Xing Xie

759 papers A* 194A 43B 14C 6Misc 10Journal 348Unranked 131
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multi-module optimized UAV-YOLOv11 model and 3D coordinate reconstruction method for UAV-based monitoring of cable dome nodes.
Adv. Eng. Informatics
Lingqian Wen, Hui Lv, Xing Xie, Xiaodong Feng, Yuanqi Li, Jiayang Lv, Feifei Liu
2026 J jnl
BPL: Bias-Adaptive Preference Distillation Learning For Recommender System.
IEEE Trans. Knowl. Data Eng.
SeongKu Kang, Jianxun Lian, Dongha Lee, Wonbin Kweon, Sanghwan Jang, Jaehyun Lee, Jindong Wang, Xing Xie, Hwanjo Yu
2026 J jnl
Contextualized Privacy Defense for LLM Agents.
CoRR
Yule Wen, Yanzhe Zhang, Jianxun Lian, Xiaoyuan Yi, Xing Xie, Diyi Yang
2026 A* conf
DuoDrama: Supporting Screenplay Refinement Through LLM-Assisted Human Reflection.
CHI
Yuying Tang, Xinyi Chen, Haotian Li, Xing Xie, Xiaojuan Ma, Huamin Qu
2026 J jnl
DuoDrama: Supporting Screenplay Refinement Through LLM-Assisted Human Reflection.
CoRR
Yuying Tang, Xinyi Chen, Haotian Li, Xing Xie, Xiaojuan Ma, Huamin Qu
2026 — conf
From Passive Consumption to Active Interaction: Exploring Interactive LLM Scaffolding to Support Learning Engagement.
CHI Extended Abstracts
Zixin Chen, Haotian Li, Zhe Liu, Huamin Qu, Xing Xie
2026 J jnl
From Passive Consumption to Active Interaction: Exploring Interactive LLM Scaffolding to Support Learning Engagement.
CoRR
Zixin Chen, Haotian Li, Zhe Liu, Huamin Qu, Xing Xie
2026 A* conf
How Do Human Creators Embrace Human-AI Co-Creation? A Perspective on Human Agency of Screenwriters.
CHI
Yuying Tang, Jiayi Zhou, Haotian Li, Xing Xie, Xiaojuan Ma, Huamin Qu
2026 J jnl
How Do Human Creators Embrace Human-AI Co-Creation? A Perspective on Human Agency of Screenwriters.
CoRR
Yuying Tang, Jiayi Zhou, Haotian Li, Xing Xie, Xiaojuan Ma, Huamin Qu
2026 — conf
HumanLLM: Towards Personalized Understanding and Simulation of Human Nature.
KDD (1)
Yuxuan Lei, Tianfu Wang, Jianxun Lian, Zhengyu Hu, Defu Lian, Xing Xie
2026 J jnl
HumanLLM: Towards Personalized Understanding and Simulation of Human Nature.
CoRR
Yuxuan Lei, Tianfu Wang, Jianxun Lian, Zhengyu Hu, Defu Lian, Xing Xie
2026 A* conf
IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization.
AAAI
Yuzhuo Bai, Shitong Duan, Muhua Huang, Jing Yao, Zhenghao Liu, Peng Zhang, Tun Lu, Xiaoyuan Yi, Maosong Sun, Xing Xie
2026 A* conf
Interaction-Augmented Instruction: Modeling the Synergy of Prompts and Interactions in Human-GenAI Collaboration.
CHI
Leixian Shen, Yifang Wang, Huamin Qu, Xing Xie, Haotian Li
2026 A* conf
MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions.
AAAI
Yanxu Zhu, Shitong Duan, Xiangxu Zhang, Jitao Sang, Peng Zhang, Tun Lu, Xiao Zhou, Jing Yao, Xiaoyuan Yi, Xing Xie
2026 J jnl
Proact-VL: A Proactive VideoLLM for Real-Time AI Companions.
CoRR
Weicai Yan, Yuhong Dai, Qi Ran, Haodong Li, Wang Lin, Hao Liao, Xing Xie, Tao Jin, Jianxun Lian
2026 J jnl
Social-R1: Towards Human-like Social Reasoning in LLMs.
CoRR
Jincenzi Wu, Yuxuan Lei, Jianxun Lian, Yitian Huang, Lexin Zhou, Haotian Li, Xing Xie, Helen Meng
2026 J jnl
Survey on Factuality in Large Language Models.
ACM Comput. Surv.
Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Qipeng Guo, Xiangkun Hu, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Xuming Hu, Zehan Qi, Wenyang Gao, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
2026 J jnl
To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks.
CoRR
Nanxu Gong, Haotian Li, Sixun Dong, Jianxun Lian, Yanjie Fu, Xing Xie
2026 J jnl
Visuospatial Perspective Taking in Multimodal Language Models.
CoRR
Jonathan E. Prunty, Seraphina Zhang, Patrick Quinn, Jianxun Lian, Xing Xie, Lucy Cheke
2025 J jnl
AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference.
CoRR
Shitong Duan, Xiaoyuan Yi, Peng Zhang, Dongkuan Xu, Jing Yao, Tun Lu, Ning Gu, Xing Xie
2025 A* conf
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection.
WWW
Sungwon Park, Sungwon Han, Xing Xie, Jae-Gil Lee, Meeyoung Cha
2025 J jnl
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning.
ACM Trans. Intell. Syst. Technol.
Hao Liao, Shuo Wang, Hao Cheng, Wei Zhang, Jiwei Zhang, Mingyang Zhou, Kezhong Lu, Rui Mao, Xing Xie
2025 J jnl
Avoid Recommending Out-of-Domain Items: Constrained Generative Recommendation with LLMs.
CoRR
Hao Liao, Wensheng Lu, Jianxun Lian, Mingqi Wu, Shuo Wang, Yong Zhang, Yitian Huang, Ming-Yang Zhou, Xing Xie
2025 J jnl
BPL: Bias-adaptive Preference Distillation Learning for Recommender System.
CoRR
SeongKu Kang, Jianxun Lian, Dongha Lee, Wonbin Kweon, Sanghwan Jang, Jaehyun Lee, Jindong Wang, Xing Xie, Hwanjo Yu
2025 — conf
Benchmarking and Defending against Indirect Prompt Injection Attacks on Large Language Models.
KDD (1)
Jingwei Yi, Yueqi Xie, Bin Zhu, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
2025 J jnl
CAReDiO: Cultural Alignment of LLM via Representativeness and Distinctiveness Guided Data Optimization.
CoRR
Jing Yao, Xiaoyuan Yi, Jindong Wang, Zhicheng Dou, Xing Xie
2025 — conf
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds.
NAACL (Long Papers)
Lei Wang, Jianxun Lian, Yi Huang, Yanqi Dai, Haoxuan Li, Xu Chen, Xing Xie, Ji-Rong Wen
2025 J jnl
Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models.
CoRR
Hanze Guo, Jing Yao, Xiao Zhou, Xiaoyuan Yi, Xing Xie
2025 J jnl
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries.
CoRR
Shudong Liu, Yiqiao Jin, Cheng Li, Derek F. Wong, Qingsong Wen, Lichao Sun, Haipeng Chen, Xing Xie, Jindong Wang
2025 J jnl
General Scales Unlock AI Evaluation with Explanatory and Predictive Power.
CoRR
Lexin Zhou, Lorenzo Pacchiardi, Fernando Martínez-Plumed, Katherine M. Collins, Yael Moros-Daval, Seraphina Zhang, Qinlin Zhao, Yitian Huang, Luning Sun, Jonathan E. Prunty, Zongqian Li, Pablo Sánchez-García, Kexin Jiang Chen, Pablo A. M. Casares, Jiyun Zu, John Burden, Behzad Mehrbakhsh, David Stillwell, Manuel Cebrián, Jindong Wang, Peter Henderson, Sherry Tongshuang Wu, Patrick C. Kyllonen, Lucy Cheke, Xing Xie, José Hernández-Orallo
2025 J jnl
Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in Large Language Models.
CoRR
Soyeon Kim, Jindong Wang, Xing Xie, Steven Euijong Whang
2025 J jnl
IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization.
CoRR
Yuzhuo Bai, Shitong Duan, Muhua Huang, Jing Yao, Zhenghao Liu, Peng Zhang, Tun Lu, Xiaoyuan Yi, Maosong Sun, Xing Xie
2025 J jnl
Impact of Noisy Supervision in Foundation Model Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Hao Chen, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj, Jindong Wang
2025 J jnl
Interaction-Augmented Instruction: Modeling the Synergy of Prompts and Interactions in Human-GenAI Collaboration.
CoRR
Leixian Shen, Yifang Wang, Huamin Qu, Xing Xie, Haotian Li
2025 J jnl
Knowing Your Uncertainty - On the application of LLM in social sciences.
CoRR
Bolun Zhang, Linzhuo Li, Yunqi Chen, Qinlin Zhao, Zihan Zhu, Xiaoyuan Yi, Xing Xie
2025 — conf
LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System.
WWW (Companion Volume)
Tianfu Wang, Yi Zhan, Jianxun Lian, Zhengyu Hu, Nicholas Jing Yuan, Qi Zhang, Xing Xie, Hui Xiong
2025 J jnl
LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System.
CoRR
Tianfu Wang, Yi Zhan, Jianxun Lian, Zhengyu Hu, Nicholas Jing Yuan, Qi Zhang, Xing Xie, Hui Xiong
2025 J jnl
Leveraging Implicit Sentiments: Enhancing Reliability and Validity in Psychological Trait Evaluation of LLMs.
CoRR
Huanhuan Ma, Haisong Gong, Xiaoyuan Yi, Xing Xie, Dongkuan Xu
2025 J jnl
MMA-ASIA: A Multilingual and Multimodal Alignment Framework for Culturally-Grounded Evaluation.
CoRR
Weihua Zheng, Zhengyuan Liu, Tanmoy Chakraborty, Weiwen Xu, Xiaoxue Gao, Bryan Chen Zhengyu Tan, Bowei Zou, Chang Liu, Yujia Hu, Xing Xie, Xiaoyuan Yi, Jing Yao, Chaojun Wang, Long Li, Rui Liu, Huiyao Liu, Koji Inoue, Ryuichi Sumida, Tatsuya Kawahara, Fan Xu, Lingyu Ye, Wei Tian, Dongjun Kim, Jimin Jung, Jaehyung Seo, Nadya Yuki Wangsajaya, Pham Minh Duc, Ojasva Saxena, Palash Nandi, Xiyan Tao, Wiwik Karlina, Tuan Luong, Keertana Arun Vasan, Roy Ka-Wei Lee, Nancy F. Chen
2025 J jnl
Meta Recommendation With Robustness Improvement.
IEEE Trans. Knowl. Data Eng.
Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie, Philip S. Yu
2025 J jnl
MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions.
CoRR
Yanxu Zhu, Shitong Duan, Xiangxu Zhang, Jitao Sang, Peng Zhang, Tun Lu, Xiao Zhou, Jing Yao, Xiaoyuan Yi, Xing Xie
2025 A* conf
MoVa: Towards Generalizable Classification of Human Morals and Values.
EMNLP
Ziyu Chen, Junfei Sun, Chenxi Li, Tuan Dung Nguyen, Jing Yao, Xiaoyuan Yi, Xing Xie, Chenhao Tan, Lexing Xie
2025 J jnl
MoVa: Towards Generalizable Classification of Human Morals and Values.
CoRR
Ziyu Chen, Junfei Sun, Chenxi Li, Tuan Dung Nguyen, Jing Yao, Xiaoyuan Yi, Xing Xie, Chenhao Tan, Lexing Xie
2025 — conf
MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models?
ACL (Findings)
Xixian Yong, Jianxun Lian, Xiaoyuan Yi, Xiao Zhou, Xing Xie
2025 J jnl
MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models?
CoRR
Xixian Yong, Jianxun Lian, Xiaoyuan Yi, Xiao Zhou, Xing Xie
2025 J jnl
Neural Recommendation Reasoning with Logic Rules.
ACM Trans. Inf. Syst.
Jing Yao, Xiting Wang, Jianxun Lian, Xiaoyuan Yi, Xing Xie
2025 J jnl
On the Dynamics of Multi-Agent LLM Communities Driven by Value Diversity.
CoRR
Muhua Huang, Qinlin Zhao, Xiaoyuan Yi, Xing Xie
2025 J jnl
PICACO: Pluralistic In-Context Value Alignment of LLMs via Total Correlation Optimization.
CoRR
Han Jiang, Dongyao Zhu, Zhihua Wei, Xiaoyuan Yi, Ziang Xiao, Xing Xie
2025 J jnl
Population-Aligned Persona Generation for LLM-based Social Simulation.
CoRR
Zhengyu Hu, Zheyuan Xiao, Max Xiong, Yuxuan Lei, Tianfu Wang, Jianxun Lian, Kaize Ding, Ziang Xiao, Nicholas Jing Yuan, Xing Xie
2025 — conf
Prompting Generative AI with Interaction-Augmented Instructions.
CHI Extended Abstracts
Leixian Shen, Haotian Li, Yifang Wang, Xing Xie, Huamin Qu
2025 J jnl
Prompting Generative AI with Interaction-Augmented Instructions.
CoRR
Leixian Shen, Haotian Li, Yifang Wang, Xing Xie, Huamin Qu
2025 A* conf
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing.
ICML
Han Jiang, Xiaoyuan Yi, Zhihua Wei, Ziang Xiao, Shu Wang, Xing Xie
2025 J jnl
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.
ACM Trans. Inf. Syst.
Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie
2025 J jnl
Research on Superalignment Should Advance Now with Parallel Optimization of Competence and Conformity.
CoRR
HyunJin Kim, Xiaoyuan Yi, Jing Yao, Muhua Huang, JinYeong Bak, James Evans, Xing Xie
2025 A* conf
Specify Privacy Yourself: Assessing Inference-Time Personalized Privacy Preservation Ability of Large Vision-Language Models.
ACM Multimedia
Xingqi Wang, Xiaoyuan Yi, Xing Xie, Jia Jia
2025 J jnl
The Incomplete Bridge: How AI Research (Mis)Engages with Psychology.
CoRR
Han Jiang, Pengda Wang, Xiaoyuan Yi, Xing Xie, Ziang Xiao
2025 — conf
Towards Better Value Principles for Large Language Model Alignment: A Systematic Evaluation and Enhancement.
ACL (1)
Bingbing Xu, Jing Yao, Xiaoyuan Yi, Aishan Maoliniyazi, Xing Xie, Xiaofeng Meng
2025 — conf
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System.
NAACL (Findings)
Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen
2025 J jnl
Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems.
Trans. Recomm. Syst.
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
2025 J jnl
Uncovering inequalities in new knowledge learning by large language models across different languages.
CoRR
Chenglong Wang, Haoyu Tang, Xiyuan Yang, Yueqi Xie, Jina Suh, Sunayana Sitaram, Junming Huang, Yu Xie, Zhaoya Gong, Xing Xie, Fangzhao Wu
2025 — conf
Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights.
ACL (1)
Sooyung Choi, Jaehyeok Lee, Xiaoyuan Yi, Jing Yao, Xing Xie, JinYeong Bak
2025 J jnl
Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights.
CoRR
Sooyung Choi, Jaehyeok Lee, Xiaoyuan Yi, Jing Yao, Xing Xie, JinYeong Bak
2025 J jnl
Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study.
CoRR
Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong
2025 — conf
Value Compass Benchmarks: A Comprehensive, Generative and Self-Evolving Platform for LLMs' Value Evaluation.
ACL (3)
Jing Yao, Xiaoyuan Yi, Shitong Duan, Jindong Wang, Yuzhuo Bai, Muhua Huang, Yang Ou, Scarlett Li, Peng Zhang, Tun Lu, Zhicheng Dou, Maosong Sun, James Evans, Xing Xie
2025 J jnl
Value Compass Leaderboard: A Platform for Fundamental and Validated Evaluation of LLMs Values.
CoRR
Jing Yao, Xiaoyuan Yi, Shitong Duan, Jindong Wang, Yuzhuo Bai, Muhua Huang, Peng Zhang, Tun Lu, Zhicheng Dou, Maosong Sun, Xing Xie
2024 A* conf
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.
WWW
Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie
2024 A* conf
A General Framework for Learning from Weak Supervision.
ICML
Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024 J jnl
A General Framework for Learning from Weak Supervision.
CoRR
Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024 J jnl
A Stepwise Refining Image-Level Weakly Supervised Semantic Segmentation Method for Detecting Exposed Surface for Buildings (ESB) From Very High-Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Xin Huang, Wenrui Wang, Jiayi Li, Leiguang Wang, Xing Xie
2024 J jnl
A Survey on Evaluation of Large Language Models.
ACM Trans. Intell. Syst. Technol.
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
2024 A* conf
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations.
AAAI
Lei Li, Jianxun Lian, Xiao Zhou, Xing Xie
2024 J jnl
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations.
CoRR
Lei Li, Jianxun Lian, Xiao Zhou, Xing Xie
2024 — ed.
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part I
PAKDD (1)
De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin
2024 — ed.
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part II
PAKDD (2)
De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin
2024 — ed.
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part III
PAKDD (3)
De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin
2024 — ed.
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part IV
PKDD (4)
De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin
2024 — ed.
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part V
PAKDD (5)
De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin
2024 — ed.
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part VI
PAKDD (6)
De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin
2024 — conf
Aligning Language Models for Versatile Text-based Item Retrieval.
WWW (Companion Volume)
Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie
2024 J jnl
Aligning Language Models for Versatile Text-based Item Retrieval.
CoRR
Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie
2024 — conf
Aligning Large Language Models for Controllable Recommendations.
ACL (1)
Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie
2024 J jnl
Aligning Large Language Models for Controllable Recommendations.
CoRR
Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie
2024 J jnl
Better Think with Tables: Leveraging Tables to Enhance Large Language Model Comprehension.
CoRR
Jio Oh, Geon Heo, Seungjun Oh, Jindong Wang, Xing Xie, Steven Euijong Whang
2024 J jnl
Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approaches.
CoRR
Pablo Biedma, Xiaoyuan Yi, Linus Huang, Maosong Sun, Xing Xie
2024 A* conf
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses.
NeurIPS
Jing Yao, Xiaoyuan Yi, Xing Xie
2024 J jnl
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses.
CoRR
Jing Yao, Xiaoyuan Yi, Xing Xie
2024 J jnl
Can I understand what I create? Self-Knowledge Evaluation of Large Language Models.
CoRR
Zhiquan Tan, Lai Wei, Jindong Wang, Xing Xie, Weiran Huang
2024 J jnl
Challenges of COVID-19 Case Forecasting in the US, 2020-2021.
PLoS Comput. Biol.
Velma K. Lopez, Estee Y. Cramer, Robert Pagano, John M. Drake, Eamon B. O'Dea, Madeline Adee, Turgay Ayer, Jagpreet Chhatwal, Ozden O. Dalgic, Mary A. Ladd, Benjamin P. Linas, Peter P. Mueller, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L. Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee, Joseph Chadi Lemaitre, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren A. Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan M. Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson
2024 J jnl
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds.
CoRR
Lei Wang, Jianxun Lian, Yi Huang, Yanqi Dai, Haoxuan Li, Xu Chen, Xing Xie, Ji-Rong Wen
2024 A* conf
CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents.
ICML
Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie
2024 A* conf
CultureLLM: Incorporating Cultural Differences into Large Language Models.
NeurIPS
Cheng Li, Mengzhuo Chen, Jindong Wang, Sunayana Sitaram, Xing Xie
2024 J jnl
CultureLLM: Incorporating Cultural Differences into Large Language Models.
CoRR
Cheng Li, Mengzhuo Chen, Jindong Wang, Sunayana Sitaram, Xing Xie
2024 A* conf
CulturePark: Boosting Cross-cultural Understanding in Large Language Models.
NeurIPS
Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
2024 J jnl
CulturePark: Boosting Cross-cultural Understanding in Large Language Models.
CoRR
Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
2024 A* conf
Denevil: towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning.
ICLR
Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie, Ning Gu
2024 J jnl
Diversify: A General Framework for Time Series Out-of-Distribution Detection and Generalization.
IEEE Trans. Pattern Anal. Mach. Intell.
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xiangyang Ji, Qiang Yang, Xing Xie
2024 J jnl
DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents.
CoRR
Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie
2024 A* conf
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks.
ICLR
Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie
2024 A* conf
Dynamic Evaluation of Large Language Models by Meta Probing Agents.
ICML
Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie
2024 A* conf
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models.
NeurIPS
Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Whang
2024 J jnl
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models.
CoRR
Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Euijong Whang
2024 J jnl
Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment.
CoRR
Yan Liu, Xiaoyuan Yi, Xiaokang Chen, Jing Yao, Jingwei Yi, Daoguang Zan, Zheng Liu, Xing Xie, Tsung-Yi Ho
2024 A* conf
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value Optimization.
ACM Multimedia
Xingqi Wang, Xiaoyuan Yi, Xing Xie, Jia Jia
2024 J jnl
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value Optimization.
CoRR
Xingqi Wang, Xiaoyuan Yi, Xing Xie, Jia Jia
2024 C conf
Enhancing Inter-Class Discrimination for Domain Adaptation of Change Detection.
IGARSS
Xueting Zhang, Xin Huang, Jiayi Li, Jie Yang, Leiguang Wang, Xing Xie
2024 J jnl
Exploring Vision-Language Models for Imbalanced Learning.
Int. J. Comput. Vis.
Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang
2024 — conf
FIXED: Frustratingly Easy Domain Generalization with Mixup.
CPAL
Wang Lu, Jindong Wang, Han Yu, Lei Huang, Xiang Zhang, Yiqiang Chen, Xing Xie
2024 A* conf
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models.
ICLR
Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
2024 J jnl
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability.
CoRR
Zihan Luo, Xiran Song, Hong Huang, Jianxun Lian, Chenhao Zhang, Jinqi Jiang, Xing Xie
2024 A* conf
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs.
WWW
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
2024 J jnl
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs.
CoRR
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
2024 — conf
IRGen: Generative Modeling for Image Retrieval.
ECCV (15)
Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Jingdong Wang, Baining Guo
2024 A* conf
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.
NeurIPS
Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xiang Li, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024 — conf
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.
ACL (1)
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang
2024 J jnl
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.
CoRR
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang
2024 J jnl
Large Language Models show both individual and collective creativity comparable to humans.
CoRR
Luning Sun, Yuzhuo Yuan, Yuan Yao, Yanyan Li, Hao Zhang, Xing Xie, Xiting Wang, Fang Luo, David Stillwell
2024 J jnl
Learning with Noisy Foundation Models.
CoRR
Hao Chen, Jindong Wang, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
2024 — conf
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels.
WWW (Companion Volume)
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024 J jnl
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels.
CoRR
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024 J jnl
Measuring Human Contribution in AI-Assisted Content Generation.
CoRR
Yueqi Xie, Tao Qi, Jingwei Yi, Ryan Whalen, Junming Huang, Qian Ding, Yu Xie, Xing Xie, Fangzhao Wu
2024 J jnl
MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare.
IEEE Trans. Neural Networks Learn. Syst.
Yiqiang Chen, Wang Lu, Xin Qin, Jindong Wang, Xing Xie
2024 — conf
Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization.
EMNLP (Findings)
Shitong Duan, Xiaoyuan Yi, Peng Zhang, Yan Liu, Zheng Liu, Tun Lu, Xing Xie, Ning Gu
2024 J jnl
Negating Negatives: Alignment without Human Positive Samples via Distributional Dispreference Optimization.
CoRR
Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie, Ning Gu
2024 J jnl
On Catastrophic Inheritance of Large Foundation Models.
CoRR
Hao Chen, Bhiksha Raj, Xing Xie, Jindong Wang
2024 J jnl
On Catastrophic Inheritance of Large Foundation Models.
J. Data-centric Mach. Learn. Res.
Hao Chen, Bhiksha Raj, Xing Xie, Jindong Wang
2024 A* conf
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models.
IJCAI
Xinpeng Wang, Shitong Duan, Xiaoyuan Yi, Jing Yao, Shanlin Zhou, Zhihua Wei, Peng Zhang, Dongkuan Xu, Maosong Sun, Xing Xie
2024 J jnl
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models.
CoRR
Xinpeng Wang, Shitong Duan, Xiaoyuan Yi, Jing Yao, Shanlin Zhou, Zhihua Wei, Peng Zhang, Dongkuan Xu, Maosong Sun, Xing Xie
2024 J jnl
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.
IEEE Data Eng. Bull.
Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie
2024 — conf
On the Vulnerability of Safety Alignment in Open-Access LLMs.
ACL (Findings)
Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu
2024 A* conf
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
ICLR
Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
2024 A* conf
Position: TrustLLM: Trustworthiness in Large Language Models.
ICML
Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024 J jnl
PromptBench: A Unified Library for Evaluation of Large Language Models.
J. Mach. Learn. Res.
Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie
2024 — conf
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.
LAMPS@CCS
Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Yue Zhang, Neil Gong, Xing Xie
2024 J jnl
Put Your Voice on Stage: Personalized Headline Generation for News Articles.
ACM Trans. Knowl. Discov. Data
Xiang Ao, Ling Luo, Xiting Wang, Zhao Yang, Jiun-Hung Chen, Ying Qiao, Qing He, Xing Xie
2024 J jnl
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing.
CoRR
Han Jiang, Xiaoyuan Yi, Zhihua Wei, Shu Wang, Xing Xie
2024 — conf
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems.
WWW (Companion Volume)
Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie
2024 J jnl
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems.
CoRR
Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie
2024 A* conf
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models.
KDD
Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
2024 — book
Recommender Systems - Frontiers and Practices
Dongsheng Li, Jianxun Lian, Le Zhang, Kan Ren, Tun Lu, Tao Wu, Xing Xie
2024 J jnl
Research on Foundation Model for Spatial Data Intelligence: China's 2024 White Paper on Strategic Development of Spatial Data Intelligence.
CoRR
Shaohua Wang, Xing Xie, Yong Li, Danhuai Guo, Zhi Cai, Yu Liu, Yang Yue, Xiao Pan, Feng Lu, Huayi Wu, Zhipeng Gui, Zhiming Ding, Bolong Zheng, Fuzheng Zhang, Tao Qin, Jingyuan Wang, Chuang Tao, Zhengchao Chen, Hao Lu, Jiayi Li, Hongyang Chen, Peng Yue, Wenhao Yu, Yao Yao, Leilei Sun, Yong Zhang, Longbiao Chen, Xiaoping Du, Xiang Li, Xueying Zhang, Kun Qin, Zhaoya Gong, Weihua Dong, Xiaofeng Meng
2024 J jnl
S
IEEE Trans. Geosci. Remote. Sens.
Lilin Tu, Jiayi Li, Xin Huang, Jianya Gong, Xing Xie, Leiguang Wang
2024 J jnl
Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network Alignment.
IEEE Trans. Neural Networks Learn. Syst.
Jie Xu, Chaozhuo Li, Feiran Huang, Zhoujun Li, Xing Xie, Philip S. Yu
2024 — conf
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization.
ECCV (54)
Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie
2024 J jnl
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization.
CoRR
Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie
2024 A* conf
Supervised Knowledge Makes Large Language Models Better In-context Learners.
ICLR
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
2024 A* conf
The Good, The Bad, and Why: Unveiling Emotions in Generative AI.
ICML
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
2024 J jnl
The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment.
CoRR
HyunJin Kim, Xiaoyuan Yi, Jing Yao, Jianxun Lian, Muhua Huang, Shitong Duan, JinYeong Bak, Xing Xie
2024 J jnl
ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph.
CoRR
Xukun Liu, Zhiyuan Peng, Xiaoyuan Yi, Xing Xie, Lirong Xiang, Yuchen Liu, Dongkuan Xu
2024 A conf
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
SDM
Wang Lu, Jindong Wang, Yidong Wang, Xing Xie
2024 J jnl
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System.
CoRR
Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen
2024 J jnl
TrustLLM: Trustworthiness in Large Language Models.
CoRR
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
2024 J jnl
Uncovering Safety Risks in Open-source LLMs through Concept Activation Vector.
CoRR
Zhihao Xu, Ruixuan Huang, Xiting Wang, Fangzhao Wu, Jing Yao, Xing Xie
2024 A* conf
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks.
ICLR
Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
2024 — conf
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value.
NAACL-HLT
Jing Yao, Xiaoyuan Yi, Yifan Gong, Xiting Wang, Xing Xie
2023 A* conf
A Causality Inspired Framework for Model Interpretation.
KDD
Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen
2023 A* conf
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.
NeurIPS
Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang
2023 J jnl
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.
CoRR
Xu Huang, Jianxun Lian, Hao Wang, Defu Lian, Xing Xie
2023 J jnl
A Survey on Evaluation of Large Language Models.
CoRR
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
2023 A* conf
A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract.
ICDE
Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2023 A conf
A Tutorial on Domain Generalization.
WSDM
Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie
2023 A conf
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
CIKM
Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim
2023 J jnl
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering.
ACM Trans. Inf. Syst.
Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
2023 — conf
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark.
ACL (1)
Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie
2023 J jnl
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark.
CoRR
Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie
2023 A* conf
Bayesian Active Causal Discovery with Multi-Fidelity Experiments.
NeurIPS
Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie
2023 J jnl
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models.
CoRR
Jingwei Yi, Yueqi Xie, Bin Zhu, Keegan Hines, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
2023 A* conf
Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning.
SIGIR
Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong
2023 J jnl
CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models.
CoRR
Yuhang Wang, Yanxu Zhu, Chao Kong, Shuyu Wei, Xiaoyuan Yi, Xing Xie, Jitao Sang
2023 J jnl
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection.
ACM Trans. Intell. Syst. Technol.
Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen
2023 J jnl
Can Transformer and GNN Help Each Other?
CoRR
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim
2023 J jnl
CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents.
CoRR
Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie
2023 A* conf
Continual Learning on Dynamic Graphs via Parameter Isolation.
SIGIR
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
2023 J jnl
Continual Learning on Dynamic Graphs via Parameter Isolation.
CoRR
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
2023 J jnl
Control Risk for Potential Misuse of Artificial Intelligence in Science.
CoRR
Jiyan He, Weitao Feng, Yaosen Min, Jingwei Yi, Kunsheng Tang, Shuai Li, Jie Zhang, Kejiang Chen, Wenbo Zhou, Xing Xie, Weiming Zhang, Nenghai Yu, Shuxin Zheng
2023 J jnl
ConvFormer: Revisiting Transformer for Sequential User Modeling.
CoRR
Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie
2023 A* conf
Cooperative Retriever and Ranker in Deep Recommenders.
WWW
Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen
2023 A* conf
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective.
NeurIPS
Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Xing Xie, Hai Jin
2023 J jnl
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization.
CoRR
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xiangyang Ji, Qiang Yang, Xing Xie
2023 J jnl
Defending ChatGPT against jailbreak attack via self-reminders.
Nat. Mac. Intell.
Yueqi Xie, Jingwei Yi, Jiawei Shao, Justin Curl, Lingjuan Lyu, Qifeng Chen, Xing Xie, Fangzhao Wu
2023 J jnl
Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning.
CoRR
Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie, Ning Gu
2023 A* conf
Distillation from Heterogeneous Models for Top-K Recommendation.
WWW
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
2023 J jnl
Distillation from Heterogeneous Models for Top-K Recommendation.
CoRR
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
2023 A* conf
Domain-Specific Risk Minimization for Domain Generalization.
KDD
Yifan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
2023 — conf
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation.
ACL (1)
Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie
2023 A* conf
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision.
WWW
Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
2023 J jnl
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision.
CoRR
Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
2023 J jnl
DyVal: Graph-informed Dynamic Evaluation of Large Language Models.
CoRR
Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie
2023 A conf
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.
WSDM
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
2023 J jnl
EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus.
CoRR
Cheng Li, Jindong Wang, Kaijie Zhu, Yixuan Zhang, Wenxin Hou, Jianxun Lian, Xing Xie
2023 J jnl
Evaluating General-Purpose AI with Psychometrics.
CoRR
Xiting Wang, Liming Jiang, José Hernández-Orallo, Luning Sun, David Stillwell, Fang Luo, Xing Xie
2023 J jnl
Exploring Vision-Language Models for Imbalanced Learning.
CoRR
Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang
2023 J jnl
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning.
CoRR
Wang Lu, Xixu Hu, Jindong Wang, Xing Xie
2023 J jnl
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning.
IEEE Data Eng. Bull.
Wang Lu, Xixu Hu, Jindong Wang, Xing Xie
2023 A* conf
FedDefender: Client-Side Attack-Tolerant Federated Learning.
KDD
Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
2023 J jnl
FedDefender: Client-Side Attack-Tolerant Federated Learning.
CoRR
Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
2023 A* conf
FedSampling: A Better Sampling Strategy for Federated Learning.
IJCAI
Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
2023 J jnl
FedSampling: A Better Sampling Strategy for Federated Learning.
CoRR
Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
2023 J jnl
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models.
CoRR
Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
2023 A* conf
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.
ICLR
Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie
2023 J jnl
From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models.
CoRR
Jing Yao, Xiaoyuan Yi, Xiting Wang, Jindong Wang, Xing Xie
2023 J jnl
Frustratingly Easy Model Generalization by Dummy Risk Minimization.
CoRR
Juncheng Wang, Jindong Wang, Xixu Hu, Shujun Wang, Xing Xie
2023 — conf
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective.
ACL (Findings)
Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang
2023 A* conf
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning.
KDD
Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen
2023 J jnl
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning.
CoRR
Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen
2023 J jnl
IRGen: Generative Modeling for Image Retrieval.
CoRR
Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Jingdong Wang, Baining Guo
2023 J jnl
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.
CoRR
Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2023 A* conf
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning.
ICCV
Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang
2023 J jnl
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning.
CoRR
Kaijie Zhu, Jindong Wang, Xixu Hu, Xing Xie, Ge Yang
2023 A* conf
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation.
IJCAI
Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie
2023 J jnl
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation.
CoRR
Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie
2023 J jnl
Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations.
CoRR
Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, Xing Xie
2023 A* conf
Learning on Large-scale Text-attributed Graphs via Variational Inference.
ICLR
Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
2023 A* conf
Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval.
EMNLP
Junhan Yang, Zheng Liu, Chaozhuo Li, Guangzhong Sun, Xing Xie
2023 A* conf
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection.
KDD
Hao Liao, Jiahao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie
2023 J jnl
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection.
CoRR
Hao Liao, Jiaohao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie
2023 J jnl
Meta Semantic Template for Evaluation of Large Language Models.
CoRR
Yachuan Liu, Liang Chen, Jindong Wang, Qiaozhu Mei, Xing Xie
2023 A* conf
Model-enhanced Vector Index.
NeurIPS
Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui
2023 J jnl
Model-enhanced Vector Index.
CoRR
Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui
2023 A* conf
Multi-Grained Topological Pre-Training of Language Models in Sponsored Search.
SIGIR
Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
2023 J jnl
Network Representation Lightening From Hashing to Quantization.
IEEE Trans. Knowl. Data Eng.
Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, Enhong Chen
2023 A conf
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement.
CIKM
Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen
2023 J jnl
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.
CoRR
Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie
2023 A* conf
Out-of-distribution Representation Learning for Time Series Classification.
ICLR
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie
2023 A* conf
PASS: Personalized Advertiser-aware Sponsored Search.
KDD
Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
2023 J jnl
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
CoRR
Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
2023 J jnl
Personalized News Recommendation: Methods and Challenges.
ACM Trans. Inf. Syst.
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
2023 J jnl
PromptBench: A Unified Library for Evaluation of Large Language Models.
CoRR
Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie
2023 J jnl
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.
CoRR
Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie
2023 A* conf
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes.
AAAI
Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie
2023 J jnl
RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability.
CoRR
Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
2023 J jnl
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.
CoRR
Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie
2023 J jnl
Reinforcement Routing on Proximity Graph for Efficient Recommendation.
ACM Trans. Inf. Syst.
Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen
2023 J jnl
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
IEEE Trans. Knowl. Data Eng.
Chaozhuo Li, Senzhang Wang, Jie Xu, Zheng Liu, Hao Wang, Xing Xie, Lei Chen, Philip S. Yu
2023 J jnl
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning.
CoRR
Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
2023 A* conf
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning.
ICLR
Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
2023 J jnl
Supervised Knowledge Makes Large Language Models Better In-context Learners.
CoRR
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
2023 J jnl
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.
CoRR
Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
2023 J jnl
The Good, The Bad, and Why: Unveiling Emotions in Generative AI.
CoRR
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
2023 — conf
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.
ACL (1)
Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie
2023 J jnl
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.
CoRR
Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie
2023 A* conf
ToViLaG: Your Visual-Language Generative Model is Also An Evildoer.
EMNLP
Xinpeng Wang, Xiaoyuan Yi, Han Jiang, Shanlin Zhou, Zhihua Wei, Xing Xie
2023 J jnl
ToViLaG: Your Visual-Language Generative Model is Also An Evildoer.
CoRR
Xinpeng Wang, Xiaoyuan Yi, Han Jiang, Shanlin Zhou, Zhihua Wei, Xing Xie
2023 A* conf
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis.
ICCV
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
2023 J jnl
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis.
CoRR
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
2023 A* conf
Towards Explainable Collaborative Filtering with Taste Clusters Learning.
WWW
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
2023 J jnl
Towards Explainable Collaborative Filtering with Taste Clusters Learning.
CoRR
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
2023 — conf
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
CDPD
Wang Lu, Jindong Wang, Yidong Wang, Xing Xie
2023 A* conf
Trustworthy Machine Learning: Robustness, Generalization, and Interpretability.
KDD
Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie
2023 A* conf
UA-FedRec: Untargeted Attack on Federated News Recommendation.
KDD
Jingwei Yi, Fangzhao Wu, Bin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie
2023 J jnl
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks.
CoRR
Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
2023 A* conf
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization.
ICLR
Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie
2023 J jnl
Unpacking the Ethical Value Alignment in Big Models.
CoRR
Xiaoyuan Yi, Jing Yao, Xiting Wang, Xing Xie
2023 A* conf
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs.
NeurIPS
Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang
2023 J jnl
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Values.
CoRR
Jing Yao, Xiaoyuan Yi, Xiting Wang, Yifan Gong, Xing Xie
2023 J jnl
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning.
CoRR
Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji
2023 A* conf
xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction.
WWW
Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin
2022 J jnl
A Generic Construction of Designated Verifier Signature from Standard Cryptographic Algorithms.
J. Inf. Sci. Eng.
Jun-Rui Wang, Xing Xie, Yu-Chi Chen
2022 A* conf
A Joint Learning Framework for Restaurant Survival Prediction and Explanation.
EMNLP
Xin Li, Xiaojie Zhang, Peng Jia, Rui Mao, Ming-Yang Zhou, Xing Xie, Hao Liao
2022 J jnl
A Mutually Reinforced Framework for Pretrained Sentence Embeddings.
CoRR
Junhan Yang, Zheng Liu, Shitao Xiao, Jianxun Lian, Lijun Wu, Defu Lian, Guangzhong Sun, Xing Xie
2022 A* conf
A Neural Corpus Indexer for Document Retrieval.
NeurIPS
Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang
2022 J jnl
A Neural Corpus Indexer for Document Retrieval.
CoRR
Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang
2022 J jnl
A Survey on Knowledge Graph-Based Recommender Systems.
IEEE Trans. Knowl. Data Eng.
Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2022 A conf
Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks.
WSDM
Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
2022 A* conf
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation.
SIGIR
Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
2022 J jnl
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation.
CoRR
Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
2022 J jnl
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection.
CoRR
Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen
2022 A* conf
Clickbait Detection via Contrastive Variational Modelling of Text and Label.
IJCAI
Xiaoyuan Yi, Jiarui Zhang, Wenhao Li, Xiting Wang, Xing Xie
2022 J jnl
Conference Report: The 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2022) Seattle, Washington, USA November 1-4, 2022.
ACM SIGSPATIAL Special
Matthias Renz, Mohamed Sarwat, Mario A. Nascimento, Shashi Shekhar, Xing Xie
2022 J jnl
Cooperative Retriever and Ranker in Deep Recommenders.
CoRR
Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen
2022 A* conf
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.
SIGIR
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie
2022 J jnl
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.
CoRR
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie
2022 J jnl
Domain-Specific Risk Minimization.
CoRR
Yifan Zhang, Jindong Wang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
2022 J jnl
Domain-invariant Feature Exploration for Domain Generalization.
CoRR
Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, Xing Xie
2022 J jnl
Domain-invariant Feature Exploration for Domain Generalization.
Trans. Mach. Learn. Res.
Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, Xing Xie
2022 J jnl
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation.
CoRR
Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie
2022 A* conf
Effective and Efficient Query-aware Snippet Extraction for Web Search.
EMNLP
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie
2022 J jnl
Effective and Efficient Query-aware Snippet Extraction for Web Search.
CoRR
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie
2022 J jnl
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.
CoRR
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
2022 J jnl
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift.
CoRR
Yivan Zhang, Jindong Wang, Xing Xie, Masashi Sugiyama
2022 A* conf
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention.
EMNLP
Wenhao Li, Xiaoyuan Yi, Jinyi Hu, Maosong Sun, Xing Xie
2022 J jnl
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention.
CoRR
Wenhao Li, Xiaoyuan Yi, Jinyi Hu, Maosong Sun, Xing Xie
2022 A conf
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.
CIKM
Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
2022 J jnl
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.
CoRR
Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
2022 J jnl
FIXED: Frustratingly Easy Domain Generalization with Mixup.
CoRR
Wang Lu, Jindong Wang, Han Yu, Lei Huang, Xiang Zhang, Yiqiang Chen, Xing Xie
2022 A* conf
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning.
NeurIPS
Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie
2022 J jnl
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning.
CoRR
Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie
2022 A* conf
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling.
KDD
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
2022 J jnl
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling.
CoRR
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
2022 J jnl
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation.
CoRR
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
2022 J jnl
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data.
ACM Trans. Intell. Syst. Technol.
Chuhan Wu, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
2022 — conf
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation.
ECCV (30)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
2022 J jnl
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation.
CoRR
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
2022 A* conf
FeedRec: News Feed Recommendation with Various User Feedbacks.
WWW
Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie
2022 A* conf
Forest-based Deep Recommender.
SIGIR
Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen
2022 A* conf
Friend Recommendations with Self-Rescaling Graph Neural Networks.
KDD
Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
2022 — conf
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation.
NAACL-HLT
Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie
2022 J jnl
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation.
CoRR
Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie
2022 J jnl
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective.
CoRR
Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang
2022 J jnl
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction.
CoRR
Chuhan Wu, Fangzhao Wu, Tao Qi, Yanlin Wang, Yuqing Yang, Yongfeng Huang, Xing Xie
2022 — conf
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization.
EMNLP (Findings)
Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu
2022 J jnl
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization.
CoRR
Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu
2022 A* conf
Geometric Disentangled Collaborative Filtering.
SIGIR
Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang
2022 J jnl
Geometric Interaction Augmented Graph Collaborative Filtering.
CoRR
Yiding Zhang, Chaozhuo Li, Senzhang Wang, Jianxun Lian, Xing Xie
2022 J jnl
Graph convolution machine for context-aware recommender system.
Frontiers Comput. Sci.
Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie
2022 A* conf
HousE: Knowledge Graph Embedding with Householder Parameterization.
ICML
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
2022 J jnl
HousE: Knowledge Graph Embedding with Householder Parameterization.
CoRR
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
2022 A* conf
Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads.
KDD
Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
2022 A conf
Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates.
CIKM
Danyang Liu, Yuji Yang, Mengdi Zhang, Wei Wu, Xing Xie, Guangzhong Sun
2022 J jnl
Learning on Large-scale Text-attributed Graphs via Variational Inference.
CoRR
Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
2022 A conf
Localized Graph Collaborative Filtering.
SDM
Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie, Jiliang Tang
2022 A* conf
MINDSim: User Simulator for News Recommenders.
WWW
Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
2022 J jnl
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare.
CoRR
Yiqiang Chen, Wang Lu, Xin Qin, Jindong Wang, Xing Xie
2022 A* conf
Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning.
WWW
Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie
2022 J jnl
Negative Sampling for Contrastive Representation Learning: A Review.
CoRR
Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Ji-Rong Wen
2022 A* conf
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices.
KDD
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
2022 J jnl
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices.
CoRR
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
2022 J jnl
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better.
CoRR
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
2022 J jnl
Out-of-Distribution Representation Learning for Time Series Classification.
CoRR
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie
2022 A* conf
Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora.
KDD
Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan
2022 J jnl
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation.
CoRR
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie
2022 A* conf
ProFairRec: Provider Fairness-aware News Recommendation.
SIGIR
Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2022 J jnl
ProFairRec: Provider Fairness-aware News Recommendation.
CoRR
Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2022 A* conf
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.
WWW
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie
2022 J jnl
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.
CoRR
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang
2022 J jnl
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes.
CoRR
Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie
2022 A* conf
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction.
EMNLP
Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, Xing Xie
2022 J jnl
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction.
CoRR
Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, Xing Xie
2022 — conf
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation.
EMNLP (Findings)
Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie
2022 J jnl
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation.
CoRR
Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie
2022 J jnl
Reinforcement Routing on Proximity Graph for Efficient Recommendation.
CoRR
Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen
2022 A* conf
Reinforcement Subgraph Reasoning for Fake News Detection.
KDD
Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
2022 J jnl
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization.
CoRR
Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim
2022 J jnl
Robust Quantity-Aware Aggregation for Federated Learning.
CoRR
Jingwei Yi, Fangzhao Wu, Huishuai Zhang, Bin Zhu, Tao Qi, Guangzhong Sun, Xing Xie
2022 A* conf
Self-explaining deep models with logic rule reasoning.
NeurIPS
Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha
2022 J jnl
Self-explaining deep models with logic rule reasoning.
CoRR
Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha
2022 A conf
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations.
WSDM
Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie
2022 J jnl
Test-Time Training for Graph Neural Networks.
CoRR
Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie
2022 A conf
Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation.
CIKM
Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue
2022 A* conf
Towards Fine-Grained Reasoning for Fake News Detection.
AAAI
Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie
2022 J jnl
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
CoRR
Wang Lu, Jindong Wang, Yidong Wang, Kan Ren, Yiqiang Chen, Xing Xie
2022 A* conf
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop.
KDD
Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Bhuvan Middha, Fangzhao Wu, Xing Xie
2022 J jnl
Two-Stage Neural Contextual Bandits for Personalised News Recommendation.
CoRR
Mengyan Zhang, Thanh Nguyen-Tang, Fangzhao Wu, Zhenyu He, Xing Xie, Cheng Soon Ong
2022 J jnl
UA-FedRec: Untargeted Attack on Federated News Recommendation.
CoRR
Jingwei Yi, Fangzhao Wu, Bin Zhu, Yang Yu, Chao Zhang, Guangzhong Sun, Xing Xie
2022 A* conf
USB: A Unified Semi-supervised Learning Benchmark for Classification.
NeurIPS
Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
2022 J jnl
USB: A Unified Semi-supervised Learning Benchmark.
CoRR
Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
2022 J jnl
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search.
CoRR
Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie
2022 A* conf
Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search.
KDD
Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie
2022 J jnl
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization.
CoRR
Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie
2021 A* conf
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search.
SIGIR
Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang
2021 J jnl
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search.
CoRR
Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang
2021 J jnl
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering.
CoRR
Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
2021 J jnl
BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories.
IEEE Trans. Big Data
Shunsuke Aoki, Kaoru Sezaki, Nicholas Jing Yuan, Xing Xie
2021 J jnl
DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation.
CoRR
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Qifei Li, Guangzhong Sun, Xing Xie
2021 J jnl
Discrete Matrix Factorization and Extension for Fast Item Recommendation.
IEEE Trans. Knowl. Data Eng.
Defu Lian, Xing Xie, Enhong Chen
2021 — conf
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation.
EMNLP (1)
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie
2021 J jnl
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation.
CoRR
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie
2021 J jnl
Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification.
Knowl. Based Syst.
Yao Wu, Yu Song, Hong Huang, Fanghua Ye, Xing Xie, Hai Jin
2021 A* conf
Fairness-aware News Recommendation with Decomposed Adversarial Learning.
AAAI
Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2021 J jnl
Fastformer: Additive Attention Can Be All You Need.
CoRR
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
2021 J jnl
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation.
CoRR
Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie
2021 J jnl
FedKD: Communication Efficient Federated Learning via Knowledge Distillation.
CoRR
Chuhan Wu, Fangzhao Wu, Ruixuan Liu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
2021 J jnl
Gophormer: Ego-Graph Transformer for Node Classification.
CoRR
Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye
2021 A* conf
Graph Structure Estimation Neural Networks.
WWW
Ruijia Wang, Shuai Mou, Xiao Wang, Wanpeng Xiao, Qi Ju, Chuan Shi, Xing Xie
2021 J jnl
GraphFormers: GNN-nested Language Models for Linked Text Representation.
CoRR
Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Guangzhong Sun, Xing Xie
2021 A* conf
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph.
NeurIPS
Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie
2021 — conf
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation.
ACL/IJCNLP (1)
Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang
2021 J jnl
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation.
CoRR
Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang
2021 J jnl
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks.
CoRR
Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie
2021 J jnl
Learning Graph Representation With Generative Adversarial Nets.
IEEE Trans. Knowl. Data Eng.
Hongwei Wang, Jialin Wang, Jia Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Wenjie Li, Xing Xie, Minyi Guo
2021 A* conf
Learning Groupwise Explanations for Black-Box Models.
IJCAI
Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie
2021 — conf
Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search.
EMNLP (Findings)
Shuxian Bi, Chaozhuo Li, Xiao Han, Zheng Liu, Xing Xie, Haizhen Huang, Zengxuan Wen
2021 A* conf
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation.
SIGIR
Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen
2021 J jnl
Localized Graph Collaborative Filtering.
CoRR
Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie
2021 — conf
Matching-oriented Embedding Quantization For Ad-hoc Retrieval.
EMNLP (1)
Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie
2021 J jnl
Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations.
CoRR
Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Xing Xie
2021 J jnl
Multi-Stage Network Embedding for Exploring Heterogeneous Edges.
CoRR
Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin
2021 J jnl
Multi-Stage Network Embedding for Exploring Heterogeneous Edges.
ACM Trans. Knowl. Discov. Data
Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin
2021 J jnl
Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference.
IEEE Trans. Syst. Man Cybern. Syst.
Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu
2021 J jnl
Neural News Recommendation with Negative Feedback.
CoRR
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
2021 — conf
PENS: A Dataset and Generic Framework for Personalized News Headline Generation.
ACL/IJCNLP (1)
Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He, Xing Xie
2021 J jnl
Product Quantized Collaborative Filtering.
IEEE Trans. Knowl. Data Eng.
Defu Lian, Xing Xie, Enhong Chen, Hui Xiong
2021 A* conf
Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning.
KDD
Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
2021 A* conf
Reinforcing Pretrained Models for Generating Attractive Text Advertisements.
KDD
Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie
2021 — ed.
SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, Virtual Event / Beijing, China, November 2-5, 2021
SIGSPATIAL/GIS
Xiaofeng Meng, Fusheng Wang, Chang-Tien Lu, Yan Huang, Shashi Shekhar, Xing Xie
2021 J jnl
Search-oriented Differentiable Product Quantization.
CoRR
Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie
2021 A* conf
Self-supervised Graph Learning for Recommendation.
SIGIR
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
2021 J jnl
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
CoRR
Chaozhuo Li, Senzhang Wang, Zheng Liu, Xing Xie, Lei Chen, Philip S. Yu
2021 J jnl
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations.
CoRR
Yu Song, Jianxun Lian, Shuai Sun, Hong Huang, Yu Li, Hai Jin, Xing Xie
2021 — ed.
Spatial Data and Intelligence - First International Conference, SpatialDI 2020, Virtual Event, May 8-9, 2020, Proceedings
SpatialDI
Xiaofeng Meng, Xing Xie, Yang Yue, Zhiming Ding
2021 J jnl
Towards Fine-Grained Reasoning for Fake News Detection.
CoRR
Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie
2021 J jnl
Training Microsoft News Recommenders with Pretrained Language Models in the Loop.
CoRR
Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie
2021 — conf
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving.
EMNLP (Findings)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2021 J jnl
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving.
CoRR
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2021 A* conf
User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation.
IJCAI
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
2021 J jnl
UserBERT: Contrastive User Model Pre-training.
CoRR
Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Xing Xie
2020 J jnl
A Hierarchical Attention Model for Social Contextual Image Recommendation.
IEEE Trans. Knowl. Data Eng.
Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang
2020 J jnl
A Survey on Knowledge Graph-Based Recommender Systems.
CoRR
Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2020 J jnl
Correction to: Special issue on recommender system.
CCF Trans. Pervasive Comput. Interact.
Bin Guo, Xing Xie, Lina Yao, Yong Li, Xia Hu
2020 J jnl
Detecting Entities of Works for Chinese Chatbot.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie
2020 J jnl
Fairness-aware News Recommendation with Decomposed Adversarial Learning.
CoRR
Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2020 J jnl
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data.
CoRR
Chuhan Wu, Fangzhao Wu, Tao Di, Yongfeng Huang, Xing Xie
2020 J jnl
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning.
CoRR
Suyu Ge, Fangzhao Wu, Chuhan Wu, Tao Qi, Yongfeng Huang, Xing Xie
2020 A* conf
Fine-grained Interest Matching for Neural News Recommendation.
ACL
Heyuan Wang, Fangzhao Wu, Zheng Liu, Xing Xie
2020 A* conf
Geography-Aware Sequential Location Recommendation.
KDD
Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen
2020 J jnl
Graph Convolution Machine for Context-aware Recommender System.
CoRR
Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie, Yongdong Zhang
2020 A* conf
Graph Neural News Recommendation with Unsupervised Preference Disentanglement.
ACL
Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou
2020 J jnl
Incorporating User-Comment Graph for Fake News Detection.
CoRR
Hao Liao, Qi-Xin Liu, Kai Shu, Xing Xie
2020 A conf
KRED: Knowledge-Aware Document Representation for News Recommendations.
RecSys
Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
2020 A* conf
Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs.
SIGIR
Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie
2020 A* conf
LightRec: A Memory and Search-Efficient Recommender System.
WWW
Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
2020 A* conf
MIND: A Large-scale Dataset for News Recommendation.
ACL
Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou
2020 J jnl
Neural news recommendation with negative feedback.
CCF Trans. Pervasive Comput. Interact.
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
2020 A* conf
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates.
SIGIR
Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
2020 — conf
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision.
EMNLP (Findings)
Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie
2020 J jnl
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision.
CoRR
Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie
2020 — conf
Privacy-Preserving News Recommendation Model Learning.
EMNLP (Findings)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2020 J jnl
Privacy-Preserving News Recommendation Model Training via Federated Learning.
CoRR
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2020 A* conf
Sampling-Decomposable Generative Adversarial Recommender.
NeurIPS
Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen
2020 J jnl
Sampling-Decomposable Generative Adversarial Recommender.
CoRR
Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen
2020 J jnl
Self-supervised Graph Learning for Recommendation.
CoRR
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
2020 J jnl
Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining.
J. Comput. Sci. Technol.
Fuzhen Zhuang, Ying-Min Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong
2020 A* conf
Towards Explainable Conversational Recommendation.
IJCAI
Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen
2019 J jnl
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval.
CoRR
Zheng Liu, Yu Xing, Jianxun Lian, Defu Lian, Ziyao Li, Xing Xie
2019 A conf
ARP: Aspect-aware Neural Review Rating Prediction.
CIKM
Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie
2019 A* conf
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation.
IJCAI
Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
2019 A* conf
CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare.
ICDM
Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie
2019 A* conf
Co-Attentive Multi-Task Learning for Explainable Recommendation.
IJCAI
Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen
2019 A* conf
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems.
IJCAI
Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
2019 J jnl
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems.
CoRR
Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
2019 J jnl
Collaborative Translational Metric Learning.
CoRR
Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu
2019 A* conf
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching.
AAAI
Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie
2019 — conf
Evaluating Image-Inspired Poetry Generation.
NLPCC (1)
Chao-Chung Wu, Ruihua Song, Tetsuya Sakai, Wen-Feng Cheng, Xing Xie, Shou-De Lin
2019 A* conf
Explainable Recommendation through Attentive Multi-View Learning.
AAAI
Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie
2019 J jnl
Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems.
ACM Trans. Inf. Syst.
Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo
2019 — conf
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction.
ACL (1)
Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang
2019 — conf
Fast Neural Chinese Named Entity Recognition with Multi-head Self-attention.
CCKS
Tao Qi, Chuhan Wu, Fangzhao Wu, Suyu Ge, Junxin Liu, Yongfeng Huang, Xing Xie
2019 J jnl
Fast and Accurate Knowledge-Aware Document Representation Enhancement for News Recommendations.
CoRR
Danyang Liu, Jianxun Lian, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
2019 J jnl
Helpfulness-aware review based neural recommendation.
CCF Trans. Pervasive Comput. Interact.
Suyu Ge, Tao Qi, Chuhan Wu, Fangzhao Wu, Xing Xie, Yongfeng Huang
2019 A* conf
Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network.
IJCAI
Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, Xing Xie
2019 A* conf
Knowledge Graph Convolutional Networks for Recommender Systems.
WWW
Hongwei Wang, Miao Zhao, Xing Xie, Wenjie Li, Minyi Guo
2019 J jnl
Knowledge Graph Convolutional Networks for Recommender Systems.
CoRR
Hongwei Wang, Miao Zhao, Xing Xie, Wenjie Li, Minyi Guo
2019 A conf
MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention.
WSDM
Chuhan Wu, Fangzhao Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang, Xing Xie
2019 A* conf
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation.
WWW
Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo
2019 J jnl
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation.
CoRR
Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo
2019 A conf
NICE: Neural In-Hospital Cost Estimation from Medical Records.
CIKM
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
2019 A* conf
NPA: Neural News Recommendation with Personalized Attention.
KDD
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie
2019 J jnl
NPA: Neural News Recommendation with Personalized Attention.
CoRR
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie
2019 A* conf
NRPA: Neural Recommendation with Personalized Attention.
SIGIR
Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
2019 J jnl
NRPA: Neural Recommendation with Personalized Attention.
CoRR
Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
2019 — conf
Neural CTR Prediction for Native Ad.
CCL
Mingxiao An, Fangzhao Wu, Heyuan Wang, Tao Di, Jianqiang Huang, Xing Xie
2019 A* conf
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation.
WWW
Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie
2019 J jnl
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation.
CoRR
Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie
2019 A* conf
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization.
WWW
Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2019 J jnl
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization.
CoRR
Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2019 J jnl
Neural Chinese word segmentation with dictionary.
Neurocomputing
Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2019 A conf
Neural Demographic Prediction using Search Query.
WSDM
Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie
2019 — conf
Neural Gender Prediction from News Browsing Data.
CCL
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
2019 A conf
Neural Gender Prediction in Microblogging with Emotion-aware User Representation.
CIKM
Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie
2019 A* conf
Neural News Recommendation with Attentive Multi-View Learning.
IJCAI
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie
2019 J jnl
Neural News Recommendation with Attentive Multi-View Learning.
CoRR
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie
2019 — conf
Neural News Recommendation with Heterogeneous User Behavior.
EMNLP/IJCNLP (1)
Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie
2019 — conf
Neural News Recommendation with Long- and Short-term User Representations.
ACL (1)
Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie
2019 — conf
Neural News Recommendation with Multi-Head Self-Attention.
EMNLP/IJCNLP (1)
Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie
2019 — conf
Neural News Recommendation with Topic-Aware News Representation.
ACL (1)
Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie
2019 — conf
Neural Response Generation with Relevant Emotions for Short Text Conversation.
NLPCC (1)
Zhongxia Chen, Ruihua Song, Xing Xie, Jian-Yun Nie, Xiting Wang, Fuzheng Zhang, Enhong Chen
2019 — conf
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors.
DASFAA (3)
Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie
2019 J jnl
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors.
CoRR
Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie
2019 A conf
Neural Review Rating Prediction with User and Product Memory.
CIKM
Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie
2019 — conf
News Graph: An Enhanced Knowledge Graph for News Recommendation.
KaRS@CIKM
Danyang Liu, Ting Bai, Jianxun Lian, Xin Zhao, Guangzhong Sun, Ji-Rong Wen, Xing Xie
2019 A* conf
Personalized Multimedia Item and Key Frame Recommendation.
IJCAI
Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang
2019 J jnl
Personalized Multimedia Item and Key Frame Recommendation.
CoRR
Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang
2019 J jnl
Personalized Reason Generation for Explainable Song Recommendation.
ACM Trans. Intell. Syst. Technol.
Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Zhongxia Chen, Xing Xie, Xueming Qian
2019 — conf
REET: Joint Relation Extraction and Entity Typing via Multi-task Learning.
NLPCC (1)
Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang, Xing Xie, Yueheng Sun
2019 — conf
REKER: Relation Extraction with Knowledge of Entity and Relation.
NLPCC (2)
Hongtao Liu, Yian Wang, Fangzhao Wu, Pengfei Jiao, Hongyan Xu, Xing Xie
2019 A conf
Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation.
CIKM
Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
2019 — conf
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network.
EMNLP/IJCNLP (1)
Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie
2019 A conf
Sentiment Lexicon Enhanced Neural Sentiment Classification.
CIKM
Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie
2019 A* conf
Session-Based Recommendation with Graph Neural Networks.
AAAI
Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan
2019 J jnl
Special issue on recommender system.
CCF Trans. Pervasive Comput. Interact.
Bin Guo, Xing Xie, Lina Yao, Yong Li, Cecilia Mascolo, Xia Hu
2019 — conf
Title-Aware Neural News Topic Prediction.
CCL
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
2019 A* conf
Towards a Deep and Unified Understanding of Deep Neural Models in NLP.
ICML
Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie
2019 J jnl
Transcribing Content from Structural Images with Spotlight Mechanism.
CoRR
Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu
2018 A* conf
A Reinforcement Learning Framework for Explainable Recommendation.
ICDM
Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie
2018 A* conf
Attention-driven Factor Model for Explainable Personalized Recommendation.
SIGIR
Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He
2018 J jnl
Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems.
ACM Trans. Inf. Syst.
Wayne Xin Zhao, Wenhui Zhang, Yulan He, Xing Xie, Ji-Rong Wen
2018 A* conf
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition.
AAAI
Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong
2018 J jnl
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model or Urban Resident Recognition.
CoRR
Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong
2018 A* conf
Collaborative Translational Metric Learning.
ICDM
Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu
2018 A* conf
Context-aware Academic Collaborator Recommendation.
KDD
Zheng Liu, Xing Xie, Lei Chen
2018 J jnl
Cross-domain novelty seeking trait mining for sequential recommendation.
CoRR
Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He
2018 A* conf
DKN: Deep Knowledge-Aware Network for News Recommendation.
WWW
Hongwei Wang, Fuzheng Zhang, Xing Xie, Minyi Guo
2018 J jnl
DKN: Deep Knowledge-Aware Network for News Recommendation.
CoRR
Hongwei Wang, Fuzheng Zhang, Xing Xie, Minyi Guo
2018 A* conf
DRN: A Deep Reinforcement Learning Framework for News Recommendation.
WWW
Guanjie Zheng, Fuzheng Zhang, Zihan Zheng, Yang Xiang, Nicholas Jing Yuan, Xing Xie, Zhenhui Li
2018 — conf
Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention.
SMM4H@EMNLP
Chuhan Wu, Fangzhao Wu, Junxin Liu, Sixing Wu, Yongfeng Huang, Xing Xie
2018 J jnl
Dummy Generation Based on User-Movement Estimation for Location Privacy Protection.
IEEE Access
Shuhei Hayashida, Daichi Amagata, Takahiro Hara, Xing Xie
2018 J jnl
GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization.
ACM Trans. Inf. Syst.
Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie
2018 A* conf
GraphGAN: Graph Representation Learning With Generative Adversarial Nets.
AAAI
Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo
2018 J jnl
Guest editorial: special issue on mobile crowdsourcing - Preface to the special issue on mobile crowdsourcing.
World Wide Web
Bin Guo, Xing Xie, Raghu K. Ganti, Daqing Zhang, Zhu Wang
2018 B conf
HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation.
COLING
Sixing Wu, Dawei Zhang, Ying Li, Xing Xie, Zhonghai Wu
2018 A* conf
High-order Proximity Preserving Information Network Hashing.
KDD
Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie
2018 A* conf
How to Impute Missing Ratings?: Claims, Solution, and Its Application to Collaborative Filtering.
WWW
Youngnam Lee, Sang-Wook Kim, Sunju Park, Xing Xie
2018 J jnl
Image Inspired Poetry Generation in XiaoIce.
CoRR
Wen-Feng Cheng, Chao-Chung Wu, Ruihua Song, Jianlong Fu, Xing Xie, Jian-Yun Nie
2018 — conf
Knowledge-Based Recommendation with Hierarchical Collaborative Embedding.
PAKDD (2)
Zili Zhou, Shaowu Liu, Guandong Xu, Xing Xie, Jun Yin, Yidong Li, Wu Zhang
2018 — conf
MOBA-Slice: A Time Slice Based Evaluation Framework of Relative Advantage Between Teams in MOBA Games.
CGW@IJCAI
Lijun Yu, Dawei Zhang, Xiangqun Chen, Xing Xie
2018 — conf
Neural Chinese Word Segmentation with Dictionary Knowledge.
NLPCC (2)
Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2018 J jnl
Neural Chinese Word Segmentation with Dictionary Knowledge.
CoRR
Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2018 A* conf
Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision.
ICDM
Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie
2018 — conf
Overview of the NLPCC 2018 Shared Task: Social Media User Modeling.
NLPCC (2)
Fuzheng Zhang, Xing Xie
2018 A* conf
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data.
IJCAI
Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen
2018 J jnl
Product Adoption Rate Prediction in a Competitive Market.
IEEE Trans. Knowl. Data Eng.
Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang
2018 J jnl
Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems.
CoRR
Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo
2018 A conf
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems.
CIKM
Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo
2018 A conf
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.
WSDM
Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu
2018 J jnl
Scalable Content-Aware Collaborative Filtering for Location Recommendation.
IEEE Trans. Knowl. Data Eng.
Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui
2018 A* conf
Sequential Recommender System based on Hierarchical Attention Networks.
IJCAI
Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu
2018 J jnl
Session-based Recommendation with Graph Neural Networks.
CoRR
Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan
2018 — conf
Spatial-Aware Deep Recommender System.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Steven Mudda, Defu Lian, Silvia Giordano, Danyang Liu, Xing Xie
2018 A* conf
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach.
IJCAI
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
2018 A* conf
Transcribing Content from Structural Images with Spotlight Mechanism.
KDD
Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu
2018 — conf
Tweet Emoji Prediction Using Hierarchical Model with Attention.
UbiComp/ISWC Adjunct
Chuhan Wu, Fangzhao Wu, Sixing Wu, Yongfeng Huang, Xing Xie
2018 A conf
WSDM Cup 2018: Music Recommendation and Churn Prediction.
WSDM
Yian Chen, Xing Xie, Shou-De Lin, Arden Chiu
2018 — conf
Why You Should Listen to This Song: Reason Generation for Explainable Recommendation.
ICDM Workshops
Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Xing Xie, Xueming Qian
2018 A* conf
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems.
KDD
Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
2018 J jnl
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems.
CoRR
Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
2017 C conf
A Multifaceted Model for Cross Domain Recommendation Systems.
KSEM
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
2017 A conf
A World of Difference: Divergent Word Interpretations Among People.
ICWSM
Tianran Hu, Ruihua Song, Maya Abtahian, Philip Ding, Xing Xie, Jiebo Luo
2017 J jnl
A World of Difference: Divergent Word Interpretations among People.
CoRR
Tianran Hu, Ruihua Song, Maya Abtahian, Philip Ding, Xing Xie, Jiebo Luo
2017 — conf
An Early Event Detection Technique with Bus GPS Data.
SIGSPATIAL/GIS
Shunsuke Aoki, Kaoru Sezaki, Nicholas Jing Yuan, Xing Xie
2017 A* conf
App Download Forecasting: An Evolutionary Hierarchical Competition Approach.
IJCAI
Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Chuan Qin, Xing Xie
2017 A conf
Beyond the Words: Predicting User Personality from Heterogeneous Information.
WSDM
Honghao Wei, Fuzheng Zhang, Nicholas Jing Yuan, Chuan Cao, Hao Fu, Xing Xie, Yong Rui, Wei-Ying Ma
2017 — conf
CCCFNet: A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems.
WWW (Companion Volume)
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
2017 J jnl
Collaborative Intent Prediction with Real-Time Contextual Data.
ACM Trans. Inf. Syst.
Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang
2017 J jnl
DeepMob: Learning Deep Knowledge of Human Emergency Behavior and Mobility from Big and Heterogeneous Data.
ACM Trans. Inf. Syst.
Xuan Song, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie, Tao Li, Ryutaro Adachi
2017 A* conf
Discrete Content-aware Matrix Factorization.
KDD
Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao
2017 J jnl
GraphGAN: Graph Representation Learning with Generative Adversarial Nets.
CoRR
Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo
2017 — conf
Microsoft Research Asia at the NTCIR-13 STC-2 Task.
NTCIR
Zhongxia Chen, Hongyan Huang, Dinglong Li, Ruihua Song, Xing Xie
2017 J jnl
Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data.
CoRR
Tianran Hu, Ruihua Song, Yingzi Wang, Xing Xie, Jiebo Luo
2017 J jnl
Mobile Social Multimedia Analytics in the Big Data Era: An Introduction to the Special Issue.
ACM Trans. Intell. Syst. Technol.
Rongrong Ji, Wei Liu, Xing Xie, Yiqiang Chen, Jiebo Luo
2017 J jnl
Network Motif Discovery: A GPU Approach.
IEEE Trans. Knowl. Data Eng.
Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li
2017 — conf
Overview of the NLPCC-ICCPOL 2017 Shared Task: Social Media User Modeling.
NLPCC
Fuzheng Zhang, Defu Lian, Xing Xie
2017 J jnl
Prediction and Simulation of Human Mobility Following Natural Disasters.
ACM Trans. Intell. Syst. Technol.
Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie
2017 A conf
Representation Learning with Pair-wise Constraints for Collaborative Ranking.
WSDM
Fuzhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, Qing He
2017 J jnl
Representation learning via Dual-Autoencoder for recommendation.
Neural Networks
Fuzhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He
2017 — conf
Restaurant Survival Analysis with Heterogeneous Information.
WWW (Companion Volume)
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
2017 J jnl
Robust Spammer Detection in Microblogs: Leveraging User Carefulness.
ACM Trans. Intell. Syst. Technol.
Hao Fu, Xing Xie, Yong Rui, Neil Zhenqiang Gong, Guangzhong Sun, Enhong Chen
2017 J jnl
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.
CoRR
Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu
2017 J jnl
Search by Screenshots for Universal Article Clipping in Mobile Apps.
ACM Trans. Inf. Syst.
Kazutoshi Umemoto, Ruihua Song, Jian-Yun Nie, Xing Xie, Katsumi Tanaka, Yong Rui
2017 — conf
Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation.
WWW (Companion Volume)
Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He
2017 — ed.
Social Media Processing - 6th National Conference, SMP 2017, Beijing, China, September 14-17, 2017, Proceedings
SMP
Xueqi Cheng, Wei-Ying Ma, Huan Liu, Huawei Shen, Shizheng Feng, Xing Xie
2017 J jnl
TaskMe: Toward a dynamic and quality-enhanced incentive mechanism for mobile crowd sensing.
Int. J. Hum. Comput. Stud.
Bin Guo, Huihui Chen, Zhiwen Yu, Wenqian Nan, Xing Xie, Daqing Zhang, Xingshe Zhou
2017 A* conf
Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory.
IJCAI
Chenyi Zhuang, Nicholas Jing Yuan, Ruihua Song, Xing Xie, Qiang Ma
2016 Misc conf
A contextual collaborative approach for app usage forecasting.
UbiComp
Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Fuzheng Zhang, Xing Xie, Qi Liu, Enhong Chen
2016 A* conf
Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains.
ICDM
Linli Xu, Zaiyi Chen, Qi Zhou, Enhong Chen, Nicholas Jing Yuan, Xing Xie
2016 A* conf
Collaborative Knowledge Base Embedding for Recommender Systems.
KDD
Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma
2016 A* conf
Collaborative Nowcasting for Contextual Recommendation.
WWW
Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang
2016 A* conf
Contextual Intent Tracking for Personal Assistants.
KDD
Yu Sun, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Kieran McDonald, Rui Zhang
2016 J jnl
Cross-Device User Matching Based on Massive Browse Logs: The Runner-Up Solution for the 2016 CIKM Cup.
CoRR
Jianxun Lian, Xing Xie
2016 J jnl
Dummy-Based User Location Anonymization Under Real-World Constraints.
IEEE Access
Takahiro Hara, Akiyoshi Suzuki, Mayu Iwata, Yuki Arase, Xing Xie
2016 A* conf
Exploiting Dining Preference for Restaurant Recommendation.
WWW
Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui
2016 Misc conf
Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model.
ICTIR
Shoaib Jameel, Yi Liao, Wai Lam, Steven Schockaert, Xing Xie
2016 A* conf
Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds.
AAAI
Meng Jiang, Peng Cui, Nicholas Jing Yuan, Xing Xie, Shiqiang Yang
2016 — conf
Microsoft Research Asia at NTCIR-12 STC Task.
NTCIR
Zhongxia Chen, Ruihua Song, Xing Xie
2016 A conf
Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data.
CIKM
Tianran Hu, Ruihua Song, Yingzi Wang, Xing Xie, Jiebo Luo
2016 A* conf
Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation.
ICDM
Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong
2016 J jnl
PicPick: a generic data selection framework for mobile crowd photography.
Pers. Ubiquitous Comput.
Bin Guo, Huihui Chen, Zhiwen Yu, Xing Xie, Daqing Zhang
2016 J jnl
Predicting Social Status via Social Networks: A Case Study on University, Occupation, and Region.
CoRR
Hao Fu, Xing Xie, Yong Rui, Defu Lian, Guangzhong Sun, Enhong Chen
2016 — conf
PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions.
SIGMOD Conference
Jun Zhang, Xiaokui Xiao, Xing Xie
2016 J jnl
PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions.
CoRR
Jun Zhang, Xiaokui Xiao, Xing Xie
2016 A* conf
Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation.
ICDM
Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie
2016 J jnl
Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations.
ACM Trans. Intell. Syst. Technol.
Le Wu, Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie
2016 A* conf
Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback.
IJCAI
Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie, Hui Xiong
2016 J jnl
UniClip: Leveraging Web Search for Universal Clipping of Articles on Mobile.
Data Sci. Eng.
Ruihua Song, Kazutoshi Umemoto, Jian-Yun Nie, Xing Xie, Katsumi Tanaka, Yong Rui
2016 J jnl
User-Service Rating Prediction by Exploring Social Users' Rating Behaviors.
IEEE Trans. Multim.
Guoshuai Zhao, Xueming Qian, Xing Xie
2016 — conf
What Is My Next Job: Predicting the Company Size and Position in Career Changes.
Trustcom/BigDataSE/ISPA
Hongyang Qu, Zhiwen Yu, Zhiyong Yu, Huang Xu, Bin Guo, Xing Xie
2016 Misc conf
Who Wants to Join Me?: Companion Recommendation in Location Based Social Networks.
ICTIR
Yi Liao, Wai Lam, Shoaib Jameel, Steven Schockaert, Xing Xie
2016 A conf
Who Will Reply to/Retweet This Tweet?: The Dynamics of Intimacy from Online Social Interactions.
WSDM
Nicholas Jing Yuan, Yuan Zhong, Fuzheng Zhang, Xing Xie, Chin-Yew Lin, Yong Rui
2015 A* conf
A Novelty-Seeking based Dining Recommender System.
WWW
Fuzheng Zhang, Kai Zheng, Nicholas Jing Yuan, Xing Xie, Enhong Chen, Xiaofang Zhou
2015 A* conf
A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data.
AAAI
Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie
2015 — conf
Abstract Venue Concept Detection from Location-Based Social Networks.
AIRS
Yi Liao, Shoaib Jameel, Wai Lam, Xing Xie
2015 J jnl
An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs.
Proc. VLDB Endow.
Yingxia Shao, Bin Cui, Lei Chen, Mingming Liu, Xing Xie
2015 A* conf
Approximate keyword search in semantic trajectory database.
ICDE
Bolong Zheng, Nicholas Jing Yuan, Kai Zheng, Xing Xie, Shazia Sadiq, Xiaofang Zhou
2015 A* conf
Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data.
ICDM
Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui
2015 A* conf
Content-Based Collaborative Filtering for News Topic Recommendation.
AAAI
Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
2015 J jnl
Discovering Urban Functional ZonesUsing Latent Activity Trajectories.
IEEE Trans. Knowl. Data Eng.
Nicholas Jing Yuan, Yu Zheng, Xing Xie, Yingzi Wang, Kai Zheng, Hui Xiong
2015 J jnl
Effective Social Graph Deanonymization Based on Graph Structure and Descriptive Information.
ACM Trans. Intell. Syst. Technol.
Hao Fu, Aston Zhang, Xing Xie
2015 J jnl
FlierMeet: A Mobile Crowdsensing System for Cross-Space Public Information Reposting, Tagging, and Sharing.
IEEE Trans. Mob. Comput.
Bin Guo, Huihui Chen, Zhiwen Yu, Xing Xie, Shenlong Huangfu, Daqing Zhang
2015 J jnl
Guest Editorial Special Issue on Mobile Crowd Sensing for IoT.
IEEE Internet Things J.
Bin Guo, Shusen Yang, Janne Lindqvist, Xing Xie, Raghu K. Ganti
2015 J jnl
Highlights from ACM SIGSPATIAL China chapter in 2014.
ACM SIGSPATIAL Special
Guangzhong Sun, Yang Yue, Xing Xie
2015 — conf
Leveraging Careful Microblog Users for Spammer Detection.
WWW (Companion Volume)
Hao Fu, Xing Xie, Yong Rui
2015 — conf
Lifting the Predictability of Human Mobility on Activity Trajectories.
ICDM Workshops
Xianming Li, Defu Lian, Xing Xie, Guangzhong Sun
2015 A* conf
Mining Indecisiveness in Customer Behaviors.
ICDM
Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie
2015 J jnl
Mining Location-based Social Networks: A Predictive Perspective.
IEEE Data Eng. Bull.
Defu Lian, Xing Xie, Fuzheng Zhang, Nicholas Jing Yuan, Tao Zhou, Yong Rui
2015 Misc conf
Mining consumer impulsivity from offline and online behavior.
UbiComp
Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui
2015 A* conf
Mobile Query Recommendation via Tensor Function Learning.
IJCAI
Zhou Zhao, Ruihua Song, Xing Xie, Xiaofei He, Yueting Zhuang
2015 A* conf
Network motif discovery: A GPU approach.
ICDE
Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li
2015 — conf
Predicting Smartphone Adoption in Social Networks.
PAKDD (1)
Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, Xing Xie, Yong Rui
2015 A conf
Product Adoption Rate Prediction: A Multi-factor View.
SDM
Le Wu, Qi Liu, Enhong Chen, Xing Xie, Chang Tan
2015 J jnl
Reconstructing individual mobility from smart card transactions: a collaborative space alignment approach.
Knowl. Inf. Syst.
Fuzheng Zhang, Nicholas Jing Yuan, Yingzi Wang, Xing Xie
2015 A* conf
Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data.
KDD
Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui
2015 J jnl
Sensing the Pulse of Urban Refueling Behavior: A Perspective from Taxi Mobility.
ACM Trans. Intell. Syst. Technol.
Fuzheng Zhang, Nicholas Jing Yuan, David Wilkie, Yu Zheng, Xing Xie
2015 J jnl
Solving the data sparsity problem in destination prediction.
VLDB J.
Andy Yuan Xue, Jianzhong Qi, Xing Xie, Rui Zhang, Jin Huang, Yuan Li
2015 — conf
TaskMe: a cross-community, quality-enhanced incentive mechanism for mobile crowd sensing.
UbiComp/ISWC Adjunct
Bin Guo, Wenqian Nan, Zhiwen Yu, Xing Xie, Huihui Chen, Xingshe Zhou
2015 J jnl
When Location Meets Social Multimedia: A Survey on Vision-Based Recognition and Mining for Geo-Social Multimedia Analytics.
ACM Trans. Intell. Syst. Technol.
Rongrong Ji, Yue Gao, Wei Liu, Xing Xie, Qi Tian, Xuelong Li
2015 A conf
You Are Where You Go: Inferring Demographic Attributes from Location Check-ins.
WSDM
Yuan Zhong, Nicholas Jing Yuan, Wen Zhong, Fuzheng Zhang, Xing Xie
2014 J jnl
Adaptive content recommendation for mobile users: Ordering recommendations using a hierarchical context model with granularity.
Pervasive Mob. Comput.
Jonghyun Han, Hedda Rahel Schmidtke, Xing Xie, Woontack Woo
2014 — conf
Analyzing Location Predictability on Location-Based Social Networks.
PAKDD (1)
Defu Lian, Yin Zhu, Xing Xie, Enhong Chen
2014 — conf
De-anonymizing social graphs via node similarity.
WWW (Companion Volume)
Hao Fu, Aston Zhang, Xing Xie
2014 — conf
FlierMeet: cross-space public information reposting with mobile crowd sensing.
UbiComp Adjunct
Bin Guo, Xing Xie, Huihui Chen, Shenlong Huangfu, Zhiwen Yu, Zhu Wang
2014 A* conf
GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation.
KDD
Defu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen, Yong Rui
2014 J jnl
Indigenization of Urban Mobility.
CoRR
Zimo Yang, Defu Lian, Nicholas Jing Yuan, Xing Xie, Yong Rui, Tao Zhou
2014 J jnl
Inferring social ties between users with human location history.
J. Ambient Intell. Humaniz. Comput.
Xiangye Xiao, Yu Zheng, Qiong Luo, Xing Xie
2014 J jnl
Investigating How User's Activities in Both Virtual and Physical World Impact Each Other Leveraging LBSN Data.
Int. J. Distributed Sens. Networks
Zhiwen Yu, Yue Yang, Xingshe Zhou, Yu Zheng, Xing Xie
2014 — conf
Location anonymization using real car trace data for location based services.
ICUIMC
Takahiro Hara, Yuki Arase, Ayana Yamamoto, Xing Xie, Mayu Iwata, Shojiro Nishio
2014 J jnl
Mining Check-In History for Personalized Location Naming.
ACM Trans. Intell. Syst. Technol.
Defu Lian, Xing Xie
2014 A* conf
Mining novelty-seeking trait across heterogeneous domains.
WWW
Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie
2014 B conf
Privacy Risk in Anonymized Heterogeneous Information Networks.
EDBT
Aston Zhang, Xing Xie, Kevin Chen-Chuan Chang, Carl A. Gunter, Jiawei Han, Xiaofeng Wang
2014 A* conf
Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective.
ICDM
Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen, Hui Xiong
2013 — conf
Collaborative filtering meets next check-in location prediction.
WWW (Companion Volume)
Defu Lian, Vincent Wenchen Zheng, Xing Xie
2013 J jnl
Context-based microblog browsing for mobile users.
J. Ambient Intell. Smart Environ.
Jonghyun Han, Xing Xie, Woontack Woo
2013 J jnl
DesTeller: A System for Destination Prediction Based on Trajectories with Privacy Protection.
Proc. VLDB Endow.
Andy Yuan Xue, Rui Zhang, Yu Zheng, Xing Xie, Jianhui Yu, Yong Tang
2013 A* conf
Destination prediction by sub-trajectory synthesis and privacy protection against such prediction.
ICDE
Andy Yuan Xue, Rui Zhang, Yu Zheng, Xing Xie, Jin Huang, Zhenghua Xu
2013 A* conf
Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach.
ICDM
Nicholas Jing Yuan, Yingzi Wang, Fuzheng Zhang, Xing Xie, Guangzhong Sun
2013 Misc conf
Sensing the pulse of urban refueling behavior.
UbiComp
Fuzheng Zhang, David Wilkie, Yu Zheng, Xing Xie
2013 J jnl
T-Drive: Enhancing Driving Directions with Taxi Drivers' Intelligence.
IEEE Trans. Knowl. Data Eng.
Jing Yuan, Yu Zheng, Xing Xie, Guangzhong Sun
2013 J jnl
T-Finder: A Recommender System for Finding Passengers and Vacant Taxis.
IEEE Trans. Knowl. Data Eng.
Nicholas Jing Yuan, Yu Zheng, Liuhang Zhang, Xing Xie
2013 — conf
User Location Anonymization Method for Wide Distribution of Dummies.
DEXA (2)
Ryo Kato, Mayu Iwata, Takahiro Hara, Yuki Arase, Xing Xie, Shojiro Nishio
2013 — conf
We know how you live: exploring the spectrum of urban lifestyles.
COSN
Nicholas Jing Yuan, Fuzheng Zhang, Defu Lian, Kai Zheng, Siyu Yu, Xing Xie
2012 — conf
A dummy-based anonymization method based on user trajectory with pauses.
SIGSPATIAL/GIS
Ryo Kato, Mayu Iwata, Takahiro Hara, Akiyoshi Suzuki, Xing Xie, Yuki Arase, Shojiro Nishio
2012 A* conf
Discovering regions of different functions in a city using human mobility and POIs.
KDD
Jing Yuan, Yu Zheng, Xing Xie
2012 J jnl
Highlights from ACM SIGSPATIAL China Chapter in 2011.
ACM SIGSPATIAL Special
Xing Xie
2012 J jnl
Inferring Taxi Status Using GPS Trajectories
CoRR
Yin Zhu, Yu Zheng, Liuhang Zhang, Darshan Santani, Xing Xie, Qiang Yang
2012 A* conf
Reducing Uncertainty of Low-Sampling-Rate Trajectories.
ICDE
Kai Zheng, Yu Zheng, Xing Xie, Xiaofang Zhou
2012 J jnl
Social itinerary recommendation from user-generated digital trails.
Pers. Ubiquitous Comput.
Hyoseok Yoon, Yu Zheng, Xing Xie, Woontack Woo
2012 J jnl
Towards mobile intelligence: Learning from GPS history data for collaborative recommendation.
Artif. Intell.
Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Yang
2012 J jnl
Towards the taxonomy-oriented categorization of yellow pages queries.
ACM Trans. Internet Techn.
Zhisheng Li, Xiangye Xiao, Meng Wang, Chong Wang, Xufa Wang, Xing Xie
2011 J jnl
A conversation with MSRA researchers.
SIGKDD Explor.
Wei-Ying Ma, Tie-Yan Liu, Ji-Rong Wen, Zheng Chen, Zaiqing Nie, Xing Xie, Hang Li, Haixun Wang, Yu Zheng
2011 — conf
A greener transportation mode: flexible routes discovery from GPS trajectory data.
GIS
Favyen Bastani, Xing Xie, Yan Huang, Jason W. Powell
2011 C conf
Build Intelligence from the Physical World.
W2GIS
Xing Xie
2011 — conf
Collaborative activity recognition via check-in history.
GIS-LBSN
Defu Lian, Xing Xie
2011 A* conf
Discovering spatio-temporal causal interactions in traffic data streams.
KDD
Wei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan, Xing Xie
2011 A* conf
Driving with knowledge from the physical world.
KDD
Jing Yuan, Yu Zheng, Xing Xie, Guangzhong Sun
2011 C conf
Interactive social, spatial and temporal querying for multimedia retrieval.
CBMI
Gamhewage C. de Silva, Kiyoharu Aizawa, Yuki Arase, Xing Xie
2011 J jnl
LBSN 2010 workshop report: The Second ACM SIGSPATIAL International Workshop on Location Based Social Networks (San Jose, California - November 2, 2010).
ACM SIGSPATIAL Special
Xing Xie, Wen-Chih Peng
2011 — conf
Learning location naming from user check-in histories.
GIS
Defu Lian, Xing Xie
2011 J jnl
Learning travel recommendations from user-generated GPS traces.
ACM Trans. Intell. Syst. Technol.
Yu Zheng, Xing Xie
2011 — conf
Location relevance classification for travelogue digests.
WWW (Companion Volume)
Mao Ye, Rong Xiao, Wang-Chien Lee, Xing Xie
2011 — ch.
Location-Based Social Networks: Locations.
Computing with Spatial Trajectories
Yu Zheng, Xing Xie
2011 A* conf
On theme location discovery for travelogue services.
SIGIR
Mao Ye, Rong Xiao, Wang-Chien Lee, Xing Xie
2011 J jnl
Recommending friends and locations based on individual location history.
ACM Trans. Web
Yu Zheng, Lizhu Zhang, Zhengxin Ma, Xing Xie, Wei-Ying Ma
2011 B conf
Retrieving k-Nearest Neighboring Trajectories by a Set of Point Locations.
SSTD
Lu-An Tang, Yu Zheng, Xing Xie, Jing Yuan, Xiao Yu, Jiawei Han
2011 J jnl
SIGSPATIAL China 2010 activity report.
ACM SIGSPATIAL Special
Xing Xie
2011 Misc conf
TDMA'11 workshop overview.
UbiComp
Feng Lu, Xing Xie, Shih-Lung Shaw
2011 Misc ed.
UbiComp 2011: Ubiquitous Computing, 13th International Conference, UbiComp 2011, Beijing, China, September 17-21, 2011, Proceedings
UbiComp
James A. Landay, Yuanchun Shi, Donald J. Patterson, Yvonne Rogers, Xing Xie
2011 Misc conf
Urban computing with taxicabs.
UbiComp
Yu Zheng, Yanchi Liu, Jing Yuan, Xing Xie
2011 J jnl
Vocabulary Hierarchy Optimization and Transfer for Scalable Image Search.
IEEE Multim.
Rongrong Ji, Hongxun Yao, Xing Xie, Qi Tian
2011 Misc conf
Where to find my next passenger.
UbiComp
Jing Yuan, Yu Zheng, Liuhang Zhang, Xing Xie, Guangzhong Sun
2010 J jnl
A large-scale study on map search logs.
ACM Trans. Web
Xiangye Xiao, Qiong Luo, Zhisheng Li, Xing Xie, Wei-Ying Ma
2010 — conf
A user location anonymization method for location based services in a real environment.
GIS
Akiyoshi Suzuki, Mayu Iwata, Yuki Arase, Takahiro Hara, Xing Xie, Shojiro Nishio
2010 B conf
An Interactive-Voting Based Map Matching Algorithm.
Mobile Data Management
Jing Yuan, Yu Zheng, Chengyang Zhang, Xing Xie, Guangzhong Sun
2010 — conf
An efficient location extraction algorithm by leveraging web contextual information.
GIS
Teng Qin, Rong Xiao, Lei Fang, Xing Xie, Lei Zhang
2010 — conf
Answering Top-
DASFAA (1)
Chang Sheng, Yu Zheng, Wynne Hsu, Mong-Li Lee, Xing Xie
2010 A* conf
Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach.
AAAI
Vincent Wenchen Zheng, Bin Cao, Yu Zheng, Xing Xie, Qiang Yang
2010 A* conf
Collaborative location and activity recommendations with GPS history data.
WWW
Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Yang
2010 — conf
Detecting nearly duplicated records in location datasets.
GIS
Yu Zheng, Xixuan Fen, Xing Xie, Shuang Peng, James Fu
2010 — conf
Drive Smartly as a Taxi Driver.
UIC/ATC Workshops
Yu Zheng, Jing Yuan, Wenlei Xie, Xing Xie, Guangzhong Sun
2010 J jnl
Estimating Mobile-Friendliness Scores of Web Pages.
IEICE Trans. Inf. Syst.
Jihwan Song, Xing Xie, Yoon-Joon Lee, Ji-Rong Wen
2010 — conf
Finding similar users using category-based location history.
GIS
Xiangye Xiao, Yu Zheng, Qiong Luo, Xing Xie
2010 J jnl
GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory.
IEEE Data Eng. Bull.
Yu Zheng, Xing Xie, Wei-Ying Ma
2010 J jnl
Introduction to Mobile Information Retrieval.
IEEE Intell. Syst.
Flora S. Tsai, Minoru Etoh, Xing Xie, Wang-Chien Lee, Qiang Yang
2010 J jnl
LBSN 2009 Workshop Report: International Workshop on Location Based Social Networks (Seattle, Washington - November 3, 2009).
ACM SIGSPATIAL Special
Xing Xie
2010 B conf
Learning Location Correlation from GPS Trajectories.
Mobile Data Management
Yu Zheng, Xing Xie
2010 A* conf
Mining people's trips from large scale geo-tagged photos.
ACM Multimedia
Yuki Arase, Xing Xie, Takahiro Hara, Shojiro Nishio
2010 — conf
Potential Friend Recommendation in Online Social Network.
GreenCom/CPSCom
Xing Xie
2010 — ed.
Proceedings of the 2010 International Workshop on Location Based Social Networks, LBSN 2010, November 2, 2010, San Jose, CA, USA, Proceedings
GIS-LBSN
Xiaofang Zhou, Wang-Chien Lee, Wen-Chih Peng, Xing Xie
2010 B conf
Protecting Privacy in Location-Based Services Using K-Anonymity without Cloaked Region.
Mobile Data Management
Neil Zhenqiang Gong, Guangzhong Sun, Xing Xie
2010 — conf
Searching trajectories by locations: an efficiency study.
SIGMOD Conference
Zaiben Chen, Heng Tao Shen, Xiaofang Zhou, Yu Zheng, Xing Xie
2010 C conf
Smart Itinerary Recommendation Based on User-Generated GPS Trajectories.
UIC
Hyoseok Yoon, Yu Zheng, Xing Xie, Woontack Woo
2010 — conf
T-drive: driving directions based on taxi trajectories.
GIS
Jing Yuan, Yu Zheng, Chengyang Zhang, Wenlei Xie, Xing Xie, Guangzhong Sun, Yan Huang
2010 J jnl
Understanding transportation modes based on GPS data for web applications.
ACM Trans. Web
Yu Zheng, Yukun Chen, Quannan Li, Xing Xie, Wei-Ying Ma
2010 — conf
User activity understanding from mobile phone sensors.
UbiComp (Adjunct Papers)
Yuki Arase, Fei Ren, Xing Xie
2010 J jnl
Welcome to SIGSPATIAL China.
ACM SIGSPATIAL Special
Xing Xie
2009 — conf
A Remote Sensing Image Segmentation Method Based on Spectral and Texture Information Fusion.
ITNG
Xing Xie, Mengliang Liu, Leiguang Wang, Qianqin Qin
2009 A* conf
A game based approach to assign geographical relevance to web images.
WWW
Yuki Arase, Xing Xie, Manni Duan, Takahiro Hara, Shojiro Nishio
2009 A conf
An online advertisement platform based on image content bidding.
ICME
Wei Jiang, Dechao Liu, Xing Xie, Matthew R. Scott, Jonathan Tien, Dong Xiang
2009 J jnl
Browsing on small displays by transforming Web pages into hierarchically structured subpages.
ACM Trans. Web
Xiangye Xiao, Qiong Luo, Dan Hong, Hongbo Fu, Xing Xie, Wei-Ying Ma
2009 J jnl
Coherent Phrase Model for Efficient Image Near-Duplicate Retrieval.
IEEE Trans. Multim.
Yiqun Hu, Xiangang Cheng, Liang-Tien Chia, Xing Xie, Deepu Rajan, Ah-Hwee Tan
2009 B conf
GeoLife2.0: A Location-Based Social Networking Service.
Mobile Data Management
Yu Zheng, Yukun Chen, Xing Xie, Wei-Ying Ma
2009 A* conf
Location sensitive indexing for image-based advertising.
ACM Multimedia
Dechao Liu, Matthew R. Scott, Rongrong Ji, Wei Jiang, Hongxun Yao, Xing Xie
2009 — conf
Map-matching for low-sampling-rate GPS trajectories.
GIS
Yin Lou, Chengyang Zhang, Yu Zheng, Xing Xie, Wei Wang, Yan Huang
2009 B conf
Mining Individual Life Pattern Based on Location History.
Mobile Data Management
Yang Ye, Yu Zheng, Yukun Chen, Jianhua Feng, Xing Xie
2009 A* conf
Mining city landmarks from blogs by graph modeling.
ACM Multimedia
Rongrong Ji, Xing Xie, Hongxun Yao, Wei-Ying Ma
2009 — conf
Mining correlation between locations using human location history.
GIS
Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma
2009 A* conf
Mining interesting locations and travel sequences from GPS trajectories.
WWW
Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma
2009 — ed.
Proceedings of the 2009 International Workshop on Location Based Social Networks, LBSN 2009, November 3, 2009, Seattle, Washington, USA, Proceedings
GIS-LBSN
Xiaofang Zhou, Xing Xie
2009 A conf
Visiads: A vision-based advertising platform for camera phones.
ICME
Matthew R. Scott, Wei Jiang, Xing Xie, Jonathan Tien, Gang Chen, Dong Xiang
2009 A* conf
Vocabulary hierarchy optimization for effective and transferable retrieval.
CVPR
Rongrong Ji, Xing Xie, Hongxun Yao, Wei-Ying Ma
2008 B conf
A Flexible Spatio-Temporal Indexing Scheme for Large-Scale GPS Track Retrieval.
MDM
Longhao Wang, Yu Zheng, Xing Xie, Wei-Ying Ma
2008 — conf
Density based co-location pattern discovery.
GIS
Xiangye Xiao, Xing Xie, Qiong Luo, Wei-Ying Ma
2008 — conf
Discovering co-located queries in geographic search logs.
LocWeb
Xiangye Xiao, Longhao Wang, Xing Xie, Qiong Luo
2008 B conf
GeoLife: Managing and Understanding Your Past Life over Maps.
MDM
Yu Zheng, Longhao Wang, Ruochi Zhang, Xing Xie, Wei-Ying Ma
2008 A* conf
Learning transportation mode from raw gps data for geographic applications on the web.
WWW
Yu Zheng, Like Liu, Longhao Wang, Xing Xie
2008 — conf
Mining user similarity based on location history.
GIS
Quannan Li, Yu Zheng, Xing Xie, Yukun Chen, Wenyu Liu, Wei-Ying Ma
2008 J jnl
Mobile Search With Multimodal Queries.
Proc. IEEE
Xing Xie, Lie Lu, Menglei Jia, Hua Li, Frank Seide, Wei-Ying Ma
2008 A conf
Spatial pyramid mining for logo detection in natural scenes.
ICME
Jim Kleban, Xing Xie, Wei-Ying Ma
2008 — conf
Understanding User Behavior Geospatially.
Contextual and Social Media Understanding and Usage
Xing Xie
2008 Misc conf
Understanding mobility based on GPS data.
UbiComp
Yu Zheng, Quannan Li, Yukun Chen, Xing Xie, Wei-Ying Ma
2008 A conf
Visual pattern weighting for near-duplicate image retrieval.
ICME
Manni Duan, Xing Xie, Xiuqing Wu, Wei-Ying Ma
2008 A conf
Vocabulary tree incremental indexing for scalable location recognition.
ICME
Rongrong Ji, Xing Xie, Hongxun Yao, Yongjian Wu, Wei-Ying Ma
2007 C conf
Computing Geographical Serving Area Based on Search Logs and Website Categorization.
DEXA
Qi Zhang, Xing Xie, Lee Wang, Lihua Yue, Wei-Ying Ma
2007 A conf
Distributed Architecture for Large Scale Image-Based Search.
ICME
Yu Zheng, Xing Xie, Wei-Ying Ma
2007 — conf
Exploring LDA-Based Document Model for Geographic Information Retrieval.
CLEF
Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma
2007 — conf
GeoCLEF 2007: The CLEF 2007 Cross-Language Geographic Information Retrieval Track Overview.
CLEF
Thomas Mandl, Fredric C. Gey, Giorgio Maria Di Nunzio, Nicola Ferro, Ray R. Larson, Mark Sanderson, Diana Santos, Christa Womser-Hacker, Xing Xie
2007 — conf
GeoCLEF 2007: the CLEF 2007 Cross-Language Geographic Information Retrieval Track Overview.
CLEF (Working Notes)
Thomas Mandl, Fredric C. Gey, Giorgio Maria Di Nunzio, Nicola Ferro, Ray R. Larson, Mark Sanderson, Diana Santos, Christa Womser-Hacker, Xing Xie
2007 — conf
MSRA Columbus at GeoCLEF2007.
CLEF (Working Notes)
Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma
2007 — conf
Mining geographic knowledge using location aware topic model.
GIR
Chong Wang, Jinggang Wang, Xing Xie, Wei-Ying Ma
2007 — conf
Query Parsing Task for GeoCLEF2007 Report.
CLEF (Working Notes)
Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma
2007 — conf
Searching One Billion Web Images by Content: Challenges and Opportunities.
MCAM
Zhiwei Li, Xing Xie, Lei Zhang, Wei-Ying Ma
2006 A conf
A comparative study on classifying the functions of web page blocks.
CIKM
Xiangye Xiao, Qiong Luo, Xing Xie, Wei-Ying Ma
2006 J jnl
Browsing Large Pictures Under Limited Display Sizes.
IEEE Trans. Multim.
Xing Xie, Hao Liu, Wei-Ying Ma, HongJiang Zhang
2006 J jnl
Design and Performance Studies of an Adaptive Scheme for Serving Dynamic Web Content in a Mobile Computing Environment.
IEEE Trans. Mob. Comput.
Zhigang Hua, Xing Xie, Hao Liu, Hanqing Lu, Wei-Ying Ma
2006 — conf
Detecting Geographical Serving Area of Web Resources.
GIR
Qi Zhang, Xing Xie, Lee Wang, Lihua Yue, Wei-Ying Ma
2006 B conf
Detecting The Sufficient Display Resolution For Image Browsing.
MDM
Xin Fan, Xing Xie, Wei-Ying Ma
2006 — conf
Indexing implicit locations for geographical information retrieval.
GIR
Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma
2006 A conf
Inquiring of the Sights from the Web via Camera Mobiles.
ICME
Yinghua Zhou, Xin Fan, Xing Xie, Yuchang Gong, Wei-Ying Ma
2006 — conf
MSRA Columbus at GeoCLEF 2006.
CLEF (Working Notes)
Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma
2006 — conf
MSRA Columbus at GeoCLEF 2006.
CLEF
Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma
2006 B conf
Photo-to-Search: Using Camera Phones to Inquire of the Surrounding World.
MDM
Menglei Jia, Xin Fan, Xing Xie, Mingjing Li, Wei-Ying Ma
2005 — conf
AIRE: an ambient interactive and responsive environment for mobile image management.
Mobile HCI
Zhigang Hua, Xiang-Jun Wang, Xing Xie, Qingshan Liu, Hanqing Lu, Wei-Ying Ma
2005 B conf
ASAP: A Synchronous Approach for Photo Sharing across Multiple Devices.
MMM
Zhigang Hua, Xing Xie, Hanqing Lu, Wei-Ying Ma
2005 J jnl
Adapting Web Pages for Small-Screen Devices.
IEEE Internet Comput.
Yu Chen, Xing Xie, Wei-Ying Ma, HongJiang Zhang
2005 J jnl
An adaptive web page layout structure for small devices.
Multim. Syst.
Xing Xie, Chong Wang, Li-Qun Chen, Wei-Ying Ma
2005 A conf
Automatic Annotation of Location Information for WWW Images.
ICME
Zhigang Hua, Chuang Wang, Xing Xie, Hanqing Lu, Wei-Ying Ma
2005 A* conf
Detecting dominant locations from search queries.
SIGIR
Lee Wang, Chuang Wang, Xing Xie, Josh Forman, Yansheng Lu, Wei-Ying Ma, Ying Li
2005 — conf
Detecting geographic locations from web resources.
GIR
Chuang Wang, Xing Xie, Lee Wang, Yansheng Lu, Wei-Ying Ma
2005 A* conf
Efficient Browsing of Web Search Results on Mobile Devices Based on Block Importance Model.
PerCom
Xing Xie, Gengxin Miao, Ruihua Song, Ji-Rong Wen, Wei-Ying Ma
2005 A conf
Hybrid index structures for location-based web search.
CIKM
Yinghua Zhou, Xing Xie, Chuang Wang, Yuchang Gong, Wei-Ying Ma
2005 A* conf
Learning user interest for image browsing on small-form-factor devices.
CHI
Xing Xie, Hao Liu, Simon Goumaz, Wei-Ying Ma
2005 — conf
Photo-to-search: using multimodal queries to search the web from mobile devices.
Multimedia Information Retrieval
Xin Fan, Xing Xie, Zhiwei Li, Mingjing Li, Wei-Ying Ma
2005 — conf
Representing personal web information using a topic-oriented interface.
WWW (Special interest tracks and posters)
Zhigang Hua, Hao Liu, Xing Xie, Hanqing Lu, Wei-Ying Ma
2005 — conf
Web resource geographic location classification and detection.
WWW (Special interest tracks and posters)
Chuang Wang, Xing Xie, Lee Wang, Yansheng Lu, Wei-Ying Ma
2004 A conf
Attention model based progressive image transmission.
ICME
Yusuo Hu, Xing Xie, Zonghai Chen, Wei-Ying Ma
2004 — conf
Automatic Synchronized Browsing of Images Across Multiple Devices.
PCM (2)
Zhigang Hua, Xing Xie, Hanqing Lu, Wei-Ying Ma
2004 — conf
Clustering-Based Navigation of Image Search Results on Mobile Devices.
AIRS
Hao Liu, Xing Xie, Xiaoou Tang, Wei-Ying Ma
2004 A* conf
Collapse-to-zoom: viewing web pages on small screen devices by interactively removing irrelevant content.
UIST
Patrick Baudisch, Xing Xie, Chong Wang, Wei-Ying Ma
2004 — conf
Effective browsing of web image search results.
Multimedia Information Retrieval
Hao Liu, Xing Xie, Xiaoou Tang, Zhiwei Li, Wei-Ying Ma
2004 — conf
Improving Web Browsing on Small Devices Based on Table Classification.
PCM (2)
Chong Wang, Xing Xie, Wenyuan Wang, Wei-Ying Ma
2004 A* conf
Intuitive and effective interfaces for WWW image search engines.
ACM Multimedia
Zhiwei Li, Xing Xie, Hao Liu, Xiaoou Tang, Mingjing Li, Wei-Ying Ma
2004 A conf
Maximizing information throughput for multimedia browsing on small displays.
ICME
Xing Xie, Wei-Ying Ma, HongJiang Zhang
2004 — conf
P2P Resource Pool and Its Application to Optimize Wide-Area Application Level Multicasting.
ICPP Workshops
Zheng Zhang, Yu Chen, Shiding Lin, Bo-Ying Lu, Shuming Shi, Xing Xie, Chun Yuan
2004 — conf
Salient Region Detection Using Weighted Feature Maps Based on the Human Visual Attention Model.
PCM (2)
Yiqun Hu, Xing Xie, Wei-Ying Ma, Liang-Tien Chia, Deepu Rajan
2003 J jnl
A visual attention model for adapting images on small displays.
Multim. Syst.
Li-Qun Chen, Xing Xie, Xin Fan, Wei-Ying Ma, HongJiang Zhang, He-Qin Zhou
2003 A* conf
Automatic browsing of large pictures on mobile devices.
ACM Multimedia
Hao Liu, Xing Xie, Wei-Ying Ma, HongJiang Zhang
2003 — conf
DRESS: A Slicing Tree Based Web Page Representation for Various Display Sizes.
WWW (Posters)
Li-Qun Chen, Xing Xie, Wei-Ying Ma, HongJiang Zhang, He-Qin Zhou, Huanqing Feng
2003 B conf
Image Adaptation Based on Attention Model for Small-Form-Factor Device.
MMM
Li-Qun Chen, Xing Xie, Wei-Ying Ma, HongJiang Zhang, He-Qin Zhou
2003 A* conf
Looking into video frames on small displays.
ACM Multimedia
Xin Fan, Xing Xie, He-Qin Zhou, Wei-Ying Ma
2003 — conf
Media Companion: Delivering Content-oriented Web Services to Internet Media.
WWW (Posters)
Wei-Ying Ma, Xing Xie, Chun Yuan, Yu Chen, Zheng Zhang, HongJiang Zhang
2003 A* conf
MobiPicture: browsing pictures on mobile devices.
ACM Multimedia
Mingyu Wang, Xing Xie, Wei-Ying Ma, HongJiang Zhang
2003 A conf
Visual attention based image browsing on mobile devices.
ICME
Xin Fan, Xing Xie, Wei-Ying Ma, Hong-Jiang Zhang, He-Qin Zhou
2002 A* conf
Enabling personalization services on the edge.
ACM Multimedia
Xing Xie, Hua-Jun Zeng, Wei-Ying Ma