Xia Hu

404 papers A* 102A 50B 5Misc 2Journal 206Unranked 36
YearRankTypeTitle / Venue / Authors
2026 — conf
Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations.
EACL (Findings)
Zijie Liu, Xinyu Zhao, Jie Peng, Jinhao Duan, Zhuangdi Zhu, Qingyu Chen, Kaidi Xu, Xia Hu, Tianlong Chen
2026 — conf
FaithLM: Towards Faithful Explanations for Large Language Models.
EACL (Volume 1: Long Papers)
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Shaochen Zhong, Fan Yang, Andrew Wen, Mengnan Du, Xuanting Cai, Vladimir Braverman, Xia Hu
2025 J jnl
70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float.
CoRR
Tianyi Zhang, Yang Sui, Shaochen Zhong, Vipin Chaudhary, Xia Hu, Anshumali Shrivastava
2025 — conf
A Decoupled Multi-Agent Framework for Complex Text Style Transfer.
EMNLP (Findings)
Lingxi Zhang, Yu-Neng Chuang, Guanchu Wang, Ruixiang Tang, Xuanting Cai, Rajesh Shenoy, Xia Hu
2025 — conf
AD-LLM: Benchmarking Large Language Models for Anomaly Detection.
ACL (Findings)
Tiankai Yang, Yi Nian, Li Li, Ruiyao Xu, Yuangang Li, Jiaqi Li, Zhuo Xiao, Xiyang Hu, Ryan A. Rossi, Kaize Ding, Xia Hu, Yue Zhao
2025 J jnl
Advancing Table Understanding of Large Language Models via Feature Re-ordering.
SIGKDD Explor.
Guanchu Wang, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Junpeng Wang, Xiaoting Li, Mingzhi Hu, Chia-Yuan Chang, Xia Hu
2025 J jnl
AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models.
CoRR
Feng Luo, Yu-Neng Chuang, Guanchu Wang, Hoang Anh Duy Le, Shaochen Zhong, Hongyi Liu, Jiayi Yuan, Yang Sui, Vladimir Braverman, Vipin Chaudhary, Xia Hu
2025 — conf
Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration.
IJCNLP-AACL (long papers)
Songyuan Sui, Hongyi Liu, Serena Liu, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
2025 J jnl
Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration.
CoRR
Songyuan Sui, Hongyi Liu, Serena Liu, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
2025 — conf
DHP Benchmark: Are LLMs Good NLG Evaluators?
NAACL (Findings)
Yicheng Wang, Jiayi Yuan, Yu-Neng Chuang, Zhuoer Wang, Yingchi Liu, Mark Cusick, Param Kulkarni, Zhengping Ji, Yasser Ibrahim, Xia Hu
2025 J jnl
Dialogue is Better Than Monologue: Instructing Medical LLMs via Strategical Conversations.
CoRR
Zijie Liu, Xinyu Zhao, Jie Peng, Zhuangdi Zhu, Qingyu Chen, Xia Hu, Tianlong Chen
2025 J jnl
Efficient GNN Explanation via Learning Removal-based Attribution.
ACM Trans. Knowl. Discov. Data
Yao Rong, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci, Xia Hu
2025 J jnl
Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs.
ACM Trans. Knowl. Discov. Data
Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
2025 J jnl
FairAlloc: Learning Fair Organ Allocation Policy for Liver Transplant.
J. Heal. Informatics Res.
Sirui Ding, Daochen Zha, Kai Zhang, Luyao Chen, Xiaoqian Jiang, Xia Hu, Na Zou
2025 A* conf
Flexible Group Count Enables Hassle-Free Structured Pruning.
CVPR
Jiamu Zhang, Shaochen Zhong, Andrew Ye, Zirui Liu, Sebastian Zhao, Kaixiong Zhou, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu, Shuai Xu, Vipin Chaudhary
2025 J jnl
Give Me FP32 or Give Me Death? Challenges and Solutions for Reproducible Reasoning.
CoRR
Jiayi Yuan, Hao Li, Xinheng Ding, Wenya Xie, Yu-Jhe Li, Wentian Zhao, Kun Wan, Jing Shi, Xia Hu, Zirui Liu
2025 — conf
In-Progress: Structured Pruning in the Wild: Benchmarking Practical Robustness Under Real-World Corruptions.
SP (Workshops)
Jiamu Zhang, Shaochen Zhong, Hoang Anh Duy Le, Xia Hu
2025 J jnl
LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting.
SIGKDD Explor.
Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Songyuan Sui, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Alfredo Costilla-Reyes, Daochen Zha, Xia Hu
2025 A* conf
Learning to Route LLMs with Confidence Tokens.
ICML
Yu-Neng Chuang, Prathusha Kameswara Sarma, Parikshit Gopalan, John Boccio, Sara Bolouki, Xia Hu, Helen Zhou
2025 — conf
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.
EMNLP (Findings)
Hongyi Liu, Shaochen Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2025 A* conf
MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations.
ICLR
Shaochen (Henry) Zhong, Yifan Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, Shuai Xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Hu
2025 B ed.
Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2025, Yeshiva University Museum, New York, NY, USA, June 24-26, 2025
CHASE
Paul Russo, Honggang Wang, Zhi Wei, Xia Hu, Antonina Mitrofanova
2025 — conf
ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks.
ACL (Findings)
Jiamu Zhang, Jiayi Yuan, Andrew Wen, Hoang Anh Duy Le, Yu-Neng Chuang, Soo-Hyun Choi, Rui Chen, Xia Hu
2025 — conf
Self-Ensemble: Mitigating Confidence Distortion for Large Language Models.
EMNLP (Findings)
Zicheng Xu, Guanchu Wang, Guangyao Zheng, Yu-Neng Chuang, Alex Szalay, Xia Hu, Vladimir Braverman
2025 J jnl
Special Issue on Generative AI for Edge Computing.
IEEE Internet Comput.
Mi Zhang, Xia Hu
2025 J jnl
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.
Trans. Mach. Learn. Res.
Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Na Zou, Hanjie Chen, Xia Hu
2025 J jnl
The Science of Evaluating Foundation Models.
CoRR
Jiayi Yuan, Jiamu Zhang, Andrew Wen, Xia Hu
2025 A* conf
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model.
CVPR
Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Chendi Li, Jinghua Yan, Yu Bai, Ponnuswamy Sadayappan, Xia Hu, Bo Yuan
2025 J jnl
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model.
CoRR
Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Chendi Li, Jinghua Yan, Yu Bai, Ponnuswamy Sadayappan, Xia Hu, Bo Yuan
2025 J jnl
Training-Free Time Series Classification via In-Context Reasoning with LLM Agents.
CoRR
Songyuan Sui, Zihang Xu, Yu-Neng Chuang, Kwei-Herng Lai, Xia Hu
2025 — conf
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time.
CPAL
Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Hu
2024 J jnl
Assessing and Enhancing Large Language Models in Rare Disease Question-answering.
CoRR
Guanchu Wang, Junhao Ran, Ruixiang Tang, Chia-Yuan Chang, Yu-Neng Chuang, Zirui Liu, Vladimir Braverman, Zhandong Liu, Xia Hu
2024 A* conf
Chasing Fairness in Graphs: A GNN Architecture Perspective.
AAAI
Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
2024 J jnl
Collaborative Graph Neural Networks for Attributed Network Embedding.
IEEE Trans. Knowl. Data Eng.
Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
2024 J jnl
DHP Benchmark: Are LLMs Good NLG Evaluators?
CoRR
Yicheng Wang, Jiayi Yuan, Yu-Neng Chuang, Zhuoer Wang, Yingchi Liu, Mark Cusick, Param Kulkarni, Zhengping Ji, Yasser Ibrahim, Xia Hu
2024 J jnl
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology.
CoRR
Aidan Gilson, Xuguang Ai, Thilaka Arunachalam, Ziyou Chen, Ki Xiong Cheong, Amisha D. Dave, Cameron Duic, Mercy Kibe, Annette Kaminaka, Minali Prasad, Fares Siddig, Maxwell B. Singer, Wendy Wong, Qiao Jin, Tiarnan D. L. Keenan, Xia Hu, Emily Y. Chew, Zhiyong Lu, Hua Xu, Ron A. Adelman, Yih-Chung Tham, Qingyu Chen
2024 J jnl
Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization.
Informatics
Aokun Chen, Yunpeng Zhao, Yi Zheng, Hui Hu, Xia Hu, Jennifer N. Fishe, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian
2024 A* conf
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
ICLR
Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
2024 J jnl
FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference.
CoRR
Zirui Liu, Qingquan Song, Qiang Charles Xiao, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Xia Hu
2024 J jnl
Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data.
CoRR
Aokun Chen, Qian Li, Yu Huang, Yongqiu Li, Yu-Neng Chuang, Xia Hu, Serena Guo, Yonghui Wu, Yi Guo, Jiang Bian
2024 A* conf
GNNs Also Deserve Editing, and They Need It More Than Once.
ICML
Shaochen (Henry) Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, Xia Hu
2024 J jnl
Identify and mitigate bias in electronic phenotyping: A comprehensive study from computational perspective.
J. Biomed. Informatics
Sirui Ding, Shenghan Zhang, Xia Hu, Na Zou
2024 A* conf
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.
ICML
Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu
2024 J jnl
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.
CoRR
Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu
2024 J jnl
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.
CoRR
Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Hu
2024 J jnl
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.
CoRR
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu
2024 A* conf
LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning.
ICML
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu
2024 J jnl
Large Language Models As Faithful Explainers.
CoRR
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Fan Yang, Mengnan Du, Xuanting Cai, Xia Hu
2024 J jnl
Learning to Compress Prompt in Natural Language Formats.
CoRR
Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Hu
2024 J jnl
Learning to Route with Confidence Tokens.
CoRR
Yu-Neng Chuang, Helen Zhou, Prathusha Kameswara Sarma, Parikshit Gopalan, John Boccio, Sara Bolouki, Xia Hu
2024 J jnl
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.
CoRR
Hongyi Liu, Shaochen (Henry) Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2024 J jnl
On the Equivalence of Graph Convolution and Mixup.
Trans. Mach. Learn. Res.
Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu
2024 J jnl
PME: pruning-based multi-size embedding for recommender systems.
Frontiers Big Data
Zirui Liu, Qingquan Song, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
2024 J jnl
SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization.
J. Biomed. Informatics
Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
2024 — conf
Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models.
NAACL-HLT (Findings)
Ruixiang Tang, Yu-Neng Chuang, Xuanting Cai, Mengnan Du, Xia Hu
2024 J jnl
Shortcut Learning of Large Language Models in Natural Language Understanding.
Commun. ACM
Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu
2024 A* conf
Soft Prompt Recovers Compressed LLMs, Transferably.
ICML
Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen (Henry) Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava
2024 A* conf
TVE: Learning Meta-attribution for Transferable Vision Explainer.
ICML
Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2024 J jnl
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion.
CoRR
Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu
2024 J jnl
The Science of Detecting LLM-Generated Text.
Commun. ACM
Ruixiang Tang, Yu-Neng Chuang, Xia Hu
2024 A conf
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering.
WSDM
Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
2024 J jnl
Understanding Different Design Choices in Training Large Time Series Models.
CoRR
Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Qiaoyu Tan, Daochen Zha, Xia Hu
2024 A* conf
Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.
ICDE
Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
2024 J jnl
Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery.
CoRR
Yifan Wu, Yuntao Yang, Zirui Liu, Zhao Li, Khushbu Pahwa, Rongbin Li, Wenjin Zheng, Xia Hu, Zhaozhuo Xu
2023 A conf
Adaptive Label Smoothing To Regularize Large-Scale Graph Training.
SDM
Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu
2023 J jnl
Adaptive RiskAware Bidding with Budget Constraint in Display Advertising.
SIGKDD Explor.
Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi
2023 — conf
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks.
EMNLP (Findings)
Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan Kulkarni, Xia Hu
2023 J jnl
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks.
CoRR
Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan Kulkarni, Xia Hu
2023 J jnl
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study.
IEEE Trans. Pattern Anal. Mach. Intell.
Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
2023 A conf
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection.
WSDM
Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023 — conf
CAPTAIN: An AI-Based Chatbot for Cyberbullying Prevention and Intervention.
HCI (41)
Andrew T. Lian, Alfredo Costilla-Reyes, Xia Hu
2023 — conf
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke.
BCB
Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He
2023 J jnl
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke.
CoRR
Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He
2023 A* conf
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach.
NeurIPS
Zhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu
2023 J jnl
Chasing Fairness in Graphs: A GNN Architecture Perspective.
CoRR
Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
2023 J jnl
Collaborative Graph Neural Networks for Attributed Network Embedding.
CoRR
Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
2023 J jnl
Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt.
CoRR
Zhaozhuo Xu, Zirui Liu, Beidi Chen, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava
2023 A conf
Context-aware Domain Adaptation for Time Series Anomaly Detection.
SDM
Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu
2023 J jnl
Context-aware Domain Adaptation for Time Series Anomaly Detection.
CoRR
Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu
2023 J jnl
DEGREE: Decomposition Based Explanation For Graph Neural Networks.
CoRR
Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
2023 J jnl
DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification.
Trans. Mach. Learn. Res.
Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023 A conf
Data-centric AI: Perspectives and Challenges.
SDM
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu
2023 J jnl
Data-centric AI: Perspectives and Challenges.
CoRR
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu
2023 A* conf
Data-centric AI: Techniques and Future Perspectives.
KDD
Daochen Zha, Kwei-Herng Lai, Fan Yang, Na Zou, Huiji Gao, Xia Hu
2023 J jnl
Data-centric Artificial Intelligence: A Survey.
CoRR
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Hu
2023 — conf
Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection.
ECML/PKDD (6)
Ruixiang Tang, Mengnan Du, Xia Hu
2023 J jnl
Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking.
CoRR
Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu
2023 J jnl
Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking.
SIGKDD Explor.
Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu
2023 A conf
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.
CIKM
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu
2023 J jnl
Does Synthetic Data Generation of LLMs Help Clinical Text Mining?
CoRR
Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, Xia Hu
2023 A* conf
Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation.
ICDM
Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
2023 J jnl
Editable Graph Neural Network for Node Classifications.
CoRR
Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023 — conf
Error Detection on Knowledge Graphs with Triple Embedding.
EUSIPCO
Yezi Liu, Qinggang Zhang, Mengnan Du, Xiao Huang, Xia Hu
2023 A conf
Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks.
CIKM
Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain, Xia Hu
2023 J jnl
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
CoRR
Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
2023 A* conf
Fair Graph Distillation.
NeurIPS
Qizhang Feng, Zhimeng Stephen Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu
2023 J jnl
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning.
CoRR
Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
2023 J jnl
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length.
CoRR
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu
2023 J jnl
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.
CoRR
Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu
2023 A conf
Hessian-aware Quantized Node Embeddings for Recommendation.
RecSys
Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
2023 J jnl
Hessian-aware Quantized Node Embeddings for Recommendation.
CoRR
Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
2023 J jnl
LETA: Learning Transferable Attribution for Generic Vision Explainer.
CoRR
Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2023 J jnl
LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability.
CoRR
Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
2023 A* conf
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization.
ICLR
Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
2023 J jnl
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant.
CoRR
Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu
2023 A* conf
Multi-factor Sequential Re-ranking with Perception-Aware Diversification.
KDD
Yue Xu, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang, Lixiang Lai, Tao Zhuang, Junfeng Ge, Xia Hu
2023 J jnl
Multi-factor Sequential Re-ranking with Perception-Aware Diversification.
CoRR
Yue Xu, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang, Lixiang Lai, Tao Zhuang, Junfeng Ge, Xia Hu
2023 J jnl
Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling.
J. Biomed. Informatics
Can Li, Sirui Ding, Na Zou, Xia Hu, Xiaoqian Jiang, Kai Zhang
2023 J jnl
On the Equivalence of Graph Convolution and Mixup.
CoRR
Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu
2023 A* conf
One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning.
NeurIPS
Shaochen (Henry) Zhong, Zaichuan You, Jiamu Zhang, Sebastian Zhao, Zachary LeClaire, Zirui Liu, Daochen Zha, Vipin Chaudhary, Shuai Xu, Xia Hu
2023 — conf
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data.
ICHI
Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu
2023 J jnl
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data.
CoRR
Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu
2023 — conf
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models.
MLSys
Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
2023 J jnl
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models.
CoRR
Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
2023 J jnl
Predicting the Risk of Alzheimer's Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach.
Informatics
Zhaoyi Chen, Yuchen Yang, Dazheng Zhang, Jingchuan Guo, Yi Guo, Xia Hu, Yong Chen, Jiang Bian
2023 A* conf
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation.
IJCAI
Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang
2023 A* conf
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations.
ICML
Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu
2023 J jnl
Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity.
CoRR
Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
2023 J jnl
Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity.
Trans. Mach. Learn. Res.
Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
2023 A conf
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding.
EACL
Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Hassan Awadallah
2023 A conf
S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking.
WSDM
Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
2023 J jnl
SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization.
CoRR
Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
2023 A* conf
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots.
NeurIPS
Ruixiang (Ryan) Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu
2023 J jnl
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots.
CoRR
Ruixiang Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu
2023 A conf
Tackling Diverse Minorities in Imbalanced Classification.
CIKM
Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
2023 J jnl
Tackling Diverse Minorities in Imbalanced Classification.
CoRR
Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
2023 J jnl
The Science of Detecting LLM-Generated Texts.
CoRR
Ruixiang Tang, Yu-Neng Chuang, Xia Hu
2023 J jnl
Towards Assumption-free Bias Mitigation.
CoRR
Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, Xiaotian Han, Xia Hu, Na Zou
2023 J jnl
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint.
CoRR
Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou
2023 J jnl
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering.
CoRR
Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
2023 J jnl
Towards Personalized Preprocessing Pipeline Search.
CoRR
Diego Martinez, Daochen Zha, Qiaoyu Tan, Xia Hu
2023 J jnl
Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.
CoRR
Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
2023 A* conf
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.
NeurIPS
Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu
2022 A* conf
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.
NeurIPS
Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022 J jnl
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.
CoRR
Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022 J jnl
Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising.
CoRR
Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi
2022 A* conf
Adversarial Graph Perturbations for Recommendations at Scale.
SIGIR
Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang
2022 A* conf
An Information Fusion Approach to Learning with Instance-Dependent Label Noise.
ICLR
Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2022 — conf
Analysis Of Acknowledgments of Libraries in the Journal Literature Using Machine Learning.
ASIST
David E. Hubbard, Sierra Laddusaw, Qiaoyu Tan, Xia Hu
2022 J jnl
Auto-GNN: Neural architecture search of graph neural networks.
Frontiers Big Data
Kaixiong Zhou, Xiao Huang, Qingquan Song, Rui Chen, Xia Hu
2022 J jnl
Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture.
CoRR
Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, Daochen Zha, Ulisses Braga-Neto, Xia Hu
2022 — conf
AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks.
AutoML
Duc N. M. Hoang, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022 A* conf
AutoShard: Automated Embedding Table Sharding for Recommender Systems.
KDD
Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
2022 J jnl
AutoShard: Automated Embedding Table Sharding for Recommender Systems.
CoRR
Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
2022 A* conf
AutoVideo: An Automated Video Action Recognition System.
IJCAI
Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Jiaben Chen, Kwei-Herng Lai, Mohammad Qazim Bhat, Anmoll Kumar Jain, Alfredo Costilla-Reyes, Na Zou, Xia Hu
2022 J jnl
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2022 J jnl
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection.
CoRR
Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2022 A* conf
DEGREE: Decomposition Based Explanation for Graph Neural Networks.
ICLR
Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
2022 J jnl
Deconfounding to Explanation Evaluation in Graph Neural Networks.
CoRR
Ying-Xin Wu, Xiang Wang, An Zhang, Xia Hu, Fuli Feng, Xiangnan He, Tat-Seng Chua
2022 J jnl
Defense Against Explanation Manipulation.
Frontiers Big Data
Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu
2022 J jnl
Differentially Private Counterfactuals via Functional Mechanism.
CoRR
Fan Yang, Qizhang Feng, Kaixiong Zhou, Jiahao Chen, Xia Hu
2022 J jnl
Differentiated Explanation of Deep Neural Networks With Skewed Distributions.
IEEE Trans. Pattern Anal. Mach. Intell.
Weijie Fu, Meng Wang, Mengnan Du, Ninghao Liu, Shijie Hao, Xia Hu
2022 A* conf
DreamShard: Generalizable Embedding Table Placement for Recommender Systems.
NeurIPS
Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2022 J jnl
DreamShard: Generalizable Embedding Table Placement for Recommender Systems.
CoRR
Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2022 A* conf
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression.
ICLR
Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu
2022 J jnl
FMP: Toward Fair Graph Message Passing against Topology Bias.
CoRR
Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
2022 J jnl
Fair Machine Learning in Healthcare: A Review.
CoRR
Qizhang Feng, Mengnan Du, Na Zou, Xia Hu
2022 Misc conf
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning.
AMIA
Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
2022 A* conf
G-Mixup: Graph Data Augmentation for Graph Classification.
ICML
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu
2022 J jnl
G-Mixup: Graph Data Augmentation for Graph Classification.
CoRR
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu
2022 A* conf
Generalized Demographic Parity for Group Fairness.
ICLR
Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu
2022 A* conf
Geometric Graph Representation Learning via Maximizing Rate Reduction.
WWW
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
2022 J jnl
Geometric Graph Representation Learning via Maximizing Rate Reduction.
CoRR
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
2022 J jnl
Interpreting Image Classifiers by Generating Discrete Masks.
IEEE Trans. Pattern Anal. Mach. Intell.
Hao Yuan, Lei Cai, Xia Hu, Jie Wang, Shuiwang Ji
2022 J jnl
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs.
CoRR
Qiaoyu Tan, Ninghao Liu, Xiao Huang, Rui Chen, Soo-Hyun Choi, Xia Hu
2022 J jnl
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization.
CoRR
Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
2022 J jnl
Mitigating Relational Bias on Knowledge Graphs.
CoRR
Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
2022 J jnl
MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning.
CoRR
Cameron Diao, Kaixiong Zhou, Xiao Huang, Xia Hu
2022 A* conf
Orthogonal Graph Neural Networks.
AAAI
Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang
2022 J jnl
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks.
CoRR
Kaixiong Zhou, Zhenyu Zhang, Shengyuan Chen, Tianlong Chen, Xiao Huang, Zhangyang Wang, Xia Hu
2022 A* conf
RES: An Interpretable Replicability Estimation System for Research Publications.
AAAI
Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman III, Xia Hu, James Caverlee
2022 J jnl
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations.
CoRR
Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu
2022 J jnl
Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs.
IEEE Trans. Neural Networks Learn. Syst.
Jiaxu Cui, Bo Yang, Bingyi Sun, Xia Hu, Jiming Liu
2022 J jnl
Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey.
CoRR
Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu
2022 J jnl
Social Boosted Recommendation With Folded Bipartite Network Embedding.
IEEE Trans. Knowl. Data Eng.
Hongxu Chen, Hongzhi Yin, Tong Chen, Weiqing Wang, Xue Li, Xia Hu
2022 J jnl
Subarchitecture Ensemble Pruning in Neural Architecture Search.
IEEE Trans. Neural Networks Learn. Syst.
Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu
2022 A* conf
Table2Graph: Transforming Tabular Data to Unified Weighted Graph.
IJCAI
Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2022 A conf
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems.
RecSys
Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
2022 J jnl
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems.
CoRR
Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
2022 A* conf
Towards Debiasing DNN Models from Spurious Feature Influence.
AAAI
Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu
2022 A* conf
Towards Learning Disentangled Representations for Time Series.
KDD
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
2022 A conf
Towards Similarity-Aware Time-Series Classification.
SDM
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2022 J jnl
Towards Similarity-Aware Time-Series Classification.
CoRR
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2022 J jnl
Understanding Social Biases Behind Location Names in Contextual Word Embedding Models.
IEEE Trans. Comput. Soc. Syst.
Fangsheng Wu, Mengnan Du, Chao Fan, Ruixiang Tang, Yang Yang, Ali Mostafavi, Xia Hu
2021 A* conf
A Unified Taylor Framework for Revisiting Attribution Methods.
AAAI
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu
2021 J jnl
Adaptive Label Smoothing To Regularize Large-Scale Graph Training.
CoRR
Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021 J jnl
Adversarial Attacks and Defenses: An Interpretation Perspective.
SIGKDD Explor.
Ninghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, Xia Hu
2021 A* conf
AutoOD: Neural Architecture Search for Outlier Detection.
ICDE
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2021 J jnl
AutoVideo: An Automated Video Action Recognition System.
CoRR
Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Anmoll Kumar Jain, Mohammad Qazim Bhat, Kwei-Herng Lai, Jiaben Chen, Na Zou, Xia Hu
2021 J jnl
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study.
CoRR
Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
2021 J jnl
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks.
CoRR
Haotian Xue, Kaixiong Zhou, Tianlong Chen, Kai Guo, Xia Hu, Yi Chang, Xin Wang
2021 J jnl
Defense Against Explanation Manipulation.
CoRR
Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu
2021 A* conf
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks.
NeurIPS
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021 J jnl
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks.
CoRR
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021 A* conf
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization.
ICCV
Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu
2021 J jnl
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization.
CoRR
Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu
2021 A* conf
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning.
ICML
Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu
2021 J jnl
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning.
CoRR
Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu
2021 A* conf
Dynamic Memory based Attention Network for Sequential Recommendation.
AAAI
Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu
2021 J jnl
Dynamic Memory based Attention Network for Sequential Recommendation.
CoRR
Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu
2021 J jnl
Fairness in Deep Learning: A Computational Perspective.
IEEE Intell. Syst.
Mengnan Du, Fan Yang, Na Zou, Xia Hu
2021 J jnl
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation.
CoRR
Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu
2021 J jnl
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation.
SIGKDD Explor.
Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu
2021 J jnl
Learning Disentangled Representations for Time Series.
CoRR
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu
2021 J jnl
Learning credible DNNs via incorporating prior knowledge and model local explanation.
Knowl. Inf. Syst.
Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2021 A conf
Machine Learning Explanations to Prevent Overtrust in Fake News Detection.
ICWSM
Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan
2021 A* conf
Mitigating Gender Bias in Captioning Systems.
WWW
Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu
2021 A* conf
Model-Based Counterfactual Synthesizer for Interpretation.
KDD
Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu
2021 J jnl
Model-Based Counterfactual Synthesizer for Interpretation.
CoRR
Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu
2021 A* conf
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution.
KDD
Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu
2021 J jnl
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution.
CoRR
Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu
2021 J jnl
Orthogonal Graph Neural Networks.
CoRR
Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang
2021 A* conf
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.
ICLR
Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu
2021 J jnl
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.
CoRR
Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu
2021 J jnl
Simplifying Deep Reinforcement Learning via Self-Supervision.
CoRR
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2021 A conf
Sparse-Interest Network for Sequential Recommendation.
WSDM
Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu
2021 J jnl
Sparse-Interest Network for Sequential Recommendation.
CoRR
Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu
2021 — conf
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models.
NAACL-HLT
Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu
2021 J jnl
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models.
CoRR
Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu
2021 J jnl
What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression.
CoRR
Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Hassan Awadallah
2020 J jnl
A Unified Taylor Framework for Revisiting Attribution Methods.
CoRR
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu
2020 J jnl
A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter.
BMC Medical Informatics Decis. Mak.
Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu
2020 J jnl
Adversarial Machine Learning: An Interpretation Perspective.
CoRR
Ninghao Liu, Mengnan Du, Xia Hu
2020 A* conf
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks.
KDD
Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2020 J jnl
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks.
CoRR
Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2020 J jnl
Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability.
CoRR
Ninghao Liu, Yunsong Meng, Xia Hu, Tie Wang, Bo Long
2020 J jnl
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning.
CoRR
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2020 A conf
AutoRec: An Automated Recommender System.
RecSys
Ting-Hsiang Wang, Xia Hu, Haifeng Jin, Qingquan Song, Xiaotian Han, Zirui Liu
2020 J jnl
AutoRec: An Automated Recommender System.
CoRR
Ting-Hsiang Wang, Qingquan Song, Xiaotian Han, Zirui Liu, Haifeng Jin, Xia Hu
2020 J jnl
Characterizing reticulation in online social networks during disasters.
Appl. Netw. Sci.
Chao Fan, Jiayi Shen, Ali Mostafavi, Xia Hu
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 A conf
Deep Neural Networks with Knowledge Instillation.
SDM
Fan Yang, Ninghao Liu, Mengnan Du, Kaixiong Zhou, Shuiwang Ji, Xia Hu
2020 J jnl
Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection.
CoRR
Ruixiang Tang, Mengnan Du, Xia Hu
2020 A* conf
Detecting Interactions from Neural Networks via Topological Analysis.
NeurIPS
Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu
2020 A* conf
Dual Policy Distillation.
IJCAI
Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu
2020 J jnl
Dual Policy Distillation.
CoRR
Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu
2020 A conf
Explainable Recommender Systems via Resolving Learning Representations.
CIKM
Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
2020 J jnl
Explainable Recommender Systems via Resolving Learning Representations.
CoRR
Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
2020 A* conf
Learning to Hash with Graph Neural Networks for Recommender Systems.
WWW
Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu
2020 J jnl
Learning to Hash with Graph Neural Networks for Recommender Systems.
CoRR
Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu
2020 J jnl
Machine Learning Explanations to Prevent Overtrust in Fake News Detection.
CoRR
Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan
2020 A* conf
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning.
ICDM
Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu
2020 J jnl
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning.
CoRR
Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu
2020 J jnl
Mitigating Gender Bias in Captioning Systems.
CoRR
Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Xia Hu
2020 A* conf
Multi-Channel Graph Neural Networks.
IJCAI
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
2020 J jnl
On Robustness of Neural Architecture Search Under Label Noise.
Frontiers Big Data
Yi-Wei Chen, Qingquan Song, Xi Liu, P. S. Sastry, Xia Hu
2020 A* conf
Policy-GNN: Aggregation Optimization for Graph Neural Networks.
KDD
Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu
2020 J jnl
Policy-GNN: Aggregation Optimization for Graph Neural Networks.
CoRR
Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu
2020 — conf
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning.
WWW (Companion Volume)
Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu
2020 J jnl
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning.
CoRR
Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu
2020 A* conf
RLCard: A Platform for Reinforcement Learning in Card Games.
IJCAI
Daochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, Xia Hu
2020 B conf
Scalable Social Tie Strength Measuring.
ASONAM
Yan Zhong, Xiao Huang, Jundong Li, Xia Hu
2020 — conf
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks.
CVPR Workshops
Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu
2020 J jnl
Techniques for Automated Machine Learning.
SIGKDD Explor.
Yi-Wei Chen, Qingquan Song, Xia Hu
2020 J jnl
Techniques for interpretable machine learning.
Commun. ACM
Mengnan Du, Ninghao Liu, Xia Hu
2020 A* conf
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction.
KDD
Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu
2020 J jnl
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction.
CoRR
Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu
2020 A* conf
Towards Deeper Graph Neural Networks with Differentiable Group Normalization.
NeurIPS
Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
2020 J jnl
Towards Deeper Graph Neural Networks with Differentiable Group Normalization.
CoRR
Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
2020 J jnl
Towards Fairness-Aware Disaster Informatics: an Interdisciplinary Perspective.
IEEE Access
Yang Yang, Cheng Zhang, Chao Fan, Ali Mostafavi, Xia Hu
2020 A conf
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder.
CIKM
Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu
2020 J jnl
Towards Interaction Detection Using Topological Analysis on Neural Networks.
CoRR
Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu
2020 A* conf
XGNN: Towards Model-Level Explanations of Graph Neural Networks.
KDD
Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji
2020 J jnl
XGNN: Towards Model-Level Explanations of Graph Neural Networks.
CoRR
Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji
2020 J jnl
iCapsNets: Towards Interpretable Capsule Networks for Text Classification.
CoRR
Zhengyang Wang, Xia Hu, Shuiwang Ji
2019 — conf
An Interpretable Neural Model with Interactive Stepwise Influence.
PAKDD (3)
Yin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, Xia Hu
2019 J jnl
Auto-GNN: Neural Architecture Search of Graph Neural Networks.
CoRR
Kaixiong Zhou, Qingquan Song, Xiao Huang, Xia Hu
2019 A* conf
Auto-Keras: An Efficient Neural Architecture Search System.
KDD
Haifeng Jin, Qingquan Song, Xia Hu
2019 J jnl
Computational modeling of cellular structures using conditional deep generative networks.
Bioinform.
Hao Yuan, Lei Cai, Zhengyang Wang, Xia Hu, Shaoting Zhang, Shuiwang Ji
2019 J jnl
Contextual Local Explanation for Black Box Classifiers.
CoRR
Zijian Zhang, Fan Yang, Haofan Wang, Xia Hu
2019 A* conf
Coupled Variational Recurrent Collaborative Filtering.
KDD
Qingquan Song, Shiyu Chang, Xia Hu
2019 A* conf
Deep Bayesian Optimization on Attributed Graphs.
AAAI
Jiaxu Cui, Bo Yang, Xia Hu
2019 J jnl
Deep Bayesian Optimization on Attributed Graphs.
CoRR
Jiaxu Cui, Bo Yang, Xia Hu
2019 J jnl
Deep Representation Learning for Social Network Analysis.
CoRR
Qiaoyu Tan, Ninghao Liu, Xia Hu
2019 J jnl
Deep Representation Learning for Social Network Analysis.
Frontiers Big Data
Qiaoyu Tan, Ninghao Liu, Xia Hu
2019 B conf
Deep Structured Cross-Modal Anomaly Detection.
IJCNN
Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu
2019 J jnl
Deep Structured Cross-Modal Anomaly Detection.
CoRR
Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu
2019 J jnl
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning.
CoRR
Fan Yang, Mengnan Du, Xia Hu
2019 A* conf
Experience Replay Optimization.
IJCAI
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2019 J jnl
Experience Replay Optimization.
CoRR
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2019 J jnl
Fairness in Deep Learning: A Computational Perspective.
CoRR
Mengnan Du, Fan Yang, Na Zou, Xia Hu
2019 A* conf
Graph Recurrent Networks With Attributed Random Walks.
KDD
Xiao Huang, Qingquan Song, Yuening Li, Xia Hu
2019 — conf
Identification of Cancer Survivors Living with PTSD on Social Media.
MedInfo
Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu
2019 A* conf
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods.
AAAI
Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji
2019 J jnl
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding.
CoRR
Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu
2019 A* conf
Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding.
KDD
Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu
2019 A* conf
Large-Scale Heterogeneous Feature Embedding.
AAAI
Xiao Huang, Qingquan Song, Fan Yang, Xia Hu
2019 A* conf
Learning Credible Deep Neural Networks with Rationale Regularization.
ICDM
Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2019 J jnl
Learning Credible Deep Neural Networks with Rationale Regularization.
CoRR
Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2019 J jnl
Multi-Channel Graph Convolutional Networks.
CoRR
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
2019 J jnl
Multi-Label Adversarial Perturbations.
CoRR
Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu
2019 A* conf
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition.
WWW
Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu
2019 J jnl
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition.
CoRR
Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu
2019 J jnl
Open Issues in Combating Fake News: Interpretability as an Opportunity.
CoRR
Sina Mohseni, Eric D. Ragan, Xia Hu
2019 J jnl
PyODDS: An End-to-End Outlier Detection System.
CoRR
Yuening Li, Daochen Zha, Na Zou, Xia Hu
2019 J jnl
RLCard: A Toolkit for Reinforcement Learning in Card Games.
CoRR
Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, Xia Hu
2019 A conf
Representation Interpretation with Spatial Encoding and Multimodal Analytics.
WSDM
Ninghao Liu, Mengnan Du, Xia Hu
2019 J jnl
Social media for intelligent public information and warning in disasters: An interdisciplinary review.
Int. J. Inf. Manag.
Cheng Zhang, Chao Fan, Wenlin Yao, Xia Hu, Ali Mostafavi
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 J jnl
Sub-Architecture Ensemble Pruning in Neural Architecture Search.
CoRR
Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu
2019 J jnl
Tensor Completion Algorithms in Big Data Analytics.
ACM Trans. Knowl. Discov. Data
Qingquan Song, Hancheng Ge, James Caverlee, Xia Hu
2019 J jnl
Towards Generalizable Forgery Detection with Locality-aware AutoEncoder.
CoRR
Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu
2019 — conf
Using Deep Neural Network to Identify Cancer Survivors Living with Post-Traumatic Stress Disorder on Social Media.
SEPDA@ISWC
Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu
2019 J jnl
XDeep: An Interpretation Tool for Deep Neural Networks.
CoRR
Fan Yang, Zijian Zhang, Haofan Wang, Yuening Li, Xia Hu
2018 J jnl
A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks.
ACM Trans. Knowl. Discov. Data
Xiao Huang, Jundong Li, Na Zou, Xia Hu
2018 A* conf
Adversarial Detection with Model Interpretation.
KDD
Ninghao Liu, Hongxia Yang, Xia Hu
2018 A* conf
Contextual Outlier Interpretation.
IJCAI
Ninghao Liu, Donghwa Shin, Xia Hu
2018 A* conf
DisTenC: A Distributed Algorithm for Scalable Tensor Completion on Spark.
ICDE
Hancheng Ge, Kai Zhang, Majid Alfifi, Xia Hu, James Caverlee
2018 A conf
Exploring Expert Cognition for Attributed Network Embedding.
WSDM
Xiao Huang, Qingquan Song, Jundong Li, Xia Hu
2018 A conf
Fairness-Aware Tensor-Based Recommendation.
CIKM
Ziwei Zhu, Xia Hu, James Caverlee
2018 A* conf
Link Prediction With Personalized Social Influence.
AAAI
Zepeng Huo, Xiao Huang, Xia Hu
2018 A* conf
Multi-label Adversarial Perturbations.
ICDM
Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu
2018 A* conf
On Interpretation of Network Embedding via Taxonomy Induction.
KDD
Ninghao Liu, Xiao Huang, Jundong Li, Xia Hu
2018 A* conf
Privacy-Preserving Social Media Data Outsourcing.
INFOCOM
Jinxue Zhang, Jingchao Sun, Rui Zhang, Yanchao Zhang, Xia Hu
2018 — ch.
Spam Detection on Social Networks.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Ninghao Liu, Xia Hu
2018 J jnl
Special Issue on Data Mining in Health Informatics.
J. Heal. Informatics Res.
Xia Hu, Gregor Stiglic, Fei Wang
2018 J jnl
Techniques for Interpretable Machine Learning.
CoRR
Mengnan Du, Ninghao Liu, Xia Hu
2018 A* conf
Towards Explanation of DNN-based Prediction with Guided Feature Inversion.
KDD
Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu
2018 J jnl
Towards Explanation of DNN-based Prediction with Guided Feature Inversion.
CoRR
Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu
2018 A* conf
Towards Interpretation of Recommender Systems with Sorted Explanation Paths.
ICDM
Fan Yang, Ninghao Liu, Suhang Wang, Xia Hu
2018 — conf
TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation.
RecSys Challenge
Xing Zhao, Qingquan Song, James Caverlee, Xia Hu
2018 J jnl
Understanding and Identifying Rhetorical Questions in Social Media.
ACM Trans. Intell. Syst. Technol.
Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
2018 J jnl
Understanding and Monitoring Human Trafficking via Social Sensors: A Sociological Approach.
CoRR
Yang Yang, Xia Hu, Haoyan Liu, Jiawei Zhang, Zhoujun Li, Philip S. Yu
2018 J jnl
r-instance Learning for Missing People Tweets Identification.
CoRR
Yang Yang, Xia Hu, Haoyan Liu, Jiawei Zhang, Zhoujun Li, Philip S. Yu
2017 A conf
Accelerated Attributed Network Embedding.
SDM
Xiao Huang, Jundong Li, Xia Hu
2017 A* conf
Accelerated Local Anomaly Detection via Resolving Attributed Networks.
IJCAI
Ninghao Liu, Xiao Huang, Xia Hu
2017 A conf
Adaptive Spammer Detection with Sparse Group Modeling.
ICWSM
Liang Wu, Xia Hu, Fred Morstatter, Huan Liu
2017 A conf
Attributed Network Embedding for Learning in a Dynamic Environment.
CIKM
Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu
2017 J jnl
Attributed Network Embedding for Learning in a Dynamic Environment.
CoRR
Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu
2017 J jnl
Contextual Outlier Interpretation.
CoRR
Ninghao Liu, Donghwa Shin, Xia Hu
2017 J jnl
Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts.
ACM Trans. Inf. Syst.
Da Cao, Xiangnan He, Liqiang Nie, Xiaochi Wei, Xia Hu, Shunxiang Wu, Tat-Seng Chua
2017 A conf
Detecting Camouflaged Content Polluters.
ICWSM
Liang Wu, Xia Hu, Fred Morstatter, Huan Liu
2017 A conf
Early Identification of Personalized Trending Topics in Microblogging.
ICWSM
Liang Wu, Xia Hu, Huan Liu
2017 J jnl
Facilitating Time Critical Information Seeking in Social Media.
IEEE Trans. Knowl. Data Eng.
Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu
2017 A conf
Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media.
SDM
Liang Wu, Jundong Li, Xia Hu, Huan Liu
2017 A conf
IDM 2017: Workshop on Interpretable Data Mining - Bridging the Gap between Shallow and Deep Models.
CIKM
Xia Hu, Shuiwang Ji
2017 A conf
Label Informed Attributed Network Embedding.
WSDM
Xiao Huang, Jundong Li, Xia Hu
2017 A* conf
Multi-Aspect Streaming Tensor Completion.
KDD
Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, Xia Hu
2017 A* conf
Neural Collaborative Filtering.
WWW
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua
2017 J jnl
Neural Collaborative Filtering.
CoRR
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua
2017 A* conf
Radar: Residual Analysis for Anomaly Detection in Attributed Networks.
IJCAI
Jundong Li, Harsh Dani, Xia Hu, Huan Liu
2017 J jnl
Tensor Completion Algorithms in Big Data Analytics.
CoRR
Qingquan Song, Hancheng Ge, James Caverlee, Xia Hu
2017 J jnl
Wellness Representation of Users in Social Media: Towards Joint Modelling of Heterogeneity and Temporality.
IEEE Trans. Knowl. Data Eng.
Mohammad Akbari, Xia Hu, Fei Wang, Tat-Seng Chua
2017 A* conf
What Are You Known For?: Learning User Topical Profiles with Implicit and Explicit Footprints.
SIGIR
Cheng Cao, Hancheng Ge, Haokai Lu, Xia Hu, James Caverlee
2016 — ch.
An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief.
Sentiment Analysis and Ontology Engineering
Ghazaleh Beigi, Xia Hu, Ross Maciejewski, Huan Liu
2016 J jnl
CPB: a classification-based approach for burst time prediction in cascades.
Knowl. Inf. Syst.
Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li, Biao Wang
2016 A conf
Data Summarization with Social Contexts.
CIKM
Hao Zhuang, Rameez Rahman, Xia Hu, Tian Guo, Pan Hui, Karl Aberer
2016 A conf
Exploring Personal Attributes from Unprotected Interactions.
ICWSM
Pritam Gundecha, Jiliang Tang, Xia Hu, Huan Liu
2016 A* conf
From Tweets to Wellness: Wellness Event Detection from Twitter Streams.
AAAI
Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua
2016 A conf
Identifying Rhetorical Questions in Social Media.
ICWSM
Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
2016 J jnl
Learning Geographical Hierarchy Features via a Compositional Model.
IEEE Trans. Multim.
Xiaoming Zhang, Xia Hu, Senzhang Wang, Yang Yang, Zhoujun Li, Jianshe Zhou
2016 J jnl
Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance.
EURASIP J. Bioinform. Syst. Biol.
Xia Hu, Peter D. Reaven, Aramesh Saremi, Ninghao Liu, Mohammad Ali Abbasi, Huan Liu, Raymond Q. Migrino
2016 A* conf
Predicting Online Protest Participation of Social Media Users.
AAAI
Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
2016 A* conf
Recommendation with Social Dimensions.
AAAI
Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu
2016 A conf
Relational Learning with Social Status Analysis.
WSDM
Liang Wu, Xia Hu, Huan Liu
2016 A conf
Robust Unsupervised Feature Selection on Networked Data.
SDM
Jundong Li, Xia Hu, Liang Wu, Huan Liu
2016 A* conf
Toward Time-Evolving Feature Selection on Dynamic Networks.
ICDM
Jundong Li, Xia Hu, Ling Jian, Huan Liu
2016 J jnl
Towards organizing health knowledge on community-based health services.
EURASIP J. Bioinform. Syst. Biol.
Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua
2016 A conf
Understanding and Identifying Advocates for Political Campaigns on Social Media.
WSDM
Suhas Ranganath, Xia Hu, Jiliang Tang, Huan Liu
2016 A conf
Your Age Is No Secret: Inferring Microbloggers' Ages via Content and Interaction Analysis.
ICWSM
Jinxue Zhang, Xia Hu, Yanchao Zhang, Huan Liu
2015 A* conf
Burst Time Prediction in Cascades.
AAAI
Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li
2015 A* conf
Content-Aware Point of Interest Recommendation on Location-Based Social Networks.
AAAI
Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu
2015 J jnl
Embracing Information Explosion without Choking: Clustering and Labeling in Microblogging.
IEEE Trans. Big Data
Xia Hu, Lei Tang, Huan Liu
2015 A* conf
Finding Time-Critical Responses for Information Seeking in Social Media.
ICDM
Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu
2015 B conf
Finding the Right Social Media Site for Questions.
ASONAM
Zhen Yang, Isaac Jones, Xia Hu, Huan Liu
2015 A* conf
Learning Geographical Hierarchy Features for Social Image Location Prediction.
IJCAI
Xiaoming Zhang, Xia Hu, Zhoujun Li
2015 A* conf
Leveraging Social Foci for Information Seeking in Social Media.
AAAI
Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu
2015 J jnl
Leveraging Social Foci for Information Seeking in Social Media.
CoRR
Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu
2015 J jnl
Predicting Online Protest Participation of Social Media Users.
CoRR
Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Huan Liu
2015 — conf
Social Answer: A System for Finding Appropriate Sites for Questions in Social Media.
ICDM Workshops
Harsh Dani, Fred Morstatter, Xia Hu, Zhen Yang, Huan Liu
2015 A conf
Unsupervised Streaming Feature Selection in Social Media.
CIKM
Jundong Li, Xia Hu, Jiliang Tang, Huan Liu
2015 — conf
Visualizing Social Media Sentiment in Disaster Scenarios.
WWW (Companion Volume)
Yafeng Lu, Xia Hu, Feng Wang, Shamanth Kumar, Huan Liu, Ross Maciejewski
2014 — conf
A behavior analytics approach to identifying tweets from crisis regions.
HT
Shamanth Kumar, Xia Hu, Huan Liu
2014 A conf
Discriminant Analysis for Unsupervised Feature Selection.
SDM
Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu
2014 — conf
Is distrust the negation of trust?: the value of distrust in social media.
HT
Jiliang Tang, Xia Hu, Huan Liu
2014 A* conf
Leveraging knowledge across media for spammer detection in microblogging.
SIGIR
Xia Hu, Jiliang Tang, Huan Liu
2014 A* conf
MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades.
KDD
Senzhang Wang, Xia Hu, Philip S. Yu, Zhoujun Li
2014 A* conf
Online Social Spammer Detection.
AAAI
Xia Hu, Jiliang Tang, Huan Liu
2014 A conf
Predictability of Distrust with Interaction Data.
CIKM
Jiliang Tang, Xia Hu, Yi Chang, Huan Liu
2014 A* conf
Social Spammer Detection with Sentiment Information.
ICDM
Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu
2013 A conf
ActNeT: Active Learning for Networked Texts in Microblogging.
SDM
Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu
2013 A conf
Context-aware review helpfulness rating prediction.
RecSys
Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu
2013 A* conf
Exploiting Local and Global Social Context for Recommendation.
IJCAI
Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu
2013 A conf
Exploiting homophily effect for trust prediction.
WSDM
Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu
2013 A conf
Exploiting social relations for sentiment analysis in microblogging.
WSDM
Xia Hu, Lei Tang, Jiliang Tang, Huan Liu
2013 A conf
Exploring temporal effects for location recommendation on location-based social networks.
RecSys
Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu
2013 A* conf
From Interest to Function: Location Estimation in Social Media.
AAAI
Yan Chen, Jichang Zhao, Xia Hu, Xiaoming Zhang, Zhoujun Li, Tat-Seng Chua
2013 A conf
Modeling temporal effects of human mobile behavior on location-based social networks.
CIKM
Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu
2013 A* conf
Social Spammer Detection in Microblogging.
IJCAI
Xia Hu, Jiliang Tang, Yanchao Zhang, Huan Liu
2013 J jnl
Social recommendation: a review.
Soc. Netw. Anal. Min.
Jiliang Tang, Xia Hu, Huan Liu
2013 A conf
Unsupervised Feature Selection for Multi-View Data in Social Media.
SDM
Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu
2013 A* conf
Unsupervised sentiment analysis with emotional signals.
WWW
Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu
2012 B conf
A Semi-Supervised Bayesian Network Model for Microblog Topic Classification.
COLING
Yan Chen, Zhoujun Li, Liqiang Nie, Xia Hu, Xiangyu Wang, Tat-Seng Chua, Xiaoming Zhang
2012 J jnl
Enriching short text representation in microblog for clustering.
Frontiers Comput. Sci. China
Jiliang Tang, Xufei Wang, Huiji Gao, Xia Hu, Huan Liu
2012 — conf
Social status and role analysis of palin's email network.
WWW (Companion Volume)
Xia Hu, Huan Liu
2012 — ch.
Text Analytics in Social Media.
Mining Text Data
Xia Hu, Huan Liu
2011 A conf
Enhancing accessibility of microblogging messages using semantic knowledge.
CIKM
Xia Hu, Lei Tang, Huan Liu
2011 A conf
Learning to recommend questions based on public interest.
CIKM
Jun Wang, Xia Hu, Zhoujun Li, Wen-Han Chao, Biyun Hu
2011 Misc conf
User Preference Representation Based on Psychometric Models.
ADC
Biyun Hu, Zhoujun Li, Wen-Han Chao, Xia Hu, Jun Wang
2010 — conf
A Novel Composite Kernel for Finding Similar Questions in CQA Services.
WAIM
Jun Wang, Zhoujun Li, Xia Hu, Biyun Hu
2010 A* conf
Segmentation of multi-sentence questions: towards effective question retrieval in cQA services.
SIGIR
Kai Wang, Zhaoyan Ming, Xia Hu, Tat-Seng Chua
2009 A conf
Exploiting internal and external semantics for the clustering of short texts using world knowledge.
CIKM
Xia Hu, Nan Sun, Chao Zhang, Tat-Seng Chua
2009 — conf
Improving Short Text Clustering Performance with Keyword Expansion.
ISNN (4)
Jun Wang, Yiming Zhou, Lin Li, Biyun Hu, Xia Hu
2009 — conf
Query Segmentation Based on Eigenspace Similarity.
ACL/IJCNLP (2)
Chao Zhang, Nan Sun, Xia Hu, Tingzhu Huang, Tat-Seng Chua