Xiangyu Zhao

415 papers A* 105A 44B 3C 1Misc 1Journal 227Unranked 34
YearRankTypeTitle / Venue / Authors
2026 A* conf
ARCHER: Shooting Straight in Multimodal E-Commerce Search at Alibaba with Progressive Alignment.
WWW
Maolin Wang, Lang Fu, Jun Chu, Kai Guo, Chenjie Qin, Xinxin Wang, Siyu Wu, Wen Jiang, Xiangyu Zhao
2026 J jnl
ARGOS: Automated Functional Safety Requirement Synthesis for Embodied AI via Attribute-Guided Combinatorial Reasoning.
CoRR
Dongsheng Chen, Yuxuan Li, Yi Lin, Guanhua Chen, Jiaxin Zhang, Xiangyu Zhao, Lei Ma, Xin Yao, Xuetao Wei
2026 J jnl
Attention Needs to Focus: A Unified Perspective on Attention Allocation.
CoRR
Zichuan Fu, Wentao Song, Guojing Li, Yejing Wang, Xian Wu, Yimin Deng, Hanyu Yan, Yefeng Zheng, Xiangyu Zhao
2026 A conf
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation.
WSDM
Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xiangyu Zhao, Xiuqiang He, Zhong Ming
2026 A* conf
BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations.
WWW
Mengyang Ma, Xiaopeng Li, Wanyu Wang, Zhaocheng Du, Jingtong Gao, Pengyue Jia, Yuyang Ye, Yiqi Wang, Yunpeng Weng, Weihong Luo, Xiao Han, Xiangyu Zhao
2026 A* conf
Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization.
AAAI
Yuanshao Zhu, Xiangyu Zhao, Zijian Zhang, Xuetao Wei, James Jianqiao Yu
2026 J jnl
CTKGRec: A context-aware temporal knowledge graph reasoning model for next POI recommendation.
Expert Syst. Appl.
Qihong Pan, Hong Zheng, Zhenzhen Zhao, Xiangjie Kong, Guojiang Shen, Xiangyu Zhao
2026 J jnl
Curriculum Learning for Efficient Chain-of-Thought Distillation via Structure-Aware Masking and GRPO.
CoRR
Bowen Yu, Maolin Wang, Sheng Zhang, Binhao Wang, Yi Wen, Jingtong Gao, Bowen Liu, Zimo Zhao, Wanyu Wang, Xiangyu Zhao
2026 J jnl
D2TCDR: Disentangled Diffusion-Based Transfer for Cross-Domain Recommendation.
ACM Trans. Inf. Syst.
Hong Zhou, Xixun Lin, Yanan Cao, Shichao Zhu, Renqi Jia, Xiangyu Zhao, Guandong Xu, Li Guo
2026 J jnl
DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph Condensation.
IEEE Trans. Knowl. Data Eng.
Xinyi Gao, Wenjie Li, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 J jnl
DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent.
CoRR
Tongzhou Wu, Yuhao Wang, Xinyu Ma, Xiuqiang He, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao
2026 J jnl
Democratic Recommendation With User and Item Representatives Produced by Graph Condensation.
IEEE Trans. Knowl. Data Eng.
Jiahao Liang, Haoran Yang, Xiangyu Zhao, Zhiwen Yu, Guandong Xu, Wanyu Wang, Kaixiang Yang
2026 A* conf
Detecting Miscitation on the Scholarly Web through LLM-Augmented Text-Rich Graph Learning.
WWW
Huidong Wu, Haojia Xiang, Jingtong Gao, Xiangyu Zhao, Dengsheng Wu, Jianping Li
2026 J jnl
Detecting Miscitation on the Scholarly Web through LLM-Augmented Text-Rich Graph Learning.
CoRR
Huidong Wu, Haojia Xiang, Jingtong Gao, Xiangyu Zhao, Dengsheng Wu, Jianzhong Li
2026 A* conf
Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection.
AAAI
Yuxuan Hu, Jian Chen, Yuhao Wang, Zixuan Li, Jing Xiong, Pengyue Jia, Wei Wang, Chengming Li, Xiangyu Zhao
2026 J jnl
Enhancing Conversational Agents via Task-Oriented Adversarial Memory Adaptation.
CoRR
Yimin Deng, Yuqing Fu, Derong Xu, Yejing Wang, Wei Ni, Jingtong Gao, Xiaopeng Li, Chengxu Liu, Xiao Han, Guoshuai Zhao, Xiangyu Zhao, Li Zhu, Xueming Qian
2026 J jnl
Enhancing Cross-View UAV Geolocalization via LVLM-Driven Relational Modeling.
CoRR
Bowen Liu, Pengyue Jia, Wanyu Wang, Derong Xu, Jiawei Cheng, Jiancheng Dong, Xiao Han, Zimo Zhao, Chao Zhang, Bowen Yu, Fangyu Hong, Xiangyu Zhao
2026 J jnl
Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval.
CoRR
Yingyi Zhang, Junyi Li, Wenlin Zhang, Penyue Jia, Xianneng Li, Yichao Wang, Derong Xu, Yi Wen, Huifeng Guo, Yong Liu, Xiangyu Zhao
2026 — conf
Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing.
KDD (1)
Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2026 J jnl
Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing.
CoRR
Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2026 J jnl
From Failure to Mastery: Generating Hard Samples for Tool-use Agents.
CoRR
Bingguang Hao, Zengzhuang Xu, Yuntao Wen, Xinyi Xu, Yang Liu, Tong Zhao, Maolin Wang, Long Chen, Dong Wang, Yicheng Chen, Cunyin Peng, Xiangyu Zhao, Chenyi Zhuang, Ji Zhang
2026 J jnl
Function Calling in Large Language Models: Industrial Practices, Challenges, and Future Directions.
ACM Comput. Surv.
Maolin Wang, Yingyi Zhang, Bowen Yu, Bingguang Hao, Cunyin Peng, Yicheng Chen, Wei Zhou, Jinjie Gu, Chenyi Zhuang, Ruocheng Guo, Wanyu Wang, Xiangyu Zhao
2026 J jnl
GeoRouter: Dynamic Paradigm Routing for Worldwide Image Geolocalization.
CoRR
Pengyue Jia, Derong Xu, Yingyi Zhang, Xiaopeng Li, Wenlin Zhang, Yi Wen, Yuanshao Zhu, Xiangyu Zhao
2026 J jnl
How to Utilize Complementary Vision-Text Information for 2D Structure Understanding.
CoRR
Jiancheng Dong, Pengyue Jia, Derong Xu, Jiawei Cheng, Jingyu Peng, Chao Zhang, Bowen Liu, Xin Sun, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao
2026 J jnl
MOSAIC: Composable Safety Alignment with Modular Control Tokens.
CoRR
Jingyu Peng, Hongyu Chen, Jiancheng Dong, Maolin Wang, Wenxi Li, Yuchen Li, Kai Zhang, Xiangyu Zhao
2026 A* conf
NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations.
WWW
Yejing Wang, Shengyu Zhou, Jinyu Lu, Ziwei Liu, Langming Liu, Maolin Wang, Wenlin Zhang, Feng Li, Wenbo Su, Pengjie Wang, Jian Xu, Xiangyu Zhao
2026 J jnl
PRISM: Purified Representation and Integrated Semantic Modeling for Generative Sequential Recommendation.
CoRR
Dengzhao Fang, Jingtong Gao, Yu Li, Xiangyu Zhao, Yi Chang
2026 A* conf
Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval.
AAAI
Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Xianneng Li, Yichao Wang, Wenlin Zhang, Xiaopeng Li, Weinan Gan, Huifeng Guo, Yong Liu, Xiangyu Zhao
2026 J jnl
Reasoning Pattern Alignment Merging for Adaptive Reasoning.
CoRR
Zhaofeng Zhong, Wei Yuan, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 A* conf
Renormalization Group Guided Tensor Network Structure Search.
AAAI
Maolin Wang, Bowen Yu, Sheng Zhang, Linjie Mi, Wanyu Wang, Yiqi Wang, Pengyue Jia, Xuetao Wei, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2026 A* conf
RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models.
AAAI
Dayan Pan, Jingyuan Wang, Yilong Zhou, Jiawei Cheng, Pengyue Jia, Xiangyu Zhao
2026 A* conf
SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation.
WWW
Maolin Wang, Tongshu Bian, Ziyan Wang, Xiaotong Jiang, Binhao Wang, Derong Xu, Wanyu Wang, Ruocheng Guo, Xiangyu Zhao
2026 J jnl
Sparse Gradient Training for Recommender Systems.
Data Sci. Eng.
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin
2026 A* conf
To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention.
WWW
Wenlin Zhang, Kuicai Dong, Junyi Li, Yingyi Zhang, Xiaopeng Li, Pengyue Jia, Yi Wen, Derong Xu, Maolin Wang, Yichao Wang, Yong Liu, Xiangyu Zhao
2026 J jnl
To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention.
CoRR
Wenlin Zhang, Kuicai Dong, Junyi Li, Yingyi Zhang, Xiaopeng Li, Pengyue Jia, Yi Wen, Derong Xu, Maolin Wang, Yichao Wang, Yong Liu, Xiangyu Zhao
2026 J jnl
Towards On-device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model.
ACM Trans. Intell. Syst. Technol.
Zhaofeng Zhong, Wei Yuan, Liang Qu, Tong Chen, Hao Wang, Xiangyu Zhao, Hongzhi Yin
2026 J jnl
When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study.
CoRR
Shutong Qiao, Wei Yuan, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation.
ACM Trans. Inf. Syst.
Qidong Liu, Zhaopeng Qiu, Xiangyu Zhao, Xian Wu, Zijian Zhang, Tong Xu, Feng Tian
2025 J jnl
A Dataset for Spatiotemporal-Sensitive POI Question Answering.
CoRR
Xiao Han, Dayan Pan, Xiangyu Zhao, Xuyuan Hu, Zhaolin Deng, Xiangjie Kong, Guojiang Shen
2025 — conf
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs.
ACL (Findings)
Yimin Deng, Yuxia Wu, Yejing Wang, Guoshuai Zhao, Li Zhu, Qidong Liu, Derong Xu, Zichuan Fu, Xian Wu, Yefeng Zheng, Xiangyu Zhao, Xueming Qian
2025 J jnl
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs.
CoRR
Yimin Deng, Yuxia Wu, Yejing Wang, Guoshuai Zhao, Li Zhu, Qidong Liu, Derong Xu, Zichuan Fu, Xian Wu, Yefeng Zheng, Xiangyu Zhao, Xueming Qian
2025 J jnl
A Survey of Personalization: From RAG to Agent.
CoRR
Xiaopeng Li, Pengyue Jia, Derong Xu, Yi Wen, Yingyi Zhang, Wenlin Zhang, Wanyu Wang, Yichao Wang, Zhaocheng Du, Xiangyang Li, Yong Liu, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 J jnl
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models.
ACM Trans. Inf. Syst.
Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang
2025 — conf
AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration.
ACL (3)
Minjiang Huang, Jipeng Qiang, Yi Zhu, Chaowei Zhang, Xiangyu Zhao, Kui Yu
2025 J jnl
AdaSwitch: Adaptive Switching Generation for Knowledge Distillation.
CoRR
Jingyu Peng, Maolin Wang, Hengyi Cai, Yuchen Li, Kai Zhang, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao
2025 J jnl
Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-Agent LLMs.
ACM Trans. Inf. Syst.
Xiaopeng Li, Lixin Su, Pengyue Jia, Suqi Cheng, Junfeng Wang, Dawei Yin, Xiangyu Zhao
2025 A* conf
AgentIR: 2nd Workshop on Agent-based Information Retrieval.
SIGIR
Pengyue Jia, Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2025 J jnl
Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation.
CoRR
Derong Xu, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Maolin Wang, Qidong Liu, Xiangyu Zhao, Yichao Wang, Huifeng Guo, Ruiming Tang, Enhong Chen, Tong Xu
2025 J jnl
An Adaptive Entire-Space Multi-Scenario Multi-Task Transfer Learning Model for Recommendations.
IEEE Trans. Knowl. Data Eng.
Qingqing Yi, Jingjing Tang, Xiangyu Zhao, Yujian Zeng, Zengchun Song, Jia Wu
2025 J jnl
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation.
CoRR
Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xiangyu Zhao, Xiuqiang He, Zhong Ming
2025 A* conf
Behavior Modeling Space Reconstruction for E-Commerce Search.
WWW
Yejing Wang, Chi Zhang, Xiangyu Zhao, Qidong Liu, Maolin Wang, Xuetao Wei, Zitao Liu, Xing Shi, Xudong Yang, Ling Zhong, Wei Lin
2025 J jnl
Behavior Modeling Space Reconstruction for E-Commerce Search.
CoRR
Yejing Wang, Chi Zhang, Xiangyu Zhao, Qidong Liu, Maolin Wang, Xuewei Tao, Zitao Liu, Xing Shi, Xudong Yang, Ling Zhong, Wei Lin
2025 J jnl
Behavior-Equivalent Token: Single-Token Replacement for Long Prompts in LLMs.
CoRR
Jiancheng Dong, Pengyue Jia, Jingyu Peng, Maolin Wang, Yuhao Wang, Lixin Su, Xin Sun, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao
2025 J jnl
BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations.
CoRR
Mengyang Ma, Xiaopeng Li, Wanyu Wang, Zhaocheng Du, Jingtong Gao, Pengyue Jia, Yuyang Ye, Yiqi Wang, Yunpeng Weng, Weihong Luo, Xiao Han, Xiangyu Zhao
2025 J jnl
Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization.
CoRR
Yuanshao Zhu, Xiangyu Zhao, Zijian Zhang, Xuetao Wei, James Jianqiao Yu
2025 A* conf
Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation.
SIGIR
Qidong Liu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Howard Zhong, Chong Chen, Xiang Li, Wei Huang, Feng Tian
2025 J jnl
Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation.
CoRR
Qidong Liu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Howard Zhong, Chong Chen, Xiang Li, Wei Huang, Feng Tian
2025 — conf
Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.
ACL (Findings)
Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Yichao Wang, Yuhao Wang, Qidong Liu, Maolin Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 A conf
Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation.
CIKM
Yue Que, Yingyi Zhang, Xiangyu Zhao, Chen Ma
2025 J jnl
Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation.
CoRR
Yue Que, Yingyi Zhang, Xiangyu Zhao, Chen Ma
2025 A conf
Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models.
CIKM
Dayan Pan, Zhaoyang Fu, Jingyuan Wang, Xiao Han, Yue Zhu, Xiangyu Zhao
2025 J jnl
Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models.
CoRR
Dayan Pan, Zhaoyang Fu, Jingyuan Wang, Xiao Han, Yue Zhu, Xiangyu Zhao
2025 J jnl
Cross-Task Collaborative Meta-Learning for Cold-Start Recommendations.
IEEE Trans. Knowl. Data Eng.
Yantong Du, Rui Chen, Qiaoyu Tan, Qilong Han, Shenjie Wang, Xiangyu Zhao
2025 A* conf
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation.
IJCAI
Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao
2025 J jnl
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation.
CoRR
Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao
2025 J jnl
Data Augmentation on Graphs: A Technical Survey.
ACM Comput. Surv.
Jiajun Zhou, Chenxuan Xie, Shengbo Gong, Zhenyu Wen, Xiangyu Zhao, Qi Xuan, Xiaoniu Yang
2025 J jnl
Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning.
CoRR
Xiao Han, Zimo Zhao, Wanyu Wang, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao
2025 J jnl
Deep Research: A Survey of Autonomous Research Agents.
CoRR
Wenlin Zhang, Xiaopeng Li, Yingyi Zhang, Pengyue Jia, Yichao Wang, Huifeng Guo, Yong Liu, Xiangyu Zhao
2025 J jnl
Democratic Recommendation with User and Item Representatives Produced by Graph Condensation.
CoRR
Jiahao Liang, Haoran Yang, Xiangyu Zhao, Zhiwen Yu, Guandong Xu, Wanyu Wang, Kaixiang Yang
2025 — conf
DimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation.
KDD (1)
Chi Zhang, Qilong Han, Qiaoyu Tan, Shengjie Wang, Xiangyu Zhao, Rui Chen
2025 J jnl
DragOSM: Extract Building Roofs and Footprints from Aerial Images by Aligning Historical Labels.
CoRR
Kai Li, Xingxing Weng, Yupeng Deng, Yu Meng, Chao Pang, Gui-Song Xia, Xiangyu Zhao
2025 J jnl
Dual Knowledge-Enhanced Two-Stage Reasoner for Multimodal Dialog Systems.
CoRR
Xiaolin Chen, Xuemeng Song, Haokun Wen, Weili Guan, Xiangyu Zhao, Liqiang Nie
2025 J jnl
Dual Test-Time Training for Out-of-Distribution Recommender System.
IEEE Trans. Knowl. Data Eng.
Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian
2025 A conf
ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph.
CIKM
Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Xiangyu Zhao, Bo Zheng
2025 J jnl
Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection.
CoRR
Yuxuan Hu, Jian Chen, Yuhao Wang, Zixuan Li, Jing Xiong, Pengyue Jia, Wei Wang, Chengming Li, Xiangyu Zhao
2025 A conf
Empowering Denoising Sequential Recommendation with Large Language Model Embeddings.
CIKM
Tongzhou Wu, Yuhao Wang, Maolin Wang, Chi Zhang, Xiangyu Zhao
2025 J jnl
Empowering Denoising Sequential Recommendation with Large Language Model Embeddings.
CoRR
Tongzhou Wu, Yuhao Wang, Maolin Wang, Chi Zhang, Xiangyu Zhao
2025 A conf
Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs.
CIKM
Yuhao Wang, Junwei Pan, Xinhang Li, Maolin Wang, Yuan Wang, Yue Liu, Dapeng Liu, Jie Jiang, Xiangyu Zhao
2025 J jnl
Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs.
CoRR
Yuhao Wang, Junwei Pan, Xinhang Li, Maolin Wang, Yuan Wang, Yue Liu, Dapeng Liu, Jie Jiang, Xiangyu Zhao
2025 J jnl
Enhancing clinical documentation with voice processing and large language models: a study on the LAOS system.
npj Digit. Medicine
Yupeng Xu, Huixun Jia, Maolin Wang, Jie Feng, Xun Xu, Haiyan Wang, Jieqiong Chen, Zheng Zheng, Xiaoyan Yang, Yue Shen, Jian Wang, Chenyi Zhuang, Peng Wei, Ruocheng Guo, Xiangyu Zhao, Junxiang Fan, Xiaodong Sun
2025 A* conf
FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval.
SIGIR
Bohan Hou, Haoqiang Lin, Xuemeng Song, Haokun Wen, Meng Liu, Yupeng Hu, Xiangyu Zhao
2025 A* conf
Flow Matching Based Sequential Recommender Model.
IJCAI
Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li
2025 J jnl
Flow Matching based Sequential Recommender Model.
CoRR
Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li
2025 J jnl
From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval.
CoRR
Jian Jia, Jingtong Gao, Ben Xue, Junhao Wang, Qingpeng Cai, Quan Chen, Xiangyu Zhao, Peng Jiang, Kun Gai
2025 J jnl
FunReason-MT Technical Report: Overcoming the Complexity Barrier in Multi-Turn Function Calling.
CoRR
Zengzhuang Xu, Bingguang Hao, Zechuan Wang, Yuntao Wen, Maolin Wang, Yang Liu, Long Chen, Dong Wang, Yicheng Chen, Cunyin Peng, Chenyi Zhuang, Jinjie Gu, Leilei Gan, Xiangyu Zhao, Shi Gu
2025 J jnl
FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement.
CoRR
Bingguang Hao, Maolin Wang, Zengzhuang Xu, Cunyin Peng, Yicheng Chen, Xiangyu Zhao, Jinjie Gu, Chenyi Zhuang
2025 A* conf
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching.
AAAI
Xiao Han, Zijian Zhang, Xiangyu Zhao, Yuanshao Zhu, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye
2025 J jnl
GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks.
CoRR
Yejing Wang, Shengyu Zhou, Jinyu Lu, Qidong Liu, Xinhang Li, Wenlin Zhang, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng, Xiangyu Zhao
2025 — conf
GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems.
KDD (1)
Sheng Zhang, Maolin Wang, Wanyu Wang, Jingtong Gao, Xiangyu Zhao, Yu Yang, Xuetao Wei, Zitao Liu, Tong Xu
2025 J jnl
Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner.
CoRR
Yewen Li, Jingtong Gao, Nan Jiang, Shuai Mao, Ruyi An, Fei Pan, Xiangyu Zhao, Bo An, Qingpeng Cai, Peng Jiang
2025 A* conf
Generative Auto-Bidding with Value-Guided Explorations.
SIGIR
Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Peng Jiang, Kun Gai, Bo An, Xiangyu Zhao
2025 J jnl
Generative Auto-Bidding with Value-Guided Explorations.
CoRR
Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Kun Gai, Bo An, Xiangyu Zhao
2025 J jnl
GeoArena: An Open Platform for Benchmarking Large Vision-language Models on WorldWide Image Geolocalization.
CoRR
Pengyue Jia, Yingyi Zhang, Xiangyu Zhao, Yixuan Li
2025 J jnl
GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization.
CoRR
Pengyue Jia, Seongheon Park, Song Gao, Xiangyu Zhao, Yixuan Li
2025 A* conf
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation.
AAAI
Derong Xu, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu, Enhong Chen
2025 J jnl
HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs.
CoRR
Dengzhao Fang, Jingtong Gao, Chengcheng Zhu, Yu Li, Xiangyu Zhao, Yi Chang
2025 J jnl
Joint Modeling in Recommendations: A Survey.
CoRR
Xiangyu Zhao, Yichao Wang, Bo Chen, Jingtong Gao, Yuhao Wang, Xiaopeng Li, Pengyue Jia, Qidong Liu, Huifeng Guo, Ruiming Tang
2025 J jnl
LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training.
CoRR
Ziwei Liu, Qidong Liu, Wanyu Wang, Yejing Wang, Tong Xu, Wei Huang, Chong Chen, Peng Chuan, Xiangyu Zhao
2025 A* conf
LLM-Powered User Simulator for Recommender System.
AAAI
Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang
2025 A* conf
LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations.
WWW
Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Wanyu Wang, Huifeng Guo, Ruiming Tang
2025 A* conf
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation.
AAAI
Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng
2025 B conf
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations.
COLING
Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2025 — conf
LLMs Trust Humans More, That's a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation.
ACL (1)
Yuxuan Li, Xinwei Guo, Jiashi Gao, Guanhua Chen, Xiangyu Zhao, Jiaxin Zhang, Quanying Liu, Haiyan Wu, Xin Yao, Xuetao Wei
2025 — conf
LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.
KDD (2)
Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao
2025 J jnl
LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.
CoRR
Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao
2025 J jnl
Large Language Model Enhanced Graph Invariant Contrastive Learning for Out-of-Distribution Recommendation.
CoRR
Jiahao Liang, Haoran Yang, Xiangyu Zhao, Zhiwen Yu, Mianjie Li, Chuan Shi, Kaixiang Yang
2025 — conf
Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends.
KDD (2)
Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian
2025 — conf
Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision.
KDD (2)
Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xiao Han, Qidong Liu, Xuetao Wei, Yuxuan Liang
2025 J jnl
Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision.
CoRR
Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xiao Han, Qidong Liu, Xuetao Wei, Yuxuan Liang
2025 B conf
Learning from Spatio-Temporal Data in the LLM Era: Foundations, Models, and Emerging Trends.
SSTD
Zijian Zhang, Xiao Han, Xiangyu Zhao, Chenjuan Guo, Bin Yang
2025 J jnl
Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression.
CoRR
Jingyu Peng, Maolin Wang, Nan Wang, Xiangyu Zhao, Jiatong Li, Kai Zhang, Qi Liu
2025 J jnl
MTA: A Merge-then-Adapt Framework for Personalized Large Language Model.
CoRR
Xiaopeng Li, Yuanjin Zheng, Wanyu Wang, Wenlin Zhang, Pengyue Jia, Yiqi Wang, Maolin Wang, Xuetao Wei, Xiangyu Zhao
2025 — conf
Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation.
KDD (2)
Yi Wen, Yue Liu, Derong Xu, Huishi Luo, Pengyue Jia, Yiqing Wu, Siwei Wang, Ke Liang, Maolin Wang, Yiqi Wang, Fuzhen Zhuang, Xiangyu Zhao
2025 J jnl
Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation.
CoRR
Yi Wen, Yue Liu, Derong Xu, Huishi Luo, Pengyue Jia, Yiqing Wu, Siwei Wang, Ke Liang, Maolin Wang, Yiqi Wang, Fuzhen Zhuang, Xiangyu Zhao
2025 A* conf
MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-Tuning.
ICDE
Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Junhui Wang
2025 A* conf
Mitigating Stereotypes in Text-to-Image Generation: A Novel Perspective of Selective Neural Suppression.
ACM Multimedia
Junlei Zhou, Jiashi Gao, Xinwei Guo, Haiyan Wu, Quanying Liu, Xiangyu Zhao, Hongxin Wei, Xin Yao, Xuetao Wei
2025 — conf
Model Merging for Knowledge Editing.
ACL (6)
Zichuan Fu, Xian Wu, Guojing Li, Yingying Zhang, Yefeng Zheng, Tianshi Ming, Yejing Wang, Wanyu Wang, Xiangyu Zhao
2025 J jnl
Model Merging for Knowledge Editing.
CoRR
Zichuan Fu, Xian Wu, Guojing Li, Yingying Zhang, Yefeng Zheng, Tianshi Ming, Yejing Wang, Wanyu Wang, Xiangyu Zhao
2025 J jnl
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs.
ACM Trans. Inf. Syst.
Xi Zhu, Fake Lin, Ziwei Zhao, Tong Xu, Xiangyu Zhao, Zikai Yin, Xueying Li, Enhong Chen
2025 J jnl
Multi-agents based User Values Mining for Recommendation.
CoRR
Lijian Chen, Wei Yuan, Tong Chen, Xiangyu Zhao, Nguyen Quoc Viet Hung, Hongzhi Yin
2025 — conf
Multi-modal Recommendation with Joint Content and Interaction Augmentation.
MMAsia
Jiajie Deng, Haokun Wen, Xiao Han, Xuemeng Song, Xiangyu Zhao
2025 A* conf
Multi-scenario Instance Embedding Learning for Deep Recommender Systems.
SIGIR
Chaohua Yang, Dugang Liu, Xing Tang, Yuwen Fu, Xiuqiang He, Xiangyu Zhao, Zhong Ming
2025 — conf
Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems.
KDD (2)
Langming Liu, Wanyu Wang, Chi Zhang, Bo Li, Hongzhi Yin, Xuetao Wei, Wenbo Su, Bo Zheng, Xiangyu Zhao
2025 J jnl
Multimodal Recommender Systems: A Survey.
ACM Comput. Surv.
Qidong Liu, Jiaxi Hu, Yutian Xiao, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Qing Li, Jiliang Tang
2025 J jnl
NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations.
CoRR
Yejing Wang, Shengyu Zhou, Jinyu Lu, Ziwei Liu, Langming Liu, Maolin Wang, Wenlin Zhang, Feng Li, Wenbo Su, Pengjie Wang, Jian Xu, Xiangyu Zhao
2025 J jnl
Navigate the Unknown: Enhancing LLM Reasoning with Intrinsic Motivation Guided Exploration.
CoRR
Jingtong Gao, Ling Pan, Yejing Wang, Rui Zhong, Chi Lu, Qingpeng Cai, Peng Jiang, Xiangyu Zhao
2025 — conf
NoteLLM-2: Multimodal Large Representation Models for Recommendation.
KDD (1)
Chao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu, Tong Xu, Xiangyu Zhao, Yan Gao, Yao Hu, Enhong Chen
2025 J jnl
On Mitigating Data Sparsity in Conversational Recommender Systems.
CoRR
Sixiao Zhang, Mingrui Liu, Cheng Long, Wei Yuan, Hongxu Chen, Xiangyu Zhao, Hongzhi Yin
2025 A conf
PAnDA: Combating Negative Augmentation via Large Language Models for User Cold-Start Recommendations.
CIKM
Yantong Du, Rui Chen, Xiangyu Zhao, Qilong Han, A. K. Qin
2025 A* conf
POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning.
AAAI
Jiawei Cheng, Jingyuan Wang, Yichuan Zhang, Jiahao Ji, Yuanshao Zhu, Zhibo Zhang, Xiangyu Zhao
2025 J jnl
POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning.
CoRR
Jiawei Cheng, Jingyuan Wang, Yichuan Zhang, Jiahao Ji, Yuanshao Zhu, Zhibo Zhang, Xiangyu Zhao
2025 J jnl
Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval.
CoRR
Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Xianneng Li, Yichao Wang, Wenlin Zhang, Xiaopeng Li, Weinan Gan, Huifeng Guo, Yong Liu, Xiangyu Zhao
2025 J jnl
PolyFootNet: Extracting Polygonal Building Footprints in Off-Nadir Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Kai Li, Yupeng Deng, Jingbo Chen, Yu Meng, Zhihao Xi, Junxian Ma, Chenhao Wang, Maolin Wang, Xiangyu Zhao
2025 A* conf
Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models.
SIGIR
Yuhao Wang, Junwei Pan, Pengyue Jia, Wanyu Wang, Maolin Wang, Zhixiang Feng, Xiaotian Li, Jie Jiang, Xiangyu Zhao
2025 J jnl
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning.
CoRR
Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 A conf
Prompt Tuning as User Inherent Profile Inference Machine.
CIKM
Yusheng Lu, Zhaocheng Du, Xiangyang Li, Pengyue Jia, Yejing Wang, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan, Xiangyu Zhao
2025 — conf
Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework.
KDD (2)
Maolin Wang, Jun Chu, Sicong Xie, Xiaoling Zang, Yao Zhao, Wenliang Zhong, Xiangyu Zhao
2025 J jnl
Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework.
CoRR
Maolin Wang, Jun Chu, Sicong Xie, Xiaoling Zang, Yao Zhao, Wenliang Zhong, Xiangyu Zhao
2025 J jnl
Renormalization Group Guided Tensor Network Structure Search.
CoRR
Maolin Wang, Bowen Yu, Sheng Zhang, Linjie Mi, Wanyu Wang, Yiqi Wang, Pengyue Jia, Xuetao Wei, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2025 — conf
Rethinking Large Language Model Architectures for Sequential Recommendations.
IJCNLP-AACL (long papers)
Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Pratap Yadav, Fei Wang, Zhen Wen, Hui Liu
2025 J jnl
RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models.
CoRR
Dayan Pan, Jingyuan Wang, Yilong Zhou, Jiawei Cheng, Pengyue Jia, Xiangyu Zhao
2025 A conf
SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems.
CIKM
Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang
2025 A* conf
SIGMA: Selective Gated Mamba for Sequential Recommendation.
AAAI
Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao
2025 A conf
SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation.
CIKM
Binhao Wang, Yutian Xiao, Maolin Wang, Zhiqi Li, Tianshuo Wei, Ruocheng Guo, Xiangyu Zhao
2025 J jnl
SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation.
CoRR
Binhao Wang, Yutian Xiao, Maolin Wang, Zhiqi Li, Tianshuo Wei, Ruocheng Guo, Xiangyu Zhao
2025 A* conf
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation.
SIGIR
Maolin Wang, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu, Hongzhi Yin, Yi Chang, Xiangyu Zhao
2025 J jnl
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation.
CoRR
Maolin Wang, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu, Hongzhi Yin, Yi Chang, Xiangyu Zhao
2025 — conf
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.
WWW (Companion Volume)
Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 J jnl
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.
CoRR
Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 A conf
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.
CIKM
Xiaopeng Li, Jingtong Gao, Pengyue Jia, Xiangyu Zhao, Yichao Wang, Wanyu Wang, Yejing Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
2025 J jnl
Sliding Window Attention Training for Efficient Large Language Models.
CoRR
Zichuan Fu, Wentao Song, Yejing Wang, Xian Wu, Yefeng Zheng, Yingying Zhang, Derong Xu, Xuetao Wei, Tong Xu, Xiangyu Zhao
2025 — conf
Stepwise Reasoning Disruption Attack of LLMs.
ACL (1)
Jingyu Peng, Maolin Wang, Xiangyu Zhao, Kai Zhang, Wanyu Wang, Pengyue Jia, Qidong Liu, Ruocheng Guo, Qi Liu
2025 — conf
Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework.
KDD (2)
Xiao Han, Chen Zhu, Hengshu Zhu, Xiangyu Zhao
2025 Misc conf
TAPO: Task-Referenced Adaptation for Prompt Optimization.
ICASSP
Wenxin Luo, Weirui Wang, Xiaopeng Li, Weibo Zhou, Pengyue Jia, Xiangyu Zhao
2025 J jnl
TAPO: Task-Referenced Adaptation for Prompt Optimization.
CoRR
Wenxin Luo, Weirui Wang, Xiaopeng Li, Weibo Zhou, Pengyue Jia, Xiangyu Zhao
2025 J jnl
TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework.
CoRR
Chao Zhang, Yuhao Wang, Derong Xu, Haoxin Zhang, Yuanjie Lyu, Yuhao Chen, Shuochen Liu, Tong Xu, Xiangyu Zhao, Yan Gao, Yao Hu, Enhong Chen
2025 J jnl
The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation.
CoRR
Ziwei Liu, Yejing Wang, Qidong Liu, Zijian Zhang, Chong Chen, Wei Huang, Xiangyu Zhao
2025 — conf
The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing.
ACL (Findings)
Xinwei Guo, Jiashi Gao, Junlei Zhou, Jiaxin Zhang, Guanhua Chen, Xiangyu Zhao, Quanying Liu, Haiyan Wu, Xin Yao, Xuetao Wei
2025 J jnl
Towards Multi-Granularity Memory Association and Selection for Long-Term Conversational Agents.
CoRR
Derong Xu, Yi Wen, Pengyue Jia, Yingyi Zhang, Wenlin Zhang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao, Enhong Chen, Tong Xu
2025 J jnl
Towards On-Device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model.
CoRR
Zhaofeng Zhong, Wei Yuan, Liang Qu, Tong Chen, Hao Wang, Xiangyu Zhao, Hongzhi Yin
2025 A* conf
Towards Propagation-Aware Representation Learning for Supervised Social Media Graph Analytics.
ICDM
Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
Towards Propagation-aware Representation Learning for Supervised Social Media Graph Analytics.
CoRR
Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 — conf
Training-free LLM Merging for Multi-task Learning.
ACL (1)
Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao
2025 J jnl
Training-free LLM Merging for Multi-task Learning.
CoRR
Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao
2025 A conf
Trustworthy Knowledge Discovery and Data Mining (TrustKDD).
CIKM
Le Wu, Jindong Wang, Ling Chen, Xiangyu Zhao, Kui Yu, Yashar Deldjoo, Defu Lian
2025 J jnl
Uniform Graph Pre-training and Prompting for Transferable Recommendation.
ACM Trans. Inf. Syst.
Qing Yu, Lixin Zou, Xiangyang Luo, Xiangyu Zhao, Chenliang Li
2025 A* conf
ZeroED: Hybrid Zero-Shot Error Detection Through Large Language Model Reasoning.
ICDE
Wei Ni, Kaihang Zhang, Xiaoye Miao, Xiangyu Zhao, Yangyang Wu, Yaoshu Wang, Jianwei Yin
2025 J jnl
ZeroED: Hybrid Zero-shot Error Detection through Large Language Model Reasoning.
CoRR
Wei Ni, Kaihang Zhang, Xiaoye Miao, Xiangyu Zhao, Yangyang Wu, Yaoshu Wang, Jianwei Yin
2024 J jnl
A Comprehensive Survey on Automated Machine Learning for Recommendations.
Trans. Recomm. Syst.
Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
2024 J jnl
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation.
CoRR
Qidong Liu, Zhaopeng Qiu, Xiangyu Zhao, Xian Wu, Zijian Zhang, Tong Xu, Feng Tian
2024 A* conf
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning.
KDD
Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu
2024 J jnl
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning.
CoRR
Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu
2024 J jnl
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation.
CoRR
Xinjian Zhao, Liang Zhang, Yang Liu, Ruocheng Guo, Xiangyu Zhao
2024 A* conf
AgentIR: 1st Workshop on Agent-based Information Retrieval.
SIGIR
Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2024 J jnl
AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems.
CoRR
Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang
2024 A* conf
Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation.
NeurIPS
Junlei Zhou, Jiashi Gao, Xiangyu Zhao, Xin Yao, Xuetao Wei
2024 J jnl
AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation.
Knowl. Inf. Syst.
Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 J jnl
Automatic Data Repair: Are We Ready to Deploy?
Proc. VLDB Endow.
Wei Ni, Xiaoye Miao, Xiangyu Zhao, Yangyang Wu, Shuwei Liang, Jianwei Yin
2024 A* conf
Bi-Level User Modeling for Deep Recommenders.
ICDM
Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, Qidong Liu
2024 J jnl
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation.
CoRR
Jiaxi Hu, Jingtong Gao, Xiangyu Zhao, Yuehong Hu, Yuxuan Liang, Yiqi Wang, Ming He, Zitao Liu, Hongzhi Yin
2024 J jnl
Bidirectional Gated Mamba for Sequential Recommendation.
CoRR
Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao
2024 J jnl
Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.
CoRR
Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Yichao Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
2024 A* conf
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model.
KDD
Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
2024 J jnl
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model.
CoRR
Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
2024 J jnl
Cumulative Distribution Function based General Temporal Point Processes.
CoRR
Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu
2024 A* conf
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations.
AAAI
Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 A conf
DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems.
RecSys
Sheng Zhang, Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Zijian Zhang, Hongzhi Yin
2024 A conf
Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation.
WSDM
Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang
2024 A* conf
Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors.
NeurIPS
Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao, Xuetao Wei
2024 J jnl
Dual Test-time Training for Out-of-distribution Recommender System.
CoRR
Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian
2024 J jnl
EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems.
CoRR
Sheng Zhang, Maolin Wang, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao, Zijian Zhang, Hongzhi Yin
2024 A* conf
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.
KDD
Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
2024 J jnl
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.
CoRR
Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
2024 A conf
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.
CIKM
Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng
2024 J jnl
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.
CoRR
Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
2024 A conf
Efficient and Robust Regularized Federated Recommendation.
CIKM
Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li
2024 J jnl
Efficient and Robust Regularized Federated Recommendation.
CoRR
Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li
2024 A* conf
Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases.
IJCAI
Xueyi Li, Youheng Bai, Teng Guo, Zitao Liu, Yaying Huang, Xiangyu Zhao, Feng Xia, Weiqi Luo, Jian Weng
2024 A* conf
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models.
NeurIPS
Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin
2024 J jnl
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models.
CoRR
Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin
2024 J jnl
GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems.
CoRR
Sheng Zhang, Maolin Wang, Xiangyu Zhao
2024 J jnl
GPRec: Bi-level User Modeling for Deep Recommenders.
CoRR
Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, Qidong Liu
2024 J jnl
GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching.
CoRR
Xiao Han, Zijian Zhang, Xiangyu Zhao, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye
2024 A* conf
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification.
ICML
Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao
2024 J jnl
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation.
CoRR
Derong Xu, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu, Enhong Chen
2024 A conf
HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations.
CIKM
Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
2024 — conf
IterClean: An Iterative Data Cleaning Framework with Large Language Models.
ACM TUR-C
Wei Ni, Kaihang Zhang, Xiaoye Miao, Xiangyu Zhao, Yangyang Wu, Jianwei Yin
2024 A* conf
KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation.
IJCAI
Yinghui Liu, Guojiang Shen, Chengyong Cui, Zhenzhen Zhao, Xiao Han, Jiaxin Du, Xiangyu Zhao, Xiangjie Kong
2024 J jnl
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning.
CoRR
Haoran Yang, Xiangyu Zhao, Sirui Huang, Qing Li, Guandong Xu
2024 A* conf
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation.
NeurIPS
Qidong Liu, Xian Wu, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng, Xiangyu Zhao
2024 J jnl
LLM-Powered User Simulator for Recommender System.
CoRR
Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang
2024 J jnl
LLM-enhanced Reranking in Recommender Systems.
CoRR
Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang
2024 A conf
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.
CIKM
Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 J jnl
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.
CoRR
Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 J jnl
Large Language Model Distilling Medication Recommendation Model.
CoRR
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Zijian Zhang, Feng Tian, Yefeng Zheng
2024 J jnl
Large Language Model Empowered Embedding Generator for Sequential Recommendation.
CoRR
Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng
2024 J jnl
Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future.
CoRR
Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian
2024 J jnl
Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item.
CoRR
Qidong Liu, Xian Wu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng
2024 — conf
Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation.
WWW (Companion Volume)
Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao
2024 J jnl
Large language models for generative information extraction: a survey.
Frontiers Comput. Sci.
Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Yang Wang, Enhong Chen
2024 J jnl
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems.
CoRR
Langming Liu, Xiangyu Zhao, Chi Zhang, Jingtong Gao, Wanyu Wang, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li
2024 A* conf
M
SIGIR
Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
2024 J jnl
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.
CoRR
Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
2024 — conf
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion.
NAACL-HLT
Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin
2024 — conf
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding.
EMNLP (Findings)
Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
2024 J jnl
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding.
CoRR
Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
2024 J jnl
Mobile Trajectory Anomaly Detection: Taxonomy, Methodology, Challenges, and Directions.
IEEE Internet Things J.
Xiangjie Kong, Juntao Wang, Zehao Hu, Yuwei He, Xiangyu Zhao, Guojiang Shen
2024 A* conf
Modeling User Retention through Generative Flow Networks.
KDD
Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang
2024 J jnl
Modeling User Retention through Generative Flow Networks.
CoRR
Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang
2024 J jnl
Multi-Level Graph Knowledge Contrastive Learning.
IEEE Trans. Knowl. Data Eng.
Haoran Yang, Yuhao Wang, Xiangyu Zhao, Hongxu Chen, Hongzhi Yin, Qing Li, Guandong Xu
2024 — conf
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models.
LREC/COLING
Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
2024 J jnl
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models.
CoRR
Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
2024 A conf
Multi-turn Classroom Dialogue Dataset: Assessing Student Performance from One-on-one Conversations.
CIKM
Jiahao Chen, Zitao Liu, Mingliang Hou, Xiangyu Zhao, Weiqi Luo
2024 A conf
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems.
WSDM
Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao
2024 A* conf
OpenSiteRec: An Open Dataset for Site Recommendation.
SIGIR
Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing
2024 A* conf
Optimal Transport Enhanced Cross-City Site Recommendation.
SIGIR
Xinhang Li, Xiangyu Zhao, Zihao Wang, Yang Duan, Yong Zhang, Chunxiao Xing
2024 J jnl
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning.
CoRR
Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao, Xuetao Wei
2024 J jnl
Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models.
CoRR
Yuhao Wang, Junwei Pan, Xiangyu Zhao, Pengyue Jia, Wanyu Wang, Yuan Wang, Yue Liu, Dapeng Liu, Jie Jiang
2024 J jnl
Prompt Tuning as User Inherent Profile Inference Machine.
CoRR
Yusheng Lu, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan
2024 J jnl
Recommender Systems in the Era of Large Language Models (LLMs).
IEEE Trans. Knowl. Data Eng.
Zihuai Zhao, Wenqi Fan, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Zhen Wen, Fei Wang, Xiangyu Zhao, Jiliang Tang, Qing Li
2024 J jnl
Rethinking Large Language Model Architectures for Sequential Recommendations.
CoRR
Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Yadav, Fei Wang, Zhen Wen, Jiliang Tang, Hui Liu
2024 J jnl
SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations.
ACM Trans. Inf. Syst.
Jingtong Gao, Xiangyu Zhao, Muyang Li, Minghao Zhao, Runze Wu, Ruocheng Guo, Yiding Liu, Dawei Yin
2024 A* conf
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation.
ICDE
Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song
2024 J jnl
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation.
CoRR
Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song
2024 A conf
Scalable Dynamic Embedding Size Search for Streaming Recommendation.
CIKM
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Scalable Dynamic Embedding Size Search for Streaming Recommendation.
CoRR
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval.
CoRR
Suyuan Huang, Chao Zhang, Yuanyuan Wu, Haoxin Zhang, Yuan Wang, Maolin Wang, Shaosheng Cao, Tong Xu, Xiangyu Zhao, Zengchang Qin, Yan Gao, Yunhan Bai, Jun Fan, Yao Hu, Enhong Chen
2024 A* conf
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention.
SIGIR
Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai
2024 J jnl
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention.
CoRR
Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai
2024 J jnl
Sparser Training for On-Device Recommendation Systems.
CoRR
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin
2024 J jnl
Stepwise Reasoning Error Disruption Attack of LLMs.
CoRR
Jingyu Peng, Maolin Wang, Xiangyu Zhao, Kai Zhang, Wanyu Wang, Pengyue Jia, Qidong Liu, Ruocheng Guo, Qi Liu
2024 — conf
Surviving in Diverse Biases: Unbiased Dataset Acquisition in Online Data Market for Fair Model Training.
AIES (1)
Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao, Xuetao Wei
2024 J jnl
Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework.
CoRR
Xiao Han, Chen Zhu, Xiangyu Zhao, Hengshu Zhu
2024 J jnl
SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval.
CoRR
Xiaopeng Li, Xiangyang Li, Hao Zhang, Zhaocheng Du, Pengyue Jia, Yichao Wang, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 J jnl
Tackling Data Heterogeneity in Federated Time Series Forecasting.
CoRR
Wei Yuan, Guanhua Ye, Xiangyu Zhao, Quoc Viet Hung Nguyen, Yang Cao, Hongzhi Yin
2024 J jnl
Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing.
IEEE Trans. Knowl. Data Eng.
Hao Miao, Xiaolong Zhong, Jiaxin Liu, Yan Zhao, Xiangyu Zhao, Weizhu Qian, Kai Zheng, Christian S. Jensen
2024 A conf
Tensorized Hypergraph Neural Networks.
SDM
Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2024 — conf
The 2nd Workshop on Recommendation with Generative Models.
WWW (Companion Volume)
Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
2024 J jnl
The 2nd Workshop on Recommendation with Generative Models.
CoRR
Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
2024 J jnl
Tired of Plugins? Large Language Models Can Be End-To-End Recommenders.
CoRR
Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 J jnl
Towards Robust Knowledge Tracing Models via k-Sparse Attention.
CoRR
Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng
2024 J jnl
UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces.
CoRR
Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xuetao Wei, Yuxuan Liang
2024 A* conf
Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models.
NeurIPS
Ziyi Zhou, Xinwei Guo, Jiashi Gao, Xiangyu Zhao, Shiyao Zhang, Xin Yao, Xuetao Wei
2024 A* conf
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications.
SIGIR
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng
2023 J jnl
A General Neural Causal Model for Interactive Recommendation.
CoRR
Jialin Liu, Xinyan Su, Peng Zhou, Xiangyu Zhao, Jun Li
2023 J jnl
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models.
CoRR
Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang
2023 J jnl
Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles.
IEEE Trans. Knowl. Data Eng.
Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang
2023 J jnl
Adversarial Batch Inverse Reinforcement Learning: Learn to Reward from Imperfect Demonstration for Interactive Recommendation.
CoRR
Jialin Liu, Xinyan Su, Zeyu He, Xiangyu Zhao, Jun Li
2023 J jnl
Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM.
CoRR
Xiaopeng Li, Lixin Su, Pengyue Jia, Xiangyu Zhao, Suqi Cheng, Junfeng Wang, Dawei Yin
2023 A* conf
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations.
NeurIPS
Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu
2023 A conf
Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue.
CIKM
Jiahao Chen, Zitao Liu, Shuyan Huang, Yaying Huang, Xiangyu Zhao, Boyu Gao, Weiqi Luo
2023 J jnl
AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation.
CoRR
Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2023 A* conf
AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression.
SIGIR
Xin Gan, Yuhao Wang, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu
2023 A* conf
AutoDenoise: Automatic Data Instance Denoising for Recommendations.
WWW
Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang
2023 J jnl
AutoDenoise: Automatic Data Instance Denoising for Recommendations.
CoRR
Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang
2023 A conf
AutoGen: An Automated Dynamic Model Generation Framework for Recommender System.
WSDM
Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang
2023 A conf
AutoML for Deep Recommender Systems: Fundamentals and Advances.
WSDM
Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao
2023 A* conf
AutoMLP: Automated MLP for Sequential Recommendations.
WWW
Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo
2023 J jnl
AutoMLP: Automated MLP for Sequential Recommendations.
CoRR
Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo
2023 A* conf
AutoSTL: Automated Spatio-Temporal Multi-Task Learning.
AAAI
Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
2023 J jnl
AutoSTL: Automated Spatio-Temporal Multi-Task Learning.
CoRR
Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
2023 A* conf
AutoTransfer: Instance Transfer for Cross-Domain Recommendations.
SIGIR
Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang
2023 J jnl
Automatic Data Repair: Are We Ready to Deploy?
CoRR
Wei Ni, Xiaoye Miao, Xiangyu Zhao, Yangyang Wu, Jianwei Yin
2023 A* conf
Continuous Input Embedding Size Search For Recommender Systems.
SIGIR
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
2023 J jnl
Continuous Input Embedding Size Search For Recommender Systems.
CoRR
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
2023 A conf
Counterfactual Adversarial Learning for Recommendation.
CIKM
Jialin Liu, Zijian Zhang, Xiangyu Zhao, Jun Li
2023 A conf
DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval.
CIKM
Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2023 A* conf
Denoising and Prompt-Tuning for Multi-Behavior Recommendation.
WWW
Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li
2023 J jnl
Denoising and Prompt-Tuning for Multi-Behavior Recommendation.
CoRR
Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li
2023 A* conf
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model.
NeurIPS
Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, James Yu
2023 A conf
Diffusion Augmentation for Sequential Recommendation.
CIKM
Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
2023 J jnl
Diffusion Augmentation for Sequential Recommendation.
CoRR
Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
2023 J jnl
Diffusion Model for GPS Trajectory Generation.
CoRR
Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu
2023 A* conf
Doctor Specific Tag Recommendation for Online Medical Record Management.
KDD
Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng
2023 J jnl
E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation.
CoRR
Xinhang Li, Chong Chen, Xiangyu Zhao, Yong Zhang, Chunxiao Xing
2023 J jnl
Embedding in Recommender Systems: A Survey.
CoRR
Xiangyu Zhao, Maolin Wang, Xinjian Zhao, Jiansheng Li, Shucheng Zhou, Dawei Yin, Qing Li, Jiliang Tang, Ruocheng Guo
2023 J jnl
Enhancing Traffic Prediction with Learnable Filter Module.
CoRR
Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu
2023 A* conf
Exploration and Regularization of the Latent Action Space in Recommendation.
WWW
Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang
2023 J jnl
Exploration and Regularization of the Latent Action Space in Recommendation.
CoRR
Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Kun Gai, Peng Jiang, Xiangyu Zhao, Yongfeng Zhang
2023 A* conf
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.
ICDM
Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2023 J jnl
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.
CoRR
Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2023 A* conf
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.
WWW
Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu
2023 A conf
HAMUR: Hyper Adapter for Multi-Domain Recommendation.
CIKM
Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2023 J jnl
HAMUR: Hyper Adapter for Multi-Domain Recommendation.
CoRR
Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2023 J jnl
IFedRec: Item-Guided Federated Aggregation for Cold-Start.
CoRR
Chunxu Zhang, Guodong Long, Tianyi Zhou, Xiangyu Zhao, Zijian Zhang, Bo Yang
2023 A* conf
IMF: Interactive Multimodal Fusion Model for Link Prediction.
WWW
Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing
2023 J jnl
IMF: Interactive Multimodal Fusion Model for Link Prediction.
CoRR
Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing
2023 J jnl
Interaction-aware Drug Package Recommendation via Policy Gradient.
ACM Trans. Inf. Syst.
Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen
2023 A conf
International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023.
RecSys
Ruiming Tang, Xiaoqiang Zhu, Junfeng Ge, Kuang-Chih Lee, Biye Jiang, Xingxing Wang, Han Zhu, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang, Xiangyu Zhao
2023 A* conf
KuaiSim: A Comprehensive Simulator for Recommender Systems.
NeurIPS
Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai
2023 J jnl
KuaiSim: A Comprehensive Simulator for Recommender Systems.
CoRR
Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai
2023 J jnl
Large Language Models for Generative Information Extraction: A Survey.
CoRR
Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Enhong Chen
2023 J jnl
Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup.
CoRR
Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao
2023 A* conf
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems.
SIGIR
Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li
2023 J jnl
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion.
CoRR
Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin
2023 A conf
MLPST: MLP is All You Need for Spatio-Temporal Prediction.
CIKM
Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao
2023 J jnl
MLPST: MLP is All You Need for Spatio-Temporal Prediction.
CoRR
Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao
2023 A* conf
MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations.
WWW
Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu
2023 J jnl
MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications.
CoRR
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng
2023 A* conf
Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning.
KDD
Xiao Han, Xiangyu Zhao, Liang Zhang, Wanyu Wang
2023 J jnl
Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning.
Inf. Sci.
Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu
2023 J jnl
Multi-Task Deep Recommender Systems: A Survey.
CoRR
Yuhao Wang, Ha Tsz Lam, Yi Wong, Ziru Liu, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2023 A* conf
Multi-Task Recommendations with Reinforcement Learning.
WWW
Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai
2023 J jnl
Multi-Task Recommendations with Reinforcement Learning.
CoRR
Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai
2023 J jnl
Multimodal Recommender Systems: A Survey.
CoRR
Qidong Liu, Jiaxi Hu, Yutian Xiao, Jingtong Gao, Xiangyu Zhao
2023 J jnl
On the Opportunities of Green Computing: A Survey.
CoRR
You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng
2023 J jnl
OpenSiteRec: An Open Dataset for Site Recommendation.
CoRR
Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing
2023 A* conf
PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations.
SIGIR
Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang
2023 A conf
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction.
CIKM
Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu
2023 J jnl
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction.
CoRR
Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu
2023 A conf
REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning.
CIKM
Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Yong Zhang, Chunxiao Xing, Xian Wu
2023 A conf
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting.
CIKM
Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang
2023 J jnl
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting.
CoRR
Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang
2023 B conf
SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners.
ITS
Qiongqiong Liu, Yaying Huang, Zitao Liu, Shuyan Huang, Jiahao Chen, Xiangyu Zhao, Guimin Lin, Yuyu Zhou, Weiqi Luo
2023 A conf
STRec: Sparse Transformer for Sequential Recommendations.
RecSys
Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li
2023 J jnl
Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation.
CoRR
Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
2023 A* conf
Single-shot Feature Selection for Multi-task Recommendations.
SIGIR
Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong
2023 A* conf
SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis.
NeurIPS
Yuanshao Zhu, Yongchao Ye, Ying Wu, Xiangyu Zhao, James Jian Qiao Yu
2023 J jnl
Tensorized Hypergraph Neural Networks.
CoRR
Maolin Wang, Yaoming Zhen, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2023 A conf
Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning.
CIKM
Xinhang Li, Xiangyu Zhao, Yong Zhang, Chunxiao Xing
2023 A* conf
Towards Robust Knowledge Tracing Models via k-Sparse Attention.
SIGIR
Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng
2023 A* conf
Trustworthy Recommender Systems: Foundations and Frontiers.
KDD
Wenqi Fan, Xiangyu Zhao, Lin Wang, Xiao Chen, Jingtong Gao, Qidong Liu, Shijie Wang
2023 — conf
Tutorials at The Web Conference 2023.
WWW (Companion Volume)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2023 A* conf
User Retention-oriented Recommendation with Decision Transformer.
WWW
Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin
2023 J jnl
User Retention-oriented Recommendation with Decision Transformer.
CoRR
Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin
2023 A* conf
XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information.
NeurIPS
Zitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen, Shuyan Huang, Xiangyu Zhao, Jiliang Tang, Weiqi Luo, Jian Weng
2022 J jnl
A Comprehensive Survey on Trustworthy Recommender Systems.
CoRR
Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li
2022 — conf
Accepted Tutorials at The Web Conference 2022.
WWW (Companion Volume)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022 A* conf
AdaFS: Adaptive Feature Selection in Deep Recommender System.
KDD
Weilin Lin, Xiangyu Zhao, Yejing Wang, Tong Xu, Xian Wu
2022 J jnl
Adaptive and automated deep recommender systems.
SIGWEB Newsl.
Xiangyu Zhao
2022 A* conf
AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation.
ICDM
Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2022 A* conf
AutoField: Automating Feature Selection in Deep Recommender Systems.
WWW
Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu
2022 J jnl
AutoField: Automating Feature Selection in Deep Recommender Systems.
CoRR
Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu
2022 J jnl
Automated Machine Learning for Deep Recommender Systems: A Survey.
CoRR
Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
2022 A* conf
Automated Self-Supervised Learning for Graphs.
ICLR
Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
2022 A* conf
CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱.
WWW
Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong
2022 A* conf
DDR: Dialogue Based Doctor Recommendation for Online Medical Service.
KDD
Zhi Zheng, Zhaopeng Qiu, Hui Xiong, Xian Wu, Tong Xu, Enhong Chen, Xiangyu Zhao
2022 A* conf
DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval.
SIGIR
Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2022 J jnl
Data Augmentation on Graphs: A Survey.
CoRR
Jiajun Zhou, Chenxuan Xie, Zhenyu Wen, Xiangyu Zhao, Qi Xuan
2022 J jnl
Federated Graph Contrastive Learning.
CoRR
Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu
2022 A* conf
Graph Trend Filtering Networks for Recommendation.
SIGIR
Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
2022 A conf
Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation.
CIKM
Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Zihao Wang, Yong Zhang, Chunxiao Xing, Xian Wu
2022 A conf
Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation.
CIKM
Chi Zhang, Yantong Du, Xiangyu Zhao, Qilong Han, Rui Chen, Li Li
2022 A* conf
Knowledge-enhanced Black-box Attacks for Recommendations.
KDD
Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang
2022 J jnl
Knowledge-enhanced Black-box Attacks for Recommendations.
CoRR
Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang
2022 A conf
MAE4Rec: Storage-saving Transformer for Sequential Recommendations.
CIKM
Kesen Zhao, Xiangyu Zhao, Zijian Zhang, Muyang Li
2022 A* conf
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations.
IJCAI
Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo
2022 J jnl
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations.
CoRR
Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo
2022 A* conf
Multi-Type Urban Crime Prediction.
AAAI
Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang
2022 A conf
PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations.
CIKM
Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang
2022 A* conf
Rating Distribution Calibration for Selection Bias Mitigation in Recommendations.
WWW
Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng
2021 A* conf
Attacking Black-box Recommendations via Copying Cross-domain User Profiles.
ICDE
Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
2021 A* conf
AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems.
WWW
Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long
2021 A* conf
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.
ICDM
Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang
2021 A* conf
AutoLoss: Automated Loss Function Search in Recommendations.
KDD
Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
2021 J jnl
AutoLoss: Automated Loss Function Search in Recommendations.
CoRR
Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
2021 J jnl
Automated Self-Supervised Learning for Graphs.
CoRR
Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
2021 A* conf
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems.
AAAI
Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu
2021 A* conf
DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval.
SIGIR
Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang
2021 J jnl
Data-Efficient Reinforcement Learning for Malaria Control.
CoRR
Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin
2021 J jnl
Graph Trend Networks for Recommendations.
CoRR
Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
2021 J jnl
Progressive Cellular Architecture in Microscale Gas Chromatography for Broad Chemical Analyses.
Sensors
Weilin Liao, Xiangyu Zhao, Hsueh-Tsung Lu, Tsenguun Byambadorj, Yutao Qin, Yogesh B. Gianchandani
2021 A conf
Towards Long-term Fairness in Recommendation.
WSDM
Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang
2021 J jnl
Towards Long-term Fairness in Recommendation.
CoRR
Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang
2021 A* conf
UserSim: User Simulation via Supervised GenerativeAdversarial Network.
WWW
Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2020 J jnl
Attacking Black-box Recommendations via Copying Cross-domain User Profiles.
CoRR
Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
2020 J jnl
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.
CoRR
Xiangyu Zhao, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Jiliang Tang
2020 A* conf
Automated Embedding Size Search in Deep Recommender Systems.
SIGIR
Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang
2020 A* conf
Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances.
SIGIR
Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang, Alex Beutel
2020 J jnl
Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction.
CoRR
Xiangyu Zhao, Jiliang Tang
2020 A* conf
Jointly Learning to Recommend and Advertise.
KDD
Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang
2020 J jnl
Jointly Learning to Recommend and Advertise.
CoRR
Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang
2020 J jnl
Memory-efficient Embedding for Recommendations.
CoRR
Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long
2020 A* conf
Neural Interactive Collaborative Filtering.
SIGIR
Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin
2020 J jnl
Neural Interactive Collaborative Filtering.
CoRR
Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin
2020 A conf
Whole-Chain Recommendations.
CIKM
Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2019 — conf
Automatic Peak Integration and Baseline Correction for Micro-scale Gas Chromatographs Using Continuous Wavelet Transform.
IEEE SENSORS
Xiangyu Zhao, Yutao Qin, Yogesh B. Gianchandani
2019 J jnl
Deep Reinforcement Learning for Online Advertising in Recommender Systems.
CoRR
Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiaobing Liu, Xiwang Yang, Jiliang Tang
2019 J jnl
Deep reinforcement learning for search, recommendation, and online advertising: a survey.
SIGWEB Newsl.
Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin
2019 J jnl
Model-Based Reinforcement Learning for Whole-Chain Recommendations.
CoRR
Xiangyu Zhao, Long Xia, Yihong Zhao, Dawei Yin, Jiliang Tang
2019 J jnl
Toward Simulating Environments in Reinforcement Learning Based Recommendations.
CoRR
Xiangyu Zhao, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang
2018 J jnl
Crime in Urban Areas: : A Data Mining Perspective.
SIGKDD Explor.
Xiangyu Zhao, Jiliang Tang
2018 J jnl
Crime in Urban Areas: A Data Mining Perspective.
CoRR
Xiangyu Zhao, Jiliang Tang
2018 J jnl
Deep Reinforcement Learning for List-wise Recommendations.
CoRR
Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Dawei Yin, Yihong Zhao, Jiliang Tang
2018 J jnl
Deep Reinforcement Learning for Page-wise Recommendations.
CoRR
Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang
2018 A conf
Deep reinforcement learning for page-wise recommendations.
RecSys
Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang
2018 A* conf
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.
KDD
Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin
2018 J jnl
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.
CoRR
Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin
2018 J jnl
Reinforcement Learning for Online Information Seeking.
CoRR
Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin
2017 — conf
Exploring Transfer Learning for Crime Prediction.
ICDM Workshops
Xiangyu Zhao, Jiliang Tang
2017 A* conf
Incorporating Spatio-Temporal Smoothness for Air Quality Inference.
ICDM
Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo
2017 A conf
Modeling Temporal-Spatial Correlations for Crime Prediction.
CIKM
Xiangyu Zhao, Jiliang Tang
2016 C conf
CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation.
KSEM
Hao Guo, Xin Li, Ming He, Xiangyu Zhao, Guiquan Liu, Guandong Xu
2016 — conf
Exploring the Choice Under Conflict for Social Event Participation.
DASFAA (1)
Xiangyu Zhao, Tong Xu, Qi Liu, Hao Guo
2016 A* conf
Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective.
KDD
Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong