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Xiangyu Zhao

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

230

Venues

36

Active years

2013–2026

Best venue rank

A*

Where they publish

Papers

230 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIEmotion and Intention Guided Multi-Modal Learning for Sticker Response Selection.Yuxuan Hu, Jian Chen, Yuhao Wang, Zixuan Li, Jing Xiong, Pengyue Jia, Wei Wang, Chengming Li, Xiangyu Zhao
2026AAAIRoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models.Dayan Pan, Jingyuan Wang, Yilong Zhou, Jiawei Cheng, Pengyue Jia, Xiangyu Zhao
2026AAAIRenormalization Group Guided Tensor Network Structure Search.Maolin Wang, Bowen Yu, Sheng Zhang, Linjie Mi, Wanyu Wang, Yiqi Wang, Pengyue Jia, Xuetao Wei, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2026AAAIPersonalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval.Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Xianneng Li, Yichao Wang, Wenlin Zhang, Xiaopeng Li, Weinan Gan, Huifeng Guo, Yong Liu, Xiangyu Zhao
2026AAAIBoosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization.Yuanshao Zhu, Xiangyu Zhao, Zijian Zhang, Xuetao Wei, James Jianqiao Yu
2026ACLMultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning.Yimin Deng, Zhenxi Lin, Yejing Wang, Guoshuai Zhao, Pengyue Jia, Zichuan Fu, Derong Xu, Yefeng Zheng, Xiangyu Zhao, Li Zhu, Xian Wu, Xueming Qian
2026ACLAdapTime: Enabling Adaptive Temporal Reasoning in Large Language Models.Yimin Deng, Yejing Wang, Zhenxi Lin, Zichuan Fu, Guoshuai Zhao, Derong Xu, Yefeng Zheng, Xiangyu Zhao, Xian Wu, Li Zhu, Xueming Qian
2026ACLSEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering.Yuqing Fu, Yimin Deng, Wanyu Wang, Yuhao Wang, Yejing Wang, Hongshi Liu, Yiqi Wang, Xiao Han, Maolin Wang, Guoshuai Zhao, Yi Chang, Xiangyu Zhao
2026ACLTandem: Riding Together with Large and Small Language Models for Efficient Reasoning.Zichuan Fu, Xian Wu, Guojing Li, Yejing Wang, Yijun Chen, Zihao Zhao, Yixuan Luo, Hanyu Yan, Yefeng Zheng, Xiangyu Zhao
2026ACLBalanceSFT: Improving LLM Function Calling with Balanced Training Signals and Data Hardness.Bingguang Hao, Zengzhuang Xu, Maolin Wang, Yuntao Wen, Yicheng Chen, Cunyin Peng, Long Chen, Xiangyu Zhao, Jinjie Gu, Chenyi Zhuang, Ji Zhang
2026ACLGeoArena: Evaluating Open-World Geographic Reasoning in Large Vision-Language Models.Pengyue Jia, Yingyi Zhang, Xiangyu Zhao, Sharon Li
2026ACLCan LLMs Hear the Dogwhistle?Yifan Liu, Yi Lin, Xinwei Guo, Ziwei Wang, Jiaxin Zhang, Guanhua Chen, Haiyan Wu, Xiangyu Zhao, Xin Yao, Xuetao Wei
2026ACLSelect Before Use: On the Importance of Reference Model Selection in Preference Alignment.Muyang Li, Runze Wu, Xiangyu Zhao, Bo Han, Daoyi Dong, Tongliang Liu
2026ACLMTA: A Merge-then-Adapt Framework for Personalized Large Language Models.Xiaopeng Li, Yuanjin Zheng, Wanyu Wang, Wenlin Zhang, Pengyue Jia, Yingyi Zhang, Haiying He, Mengyang Ma, Yiqi Wang, Maolin Wang, Xuetao Wei, Xiangyu Zhao
2026ACLLogic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression.Jingyu Peng, Maolin Wang, Nan Wang, Jiatong Li, Yuchen Li, Yuyang Ye, Wanyu Wang, Pengyue Jia, Kai Zhang, Xiangyu Zhao
2026ACLPsychEthicsBench: Evaluating Large Language Models Against Australian Mental Health Ethics.Yaling Shen, Stephanie Fong, Yiwen Jiang, Zimu Wang, Feilong Tang, Qingyang Xu, Xiangyu Zhao, Zhongxing Xu, Jiahe Liu, Jinpeng Hu, Dominic Dwyer, Zongyuan Ge
2026ACLLearning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory.Derong Xu, Shuochen Liu, Pengfei Luo, Pengyue Jia, Yingyi Zhang, Yi Wen, Yimin Deng, Wenlin Zhang, Enhong Chen, Xiangyu Zhao, Tong Xu
2026ACLMemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search.Sheng Zhang, Junyi Li, Yingyi Zhang, Pengyue Jia, Yichao Wang, Xiaowei Qian, Wenlin Zhang, Maolin Wang, Yong Liu, Xiangyu Zhao
2026ACLMSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs.Xiangyu Zhao, Wanghan Xu, Bo Liu, Yuhao Zhou, Fenghua Ling, Ben Fei, Xiaoyu Yue, Lei Bai, Wenlong Zhang, Xiao-Ming Wu
2026EACLCHiRPE: A Step Towards Real-World Clinical NLP with Clinician-Oriented Model Explanations.Stephanie Fong, Zimu Wang, Guilherme C. Oliveira, Xiangyu Zhao, Yiwen Jiang, Jiahe Liu, Beau-Luke Colton, Scott W. Woods, Martha Shenton, Barnaby Nelson, Zongyuan Ge, Dominic Dwyer
2026ICDETORepair: Diffusion-Based Task-Oriented Error Repair Via Differentiable Bi-Level Optimization.Wei Ni, Xiaoye Miao, Xiangyu Zhao, Yangyang Wu, Jianwei Yin
2026ICDE$L^{3}$ C: Leaf-Centric Continuous Codes for Natural Language-Driven Table Discovery.Qiyuan Zhang, Ruochun Jin, Jixin Zhang, Yuhua Tang, Xiangyu Zhao, Shixuan Liu
2026KDDExploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing.Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2026PAKDDAEGI: Anchor Event Guided Inference for TKGQA.Yuqing Fu, Yimin Deng, Yejing Wang, Li Zhu, Xueming Qian, Guoshuai Zhao, Xiangyu Zhao
2026WWWBlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations.Mengyang Ma, Xiaopeng Li, Wanyu Wang, Zhaocheng Du, Jingtong Gao, Pengyue Jia, Yuyang Ye, Yiqi Wang, Yunpeng Weng, Weihong Luo, Xiao Han, Xiangyu Zhao
2026WWWSAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation.Maolin Wang, Tongshu Bian, Ziyan Wang, Xiaotong Jiang, Binhao Wang, Derong Xu, Wanyu Wang, Ruocheng Guo, Xiangyu Zhao
2026WWWARCHER: Shooting Straight in Multimodal E-Commerce Search at Alibaba with Progressive Alignment.Maolin Wang, Lang Fu, Jun Chu, Kai Guo, Chenjie Qin, Xinxin Wang, Siyu Wu, Wen Jiang, Xiangyu Zhao
2026WWWPromptX: A Cognitive Agent Platform with Long-term Memory.Binhao Wang, Jianglin Huang, Xiao Hu, Shan Jiang, Maolin Wang, Ching-Ho Yang, Jian Jiang, Junhao Ye, Yaozu Cen, Rui Zeng, Yingtong Zhou, Yingjie Luo, Guanjie Wu, Wangzhong Xu, Feiyu Zhou, Xiangyu Zhao
2026WWWNEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations.Yejing Wang, Shengyu Zhou, Jinyu Lu, Ziwei Liu, Langming Liu, Maolin Wang, Wenlin Zhang, Feng Li, Wenbo Su, Pengjie Wang, Jian Xu, Xiangyu Zhao
2026WWWDetecting Miscitation on the Scholarly Web through LLM-Augmented Text-Rich Graph Learning.Huidong Wu, Haojia Xiang, Jingtong Gao, Xiangyu Zhao, Dengsheng Wu, Jianping Li
2026WWWTo Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention.Wenlin Zhang, Kuicai Dong, Junyi Li, Yingyi Zhang, Xiaopeng Li, Pengyue Jia, Yi Wen, Derong Xu, Maolin Wang, Yichao Wang, Yong Liu, Xiangyu Zhao
2026SIGIRImproving Interpretability of Cognitive Diagnosis Models with LLM-based Semantic Augmentation.Youheng Bai, Jiaqi Zheng, Mingliang Hou, Teng Guo, Mi Tian, Xiangyu Zhao, Zitao Liu, Weiqi Luo
2026SIGIRBridging Personalization and AI: From RAG to Agent.Pengyue Jia, Xiaopeng Li, Derong Xu, Yi Wen, Yingyi Zhang, Wenlin Zhang, Wanyu Wang, Yichao Wang, Yong Liu, Xiangyu Zhao
2026SIGIRLLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation with Dual-phase Training.Ziwei Liu, Qidong Liu, Wanyu Wang, Yejing Wang, Pengyue Jia, Tong Xu, Wei Huang, Chong Chen, Xiangyu Zhao
2026SIGIRPersonalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery.Xiaopeng Li, Wenlin Zhang, Yingyi Zhang, Pengyue Jia, Yejing Wang, Yichao Wang, Yong Liu, Huifeng Guo, Xiangyu Zhao
2026SIGIRGFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks.Yejing Wang, Shengyu Zhou, Jinyu Lu, Qidong Liu, Xinhang Li, Wenlin Zhang, Feng Li, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng, Xiangyu Zhao
2026SIGIRDeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent.Tongzhou Wu, Yuhao Wang, Xinyu Ma, Xiuqiang He, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao
2026SIGIRProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory.Derong Xu, Yanxin Chen, Wanyu Wang, Pengyue Jia, Chao Zhang, Maolin Wang, Yiqi Wang, Jipeng Qiang, Xuetao Wei, Hongzhi Yin, Tong Xu, Xiangyu Zhao
2026WSDMAutomated Information Flow Selection for Multi-scenario Multi-task Recommendation.Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xiangyu Zhao, Xiuqiang He, Zhong Ming
2025AAAILLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation.Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng
2025AAAIGARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching.Xiao Han, Zijian Zhang, Xiangyu Zhao, Yuanshao Zhu, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye
2025AAAILLM-Powered User Simulator for Recommender System.Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang
2025AAAIPOI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning.Jiawei Cheng, Jingyuan Wang, Yichuan Zhang, Jiahao Ji, Yuanshao Zhu, Zhibo Zhang, Xiangyu Zhao
2025AAAISIGMA: Selective Gated Mamba for Sequential Recommendation.Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao
2025AAAIHarnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation.Derong Xu, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu, Enhong Chen
2025ACLA Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs.Yimin Deng, Yuxia Wu, Yejing Wang, Guoshuai Zhao, Li Zhu, Qidong Liu, Derong Xu, Zichuan Fu, Xian Wu, Yefeng Zheng, Xiangyu Zhao, Xueming Qian
2025ACLModel Merging for Knowledge Editing.Zichuan Fu, Xian Wu, Guojing Li, Yingying Zhang, Yefeng Zheng, Tianshi Ming, Yejing Wang, Wanyu Wang, Xiangyu Zhao
2025ACLTraining-free LLM Merging for Multi-task Learning.Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao
2025ACLThe Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing.Xinwei Guo, Jiashi Gao, Junlei Zhou, Jiaxin Zhang, Guanhua Chen, Xiangyu Zhao, Quanying Liu, Haiyan Wu, Xin Yao, Xuetao Wei
2025ACLAI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration.Minjiang Huang, Jipeng Qiang, Yi Zhu, Chaowei Zhang, Xiangyu Zhao, Kui Yu
2025ACLBridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Yichao Wang, Yuhao Wang, Qidong Liu, Maolin Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025ACLLLMs Trust Humans More, That's a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation.Yuxuan Li, Xinwei Guo, Jiashi Gao, Guanhua Chen, Xiangyu Zhao, Jiaxin Zhang, Quanying Liu, Haiyan Wu, Xin Yao, Xuetao Wei
2025ACLStepwise Reasoning Disruption Attack of LLMs.Jingyu Peng, Maolin Wang, Xiangyu Zhao, Kai Zhang, Wanyu Wang, Pengyue Jia, Qidong Liu, Ruocheng Guo, Qi Liu
2025ACLRedundancy Principles for MLLMs Benchmarks.Zicheng Zhang, Xiangyu Zhao, Xinyu Fang, Chunyi Li, Xiaohong Liu, Xiongkuo Min, Haodong Duan, Kai Chen, Guangtao Zhai
2025ACLOmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference.Xiangyu Zhao, Shengyuan Ding, Zicheng Zhang, Haian Huang, Maosongcao, Jiaqi Wang, Weiyun Wang, Xinyu Fang, Wenhai Wang, Guangtao Zhai, Hua Yang, Haodong Duan, Kai Chen
2025CIKMEmpowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs.Yuhao Wang, Junwei Pan, Xinhang Li, Maolin Wang, Yuan Wang, Yue Liu, Dapeng Liu, Jie Jiang, Xiangyu Zhao
2025CIKMScenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.Xiaopeng Li, Jingtong Gao, Pengyue Jia, Xiangyu Zhao, Yichao Wang, Wanyu Wang, Yejing Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
2025CIKMPAnDA: Combating Negative Augmentation via Large Language Models for User Cold-Start Recommendations.Yantong Du, Rui Chen, Xiangyu Zhao, Qilong Han, A. K. Qin
2025CIKMSELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems.Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang
2025CIKMECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph.Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Xiangyu Zhao, Bo Zheng
2025CIKMPrompt Tuning as User Inherent Profile Inference Machine.Yusheng Lu, Zhaocheng Du, Xiangyang Li, Pengyue Jia, Yejing Wang, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan, Xiangyu Zhao
2025CIKMContextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models.Dayan Pan, Zhaoyang Fu, Jingyuan Wang, Xiao Han, Yue Zhu, Xiangyu Zhao
2025CIKMCausality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation.Yue Que, Yingyi Zhang, Xiangyu Zhao, Chen Ma
2025CIKMSPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation.Binhao Wang, Yutian Xiao, Maolin Wang, Zhiqi Li, Tianshuo Wei, Ruocheng Guo, Xiangyu Zhao
2025CIKMEmpowering Denoising Sequential Recommendation with Large Language Model Embeddings.Tongzhou Wu, Yuhao Wang, Maolin Wang, Chi Zhang, Xiangyu Zhao
2025CIKMTrustworthy Knowledge Discovery and Data Mining (TrustKDD).Le Wu, Jindong Wang, Ling Chen, Xiangyu Zhao, Kui Yu, Yashar Deldjoo, Defu Lian
2025COLINGLLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations.Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2025CVPRAuto Cherry-Picker: Learning from High-quality Generative Data Driven by Language.Yicheng Chen, Xiangtai Li, Yining Li, Yanhong Zeng, Jianzong Wu, Xiangyu Zhao, Kai Chen
2025ICASSPDiffSR: Learning Radar Reflectivity Synthesis via Diffusion Model from Satellite Observations.Xuming He, Zhiwang Zhou, Wenlong Zhang, Xiangyu Zhao, Hao Chen, Shiqi Chen, Lei Bai
2025ICASSPTAPO: Task-Referenced Adaptation for Prompt Optimization.Wenxin Luo, Weirui Wang, Xiaopeng Li, Weibo Zhou, Pengyue Jia, Xiangyu Zhao
2025ICCVMM-IFEngine: Towards Multimodal Instruction Following.Shengyuan Ding, Shenxi Wu, Xiangyu Zhao, Yuhang Zang, Haodong Duan, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Dahua Lin, Jiaqi Wang
2025ICCVCreation-Mmbench: Assessing Context-Aware Creative Intelligence in Mllms.Xinyu Fang, Zhijian Chen, Kai Lan, Lixin Ma, Shengyuan Ding, Yingji Liang, Xiangyu Zhao, Farong Wen, Zicheng Zhang, Guofeng Zhang, Haodong Duan, Kai Chen, Dahua Lin
2025ICCVGenieBlue: Integrating Both Linguistic and Multimodal Capabilities for Large Language Models on Mobile Devices.Xudong Lu, Yinghao Chen, Renshou Wu, Haohao Gao, Xi Chen, Xue Yang, Xiangyu Zhao, Aojun Zhou, Fangyuan Li, Yafei Wen, Xiaoxin Chen, Shuai Ren, Hongsheng Li
2025ICDEZeroED: Hybrid Zero-Shot Error Detection Through Large Language Model Reasoning.Wei Ni, Kaihang Zhang, Xiaoye Miao, Xiangyu Zhao, Yangyang Wu, Yaoshu Wang, Jianwei Yin
2025ICDEMetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-Tuning.Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Junhui Wang
2025ICDMTwice the Gradient, Twice the Privacy Risk in Federated Learning? A Case Study of Federated Recommendation Systems.Zhenyu Deng, Ying Liu, Ming Tang, Xiangyu Zhao
2025ICDMTowards Propagation-Aware Representation Learning for Supervised Social Media Graph Analytics.Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2025ICLRWeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning.Xiangyu Zhao, Zhiwang Zhou, Wenlong Zhang, Yihao Liu, Xiangyu Chen, Junchao Gong, Hao Chen, Ben Fei, Shiqi Chen, Wanli Ouyang, Xiao-Ming Wu, Lei Bai
2025IJCAIFlow Matching Based Sequential Recommender Model.Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li
2025IJCAIDANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation.Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao
2025IJCNLPRethinking Large Language Model Architectures for Sequential Recommendations.Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Pratap Yadav, Fei Wang, Zhen Wen, Hui Liu
2025IJCNNTwice the Gradient, Twice the Privacy Risk in Federated Learning? A Case Study of Federated Recommendation Systems.Zhenyu Deng, Ying Liu, Ming Tang, Xiangyu Zhao
2025KDDMeasure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation.Yi Wen, Yue Liu, Derong Xu, Huishi Luo, Pengyue Jia, Yiqing Wu, Siwei Wang, Ke Liang, Maolin Wang, Yiqi Wang, Fuzhen Zhuang, Xiangyu Zhao
2025KDDPut Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework.Maolin Wang, Jun Chu, Sicong Xie, Xiaoling Zang, Yao Zhao, Wenliang Zhong, Xiangyu Zhao
2025KDDLarge Language Model Enhanced Recommender Systems: Methods, Applications and Trends.Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian
2025KDDSwarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework.Xiao Han, Chen Zhu, Hengshu Zhu, Xiangyu Zhao
2025KDDDimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation.Chi Zhang, Qilong Han, Qiaoyu Tan, Shengjie Wang, Xiangyu Zhao, Rui Chen
2025KDDMulti-task Offline Reinforcement Learning for Online Advertising in Recommender Systems.Langming Liu, Wanyu Wang, Chi Zhang, Bo Li, Hongzhi Yin, Xuetao Wei, Wenbo Su, Bo Zheng, Xiangyu Zhao
2025KDDGLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems.Sheng Zhang, Maolin Wang, Wanyu Wang, Jingtong Gao, Xiangyu Zhao, Yu Yang, Xuetao Wei, Zitao Liu, Tong Xu
2025KDDLSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao
2025KDDNoteLLM-2: Multimodal Large Representation Models for Recommendation.Chao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu, Tong Xu, Xiangyu Zhao, Yan Gao, Yao Hu, Enhong Chen
2025KDDLearning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision.Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xiao Han, Qidong Liu, Xuetao Wei, Yuxuan Liang
2025WWWLLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations.Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Wanyu Wang, Huifeng Guo, Ruiming Tang
2025WWWSampleLLM: Optimizing Tabular Data Synthesis in Recommendations.Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025WWWBehavior Modeling Space Reconstruction for E-Commerce Search.Yejing Wang, Chi Zhang, Xiangyu Zhao, Qidong Liu, Maolin Wang, Xuetao Wei, Zitao Liu, Xing Shi, Xudong Yang, Ling Zhong, Wei Lin
2025SIGIRSTAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation.Maolin Wang, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu, Hongzhi Yin, Yi Chang, Xiangyu Zhao
2025SIGIRBridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation.Qidong Liu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Howard Zhong, Chong Chen, Xiang Li, Wei Huang, Feng Tian
2025SIGIRGenerative Auto-Bidding with Value-Guided Explorations.Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Peng Jiang, Kun Gai, Bo An, Xiangyu Zhao
2025SIGIRFiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval.Bohan Hou, Haoqiang Lin, Xuemeng Song, Haokun Wen, Meng Liu, Yupeng Hu, Xiangyu Zhao
2025SIGIRAgentIR: 2nd Workshop on Agent-based Information Retrieval.Pengyue Jia, Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2025SIGIRPre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models.Yuhao Wang, Junwei Pan, Pengyue Jia, Wanyu Wang, Maolin Wang, Zhixiang Feng, Xiaotian Li, Jie Jiang, Xiangyu Zhao
2025SIGIRMulti-scenario Instance Embedding Learning for Deep Recommender Systems.Chaohua Yang, Dugang Liu, Xing Tang, Yuwen Fu, Xiuqiang He, Xiangyu Zhao, Zhong Ming
2024AAAID3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations.Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024ACLEasyGen: Easing Multimodal Generation with BiDiffuser and LLMs.Xiangyu Zhao, Bo Liu, Qijiong Liu, Guangyuan Shi, Xiao-Ming Wu
2024AIESSurviving in Diverse Biases: Unbiased Dataset Acquisition in Online Data Market for Fair Model Training.Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao, Xuetao Wei
2024CIKMLLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024CIKMMulti-turn Classroom Dialogue Dataset: Assessing Student Performance from One-on-one Conversations.Jiahao Chen, Zitao Liu, Mingliang Hou, Xiangyu Zhao, Weiqi Luo
2024CIKMHierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations.Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
2024CIKMEfficient and Robust Regularized Federated Recommendation.Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li
2024CIKMScalable Dynamic Embedding Size Search for Streaming Recommendation.Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2024CIKMEditing Factual Knowledge and Explanatory Ability of Medical Large Language Models.Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng
2024COLINGMulti-perspective Improvement of Knowledge Graph Completion with Large Language Models.Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
2024ECAIEnhancing Node Representations for Real-World Complex Networks with Topological Augmentation.Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Li, Yiren Zhao
2024EMNLPMitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding.Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
2024EMNLPUniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation.Xiangyu Zhao, Yuehan Zhang, Wenlong Zhang, Xiao-Ming Wu
2024ICDESSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation.Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song
2024ICDMBi-Level User Modeling for Deep Recommenders.Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, Qidong Liu
2024ICMLGraph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification.Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao
2024IJCAIEnhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases.Xueyi Li, Youheng Bai, Teng Guo, Zitao Liu, Yaying Huang, Xiangyu Zhao, Feng Xia, Weiqi Luo, Jian Weng
2024IJCAIKDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation.Yinghui Liu, Guojiang Shen, Chengyong Cui, Zhenzhen Zhao, Xiao Han, Jiaxin Du, Xiangyu Zhao, Xiangjie Kong
2024KDDAdapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning.Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu
2024KDDERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
2024KDDModeling User Retention through Generative Flow Networks.Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang
2024KDDControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model.Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
2024MICCAIExploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets.Xiangyu Zhao, Xi Ouyang, Lichi Zhang, Zhong Xue, Dinggang Shen
2024NAACLMILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion.Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin
2024RecSysDNS-Rec: Data-aware Neural Architecture Search for Recommender Systems.Sheng Zhang, Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Zijian Zhang, Hongzhi Yin
2024WWWLarge Multimodal Model Compression via Iterative Efficient Pruning and Distillation.Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao
2024WWWThe 2nd Workshop on Recommendation with Generative Models.Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
2024SIGIRAgentIR: 1st Workshop on Agent-based Information Retrieval.Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2024SIGIRWhen MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications.Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng
2024SIGIRSequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention.Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai
2024SIGIROptimal Transport Enhanced Cross-City Site Recommendation.Xinhang Li, Xiangyu Zhao, Zihao Wang, Yang Duan, Yong Zhang, Chunxiao Xing
2024SIGIROpenSiteRec: An Open Dataset for Site Recommendation.Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing
2024SIGIRMZijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
2024WSDMMultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems.Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao
2024WSDMDiff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation.Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang
2024SDMTensorized Hypergraph Neural Networks.Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2023AAAIAutoSTL: Automated Spatio-Temporal Multi-Task Learning.Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
2023CIKMDRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval.Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2023CIKMAssessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue.Jiahao Chen, Zitao Liu, Shuyan Huang, Yaying Huang, Xiangyu Zhao, Boyu Gao, Weiqi Luo
2023CIKMREST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning.Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Yong Zhang, Chunxiao Xing, Xian Wu
2023CIKMDiffusion Augmentation for Sequential Recommendation.Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
2023CIKMCounterfactual Adversarial Learning for Recommendation.Jialin Liu, Zijian Zhang, Xiangyu Zhao, Jun Li
2023CIKMHAMUR: Hyper Adapter for Multi-Domain Recommendation.Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2023CIKMTowards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning.Xinhang Li, Xiangyu Zhao, Yong Zhang, Chunxiao Xing
2023CIKMRethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting.Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang
2023CIKMMLPST: MLP is All You Need for Spatio-Temporal Prediction.Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao
2023CIKMPromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction.Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu
2023ICDMFederated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2023ITSSC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners.Qiongqiong Liu, Yaying Huang, Zitao Liu, Shuyan Huang, Jiahao Chen, Xiangyu Zhao, Guimin Lin, Yuyu Zhou, Weiqi Luo
2023KDDTrustworthy Recommender Systems: Foundations and Frontiers.Wenqi Fan, Xiangyu Zhao, Lin Wang, Xiao Chen, Jingtong Gao, Qidong Liu, Shijie Wang
2023KDDMitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning.Xiao Han, Xiangyu Zhao, Liang Zhang, Wanyu Wang
2023KDDDoctor Specific Tag Recommendation for Online Medical Record Management.Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng
2023MICCAILearnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis.Dongdong Chen, Mengjun Liu, Zhenrong Shen, Xiangyu Zhao, Qian Wang, Lichi Zhang
2023MICCAIRobust Cervical Abnormal Cell Detection via Distillation from Local-Scale Consistency Refinement.Manman Fei, Xin Zhang, Maosong Cao, Zhenrong Shen, Xiangyu Zhao, Zhiyun Song, Qian Wang, Lichi Zhang
2023MICCAIAlias-Free Co-modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images.Zhiyun Song, Xin Wang, Xiangyu Zhao, Sheng Wang, Zhenrong Shen, Zixu Zhuang, Mengjun Liu, Qian Wang, Lichi Zhang
2023MICCAIOne-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification.Xiangyu Zhao, Zhenrong Shen, Dongdong Chen, Sheng Wang, Zixu Zhuang, Qian Wang, Lichi Zhang
2023MICCAICAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees.Zixu Zhuang, Xin Wang, Sheng Wang, Zhenrong Shen, Xiangyu Zhao, Mengjun Liu, Zhong Xue, Dinggang Shen, Lichi Zhang, Qian Wang
2023RecSysSTRec: Sparse Transformer for Sequential Recommendations.Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li
2023RecSysInternational Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023.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
2023WWWExploration and Regularization of the Latent Action Space in Recommendation.Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang
2023WWWDenoising and Prompt-Tuning for Multi-Behavior Recommendation.Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li
2023WWWTutorials at The Web Conference 2023.Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-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 Kk-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
2023WWWMMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations.Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu
2023WWWAutoDenoise: Automatic Data Instance Denoising for Recommendations.Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang
2023WWWMulti-Task Recommendations with Reinforcement Learning.Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai
2023WWWIMF: Interactive Multimodal Fusion Model for Link Prediction.Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing
2023WWWAutoMLP: Automated MLP for Sequential Recommendations.Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo
2023WWWGenerating Counterfactual Hard Negative Samples for Graph Contrastive Learning.Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu
2023WWWUser Retention-oriented Recommendation with Decision Transformer.Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin
2023SIGIRAutoDPQ: Automated Differentiable Product Quantization for Embedding Compression.Xin Gan, Yuhao Wang, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu
2023SIGIRAutoTransfer: Instance Transfer for Cross-Domain Recommendations.Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang
2023SIGIRTowards Robust Knowledge Tracing Models via k-Sparse Attention.Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng
2023SIGIRLinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems.Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li
2023SIGIRContinuous Input Embedding Size Search For Recommender Systems.Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
2023SIGIRSingle-shot Feature Selection for Multi-task Recommendations.Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong
2023SIGIRPLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations.Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang
2023WSDMAutoML for Deep Recommender Systems: Fundamentals and Advances.Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao
2023WSDMAutoGen: An Automated Dynamic Model Generation Framework for Recommender System.Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang
2022AAAIMulti-Type Urban Crime Prediction.Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang
2022CIKMPROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations.Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang
2022CIKMGromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation.Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Zihao Wang, Yong Zhang, Chunxiao Xing, Xian Wu
2022CIKMHierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation.Chi Zhang, Yantong Du, Xiangyu Zhao, Qilong Han, Rui Chen, Li Li
2022CIKMMAE4Rec: Storage-saving Transformer for Sequential Recommendations.Kesen Zhao, Xiangyu Zhao, Zijian Zhang, Muyang Li
2022ICASSPImproving Dialogue Generation via Proactively Querying Grounded Knowledge.Xiangyu Zhao, Longbiao Wang, Jianwu Dang
2022ICDMAutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation.Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2022ICLRAutomated Self-Supervised Learning for Graphs.Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
2022IJCAIMLP4Rec: A Pure MLP Architecture for Sequential Recommendations.Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo
2022KDDKnowledge-enhanced Black-box Attacks for Recommendations.Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang
2022KDDAdaFS: Adaptive Feature Selection in Deep Recommender System.Weilin Lin, Xiangyu Zhao, Yejing Wang, Tong Xu, Xian Wu
2022KDDDDR: Dialogue Based Doctor Recommendation for Online Medical Service.Zhi Zheng, Zhaopeng Qiu, Hui Xiong, Xian Wu, Tong Xu, Enhong Chen, Xiangyu Zhao
2022WWWAccepted Tutorials at The Web Conference 2022.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
2022WWWRating Distribution Calibration for Selection Bias Mitigation in Recommendations.Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng
2022WWWAutoField: Automating Feature Selection in Deep Recommender Systems.Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu
2022WWWCBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱.Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong
2022SIGIRGraph Trend Filtering Networks for Recommendation.Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
2022SIGIRDRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval.Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2021AAAIDEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems.Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu
2021ICDEAttacking Black-box Recommendations via Copying Cross-domain User Profiles.Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
2021ICDMAutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang
2021KDDA Difficulty-Aware Framework for Churn Prediction and Intervention in Games.Jiayu Li, Hongyu Lu, Chenyang Wang, Weizhi Ma, Min Zhang, Xiangyu Zhao, Wei Qi, Yiqun Liu, Shaoping Ma
2021KDDAutoLoss: Automated Loss Function Search in Recommendations.Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
2021WWWAutoDim: Field-aware Embedding Dimension Searchin Recommender Systems.Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long
2021WWWUserSim: User Simulation via Supervised GenerativeAdversarial Network.Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2021SIGIRDRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval.Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang
2021WSDMTowards Long-term Fairness in Recommendation.Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang
2020CIKMWhole-Chain Recommendations.Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2020ICONIPHierarchical Interactive Matching Network for Multi-turn Response Selection in Retrieval-Based Chatbots.Ting Yang, Ruifang He, Longbiao Wang, Xiangyu Zhao, Jiangwu Dang
2020KDDJointly Learning to Recommend and Advertise.Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang
2020WWWMultiple Knowledge Syncretic Transformer for Natural Dialogue Generation.Xiangyu Zhao, Longbiao Wang, Ruifang He, Ting Yang, Jinxin Chang, Ruifang Wang
2020SIGIRDeep Reinforcement Learning for Information Retrieval: Fundamentals and Advances.Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang, Alex Beutel
2020SIGIRAutomated Embedding Size Search in Deep Recommender Systems.Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang
2020SIGIRNeural Interactive Collaborative Filtering.Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin
2019EMNLPA Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation.Jinxin Chang, Ruifang He, Longbiao Wang, Xiangyu Zhao, Ting Yang, Ruifang Wang
2019ISCASA Loss-Compensated 5-Bit Ka-Band Digital Phase Shifter with Low RMS Phase/Gain Error Over Wide Temperature Ranges.Ruoman Yang, Chao Liu, Xiangyu Zhao, Sheng Chang, Xiong Zhou, Qiang Li
2018KDDRecommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin
2018RecSysDeep reinforcement learning for page-wise recommendations.Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang
2017CIKMModeling Temporal-Spatial Correlations for Crime Prediction.Xiangyu Zhao, Jiliang Tang
2017ICDMExploring Transfer Learning for Crime Prediction.Xiangyu Zhao, Jiliang Tang
2017ICDMIncorporating Spatio-Temporal Smoothness for Air Quality Inference.Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo
2016DASFAASimilarity-Based Classification for Big Non-Structured and Semi-Structured Recipe Data.Wei Chen, Xiangyu Zhao
2016DASFAAImproving Diversity of User-Based Two-Step Recommendation Algorithm with Popularity Normalization.Xiangyu Zhao, Wei Chen, Feng Yang, Zhongqiang Liu
2016DASFAAExploring the Choice Under Conflict for Social Event Participation.Xiangyu Zhao, Tong Xu, Qi Liu, Hao Guo
2016EDMA Coupled User Clustering Algorithm for Web-based Learning Systems.Ke Niu, Zhendong Niu, Xiangyu Zhao, Can Wang, Kai Kang, Min Ye
2016KDDTaxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective.Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong
2016KSEMCoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation.Hao Guo, Xin Li, Ming He, Xiangyu Zhao, Guiquan Liu, Guandong Xu
2015GLOBECOMAcoustic Source Localization with Distributed Smartphone Arrays.Jinghong Huang, Naigao Jin, Lei Wang, Xue Chen, Xia Sheng, Shuailing Yang, Xiangyu Zhao, Liang Sun, Ming Zhu
2014ICTAIA Personalized User Evaluation Model for Web-Based Learning Systems.Ke Niu, Zhendong Niu, Donglei Liu, Xiangyu Zhao, Peipei Gu
2013DEXAOpinion-Based Collaborative Filtering to Solve Popularity Bias in Recommender Systems.Xiangyu Zhao, Zhendong Niu, Wei Chen