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2020 – today
- 2025
[j15]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
Tool learning with large language models: a survey. Frontiers Comput. Sci. 19(8): 198343 (2025)- [j14]Yanan Cao, Fengzhao Shi, Qing Yu, Xixun Lin, Chuan Zhou, Lixin Zou, Peng Zhang, Zhao Li, Dawei Yin:
IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection. Neural Networks 188: 107381 (2025) - [j13]Shuting Wang, Zhicheng Dou, Kexiang Wang, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin, Ji-Rong Wen:
PRADA: Pre-Train Ranking Models With Diverse Relevance Signals Mined From Search Logs. IEEE Trans. Knowl. Data Eng. 37(5): 2861-2873 (2025) - [j12]Xixun Lin, Rui Liu, Yanan Cao, Lixin Zou, Qian Li, Yongxuan Wu, Yang Liu, Dawei Yin, Guandong Xu:
Contrastive Modality-Disentangled Learning for Multimodal Recommendation. ACM Trans. Inf. Syst. 43(3): 70:1-70:31 (2025) - [c100]Wenhan Liu, Xinyu Ma, Yutao Zhu, Ziliang Zhao, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou:
Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models. ACL (1) 2025: 162-176 - [c99]Jiongnan Liu, Yutao Zhu, Shuting Wang, Xiaochi Wei, Erxue Min, Yu Lu, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou:
LLMs + Persona-Plug = Personalized LLMs. ACL (1) 2025: 9373-9385 - [c98]Yukun Zhao, Lingyong Yan, Zhenyang Li, Shuaiqiang Wang, Zhumin Chen, Zhaochun Ren, Dawei Yin:
Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization. ACL (Findings) 2025: 15070-15080 - [c97]Zhengliang Shi, Yuhan Wang, Lingyong Yan, Pengjie Ren, Shuaiqiang Wang, Dawei Yin, Zhaochun Ren:
Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models. ACL (Findings) 2025: 24497-24524 - [c96]Shijie Wang, Wenqi Fan, Yue Feng, Shanru Lin, Xinyu Ma, Shuaiqiang Wang, Dawei Yin:
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation. ACL (1) 2025: 27152-27168 - [c95]Dongsheng Zhu, Weixian Shi, Zhengliang Shi, Zhaochun Ren, Shuaiqiang Wang, Lingyong Yan, Dawei Yin:
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation. ACL (1) 2025: 28859-28875 - [c94]Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, Yiming Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu:
Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization. CVPR 2025: 9423-9433 - [c93]Xihong Yang, Heming Jing, Zixing Zhang, Jindong Wang, Huakang Niu, Shuaiqiang Wang, Yu Lu, Junfeng Wang, Dawei Yin, Xinwang Liu, En Zhu, Defu Lian, Erxue Min:
DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. ICDE 2025: 904-917 - [c92]Yuchen Li, Hao Zhang, Yongqi Zhang, Xinyu Ma, Wenwen Ye, Naifei Song, Shuaiqiang Wang, Haoyi Xiong, Dawei Yin, Lei Chen:
M2oERank: Multi-Objective Mixture-of-Experts Enhanced Ranking for Satisfaction-Oriented Web Search. ICDE 2025: 4441-4454 - [c91]Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization. ICLR 2025 - [c90]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. ICLR 2025 - [c89]Xiaodong Li, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu:
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. KDD (1) 2025: 719-728 - [c88]Yuchen Li, Haoyi Xiong, Yongqi Zhang, Jiang Bian, Tianhao Peng, Xuhong Li, Shuaiqiang Wang, Linghe Kong, Dawei Yin:
RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search. KDD (1) 2025: 2415-2425 - [c87]Hengzhu Tang, Zefeng Zhang, Zhiping Li, Zhenyu Zhang, Xing Wu, Li Gao, Suqi Cheng, Dawei Yin:
Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search. KDD (1) 2025: 2596-2605 - [c86]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng:
Generative Retrieval for Book Search. KDD (1) 2025: 2606-2617 - [c85]Jiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun, Xiang Li, Shuaiqiang Wang, Dawei Yin, Ming Gao:
PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization. NAACL (Long Papers) 2025: 9091-9112 - [c84]Zhen Zhang, Xinyu Ma, Weiwei Sun, Pengjie Ren, Zhumin Chen, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren:
Replication and Exploration of Generative Retrieval over Dynamic Corpora. SIGIR 2025: 3325-3334 - [c83]Pengyue Jia, Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang:
AgentIR: 2nd Workshop on Agent-based Information Retrieval. SIGIR 2025: 4180-4183 - [c82]Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Dawei Yin, Xueqi Cheng:
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance. WWW (Companion Volume) 2025: 1495-1499 - [c81]Yiqun Chen, Qi Liu, Yi Zhang, Weiwei Sun, Xinyu Ma, Wei Yang, Daiting Shi, Jiaxin Mao, Dawei Yin:
TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. WWW 2025: 1638-1652 - [c80]Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin:
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification. WWW 2025: 1703-1715 - [c79]Zhengliang Shi, Shen Gao, Lingyong Yan, Yue Feng, Xiuyi Chen, Zhumin Chen, Dawei Yin, Suzan Verberne, Zhaochun Ren:
Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents. WWW 2025: 2222-2237 - [c78]Haoyu Han, Xianfeng Tang, Jing Huang, Monica Xiao Cheng, Omar Alonso, Hanqing Lu, Zhen Li, Chen Luo, Dawei Yin, Jiliang Tang:
Large Language Model for E-Commerce Workshop. WWW (Companion Volume) 2025: 2699-2700 - [i97]Shijie Wang, Wenqi Fan, Yue Feng, Xinyu Ma, Shuaiqiang Wang, Dawei Yin:
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation. CoRR abs/2501.02226 (2025) - [i96]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqing Wang, Dawei Yin, Xueqi Cheng:
Generative Retrieval for Book search. CoRR abs/2501.11034 (2025) - [i95]Xiaodong Li, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu:
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. CoRR abs/2501.11671 (2025) - [i94]Dongsheng Zhu, Weixian Shi, Zhengliang Shi, Zhaochun Ren, Shuaiqiang Wang, Lingyong Yan, Dawei Yin:
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation. CoRR abs/2501.12432 (2025) - [i93]Yiqun Chen, Lingyong Yan, Weiwei Sun, Xinyu Ma, Yi Zhang, Shuaiqiang Wang, Dawei Yin, Yiming Yang, Jiaxin Mao:
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning. CoRR abs/2501.15228 (2025) - [i92]Xubin Ren, Lingrui Xu, Long Xia, Shuaiqiang Wang, Dawei Yin, Chao Huang:
VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos. CoRR abs/2502.01549 (2025) - [i91]Junda Zhu, Lingyong Yan, Shuaiqiang Wang, Dawei Yin, Lei Sha:
Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking. CoRR abs/2502.12970 (2025) - [i90]Xin Yang, Xingrun Li, Heng Chang, Jinze Yang, Xihong Yang, Shengyu Tao, Ningkang Chang, Maiko Shigeno, Junfeng Wang, Dawei Yin, Erxue Min:
Hgformer: Hyperbolic Graph Transformer for Recommendation. CoRR abs/2502.15693 (2025) - [i89]Zhengliang Shi, Yuhan Wang, Lingyong Yan, Pengjie Ren, Shuaiqiang Wang, Dawei Yin, Zhaochun Ren:
Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models. CoRR abs/2503.01763 (2025) - [i88]Jiani Huang, Shijie Wang, Liang-Bo Ning, Wenqi Fan, Shuaiqiang Wang, Dawei Yin, Qing Li:
Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs. CoRR abs/2503.09382 (2025) - [i87]Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, Yiming Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu:
Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization. CoRR abs/2503.17928 (2025) - [i86]Wenhan Liu, Xinyu Ma, Yutao Zhu, Lixin Su, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou:
CoRanking: Collaborative Ranking with Small and Large Ranking Agents. CoRR abs/2503.23427 (2025) - [i85]Hang Ni, Fan Liu, Xinyu Ma, Lixin Su, Shuaiqiang Wang, Dawei Yin, Hui Xiong, Hao Liu:
TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning. CoRR abs/2504.08694 (2025) - [i84]Erxue Min, Hsiu-Yuan Huang, Min Yang, Xihong Yang, Xin Jia, Yunfang Wu, Hengyi Cai, Shuaiqiang Wang, Dawei Yin:
From Prompting to Alignment: A Generative Framework for Query Recommendation. CoRR abs/2504.10208 (2025) - [i83]Zhen Zhang, Xinyu Ma, Weiwei Sun, Pengjie Ren, Zhumin Chen, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren:
Replication and Exploration of Generative Retrieval over Dynamic Corpora. CoRR abs/2504.17519 (2025) - [i82]Zhengliang Shi, Lingyong Yan, Weiwei Sun, Yue Feng, Pengjie Ren, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren:
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models. CoRR abs/2505.03075 (2025) - [i81]Yukun Zhao, Lingyong Yan, Zhenyang Li, Shuaiqiang Wang, Zhumin Chen, Zhaochun Ren, Dawei Yin:
Joint Flashback Adaptation for Forgetting-Resistant Instruction Tuning. CoRR abs/2505.15467 (2025) - [i80]Zhengliang Shi, Lingyong Yan, Dawei Yin, Suzan Verberne, Maarten de Rijke, Zhaochun Ren:
Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers. CoRR abs/2505.20128 (2025) - [i79]Jiulong Wu, Zhengliang Shi, Shuaiqiang Wang, Jizhou Huang, Dawei Yin, Lingyong Yan, Min Cao, Min Zhang:
Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization. CoRR abs/2506.04039 (2025) - [i78]Xingzhu Wang, Erhan Zhang, Yiqun Chen, Jinghan Xuan, Yucheng Hou, Yitong Xu, Ying Nie, Shuaiqiang Wang, Dawei Yin, Jiaxin Mao:
Leveraging LLMs to Evaluate Usefulness of Document. CoRR abs/2506.08626 (2025) - [i77]Yuchen Li, Hengyi Cai, Rui Kong, Xinran Chen, Jiamin Chen, Jun Yang, Haojie Zhang, Jiayi Li, Jiayi Wu, Yiqun Chen, Changle Qu, Keyi Kong, Wenwen Ye, Lixin Su, Xinyu Ma, Long Xia, Daiting Shi, Jiashu Zhao, Haoyi Xiong, Shuaiqiang Wang, Dawei Yin:
Towards AI Search Paradigm. CoRR abs/2506.17188 (2025) - [i76]Hua Tang, Lingyong Yan, Yukun Zhao, Shuaiqiang Wang, Jizhou Huang, Dawei Yin:
Multi-turn Jailbreaking via Global Refinement and Active Fabrication. CoRR abs/2506.17881 (2025) - [i75]Erxue Min, Hsiu-Yuan Huang, Xihong Yang, Min Yang, Xin Jia, Yunfang Wu, Hengyi Cai, Junfeng Wang, Shuaiqiang Wang, Dawei Yin:
CTR-Guided Generative Query Suggestion in Conversational Search. CoRR abs/2507.04072 (2025) - [i74]Yiqun Chen, Erhan Zhang, Lingyong Yan, Shuaiqiang Wang, Jizhou Huang, Dawei Yin, Jiaxin Mao:
MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation. CoRR abs/2508.01005 (2025) - [i73]Wenhan Liu, Xinyu Ma, Weiwei Sun, Yutao Zhu, Yuchen Li, Dawei Yin, Zhicheng Dou:
ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability. CoRR abs/2508.07050 (2025) - [i72]Ziyang Chen, Erxue Min, Xiang Zhao, Yunxin Li, Xin Jia, Jinzhi Liao, Jichao Li, Shuaiqiang Wang, Baotian Hu, Dawei Yin:
A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation. CoRR abs/2508.12282 (2025) - [i71]Liu Yang, Zhaochun Ren, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Xinyi Li, Shuaiqiang Wang, Dawei Yin, Xin Xin:
Curriculum Approximate Unlearning for Session-based Recommendation. CoRR abs/2508.15263 (2025) - [i70]Yunfei Zhong, Jun Yang, Yixing Fan, Jiafeng Guo, Lixin Su, Maarten de Rijke, Ruqing Zhang, Dawei Yin, Xueqi Cheng:
Reasoning-enhanced Query Understanding through Decomposition and Interpretation. CoRR abs/2509.06544 (2025) - [i69]Ziheng Li, Zexu Sun, Jinman Zhao, Erxue Min, Yongcheng Zeng, Hui Wu, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Xu Chen, Zhi-Hong Deng:
Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint Scaffolding. CoRR abs/2509.06923 (2025) - [i68]Heyang Gao, Zexu Sun, Erxue Min, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Xu Chen:
Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents. CoRR abs/2510.03253 (2025) - [i67]Weiwei Sun, Keyi Kong, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren, Yiming Yang:
ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval. CoRR abs/2510.10419 (2025) - 2024
- [j11]Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke:
Information Discovery in E-commerce. Found. Trends Inf. Retr. 18(4-5): 417-690 (2024) - [j10]Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
GS2P: a generative pre-trained learning to rank model with over-parameterization for web-scale search. Mach. Learn. 113(8): 5331-5349 (2024) - [j9]Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin:
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 36(4): 1815-1828 (2024) - [j8]Jingtong Gao, Xiangyu Zhao, Muyang Li, Minghao Zhao, Runze Wu, Ruocheng Guo, Yiding Liu, Dawei Yin:
SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations. ACM Trans. Inf. Syst. 42(3): 86:1-86:23 (2024) - [j7]Zhidan Wang, Lixin Zou, Chenliang Li, Shuaiqiang Wang, Xu Chen, Dawei Yin, Weidong Liu:
Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework. ACM Trans. Inf. Syst. 42(6): 142:1-142:30 (2024) - [j6]Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal:
When Search Engine Services Meet Large Language Models: Visions and Challenges. IEEE Trans. Serv. Comput. 17(6): 4558-4577 (2024) - [c77]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
Towards Completeness-Oriented Tool Retrieval for Large Language Models. CIKM 2024: 1930-1940 - [c76]Xin Yang, Heng Chang, Zhijian Lai, Jinze Yang, Xingrun Li, Yu Lu, Shuaiqiang Wang, Dawei Yin, Erxue Min:
Hyperbolic Contrastive Learning for Cross-Domain Recommendation. CIKM 2024: 2920-2929 - [c75]Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin:
Improving the Robustness of Large Language Models via Consistency Alignment. LREC/COLING 2024: 8931-8941 - [c74]Hao Sun, Jiayi Wu, Hengyi Cai, Xiaochi Wei, Yue Feng, Bo Wang, Shuaiqiang Wang, Yan Zhang, Dawei Yin:
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning. EMNLP 2024: 8052-8062 - [c73]Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Pengjie Ren, Suzan Verberne, Zhaochun Ren:
Learning to Use Tools via Cooperative and Interactive Agents. EMNLP (Findings) 2024: 10642-10657 - [c72]Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha:
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator. EMNLP 2024: 10902-10919 - [c71]Weiwei Sun, Zhengliang Shi, Wu Long, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren:
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. EMNLP 2024: 14044-14067 - [c70]Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. EMNLP 2024: 14535-14556 - [c69]Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao:
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. ICML 2024 - [c68]Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract). IJCAI 2024: 8433-8438 - [c67]Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin:
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract). IJCAI 2024: 8439-8443 - [c66]Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
HiGPT: Heterogeneous Graph Language Model. KDD 2024: 2842-2853 - [c65]Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
UrbanGPT: Spatio-Temporal Large Language Models. KDD 2024: 5351-5362 - [c64]Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li:
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. KDD 2024: 6491-6501 - [c63]Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang:
A Survey of Large Language Models for Graphs. KDD 2024: 6616-6626 - [c62]Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin:
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion. NAACL-HLT 2024: 2498-2518 - [c61]Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin:
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method. NAACL-HLT 2024: 7051-7063 - [c60]Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin:
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. NeurIPS 2024 - [c59]Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma:
Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback. SIGIR 2024: 48-58 - [c58]Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang:
GraphGPT: Graph Instruction Tuning for Large Language Models. SIGIR 2024: 491-500 - [c57]Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang:
AgentIR: 1st Workshop on Agent-based Information Retrieval. SIGIR 2024: 3025-3028 - [c56]Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang:
LLMRec: Large Language Models with Graph Augmentation for Recommendation. WSDM 2024: 806-815 - [c55]Chao Huang, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla:
Large Language Models for Graphs: Progresses and Directions. WWW (Companion Volume) 2024: 1284-1287 - [c54]Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang:
Representation Learning with Large Language Models for Recommendation. WWW 2024: 3464-3475 - [i66]Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. CoRR abs/2402.11176 (2024) - [i65]Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
HiGPT: Heterogeneous Graph Language Model. CoRR abs/2402.16024 (2024) - [i64]Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
UrbanGPT: Spatio-Temporal Large Language Models. CoRR abs/2403.00813 (2024) - [i63]Zhengliang Shi, Shen Gao, Xiuyi Chen, Lingyong Yan, Haibo Shi, Dawei Yin, Zhumin Chen, Pengjie Ren, Suzan Verberne, Zhaochun Ren:
Learning to Use Tools via Cooperative and Interactive Agents. CoRR abs/2403.03031 (2024) - [i62]Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin:
Improving the Robustness of Large Language Models via Consistency Alignment. CoRR abs/2403.14221 (2024) - [i61]Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin:
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification. CoRR abs/2403.17421 (2024) - [i60]Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li:
Graph Machine Learning in the Era of Large Language Models (LLMs). CoRR abs/2404.14928 (2024) - [i59]Guanying Jiang, Lingyong Yan, Haibo Shi, Dawei Yin:
The Real, the Better: Aligning Large Language Models with Online Human Behaviors. CoRR abs/2405.00578 (2024) - [i58]Yujuan Ding, Wenqi Fan, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li:
A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models. CoRR abs/2405.06211 (2024) - [i57]Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang:
A Survey of Large Language Models for Graphs. CoRR abs/2405.08011 (2024) - [i56]Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin:
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. CoRR abs/2405.14702 (2024) - [i55]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models. CoRR abs/2405.16089 (2024) - [i54]Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Zhumin Chen, Suzan Verberne, Zhaochun Ren:
Chain of Tools: Large Language Model is an Automatic Multi-tool Learner. CoRR abs/2405.16533 (2024) - [i53]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
Tool Learning with Large Language Models: A Survey. CoRR abs/2405.17935 (2024) - [i52]Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha:
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator. CoRR abs/2405.18111 (2024) - [i51]Yiqun Chen, Qi Liu, Yi Zhang, Weiwei Sun, Daiting Shi, Jiaxin Mao, Dawei Yin:
TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. CoRR abs/2406.11678 (2024) - [i50]Xin Yang, Heng Chang, Zhijian Lai, Jinze Yang, Xingrun Li, Yu Lu, Shuaiqiang Wang, Dawei Yin, Erxue Min:
Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System. CoRR abs/2406.17289 (2024) - [i49]Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal:
When Search Engine Services meet Large Language Models: Visions and Challenges. CoRR abs/2407.00128 (2024) - [i48]Xihong Yang, Heming Jing, Zixing Zhang, Jindong Wang, Huakang Niu, Shuaiqiang Wang, Yu Lu, Junfeng Wang, Dawei Yin, Xinwang Liu, En Zhu, Defu Lian, Erxue Min:
DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. CoRR abs/2408.08231 (2024) - [i47]Zhonghang Li, Long Xia, Lei Shi, Yong Xu, Dawei Yin, Chao Huang:
OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction. CoRR abs/2408.10269 (2024) - [i46]Jiongnan Liu, Yutao Zhu, Shuting Wang, Xiaochi Wei, Erxue Min, Yu Lu, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou:
LLMs + Persona-Plug = Personalized LLMs. CoRR abs/2409.11901 (2024) - [i45]Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin:
Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract). CoRR abs/2409.16590 (2024) - [i44]Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract). CoRR abs/2409.16594 (2024) - [i43]Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke:
Information Discovery in e-Commerce. CoRR abs/2410.05763 (2024) - [i42]Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization. CoRR abs/2410.07672 (2024) - [i41]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. CoRR abs/2410.08197 (2024) - [i40]Weiwei Sun, Zhengliang Shi, Jiulong Wu, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren:
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. CoRR abs/2410.10127 (2024) - [i39]Fan Liu, Yue Feng, Zhao Xu, Lixin Su, Xinyu Ma, Dawei Yin, Hao Liu:
JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework. CoRR abs/2410.12855 (2024) - [i38]Hao Sun, Jiayi Wu, Hengyi Cai, Xiaochi Wei, Yue Feng, Bo Wang, Shuaiqiang Wang, Yan Zhang, Dawei Yin:
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning. CoRR abs/2410.13181 (2024) - [i37]Jiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun, Xiang Li, Shuaiqiang Wang, Dawei Yin, Ming Gao:
PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization. CoRR abs/2412.14510 (2024) - [i36]Wenhan Liu, Xinyu Ma, Yutao Zhu, Ziliang Zhao, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou:
Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models. CoRR abs/2412.14574 (2024) - 2023
- [j5]Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang:
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. SIGKDD Explor. 25(2): 42-61 (2023) - [j4]Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin:
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search. IEEE Trans. Knowl. Data Eng. 35(12): 12542-12555 (2023) - [c53]Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren:
Feature-Level Debiased Natural Language Understanding. AAAI 2023: 13353-13361 - [c52]Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL (1) 2023: 10696-10711 - [c51]Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma:
I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. CIKM 2023: 441-451 - [c50]Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang:
DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. CIKM 2023: 5304-5307 - [c49]Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search. DSAA 2023: 1-2 - [c48]Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren:
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. EMNLP 2023: 14918-14937 - [c47]Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin:
DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment. EMNLP (Findings) 2023: 15128-15145 - [c46]Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin:
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale. ICDM 2023: 339-348 - [c45]Rong Huang, Danfeng Zhang, Weixue Lu, Han Li, Meng Wang, Daiting Shi, Jun Fan, Zhicong Cheng, Simiu Gu, Dawei Yin:
Learning Discrete Document Representations in Web Search. KDD 2023: 4185-4194 - [c44]Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data. KDD 2023: 4437-4448 - [c43]Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren:
Learning to Tokenize for Generative Retrieval. NeurIPS 2023 - [c42]Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. NeurIPS 2023 - [c41]Zechun Niu, Jiaxin Mao, Qingyao Ai, Lixin Zou, Shuaiqiang Wang, Dawei Yin:
Overview of the NTCIR-17 Unbiased Learning to Rank Evaluation 2 (ULTRE-2) Task. NTCIR 2023 - [c40]Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin:
LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search. ECML/PKDD (6) 2023: 635-651 - [c39]Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang:
Disentangled Contrastive Collaborative Filtering. SIGIR 2023: 1137-1146 - [c38]Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin:
Graph Enhanced BERT for Query Understanding. SIGIR 2023: 3315-3319 - [c37]Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Jingsen Zhang, Dawei Yin:
Sequential Recommendation with User Evolving Preference Decomposition. SIGIR-AP 2023: 253-263 - [i35]Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren:
Learning to Tokenize for Generative Retrieval. CoRR abs/2304.04171 (2023) - [i34]Weiwei Sun, Lingyong Yan, Xinyu Ma, Pengjie Ren, Dawei Yin, Zhaochun Ren:
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent. CoRR abs/2304.09542 (2023) - [i33]Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang:
Disentangled Contrastive Collaborative Filtering. CoRR abs/2305.02759 (2023) - [i32]Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma:
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. CoRR abs/2306.02371 (2023) - [i31]Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. CoRR abs/2306.10453 (2023) - [i30]Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang:
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs. CoRR abs/2307.03393 (2023) - [i29]Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma:
Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback. CoRR abs/2309.17078 (2023) - [i28]Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang:
GraphGPT: Graph Instruction Tuning for Large Language Models. CoRR abs/2310.13023 (2023) - [i27]Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang:
Representation Learning with Large Language Models for Recommendation. CoRR abs/2310.15950 (2023) - [i26]Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin:
DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment. CoRR abs/2310.16319 (2023) - [i25]Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin:
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method. CoRR abs/2310.17918 (2023) - [i24]Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin:
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion. CoRR abs/2310.19056 (2023) - [i23]Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang:
LLMRec: Large Language Models with Graph Augmentation for Recommendation. CoRR abs/2311.00423 (2023) - [i22]Weiwei Sun, Zheng Chen, Xinyu Ma, Lingyong Yan, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren:
Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers. CoRR abs/2311.01555 (2023) - [i21]Xiaopeng Li, Lixin Su, Pengyue Jia, Xiangyu Zhao, Suqi Cheng, Junfeng Wang, Dawei Yin:
Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM. CoRR abs/2312.15450 (2023) - 2022
- [j3]Wenqi Fan, Yao Ma, Qing Li, Jianping Wang, Guoyong Cai, Jiliang Tang, Dawei Yin:
A Graph Neural Network Framework for Social Recommendations. IEEE Trans. Knowl. Data Eng. 34(5): 2033-2047 (2022) - [c36]Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin:
Self-Supervised Learning for Recommendation. CIKM 2022: 5136-5139 - [c35]Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang:
Hypergraph Contrastive Collaborative Filtering. SIGIR 2022: 70-79 - [c34]Chao Huang, Xiang Wang, Xiangnan He, Dawei Yin:
Self-Supervised Learning for Recommender System. SIGIR 2022: 3440-3443 - [c33]Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang:
DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. SIGIR 2022: 3488-3491 - [c32]Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin:
Contrastive Meta Learning with Behavior Multiplicity for Recommendation. WSDM 2022: 1120-1128 - [i20]Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin:
Contrastive Meta Learning with Behavior Multiplicity for Recommendation. CoRR abs/2202.08523 (2022) - [i19]Weiqi Shao, Xu Chen, Long Xia, Jiashu Zhao, Dawei Yin:
Sequential Recommendation with User Evolving Preference Decomposition. CoRR abs/2203.16942 (2022) - [i18]Juan-Hui Li, Yao Ma, Wei Zeng, Suqi Cheng, Jiliang Tang, Shuaiqiang Wang, Dawei Yin:
Graph Enhanced BERT for Query Understanding. CoRR abs/2204.06522 (2022) - [i17]Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy Xiangji Huang:
Hypergraph Contrastive Collaborative Filtering. CoRR abs/2204.12200 (2022) - [i16]Juan-Hui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? CoRR abs/2205.10652 (2022) - [i15]Shichao Zhu, Chuan Zhou, Anfeng Cheng, Shirui Pan, Shuaiqiang Wang, Dawei Yin, Bin Wang:
Geometry Contrastive Learning on Heterogeneous Graphs. CoRR abs/2206.12547 (2022) - [i14]Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren:
Feature-Level Debiased Natural Language Understanding. CoRR abs/2212.05421 (2022) - 2021
- [c31]Chao Huang, Jiashu Zhao, Dawei Yin:
Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks. ICDE 2021: 2488-2498 - [c30]Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang:
DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval. SIGIR 2021: 2681-2684 - [i13]Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin:
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. CoRR abs/2110.04039 (2021) - [i12]Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin:
Learning Reinforced Dynamic Representations for Sequential Recommendation. CoRR abs/2112.02787 (2021) - 2020
- [j2]Xiao Huang, Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke:
Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020. SIGIR Forum 54(1): 6:1-6:5 (2020) - [j1]Xu Chen, Kun Xiong, Yongfeng Zhang, Long Xia, Dawei Yin, Jimmy Xiangji Huang:
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network. ACM Trans. Inf. Syst. 39(1): 8:1-8:22 (2020) - [c29]Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin:
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. ICDM 2020: 701-710 - [c28]Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen:
Reinforcement Learning to Rank with Pairwise Policy Gradient. SIGIR 2020: 509-518 - [c27]Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, Dawei Yin:
Streaming Graph Neural Networks. SIGIR 2020: 719-728 - [c26]Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin:
Neural Interactive Collaborative Filtering. SIGIR 2020: 749-758 - [c25]Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin:
Time Matters: Sequential Recommendation with Complex Temporal Information. SIGIR 2020: 1459-1468 - [c24]Hongshen Chen, Zhaochun Ren, Pengjie Ren, Dawei Yin, Xiaodong He:
AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems. SIGIR 2020: 2448-2450 - [c23]Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang, Alex Beutel:
Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances. SIGIR 2020: 2468-2471 - [c22]Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin:
Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. WSDM 2020: 816-824 - [c21]Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke:
NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. WSDM 2020: 907-908 - [c20]Yuanxing Liu, Zhaochun Ren, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Dawei Yin:
Keywords Generation Improves E-Commerce Session-based Recommendation. WWW 2020: 1604-1614 - [i11]Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin:
Neural Interactive Collaborative Filtering. CoRR abs/2007.02095 (2020)
2010 – 2019
- 2019
- [c19]Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin:
Spectral Clustering in Heterogeneous Information Networks. AAAI 2019: 4221-4228 - [c18]Lixin Zou, Long Xia, Zhuoye Ding, Dawei Yin, Jiaxing Song, Weidong Liu:
Reinforcement Learning to Diversify Top-N Recommendation. DASFAA (2) 2019: 104-120 - [c17]Weijian Chen, Yulong Gu, Zhaochun Ren, Xiangnan He, Hongtao Xie, Tong Guo, Dawei Yin, Yongdong Zhang:
Semi-supervised User Profiling with Heterogeneous Graph Attention Networks. IJCAI 2019: 2116-2122 - [c16]Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin:
Off-policy Learning for Multiple Loggers. KDD 2019: 1184-1193 - [c15]Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla:
Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. KDD 2019: 2613-2622 - [c14]Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin:
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. KDD 2019: 2810-2818 - [c13]Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li:
Deep social collaborative filtering. RecSys 2019: 305-313 - [c12]Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang:
Multi-dimensional Graph Convolutional Networks. SDM 2019: 657-665 - [c11]Shen Gao, Zhaochun Ren, Yihong Eric Zhao, Dongyan Zhao, Dawei Yin, Rui Yan:
Product-Aware Answer Generation in E-Commerce Question-Answering. WSDM 2019: 429-437 - [c10]Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo:
DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications. WSDM 2019: 844-845 - [c9]Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin:
Graph Neural Networks for Social Recommendation. WWW 2019: 417-426 - [c8]Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin:
MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. WWW 2019: 717-728 - [i10]Shen Gao, Zhaochun Ren, Yihong Eric Zhao, Dongyan Zhao, Dawei Yin, Rui Yan:
Product-Aware Answer Generation in E-Commerce Question-Answering. CoRR abs/1901.07696 (2019) - [i9]Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin:
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. CoRR abs/1902.05570 (2019) - [i8]Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin:
Graph Neural Networks for Social Recommendation. CoRR abs/1902.07243 (2019) - [i7]Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li:
Deep Social Collaborative Filtering. CoRR abs/1907.06853 (2019) - [i6]Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin:
Off-policy Learning for Multiple Loggers. CoRR abs/1907.09652 (2019) - 2018
- [c7]Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, Dawei Yin:
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. ACL (1) 2018: 1437-1447 - [c6]Shuman Liu, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu, Dawei Yin:
Knowledge Diffusion for Neural Dialogue Generation. ACL (1) 2018: 1489-1498 - [c5]Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin:
Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation. CIKM 2018: 1403-1412 - [c4]Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke:
Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial. SIGIR 2018: 1379-1382 - [c3]Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin:
Multi-Dimensional Network Embedding with Hierarchical Structure. WSDM 2018: 387-395 - [c2]Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin:
A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce. WSDM 2018: 619-627 - [c1]Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao, Dawei Yin:
Hierarchical Variational Memory Network for Dialogue Generation. WWW 2018: 1653-1662 - [i5]Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang:
Multi-dimensional Graph Convolutional Networks. CoRR abs/1808.06099 (2018) - [i4]Zhiwei Wang, Yao Ma, Dawei Yin, Jiliang Tang:
Linked Recurrent Neural Networks. CoRR abs/1808.06170 (2018) - [i3]Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin:
Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation. CoRR abs/1808.10596 (2018) - [i2]Yao Ma, Ziyi Guo, Zhaochun Ren, Yihong Eric Zhao, Jiliang Tang, Dawei Yin:
Dynamic Graph Neural Networks. CoRR abs/1810.10627 (2018) - 2017
- [i1]Yao Ma, Suhang Wang, Zhaochun Ren, Dawei Yin, Jiliang Tang:
Preserving Local and Global Information for Network Embedding. CoRR abs/1710.07266 (2017)
Coauthor Index
Xinyv Ma
aka: Xinyu Ma
aka: Xinyu Ma
[c98] [c97] [c95] [c91] [c84] [c79] [i94] [i89] [i83] [i82] [i81] [i80] [i71] [i67] [j11] [c75] [c73] [c71] [c70] [c61] [i66] [i63] [i62] [i54] [i43] [i42] [i40] [c53] [c48] [c47] [c43] [i35] [i34] [i26] [i25] [i22] [i14] [j2] [c27] [c24] [c21] [c20] [c19] [c17] [c11] [c10] [i10] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [i3] [i2] [i1]
[j15] [c100] [c99] [c98] [c97] [c96] [c95] [c93] [c92] [c90] [c88] [c86] [c85] [c84] [i97] [i94] [i93] [i92] [i91] [i89] [i88] [i86] [i85] [i84] [i83] [i82] [i81] [i79] [i78] [i77] [i76] [i75] [i74] [i72] [i71] [i69] [i68] [i67] [j10] [j9] [j7] [j6] [c77] [c76] [c75] [c74] [c70] [c68] [c67] [c62] [c61] [c60] [c59] [i66] [i62] [i56] [i55] [i53] [i50] [i49] [i48] [i46] [i45] [i44] [i41] [i38] [i37] [i36] [j5] [j4] [c51] [c49] [c48] [c47] [c46] [c44] [c43] [c41] [c40] [c38] [i35] [i32] [i30] [i29] [i26] [i25] [i24] [i22] [i18] [i15] [c25]
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