Dawei Yin - RankMe

466 papers A* 111A 47B 7Misc 1Journal 232Unranked 68

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Accurate and Efficient Personalized Query Rewriting in Baidu Search. WWW Xu Chu, Angela Li, Jiaming Zhang, Wei Li, Zhijie Tan, Dawei Yin, Shuaiqiang Wang, Daiting Shi
2026	A*	`conf`	AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization. AAAI Qiyang Li, Rui Kong, Yuchen Li, Hengyi Cai, Shuaiqiang Wang, Linghe Kong, Guihai Chen, Dawei Yin
2026	J	`jnl`	AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization. CoRR Qiyang Li, Rui Kong, Yuchen Li, Hengyi Cai, Shuaiqiang Wang, Linghe Kong, Guihai Chen, Dawei Yin
2026	J	`jnl`	Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models. CoRR Can Xu, Lingyong Yan, Jiayi Wu, Haosen Wang, Shuaiqiang Wang, Yuchen Li, Jizhou Huang, Dawei Yin, Xiang Li
2026	J	`jnl`	Agentic-R: Learning to Retrieve for Agentic Search. CoRR Wenhan Liu, Xinyu Ma, Yutao Zhu, Yuchen Li, Daiting Shi, Dawei Yin, Zhicheng Dou
2026	J	`jnl`	Beyond Monolithic Architectures: A Multi-Agent Search and Knowledge Optimization Framework for Agentic Search. CoRR Yiqun Chen, Lingyong Yan, Zixuan Yang, Erhan Zhang, Jiashu Zhao, Shuaiqiang Wang, Dawei Yin, Jiaxin Mao
2026	A*	`conf`	Beyond ReAct: A Planner-Centric Framework for Complex Tool-Augmented LLM Reasoning. AAAI Xiaolong Wei, Yuehu Dong, Xingliang Wang, Xingyu Zhang, Zhejun Zhao, Dongdong Shen, Long Xia, Dawei Yin
2026	J	`jnl`	Beyond action units: Towards multi-cue facial emotion analysis. Pattern Recognit. Yucheng Shen, Jiulong Wu, Yikai Zhang, Lingyong Yan, Dawei Yin, Min Cao, Mang Ye
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	A*	`conf`	Efficient Thought Space Exploration Through Strategic Intervention. AAAI Ziheng Li, Hengyi Cai, Xiaochi Wei, Yuchen Li, Shuaiqiang Wang, Zhi-Hong Deng, Dawei Yin
2026	J	`jnl`	FlexSpec: Frozen Drafts Meet Evolving Targets in Edge-Cloud Collaborative LLM Speculative Decoding. CoRR Yuchen Li, Rui Kong, Zhonghao Lyu, Qiyang Li, Xinran Chen, Hengyi Cai, Lingyong Yan, Shuaiqiang Wang, Jiashu Zhao, Guangxu Zhu, Linghe Kong, Guihai Chen, Haoyi Xiong, Dawei Yin
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	—	`conf`	LLM-Based Listwise Reranking Under the Effect of Positional Bias. ECIR (1) Jingfen Qiao, Jin Huang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Evangelos Kanoulas, Andrew Yates
2026	J	`jnl`	MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching. CoRR Changle Qu, Sunhao Dai, Hengyi Cai, Jun Xu, Shuaiqiang Wang, Dawei Yin
2026	A*	`conf`	Model Editing for New Document Integration in Generative Information Retrieval. WWW Zhen Zhang, Zihan Wang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Xin Xin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren
2026	J	`jnl`	Model Editing for New Document Integration in Generative Information Retrieval. CoRR Zhen Zhang, Zihan Wang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Xin Xin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren
2026	J	`jnl`	Not All Preferences Are Created Equal: Stability-Aware and Gradient-Efficient Alignment for Reasoning Models. CoRR Hui Wu, Hengyi Cai, Jinman Zhao, Xinran Chen, Ziheng Li, Zhejun Zhao, Shuaiqiang Wang, Yuchen Li, Dawei Yin
2026	A*	`conf`	Probe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search. WWW Yuchen Li, Rui Kong, Xinran Chen, Chengzhe Zhang, Jiamin Chen, Cheng Deng, Xinyu Ma, Haojie Zhang, Tianhao Peng, Hengyi Cai, Shuaiqiang Wang, Jiashu Zhao, Yongqi Zhang, Haoyi Xiong, Jimmy Xiangji Huang, Lei Chen, Jun Wang, Dawei Yin
2026	J	`jnl`	Qianfan-OCR: A Unified End-to-End Model for Document Intelligence. CoRR Daxiang Dong, Mingming Zheng, Dong Xu, Chunhua Luo, Bairong Zhuang, Yuxuan Li, Ruoyun He, Haoran Wang, Wenyu Zhang, Wenbo Wang, Yicheng Wang, Xue Xiong, Ayong Zheng, Xiaoying Zuo, Ziwei Ou, Jingnan Gu, Quanhao Guo, Jianmin Wu, Dawei Yin, Dou Shen
2026	J	`jnl`	Reconstructing Content via Collaborative Attention to Improve Multimodal Embedding Quality. CoRR Jiahan Chen, Da Li, Hengran Zhang, Yinqiong Cai, Lixin Su, Jiafeng Guo, Daiting Shi, Dawei Yin, Keping Bi
2026	J	`jnl`	Reinforced Efficient Reasoning via Semantically Diverse Exploration. CoRR Ziqi Zhao, Zhaochun Ren, Jiahong Zou, Liu Yang, Zhiwei Xu, Xuri Ge, Zhumin Chen, Xinyu Ma, Daiting Shi, Shuaiqiang Wang, Dawei Yin, Xin Xin
2026	—	`conf`	Retain to Refine: Adaptive Online Question Answering via Query Routing and Long-Short Memory. KDD (1) Yuchen Li, Jiamin Chen, Xinran Chen, Zhiyu Li, Haojie Zhang, Rui Kong, Jiayi Li, Xinyu Ma, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Jiashu Zhao, Yongqi Zhang, Haoyi Xiong, Linghe Kong, Lei Chen, Dawei Yin
2026	J	`jnl`	S$^{3}$PRank: Toward Satisfaction-Oriented Learning to Rank With Semi-Supervised Pre-Training. IEEE Trans. Knowl. Data Eng. Yuchen Li, Zhonghao Lyu, Yongqi Zhang, Hao Zhang, Tianhao Peng, Haoyi Xiong, Shuaiqiang Wang, Linghe Kong, Guihai Chen, Dawei Yin
2026	A*	`conf`	Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning. AAAI Wenda Wei, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Lixin Su, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Xueqi Cheng
2026	A	`conf`	Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs. WSDM Jiani Huang, Shijie Wang, Liangbo Ning, Wenqi Fan, Shuaiqiang Wang, Dawei Yin, Qing Li
2026	—	`conf`	VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos. KDD (1) Xubin Ren, Lingrui Xu, Long Xia, Shuaiqiang Wang, Dawei Yin, Chao Huang
2025	J	`jnl`	A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation. CoRR Ziyang Chen, Erxue Min, Xiang Zhao, Yunxin Li, Xin Jia, Jinzhi Liao, Jichao Li, Shuaiqiang Wang, Baotian Hu, Dawei Yin
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	A	`conf`	Advancing Temporal Sensitive Question Answering through Progressive Multi-Step Reflection. CIKM Ziyang Chen, Erxue Min, Xiang Zhao, Yunxin Li, Xin Jia, Jinzhi Liao, Shuaiqiang Wang, Baotian Hu, Dawei Yin
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`	An Efficient Framework for Whole-Page Reranking via Single-Modal Supervision. CoRR Zishuai Zhang, Sihao Yu, Wenyi Xie, Ying Nie, Junfeng Wang, Zhiming Zheng, Dawei Yin, Hainan Zhang
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`	Beyond ReAct: A Planner-Centric Framework for Complex Tool-Augmented LLM Reasoning. CoRR Xiaolong Wei, Yuehu Dong, Xingliang Wang, Xingyu Zhang, Zhejun Zhao, Dongdong Shen, Long Xia, Dawei Yin
2025	A	`conf`	CLUE: Using Large Language Models for Judging Document Usefulness in Web Search Evaluation. CIKM Xingzhu Wang, Erhan Zhang, Yiqun Chen, Jinghan Xuan, Yucheng Hou, Yitong Xu, Ying Nie, Shuaiqiang Wang, Dawei Yin, Jiaxin Mao
2025	J	`jnl`	COOPER: A Unified Model for Cooperative Perception and Reasoning in Spatial Intelligence. CoRR Zefeng Zhang, Xiangzhao Hao, Hengzhu Tang, Zhenyu Zhang, Jiawei Sheng, Xiaodong Li, Zhenyang Li, Li Gao, Daiting Shi, Dawei Yin, Tingwen Liu
2025	—	`conf`	CTR-Guided Generative Query Suggestion in Conversational Search. EMNLP (Industry Track) Erxue Min, Hsiu-Yuan Huang, Xihong Yang, Min Yang, Xin Jia, Yunfang Wu, Hengyi Cai, Junfeng Wang, Shuaiqiang Wang, Dawei Yin
2025	J	`jnl`	CTR-Guided Generative Query Suggestion in Conversational Search. CoRR Erxue Min, Hsiu-Yuan Huang, Xihong Yang, Min Yang, Xin Jia, Yunfang Wu, Hengyi Cai, Junfeng Wang, Shuaiqiang Wang, Dawei Yin
2025	J	`jnl`	Can LLM Annotations Replace User Clicks for Learning to Rank? CoRR Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2025	—	`conf`	CoRanking: Collaborative Ranking with Small and Large Ranking Agents. EMNLP (Findings) Wenhan Liu, Xinyu Ma, Yutao Zhu, Lixin Su, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou
2025	J	`jnl`	CoRanking: Collaborative Ranking with Small and Large Ranking Agents. CoRR Wenhan Liu, Xinyu Ma, Yutao Zhu, Lixin Su, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou
2025	J	`jnl`	Contrastive Modality-Disentangled Learning for Multimodal Recommendation. ACM Trans. Inf. Syst. Xixun Lin, Rui Liu, Yanan Cao, Lixin Zou, Qian Li, Yongxuan Wu, Yang Liu, Dawei Yin, Guandong Xu
2025	J	`jnl`	CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs. CoRR Yongcheng Zeng, Zexu Sun, Bokai Ji, Erxue Min, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Haifeng Zhang, Xu Chen, Jun Wang
2025	J	`jnl`	Curriculum Approximate Unlearning for Session-based Recommendation. CoRR Liu Yang, Zhaochun Ren, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Xinyi Li, Shuaiqiang Wang, Dawei Yin, Xin Xin
2025	J	`jnl`	DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models. CoRR Zihao Li, Ruixiang Tang, Lu Cheng, Shuaiqiang Wang, Dawei Yin, Mengnan Du
2025	J	`jnl`	DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models. SIGKDD Explor. Zihao Li, Ruixiang Tang, Lu Cheng, Shuaiqiang Wang, Dawei Yin, Mengnan Du
2025	A*	`conf`	DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. ICDE 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
2025	A*	`conf`	Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization. CVPR Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, Yiming Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu
2025	J	`jnl`	Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization. CoRR Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, Yiming Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu
2025	J	`jnl`	DiffuGR: Generative Document Retrieval with Diffusion Language Models. CoRR Xinpeng Zhao, Yukun Zhao, Zhenyang Li, Mengqi Zhang, Jun Feng, Ran Chen, Ying Zhou, Zhumin Chen, Shuaiqiang Wang, Zhaochun Ren, Dawei Yin, Xin Xin
2025	J	`jnl`	Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models. CoRR Zhengliang Shi, Lingyong Yan, Weiwei Sun, Yue Feng, Pengjie Ren, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren
2025	—	`conf`	Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation. SIGIR-AP Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2025	J	`jnl`	Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation. CoRR Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2025	—	`conf`	Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation. ACL (1) Dongsheng Zhu, Weixian Shi, Zhengliang Shi, Zhaochun Ren, Shuaiqiang Wang, Lingyong Yan, Dawei Yin
2025	J	`jnl`	Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation. CoRR Dongsheng Zhu, Weixian Shi, Zhengliang Shi, Zhaochun Ren, Shuaiqiang Wang, Lingyong Yan, Dawei Yin
2025	J	`jnl`	Efficient Thought Space Exploration through Strategic Intervention. CoRR Ziheng Li, Hengyi Cai, Xiaochi Wei, Yuchen Li, Shuaiqiang Wang, Zhi-Hong Deng, Dawei Yin
2025	—	`conf`	Enhancing Retrieval-Augmented Generation via Evidence Tree Search. ACL (1) Hao Sun, Hengyi Cai, Yuchen Li, Xuanbo Fan, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin
2025	—	`conf`	Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. KDD (1) Xiaodong Li, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu
2025	J	`jnl`	Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. CoRR Xiaodong Li, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu
2025	—	`conf`	FULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking. KDD (2) Yuchen Li, Hao Zhang, Haojie Zhang, Hengyi Cai, Xinyu Ma, Shuaiqiang Wang, Haoyi Xiong, Zhaochun Ren, Maarten de Rijke, Dawei Yin
2025	A*	`conf`	From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. ICLR Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
2025	J	`jnl`	From Prompting to Alignment: A Generative Framework for Query Recommendation. CoRR Erxue Min, Hsiu-Yuan Huang, Min Yang, Xihong Yang, Xin Jia, Yunfang Wu, Hengyi Cai, Shuaiqiang Wang, Dawei Yin
2025	—	`conf`	Generative Retrieval for Book Search. KDD (1) Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2025	J	`jnl`	Generative Retrieval for Book search. CoRR Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqing Wang, Dawei Yin, Xueqi Cheng
2025	J	`jnl`	Graph Foundation Models for Recommendation: A Comprehensive Survey. CoRR Bin Wu, Yihang Wang, Yuanhao Zeng, Jiawei Liu, Jiashu Zhao, Cheng Yang, Yawen Li, Long Xia, Dawei Yin, Chuan Shi
2025	J	`jnl`	Graph Machine Learning in the Era of Large Language Models (LLMs). ACM Trans. Intell. Syst. Technol. Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Wenqi Fan, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
2025	J	`jnl`	Grounding Long-Context Reasoning with Contextual Normalization for Retrieval-Augmented Generation. CoRR Jiamin Chen, Yuchen Li, Xinyu Ma, Xinran Chen, Xiaokun Zhang, Shuaiqiang Wang, Chen Ma, Dawei Yin
2025	A*	`conf`	Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering. ICML Xin Yang, Xingrun Li, Heng Chang, Jinze Yang, Xihong Yang, Shengyu Tao, Maiko Shigeno, Ningkang Chang, Junfeng Wang, Dawei Yin, Erxue Min
2025	J	`jnl`	Hgformer: Hyperbolic Graph Transformer for Recommendation. CoRR Xin Yang, Xingrun Li, Heng Chang, Jinze Yang, Xihong Yang, Shengyu Tao, Ningkang Chang, Maiko Shigeno, Junfeng Wang, Dawei Yin, Erxue Min
2025	J	`jnl`	IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection. Neural Networks Yanan Cao, Fengzhao Shi, Qing Yu, Xixun Lin, Chuan Zhou, Lixin Zou, Peng Zhang, Zhao Li, Dawei Yin
2025	A*	`conf`	Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards. EMNLP Xiaolong Wei, Bo Lu, Xingyu Zhang, Zhejun Zhao, Dongdong Shen, Long Xia, Dawei Yin
2025	J	`jnl`	Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards. CoRR Xiaolong Wei, Bo Lu, Xingyu Zhang, Zhejun Zhao, Dongdong Shen, Long Xia, Dawei Yin
2025	J	`jnl`	Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning. CoRR Yiqun Chen, Lingyong Yan, Weiwei Sun, Xinyu Ma, Yi Zhang, Shuaiqiang Wang, Dawei Yin, Yiming Yang, Jiaxin Mao
2025	A*	`conf`	InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct. AAAI Yutong Wu, Di Huang, Wenxuan Shi, Wei Wang, Yewen Pu, Lingzhe Gao, Shihao Liu, Ziyuan Nan, Kaizhao Yuan, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Dawei Yin, Xing Hu, Yunji Chen
2025	J	`jnl`	Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers. CoRR Zhengliang Shi, Lingyong Yan, Dawei Yin, Suzan Verberne, Maarten de Rijke, Zhaochun Ren
2025	J	`jnl`	Joint Flashback Adaptation for Forgetting-Resistant Instruction Tuning. CoRR Yukun Zhao, Lingyong Yan, Zhenyang Li, Shuaiqiang Wang, Zhumin Chen, Zhaochun Ren, Dawei Yin
2025	—	`conf`	Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation. ACL (1) Shijie Wang, Wenqi Fan, Yue Feng, Shanru Lin, Xinyu Ma, Shuaiqiang Wang, Dawei Yin
2025	J	`jnl`	Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation. CoRR Shijie Wang, Wenqi Fan, Yue Feng, Xinyu Ma, Shuaiqiang Wang, Dawei Yin
2025	J	`jnl`	LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation. CoRR Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2025	—	`conf`	LLMs + Persona-Plug = Personalized LLMs. ACL (1) Jiongnan Liu, Yutao Zhu, Shuting Wang, Xiaochi Wei, Erxue Min, Yu Lu, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou
2025	—	`conf`	Large Language Model for E-Commerce Workshop. WWW (Companion Volume) Haoyu Han, Xianfeng Tang, Jing Huang, Monica Xiao Cheng, Omar Alonso, Hanqing Lu, Zhen Li, Chen Luo, Dawei Yin, Jiliang Tang
2025	A	`conf`	Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search. CIKM Zeyu Xiong, Yixuan Nan, Li Gao, Hengzhu Tang, Shuaiqiang Wang, Junfeng Wang, Dawei Yin
2025	J	`jnl`	Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search. CoRR Zeyu Xiong, Yixuan Nan, Li Gao, Hengzhu Tang, Shuaiqiang Wang, Junfeng Wang, Dawei Yin
2025	J	`jnl`	Leveraging LLMs for Utility-Focused Annotation: Reducing Manual Effort for Retrieval and RAG. CoRR Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng
2025	J	`jnl`	Leveraging LLMs to Evaluate Usefulness of Document. CoRR Xingzhu Wang, Erhan Zhang, Yiqun Chen, Jinghan Xuan, Yucheng Hou, Yitong Xu, Ying Nie, Shuaiqiang Wang, Dawei Yin, Jiaxin Mao
2025	A*	`conf`	M ICDE Yuchen Li, Hao Zhang, Yongqi Zhang, Xinyu Ma, Wenwen Ye, Naifei Song, Shuaiqiang Wang, Haoyi Xiong, Dawei Yin, Lei Chen
2025	A*	`conf`	MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification. WWW Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin
2025	A*	`conf`	MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization. ICLR Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren
2025	J	`jnl`	MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation. CoRR Yiqun Chen, Erhan Zhang, Lingyong Yan, Shuaiqiang Wang, Jizhou Huang, Dawei Yin, Jiaxin Mao
2025	A*	`conf`	MARA: A Multimodal Adaptive Retrieval-Augmented Framework for Document Question Answering. ACM Multimedia Hui Wu, Haoquan Zhai, Yuchen Li, Hengyi Cai, Peirong Zhang, Yidan Zhang, Lei Wang, Chunle Wang, Yingyan Hou, Shuaiqiang Wang, Dawei Yin
2025	J	`jnl`	MathReal: We Keep It Real! A Real Scene Benchmark for Evaluating Math Reasoning in Multimodal Large Language Models. CoRR Jun Feng, Zixin Wang, ZhenTao Zhang, Yue Guo, Zhihan Zhou, Xiuyi Chen, Zhenyang Li, Dawei Yin
2025	A*	`conf`	Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization. EMNLP Jiulong Wu, Zhengliang Shi, Shuaiqiang Wang, Jizhou Huang, Dawei Yin, Lingyong Yan, Min Cao, Min Zhang
2025	J	`jnl`	Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization. CoRR Jiulong Wu, Zhengliang Shi, Shuaiqiang Wang, Jizhou Huang, Dawei Yin, Lingyong Yan, Min Cao, Min Zhang
2025	—	`conf`	Multi-Agent Proactive Information Seeking with Adaptive LLM Orchestration for Non-Factoid Question Answering. KDD (2) Xinran Chen, Yuchen Li, Hengyi Cai, Zhuoran Ma, Xuanang Chen, Haoyi Xiong, Shuaiqiang Wang, Ben He, Le Sun, Dawei Yin
2025	—	`conf`	Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search. KDD (1) Hengzhu Tang, Zefeng Zhang, Zhiping Li, Zhenyu Zhang, Xing Wu, Li Gao, Suqi Cheng, Dawei Yin
2025	J	`jnl`	Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search. CoRR Hengzhu Tang, Zefeng Zhang, Zhiping Li, Zhenyu Zhang, Xing Wu, Li Gao, Suqi Cheng, Dawei Yin
2025	J	`jnl`	Multi-turn Jailbreaking via Global Refinement and Active Fabrication. CoRR Hua Tang, Lingyong Yan, Yukun Zhao, Shuaiqiang Wang, Jizhou Huang, Dawei Yin
2025	—	`conf`	PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization. NAACL (Long Papers) Jiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun, Xiang Li, Shuaiqiang Wang, Dawei Yin, Ming Gao
2025	J	`jnl`	PRADA: Pre-Train Ranking Models With Diverse Relevance Signals Mined From Search Logs. IEEE Trans. Knowl. Data Eng. Shuting Wang, Zhicheng Dou, Kexiang Wang, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin, Ji-Rong Wen
2025	—	`conf`	Proactive Guidance of Multi-Turn Conversation in Industrial Search. ACL (6) Xiaoyu Li, Xiao Li, Li Gao, Yiding Liu, Xiaoyang Wang, Shuaiqiang Wang, Junfeng Wang, Dawei Yin
2025	J	`jnl`	Proactive Guidance of Multi-Turn Conversation in Industrial Search. CoRR Xiaoyu Li, Xiao Li, Li Gao, Yiding Liu, Xiaoyang Wang, Shuaiqiang Wang, Junfeng Wang, Dawei Yin
2025	J	`jnl`	QianfanHuijin Technical Report: A Novel Multi-Stage Training Paradigm for Finance Industrial LLMs. CoRR Shupeng Li, Weipeng Lu, Linyun Liu, Chen Lin, Shaofei Li, Zhendong Tan, Hanjun Zhong, Yucheng Zeng, Chenghao Zhu, Mengyue Liu, Daxiang Dong, Jianmin Wu, Yunting Xiao, Annan Li, Danyu Liu, Jingnan Zhang, Licen Liu, Dawei Yin, Dou Shen
2025	—	`conf`	RACQC: Advanced Retrieval-Augmented Generation for Chinese Query Correction. EMNLP (Findings) Jinbo Su, Lingzhe Gao, Wei Li, Shihao Liu, Haojie Lei, Xinyi Wang, Yuanzhao Guo, Ke Wang, Daiting Shi, Dawei Yin
2025	—	`conf`	RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search. KDD (1) Yuchen Li, Haoyi Xiong, Yongqi Zhang, Jiang Bian, Tianhao Peng, Xuhong Li, Shuaiqiang Wang, Linghe Kong, Dawei Yin
2025	—	`conf`	RankExpert: A Mixture of Textual-and-Behavioral Experts for Multi-Objective Learning-to-Rank in Web Search. KDD (2) Yuchen Li, Hao Zhang, Yongqi Zhang, Hengyi Cai, Mingxin Cai, Shuaiqiang Wang, Haoyi Xiong, Linghe Kong, Dawei Yin, Lei Chen
2025	J	`jnl`	ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability. CoRR Wenhan Liu, Xinyu Ma, Weiwei Sun, Yutao Zhu, Yuchen Li, Dawei Yin, Zhicheng Dou
2025	J	`jnl`	Reasoning-enhanced Query Understanding through Decomposition and Interpretation. CoRR Yunfei Zhong, Jun Yang, Yixing Fan, Jiafeng Guo, Lixin Su, Maarten de Rijke, Ruqing Zhang, Dawei Yin, Xueqi Cheng
2025	A*	`conf`	Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking. EMNLP Junda Zhu, Lingyong Yan, Shuaiqiang Wang, Dawei Yin, Lei Sha
2025	J	`jnl`	Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking. CoRR Junda Zhu, Lingyong Yan, Shuaiqiang Wang, Dawei Yin, Lei Sha
2025	A*	`conf`	Replication and Exploration of Generative Retrieval over Dynamic Corpora. SIGIR Zhen Zhang, Xinyu Ma, Weiwei Sun, Pengjie Ren, Zhumin Chen, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren
2025	J	`jnl`	Replication and Exploration of Generative Retrieval over Dynamic Corpora. CoRR Zhen Zhang, Xinyu Ma, Weiwei Sun, Pengjie Ren, Zhumin Chen, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren
2025	—	`conf`	Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models. ACL (Findings) Zhengliang Shi, Yuhan Wang, Lingyong Yan, Pengjie Ren, Shuaiqiang Wang, Dawei Yin, Zhaochun Ren
2025	J	`jnl`	Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models. CoRR Zhengliang Shi, Yuhan Wang, Lingyong Yan, Pengjie Ren, Shuaiqiang Wang, Dawei Yin, Zhaochun Ren
2025	—	`conf`	Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models. ACL (1) Wenhan Liu, Xinyu Ma, Yutao Zhu, Ziliang Zhao, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou
2025	J	`jnl`	Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents. CoRR Heyang Gao, Zexu Sun, Erxue Min, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Xu Chen
2025	J	`jnl`	Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint Scaffolding. CoRR Ziheng Li, Zexu Sun, Jinman Zhao, Erxue Min, Yongcheng Zeng, Hui Wu, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Xu Chen, Zhi-Hong Deng
2025	A*	`conf`	TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning. EMNLP Hang Ni, Fan Liu, Xinyu Ma, Lixin Su, Shuaiqiang Wang, Dawei Yin, Hui Xiong, Hao Liu
2025	J	`jnl`	TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning. CoRR Hang Ni, Fan Liu, Xinyu Ma, Lixin Su, Shuaiqiang Wang, Dawei Yin, Hui Xiong, Hao Liu
2025	J	`jnl`	TURA: Tool-Augmented Unified Retrieval Agent for AI Search. CoRR Zhejun Zhao, Yuehu Dong, Alley Liu, Lixue Zheng, Pingsheng Liu, Dongdong Shen, Long Xia, Jiashu Zhao, Dawei Yin
2025	—	`conf`	Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization. ACL (Findings) Yukun Zhao, Lingyong Yan, Zhenyang Li, Shuaiqiang Wang, Zhumin Chen, Zhaochun Ren, Dawei Yin
2025	—	`conf`	The 2nd Workshop on Large Language Models for E-Commerce. KDD (2) Haoyu Han, Fali Wang, Chen Luo, Hui Liu, Jing Huang, Zhen Li, Zhenwei Dai, Qi He, Yiwei Sun, Dawei Yin, Suhang Wang, Jiliang Tang, Jian Pei, Xianfeng Tang
2025	J	`jnl`	The FM Agent. CoRR Annan Li, Chufan Wu, Zengle Ge, Yee Hin Chong, Zhinan Hou, Lizhe Cao, Cheng Ju, Jianmin Wu, Huaiming Li, Haobo Zhang, Shenghao Feng, Mo Zhao, Fengzhi Qiu, Rui Yang, Mengmeng Zhang, Wenyi Zhu, Yingying Sun, Quan Sun, Shunhao Yan, Danyu Liu, Dawei Yin, Dou Shen
2025	—	`conf`	The Mirage of Model Editing: Revisiting Evaluation in the Wild. ACL (1) Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng
2025	J	`jnl`	The Mirage of Model Editing: Revisiting Evaluation in the Wild. CoRR Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng
2025	J	`jnl`	Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning. CoRR Wenda Wei, Yuan Liu, Ruqing Zhang, Jiafeng Guo, Lixin Su, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Xueqi Cheng
2025	A*	`conf`	Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents. WWW Zhengliang Shi, Shen Gao, Lingyong Yan, Yue Feng, Xiuyi Chen, Zhumin Chen, Dawei Yin, Suzan Verberne, Zhaochun Ren
2025	J	`jnl`	Tool learning with large language models: a survey. Frontiers Comput. Sci. Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
2025	A*	`conf`	TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. WWW Yiqun Chen, Qi Liu, Yi Zhang, Weiwei Sun, Xinyu Ma, Wei Yang, Daiting Shi, Jiaxin Mao, Dawei Yin
2025	J	`jnl`	Towards AI Search Paradigm. CoRR 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
2025	J	`jnl`	Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs. CoRR Jiani Huang, Shijie Wang, Liang-Bo Ning, Wenqi Fan, Shuaiqiang Wang, Dawei Yin, Qing Li
2025	A*	`conf`	Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation. AAAI Shicheng Wang, Hengzhu Tang, Li Gao, Shu Guo, Suqi Cheng, Junfeng Wang, Dawei Yin, Tingwen Liu, Lihong Wang
2025	—	`conf`	Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance. WWW (Companion Volume) Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Dawei Yin, Xueqi Cheng
2025	J	`jnl`	Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance. CoRR Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Dawei Yin, Xueqi Cheng
2025	J	`jnl`	Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling. CoRR Hengran Zhang, Keping Bi, Jiafeng Guo, Xiaojie Sun, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng
2025	—	`conf`	Uplift-RAG: Uplift-Driven Knowledge Preference Alignment for Retrieval-Augmented Generation. EMNLP (Findings) Changle Qu, Sunhao Dai, Hengyi Cai, Yiyang Cheng, Jun Xu, Shuaiqiang Wang, Dawei Yin
2025	A*	`conf`	Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation. EMNLP Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng
2025	—	`conf`	VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification. SIGIR-AP Haosheng Qian, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Qi Chen, Dawei Yin, Xueqi Cheng
2025	J	`jnl`	VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification. CoRR Haosheng Qian, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Qi Chen, Dawei Yin, Xueqi Cheng
2025	J	`jnl`	VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos. CoRR Xubin Ren, Lingrui Xu, Long Xia, Shuaiqiang Wang, Dawei Yin, Chao Huang
2025	J	`jnl`	ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval. CoRR Weiwei Sun, Keyi Kong, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren, Yiming Yang
2024	—	`conf`	A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. NAACL-HLT (Findings) Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024	J	`jnl`	A Simple yet Effective Framework for Active Learning to Rank. Mach. Intell. Res. Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin
2024	A*	`conf`	A Survey of Large Language Models for Graphs. KDD Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang
2024	J	`jnl`	A Survey of Large Language Models for Graphs. CoRR Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang
2024	A*	`conf`	A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. KDD Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li
2024	J	`jnl`	A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models. CoRR Yujuan Ding, Wenqi Fan, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li
2024	A*	`conf`	ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator. EMNLP Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha
2024	J	`jnl`	ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator. CoRR Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha
2024	A*	`conf`	AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning. EMNLP Hao Sun, Jiayi Wu, Hengyi Cai, Xiaochi Wei, Yue Feng, Bo Wang, Shuaiqiang Wang, Yan Zhang, Dawei Yin
2024	J	`jnl`	AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning. CoRR Hao Sun, Jiayi Wu, Hengyi Cai, Xiaochi Wei, Yue Feng, Bo Wang, Shuaiqiang Wang, Yan Zhang, Dawei Yin
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`	COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models. CoRR Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
2024	J	`jnl`	Chain of Tools: Large Language Model is an Automatic Multi-tool Learner. CoRR Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Zhumin Chen, Suzan Verberne, Zhaochun Ren
2024	A*	`conf`	Cross-model Control: Improving Multiple Large Language Models in One-time Training. NeurIPS Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao
2024	J	`jnl`	Cross-model Control: Improving Multiple Large Language Models in One-time Training. CoRR Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao
2024	J	`jnl`	DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. CoRR 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
2024	J	`jnl`	Explainability for Large Language Models: A Survey. ACM Trans. Intell. Syst. Technol. Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du
2024	—	`conf`	Exploring Memorization in Fine-tuned Language Models. ACL (1) Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2024	A	`conf`	FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding. ECAI Jingyang Deng, Zhengyang Shen, Boyang Wang, Lixin Su, Suqi Cheng, Ying Nie, Junfeng Wang, Dawei Yin, Jinwen Ma
2024	J	`jnl`	FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding. CoRR Jingyang Deng, Zhengyang Shen, Boyang Wang, Lixin Su, Suqi Cheng, Ying Nie, Junfeng Wang, Dawei Yin, Jinwen Ma
2024	J	`jnl`	From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. CoRR Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
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	—	`conf`	GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation. EMNLP (Industry Track) Wenjie Zhou, Zhenxin Ding, Xiaodong Zhang, Haibo Shi, Junfeng Wang, Dawei Yin
2024	J	`jnl`	GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation. CoRR Wenjie Zhou, Zhenxin Ding, Xiaodong Zhang, Haibo Shi, Junfeng Wang, Dawei Yin
2024	J	`jnl`	GS Mach. Learn. Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2024	A*	`conf`	GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract). IJCAI Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2024	J	`jnl`	GenCRF: Generative Clustering and Reformulation Framework for Enhanced Intent-Driven Information Retrieval. CoRR Wonduk Seo, Haojie Zhang, Yueyang Zhang, Changhao Zhang, Songyao Duan, Lixin Su, Daiting Shi, Jiashu Zhao, Dawei Yin
2024	J	`jnl`	Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract). CoRR Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2024	J	`jnl`	Graph Machine Learning in the Era of Large Language Models (LLMs). CoRR Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
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	A*	`conf`	GraphGPT: Graph Instruction Tuning for Large Language Models. SIGIR Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang
2024	A*	`conf`	HiGPT: Heterogeneous Graph Language Model. KDD Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024	J	`jnl`	HiGPT: Heterogeneous Graph Language Model. CoRR Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024	A	`conf`	Hyperbolic Contrastive Learning for Cross-Domain Recommendation. CIKM Xin Yang, Heng Chang, Zhijian Lai, Jinze Yang, Xingrun Li, Yu Lu, Shuaiqiang Wang, Dawei Yin, Erxue Min
2024	J	`jnl`	Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System. CoRR Xin Yang, Heng Chang, Zhijian Lai, Jinze Yang, Xingrun Li, Yu Lu, Shuaiqiang Wang, Dawei Yin, Erxue Min
2024	—	`conf`	Improving the Robustness of Large Language Models via Consistency Alignment. LREC/COLING Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin
2024	J	`jnl`	Improving the Robustness of Large Language Models via Consistency Alignment. CoRR Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin
2024	J	`jnl`	Information Discovery in E-commerce. Found. Trends Inf. Retr. Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke
2024	J	`jnl`	Information Discovery in e-Commerce. CoRR Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke
2024	J	`jnl`	InverseCoder: Unleashing the Power of Instruction-Tuned Code LLMs with Inverse-Instruct. CoRR Yutong Wu, Di Huang, Wenxuan Shi, Wei Wang, Lingzhe Gao, Shihao Liu, Ziyuan Nan, Kaizhao Yuan, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Yewen Pu, Dawei Yin, Xing Hu, Yunji Chen
2024	J	`jnl`	JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework. CoRR Fan Liu, Yue Feng, Zhao Xu, Lixin Su, Xinyu Ma, Dawei Yin, Hao Liu
2024	A*	`conf`	KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. EMNLP Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren
2024	J	`jnl`	KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. CoRR Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren
2024	—	`conf`	Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method. NAACL-HLT Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin
2024	A	`conf`	LLMRec: Large Language Models with Graph Augmentation for Recommendation. WSDM Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2024	J	`jnl`	LLMs + Persona-Plug = Personalized LLMs. CoRR Jiongnan Liu, Yutao Zhu, Shuting Wang, Xiaochi Wei, Erxue Min, Yu Lu, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou
2024	A*	`conf`	LT ICDE Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li
2024	—	`conf`	Large Language Models for Graphs: Progresses and Directions. WWW (Companion Volume) Chao Huang, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla
2024	—	`conf`	Learning to Use Tools via Cooperative and Interactive Agents. EMNLP (Findings) Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Pengjie Ren, Suzan Verberne, Zhaochun Ren
2024	J	`jnl`	Learning to Use Tools via Cooperative and Interactive Agents. CoRR Zhengliang Shi, Shen Gao, Xiuyi Chen, Lingyong Yan, Haibo Shi, Dawei Yin, Zhumin Chen, Pengjie Ren, Suzan Verberne, Zhaochun Ren
2024	J	`jnl`	MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification. CoRR Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin
2024	J	`jnl`	MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization. CoRR Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren
2024	A*	`conf`	MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. EMNLP Weiwei Sun, Zhengliang Shi, Wu Long, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren
2024	J	`jnl`	MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. CoRR Weiwei Sun, Zhengliang Shi, Jiulong Wu, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren
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	A*	`conf`	MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract). IJCAI Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin
2024	J	`jnl`	OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction. CoRR Zhonghang Li, Long Xia, Lei Shi, Yong Xu, Dawei Yin, Chao Huang
2024	J	`jnl`	PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization. CoRR Jiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun, Xiang Li, Shuaiqiang Wang, Dawei Yin, Ming Gao
2024	—	`conf`	PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks. ECML/PKDD (5) Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin
2024	—	`conf`	Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning. ECCV (27) Fanyue Wei, Wei Zeng, Zhenyang Li, Dawei Yin, Lixin Duan, Wen Li
2024	J	`jnl`	Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning. CoRR Fanyue Wei, Wei Zeng, Zhenyang Li, Dawei Yin, Lixin Duan, Wen Li
2024	J	`jnl`	Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract). CoRR Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin
2024	A*	`conf`	Representation Learning with Large Language Models for Recommendation. WWW Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2024	J	`jnl`	SMEC: Scene Mining for E-Commerce. J. Comput. Sci. Technol. Gang Wang, Xiang Li, Ziyi Guo, Dawei Yin, Shuai Ma
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	J	`jnl`	Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models. CoRR Wenhan Liu, Xinyu Ma, Yutao Zhu, Ziliang Zhao, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou
2024	A	`conf`	Text-Video Retrieval via Multi-Modal Hypergraph Networks. WSDM Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin
2024	J	`jnl`	Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks. CoRR Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin
2024	—	`conf`	The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. ACL (Findings) Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng
2024	J	`jnl`	The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. CoRR Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng
2024	—	`conf`	The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. EMNLP (Findings) Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen
2024	J	`jnl`	The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. CoRR Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen
2024	—	`conf`	The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL (Findings) Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024	J	`jnl`	The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). CoRR Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang
2024	J	`jnl`	The Real, the Better: Aligning Large Language Models with Online Human Behaviors. CoRR Guanying Jiang, Lingyong Yan, Haibo Shi, Dawei Yin
2024	J	`jnl`	Tool Learning with Large Language Models: A Survey. CoRR Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
2024	J	`jnl`	TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. CoRR Yiqun Chen, Qi Liu, Yi Zhang, Weiwei Sun, Daiting Shi, Jiaxin Mao, Dawei Yin
2024	J	`jnl`	Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework. ACM Trans. Inf. Syst. Zhidan Wang, Lixin Zou, Chenliang Li, Shuaiqiang Wang, Xu Chen, Dawei Yin, Weidong Liu
2024	A	`conf`	Towards Completeness-Oriented Tool Retrieval for Large Language Models. CIKM Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
2024	J	`jnl`	Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin
2024	A*	`conf`	Towards Verifiable Text Generation with Evolving Memory and Self-Reflection. EMNLP Hao Sun, Hengyi Cai, Bo Wang, Yingyan Hou, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin
2024	—	`conf`	UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle. NAACL-HLT (Findings) Yutao Mou, Kexiang Wang, Jianhe Lin, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin, Weiran Xu
2024	A*	`conf`	Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. SIGIR Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison
2024	A*	`conf`	Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback. SIGIR Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma
2024	A*	`conf`	UrbanGPT: Spatio-Temporal Large Language Models. KDD Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024	J	`jnl`	UrbanGPT: Spatio-Temporal Large Language Models. CoRR Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024	—	`conf`	VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization. NAACL-HLT Dongsheng Zhu, Daniel Tang, Weidong Han, Jinghui Lu, Yukun Zhao, Guoliang Xing, Junfeng Wang, Dawei Yin
2024	J	`jnl`	VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization. CoRR Dongsheng Zhu, Xunzhu Tang, Weidong Han, Jinghui Lu, Yukun Zhao, Guoliang Xing, Junfeng Wang, Dawei Yin
2024	J	`jnl`	When Search Engine Services Meet Large Language Models: Visions and Challenges. IEEE Trans. Serv. Comput. Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal
2024	J	`jnl`	When Search Engine Services meet Large Language Models: Visions and Challenges. CoRR Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal
2024	A*	`conf`	Whole Page Unbiased Learning to Rank. WWW Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin
2024	J	`jnl`	XL CoRR Xuanfan Ni, Hengyi Cai, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Piji Li
2023	J	`jnl`	A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. CoRR Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
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	J	`jnl`	Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback. CoRR Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma
2023	—	`conf`	Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL (1) Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023	—	`conf`	Boosting Event Extraction with Denoised Structure-to-Text Augmentation. ACL (Findings) Bo Wang, Heyan Huang, Xiaochi Wei, Ge Shi, Xiao Liu, Chong Feng, Tong Zhou, Shuaiqiang Wang, Dawei Yin
2023	J	`jnl`	Boosting Event Extraction with Denoised Structure-to-Text Augmentation. CoRR Bo Wang, Heyan Huang, Xiaochi Wei, Ge Shi, Xiao Liu, Chong Feng, Tong Zhou, Shuaiqiang Wang, Dawei Yin
2023	J	`jnl`	COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search. IEEE Trans. Knowl. Data Eng. Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin
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	J	`jnl`	DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment. CoRR Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin
2023	—	`conf`	DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment. EMNLP (Findings) Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin
2023	A*	`conf`	Disentangled Contrastive Collaborative Filtering. SIGIR Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
2023	J	`jnl`	Disentangled Contrastive Collaborative Filtering. CoRR Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
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 Graph Neural Networks with Structure-Based Prompt. CoRR Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin
2023	A*	`conf`	Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. NeurIPS Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023	J	`jnl`	Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. CoRR Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023	J	`jnl`	Explainability for Large Language Models: A Survey. CoRR Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du
2023	J	`jnl`	Exploring Memorization in Fine-tuned Language Models. CoRR Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2023	J	`jnl`	Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs. CoRR Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
2023	J	`jnl`	Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. SIGKDD Explor. Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
2023	A*	`conf`	Feature-Level Debiased Natural Language Understanding. AAAI Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren
2023	B	`conf`	GS DSAA Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2023	A*	`conf`	Graph Enhanced BERT for Query Understanding. SIGIR Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin
2023	J	`jnl`	GraphGPT: Graph Instruction Tuning for Large Language Models. CoRR Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang
2023	A	`conf`	I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. CIKM Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma
2023	J	`jnl`	I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. CoRR Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma
2023	J	`jnl`	Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
2023	J	`jnl`	Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
2023	J	`jnl`	Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers. CoRR Weiwei Sun, Zheng Chen, Xinyu Ma, Lingyong Yan, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren
2023	J	`jnl`	Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent. CoRR Weiwei Sun, Lingyong Yan, Xinyu Ma, Pengjie Ren, Dawei Yin, Zhaochun Ren
2023	A*	`conf`	Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. EMNLP Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren
2023	—	`conf`	Knowing Before Seeing: Incorporating Post-retrieval Information into Pre-retrieval Query Intention Classification. KSEM (2) Xueqing Ma, Xiaochi Wei, Yixing Gao, Runyang Feng, Dawei Yin, Yi Chang
2023	J	`jnl`	Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method. CoRR Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin
2023	J	`jnl`	LLMRec: Large Language Models with Graph Augmentation for Recommendation. CoRR Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2023	J	`jnl`	Layout-aware Webpage Quality Assessment. CoRR Anfeng Cheng, Yiding Liu, Weibin Li, Qian Dong, Shuaiqiang Wang, Zhengjie Huang, Shikun Feng, Zhicong Cheng, Dawei Yin
2023	A*	`conf`	Learning Discrete Document Representations in Web Search. KDD Rong Huang, Danfeng Zhang, Weixue Lu, Han Li, Meng Wang, Daiting Shi, Jun Fan, Zhicong Cheng, Simiu Gu, Dawei Yin
2023	A*	`conf`	Learning to Tokenize for Generative Retrieval. NeurIPS Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren
2023	J	`jnl`	Learning to Tokenize for Generative Retrieval. CoRR Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren
2023	—	`conf`	LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search. ECML/PKDD (6) Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin
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`	MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale. ICDM Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin
2023	A	`conf`	Model-based Unbiased Learning to Rank. WSDM Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison
2023	—	`conf`	Overview of the NTCIR-17 Unbiased Learning to Rank Evaluation 2 (ULTRE-2) Task. NTCIR Zechun Niu, Jiaxin Mao, Qingyao Ai, Lixin Zou, Shuaiqiang Wang, Dawei Yin
2023	J	`jnl`	Pre-trained Language Model-based Retrieval and Ranking for Web Search. ACM Trans. Web Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin
2023	J	`jnl`	Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction. CoRR Canjia Li, Xiaoyang Wang, Dongdong Li, Yiding Liu, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Simiu Gu, Dawei Yin
2023	J	`jnl`	Prompt Tuning for Multi-View Graph Contrastive Learning. CoRR Chenghua Gong, Xiang Li, Jianxiang Yu, Cheng Yao, Jiaqi Tan, Chengcheng Yu, Dawei Yin
2023	J	`jnl`	Representation Learning with Large Language Models for Recommendation. CoRR Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2023	A*	`conf`	S KDD Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2023	A*	`conf`	Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. KDD Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2023	J	`jnl`	Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. CoRR Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2023	—	`conf`	Sequential Recommendation with User Evolving Preference Decomposition. SIGIR-AP Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Jingsen Zhang, Dawei Yin
2023	J	`jnl`	Towards Verifiable Text Generation with Evolving Memory and Self-Reflection. CoRR Hao Sun, Hengyi Cai, Bo Wang, Yingyan Hou, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin
2023	J	`jnl`	Unconfounded Propensity Estimation for Unbiased Ranking. CoRR Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison
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
2022	A	`conf`	A GNN-based Multi-task Learning Framework for Personalized Video Search. WSDM Li Zhang, Lei Shi, Jiashu Zhao, Juan Yang, Tianshu Lyu, Dawei Yin, Haiping Lu
2022	J	`jnl`	A Graph Neural Network Framework for Social Recommendations. IEEE Trans. Knowl. Data Eng. Wenqi Fan, Yao Ma, Qing Li, Jianping Wang, Guoyong Cai, Jiliang Tang, Dawei Yin
2022	A*	`conf`	A Large Scale Search Dataset for Unbiased Learning to Rank. NeurIPS Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
2022	J	`jnl`	A Large Scale Search Dataset for Unbiased Learning to Rank. CoRR Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
2022	Misc	`conf`	A Question-Oriented Propagation Network for News Reading Comprehension. ICASSP Liang Wen, Houfeng Wang, Dehong Ma, Jun Fan, Yingwei Luo, Xiaolin Wang, Daiting Shi, Zhicong Cheng, Dawei Yin
2022	A	`conf`	Approximated Doubly Robust Search Relevance Estimation. CIKM Lixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang, Suqi Cheng, Zhicong Cheng, Wenwen Ye, Simiu Gu, Dawei Yin
2022	J	`jnl`	Approximated Doubly Robust Search Relevance Estimation. CoRR Lixin Zou, Changying Hao, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Wenwen Ye, Zhicong Cheng, Simiu Gu, Dawei Yin
2022	J	`jnl`	Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? CoRR Juan-Hui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2022	—	`conf`	Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification. DASFAA (1) Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi
2022	A	`conf`	Contrastive Meta Learning with Behavior Multiplicity for Recommendation. WSDM Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
2022	J	`jnl`	Contrastive Meta Learning with Behavior Multiplicity for Recommendation. CoRR Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
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`	ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval. CoRR Yuxiang Lu, Yiding Liu, Jiaxiang Liu, Yunsheng Shi, Zhengjie Huang, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Shuaiqiang Wang, Dawei Yin, Haifeng Wang
2022	A*	`conf`	Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation. ACM Multimedia Boming Zhao, Bangbang Yang, Zhenyang Li, Zuoyue Li, Guofeng Zhang, Jiashu Zhao, Dawei Yin, Zhaopeng Cui, Hujun Bao
2022	J	`jnl`	Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation. CoRR Boming Zhao, Bangbang Yang, Zhenyang Li, Zuoyue Li, Guofeng Zhang, Jiashu Zhao, Dawei Yin, Zhaopeng Cui, Hujun Bao
2022	A	`conf`	Fast Semantic Matching via Flexible Contextualized Interaction. WSDM Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin
2022	J	`jnl`	Feature-Level Debiased Natural Language Understanding. CoRR Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren
2022	J	`jnl`	Geometry Contrastive Learning on Heterogeneous Graphs. CoRR Shichao Zhu, Chuan Zhou, Anfeng Cheng, Shirui Pan, Shuaiqiang Wang, Dawei Yin, Bin Wang
2022	J	`jnl`	Graph Enhanced BERT for Query Understanding. CoRR Juan-Hui Li, Yao Ma, Wei Zeng, Suqi Cheng, Jiliang Tang, Shuaiqiang Wang, Dawei Yin
2022	A*	`conf`	H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search. SIGIR Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin
2022	A*	`conf`	Hypergraph Contrastive Collaborative Filtering. SIGIR Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang
2022	J	`jnl`	Hypergraph Contrastive Collaborative Filtering. CoRR Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy Xiangji Huang
2022	A*	`conf`	Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. SIGIR Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin
2022	J	`jnl`	Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. CoRR Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin
2022	J	`jnl`	Model-based Unbiased Learning to Rank. CoRR Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison
2022	—	`conf`	On Length Divergence Bias in Textual Matching Models. ACL (Findings) Lan Jiang, Tianshu Lyu, Yankai Lin, Chong Meng, Xiaoyong Lyu, Dawei Yin
2022	B	`conf`	Original Content Is All You Need! an Empirical Study on Leveraging Answer Summary for WikiHowQA Answer Selection Task. COLING Liang Wen, Juan Li, Houfeng Wang, Yingwei Luo, Xiaolin Wang, Xiaodong Zhang, Zhicong Cheng, Dawei Yin
2022	—	`conf`	PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation. EMNLP (Industry Track) Lianshang Cai, Linhao Zhang, Dehong Ma, Jun Fan, Daiting Shi, Yi Wu, Zhicong Cheng, Simiu Gu, Dawei Yin
2022	J	`jnl`	PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation. CoRR Lianshang Cai, Linhao Zhang, Dehong Ma, Jun Fan, Daiting Shi, Yi Wu, Zhicong Cheng, Simiu Gu, Dawei Yin
2022	J	`jnl`	Practical Strategies of Active Learning to Rank for Web Search. CoRR Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Jingbo Zhou, Dawei Yin, Dejing Dou
2022	A	`conf`	Self-Supervised Learning for Recommendation. CIKM Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin
2022	A*	`conf`	Self-Supervised Learning for Recommender System. SIGIR Chao Huang, Xiang Wang, Xiangnan He, Dawei Yin
2022	J	`jnl`	Sequential Recommendation with User Evolving Preference Decomposition. CoRR Weiqi Shao, Xu Chen, Long Xia, Jiashu Zhao, Dawei Yin
2022	J	`jnl`	Whole Page Unbiased Learning to Rank. CoRR Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin
2021	A*	`conf`	2nd International Workshop on Industrial Recommendation Systems (IRS). KDD Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu
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	A*	`conf`	Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. SIGIR Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
2021	J	`jnl`	Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation. CoRR Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
2021	—	`conf`	Enhancing Question Generation with Commonsense Knowledge. CCL Xin Jia, Hao Wang, Dawei Yin, Yunfang Wu
2021	J	`jnl`	Enhancing Question Generation with Commonsense Knowledge. CoRR Xin Jia, Hao Wang, Dawei Yin, Yunfang Wu
2021	J	`jnl`	Exposing Length Divergence Bias of Textual Matching Models. CoRR Lan Jiang, Tianshu Lyu, Chong Meng, Xiaoyong Lyu, Dawei Yin
2021	J	`jnl`	First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction. CoRR Lianzhe Huang, Peiyi Wang, Sujian Li, Tianyu Liu, Xiaodong Zhang, Zhicong Cheng, Dawei Yin, Houfeng Wang
2021	J	`jnl`	Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. CoRR Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin
2021	J	`jnl`	Learning Reinforced Dynamic Representations for Sequential Recommendation. CoRR Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin
2021	A	`conf`	MGNETS: Multi-Graph Neural Networks for Table Search. CIKM Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Dawei Yin, Brian D. Davison
2021	A*	`conf`	Pre-trained Language Model based Ranking in Baidu Search. KDD Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Shuaiqiang Wang, Daiting Shi, Zhicong Cheng, Dawei Yin
2021	J	`jnl`	Pre-trained Language Model based Ranking in Baidu Search. CoRR Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin
2021	A*	`conf`	Pre-trained Language Model for Web-scale Retrieval in Baidu Search. KDD Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin
2021	J	`jnl`	Pre-trained Language Model for Web-scale Retrieval in Baidu Search. CoRR Yiding Liu, Guan Huang, Jiaxiang Liu, Weixue Lu, Suqi Cheng, Yukun Li, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin
2021	A*	`conf`	Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks. ICDE Chao Huang, Jiashu Zhao, Dawei Yin
2021	B	`conf`	SceneRec: Scene-Based Graph Neural Networks for Recommender Systems. EDBT Gang Wang, Ziyi Guo, Xiang Li, Dawei Yin, Shuai Ma
2021	J	`jnl`	SceneRec: Scene-Based Graph Neural Networks for Recommender Systems. CoRR Gang Wang, Ziyi Guo, Xiang Li, Dawei Yin, Shuai Ma
2021	J	`jnl`	Sequential Recommendation with Adaptive Preference Disentanglement. CoRR Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin
2021	A	`conf`	Unbiased Learning to Rank in Feeds Recommendation. WSDM Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang
2021	J	`jnl`	User-Inspired Posterior Network for Recommendation Reason Generation. CoRR Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding, Dawei Yin
2021	A*	`conf`	UserSim: User Simulation via Supervised GenerativeAdversarial Network. WWW Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2020	A*	`conf`	AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems. SIGIR Hongshen Chen, Zhaochun Ren, Pengjie Ren, Dawei Yin, Xiaodong He
2020	J	`jnl`	Adaptive Parameterization for Neural Dialogue Generation. CoRR Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin
2020	A*	`conf`	CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. KDD Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester
2020	J	`jnl`	CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. CoRR Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester
2020	A*	`conf`	Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight. ACL Hengyi Cai, Hongshen Chen, Yonghao Song, Cheng Zhang, Xiaofang Zhao, Dawei Yin
2020	J	`jnl`	Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight. CoRR Hengyi Cai, Hongshen Chen, Yonghao Song, Cheng Zhang, Xiaofang Zhao, Dawei Yin
2020	A	`conf`	Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems. CIKM Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin
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	A*	`conf`	Exemplar Guided Neural Dialogue Generation. IJCAI Hengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin
2020	—	`conf`	Game Recommendation Based on Dynamic Graph Convolutional Network. DASFAA (1) Wenwen Ye, Zheng Qin, Zhuoye Ding, Dawei Yin
2020	A*	`conf`	Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. ICDM Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin
2020	J	`jnl`	GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. CoRR Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Dawei Yin, Yi Chang
2020	A	`conf`	Hierarchical User Profiling for E-commerce Recommender Systems. WSDM Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Dawei Yin
2020	A*	`conf`	Keywords Generation Improves E-Commerce Session-based Recommendation. WWW Yuanxing Liu, Zhaochun Ren, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Dawei Yin
2020	A*	`conf`	Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation. AAAI Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin
2020	J	`jnl`	Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation. CoRR Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin
2020	A*	`conf`	Modeling Topical Relevance for Multi-Turn Dialogue Generation. IJCAI Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin
2020	J	`jnl`	Modeling Topical Relevance for Multi-Turn Dialogue Generation. CoRR Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin
2020	A	`conf`	NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. WSDM Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke
2020	J	`jnl`	Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network. ACM Trans. Inf. Syst. Xu Chen, Kun Xiong, Yongfeng Zhang, Long Xia, Dawei Yin, Jimmy Xiangji Huang
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`	Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network. AAAI Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin
2020	J	`jnl`	Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network. CoRR Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin
2020	A	`conf`	Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. WSDM Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin
2020	A*	`conf`	Reinforcement Learning to Rank with Pairwise Policy Gradient. SIGIR Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen
2020	J	`jnl`	Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020. SIGIR Forum Xiao Huang, Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke
2020	J	`jnl`	Robust Reinforcement Learning with Wasserstein Constraint. CoRR Linfang Hou, Liang Pang, Xin Hong, Yanyan Lan, Zhiming Ma, Dawei Yin
2020	A*	`conf`	Streaming Graph Neural Networks. SIGIR Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, Dawei Yin
2020	A*	`conf`	Time Matters: Sequential Recommendation with Complex Temporal Information. SIGIR Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin
2020	A*	`conf`	User-Inspired Posterior Network for Recommendation Reason Generation. SIGIR Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding, Dawei Yin
2020	A	`conf`	Whole-Chain Recommendations. CIKM Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2019	A	`conf`	A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding. CIKM Jiashu Zhao, Hongshen Chen, Dawei Yin
2019	—	`conf`	Adaptive Parameterization for Neural Dialogue Generation. EMNLP/IJCNLP (1) Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin
2019	—	`conf`	Attribute-aware Sequence Network for Review Summarization. EMNLP/IJCNLP (1) Junjie Li, Xuepeng Wang, Dawei Yin, Chengqing Zong
2019	A	`conf`	DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications. WSDM Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo
2019	J	`jnl`	Deep Social Collaborative Filtering. CoRR Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
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	A	`conf`	Deep social collaborative filtering. RecSys Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
2019	A	`conf`	Fine-Grained Product Categorization in E-commerce. CIKM Hongshen Chen, Jiashu Zhao, Dawei Yin
2019	A*	`conf`	Graph Neural Networks for Social Recommendation. WWW Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
2019	J	`jnl`	Graph Neural Networks for Social Recommendation. CoRR Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
2019	A*	`conf`	MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. WWW Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, 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	A	`conf`	Multi-dimensional Graph Convolutional Networks. SDM Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
2019	A*	`conf`	Off-policy Learning for Multiple Loggers. KDD Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin
2019	J	`jnl`	Off-policy Learning for Multiple Loggers. CoRR Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin
2019	A*	`conf`	Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. KDD Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla
2019	A	`conf`	Product-Aware Answer Generation in E-Commerce Question-Answering. WSDM Shen Gao, Zhaochun Ren, Yihong Eric Zhao, Dongyan Zhao, Dawei Yin, Rui Yan
2019	J	`jnl`	Product-Aware Answer Generation in E-Commerce Question-Answering. CoRR Shen Gao, Zhaochun Ren, Yihong Eric Zhao, Dongyan Zhao, Dawei Yin, Rui Yan
2019	—	`conf`	Reinforcement Learning to Diversify Top-N Recommendation. DASFAA (2) Lixin Zou, Long Xia, Zhuoye Ding, Dawei Yin, Jiaxing Song, Weidong Liu
2019	A*	`conf`	Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. KDD Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin
2019	J	`jnl`	Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. CoRR Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin
2019	A*	`conf`	Semi-supervised User Profiling with Heterogeneous Graph Attention Networks. IJCAI Weijian Chen, Yulong Gu, Zhaochun Ren, Xiangnan He, Hongtao Xie, Tong Guo, Dawei Yin, Yongdong Zhang
2019	A*	`conf`	Spectral Clustering in Heterogeneous Information Networks. AAAI Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin
2019	J	`jnl`	Toward Simulating Environments in Reinforcement Learning Based Recommendations. CoRR Xiangyu Zhao, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang
2019	—	`conf`	Weight Loss Prediction in Social-Temporal Context. ICHI Zhiwei Wang, Xiaorui Liu, Jiliang Tang, Dawei Yin
2018	A	`conf`	A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce. WSDM Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin
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	J	`jnl`	Dynamic Graph Neural Networks. CoRR Yao Ma, Ziyi Guo, Zhaochun Ren, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
2018	J	`jnl`	Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation. CoRR Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin
2018	A	`conf`	Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation. CIKM Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin
2018	A*	`conf`	Hierarchical Variational Memory Network for Dialogue Generation. WWW Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao, Dawei Yin
2018	A*	`conf`	Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial. SIGIR Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke
2018	—	`conf`	Knowledge Diffusion for Neural Dialogue Generation. ACL (1) Shuman Liu, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu, Dawei Yin
2018	A*	`conf`	Learning Tag Dependencies for Sequence Tagging. IJCAI Yuan Zhang, Hongshen Chen, Yihong Zhao, Qun Liu, Dawei Yin
2018	J	`jnl`	Linked Recurrent Neural Networks. CoRR Zhiwei Wang, Yao Ma, Dawei Yin, Jiliang Tang
2018	A	`conf`	Micro Behaviors: A New Perspective in E-commerce Recommender Systems. WSDM Meizi Zhou, Zhuoye Ding, Jiliang Tang, Dawei Yin
2018	A	`conf`	Multi-Dimensional Network Embedding with Hierarchical Structure. WSDM Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin
2018	J	`jnl`	Multi-dimensional Graph Convolutional Networks. CoRR Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
2018	J	`jnl`	Optimizing Whole-Page Presentation for Web Search. ACM Trans. Web Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei
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
2018	—	`conf`	Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. ACL (1) Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, Dawei Yin
2018	J	`jnl`	Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. IEEE Trans. Knowl. Data Eng. Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Süleyman Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang
2017	J	`jnl`	A Survey on Dialogue Systems: Recent Advances and New Frontiers. CoRR Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang
2017	J	`jnl`	A Survey on Dialogue Systems: Recent Advances and New Frontiers. SIGKDD Explor. Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang
2017	J	`jnl`	Large-Scale Location Prediction for Web Pages. IEEE Trans. Knowl. Data Eng. Yuening Hu, Changsung Kang, Jiliang Tang, Dawei Yin, Yi Chang
2017	J	`jnl`	Preserving Local and Global Information for Network Embedding. CoRR Yao Ma, Suhang Wang, Zhaochun Ren, Dawei Yin, Jiliang Tang
2017	A*	`conf`	Streaming Recommender Systems. WWW Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2017	A	`conf`	Understanding and Predicting Weight Loss with Mobile Social Networking Data. CIKM Zhiwei Wang, Tyler Derr, Dawei Yin, Jiliang Tang
2016	A	`conf`	Beyond Ranking: Optimizing Whole-Page Presentation. WSDM Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei
2016	A*	`conf`	Learning Query and Document Relevance from a Web-scale Click Graph. SIGIR Shan Jiang, Yuening Hu, Changsung Kang, Tim Daly Jr., Dawei Yin, Yi Chang, ChengXiang Zhai
2016	A	`conf`	Learning to Rewrite Queries. CIKM Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang
2016	A*	`conf`	Leveraging User Interaction Signals for Web Image Search. SIGIR Neil O'Hare, Paloma de Juan, Rossano Schifanella, Yunlong He, Dawei Yin, Yi Chang
2016	A*	`conf`	Positive-Unlabeled Learning in Streaming Networks. KDD Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016	A*	`conf`	Ranking Relevance in Yahoo Search. KDD Dawei Yin, Yuening Hu, Jiliang Tang, Tim Daly Jr., Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, Jean-Marc Langlois, Yi Chang
2016	A*	`conf`	Recommendation with Social Dimensions. AAAI Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu
2016	J	`jnl`	Streaming Recommender Systems. CoRR Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016	A*	`conf`	Timeline Summarization from Social Media with Life Cycle Models. IJCAI Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu
2015	A*	`conf`	Causal Inference via Sparse Additive Models with Application to Online Advertising. AAAI Wei Sun, Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang
2015	A	`conf`	Consistent Collective Matrix Completion under Joint Low Rank Structure. AISTATS Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang
2015	J	`jnl`	Learning to rank related entities in Web search. Neurocomputing Changsung Kang, Dawei Yin, Ruiqiang Zhang, Nicolas Torzec, Jianzhang He, Yi Chang
2015	—	`conf`	Rethink Targeting: Detect 'Smart Cheating' in Online Advertising through Causal Inference. WWW (Companion Volume) Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang, Marsha Meytlis
2015	A	`conf`	Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis. WSDM Pengyuan Wang, Wei Sun, Dawei Yin, Jian Yang, Yi Chang
2015	A	`conf`	The 2nd workshop on Vertical Search Relevance at WSDM 2015. WSDM Dawei Yin, Chih-Chieh Hung, Rui Li, Yi Chang
2015	—	`conf`	What Size Should A Mobile Ad Be? WWW (Companion Volume) Pengyuan Wang, Wei Sun, Dawei Yin
2014	J	`jnl`	Consistent Collective Matrix Completion under Joint Low Rank Structure. CoRR Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang
2014	A	`conf`	Estimating ad group performance in sponsored search. WSDM Dawei Yin, Bin Cao, Jian-Tao Sun, Brian D. Davison
2014	A	`conf`	Exploiting contextual factors for click modeling in sponsored search. WSDM Dawei Yin, Shike Mei, Bin Cao, Jian-Tao Sun, Brian D. Davison
2014	J	`jnl`	N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data. CoRR Makoto Yamada, Avishek Saha, Hua Ouyang, Dawei Yin, Yi Chang
2014	B	`conf`	Recommendation in Academia: A joint multi-relational model. ASONAM Zaihan Yang, Dawei Yin, Brian D. Davison
2013	A	`conf`	Connecting comments and tags: improved modeling of social tagging systems. WSDM Dawei Yin, Shengbo Guo, Boris Chidlovskii, Brian D. Davison, Cédric Archambeau, Guillaume Bouchard
2013	A	`conf`	Convex Collective Matrix Factorization. AISTATS Guillaume Bouchard, Dawei Yin, Shengbo Guo
2011	A*	`conf`	Award prediction with temporal citation network analysis. SIGIR Zaihan Yang, Dawei Yin, Brian D. Davison
2011	—	`conf`	Exploiting session-like behaviors in tag prediction. WWW (Companion Volume) Dawei Yin, Liangjie Hong, Brian D. Davison
2011	A*	`conf`	Link formation analysis in microblogs. SIGIR Dawei Yin, Liangjie Hong, Xiong Xiong, Brian D. Davison
2011	—	`conf`	Normalizing Microtext. Analyzing Microtext Zhenzhen Xue, Dawei Yin, Brian D. Davison
2011	A	`conf`	Structural link analysis and prediction in microblogs. CIKM Dawei Yin, Liangjie Hong, Brian D. Davison
2011	A*	`conf`	Temporal Dynamics of User Interests in Tagging Systems. AAAI Dawei Yin, Liangjie Hong, Zhenzhen Xue, Brian D. Davison
2011	A*	`conf`	Tracking trends: incorporating term volume into temporal topic models. KDD Liangjie Hong, Dawei Yin, Jian Guo, Brian D. Davison
2010	A*	`conf`	A probabilistic model for personalized tag prediction. KDD Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. Davison
2010	A	`conf`	Choosing your own adventure: automatic taxonomy generation to permit many paths. CIKM Xiaoguang Qi, Dawei Yin, Zhenzhen Xue, Brian D. Davison
2010	B	`conf`	Document Segmentation Using Pixel-Accurate Ground Truth. ICPR Chang An, Dawei Yin, Henry S. Baird
2010	B	`conf`	Imbalance and Concentration in k-NN Classification. ICPR Dawei Yin, Chang An, Henry S. Baird
2010	B	`conf`	Safely selecting subsets of training data. Document Analysis Systems Dawei Yin, Chang An, Henry S. Baird
2010	—	`conf`	Time and space optimization of document content classifiers. DRR Dawei Yin, Henry S. Baird, Chang An
2009	—	`conf`	Diversifying Search Results with Popular Subtopics. TREC Dawei Yin, Zhenzhen Xue, Xiaoguang Qi, Brian D. Davison