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Dawei Yin

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

230

Venues

33

Active years

2010–2026

Best venue rank

A*

Where they publish

Papers

230 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIEfficient Thought Space Exploration Through Strategic Intervention.Ziheng Li, Hengyi Cai, Xiaochi Wei, Yuchen Li, Shuaiqiang Wang, Zhi-Hong Deng, Dawei Yin
2026AAAIAdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization.Qiyang Li, Rui Kong, Yuchen Li, Hengyi Cai, Shuaiqiang Wang, Linghe Kong, Guihai Chen, Dawei Yin
2026AAAIBeyond ReAct: A Planner-Centric Framework for Complex Tool-Augmented LLM Reasoning.Xiaolong Wei, Yuehu Dong, Xingliang Wang, Xingyu Zhang, Zhejun Zhao, Dongdong Shen, Long Xia, Dawei Yin
2026AAAIThinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning.Wenda Wei, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Lixin Su, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Xueqi Cheng
2026ACLReasonRank: Empowering Passage Ranking with Strong Reasoning Ability.Wenhan Liu, Xinyu Ma, Weiwei Sun, Yutao Zhu, Yuchen Li, Dawei Yin, Zhicheng Dou
2026ACLAgentic-R: Learning to Retrieve for Agentic Search.Wenhan Liu, Xinyu Ma, Yutao Zhu, Yuchen Li, Daiting Shi, Dawei Yin, Zhicheng Dou
2026ACLDORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search.Guangming Qin, Yuhao Deng, Yukun Zhao, Zhenyang Li, Junfeng Wang, Dawei Yin, Ye Yuan, Guoren Wang, Yizhou Yan, Chengliang Chai, Lei Cao
2026ACLMatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching.Changle Qu, Sunhao Dai, Hengyi Cai, Jun Xu, Shuaiqiang Wang, Dawei Yin
2026ACLAdversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models.Can Xu, Lingyong Yan, Jiayi Wu, Haosen Wang, Shuaiqiang Wang, Yuchen Li, Jizhou Huang, Dawei Yin, Xiang Li
2026ACLAn Efficient Framework for Whole-Page Reranking via Single-Modal Supervision.Zishuai Zhang, Sihao Yu, Wenyi Xie, Ying Nie, Junfeng Wang, Zhiming Zheng, Dawei Yin, Hainan Zhang
2026ACLReinforced Efficient Reasoning via Semantically Diverse Exploration.Ziqi Zhao, Zhaochun Ren, Jiahong Zou, Liu Yang, Zhiwei Xu, Xuri Ge, Zhumin Chen, Xinyu Ma, Daiting Shi, Shuaiqiang Wang, Dawei Yin, Xin Xin
2026ECIRLLM-Based Listwise Reranking Under the Effect of Positional Bias.Jingfen Qiao, Jin Huang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Evangelos Kanoulas, Andrew Yates
2026KDDRetain to Refine: Adaptive Online Question Answering via Query Routing and Long-Short Memory.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
2026KDDVideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos.Xubin Ren, Lingrui Xu, Long Xia, Shuaiqiang Wang, Dawei Yin, Chao Huang
2026WWWAccurate and Efficient Personalized Query Rewriting in Baidu Search.Xu Chu, Angela Li, Jiaming Zhang, Wei Li, Zhijie Tan, Dawei Yin, Shuaiqiang Wang, Daiting Shi
2026WWWProbe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search.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
2026WWWModel Editing for New Document Integration in Generative Information Retrieval.Zhen Zhang, Zihan Wang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Xin Xin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren
2026SIGIRReconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning.Jiahan Chen, Da Li, Hengran Zhang, Yinqiong Cai, Lixin Su, Jiafeng Guo, Daiting Shi, Dawei Yin, Keping Bi
2026SIGIRRAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search.Tingyu Chen, Wenkai Zhang, Li Gao, Lixin Su, Ge Chen, Dawei Yin, Daiting Shi
2026SIGIRDeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent.Tongzhou Wu, Yuhao Wang, Xinyu Ma, Xiuqiang He, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao
2026WSDMTowards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs.Jiani Huang, Shijie Wang, Liangbo Ning, Wenqi Fan, Shuaiqiang Wang, Dawei Yin, Qing Li
2025AAAITowards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation.Shicheng Wang, Hengzhu Tang, Li Gao, Shu Guo, Suqi Cheng, Junfeng Wang, Dawei Yin, Tingwen Liu, Lihong Wang
2025AAAIInverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct.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
2025ACLKnowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation.Shijie Wang, Wenqi Fan, Yue Feng, Shanru Lin, Xinyu Ma, Shuaiqiang Wang, Dawei Yin
2025ACLProactive Guidance of Multi-Turn Conversation in Industrial Search.Xiaoyu Li, Xiao Li, Li Gao, Yiding Liu, Xiaoyang Wang, Shuaiqiang Wang, Junfeng Wang, Dawei Yin
2025ACLLLMs + Persona-Plug = Personalized LLMs.Jiongnan Liu, Yutao Zhu, Shuting Wang, Xiaochi Wei, Erxue Min, Yu Lu, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou
2025ACLSliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models.Wenhan Liu, Xinyu Ma, Yutao Zhu, Ziliang Zhao, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou
2025ACLRetrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models.Zhengliang Shi, Yuhan Wang, Lingyong Yan, Pengjie Ren, Shuaiqiang Wang, Dawei Yin, Zhaochun Ren
2025ACLEnhancing Retrieval-Augmented Generation via Evidence Tree Search.Hao Sun, Hengyi Cai, Yuchen Li, Xuanbo Fan, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin
2025ACLThe Mirage of Model Editing: Revisiting Evaluation in the Wild.Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng
2025ACLTask Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization.Yukun Zhao, Lingyong Yan, Zhenyang Li, Shuaiqiang Wang, Zhumin Chen, Zhaochun Ren, Dawei Yin
2025ACLDivide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation.Dongsheng Zhu, Weixian Shi, Zhengliang Shi, Zhaochun Ren, Shuaiqiang Wang, Lingyong Yan, Dawei Yin
2025CIKMAdvancing Temporal Sensitive Question Answering through Progressive Multi-Step Reflection.Ziyang Chen, Erxue Min, Xiang Zhao, Yunxin Li, Xin Jia, Jinzhi Liao, Shuaiqiang Wang, Baotian Hu, Dawei Yin
2025CIKMCLUE: Using Large Language Models for Judging Document Usefulness in Web Search Evaluation.Xingzhu Wang, Erhan Zhang, Yiqun Chen, Jinghan Xuan, Yucheng Hou, Yitong Xu, Ying Nie, Shuaiqiang Wang, Dawei Yin, Jiaxin Mao
2025CIKMLeveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search.Zeyu Xiong, Yixuan Nan, Li Gao, Hengzhu Tang, Shuaiqiang Wang, Junfeng Wang, Dawei Yin
2025CVPRDebiasing Multimodal Large Language Models via Noise-Aware Preference Optimization.Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, Yiming Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu
2025EMNLPCoRanking: Collaborative Ranking with Small and Large Ranking Agents.Wenhan Liu, Xinyu Ma, Yutao Zhu, Lixin Su, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou
2025EMNLPCTR-Guided Generative Query Suggestion in Conversational Search.Erxue Min, Hsiu-Yuan Huang, Xihong Yang, Min Yang, Xin Jia, Yunfang Wu, Hengyi Cai, Junfeng Wang, Shuaiqiang Wang, Dawei Yin
2025EMNLPTP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning.Hang Ni, Fan Liu, Xinyu Ma, Lixin Su, Shuaiqiang Wang, Dawei Yin, Hui Xiong, Hao Liu
2025EMNLPUplift-RAG: Uplift-Driven Knowledge Preference Alignment for Retrieval-Augmented Generation.Changle Qu, Sunhao Dai, Hengyi Cai, Yiyang Cheng, Jun Xu, Shuaiqiang Wang, Dawei Yin
2025EMNLPRACQC: Advanced Retrieval-Augmented Generation for Chinese Query Correction.Jinbo Su, Lingzhe Gao, Wei Li, Shihao Liu, Haojie Lei, Xinyi Wang, Yuanzhao Guo, Ke Wang, Daiting Shi, Dawei Yin
2025EMNLPIgniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards.Xiaolong Wei, Bo Lu, Xingyu Zhang, Zhejun Zhao, Dongdong Shen, Long Xia, Dawei Yin
2025EMNLPMitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization.Jiulong Wu, Zhengliang Shi, Shuaiqiang Wang, Jizhou Huang, Dawei Yin, Lingyong Yan, Min Cao, Min Zhang
2025EMNLPUtility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation.Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng
2025EMNLPReasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking.Junda Zhu, Lingyong Yan, Shuaiqiang Wang, Dawei Yin, Lei Sha
2025ICDEMYuchen Li, Hao Zhang, Yongqi Zhang, Xinyu Ma, Wenwen Ye, Naifei Song, Shuaiqiang Wang, Haoyi Xiong, Dawei Yin, Lei Chen
2025ICDEDaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System.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
2025ICLRMACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization.Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren
2025ICLRFrom Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions.Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
2025ICMLHgformer: Hyperbolic Graph Transformer for Collaborative Filtering.Xin Yang, Xingrun Li, Heng Chang, Jinze Yang, Xihong Yang, Shengyu Tao, Maiko Shigeno, Ningkang Chang, Junfeng Wang, Dawei Yin, Erxue Min
2025KDDThe 2nd Workshop on Large Language Models for E-Commerce.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
2025KDDRankExpert: A Mixture of Textual-and-Behavioral Experts for Multi-Objective Learning-to-Rank in Web Search.Yuchen Li, Hao Zhang, Yongqi Zhang, Hengyi Cai, Mingxin Cai, Shuaiqiang Wang, Haoyi Xiong, Linghe Kong, Dawei Yin, Lei Chen
2025KDDFULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking.Yuchen Li, Hao Zhang, Haojie Zhang, Hengyi Cai, Xinyu Ma, Shuaiqiang Wang, Haoyi Xiong, Zhaochun Ren, Maarten de Rijke, Dawei Yin
2025KDDMulti-Agent Proactive Information Seeking with Adaptive LLM Orchestration for Non-Factoid Question Answering.Xinran Chen, Yuchen Li, Hengyi Cai, Zhuoran Ma, Xuanang Chen, Haoyi Xiong, Shuaiqiang Wang, Ben He, Le Sun, Dawei Yin
2025KDDExploring Preference-Guided Diffusion Model for Cross-Domain Recommendation.Xiaodong Li, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu
2025KDDRankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search.Yuchen Li, Haoyi Xiong, Yongqi Zhang, Jiang Bian, Tianhao Peng, Xuhong Li, Shuaiqiang Wang, Linghe Kong, Dawei Yin
2025KDDGenerative Retrieval for Book Search.Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2025KDDMulti-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search.Hengzhu Tang, Zefeng Zhang, Zhiping Li, Zhenyu Zhang, Xing Wu, Li Gao, Suqi Cheng, Dawei Yin
2025NAACLPA-RAG: RAG Alignment via Multi-Perspective Preference Optimization.Jiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun, Xiang Li, Shuaiqiang Wang, Dawei Yin, Ming Gao
2025WWWLarge Language Model for E-Commerce Workshop.Haoyu Han, Xianfeng Tang, Jing Huang, Monica Xiao Cheng, Omar Alonso, Hanqing Lu, Zhen Li, Chen Luo, Dawei Yin, Jiliang Tang
2025WWWTourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy.Yiqun Chen, Qi Liu, Yi Zhang, Weiwei Sun, Xinyu Ma, Wei Yang, Daiting Shi, Jiaxin Mao, Dawei Yin
2025WWWMA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification.Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin
2025WWWTool Learning in the Wild: Empowering Language Models as Automatic Tool Agents.Zhengliang Shi, Shen Gao, Lingyong Yan, Yue Feng, Xiuyi Chen, Zhumin Chen, Dawei Yin, Suzan Verberne, Zhaochun Ren
2025WWWUnbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance.Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Dawei Yin, Xueqi Cheng
2025SIGIRAgentIR: 2nd Workshop on Agent-based Information Retrieval.Pengyue Jia, Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2025SIGIRReplication and Exploration of Generative Retrieval over Dynamic Corpora.Zhen Zhang, Xinyu Ma, Weiwei Sun, Pengjie Ren, Zhumin Chen, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren
2024ACLThe Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse.Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng
2024ACLExploring Memorization in Fine-tuned Language Models.Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2024ACLThe Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024CIKMTowards Completeness-Oriented Tool Retrieval for Large Language Models.Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
2024CIKMHyperbolic Contrastive Learning for Cross-Domain Recommendation.Xin Yang, Heng Chang, Zhijian Lai, Jinze Yang, Xingrun Li, Yu Lu, Shuaiqiang Wang, Dawei Yin, Erxue Min
2024COLINGImproving the Robustness of Large Language Models via Consistency Alignment.Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin
2024ECAIFltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding.Jingyang Deng, Zhengyang Shen, Boyang Wang, Lixin Su, Suqi Cheng, Ying Nie, Junfeng Wang, Dawei Yin, Jinwen Ma
2024ECCVPowerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning.Fanyue Wei, Wei Zeng, Zhenyang Li, Dawei Yin, Lixin Duan, Wen Li
2024EMNLPMAIR: A Massive Benchmark for Evaluating Instructed Retrieval.Weiwei Sun, Zhengliang Shi, Wu Long, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren
2024EMNLPAdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning.Hao Sun, Jiayi Wu, Hengyi Cai, Xiaochi Wei, Yue Feng, Bo Wang, Shuaiqiang Wang, Yan Zhang, Dawei Yin
2024EMNLPKnowTuning: Knowledge-aware Fine-tuning for Large Language Models.Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren
2024EMNLPLearning to Use Tools via Cooperative and Interactive Agents.Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Pengjie Ren, Suzan Verberne, Zhaochun Ren
2024EMNLPTowards Verifiable Text Generation with Evolving Memory and Self-Reflection.Hao Sun, Hengyi Cai, Bo Wang, Yingyan Hou, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin
2024EMNLPThe Fall of ROME: Understanding the Collapse of LLMs in Model Editing.Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen
2024EMNLPGOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation.Wenjie Zhou, Zhenxin Ding, Xiaodong Zhang, Haibo Shi, Junfeng Wang, Dawei Yin
2024EMNLPATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator.Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha
2024ICDELTXiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li
2024ICMLGraph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification.Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao
2024IJCAIMPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract).Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin
2024IJCAIGS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract).Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2024ITWTheoretical Bounds for the Size of Elementary Trapping Sets by Graph Theory Methods.Haoran Xiong, Zicheng Ye, Huazi Zhang, Jun Wang, Ke Liu, Dawei Yin, Guanghui Wang, Guiying Yan, Zhiming Ma
2024KDDA Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models.Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li
2024KDDUrbanGPT: Spatio-Temporal Large Language Models.Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024KDDA Survey of Large Language Models for Graphs.Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang
2024KDDHiGPT: Heterogeneous Graph Language Model.Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024NAACLMILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion.Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin
2024NAACLUEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle.Yutao Mou, Kexiang Wang, Jianhe Lin, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin, Weiran Xu
2024NAACLA Robust Semantics-based Watermark for Large Language Model against Paraphrasing.Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024NAACLKnowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method.Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin
2024NAACLVisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization.Dongsheng Zhu, Daniel Tang, Weidong Han, Jinghui Lu, Yukun Zhao, Guoliang Xing, Junfeng Wang, Dawei Yin
2024WWWLarge Language Models for Graphs: Progresses and Directions.Chao Huang, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla
2024WWWWhole Page Unbiased Learning to Rank.Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin
2024WWWRepresentation Learning with Large Language Models for Recommendation.Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2024SIGIRAgentIR: 1st Workshop on Agent-based Information Retrieval.Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2024SIGIRUnsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback.Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma
2024SIGIRUnbiased Learning-to-Rank Needs Unconfounded Propensity Estimation.Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison
2024SIGIRGraphGPT: Graph Instruction Tuning for Large Language Models.Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang
2024WSDMText-Video Retrieval via Multi-Modal Hypergraph Networks.Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin
2024WSDMLLMRec: Large Language Models with Graph Augmentation for Recommendation.Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2023AAAIFeature-Level Debiased Natural Language Understanding.Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren
2023ACLAre Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023ACLBoosting Event Extraction with Denoised Structure-to-Text Augmentation.Bo Wang, Heyan Huang, Xiaochi Wei, Ge Shi, Xiao Liu, Chong Feng, Tong Zhou, Shuaiqiang Wang, Dawei Yin
2023CIKMDRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval.Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2023CIKMI3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma
2023DSAAGSYuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2023EMNLPIs ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren
2023EMNLPDiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment.Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin
2023ICDMMPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale.Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin
2023KDDLearning Discrete Document Representations in Web Search.Rong Huang, Danfeng Zhang, Weixue Lu, Han Li, Meng Wang, Daiting Shi, Jun Fan, Zhicong Cheng, Simiu Gu, Dawei Yin
2023KDDSYuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2023KDDSemantic-Enhanced Differentiable Search Index Inspired by Learning Strategies.Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2023KSEMKnowing Before Seeing: Incorporating Post-retrieval Information into Pre-retrieval Query Intention Classification.Xueqing Ma, Xiaochi Wei, Yixing Gao, Runyang Feng, Dawei Yin, Yi Chang
2023WWWUser Retention-oriented Recommendation with Decision Transformer.Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin
2023SIGIRGraph Enhanced BERT for Query Understanding.Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin
2023SIGIRDisentangled Contrastive Collaborative Filtering.Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
2023WSDMModel-based Unbiased Learning to Rank.Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison
2022ACLOn Length Divergence Bias in Textual Matching Models.Lan Jiang, Tianshu Lyu, Yankai Lin, Chong Meng, Xiaoyong Lyu, Dawei Yin
2022CIKMSelf-Supervised Learning for Recommendation.Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin
2022CIKMApproximated Doubly Robust Search Relevance Estimation.Lixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang, Suqi Cheng, Zhicong Cheng, Wenwen Ye, Simiu Gu, Dawei Yin
2022COLINGOriginal Content Is All You Need! an Empirical Study on Leveraging Answer Summary for WikiHowQA Answer Selection Task.Liang Wen, Juan Li, Houfeng Wang, Yingwei Luo, Xiaolin Wang, Xiaodong Zhang, Zhicong Cheng, Dawei Yin
2022DASFAAContrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification.Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi
2022EMNLPPILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation.Lianshang Cai, Linhao Zhang, Dehong Ma, Jun Fan, Daiting Shi, Yi Wu, Zhicong Cheng, Simiu Gu, Dawei Yin
2022GLOBECOMOn the Message Passing Efficiency of Polar and Low-Density Parity-Check Decoders.Dawei Yin, Yuan Li, Xianbin Wang, Jiajie Tong, Huazi Zhang, Jun Wang, Guanghui Wang, Guiying Yan, Zhiming Ma
2022ICASSPA Question-Oriented Propagation Network for News Reading Comprehension.Liang Wen, Houfeng Wang, Dehong Ma, Jun Fan, Yingwei Luo, Xiaolin Wang, Daiting Shi, Zhicong Cheng, Dawei Yin
2022SIGIRH-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search.Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin
2022SIGIRIncorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking.Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin
2022SIGIRSelf-Supervised Learning for Recommender System.Chao Huang, Xiang Wang, Xiangnan He, Dawei Yin
2022SIGIRHypergraph Contrastive Collaborative Filtering.Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang
2022SIGIRDRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval.Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2022WSDMContrastive Meta Learning with Behavior Multiplicity for Recommendation.Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
2022WSDMFast Semantic Matching via Flexible Contextualized Interaction.Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin
2022WSDMA GNN-based Multi-task Learning Framework for Personalized Video Search.Li Zhang, Lei Shi, Jiashu Zhao, Juan Yang, Tianshu Lyu, Dawei Yin, Haiping Lu
2021CIKMMGNETS: Multi-Graph Neural Networks for Table Search.Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Dawei Yin, Brian D. Davison
2021EDBTSceneRec: Scene-Based Graph Neural Networks for Recommender Systems.Gang Wang, Ziyi Guo, Xiang Li, Dawei Yin, Shuai Ma
2021ICDEPurchase Intent Forecasting with Convolutional Hierarchical Transformer Networks.Chao Huang, Jiashu Zhao, Dawei Yin
2021KDDPre-trained Language Model for Web-scale Retrieval in Baidu Search.Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin
2021KDD2nd International Workshop on Industrial Recommendation Systems (IRS).Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu
2021KDDPre-trained Language Model based Ranking in Baidu Search.Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Shuaiqiang Wang, Daiting Shi, Zhicong Cheng, Dawei Yin
2021PIMRCSearch for Good Irregular Low-Density Parity-Check Codes Via Graph Spectrum.Dawei Yin, Xiaojing Zhang, Xichao Shu, Guiying Yan, Guanghui Wang
2021WWWUserSim: User Simulation via Supervised GenerativeAdversarial Network.Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2021SIGIRDRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval.Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang
2021SIGIREnhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation.Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
2021WSDMUnbiased Learning to Rank in Feeds Recommendation.Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang
2020AAAILearning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation.Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin
2020AAAIPosterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network.Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin
2020ACLData Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight.Hengyi Cai, Hongshen Chen, Yonghao Song, Cheng Zhang, Xiaofang Zhao, Dawei Yin
2020CIKMDeep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems.Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin
2020CIKMWhole-Chain Recommendations.Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2020DASFAAGame Recommendation Based on Dynamic Graph Convolutional Network.Wenwen Ye, Zheng Qin, Zhuoye Ding, Dawei Yin
2020ICDMGlobal Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks.Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin
2020IJCAIExemplar Guided Neural Dialogue Generation.Hengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin
2020IJCAIModeling Topical Relevance for Multi-Turn Dialogue Generation.Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin
2020KDDCAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data.Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester
2020WWWKeywords Generation Improves E-Commerce Session-based Recommendation.Yuanxing Liu, Zhaochun Ren, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Dawei Yin
2020SIGIRStreaming Graph Neural Networks.Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, Dawei Yin
2020SIGIRDeep Reinforcement Learning for Information Retrieval: Fundamentals and Advances.Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang, Alex Beutel
2020SIGIRAIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems.Hongshen Chen, Zhaochun Ren, Pengjie Ren, Dawei Yin, Xiaodong He
2020SIGIRReinforcement Learning to Rank with Pairwise Policy Gradient.Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen
2020SIGIRTime Matters: Sequential Recommendation with Complex Temporal Information.Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin
2020SIGIRUser-Inspired Posterior Network for Recommendation Reason Generation.Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding, Dawei Yin
2020SIGIRNeural Interactive Collaborative Filtering.Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin
2020WSDMHierarchical User Profiling for E-commerce Recommender Systems.Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Dawei Yin
2020WSDMNLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations.Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke
2020WSDMPseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation.Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin
2019AAAISpectral Clustering in Heterogeneous Information Networks.Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin
2019CIKMFine-Grained Product Categorization in E-commerce.Hongshen Chen, Jiashu Zhao, Dawei Yin
2019CIKMA Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding.Jiashu Zhao, Hongshen Chen, Dawei Yin
2019DASFAAReinforcement Learning to Diversify Top-N Recommendation.Lixin Zou, Long Xia, Zhuoye Ding, Dawei Yin, Jiaxing Song, Weidong Liu
2019EMNLPAdaptive Parameterization for Neural Dialogue Generation.Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin
2019EMNLPAttribute-aware Sequence Network for Review Summarization.Junjie Li, Xuepeng Wang, Dawei Yin, Chengqing Zong
2019IJCAISemi-supervised User Profiling with Heterogeneous Graph Attention Networks.Weijian Chen, Yulong Gu, Zhaochun Ren, Xiangnan He, Hongtao Xie, Tong Guo, Dawei Yin, Yongdong Zhang
2019KDDOff-policy Learning for Multiple Loggers.Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin
2019KDDOnline Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics.Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla
2019KDDReinforcement Learning to Optimize Long-term User Engagement in Recommender Systems.Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin
2019RecSysDeep social collaborative filtering.Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
2019WWWGraph Neural Networks for Social Recommendation.Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
2019WWWMiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting.Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin
2019WSDMDAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications.Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo
2019WSDMProduct-Aware Answer Generation in E-Commerce Question-Answering.Shen Gao, Zhaochun Ren, Yihong Eric Zhao, Dongyan Zhao, Dawei Yin, Rui Yan
2019SDMMulti-dimensional Graph Convolutional Networks.Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
2018ACLSequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures.Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, Dawei Yin
2018ACLKnowledge Diffusion for Neural Dialogue Generation.Shuman Liu, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu, Dawei Yin
2018CIKMExplicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation.Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin
2018IJCAILearning Tag Dependencies for Sequence Tagging.Yuan Zhang, Hongshen Chen, Yihong Zhao, Qun Liu, Dawei Yin
2018KDDRecommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin
2018RecSysDeep reinforcement learning for page-wise recommendations.Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang
2018WWWHierarchical Variational Memory Network for Dialogue Generation.Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao, Dawei Yin
2018SIGIRInformation Discovery in E-commerce: Half-day SIGIR 2018 Tutorial.Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke
2018WSDMMulti-Dimensional Network Embedding with Hierarchical Structure.Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin
2018WSDMA Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce.Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin
2018WSDMMicro Behaviors: A New Perspective in E-commerce Recommender Systems.Meizi Zhou, Zhuoye Ding, Jiliang Tang, Dawei Yin
2017CIKMUnderstanding and Predicting Weight Loss with Mobile Social Networking Data.Zhiwei Wang, Tyler Derr, Dawei Yin, Jiliang Tang
2017WWWStreaming Recommender Systems.Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016AAAIRecommendation with Social Dimensions.Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu
2016CIKMLearning to Rewrite Queries.Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang
2016IJCAITimeline Summarization from Social Media with Life Cycle Models.Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu
2016KDDPositive-Unlabeled Learning in Streaming Networks.Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016KDDRanking Relevance in Yahoo Search.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
2016SIGIRLearning Query and Document Relevance from a Web-scale Click Graph.Shan Jiang, Yuening Hu, Changsung Kang, Tim Daly Jr., Dawei Yin, Yi Chang, ChengXiang Zhai
2016SIGIRLeveraging User Interaction Signals for Web Image Search.Neil O'Hare, Paloma de Juan, Rossano Schifanella, Yunlong He, Dawei Yin, Yi Chang
2016WSDMBeyond Ranking: Optimizing Whole-Page Presentation.Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei
2015AAAICausal Inference via Sparse Additive Models with Application to Online Advertising.Wei Sun, Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang
2015AISTATSConsistent Collective Matrix Completion under Joint Low Rank Structure.Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang
2015WWWWhat Size Should A Mobile Ad Be?Pengyuan Wang, Wei Sun, Dawei Yin
2015WWWRethink Targeting: Detect 'Smart Cheating' in Online Advertising through Causal Inference.Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang, Marsha Meytlis
2015WSDMRobust Tree-based Causal Inference for Complex Ad Effectiveness Analysis.Pengyuan Wang, Wei Sun, Dawei Yin, Jian Yang, Yi Chang
2015WSDMThe 2nd workshop on Vertical Search Relevance at WSDM 2015.Dawei Yin, Chih-Chieh Hung, Rui Li, Yi Chang
2014WSDMEstimating ad group performance in sponsored search.Dawei Yin, Bin Cao, Jian-Tao Sun, Brian D. Davison
2014WSDMExploiting contextual factors for click modeling in sponsored search.Dawei Yin, Shike Mei, Bin Cao, Jian-Tao Sun, Brian D. Davison
2013AISTATSConvex Collective Matrix Factorization.Guillaume Bouchard, Dawei Yin, Shengbo Guo
2013WSDMConnecting comments and tags: improved modeling of social tagging systems.Dawei Yin, Shengbo Guo, Boris Chidlovskii, Brian D. Davison, Cdric Archambeau, Guillaume Bouchard
2012CECCo-evolution of symptom-herb relationship.Josiah Poon, Dawei Yin, Simon K. Poon, Runshun Zhang, Baoyan Liu, Daniel Man-yuen Sze
2011AAAINormalizing Microtext.Zhenzhen Xue, Dawei Yin, Brian D. Davison
2011AAAITemporal Dynamics of User Interests in Tagging Systems.Dawei Yin, Liangjie Hong, Zhenzhen Xue, Brian D. Davison
2011CIKMStructural link analysis and prediction in microblogs.Dawei Yin, Liangjie Hong, Brian D. Davison
2011KDDTracking trends: incorporating term volume into temporal topic models.Liangjie Hong, Dawei Yin, Jian Guo, Brian D. Davison
2011WWWExploiting session-like behaviors in tag prediction.Dawei Yin, Liangjie Hong, Brian D. Davison
2011SIGIRAward prediction with temporal citation network analysis.Zaihan Yang, Dawei Yin, Brian D. Davison
2011SIGIRLink formation analysis in microblogs.Dawei Yin, Liangjie Hong, Xiong Xiong, Brian D. Davison
2010CIKMChoosing your own adventure: automatic taxonomy generation to permit many paths.Xiaoguang Qi, Dawei Yin, Zhenzhen Xue, Brian D. Davison
2010DASSafely selecting subsets of training data.Dawei Yin, Chang An, Henry S. Baird
2010ICPRDocument Segmentation Using Pixel-Accurate Ground Truth.Chang An, Dawei Yin, Henry S. Baird
2010ICPRImbalance and Concentration in k-NN Classification.Dawei Yin, Chang An, Henry S. Baird
2010KDDA probabilistic model for personalized tag prediction.Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. Davison