Shuaiqiang Wang

241 papers A* 42A 20B 1C 3Journal 131Unranked 44

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`	AgentSkiller: Scaling Generalist Agent Intelligence through Semantically Integrated Cross-Domain Data Synthesis. CoRR Zexu Sun, Bokai Ji, Hengyi Cai, Shuaiqiang Wang, Lei Wang, Guangxia Li, Xu Chen
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 Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models. AAAI Jinman Zhao, Erxue Min, Hui Wu, Ziheng Li, Zexu Sun, Hengyi Cai, Shuaiqiang Wang, Xu Chen, Gerald Penn
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`	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	A*	`conf`	VPN: Visual Prompt Navigation. AAAI Shuo Feng, Zihan Wang, Yuchen Li, Rui Kong, Hengyi Cai, Shuaiqiang Wang, Gim Hee Lee, Piji Li, Shuqiang Jiang
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`	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	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	—	`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`	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	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`	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`	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	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	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	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 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	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	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	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	—	`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	—	`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	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	—	`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	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	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	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	—	`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	J	`jnl`	VPN: Visual Prompt Navigation. CoRR Shuo Feng, Zihan Wang, Yuchen Li, Rui Kong, Hengyi Cai, Shuaiqiang Wang, Gim Hee Lee, Piji Li, Shuqiang Jiang
2025	—	`conf`	Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes. KDD (1) Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang
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`	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	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	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	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	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`	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	—	`conf`	HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness. ECML/PKDD (6) Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang
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	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	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`	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`	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	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	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	—	`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`	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`	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	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	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	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`	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`	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	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	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	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`	Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks. CoRR Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang
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	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	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`	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	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	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`	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 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	—	`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	A*	`conf`	S KDD Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2023	J	`jnl`	Self-supervised Heterogeneous Graph Variational Autoencoders. CoRR Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang
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	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
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	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`	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`	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`	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`	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`	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
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	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
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`	Hierarchical User Profiling for E-commerce Recommender Systems. WSDM Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Dawei Yin
2020	J	`jnl`	How does serendipity affect diversity in recommender systems? A serendipity-oriented greedy algorithm. Computing Denis Kotkov, Jari Veijalainen, Shuaiqiang Wang
2020	A*	`conf`	Time Matters: Sequential Recommendation with Complex Temporal Information. SIGIR Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin
2019	J	`jnl`	IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. IEEE Access Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang
2019	—	`conf`	Vectors of Pairwise Item Preferences. ECIR (1) Gaurav Pandey, Shuaiqiang Wang, Zhaochun Ren, Yi Chang
2018	—	`conf`	Etymo: A New Discovery Engine for AI Research. WWW (Companion Volume) Weijian Zhang, Jonathan Deakin, Nicholas J. Higham, Shuaiqiang Wang
2018	J	`jnl`	Etymo: A New Discovery Engine for AI Research. CoRR Weijian Zhang, Jonathan Deakin, Nicholas J. Higham, Shuaiqiang Wang
2018	—	`conf`	Finding Tours for a Set of Interests. WWW (Companion Volume) Mohamed Abdel Maksoud, Gaurav Pandey, Shuaiqiang Wang
2018	J	`jnl`	Learning to rank images for complex queries in concept-based search. Neurocomputing Chaoran Cui, Jialie Shen, Zhumin Chen, Shuaiqiang Wang, Jun Ma
2018	J	`jnl`	Linear feature extraction for ranking. Inf. Retr. J. Gaurav Pandey, Zhaochun Ren, Shuaiqiang Wang, Jari Veijalainen, Maarten de Rijke
2018	—	`conf`	Listwise Recommendation Approach with Non-negative Matrix Factorization. KES-IDT Gaurav Pandey, Shuaiqiang Wang
2018	J	`jnl`	Polygene-based evolutionary algorithms with frequent pattern mining. Frontiers Comput. Sci. Shuaiqiang Wang, Yilong Yin
2018	J	`jnl`	User session level diverse reranking of search results. Neurocomputing Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren, Tinghuai Ma
2017	C	`conf`	A Serendipity-Oriented Greedy Algorithm for Recommendations. WEBIST Denis Kotkov, Jari Veijalainen, Shuaiqiang Wang
2017	J	`jnl`	Behavior-based personalization in web search. J. Assoc. Inf. Sci. Technol. Fei Cai, Shuaiqiang Wang, Maarten de Rijke
2017	A*	`conf`	CitySearcher: A City Search Engine For Interests. SIGIR Mohamed Abdel Maksoud, Gaurav Pandey, Shuaiqiang Wang
2017	J	`jnl`	Detecting temporal patterns of user queries. J. Assoc. Inf. Sci. Technol. Pengjie Ren, Zhumin Chen, Jun Ma, Zhiwei Zhang, Luo Si, Shuaiqiang Wang
2017	A*	`conf`	Learning to Recommend Accurate and Diverse Items. WWW Peizhe Cheng, Shuaiqiang Wang, Jun Ma, Jiankai Sun, Hui Xiong
2017	A	`conf`	Social Collaborative Viewpoint Regression with Explainable Recommendations. WSDM Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke
2017	J	`jnl`	基于矩阵分解优化的排序学习特征构造方法 (Feature Construction Method for Learning to Rank Based on Optimization of Matrix Factorization). 计算机科学 Xiao Yang, Chaoran Cui, Shuaiqiang Wang
2016	J	`jnl`	A survey of serendipity in recommender systems. Knowl. Based Syst. Denis Kotkov, Shuaiqiang Wang, Jari Veijalainen
2016	—	`conf`	Challenges of Serendipity in Recommender Systems. WEBIST (2) Denis Kotkov, Jari Veijalainen, Shuaiqiang Wang
2016	—	`conf`	Cross-Domain Recommendations with Overlapping Items. WEBIST (2) Denis Kotkov, Shuaiqiang Wang, Jari Veijalainen
2016	—	`conf`	Improving Serendipity and Accuracy in Cross-Domain Recommender Systems. WEBIST (Revised Selected Papers) Denis Kotkov, Shuaiqiang Wang, Jari Veijalainen
2016	J	`jnl`	Ranking-Oriented Collaborative Filtering: A Listwise Approach. ACM Trans. Inf. Syst. Shuaiqiang Wang, Shanshan Huang, Tie-Yan Liu, Jun Ma, Zhumin Chen, Jari Veijalainen
2015	J	`jnl`	A Cooperative Coevolution Framework for Parallel Learning to Rank. IEEE Trans. Knowl. Data Eng. Shuaiqiang Wang, Yun Wu, Byron J. Gao, Ke Wang, Hady Wirawan Lauw, Jun Ma
2015	J	`jnl`	A Hybrid Multigroup Coclustering Recommendation Framework Based on Information Fusion. ACM Trans. Intell. Syst. Technol. Shanshan Huang, Jun Ma, Peizhe Cheng, Shuaiqiang Wang
2015	J	`jnl`	Improving image annotation via ranking-oriented neighbor search and learning-based keyword propagation. J. Assoc. Inf. Sci. Technol. Chaoran Cui, Jun Ma, Tao Lian, Zhumin Chen, Shuaiqiang Wang
2015	A*	`conf`	Listwise Collaborative Filtering. SIGIR Shanshan Huang, Shuaiqiang Wang, Tie-Yan Liu, Jun Ma, Zhumin Chen, Jari Veijalainen
2015	J	`jnl`	Mining and ranking users' intents behind queries. Inf. Retr. J. Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren
2015	C	`conf`	Tourism Service Composition Based on Multi-objective Optimization. ISADS Xuwei Zheng, Ruzhi Xu, Yun Peng, Shuaiqiang Wang
2014	J	`jnl`	Distributed collaborative filtering with singular ratings for large scale recommendation. J. Syst. Softw. Ruzhi Xu, Shuaiqiang Wang, Xuwei Zheng, Yinong Chen
2014	J	`jnl`	Singular value decomposition based minutiae matching method for finger vein recognition. Neurocomputing Fei Liu, Gongping Yang, Yilong Yin, Shuaiqiang Wang
2014	J	`jnl`	VSRank: A Novel Framework for Ranking-Based Collaborative Filtering. ACM Trans. Intell. Syst. Technol. Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma
2013	J	`jnl`	User-Centric Organization of Search Results. IEEE Internet Comput. Byron J. Gao, David Buttler, David C. Anastasiu, Shuaiqiang Wang, Peng Zhang, Joey Jan
2012	A	`conf`	Adapting vector space model to ranking-based collaborative filtering. CIKM Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma
2012	A	`conf`	Importance weighted passive learning. CIKM Shuaiqiang Wang, Xiaoming Xi, Yilong Yin
2012	A	`conf`	Learning to rank for hybrid recommendation. CIKM Jiankai Sun, Shuaiqiang Wang, Byron J. Gao, Jun Ma
2012	A	`conf`	Polygene-based evolution: a novel framework for evolutionary algorithms. CIKM Shuaiqiang Wang, Byron J. Gao, Shuangling Wang, Guibao Cao, Yilong Yin
2012	A	`conf`	Semantically coherent image annotation with a learning-based keyword propagation strategy. CIKM Chaoran Cui, Jun Ma, Shuaiqiang Wang, Shuai Gao, Tao Lian
2011	A*	`conf`	CCRank: Parallel Learning to Rank with Cooperative Coevolution. AAAI Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw
2011	A*	`conf`	Parallel learning to rank for information retrieval. SIGIR Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw
2011	A	`conf`	Summarizing web forum threads based on a latent topic propagation process. CIKM Zhaochun Ren, Jun Ma, Shuaiqiang Wang, Yang Liu
2010	J	`jnl`	An immune programming-based ranking function discovery approach for effective information retrieval. Expert Syst. Appl. Shuaiqiang Wang, Jun Ma, Qiang He
2010	A	`conf`	Directly optimizing evaluation measures in learning to rank based on the clonal selection algorithm. CIKM Qiang He, Jun Ma, Shuaiqiang Wang
2010	J	`jnl`	Evolving choice structures for genetic programming. Inf. Process. Lett. Shuaiqiang Wang, Jun Ma, Jiming Liu, Xiaofei Niu
2010	J	`jnl`	Formal behavior modeling and effective automatic refinement. Inf. Sci. Shuaiqiang Wang, Jun Ma, Qiang He, Jiancheng Wan
2010	—	`conf`	Learning to Detect Web Spam by Genetic Programming. WAIM Xiaofei Niu, Jun Ma, Qiang He, Shuaiqiang Wang, Dongmei Zhang
2009	A	`conf`	Learning to rank using evolutionary computation: immune programming or genetic programming? CIKM Shuaiqiang Wang, Jun Ma, Jiming Liu
2007	—	`conf`	Formalization of Architecture-Centric Model Mapping Using Category Theory. SNPD (1) Jinkui Hou, Jiancheng Wan, Shuaiqiang Wang
2007	—	`conf`	OR-ATP: An Operation Refinement Approach As a Process of Automatic Theorem Proving. SNPD (3) Shuaiqiang Wang, Jiancheng Wan, Jinkui Hou
2007	C	`conf`	PostB: The Post-condition Extension onto the B-Method. SERA Shuaiqiang Wang, Ying Li, Guodong Huang