PostB: The Post-condition Extension onto the B-Method. - Shuaiqiang Wang; Ying Li; Guodong Huang (SERA, 2007)

Formalization of Architecture-Centric Model Mapping Using Category Theory. - Jinkui Hou; Jiancheng Wan; Shuaiqiang Wang (SNPD (1), 2007)

OR-ATP: An Operation Refinement Approach As a Process of Automatic Theorem Proving. - Shuaiqiang Wang; Jiancheng Wan; Jinkui Hou (SNPD (3), 2007)

Learning to rank using evolutionary computation: immune programming or genetic programming? - Shuaiqiang Wang; Jun Ma 001; Jiming Liu 001 (CIKM, 2009)

Directly optimizing evaluation measures in learning to rank based on the clonal selection algorithm. - Qiang He; Jun Ma 001; Shuaiqiang Wang (CIKM, 2010)

Learning to Detect Web Spam by Genetic Programming. - Xiaofei Niu; Jun Ma 001; Qiang He; Shuaiqiang Wang; Dongmei Zhang 002 (WAIM, 2010)

An immune programming-based ranking function discovery approach for effective information retrieval. - Shuaiqiang Wang; Jun Ma 001; Qiang He (Expert Syst. Appl., 2010)

Evolving choice structures for genetic programming. - Shuaiqiang Wang; Jun Ma 001; Jiming Liu 001; Xiaofei Niu (Inf. Process. Lett., 2010)

Formal behavior modeling and effective automatic refinement. - Shuaiqiang Wang; Jun Ma 001; Qiang He; Jiancheng Wan (Inf. Sci., 2010)

CCRank: Parallel Learning to Rank with Cooperative Coevolution. - Shuaiqiang Wang; Byron J. Gao; Ke Wang 001; Hady Wirawan Lauw (AAAI, 2011)

Summarizing web forum threads based on a latent topic propagation process. - Zhaochun Ren; Jun Ma 001; Shuaiqiang Wang; Yang Liu 008 (CIKM, 2011)

Parallel learning to rank for information retrieval. - Shuaiqiang Wang; Byron J. Gao; Ke Wang 001; Hady Wirawan Lauw (SIGIR, 2011)

Semantically coherent image annotation with a learning-based keyword propagation strategy. - Chaoran Cui; Jun Ma 001; Shuaiqiang Wang; Shuai Gao; Tao Lian (CIKM, 2012)

Learning to rank for hybrid recommendation. - Jiankai Sun; Shuaiqiang Wang; Byron J. Gao; Jun Ma 001 (CIKM, 2012)

Polygene-based evolution: a novel framework for evolutionary algorithms. - Shuaiqiang Wang; Byron J. Gao; Shuangling Wang; Guibao Cao; Yilong Yin (CIKM, 2012)

Adapting vector space model to ranking-based collaborative filtering. - Shuaiqiang Wang; Jiankai Sun; Byron J. Gao; Jun Ma 001 (CIKM, 2012)

Importance weighted passive learning. - Shuaiqiang Wang; Xiaoming Xi; Yilong Yin (CIKM, 2012)

User-Centric Organization of Search Results. - Byron J. Gao; David Buttler; David C. Anastasiu; Shuaiqiang Wang; Peng Zhang 001; Joey Jan (IEEE Internet Comput., 2013)

Singular value decomposition based minutiae matching method for finger vein recognition. - Fei Liu 010; Gongping Yang; Yilong Yin; Shuaiqiang Wang (Neurocomputing, 2014)

Distributed collaborative filtering with singular ratings for large scale recommendation. - Ruzhi Xu; Shuaiqiang Wang; Xuwei Zheng; Yinong Chen (J. Syst. Softw., 2014)

VSRank: A Novel Framework for Ranking-Based Collaborative Filtering. - Shuaiqiang Wang; Jiankai Sun; Byron J. Gao; Jun Ma 001 (ACM Trans. Intell. Syst. Technol., 2014)

Tourism Service Composition Based on Multi-objective Optimization. - Xuwei Zheng; Ruzhi Xu; Yun Peng 002; Shuaiqiang Wang (ISADS, 2015)

Listwise Collaborative Filtering. - Shanshan Huang 003; Shuaiqiang Wang; Tie-Yan Liu; Jun Ma 001; Zhumin Chen; Jari Veijalainen (SIGIR, 2015)

Mining and ranking users' intents behind queries. - Pengjie Ren; Zhumin Chen; Jun Ma 001; Shuaiqiang Wang; Zhiwei Zhang; Zhaochun Ren (Inf. Retr. J., 2015)

Improving image annotation via ranking-oriented neighbor search and learning-based keyword propagation. - Chaoran Cui; Jun Ma 001; Tao Lian; Zhumin Chen; Shuaiqiang Wang (J. Assoc. Inf. Sci. Technol., 2015)

A Hybrid Multigroup Coclustering Recommendation Framework Based on Information Fusion. - Shanshan Huang 003; Jun Ma 001; Peizhe Cheng; Shuaiqiang Wang (ACM Trans. Intell. Syst. Technol., 2015)

A Cooperative Coevolution Framework for Parallel Learning to Rank. - Shuaiqiang Wang; Yun Wu; Byron J. Gao; Ke Wang 001; Hady Wirawan Lauw; Jun Ma 001 (IEEE Trans. Knowl. Data Eng., 2015)

Challenges of Serendipity in Recommender Systems. - Denis Kotkov; Jari Veijalainen; Shuaiqiang Wang (WEBIST (2), 2016)

Cross-Domain Recommendations with Overlapping Items. - Denis Kotkov; Shuaiqiang Wang; Jari Veijalainen (WEBIST (2), 2016)

Improving Serendipity and Accuracy in Cross-Domain Recommender Systems. - Denis Kotkov; Shuaiqiang Wang; Jari Veijalainen (WEBIST (Revised Selected Papers), 2016)

A survey of serendipity in recommender systems. - Denis Kotkov; Shuaiqiang Wang; Jari Veijalainen (Knowl. Based Syst., 2016)

Ranking-Oriented Collaborative Filtering: A Listwise Approach. - Shuaiqiang Wang; Shanshan Huang 003; Tie-Yan Liu; Jun Ma 001; Zhumin Chen; Jari Veijalainen (ACM Trans. Inf. Syst., 2016)

CitySearcher: A City Search Engine For Interests. - Mohamed Abdel Maksoud; Gaurav Pandey 003; Shuaiqiang Wang (SIGIR, 2017)

A Serendipity-Oriented Greedy Algorithm for Recommendations. - Denis Kotkov; Jari Veijalainen; Shuaiqiang Wang (WEBIST, 2017)

Social Collaborative Viewpoint Regression with Explainable Recommendations. - Zhaochun Ren; Shangsong Liang; Piji Li; Shuaiqiang Wang; Maarten de Rijke (WSDM, 2017)

Learning to Recommend Accurate and Diverse Items. - Peizhe Cheng; Shuaiqiang Wang; Jun Ma 001; Jiankai Sun; Hui Xiong 001 (WWW, 2017)

Behavior-based personalization in web search. - Fei Cai; Shuaiqiang Wang; Maarten de Rijke (J. Assoc. Inf. Sci. Technol., 2017)

Detecting temporal patterns of user queries. - Pengjie Ren; Zhumin Chen; Jun Ma 001; Zhiwei Zhang; Luo Si; Shuaiqiang Wang (J. Assoc. Inf. Sci. Technol., 2017)

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). - Xiao Yang; Chaoran Cui; Shuaiqiang Wang (计算机科学, 2017)

Listwise Recommendation Approach with Non-negative Matrix Factorization. - Gaurav Pandey 003; Shuaiqiang Wang (KES-IDT, 2018)

Finding Tours for a Set of Interests. - Mohamed Abdel Maksoud; Gaurav Pandey 003; Shuaiqiang Wang (WWW (Companion Volume), 2018)

Etymo: A New Discovery Engine for AI Research. - Weijian Zhang; Jonathan Deakin; Nicholas J. Higham; Shuaiqiang Wang (WWW (Companion Volume), 2018)

Polygene-based evolutionary algorithms with frequent pattern mining. - Shuaiqiang Wang; Yilong Yin (Frontiers Comput. Sci., 2018)

Learning to rank images for complex queries in concept-based search. - Chaoran Cui; Jialie Shen 001; Zhumin Chen; Shuaiqiang Wang; Jun Ma 001 (Neurocomputing, 2018)

User session level diverse reranking of search results. - Pengjie Ren; Zhumin Chen; Jun Ma 001; Shuaiqiang Wang; Zhiwei Zhang; Zhaochun Ren; Tinghuai Ma (Neurocomputing, 2018)

Linear feature extraction for ranking. - Gaurav Pandey 003; Zhaochun Ren; Shuaiqiang Wang; Jari Veijalainen; Maarten de Rijke (Inf. Retr. J., 2018)

Vectors of Pairwise Item Preferences. - Gaurav Pandey 003; Shuaiqiang Wang; Zhaochun Ren; Yi Chang 001 (ECIR (1), 2019)

IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. - Jia Wu 001; Shirui Pan; Junjun Jiang; Zhihua Cai; Bo Du 001; Yingjie Tian 001; Shuaiqiang Wang; Haishuai Wang (IEEE Access, 2019)

Deep 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 (CIKM, 2020)

Time Matters: Sequential Recommendation with Complex Temporal Information. - Wenwen Ye; Shuaiqiang Wang; Xu Chen 017; Xuepeng Wang; Zheng Qin 003; Dawei Yin (SIGIR, 2020)

Hierarchical User Profiling for E-commerce Recommender Systems. - Yulong Gu; Zhuoye Ding; Shuaiqiang Wang; Dawei Yin (WSDM, 2020)

How does serendipity affect diversity in recommender systems? A serendipity-oriented greedy algorithm. - Denis Kotkov; Jari Veijalainen; Shuaiqiang Wang (Computing, 2020)

Pre-trained Language Model for Web-scale Retrieval in Baidu Search. - Yiding Liu; Weixue Lu; Suqi Cheng; Daiting Shi; Shuaiqiang Wang; Zhicong Cheng; Dawei Yin (KDD, 2021)

Pre-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 (KDD, 2021)

Enhanced 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 001 (SIGIR, 2021)

Pre-trained Language Model for Web-scale Retrieval in Baidu Search. - Yiding Liu; Guan Huang; Jiaxiang Liu 004; Weixue Lu; Suqi Cheng; Yukun Li; Daiting Shi; Shuaiqiang Wang; Zhicong Cheng; Dawei Yin (CoRR, 2021)

Approximated Doubly Robust Search Relevance Estimation. - Lixin Zou; Changying Hao; Hengyi Cai; Shuaiqiang Wang; Suqi Cheng; Zhicong Cheng; Wenwen Ye; Simiu Gu; Dawei Yin (CIKM, 2022)

A Large Scale Search Dataset for Unbiased Learning to Rank. - Lixin Zou; Haitao Mao; Xiaokai Chu; Jiliang Tang; Wenwen Ye; Shuaiqiang Wang; Dawei Yin (NeurIPS, 2022)

Incorporating 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 (SIGIR, 2022)

Fast Semantic Matching via Flexible Contextualized Interaction. - Wenwen Ye; Yiding Liu; Lixin Zou; Hengyi Cai; Suqi Cheng; Shuaiqiang Wang; Dawei Yin (WSDM, 2022)

ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval. - Yuxiang Lu; Yiding Liu; Jiaxiang Liu 004; Yunsheng Shi; Zhengjie Huang; Shikun Feng; Yu Sun 004; Hao Tian 005; Hua Wu 003; Shuaiqiang Wang; Dawei Yin; Haifeng Wang 001 (CoRR, 2022)

Practical Strategies of Active Learning to Rank for Web Search. - Qingzhong Wang; Haifang Li 003; Haoyi Xiong; Wen Wang; Jiang Bian 003; Yu Lu; Shuaiqiang Wang; Zhicong Cheng; Jingbo Zhou; Dawei Yin; Dejing Dou (CoRR, 2022)

Geometry Contrastive Learning on Heterogeneous Graphs. - Shichao Zhu; Chuan Zhou 001; Anfeng Cheng; Shirui Pan; Shuaiqiang Wang; Dawei Yin; Bin Wang 004 (CoRR, 2022)

Boosting Event Extraction with Denoised Structure-to-Text Augmentation. - Bo Wang 134; Heyan Huang; Xiaochi Wei; Ge Shi 002; Xiao Liu 029; Chong Feng 001; Tong Zhou; Shuaiqiang Wang; Dawei Yin (ACL (Findings), 2023)

I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. - Qian Dong; Yiding Liu; Qingyao Ai; Haitao Li 006; Shuaiqiang Wang; Yiqun Liu 001; Dawei Yin; Shaoping Ma (CIKM, 2023)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. - Weiwei Sun 001; Lingyong Yan; Xinyu Ma; Shuaiqiang Wang; Pengjie Ren; Zhumin Chen; Dawei Yin; Zhaochun Ren (EMNLP, 2023)

DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment. - Yukun Zhao; Lingyong Yan; Weiwei Sun 001; Chong Meng; Shuaiqiang Wang; Zhicong Cheng; Zhaochun Ren; Dawei Yin (EMNLP (Findings), 2023)

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale. - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Zeyi Sun 001; Hongyang Chen; Shuaiqiang Wang; Dawei Yin (ICDM, 2023)

S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data. - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Qingzhong Wang; Shuaiqiang Wang; Guihai Chen; Dawei Yin (KDD, 2023)

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Jiangui Chen; Zuowei Zhu; Shuaiqiang Wang; Dawei Yin; Xueqi Cheng (KDD, 2023)

Learning to Tokenize for Generative Retrieval. - Weiwei Sun 001; Lingyong Yan; Zheng Chen; Shuaiqiang Wang; Haichao Zhu; Pengjie Ren; Zhumin Chen; Dawei Yin; Maarten de Rijke; Zhaochun Ren (NeurIPS, 2023)

Overview of the NTCIR-17 Unbiased Learning to Rank Evaluation 2 (ULTRE-2) Task. - Zechun Niu; Jiaxin Mao; Qingyao Ai; Lixin Zou; Shuaiqiang Wang; Dawei Yin (NTCIR, 2023)

LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search. - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Shuaiqiang Wang; Zeyi Sun 001; Hongyang Chen; Guihai Chen; Dawei Yin (ECML/PKDD (6), 2023)

Graph Enhanced BERT for Query Understanding. - Juanhui Li; Wei Zeng 008; Suqi Cheng; Yao Ma 001; Jiliang Tang; Shuaiqiang Wang; Dawei Yin (SIGIR, 2023)

Layout-aware Webpage Quality Assessment. - Anfeng Cheng; Yiding Liu; Weibin Li; Qian Dong; Shuaiqiang Wang; Zhengjie Huang; Shikun Feng; Zhicong Cheng; Dawei Yin (CoRR, 2023)

Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction. - Canjia Li; Xiaoyang Wang; Dongdong Li; Yiding Liu; Yu Lu; Shuaiqiang Wang; Zhicong Cheng; Simiu Gu; Dawei Yin (CoRR, 2023)

I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. - Qian Dong; Yiding Liu; Qingyao Ai; Haitao Li 006; Shuaiqiang Wang; Yiqun Liu 001; Dawei Yin; Shaoping Ma (CoRR, 2023)

Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback. - Qian Dong; Yiding Liu; Qingyao Ai; Zhijing Wu 001; Haitao Li 006; Yiqun Liu 001; Shuaiqiang Wang; Dawei Yin; Shaoping Ma (CoRR, 2023)

DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment. - Yukun Zhao; Lingyong Yan; Weiwei Sun 001; Chong Meng; Shuaiqiang Wang; Zhicong Cheng; Zhaochun Ren; Dawei Yin (CoRR, 2023)

Enhancing Graph Neural Networks with Structure-Based Prompt. - Qingqing Ge; Zeyuan Zhao; Yiding Liu; Anfeng Cheng; Xiang Li 067; Shuaiqiang Wang; Dawei Yin (CoRR, 2023)

Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers. - Weiwei Sun 001; Zheng Chen; Xinyu Ma; Lingyong Yan; Shuaiqiang Wang; Pengjie Ren; Zhumin Chen; Dawei Yin; Zhaochun Ren (CoRR, 2023)

Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks. - Zeyuan Zhao; Qingqing Ge; Anfeng Cheng; Yiding Liu; Xiang Li 067; Shuaiqiang Wang (CoRR, 2023)

Self-supervised Heterogeneous Graph Variational Autoencoders. - Yige Zhao; Jianxiang Yu 001; Yao Cheng; Chengcheng Yu; Yiding Liu; Xiang Li 067; Shuaiqiang Wang (CoRR, 2023)

Pre-trained Language Model-based Retrieval and Ranking for Web Search. - Lixin Zou; Weixue Lu; Yiding Liu; Hengyi Cai; Xiaokai Chu; Dehong Ma; Daiting Shi; Yu Sun 029; Zhicong Cheng; Simiu Gu; Shuaiqiang Wang; Dawei Yin (ACM Trans. Web, 2023)

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. - Zhikai Chen; Haitao Mao; Hang Li 007; Wei Jin 009; Hongzhi Wen; Xiaochi Wei; Shuaiqiang Wang; Dawei Yin; Wenqi Fan; Hui Liu 031; Jiliang Tang (SIGKDD Explor., 2023)

COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search. - Yuchen Li 006; Haoyi Xiong; Qingzhong Wang; Linghe Kong; Hao Liu 026; Haifang Li 003; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dejing Dou; Dawei Yin (IEEE Trans. Knowl. Data Eng., 2023)

Exploring Memorization in Fine-tuned Language Models. - Shenglai Zeng; Yaxin Li 001; Jie Ren 019; Yiding Liu; Han Xu 002; Pengfei He; Yue Xing 002; Shuaiqiang Wang; Jiliang Tang; Dawei Yin (ACL (1), 2024)

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). - Shenglai Zeng; Jiankun Zhang; Pengfei He; Yiding Liu; Yue Xing 002; Han Xu 002; Jie Ren 019; Yi Chang 001; Shuaiqiang Wang; Dawei Yin; Jiliang Tang (ACL (Findings), 2024)

Towards Completeness-Oriented Tool Retrieval for Large Language Models. - Changle Qu; Sunhao Dai; Xiaochi Wei; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Jun Xu 001; Ji-Rong Wen (CIKM, 2024)

Hyperbolic Contrastive Learning for Cross-Domain Recommendation. - Xin Yang; Heng Chang; Zhijian Lai; Jinze Yang; Xingrun Li; Yu Lu; Shuaiqiang Wang; Dawei Yin; Erxue Min (CIKM, 2024)

Improving the Robustness of Large Language Models via Consistency Alignment. - Yukun Zhao; Lingyong Yan; Weiwei Sun 001; Guoliang Xing; Shuaiqiang Wang; Chong Meng; Zhicong Cheng; Zhaochun Ren; Dawei Yin (LREC/COLING, 2024)

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning. - Hao Sun 015; Jiayi Wu 001; Hengyi Cai; Xiaochi Wei; Yue Feng 002; Bo Wang; Shuaiqiang Wang; Yan Zhang 117; Dawei Yin (EMNLP, 2024)

KnowTuning: 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 (EMNLP, 2024)

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection. - Hao Sun 015; Hengyi Cai; Bo Wang; Yingyan Hou; Xiaochi Wei; Shuaiqiang Wang; Yan Zhang 117; Dawei Yin (EMNLP, 2024)

LT2R: Learning to Online Learning to Rank for Web Search. - Xiaokai Chu; Changying Hao; Shuaiqiang Wang; Dawei Yin; Jiashu Zhao; Lixin Zou; Chenliang Li (ICDE, 2024)

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract). - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Zeyi Sun 001; Hongyang Chen; Shuaiqiang Wang; Dawei Yin (IJCAI, 2024)

GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract). - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dawei Yin (IJCAI, 2024)

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion. - Pengyue Jia; Yiding Liu; Xiangyu Zhao 001; Xiaopeng Li; Changying Hao; Shuaiqiang Wang; Dawei Yin (NAACL-HLT, 2024)

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. - Jie Ren 019; Han Xu 002; Yiding Liu; Yingqian Cui; Shuaiqiang Wang; Dawei Yin; Jiliang Tang (NAACL-HLT (Findings), 2024)

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method. - Yukun Zhao; Lingyong Yan; Weiwei Sun 001; Guoliang Xing; Chong Meng; Shuaiqiang Wang; Zhicong Cheng; Zhaochun Ren; Dawei Yin (NAACL-HLT, 2024)

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. - Pengyue Jia; Yiding Liu; Xiaopeng Li; Xiangyu Zhao 001; Yuhao Wang 006; Yantong Du; Xiao Han 004; Xuetao Wei; Shuaiqiang Wang; Dawei Yin (NeurIPS, 2024)

Cross-model Control: Improving Multiple Large Language Models in One-time Training. - Jiayi Wu 001; Hao Sun 015; Hengyi Cai; Lixin Su; Shuaiqiang Wang; Dawei Yin; Xiang Li 067; Ming Gao 001 (NeurIPS, 2024)

PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks. - Qingqing Ge; Zeyuan Zhao; Yiding Liu; Anfeng Cheng; Xiang Li 067; Shuaiqiang Wang; Dawei Yin (ECML/PKDD (5), 2024)

HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness. - Zeyuan Zhao; Qingqing Ge; Anfeng Cheng; Yiding Liu; Xiang Li 067; Shuaiqiang Wang (ECML/PKDD (6), 2024)

Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback. - Qian Dong; Yiding Liu; Qingyao Ai; Zhijing Wu 001; Haitao Li 006; Yiqun Liu 001; Shuaiqiang Wang; Dawei Yin; Shaoping Ma (SIGIR, 2024)

XL2Bench: A Benchmark for Extremely Long Context Understanding with Long-range Dependencies. - Xuanfan Ni; Hengyi Cai; Xiaochi Wei; Shuaiqiang Wang; Dawei Yin; Piji Li (CoRR, 2024)

COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models. - Changle Qu; Sunhao Dai; Xiaochi Wei; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Jun Xu 001; Ji-Rong Wen (CoRR, 2024)

Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System. - Xin Yang; Heng Chang; Zhijian Lai; Jinze Yang; Xingrun Li; Yu Lu; Shuaiqiang Wang; Dawei Yin; Erxue Min (CoRR, 2024)

Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract). - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Zeyi Sun 001; Hongyang Chen; Shuaiqiang Wang; Dawei Yin (CoRR, 2024)

Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract). - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dawei Yin (CoRR, 2024)

When Search Engine Services Meet Large Language Models: Visions and Challenges. - Haoyi Xiong; Jiang Bian 003; Yuchen Li 006; Xuhong Li 002; Mengnan Du; Shuaiqiang Wang; Dawei Yin; Sumi Helal (IEEE Trans. Serv. Comput., 2024)

A Simple yet Effective Framework for Active Learning to Rank. - Qingzhong Wang; Haifang Li 003; Haoyi Xiong; Wen Wang; Jiang Bian 003; Yu Lu; Shuaiqiang Wang; Zhicong Cheng; Dejing Dou; Dawei Yin (Mach. Intell. Res., 2024)

Explainability for Large Language Models: A Survey. - Haiyan Zhao 003; Hanjie Chen; Fan Yang 023; Ninghao Liu; Huiqi Deng; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Mengnan Du (ACM Trans. Intell. Syst. Technol., 2024)

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. - Xixun Lin; Chuan Zhou 001; Jia Wu 001; Lixin Zou; Shirui Pan; Yanan Cao 001; Bin Wang 004; Shuaiqiang Wang; Dawei Yin (IEEE Trans. Knowl. Data Eng., 2024)

GS2P: a generative pre-trained learning to rank model with over-parameterization for web-scale search. - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dawei Yin (Mach. Learn., 2024)

Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework. - Zhidan Wang; Lixin Zou; Chenliang Li; Shuaiqiang Wang; Xu Chen 017; Dawei Yin; Weidong Liu 001 (ACM Trans. Inf. Syst., 2024)

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation. - Shijie Wang 002; Wenqi Fan; Yue Feng 002; Shanru Lin; Xinyu Ma; Shuaiqiang Wang; Dawei Yin (ACL (1), 2025)

LLMs + Persona-Plug = Personalized LLMs. - Jiongnan Liu; Yutao Zhu 001; Shuting Wang 002; Xiaochi Wei; Erxue Min; Yu Lu; Shuaiqiang Wang; Dawei Yin; Zhicheng Dou (ACL (1), 2025)

Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models. - Wenhan Liu; Xinyu Ma; Yutao Zhu 001; Ziliang Zhao; Shuaiqiang Wang; Dawei Yin; Zhicheng Dou (ACL (1), 2025)

Retrieval 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 (ACL (Findings), 2025)

Enhancing Retrieval-Augmented Generation via Evidence Tree Search. - Hao Sun; Hengyi Cai; Yuchen Li; Xuanbo Fan; Xiaochi Wei; Shuaiqiang Wang; Yan Zhang; Dawei Yin (ACL (1), 2025)

Task 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 (ACL (Findings), 2025)

Divide-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 (ACL (1), 2025)

M2oERank: Multi-Objective Mixture-of-Experts Enhanced Ranking for Satisfaction-Oriented Web Search. - Yuchen Li 006; Hao Zhang; Yongqi Zhang; Xinyu Ma; Wenwen Ye; Naifei Song; Shuaiqiang Wang; Haoyi Xiong; Dawei Yin; Lei Chen (ICDE, 2025)

DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. - Xihong Yang; Heming Jing; Zixing Zhang 006; Jindong Wang; Huakang Niu; Shuaiqiang Wang; Yu Lu; Junfeng Wang; Dawei Yin; Xinwang Liu 002; En Zhu; Defu Lian; et al. (ICDE, 2025)

From 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 001; Ji-Rong Wen (ICLR, 2025)

RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search. - Yuchen Li 006; Haoyi Xiong; Yongqi Zhang; Jiang Bian 003; Tianhao Peng 002; Xuhong Li 002; Shuaiqiang Wang; Linghe Kong; Dawei Yin (KDD (1), 2025)

Generative Retrieval for Book Search. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Shihao Liu; Shuaiqiang Wang; Dawei Yin; Xueqi Cheng (KDD (1), 2025)

Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes. - Yige Zhao; Jianxiang Yu 001; Yao Cheng; Chengcheng Yu; Yiding Liu; Xiang Li 067; Shuaiqiang Wang (KDD (1), 2025)

PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization. - Jiayi Wu 001; Hengyi Cai; Lingyong Yan; Hao Sun 015; Xiang Li 067; Shuaiqiang Wang; Dawei Yin; Ming Gao 001 (NAACL (Long Papers), 2025)

Replication and Exploration of Generative Retrieval over Dynamic Corpora. - Zhen Zhang; Xinyu Ma; Weiwei Sun 001; Pengjie Ren; Zhumin Chen; Shuaiqiang Wang; Dawei Yin; Maarten de Rijke; Zhaochun Ren (SIGIR, 2025)

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation. - Shijie Wang 002; Wenqi Fan; Yue Feng 002; Xinyu Ma; Shuaiqiang Wang; Dawei Yin (CoRR, 2025)

Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning. - Yiqun Chen 004; Lingyong Yan; Weiwei Sun 001; Xinyu Ma; Yi Zhang 050; Shuaiqiang Wang; Dawei Yin; Yiming Yang; Jiaxin Mao (CoRR, 2025)

VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos. - Xubin Ren; Lingrui Xu; Long Xia; Shuaiqiang Wang; Dawei Yin; Chao Huang 001 (CoRR, 2025)

Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking. - Junda Zhu 003; Lingyong Yan; Shuaiqiang Wang; Dawei Yin; Lei Sha (CoRR, 2025)

Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs. - Jiani Huang 001; Shijie Wang 002; Liang-Bo Ning 001; Wenqi Fan; Shuaiqiang Wang; Dawei Yin; Qing Li 001 (CoRR, 2025)

CoRanking: Collaborative Ranking with Small and Large Ranking Agents. - Wenhan Liu; Xinyu Ma; Yutao Zhu 001; Lixin Su; Shuaiqiang Wang; Dawei Yin; Zhicheng Dou (CoRR, 2025)

TP-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 001; Hao Liu 026 (CoRR, 2025)

From Prompting to Alignment: A Generative Framework for Query Recommendation. - Erxue Min; Hsiu-Yuan Huang; Min Yang; Xihong Yang; Xin Jia; Yunfang Wu; Hengyi Cai; Shuaiqiang Wang; Dawei Yin (CoRR, 2025)

Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models. - Zhengliang Shi; Lingyong Yan; Weiwei Sun 001; Yue Feng 002; Pengjie Ren; Xinyu Ma; Shuaiqiang Wang; Dawei Yin; Maarten de Rijke; Zhaochun Ren (CoRR, 2025)

Joint Flashback Adaptation for Forgetting-Resistant Instruction Tuning. - Yukun Zhao; Lingyong Yan; Zhenyang Li; Shuaiqiang Wang; Zhumin Chen; Zhaochun Ren; Dawei Yin (CoRR, 2025)

Proactive Guidance of Multi-Turn Conversation in Industrial Search. - Xiaoyu Li; Xiao Li; Li Gao; Yiding Liu; Xiaoyang Wang; Shuaiqiang Wang; Junfeng Wang; Dawei Yin (CoRR, 2025)

Mitigating 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 (CoRR, 2025)

Leveraging LLMs to Evaluate Usefulness of Document. - Xingzhu Wang; Erhan Zhang; Yiqun Chen 004; Jinghan Xuan; Yucheng Hou; Yitong Xu; Ying Nie; Shuaiqiang Wang; Dawei Yin; Jiaxin Mao (CoRR, 2025)

Towards AI Search Paradigm. - Yuchen Li 006; Hengyi Cai; Rui Kong; Xinran Chen; Jiamin Chen; Jun Yang; Haojie Zhang; Jiayi Li; Jiayi Wu; Yiqun Chen; Changle Qu; Keyi Kong; et al. (CoRR, 2025)

Multi-turn Jailbreaking via Global Refinement and Active Fabrication. - Hua Tang; Lingyong Yan; Yukun Zhao; Shuaiqiang Wang; Jizhou Huang; Dawei Yin (CoRR, 2025)

DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models. - Zihao Li; Ruixiang Tang; Lu Cheng 001; Shuaiqiang Wang; Dawei Yin; Mengnan Du (SIGKDD Explor., 2025)

CTR-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 (CoRR, 2025)

Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation. - Hengran Zhang; Keping Bi; Jiafeng Guo; Jiaming Zhang; Shuaiqiang Wang; Dawei Yin; Xueqi Cheng (CoRR, 2025)

MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation. - Yiqun Chen 004; Erhan Zhang; Lingyong Yan; Shuaiqiang Wang; Jizhou Huang; Dawei Yin; Jiaxin Mao (CoRR, 2025)

VPN: Visual Prompt Navigation. - Shuo Feng; Zihan Wang; Yuchen Li; Rui Kong; Hengyi Cai; Shuaiqiang Wang; Gim Hee Lee; Piji Li; Shuqiang Jiang (CoRR, 2025)

A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation. - Ziyang Chen; Erxue Min; Xiang Zhao 002; Yunxin Li; Xin Jia; Jinzhi Liao; Jichao Li; Shuaiqiang Wang; Baotian Hu; Dawei Yin (CoRR, 2025)

Curriculum Approximate Unlearning for Session-based Recommendation. - Liu Yang; Zhaochun Ren; Ziqi Zhao; Pengjie Ren; Zhumin Chen; Xinyi Li 001; Shuaiqiang Wang; Dawei Yin; Xin Xin 003 (CoRR, 2025)

Tool learning with large language models: a survey. - Changle Qu; Sunhao Dai; Xiaochi Wei; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Jun Xu 001; Ji-Rong Wen (Frontiers Comput. Sci., 2025)