A Model-Agnostic Causal Learning Framework for Recommendation using Search Data. - Zihua Si; Xueran Han; Xiao Zhang 034; Jun Xu 001; Yue Yin; Yang Song 008; Ji-Rong Wen (WWW, 2022)

Partial Information as Full: Reward Imputation with Sketching in Bandits. - Xiao Zhang 034; Ninglu Shao; Zihua Si; Jun Xu 001; Wenhan Wang; Hanjing Su; Ji-Rong Wen (CoRR, 2022)

KuaiSAR: A Unified Search And Recommendation Dataset. - Zhongxiang Sun; Zihua Si; Xiaoxue Zang; Dewei Leng; Yanan Niu; Yang Song 008; Xiao Zhang 034; Jun Xu 001 (CIKM, 2023)

Reward Imputation with Sketching for Contextual Batched Bandits. - Xiao Zhang 034; Ninglu Shao; Zihua Si; Jun Xu 001; Wenhan Wang; Hanjing Su; Ji-Rong Wen (NeurIPS, 2023)

Uncovering ChatGPT's Capabilities in Recommender Systems. - Sunhao Dai; Ninglu Shao; Haiyuan Zhao; Weijie Yu 003; Zihua Si; Chen Xu 010; Zhongxiang Sun; Xiao Zhang 034; Jun Xu 001 (RecSys, 2023)

When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. - Zihua Si; Zhongxiang Sun; Xiao Zhang 034; Jun Xu 001; Xiaoxue Zang; Yang Song 008; Kun Gai; Ji-Rong Wen (SIGIR, 2023)

Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning. - Zihua Si; Zhongxiang Sun; Jiale Chen; Guozhang Chen; Xiaoxue Zang; Kai Zheng 001; Yang Song 008; Xiao Zhang 034; Jun Xu 001 (CoRR, 2023)

Incorporating Judgment Prediction into Legal Case Retrieval via Law-aware Generative Retrieval. - Weicong Qin; Zelin Cao; Weijie Yu 003; Zihua Si; Sirui Chen; Jun Xu 001 (CoRR, 2023)

Enhancing Recommendation with Search Data in a Causal Learning Manner. - Zihua Si; Zhongxiang Sun; Xiao Zhang 034; Jun Xu 001; Yang Song 008; Xiaoxue Zang; Ji-Rong Wen (ACM Trans. Inf. Syst., 2023)

TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou. - Zihua Si; Lin Guan 005; Zhongxiang Sun; Xiaoxue Zang; Jing Lu; Yiqun Hui; Xingchao Cao; Zeyu Yang; Yichen Zheng; Dewei Leng; Kai Zheng 001; Chenbin Zhang; et al. (CIKM, 2024)

Large Language Models Enhanced Collaborative Filtering. - Zhongxiang Sun; Zihua Si; Xiaoxue Zang; Kai Zheng 001; Yang Song 008; Xiao Zhang 034; Jun Xu 001 (CIKM, 2024)

Generative Retrieval with Semantic Tree-Structured Identifiers and Contrastive Learning. - Zihua Si; Zhongxiang Sun; Jiale Chen; Guozhang Chen; Xiaoxue Zang; Kai Zheng 001; Yang Song 008; Xiao Zhang 034; Jun Xu 001; Kun Gai (SIGIR-AP, 2024)

Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach. - Weicong Qin; Zelin Cao; Weijie Yu 003; Zihua Si; Sirui Chen; Jun Xu 001 (SIGIR, 2024)

UniSAR: Modeling User Transition Behaviors between Search and Recommendation. - Teng Shi; Zihua Si; Jun Xu 001; Xiao Zhang 034; Xiaoxue Zang; Kai Zheng 001; Dewei Leng; Yanan Niu; Yang Song 008 (SIGIR, 2024)

To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process. - Zhongxiang Sun; Zihua Si; Xiao Zhang 034; Xiaoxue Zang; Yang Song 008; Hongteng Xu; Jun Xu 001 (SIGIR, 2024)

LargePiG: Your Large Language Model is Secretly a Pointer Generator. - Zhongxiang Sun; Zihua Si; Xiaoxue Zang; Kai Zheng 001; Yang Song 008; Xiao Zhang 034; Jun Xu 001 (CoRR, 2024)

Explainable Legal Case Matching via Graph Optimal Transport. - Zhongxiang Sun; Weijie Yu 003; Zihua Si; Jun Xu 001; Zhenhua Dong; Xu Chen 017; Hongteng Xu; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2024)

LargePiG for Hallucination-Free Query Generation: Your Large Language Model is Secretly a Pointer Generator. - Zhongxiang Sun; Zihua Si; Xiaoxue Zang; Kai Zheng 001; Yang Song 008; Xiao Zhang 034; Jun Xu 001 (WWW, 2025)