思子华 | 中国人民大学

个人简介

他是中国人民大学, 高瓴人工智能学院的一名研究生。他于2020年5月加入了大数据管理与分析方法研究北京市重点实验室，师从徐君教授。

教育背景

2018 - 2022: 中国人民大学信息学院学士

2022 - 现在（预计2025）: 中国人民大学高瓴人工智能学院硕士

研究兴趣

推荐系统

他的研究兴趣主要集中在推荐系统，包括如何利用搜索数据来增强推荐系统以及如何利用生成式模型构建推荐系统。

学术论文

LargePiG: Your Large Language Model is Secretly a Pointer Generator
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang and Jun Xu
The Web Conference. (WWW 2025). (CCF A).
[Code] [PDF]
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
Zihua Si, Lin Guan, Zhongxiang Sun, Xiaoxue Zang, Jing Lu, Yiqun Hui, Xingchao Cao, Zeyu Yang, Yichen Zheng, Dewei Leng, Kai Zheng, Chenbin Zhang, Yanan Niu, Yang Song and Kun Gai
The ACM Conference on Information and Knowledge Management. (CIKM 2024). (CCF B).
[PDF]
Generative Retrieval with Semantic Tree-Structured Identifiers and Contrastive Learning
Zihua Si, Zhongxiang Sun, Jiale Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu and Kun Gai
The ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region. (SIGIR-AP 2024). (Best Paper Award).
[Code] [PDF]
Large Language Models Enhanced Collaborative Filtering
Zhongxiang Sun*, Zihua Si*, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang and Jun Xu (* denotes equal contribution)
The ACM Conference on Information and Knowledge Management. (CIKM 2024). (CCF B).
[Code] [PDF]
To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process
Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu and Jun Xu
The ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2024). (CCF A).
[Code] [PDF]
UniSAR: Modeling User Transition Behaviors between Search and Recommendation
Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu and Yang Song
The ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2024). (CCF A).
[Code] [PDF]
Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach
Weicong Qin, Zelin Cao, Weijie Yu, Zihua Si, Sirui Chen and Jun Xu
The ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2024). (CCF A).
[Code] [PDF]
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen
The ACM SIGIR Conference. (SIGIR 2023). (CCF A).
[Code] [PDF]
KuaiSAR: A Unified Search And Recommendation Dataset
Zhongxiang Sun*, Zihua Si*, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu (* denotes equal contribution)
The ACM Conference on Information and Knowledge Management. (CIKM 2023). (CCF B).
[Code] [PDF]
Reward Imputation with Sketching for Contextual Batched Bandits
Xiao Zhang, Ninglu Shao*, Zihua Si*, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen (* denotes equal contribution)
The Conference on Neural Information Processing Systems. (NeurIPS 2023). (CCF A).
[Code] [PDF]
Explainable Legal Case Matching via Graph Optimal Transport
Zhongxiang Sun, Weijie Yu, Zihua Si, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen
IEEE Transactions on Knowledge and Data Engineering. (TKDE 2023). (CCF A).
[Code] [PDF]
Uncovering ChatGPT’s Capabilities in Recommender Systems
Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu
The ACM Conference on Recommender Systems. (RecSys 2023). (CCF B).
[Code] [PDF]
Enhancing Recommendation with Search Data in a Causal Learning Manner
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang, Ji-Rong Wen
ACM Transactions on Information Systems. Vol. 41, No. 4. (TOIS 2023). (CCF A).
[Code] [PDF]
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data
Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen
The Web Conference. (WWW 2022). (CCF A).
[Code] [PDF]