Zihua Si

About Me

He is currently a postgraduate student at Gaoling School of Artificial Intelligence, Renmin University of China. He joined the Beijing Key Laboratory of Big Data Management and Analysis Methods (BDAI) in May 2020 and was supervised by Prof. Jun Xu.

Education Background

2018 ~ 2022: B.E. in School of Information, Renmin University of China.

2022 ~ Now (Expected 2025): M.E. in Gaoling School of Artificial Intelligence, Renmin University of China.

Research Interests

Recommender System

• His research interests mainly focus on recommender systems, especially on how to leverage search data for recommendation as well as how to facilitate recommendation with generative models.

Publications

• 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).
  [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).
  [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).
  [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 on Research and Development in Information Retrieval. (SIGIR 2023).
  [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).
  [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).
  [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).
  [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).
  [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).
  [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).
  [Code] [PDF]

Work Experience

• Kuaishou: Intern
  • Mar. 2024 ~ Now
  • Search Group
  • Role: Modeling user interests for query recommendation
  • Advisor: Xiaoxue Zang

Social Service

• PC Member: CIKM 2023, SIGIR 2024, CIKM 2024
• Reviewer (including sub-reviewer): KDD 2022, CIKM 2023, CCIR 2023, WWW 2024, SIGIR 2024
• Volunteer: SIGIR-AP 2023

Powered by Jekyll and Minimal Light theme.