Zhongxiang Sun

He is currently a Ph.D. student at Gaoling School of Artificial Intelligence, Renmin University of China. His supervisor is Prof. Jun Xu. His major research interests are Trustworthy LLMs for IR (Hallucination, Reasoning, Explainable), Recommender Systems, Search, Legal AI, etc.

Education

08.2022-present Ph.D. candidate, Gaoling School of Artificial Intelligence, Renmin University of China.
08.2018-06.2022 Bachelor of Computer Science and Technology, Beijing Jiaotong University.

Pre-Print

Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu, Xiao Zhang, Weijie Yu, Han Li. ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability paper
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu. LargePiG: Your Large Language Model is Secretly a Pointer Generator paper

Publications

Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang and Jun Xu. Large Language Models Enhanced Collaborative Filtering (CIKM 2024) paper
Zihua Si, Lin Guan, Zhongxiang Sun, Xiaoxue Zang, etc. Twin v2: Scaling ultra-long user behavior sequence modeling for enhanced ctr prediction at kuaishou (CIKM 2024 ADS)
ZhongXiang Sun, Kepu Zhang*, Haoyu Wang, Xiao Zhang, Jun Xu Effective In-Context Example Selection through Data Compression (ACL 2024 short finding) paper
Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu and Jun Xu. To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process (SIGIR 2024) paper
Zhongxiang Sun, Kepu Zhang, Weijie Yu, Haoyu Wang, Jun Xu. Logic Rules as Explanations for Legal Case Retrieval (COLING 2024)
Zhongxiang Sun, Weijie Yu, Zihua Si, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen. Explainable Legal Case Matching via Graph Optimal Transport (TKDE 2023) paper
Zhongxiang Sun, Zihua Si*, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu. KuaiSAR: A Unified Search And Recommendation Dataset (CIKM 2023)
Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu. Uncovering ChatGPT’s Capabilities in Recommender Systems (RecSys 2023)
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen. When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. (SIGIR 2023)
Z Sun, J Xu, X Zhang, Z Dong, JR Wen. Law Article-Enhanced Legal Case Matching: a Causal Learning Approach. (SIGIR 2023)
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang, Ji-Rong Wen. Enhancing Recommendation with Search Data in a Causal Learning Manner. (TOIS 2023)
Haomin Wen, Youfang Lin, Fan Wu, Huaiyu Wan, Zhongxiang Sun, Tianyue Cai, Hongyu Liu, Shengnan Guo, Jianbing Zheng, Chao Song, Lixia Wu. Enough Waiting for the Couriers — Learning to Estimate Package Pick-up Arrival Time from Couriers’ Spatial-Temporal Behaviors.(TIST 2022)
G Song, J Yang, L He, Z Wang, G Li, C Duan, Y Liu, Z Sun. AddrMiner: A Comprehensive Global Active IPv6 Address Discovery System. (USENIX ATC 22)
W Yu, Z Sun, J Xu, Z Dong, X Chen, H Xu, JR Wen. Explainable legal case matching via inverse optimal transport-based rationale extraction. (SIGIR 2022).

Awards

The National Scholarship 2024 (The highest scholarship for students in China)
Renmin University of China Innovative Talent Program

Teaching

Teaching Assistant, Introduction to Big Data Analytics in RUC, Fall 2022, 2023
Teaching Assistant, Python in RUC, Spring 2023

Work Experience

Kuaishou: Research Intern
- February. 2022 ~ Now
- Model and Application Group
- Research Directions: Recommender Systems with Search Data
- Advisor: Xiaoxue Zang
CAIL 2022: Committee Member .
TASLP(CCF B) reviewer.
CIKM 2023(CCF B): PC Member.
ACM TheWebConf 2024 Conference(CCF A): reviewer.
SIGIR 2024(CCF A): reviewer.
CIKM 2024(CCF B): reviewer.

Talk

Renmin University of China’s First ‘Frontiers of Innovation: International Academic Symposium for Doctoral Students’: Accurate and Explainable Legal Case Matching PPT