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Computer Science, Ph.D. Student |
I am a Ph.D. student at The University of Hong Kong, majoring in Computer Science.
Previously,
I received my Master's degree in Computer Technology from Tsinghua University in 2024 and obtained my B.Eng degree in Software Engineering from Xidian University in 2021.
I was a research intern supervised by Jieming Zhu and at Tencent mentored by Junwei Pan and Ximei Wang. I was also a founder member of Deep Research Team at
Tongyi Lab.
My research directions are Data Mining and Deep Research Agent.
Tongyi-DeepResearch
Core Contributor, DeepResearch Team, Tongyi Lab
[📄 Paper]
[📰 Blog]
[🤗 HuggingFace]
[ ModelScope]
[ GitHub]
Scaling Agents via Continual Pre-training
, Zhen Zhang*, Guangyu Li*, Zhuo Chen*, Chenxi Wang*, Maojia Song, Xinyu Wang, et al.
ICLR 2026. [📄 Paper]
[📰 VentureBeat]
Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis
Xuanzhong Chen, Zile Qiao, Guoxin Chen, , Zhen Zhang, Xinyu Wang, et al.
ICLR 2026. [📄 Paper]
AgentFold: Long-Horizon Web Agents with Proactive Context Folding
Rui Ye, Zhongwang Zhang, Kuan Li, Huifeng Yin, Zhengwei Tao, Yida Zhao, , et al.
ICLR 2026. [📄 Paper]
R1-Fuzz: Specializing Language Models for Textual Fuzzing via Reinforcement Learning
Jiayi Lin, , Junzhe Li, Chenxiong Qian.
IEEE Symposium on Security and Privacy (IEEE S&P) 2026. [📄 Paper]
[ GitHub]
[🤗 HuggingFace]
ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation
Kai Ye, , Chenxiong Qian.
ACM CCS 2025. [📄 Paper] [🏠 Homepage]
How Far Are We from True Unlearnability?
Kai Ye*, , Chenxiong Qian.
ICLR 2025. [📄 Paper]
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
, Junwei Pan*, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang.
AAAI 2024. [📄 Paper] [ GitHub]
Towards General Agentic Intelligence via Environment Scaling
Runnan Fang, Shihao Cai, Baixuan Li, Jialong Wu, Guangyu Li, Wenbiao Yin, Xinyu Wang, Xiaobin Wang,
, Zhen Zhang, et al.
Arxiv 2025. [📄 Paper]
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
Ling-Hao Chen, Yuanshuo Zhang, Taohua Huang, , Zeyi Lin, Xi Xiao, Xiaobo Xia, Tongliang Liu.
CIKM 2024. [📄 Paper] [🏠 Homepage] [ GitHub]
Invisibility Cloak: Proactive Defense Against Visual Game Cheating
Chenxin Sun, Kai Ye, , Jiayi Zhang, and Chenxiong Qian.
USENIX Security 2024. [📄 Paper] [🏠 Homepage]
A Survey of Generative Techniques for Spatial-Temporal Data Mining
Qianru Zhang, Haixin Wang, Cheng Long, , Xingwei He, Jianlong Chang, Tailin Wu, Hongzhi Yin, Siu-Ming Yiu, Qi Tian and Christian S. Jensen.
Preprint. [📄 Paper]
Multi-interest Learning for Multi-modal Paper Recommendation
Xiaoteng Shen*, , Xi Xiao, Yi Li
ICASSP 2024. [📄 Paper]
Beyond Two-Tower Matching: Learning Sparse Retrievable Interaction Models for Recommendation
, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong and Ruiming Tang.
SIGIR 2023. [📄 Paper]
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
Kelong Mao, Jieming Zhu, , Guohao Cai, Yuru Li, Zhenhua Dong.
AAAI 2023. [📄 Paper] [ GitHub]
BARS: Towards Open Benchmarking for Recommender Systems
Jieming Zhu, Quanyu Dai, , Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang.
SIGIR 2022. [📄 Paper] [ GitHub] [🏠 Homepage]
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation
Yi Li, Jieming Zhu, Weiwen Liu, , Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He.
WWW 2022. [📄 Paper]