Short Bio
I am a Ph.D. student at The Chinese University of Hong Kong, under the supervision of Prof. Hong CHENG.
Previously, I received my B.S. and M.S. in Computer Science from Fudan University in 2021 and 2024, respectively, under the supervision of Prof. Yun XIONG.
My research focuses on developing efficient algorithms for Structured Data Analysis and Information Retrieval. I am particularly interested in optimizing how systems organize web contexts and process complex queries in multi-step search scenarios. Prior to my current focus, I conducted research on Graph Learning.
Selected Publications
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Repurposing Synthetic Data for Fine-grained Search Agent Supervision
Yida Zhao, Kuan Li, Xixi Wu, Liwen Zhang, Dingchu Zhang, Baixuan Li, Maojia Song, Zhuo Chen, Chenxi Wang, Xinyu Wang, Kewei Tu, Pengjun Xie, Jingren Zhou, and Yong Jiang
To appear, Proceedings of the International Conference on Learning Representations (ICLR), 2026
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MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval
Xixi Wu, Yanchao Tan, Nan Hou, Ruiyang Zhang, and Hong Cheng
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
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When Do LLMs Help With Node Classification? A Comprehensive Analysis
Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, and Hong Cheng
Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025
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Can Graph Learning Improve Planning in LLM-based Agents?
Xixi Wu*, Yifei Shen*, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, and Dongsheng Li
Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS), 2024
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ProCom: A Few-shot Targeted Community Detection Algorithm
Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, and Jiawei Zhang
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024
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ConsRec: Learning Consensus Behind Interactions for Group Recommendation
Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, and Philip S. Yu
Proceedings of the ACM Web Conference (WWW), 2023
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CLARE: A Semi-supervised Community Detection Algorithm
Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, and Philip S. Yu
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022
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DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning
Yingying Wang, Yun Xiong, Xixi Wu, Xiangguo Sun, Jiawei Zhang, and Guangyong Zheng
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024
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Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling
Siwei Zhang, Xi Chen, Yun Xiong, Xixi Wu, Yao Zhang, Yongrui Fu, Yinglong Zhao, and Jiawei Zhang
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024
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Dual Intents Graph Modeling for User-centric Group Discovery
Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, and Jiawei Zhang
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM), 2023
Experience
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Microsoft Research Asia
Research Intern Feb. 2024 - Jun. 2024
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Alibaba Group
Research Intern@Tongyi Lab Jun. 2025 - Oct. 2025
Selected Awards
- ACM Web Conference Student Travel Award 2023
- Second Class Scholarship for Outstanding Student, Fudan University 2018 & 2021
- Second Prize of Undergraduate Mathematical Contest in Modeling, Shanghai, China (CUMCM) 2019
- First Prize in National Olympiad in Mathematics in Provinces, Jiangsu, China 2016
Professional Services
- Conference Reviewer: NeurIPS'2024 (Top Reviewer Award🏆) - 2025, ICLR'2025 - 2026, ICML'2025 - 2026, WWW'2024 Graph Foundation Model (GFM) Workshop, SIGKDD'2024 - 2025, AAAI 2026
- Journal Reviewer: IEEE Transactions on Knowledge and Data Engineering (TKDE), Transactions on Machine Learning Research (TMLR)
Miscellaneous
- I love sports like swimming 🏊 and running 🏃. I also enjoy cooking Chinese food 🤣
- During my undergraduate studies, I was interested in mobile app development (You can find all the source codes on my GitHub):
Lose Weight, a Fluter App
Hulv, a Mini-Program
Chatroom, a Desktop App
- I enjoy exploring the unknown and strive to keep moving forward on this path of discovery and learning ✨
