Dacheng Wen

Dacheng Wen

The University of Hong Kong

Welcome!

I am currently pursuing my Ph.D. degree with the Department of Computer Science at The University of Hong Kong, supervised by Dr. Yupeng Li (HKBU) and Prof. Francis C.M. Lau.

My research interests include robust machine learning and online algorithms (including learning-augmented online algorithms).

If you are interested in my works or looking for some discussions, please let me know by email at any time.

🔥 News

đź“ť Publications

† denotes the sole corresponding author, * denotes equal contribution.

  • INFOCOM’26 Dacheng Wen, Yupeng Li, Francis C.M. Lau, Tian Wang, and Yang Chen, “Near-Optimal Online Learning with Non-Stochastic and Unbounded Erroneous Feedback”, IEEE International Conference on Computer Communications, 2026.

  • ToN'26 Yupeng Li, Mengjia Xia, Dacheng Wen†, Francis C.M. Lau, Shunbo Lei, Zhaocheng Huang, and Qun (Tracy) Li, “Robust Decentralized Online Learning against Targeted and Untargeted Malicious Data Feature Manipulation”, to appear, IEEE/ACM Transactions on Networking.

  • AAAI'26 Haorui He, Yupeng Li, Bin Benjamin Zhu, Dacheng Wen, Reynold C.K. Cheng, and Francis C.M. Lau, “Fact2Fiction: Targeted Poisoning Attack to Agentic Fact-checking Systems”, AAAI Conference on Artificial Intelligence, 2026. (Oral)

  • WWW'26 Haorui He, Yupeng Li, Dacheng Wen, Yang Chen, Reynold C.K. Cheng, Donglong Chen, and Francis C.M. Lau, “Debating truth: Debate-driven claim verification with multiple large language model agents”, ACM The Web Conference, 2026.

  • TMC'25 Yupeng Li, Dacheng Wen†, Mengjia Xia, Mingzhe Chen, and Xiaoming Fu, “Robust Decentralized Online Learning against Targeted and Untargeted Malicious Data Feature Manipulation”, to appear, IEEE Transactions on Mobile Computing.

  • INFOCOM’24 Dacheng Wen, Yupeng Li, and Francis C.M. Lau, “Augment Online Linear Optimization with Arbitrarily Bad Machine-Learned Predictions”, IEEE International Conference on Computer Communications, 2024.

  • ICDCS'24 Dacheng Wen, Yupeng Li, Xiaoxi Zhang, and Francis C.M. Lau, “Robust Decentralized Online Optimization against Malicious Agents”, IEEE International Conference on Distributed Computing Systems, 2024.

  • ICDCS'24 Dacheng Wen, Yupeng Li, and Francis C.M. Lau, “Augment Decentralized Online Convex Optimization with Arbitrarily Bad Machine-Learned Predictions”, IEEE International Conference on Distributed Computing Systems, 2024. (PhD Symposium)

  • WWW’24 Yupeng Li, Haorui He, Jin Bai, and Dacheng Wen, “MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detection”, ACM The Web Conference, 2024.

  • WWW’24 Yifeng Luo, Yupeng Li, Dacheng Wen, and Liang Lan, “Message Injection Attack on Rumor Detection Under the Black-Box Evasion setting Using Large Language Model”, ACM The Web Conference, 2024.

  • T-ITS'24 Dacheng Wen, Yupeng Li, and Francis C.M. Lau, “A Survey of Machine Learning-Based Ride-Hailing Planning”, IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 6, pp. 4734-4753, 2024.

  • Network'23 Dacheng Wen*, Yupeng Li*, and Francis C.M. Lau, “Byzantine-Resilient Online Federated Learning with Applications to Network Traffic Classification”, IEEE Network, vol. 37, no. 4, pp. 145-152, 2023.

  • ICDM’23 Yupeng Li, Dacheng Wen†, Haorui He, Jianxiong Guo, Xuan Ning, and Francis C.M. Lau, “Contextual Target-Specific Stance Detection on Twitter: Dataset and Method”, IEEE International Conference on Data Mining, 2023.

  • SECON’23 Yupeng Li, Dacheng Wen, and Mengjia Xia, “Robust Decentralized Online Learning against Malicious Data Generators and Dynamic Feedback Delays with Application to Traffic Classification”, IEEE International Conference on Sensing, Communication, and Networking, 2023.

đź’» Internships

  • 2025.06 - 2026.04, Research Intern, Social Computing Group, Microsoft Research Asia, Beijing, China; Mentor: Dr. Fangzhao Wu.
    • Received the Award of Excellence in Stars of Tomorrow Internship Program

  • 2019.06 - 2019.08, Intern of Algorithmic Engineer, Department of Trading Engine Technology, DiDi Chuxing, Beijing, China.

  • 2018.12 - 2019.05, Research Assistant, Shenzhen Research Institute of Big Data, Shenzhen, China; Mentor: Dr. Yupeng Li.

  • 2018.07 - 2018.08, Summer Research Internship Programme, Department of Computer Science, The University of Hong Kong, Hong Kong; Mentor: Prof. Francis C.M. Lau.

đź“– Educations

  • 2019.09 - 2020.12: Master of Science in Computer Science (Stream: Financial Computing), Department of Computer Science, The University of Hong Kong, Hong Kong.

  • 2015.09 - 2019.06: Bachelor of Engineering (Major: Computer Science and Technology), College of Information Science and Technology, Jinan University, Guangzhou.