About

I am a Ph.D. student at the Machine Intelligence and Social Computing (MISC) Lab, Chinese University of Hong Kong, supervised by Prof. Irwin King (ACM Fellow, IEEE Fellow, AAAI Fellow).

I am seeking full-time and internship opportunities in AI research, particularly in large language models and agents. I also welcome research collaborations with undergraduate and graduate students. Please feel free to get in touch!

News

  • 2026 Aug: One paper has been accepted in KDD'26
  • 2026 Jun: One paper has been accepted in CVPR'26
  • 2026 Apr: One paper has been accepted in ICLR'26
  • 2026 Apr: One paper has been accepted in Academia AI and Applications
  • 2026 Jan: One paper has been accepted in TNNLS
  • 2025 Nov: One paper has been accepted in AAAI'26
  • 2025 May: One paper has been accepted in ACL'25
  • 2025 Mar: One paper has been accepted in CVPR'25
  • 2024 Aug: One paper has been accepted in the ICONIP'24
  • 2024 May: One paper has been accepted in the ACL'24
  • 2023 Aug: Start Ph.D. at The Chinese Univeristy of Hong Kong

Publication

Preprints

  • (Under review) False Belief Dissemination, Persistence and Mitigation in Multi-Agent Social Networks Through the Lens of the Mandela Effect [PDF]
    Dianzhi Yu*, Hongru Wang*, Ziheng Xiong, Yanyu Chen, Zixing Song, Jianting Chen, Zhenfei Yin, Jeff Z. Pan, Amos Storkey†, Irwin King†
  • (Under review) Dynamic Mixture of Latent Memories for Self-Evolving Agents [PDF]
    Dianzhi Yu, Vireo Zhang, Hongru Wang, Yanyu Chen, Minda Hu, Wanghan Xu, Siki Chen, Philip Torr, Zhenfei Yin†, Irwin King†

Journals

  • (TNNLS) Recent Advances of Multimodal Continual Learning: A Comprehensive Survey [PDF] [GitHub] [Blog]
    Dianzhi Yu, Xinni Zhang, Yankai Chen, Aiwei Liu, Yifei Zhang, Philip S. Yu, Irwin King
    In IEEE Transactions on Neural Networks and Learning Systems.
  • (Academia AI and Applications'26) Towards Trustworthy Agentic AI: A Comprehensive Survey of Safety, Robustness, Privacy, and System Security [PDF]
    Jinhu Qi, Muzhi Li, Jiahong Liu, Yuqin Shu, Dianzhi Yu, Shicheng Ma, Wenqian Cui, Yiyang Zhao, Yiyi Chen, Ruoxi Jiang, Irwin King, Zenglin Xu
    Academia AI and Applications, 2026.

Conference

  • (AAAI'26) ConSurv: Multimodal Continual Learning for Survival Analysis [PDF] [GitHub]
    Dianzhi Yu, Conghao Xiong, Yankai Chen, Wenqian Cui, Xinni Zhang, Yifei Zhang, Hao Chen, Joseph J.Y. Sung, Irwin King
    In Proceedings of the 40th AAAI Conference on Artificial Intelligence.
  • (KDD'26) LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition [PDF] [GitHub]
    Yanyu Chen*, Jiyue Jiang*, Dianzhi Yu, Zheng Wu, Jiahong Liu, Jiaming Han, Xiao Guo, Jinhu Qi, Yu Li, Yifei Zhang, Irwin King
    In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
  • (CVPR'26) Smart Replay: Adaptive Scheduling of Memory Rehearsal for Computational Resource-Aware Incremental Learning [PDF]
    Jianting Chen, Dianzhi Yu, Irwin King
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
  • (ICLR'26) RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback [PDF] [GitHub]
    Chunyu Miao, Henry Peng Zou*†, Yangning Li*†, Yankai Chen†, Yibo Wang†, Fangxin Wang, Yifan Li, Wooseong Yang, Bowei He, Xinni Zhang, Dianzhi Yu, et al., Xue Liu, Irwin King, Philip S. Yu
    In Proceedings of the 14th International Conference on Learning Representations.
  • (CVPR'25) pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation [PDF]
    Yifei Zhang*, Hao Zhu*, Alysa Ziying Tan, Dianzhi Yu, Longtao Huang, Han Yu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
  • (ACL'25) Recent Advances in Speech Language Models: A Survey [PDF] [GitHub]
    Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, Ziqiao Meng, Guangyan Zhang, Qichao Wang, Yiwen Guo, Irwin King
    In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics.
  • (ACL'24) An Entropy-based Text Watermarking Detection Method [PDF] [GitHub]
    Yijian Lu, Aiwei Liu, Dianzhi Yu, Jingjing Li, Irwin King
    In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics.
  • (ICONIP'24) Video Piracy Websites Detection using Continual Learning with Elastic Weight Consolidation [PDF] [GitHub] [URL]
    Dianzhi Yu, Wentao Zhang, Zenglin Xu, Irwin King
    In Neural Information Processing: 31st International Conference, ICONIP 2024, Proceedings.

* Equal contribution. † Corresponding authors.

Tutorial

  • (IJCNN'25) Advances in Multimodal Models: Continual Learning and Trustworthiness [Website]
    Dianzhi Yu, Xinni Zhang, Guanzhong Chen, Zhuo Wang, Yukun Zhang, Zenglin Xu, Irwin King
    International Joint Conference on Neural Networks (IJCNN 2025), Rome, Italy, June 2025.
    Lead organizer and presenter.

Tools

  • PPT Crop for Papers [GitHub]
    A macOS workflow to export PowerPoint figures as cropped PDFs and sync them to Google Drive for use in Overleaf.
  • Day One to Obsidian [GitHub]
    Convert Day One JSON exports into individual Obsidian notes, preserving media, dates, tags, weather, and location metadata. Supports photos, audio, video, and PDF attachments.

Experience

  • 2021.07 - 2023.06, Engineer-application-development (P6, Full-Time), Ant Group, Alibaba Group, Hangzhou, China.

Teaching

At CUHK, I work as a teaching assistant for the following undergraduate and graduate courses:
  • CSCI2100A/ESTR2102: Data Structures (Head TA), Spring 2025
  • AIST5020: Trustworthy AI (Graduated-Level Course), Autumn 2024
  • CSCI2100A/ESTR2102: Data Structures, Spring 2024
  • CSCI2100A: Data Structures, Autumn 2023