publications

Papers and preprints, newest first.

Also listed on Google Scholar.

2026

  1. Agents’ Last Exam
    Yiyou Sun, Xinyang Han, Weichen Zhang, Yuanbo Pang, Tianyu Wang, and 305 more authors
    In Advances in Neural Information Processing Systems (NeurIPS), Dec 2026
  2. Harness the Memory: A Holistic Evaluation of Memory Substrates in Memory Agents
    Wei-Chieh Huang, Weizhi Zhang, Yuchen Wu, Yankai Chen, Eric Hanchen Jiang, and 10 more authors
    In Advances in Neural Information Processing Systems (NeurIPS), Dec 2026
    Evaluations and Datasets Track
  3. When Seeing Overrides Knowing: Visual Dominance and Deferral-Based Method for Personalized Safety in VLMs
    Edward Sun, Yuchen Wu, Zixian Ma, Eric Hanchen Jiang, Yijia Xiao, and 5 more authors
    In Conference on Language Modeling (COLM), Oct 2026
  4. Agent Q-Mix: Selecting the Right Action for LLM Multi-Agent Systems through Reinforcement Learning
    Eric Hanchen Jiang, Levina Li, Rui Sun, Xiao Liang, Yubei Li, and 7 more authors
    In Conference on Language Modeling (COLM), Oct 2026
  5. Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models
    Eric Hanchen Jiang, Mengting Li, Guancheng Wan, Sophia Yin, Yuchen Wu, and 6 more authors
    In Annual Meeting of the Association for Computational Linguistics (ACL), Jul 2026
  6. Spurious Tool Use: When RL Agents Learn the Wrong Reason to Act
    Yiwei Yang, Haoxiang Zhang, Bingbing Wen, Yao Lu, Yuchen Wu, and 4 more authors
    arXiv:2609.16268, Sep 2026
  7. Evaluating the Hidden Costs of Personalization in Large Language Models
    Yumeng Wang, Yuchen Wu, Cheng Qian, Zhiyuan Fan, Hyeonjeong Ha, and 4 more authors
    arXiv:2608.28833, Aug 2026
  8. Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents
    Eric Hanchen Jiang, Zhi Zhang, Yuchen Wu, Levina Li, Dong Liu, and 9 more authors
    arXiv:2607.13591, Jul 2026

2025

  1. Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach
    Yuchen Wu, Edward Sun, Kaijie Zhu, Jianxun Lian, Jose Hernandez-Orallo, and 2 more authors
    In Advances in Neural Information Processing Systems (NeurIPS), Dec 2025
  2. Beyond One-Way Influence: Bidirectional Opinion Dynamics in Multi-Turn Human-LLM Interactions
    Yuyang Jiang, Longjie Guo, Yuchen Wu, Aylin Caliskan, Tanu Mitra, and 1 more author
    arXiv:2510.20039, Oct 2025
  3. Humanity’s Last Exam
    Long Phan, Alice Gatti, Ziwen Han, Nathaniel Li, Josephina Hu, and 1153 more authors
    arXiv:2501.14249, Jan 2025
  4. GeoGail: A Model-Based Imitation Learning Framework for Human Trajectory Synthesizing
    Yuchen Wu, Huandong Wang, Changzheng Gao, Depeng Jin, and Yong Li
    ACM Transactions on Knowledge Discovery from Data (TKDD), Jan 2025

2024

  1. Synthesizing Human Trajectories Based on Variational Point Processes
    Huandong Wang, Qizhong Zhang, Yuchen Wu, Depeng Jin, Xing Wang, and 2 more authors
    IEEE Transactions on Knowledge and Data Engineering (TKDE), Jan 2024

2023

  1. PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning
    Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, and 1 more author
    In AAAI Conference on Artificial Intelligence (AAAI), Jun 2023

2022

  1. Zoom Out: Abstractions for Efficient Radar Algorithms on COTS architectures
    Tze Meng Low, Yuejie Chi, James Hoe, Swarun Kumar, Akarsh Prabhakara, and 5 more authors
    In IEEE International Symposium on Phased Array Systems & Technology (PAST), Jun 2022

2019

  1. Attention Guided Unsupervised Image-to-Image Translation with Progressively Growing Strategy
    Yuchen Wu, Runtong Zhang, and Keiji Yanai
    In Asian Conference on Pattern Recognition (ACPR), Jun 2019
  2. Pre-trained and Shared Encoder in Cycle-Consistent Adversarial Networks to Improve Image Quality
    Runtong Zhang, Yuchen Wu, and Keiji Yanai
    In Asian Conference on Pattern Recognition (ACPR), Jun 2019