publications

A collection of my research publications and preprints in AI4Science, neuroscience, and cognitive science.

2026

  1. AAAI 2026 [Oral]
    CycleChemist: A Dual-Pronged Machine Learning Framework for Organic Photovoltaic Discovery
    Hou Hei Lam*, Jiangjie Qiu*, Xiuyuan Hu, and 5 more authors
    In Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI), 2026

2025

  1. NeurIPS 2025
    Local Predictions, Global Learning: Radial Basis Function Networks for Spatially-Aware Predictive Coding
    Hou Hei Lam
    In Workshop on Symmetry and Geometry in Neural Representations, NeurIPS 2025, 2025
    The Thirty-ninth Annual Conference on Neural Information Processing Systems
  2. NeurIPS 2025
    ValuePilot: A Two-Phase Framework for Value-Driven Decision-Making
    Yitong Luo, Ziang Chen, Hou Hei Lam, and 4 more authors
    In Workshop on Bridging Language, Agent, and World Models for Reasoning and Planning, NeurIPS 2025, 2025
    The Thirty-ninth Annual Conference on Neural Information Processing Systems
  3. arXiv
    FML-bench: A Benchmark for Automatic ML Research Agents Highlighting the Importance of Exploration Breadth
    Qiran Zou*, Hou Hei Lam*, Wenhao Zhao, and 7 more authors
    arXiv preprint arXiv:2510.10472, 2025
  4. ICLR 2025
    Accelerating High-Efficiency Organic Photovoltaic Discovery via Pretrained Graph Neural Networks and Generative Reinforcement Learning
    Jiangjie Qiu, Hou Hei Lam, Xiuyuan Hu, and 5 more authors
    In AI for Accelerated Materials Discovery (AI4Mat) Workshop, ICLR 2025, 2025
    The Thirteenth International Conference on Learning Representations
  5. arXiv
    ValuePilot: A Two-Phase Framework for Value-Driven Decision-Making
    Yitong Luo, Hou Hei Lam, Ziang Chen, and 2 more authors
    arXiv preprint arXiv:2503.04569, 2025