HKU IDS Scholar
Professor Andrew LUO
Assistant Professor
HKU Musketeers Foundation Institute of Data Science and
Department of Psychology
Department of Psychology
Key Expertise
Generative Modeling, Visual Reasoning, Scene Representations
About Me
Dr. Andrew Luo is an Assistant Professor at the Institute of Data Science (IDS) and the Department of Psychology at The University of Hong Kong. Dr. Luo obtained his PhD from Carnegie Mellon University in the joint program in Neural Computation & Machine Learning, advised by Prof. Michael J. Tarr and Prof. Leila Wehbe. Previously he obtained his Bachelor of Science from MIT in Computer Science.
Dr. Luo’s research interests lie at the intersection of computer vision, human visual representations, scene learning, and generative models. His research focus is on developing machine learning models that can understand and perceive the world like humans, bridging the gap between cognitive science and artificial intelligence.
Selected Publications
- Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers (in submission)
- DiffusionPID: Interpreting Diffusion via Partial Information Decomposition (NeurIPS 2024)
- Disentangled Acoustic Fields For Multimodal Physical Scene Understanding (IROS 2024)
- BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity (ICLR 2024)
- Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models (NeurIPS 2023 Oral)
- Learning neural acoustic fields (NeurIPS 2022)
- Prototype memory and attention mechanisms for few shot image generation (ICLR 2022)
- SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators (ICCV 2021)
- End-to-End Optimization of Scene Layout (CVPR 2020 Oral)
- Learning to infer and execute 3d shape programs (ICLR 2019)
Research Interests
Vision language models, multimodal scene representations, explainable AI
Seminar
