Angel Xuan Chang
I am an Associate Professor at Simon Fraser University. Prior to this, I was a visiting research scientist at Facebook AI Research and a research scientist at Eloquent Labs working on dialogue. I received my Ph.D. in Computer Science from Stanford, where I was part of the Natural Language Processing Group and advised by Chris Manning. My research focuses on connecting language to 3D representations of shapes and scenes and grounding of language for embodied agents in indoor environments. I have worked on methods for synthesizing 3D scenes and shapes from natural language, and various datasets for 3D scene understanding. In general, I am interested in the semantics of shapes and scenes, the representation and acquisition of common sense knowledge, and reasoning using probabilistic models. My group also works on using machine learning for biodiversity monitoring, specifically with DNA barcodes as part of the larger BIOSCAN project. Some of my other interests include drawing and dance.
Associate Professor
School of Computing Science
Simon Fraser University
3DLG | GrUVi | SFU NatLang
SFU AI/ML | VINCI
Canada CIFAR AI Chair (Amii)
TUM-IAS Hans Fischer Fellow (2018-2022)
Google Scholar
Classes
Service
Conference and workshop organization
Conferences- 3DV 2027 program chair
- AI/CRV 2026 nectar track chair
- CVPR 2023 social activities chair
- SGP 2021 co-chair
- Functionality, Articulation, and Interaction for Modeling and Generating 3D Objects at ECCV 2026
- Embodied Multimodal Reasoning in Physical Environments at ECCV 2026
- AI Meet Autonomy Workshop at IROS 2025
- Human-aware Embodied AI at IROS 2025
- Closing the Loop Between Vision and Language at ICCV 2023, ICCV 2025
- AI for 3D Content Creation at ECCV 2024, ICCV 2025
- Embodied AI Workshop at CVPR 2020, CVPR 2023-2025
- Open-World Agents: Synergizing Reasoning and Decision-Making in Open and Interactive Environments at NeurIPS 2024
- 3D Vision and Modeling Challenges in eCommerce at ICCV 2023, ECCV 2024
- Multimodalities for 3D Scenes Workshop at CVPR 2024
- AI for 3D Generation at CVPR 2024
- Language for 3D Scenes Workshop at CVPR 2021, ECCV 2022, ICCV 2023
- ScanNet Indoor Scene Understanding Challenge at CVPR 2019-2023
- Learning to Generate 3D Shapes and Scenes at CVPR 2021, ECCV 2022
- 3D Vision and Robotics Workshop at CVPR 2021
- Learning 3D Generative Models at CVPR 2020
- 3D Scene Generation Workshop at CVPR 2019
- Visual Learning and Embodied Agents in Simulation Environments workshop at ECCV 2018
Area chair / senior program committee
- ICLR (2020-2021,2023-2026), NeurIPS (2023-2024), NeurIPS datasets and benchmarks (2023-2025)
- CVPR (2020-2021,2023-2025), ICCV (2023,2025), 3DV (2024)
- COLM (2024-2026)
- SIGGRAPH Asia (2020)
- IJCAI (2021), AAAI (2021,2023)
Journal / rolling reviews editor
- ARR action editor
- CGF associate editor (2021-2024)
Reviewer
- ACL (outstanding reviewer 2018), NAACL, EMNLP, EACL, Coling, AKBC, SLSP
- AAAI, ICML (top reviewer 2020,2022), NeurIPS (top reviewer 2020), TMLR
- SIGGRAPH, SIGGRAPH Asia, Eurographics, ECCV, 3DV, UIST, GI, CRV