Austin T. Wang

Research in: Computer Vision (2D and 3D), Natural Language Processing, Scene Understanding and Generation, Health and Biological Applications

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Affiliation

Ph.D. Student in the School of Computing Science at Simon Fraser University.

Contact

atw7@sfu.ca

CV

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Austin Wang is a Ph.D. student at Simon Fraser University, advised by Angel X. Chang. His research interests include computer vision and natural language, including scene understanding and generation, and applications of AI to health. Previously, he worked as a senior machine learning engineer applying computer vision to healthcare, including developing and deploying models to solve ML problems in gastroenterology as well as leading technical projects.

Recent news: ViGiL3D accepted to ACL 2025 -- poster session on July 28 (11 AM) | CLIBD presented at ICLR 2025

Education

  • Ph.D. in Computing Science at Simon Fraser University (ongoing).
  • MEng in Electrical Engineering and Computer Science at Massachusetts Institute of Technology (2020).
  • BS in Computer Science and Engineering at Massachusetts Institute of Technology (2020).

Work Experience

  • Senior Machine Learning Engineer. Iterative Health (May 2019 - August 2023). Developed image- and video-based computer vision models for endoscopy data toward detection of colorectal cancer and inflammatory bowel disease (IBD).

Blog Posts

Other Interests

FIRST robotics | volleyball | music | cooking | biblical studies

Peer-Reviewed Publications

  • Austin T. Wang, ZeMing Gong, Angel X. Chang. "ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding", ACL, 2025. arxiv | code | project | data
  • ZeMing Gong, Austin T. Wang, Joakim Bruslund Haurum, Scott C. Lowe, Graham W. Taylor, Angel X. Chang. "CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale", ICLR, 2025. arxiv | code | project
  • Hou In Ivan Tam, Hou In Derek Pun, Austin T. Wang, Angel X. Chang, Manolis Savva. "SceneMotifCoder: Example-driven Visual Program Learning for Generating 3D Object Arrangements", 3DV, 2025. arxiv | code | project
  • Zahra Gharaee, Scott C. Lowe, ZeMing Gong, Pablo Millan Arias, Nicholas Pellegrino, Austin T. Wang, Joakim Bruslund Haurum, Iuliia Zarubiieva, Lila Kari, Dirk Steinke, Graham W. Taylor, Paul Fieguth, Angel X. Chang. "BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity", NeurIPS, 2024. arxiv | code | project | data | browser

Workshop Publications

  • Pablo Millan Arias, Niousha Sadjadi, Monireh Safari, ZeMing Gong, Austin T. Wang, Scott C. Lowe, Joakim Bruslund Haurum, Iuliia Zarubiieva, Dirk Steinke, Lila Kari, Angel X. Chang, Graham W. Taylor. "BarcodeBERT: Transformers for Biodiversity Analysis", Self-Supervised Learning: Theory and Practice @ NeurIPS 2023, 2023. arxiv | code | project

Other Publications

  • Hou In Ivan Tam, Hou In Derek Pun, Austin T. Wang, Angel X. Chang, Manolis Savva. "SceneEval: Evaluating semantic coherence in text-conditioned 3D indoor scene synthesis", arXiv preprint, 2025. arxiv | code | data | project
  • Hou In Derek Pun, Hou In Ivan Tam, Austin T. Wang, Angel X. Chang, Manolis Savva. "HSM: Hierarchical Scene Motifs for Multi-Scale Indoor Scene Generation", arXiv preprint, 2025. arxiv | code | project
  • Austin T. Wang, Amit Ranade, Dennis Freeman. "Real-time computer-aided polyp detection and localization for clinical applications", MEng Thesis @ MIT, 2020. thesis

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