Honglin Chen

PhD student, Computer Science, Stanford University

Joined

July 2019

Names

Honglin Chen (Preferred)

Emails

****@stanford.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Computer Science, Stanford University (stanford.edu)

2019 – Present

Advisors, Relations & Conflicts

PhD Advisor

Dan Yamins

2019 – Present

Expertise

Representation learning

Present

Physical dynamics understanding

Present

3D from single image

2020 – Present

Unsupervised learning

2019 – Present

Segmentation

2019 – Present

Publications

Unified 3D Scene Understanding Through Physical World Modeling
Wanhee Lee, Klemen Kotar, Rahul Mysore Venkatesh, Jared Watrous, Honglin Chen, Khai Loong Aw, Daniel LK Yamins
- ICLR 2026 Poster
- Readers: Everyone
Zero-shot Object Understanding with a Physically Controllable World Model
Rahul Mysore Venkatesh, Klemen Kotar, Lilian Naing Chen, Wanhee Lee, Luca Thomas Wheeler, Seungwoo Kim, Jared Watrous, Gia Ancone, Ashley Xu, Honglin Chen, Daniel Bear, Stefan Stojanov, Daniel LK Yamins
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Understanding Physical Dynamics with Counterfactual World Modeling
Rahul Mysore Venkatesh, Honglin Chen, Kevin Feigelis, Daniel Bear, Khaled Jedoui, Klemen Kotar, Felix Jedidja Binder, Wanhee Lee, Sherry Liu, Kevin A. Smith, Judith E Fan, Daniel LK Yamins
- ECCV
- Readers: Everyone
Unsupervised 3D Scene Representation Learning via Movable Object Inference
Honglin Chen, Wanhee Lee, Hong-Xing Yu, Rahul Mysore Venkatesh, Joshua B. Tenenbaum, Daniel Bear, Jiajun Wu, Daniel LK Yamins
- Accepted by TMLR
- Readers: Everyone
Unifying (Machine) Vision via Counterfactual World Modeling
Daniel M. Bear, Kevin T. Feigelis, Honglin Chen, Wanhee Lee, Rahul Venkatesh, Klemen Kotar, Alex Durango, Daniel L. K. Yamins
- Published: 01 Jan 2023, Last Modified: 10 Dec 2023
- CoRR 2023
- Readers: Everyone
Unsupervised 3D Scene Representation Learning via Movable Object Inference
Honglin Chen, Wanhee Lee, Hong-Xing Yu, Rahul Mysore Venkatesh, Joshua B. Tenenbaum, Daniel Bear, Jiajun Wu, Daniel LK Yamins
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Unsupervised Segmentation in Real-World Images via Spelke Object Inference
Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear
- 2022 (modified: 29 Mar 2023)
- ECCV (29) 2022
- Readers: Everyone
Unsupervised Segmentation in Real-World Images via Spelke Object Inference
Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear
- 2022 (modified: 14 Apr 2023)
- CoRR 2022
- Readers: Everyone
Deep Learning of Neuromuscular and Visuomotor Control of a Biomimetic Simulated Humanoid
Masaki Nakada, Tao Zhou, Honglin Chen, Arjun Lakshmipathy, Demetri Terzopoulos
- Published: 01 Jan 2020, Last Modified: 10 Dec 2023
- IEEE Robotics Autom. Lett. 2020
- Readers: Everyone
Locally-Connected, Irregular Deep Neural Networks for Biomimetic Active Vision in a Simulated Human
Masaki Nakada, Honglin Chen, Arjun Lakshmipathy, Demetri Terzopoulos
- Published: 01 Jan 2020, Last Modified: 10 Dec 2023
- ICPR 2020
- Readers: Everyone

View all 18 publications

Co-Authors

View all 46 co-authors