Zechen Bai 白泽琛

Ph.D. Candidate

Show Lab, National University of Singapore

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Biography

I'm a final-year PhD candidate at Show Lab, National University of Singapore, advised by Prof. Mike Shou.

My research advances multimodal foundation models and digital/embodied agents that perceive, generate, reason about, and interact with the visual world. It spans unified multimodal modeling, post-training, visually grounded reasoning, world models, and agent learning, often through the lens of structured representations

I was recently a Research Scientist Intern at Meta Superintelligence Labs, where I worked on data, evaluation, and post-training for frontier models, including Muse Spark 🥑 and Segment Anything. Previously, I conducted research at AWS AI Labs, ByteDance, and Baidu.

I am currently seeking full-time Research Scientist / Applied Scientist opportunities.

News

All news

Selected Publications (*co-first author)

                                                   
Muse Spark: Scaling Towards Personal Superintelligence.
MSL Team.
2026.

[Blog] [Demo]

Demo2Tutorial: From Human Experience to Multimodal Software Tutorials.
Zechen Bai, Zhiheng Chen, Yiqi Lin, Kevin Qinghong Lin, Difei Gao, Xiangwu Guo, Xin Wang, Mike Zheng Shou
CVPR, 2026.

[Paper] [Code]

World-VLA-Loop: Closed-Loop Learning of Video World Model and VLA Policy.
Xiaokang Liu*, Zechen Bai*, Hai Ci, Kevin Yuchen Ma, Mike Zheng Shou
arXiv preprint, 2026.

[Paper] [Project Page]

VaporTok: RL-Driven Adaptive Video Tokenizer with Prior and Task Awareness.
Minghao Yang*, Zechen Bai*, Jing Lin, Haoqian Wang, Alex Jinpeng Wang
NeurIPS, 2025.

[Paper]

Impossible Videos.
Zechen Bai*, Hai Ci*, Mike Zheng Shou
ICML, 2025.

[Paper] [Homepage] [GitHub] [HuggingFace]
Factorized Visual Tokenization and Generation.
Zechen Bai, Jianxiong Gao, Ziteng Gao, Pichao Wang, Zheng Zhang, Tong He, Mike Zheng Shou
arXiv preprint, 2024.

[Paper] [Code]
Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach.
Zechen Bai, Tianjun Xiao, Tong He, Pichao Wang, Zheng Zhang, Thomas Brox, Mike Zheng Shou
ICLR, 2025.

[Paper]

Show-o: One Single Transformer To Unify Multimodal Understanding and Generation.
Jinheng Xie*, Weijia Mao*, Zechen Bai*, David Junhao Zhang*, Weihao Wang, Kevin Qinghong Lin, Yuchao Gu, Zhijie Chen, Zhenheng Yang, Mike Zheng Shou
ICLR, 2025.

[Paper] [Project Page] [Code]
One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos.
Zechen Bai, Tong He, Haiyang Mei, Pichao Wang, Ziteng Gao, Joya Chen, Lei Liu, Zheng Zhang, Mike Zheng Shou
NeurIPS, 2024.

[Paper] [Code]
Hallucination of Multimodal Large Language Models: A Survey.
Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, Mike Zheng Shou
arXiv preprint, 2024.

[Paper] [Project Page]
Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models.
Zongbo Han, Zechen Bai, Haiyang Mei, Qianli Xu, Changqing Zhang, Mike Zheng Shou
ICLR R2-FM Workshop, 2024.

[Paper]

AssistGUI: Task-Oriented Desktop Graphical User Interface Automation.
Difei Gao, Lei Ji, Zechen Bai, Mingyu Ouyang, Peiran Li, Dongxing Mao, Qinchen Wu, Weichen Zhang, Peiyi Wang, Xiangwu Guo, Hengxu Wang, Luowei Zhou, Mike Zheng Shou
CVPR 2024.

[Paper] [Code] [Project Page]
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number.
Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang.
CVPR 2024.

[Project Page]
Unsupervised Open-Vocabulary Object Localization in Videos.
Ke Fan*, Zechen Bai*, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He
ICCV 2023.
* Equal contribution.

[Paper] [Code]
Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation.
Zechen Bai, Yuta Nakashima, and Noa Garcia.
ICCV 2021.

[Paper] [Code] [Project Page]

Unsupervised Multi-Source Domain Adaptation for Person Re-Identification.
Zechen Bai, Zhigang Wang, Jian Wang, Di Hu, Errui Ding.
CVPR 2021. (Oral)

[Paper][Code]

Show, Recall, and Tell: Image Captioning with Recall Mechanism.
Li Wang*, Zechen Bai*, Yonghua Zhang, Hongtao Lu.
AAAI 2020.

[Paper]

Earlier Research on Virtual Reality

            
Bring Your Own Character: A Holistic Solution for Automatic Facial Animation Generation of Customized Characters.
Zechen Bai, Peng Chen, Xiaolan Peng, Lu Liu, Hui Chen, Mike Zheng Shou, Feng Tian.
IEEE Virtual Reality Conference (VR), 2024.

[Paper] [Code]
A Simple Approach to Animating Virtual Characters by Facial Expressions Reenactment.
Zechen Bai, Naiming Yao, Lu Liu, Hui Chen, Hongan Wang.
IEEE Virtual Reality Conference (VR), 2023.

[Paper]

Enhancing Emotional Experience by Building Emotional Virtual Characters in VR Volleyball Games.
Zechen Bai, Naiming Yao, Nidhi Mishra, Hui Chen, Hongan Wang, Nadia Magnenat Thalmann.
International Conference on Computer Animation and Social Agents (CASA), 2021.

[Paper]

Play with Emotional Characters: Improving User Emotional Experience by A Data-driven Approach in VR Volleyball Games.
Zechen Bai, Naiming Yao, Nidhi Mishra, Hui Chen, Hongan Wang, Nadia Magnenat Thalmann.
IEEE Virtual Reality Conference (VR), 2021.
(Best Poster Award!)

[Paper]

Academic Service

I serve as a reviewer for conferences including CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, and ACM MM, and for journals and transactions including TPAMI, TIP, TCSVT, Neurocomputing, and ACM Computing Surveys.

Selected Awards

Dean's Graduate Research Excellence Award, 2026
PREMIA Best Student Paper Award (Excellence), 2025
NeurIPS Scholar Award, 2024
China National Scholarship, 2021
Best Poster Award at IEEE-VR 2021
Beijing Distinguished Graduate Award, 2019
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© Zechen Bai | Last updated: Aug 2026