Liang-Chieh (Jay) Chen- Home Page

jay photo 

Liang-Chieh Chen
Research Scientist and Manager, TikTok, Los Angeles

Email: lcchen at cs dot ucla dot edu

[google-scholar]

About Me

I am currently a Research Scientist and Manager at TikTok with a focus on Computer Vision and Deep Learning.

I am widely recognized for my contributions to the DeepLab series (co-developed with George Papandreou): DeepLabv1, DeepLabv2, DeepLabv3, DeepLabv3+. Since December 2014, our introduced atrous convolution (also known as convolution with holes or dilated convolution) has become a foundational technique for dense prediction tasks.

Influential DeepLab derivatives include Auto-DeepLab, Panoptic-DeepLab (winning method of the Mapillary Vistas Panoptic Segmentation track at ICCV 2019, and top performer on Cityscapes leaderboards), Axial-DeepLab, ViP-DeepLab, MaX-DeepLab, and kMaX-DeepLab. Additionally, I am known for my collaborative work on MobileNetv2 and MobileNetv3, which have set new standards in efficient neural network design and search for mobile devices.

Prior to joining TikTok, I spent seven years as a Research Scientist at Google Research in Los Angeles (2016–2023). I earned my Ph.D. in Computer Science from the University of California, Los Angeles, in 2015, advised by Alan L. Yuille. I received my M.S. in Electrical and Computer Engineering from the University of Michigan, Ann Arbor.

Activities

  • Area Chair for ICCV 2019, 2025, CVPR 2020, 2023, 2024, 2025, ECCV 2020, 2024, NeurIPS 2022, 2024.

  • Action Editor for TMLR.

Selected Recent Publications

RAR 

Randomized Autoregressive Visual Generation
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
Technical report
[preprint (arxiv: 2411.00776)] [project website] [code]

MaskBit 

MaskBit: Embedding-free Image Generation via Bit Tokens
Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
Transactions on Machine Learning Research (TMLR), December 2024. (Featured and Reproducibility Certifications)
[preprint (arxiv: 2409.16211)] [project website] [code]

DiMR 

Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models
Qihao Liu*, Zhanpeng Zeng*, Ju He*, Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
(*equal contribution)
In Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2024.
[preprint (arxiv: 2406.09416)] [project website] [code]

titok 

An Image is Worth 32 Tokens for Reconstruction and Generation
Qihang Yu*, Mark Weber*, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
(*equal contribution)
In Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2024.
[preprint (arxiv: 2406.07550)] [project website] [code]