Chuang Lin

I am currently a Researcher at ByteDance Seed. I received my Ph.D. degree from Monash University in 2024, where I was supervised by Prof. Jianfei Cai. Previously, I obtained my M.Eng. degree from Harbin Institute of Technology and B.Eng. degree from Jilin University.

I'm broadly interested in computer vision and deep learning. My current research focuses on foundation models for visual generation and interactive world modeling.

Email  /  CV  /  Google Scholar  /  Github

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Project
Waver: Wave Your Way to Lifelike Video Generation
Yifu Zhang, Hao Yang, Yuqi Zhang, Yifei Hu, Fengda Zhu, Chuang Lin, Xiaofeng Mei, Yi Jiang, Bingyue Peng, Zehuan Yuan
An industry-level video foundation model that enables unified Text-to-Video (T2V) and Image-to-Video (I2V) generation.
Ranks in the 🏅Top 3 on both the T2V leaderboard & I2V leaderboard at Artificial Analysis (data up to 2025-08-05 12:00 (GMT+8)).
paper / code

Research
Generative Region-Language Pretraining for Open-Ended Object Detection
Chuang Lin, Yi Jiang, Lizhen Qu, Zehuan Yuan and Jianfei Cai
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2024
paper / bibtex / code

Learning Object-Language Alignments for Open-Vocabulary Object Detection
Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan and Jianfei Cai
International Conference on Learning Representations (ICLR) , 2023
paper / bibtex / code

Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation
Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, and Zehuan Yuan
European Conference on Computer Vision (ECCV) , 2022
paper / bibtex / code

Domain-Invariant Disentangled Network for Generalizable Object Detection
Chuang Lin, Zehuan Yuan, Sicheng Zhao, Peize Sun, Changhu Wang, Jianfei Cai
IEEE International Conference on Computer Vision (ICCV), 2021
paper / bibtex

Multi-source Domain Adaptation for Visual Sentiment Classification
Chuang Lin, Sicheng Zhao, Lei Meng, CHUA Tat Seng
AAAI Conference on Artificial Intelligence (AAAI), 2020
paper / bibtex

CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions , (Oral)
Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Ravi Krishna, Guiguang Ding, Kurt Keutzer
AAAI Conference on Artificial Intelligence (AAAI), 2019
paper / bibtex

Cycle-consistency Based Hierarchical Dense Semantic Correspondence, (Oral)
Chuang Lin, Hongxun Yao, Wei Yu, Xiaoshuai Sun
IEEE International Conference on Image Processing (ICIP), 2018
paper / bibtex

Research Experience
Research Intern
February 2024 - June 2024 | NEC Lab, US
Advisor: Dr. Bingbing Zhuang
Research Intern
March 2020 - May 2023 | ByteDance, China
Advisor: Yi Jiang and Dr. Zehuan Yuan
Research Intern
July 2019 - February 2020 | NUS-Tsinghua Extreme Search Center (NExT), National University of Singapore(NUS), Singapore
Advisor: Prof. CHUA Tat Seng and Dr. Meng Lei
Research Intern
May 2018 - September 2018 | DiDi, China
Advisor: Dr. Pengfei Xu