Xueqing Deng’s personal webpage
I’m currently a research scientist at ByteDance Seed Research and I joined ByteDance since 2022. During ByteDance, I am fortunate to work under the supervision from Dr. Liang-Chieh Chen and Dr. Xiaohui Shen. Before joining ByteDance, I achieved my PhD degree in EECS from University of California, Merced in 2021 advised by Prof. Shawn Newsam and worked closely with Dr. Yi Zhu during my PhD. Before that, I achieved my BS dregree in 2016 from Sun Yat-Sen University, China.
You can find my resume here: Xueqing Deng’s Resume
Research Interests
I am recently interested in multimodal learning for visual generation including both image and video.
News!
6/10/2025: 2 ICCV2025 have been accepted!
2/24/2025: 1 CPVR2025 has been accepted!
10/1/2024: 1 NeurIPS2024 has been accepted!
Selected Work
 | WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Zhiheng Liu*, Xueqing Deng, Shoufa Chen, Angtian Wang, Qiushan Guo, Mingfei Han, Zeyue Xue, Mengzhao Chen, Ping Luo, Linjie Yang (*denotes mentored intern) coming, 2025 coming / coming |
 | Leveraging Panoptic Scene Graph for Evaluating Fine-Grained Text-to-Image Generation Xueqing Deng, Linjie Yang, Qihang Yu, Chenglin Yang, Liang-Chieh Chen ICCV, 2025 coming / coming |
 | ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation Ali Athar, Xueqing Deng, Liang-Chieh Chen CVPR, 2025 paper / webpage |
 | COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation Xueqing Deng, Linjie Yang, Qihang Yu, Ali Athar, Chenglin Yang, Xiaojie Jin, Xiaohui Shen, Liang-Chieh Chen arxiv, 2025 paper / webpage |
 | COCONut: Modernizing COCO Segmentation Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen CVPR, 2024 paper / webpage |
 | DistPro: Searching A Fast Knowledge Distillation Process via Meta Optimization Xueqing Deng*, Dawei Sun*, Shawn Newsam and Peng Wang (*denotes co-first author) ECCV, 2022 paper |
 | NightLab: A Dual-Level Architecture With Hardness Detection for Segmentation at Night Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn Newsam CVPR, 2022 paper |
 | AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn Newsam CVPR Workshop on Neural Architecture Search, 2021 paper |