Yuqing Wang

I am a Ph.D. candidate at MMLab@HKU and IDS@HKU, supervised by Prof. Xihui Liu and Prof. Yi Ma. I am currently a research intern at ByteDance Seed, mentored by Zhijie Lin. I have been fortunate to collaborate with Prof. Chunhua Shen and Dr. Jiashi Feng.

My research centers on unified multimodal models — toward a single model that understands, generates, and reasons across any modality. These days I focus on making unified models serve as world models. Previously I worked on autoregressive visual generation, long video generation, and instance segmentation.

Outside research, I love movies — especially sci-fi and mystery films. My favorite director is Stanley Kubrick.

Email / Google Scholar / GitHub

profile photo

News

[2026.05] Representation Forcing is released on arXiv.
[2026.02] CubiD is accepted to CVPR 2026 as a Highlight.
[2025.06] TokenBridge is accepted to ICCV 2025.
[2025.02] PAR is accepted to CVPR 2025 as a Highlight.

Publications

(* denotes equal contribution)

	Representation Forcing for Bottleneck-Free Unified Multimodal Models Yuqing Wang, Zhijie Lin, Ceyuan Yang, Yang Zhao, Fei Xiao, Hao He, Qi Zhao, Zihan Ding, Fuyun Wang, Shuai Wang, Youliang Zhang, Haoqi Fan, Xihui Liu arXiv, 2026 paper / project page Building unified multimodal models in a unified representation space without information bottlenecks.
	CubiD: Discrete Visual Generation on High-Dimensional Representation Tokens Yuqing Wang, Chuofan Ma, Zhijie Lin, Yao Teng, Lijun Yu, Shuai Wang, Jiaming Han, Jiashi Feng, Yi Jiang, Xihui Liu CVPR, 2026 (Highlight, top 12%) paper / code Discrete visual generation on high-dimensional representation tokens.
	TokenBridge: Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation Yuqing Wang, Zhijie Lin, Yao Teng, Yuanzhi Zhu, Shuhuai Ren, Jiashi Feng, Xihui Liu ICCV, 2025 paper / project page / code Bridging continuous and discrete tokens to close the gap between autoregressive and diffusion models.
	Parallelized Autoregressive Visual Generation Yuqing Wang, Shuhuai Ren, Zhijie Lin, Yujin Han, Haoyuan Guo, Zhenheng Yang, Difan Zou, Jiashi Feng, Xihui Liu CVPR, 2025 (Highlight, top 12%) paper / project page / code Accelerating visual generation through parallelized autoregressive prediction.
	Loong: Generating Minute-level Long Videos with Autoregressive Language Models Yuqing Wang, Tianwei Xiong, Daquan Zhou, Zhijie Lin, Yang Zhao, Bingyi Kang, Jiashi Feng, Xihui Liu arXiv, 2024 paper / project page Minute-level long video generation with autoregressive language models.
	End-to-End Video Instance Segmentation with Transformers Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, Huaxia Xia CVPR, 2021 (Oral, top 2%) paper / code The first Transformer-based video instance segmentation method.
	CenterMask: Single Shot Instance Segmentation with Point Representation Yuqing Wang, Zhaoliang Xu, Hao Shen, Baoshan Cheng, Lirong Yang CVPR, 2020 paper
	MACRO: Advancing Multi-Reference Image Generation with Structured Long-Context Data Zhekai Chen, Yuqing Wang*, Manyuan Zhang, Xihui Liu arXiv*, 2026 paper / project page / code
	GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning Chengqi Duan, Rongyao Fang, Yuqing Wang, Kun Wang, Linjiang Huang, Xingyu Zeng, Hongsheng Li, Xihui Liu ICLR*, 2026 paper / code
	LVD-2M: A Long-take Video Dataset with Temporally Dense Captions Tianwei Xiong, Yuqing Wang*, Daquan Zhou, Zhijie Lin, Jiashi Feng, Xihui Liu NeurIPS*, 2024 paper / project page / code

Service

Reviewer for CVPR, ICCV, NeurIPS, and TMLR.
Outstanding Reviewer, CVPR 2025.

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