Zhongqi Yue

According to our database, Zhongqi Yue authored at least 23 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Efficient Matrix Implementation for Rotary Position Embedding.

Minqi Chen, Zhongqi Yue, Shihao Zhang, Yun Xu, Peng Wu, Kaixiang Xu, Zeyi Huang, Hanwang Zhang

CoRR, April, 2026

Thinking with Images as Continuous Actions: Numerical Visual Chain-of-Thought.

Kesen Zhao, Beier Zhu, Junbao Zhou, Xingyu Zhu, Zhongqi Yue, Hanwang Zhang

CoRR, February, 2026

Object Fusion via Diffusion Time-step for Customized Image Editing with Single Example.

Xue Song, Zhongqi Yue, Jiequan Cui, Hanwang Zhang, Jingjing Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

When are radiology reports useful for training medical image classifiers?

Herman Bergström, Zhongqi Yue, Fredrik D. Johansson

CoRR, October, 2025

Expanding the Action Space of LLMs to Reason Beyond Language.

Zhongqi Yue, Weishi Wang, Yundaichuan Zhan, Juncheng Li, Daniel Dahlmeier, Fredrik D. Johansson

CoRR, October, 2025

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning.

Bohan Wang, Zhongqi Yue, Fengda Zhang, Shuo Chen, Li'an Bi, Junzhe Zhang, Xue Song, Kennard Yanting Chan, Jiachun Pan, Weijia Wu, Mingze Zhou, Wang Lin, Kaihang Pan, Saining Zhang, Liyu Jia, Wentao Hu, Wei Zhao, Hanwang Zhang

CoRR, May, 2025

Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning.

Wang Lin, Liyu Jia, Wentao Hu, Kaihang Pan, Zhongqi Yue, Wei Zhao, Jingyuan Chen, Fei Wu, Hanwang Zhang

CoRR, April, 2025

Mastering Collaborative Multi-Modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness.

Qifan Yu, Zhebei Shen, Zhongqi Yue, Yang Wu, Bosheng Qin, Wenqiao Zhang, Yunfei Li, Juncheng Li, Siliang Tang, Yueting Zhuang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program.

Minghe Gao, Xuqi Liu, Zhongqi Yue, Yang Wu, Shuang Chen, Juncheng Li, Siliang Tang, Fei Wu, Tat-Seng Chua, Yueting Zhuang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea.

Qifan Yu, Wei Chow, Zhongqi Yue, Kaihang Pan, Yang Wu, Xiaoyang Wan, Juncheng Li, Siliang Tang, Hanwang Zhang, Yueting Zhuang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens.

Kaihang Pan, Wang Lin, Zhongqi Yue, Tenglong Ao, Liyu Jia, Wei Zhao, Juncheng Li, Siliang Tang, Hanwang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness.

Qifan Yu, Zhebei Shen, Zhongqi Yue, Yang Wu, Wenqiao Zhang, Yunfei Li, Juncheng Li, Siliang Tang, Yueting Zhuang

CoRR, 2024

Exploring Diffusion Time-steps for Unsupervised Representation Learning.

Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric I-Chao Chang, Hanwang Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Few-Shot Learner Parameterization by Diffusion Time-Steps.

Zhongqi Yue, Pan Zhou, Richang Hong, Hanwang Zhang, Qianru Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detector.

Xuanyi Liu, Zhongqi Yue, Xian-Sheng Hua

CoRR, 2023

Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation.

Zhongqi Yue, Qianru Sun, Hanwang Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Random Boxes Are Open-world Object Detectors.

Yanghao Wang, Zhongqi Yue, Xian-Sheng Hua, Hanwang Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Invariant Feature Regularization for Fair Face Recognition.

Jiali Ma, Zhongqi Yue, Tomoyuki Kagaya, Tomoki Suzuki, Jayashree Karlekar, Sugiri Pranata, Hanwang Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection.

Hui Lv, Zhongqi Yue, Qianru Sun, Bin Luo, Zhen Cui, Hanwang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Self-Supervised Learning Disentangled Group Representation as Feature.

Tan Wang, Zhongqi Yue, Jianqiang Huang, Qianru Sun, Hanwang Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Transporting Causal Mechanisms for Unsupervised Domain Adaptation.

Zhongqi Yue, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Counterfactual Zero-Shot and Open-Set Visual Recognition.

Zhongqi Yue, Tan Wang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Interventional Few-Shot Learning.

Zhongqi Yue, Hanwang Zhang, Qianru Sun, Xian-Sheng Hua

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020