Interventional Few-Shot Learning. - Zhongqi Yue; Hanwang Zhang; Qianru Sun; Xian-Sheng Hua 001 (NeurIPS, 2020)

Counterfactual Zero-Shot and Open-Set Visual Recognition. - Zhongqi Yue; Tan Wang; Qianru Sun; Xian-Sheng Hua 001; Hanwang Zhang (CVPR, 2021)

Transporting Causal Mechanisms for Unsupervised Domain Adaptation. - Zhongqi Yue; Qianru Sun; Xian-Sheng Hua 001; Hanwang Zhang (ICCV, 2021)

Self-Supervised Learning Disentangled Group Representation as Feature. - Tan Wang; Zhongqi Yue; Jianqiang Huang; Qianru Sun; Hanwang Zhang (NeurIPS, 2021)

Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection. - Hui Lv; Zhongqi Yue; Qianru Sun; Bin Luo; Zhen Cui 001; Hanwang Zhang (CVPR, 2023)

Invariant Feature Regularization for Fair Face Recognition. - Jiali Ma; Zhongqi Yue; Tomoyuki Kagaya; Tomoki Suzuki; Jayashree Karlekar; Sugiri Pranata; Hanwang Zhang (ICCV, 2023)

Random Boxes Are Open-world Object Detectors. - Yanghao Wang; Zhongqi Yue; Xian-Sheng Hua 001; Hanwang Zhang (ICCV, 2023)

Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation. - Zhongqi Yue; Qianru Sun; Hanwang Zhang (NeurIPS, 2023)

Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detector. - Xuanyi Liu; Zhongqi Yue; Xian-Sheng Hua 001 (CoRR, 2023)

Few-Shot Learner Parameterization by Diffusion Time-Steps. - Zhongqi Yue; Pan Zhou 002; Richang Hong; Hanwang Zhang; Qianru Sun (CVPR, 2024)

Exploring Diffusion Time-steps for Unsupervised Representation Learning. - Zhongqi Yue; Jiankun Wang 010; Qianru Sun; Lei Ji 001; Eric I-Chao Chang; Hanwang Zhang (ICLR, 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 006; Siliang Tang; Yueting Zhuang (CoRR, 2024)

Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens. - Kaihang Pan; Wang Lin; Zhongqi Yue; Tenglong Ao; Liyu Jia; Wei Zhao; Juncheng Li 006; Siliang Tang; Hanwang Zhang (CVPR, 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 006; Siliang Tang; Hanwang Zhang; Yueting Zhuang (CVPR, 2025)

Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program. - Minghe Gao; Xuqi Liu; Zhongqi Yue; Yang Wu; Shuang Chen; Juncheng Li 006; Siliang Tang; Fei Wu 001; Tat-Seng Chua; Yueting Zhuang (CoRR, 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 001; Hanwang Zhang (CoRR, 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; et al. (CoRR, 2025)