Fast and Practical Neural Architecture Search. - Jiequan Cui; Pengguang Chen; Ruiyu Li; Shu Liu 005; Xiaoyong Shen; Jiaya Jia (ICCV, 2019)

Improving Calibration for Long-Tailed Recognition. - Zhisheng Zhong; Jiequan Cui; Shu Liu 005; Jiaya Jia (CVPR, 2021)

Learnable Boundary Guided Adversarial Training. - Jiequan Cui; Shu Liu 005; Liwei Wang 009; Jiaya Jia (ICCV, 2021)

Parametric Contrastive Learning. - Jiequan Cui; Zhisheng Zhong; Shu Liu 005; Bei Yu 001; Jiaya Jia (ICCV, 2021)

Adversarial Attacks on ML Defense Models Competition. - Yinpeng Dong; Qi-An Fu; Xiao Yang; Wenzhao Xiang 001; Tianyu Pang; Hang Su 006; Jun Zhu 001; Jiayu Tang; Yuefeng Chen; Xiaofeng Mao; Yuan He 011; Hui Xue 001; et al. (CoRR, 2021)

Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition. - Zhisheng Zhong; Jiequan Cui; Eric Lo 001; Zeming Li; Jian Sun 001; Jiaya Jia (CoRR, 2022)

Region Rebalance for Long-Tailed Semantic Segmentation. - Jiequan Cui; Yuhui Yuan; Zhisheng Zhong; Zhuotao Tian; Han Hu 001; Stephen Lin 001; Jiaya Jia (CoRR, 2022)

Learning Context-Aware Classifier for Semantic Segmentation. - Zhuotao Tian; Jiequan Cui; Li Jiang 009; Xiaojuan Qi 001; Xin Lai; Yixin Chen; Shu Liu 005; Jiaya Jia (AAAI, 2023)

Understanding Imbalanced Semantic Segmentation Through Neural Collapse. - Zhisheng Zhong; Jiequan Cui; Yibo Yang; Xiaoyang Wu 002; Xiaojuan Qi 001; Xiangyu Zhang 005; Jiaya Jia (CVPR, 2023)

ResLT: Residual Learning for Long-Tailed Recognition. - Jiequan Cui; Shu Liu 005; Zhuotao Tian; Zhisheng Zhong; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Classes Are Not Equal: An Empirical Study on Image Recognition Fairness. - Jiequan Cui; Beier Zhu; Xin Wen 004; Xiaojuan Qi 001; Bei Yu 001; Hanwang Zhang (CVPR, 2024)

Doubly Abductive Counterfactual Inference for Text-Based Image Editing. - Xue Song; Jiequan Cui; Hanwang Zhang; Jingjing Chen 001; Richang Hong; Yu-Gang Jiang 001 (CVPR, 2024)

Instruction Tuning-Free Visual Token Complement for Multimodal LLMs. - Dongsheng Wang 003; Jiequan Cui; Miaoge Li; Wang Lin; Bo Chen 001; Hanwang Zhang (ECCV (81), 2024)

Decoupled Kullback-Leibler Divergence Loss. - Jiequan Cui; Zhuotao Tian; Zhisheng Zhong; Xiaojuan Qi 001; Bei Yu 001; Hanwang Zhang (NeurIPS, 2024)

Typicalness-Aware Learning for Failure Detection. - Yijun Liu; Jiequan Cui; Zhuotao Tian; Senqiao Yang; Qingdong He; Xiaoling Wang; Jingyong Su (NeurIPS, 2024)

Robust Fine-tuning of Zero-shot Models via Variance Reduction. - Beier Zhu; Jiequan Cui; Hanwang Zhang (NeurIPS, 2024)

LoRA of Change: Learning to Generate LoRA for the Editing Instruction from A Single Before-After Image Pair. - Xue Song; Jiequan Cui; Hanwang Zhang; Jiaxin Shi; Jingjing Chen 001; Chi Zhang 067; Yu-Gang Jiang 001 (CoRR, 2024)

Pushing Rendering Boundaries: Hard Gaussian Splatting. - Qingshan Xu 001; Jiequan Cui; Xuanyu Yi; Yuxuan Wang; Yuan Zhou 016; Yew-Soon Ong; Hanwang Zhang (CoRR, 2024)

Generalized Parametric Contrastive Learning. - Jiequan Cui; Zhisheng Zhong; Zhuotao Tian; Shu Liu 005; Bei Yu 001; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction. - Yuan Zhou 016; Qingshan Xu 001; Jiequan Cui; Junbao Zhou; Jing Zhang; Richang Hong; Hanwang Zhang (CVPR, 2025)

Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness. - Beier Zhu; Jiequan Cui; Hanwang Zhang; Chi Zhang 067 (CVPR, 2025)

Generalized Kullback-Leibler Divergence Loss. - Jiequan Cui; Beier Zhu; Qingshan Xu 001; Zhuotao Tian; Xiaojuan Qi 001; Bei Yu 001; Hanwang Zhang; Richang Hong (CoRR, 2025)

Aligned Contrastive Loss for Long-Tailed Recognition. - Jiali Ma; Jiequan Cui; Kazuki Maeno; Lakshmi Subramanian; Jayashree Karlekar; Sugiri Pranata; Hanwang Zhang (CoRR, 2025)

Generative Distribution Distillation. - Jiequan Cui; Beier Zhu; Qingshan Xu 001; Xiaogang Xu 002; Pengguang Chen; Xiaojuan Qi 001; Bei Yu 001; Hanwang Zhang; Richang Hong (CoRR, 2025)