Jiequan Cui - RankMe

45 papers A* 16Journal 28Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos. AAAI Qingshan Xu, Jiao Liu, Shangshu Yu, Yuxuan Wang, Yuan Zhou, Junbao Zhou, Jiequan Cui, Yew-Soon Ong, Hanwang Zhang
2026	A*	`conf`	Object Fusion via Diffusion Time-step for Customized Image Editing with Single Example. AAAI Xue Song, Zhongqi Yue, Jiequan Cui, Hanwang Zhang, Jingjing Chen
2026	A*	`conf`	Pushing Rendering Boundaries: Hard Gaussian Splatting. AAAI Qingshan Xu, Jiequan Cui, Xuanyu Yi, Yuxuan Wang, Yuan Zhou, Yew-Soon Ong, Hanwang Zhang
2026	J	`jnl`	Reducing Class-Wise Performance Disparity via Margin Regularization. CoRR Beier Zhu, Kesen Zhao, Jiequan Cui, Qianru Sun, Yuan Zhou, Xun Yang, Hanwang Zhang
2026	J	`jnl`	Rethinking VLMs for Image Forgery Detection and Localization. CoRR Shaofeng Guo, Jiequan Cui, Richang Hong
2025	J	`jnl`	Aligned Contrastive Loss for Long-Tailed Recognition. CoRR Jiali Ma, Jiequan Cui, Kazuki Maeno, Lakshmi Subramanian, Jayashree Karlekar, Sugiri Pranata, Hanwang Zhang
2025	A*	`conf`	CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction. CVPR Yuan Zhou, Qingshan Xu, Jiequan Cui, Junbao Zhou, Jing Zhang, Richang Hong, Hanwang Zhang
2025	J	`jnl`	Generalized Kullback-Leibler Divergence Loss. CoRR Jiequan Cui, Beier Zhu, Qingshan Xu, Zhuotao Tian, Xiaojuan Qi, Bei Yu, Hanwang Zhang, Richang Hong
2025	J	`jnl`	Generative Distribution Distillation. CoRR Jiequan Cui, Beier Zhu, Qingshan Xu, Xiaogang Xu, Pengguang Chen, Xiaojuan Qi, Bei Yu, Hanwang Zhang, Richang Hong
2025	J	`jnl`	NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos. CoRR Qingshan Xu, Jiao Liu, Shangshu Yu, Yuxuan Wang, Yuan Zhou, Junbao Zhou, Jiequan Cui, Yew-Soon Ong, Hanwang Zhang
2025	A*	`conf`	Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness. CVPR Beier Zhu, Jiequan Cui, Hanwang Zhang, Chi Zhang
2025	J	`jnl`	Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness. CoRR Beier Zhu, Jiequan Cui, Hanwang Zhang, Chi Zhang
2024	J	`jnl`	CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction. CoRR Yuan Zhou, Qingshan Xu, Jiequan Cui, Junbao Zhou, Jing Zhang, Richang Hong, Hanwang Zhang
2024	A*	`conf`	Classes Are Not Equal: An Empirical Study on Image Recognition Fairness. CVPR Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang
2024	J	`jnl`	Classes Are Not Equal: An Empirical Study on Image Recognition Fairness. CoRR Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang
2024	A*	`conf`	Decoupled Kullback-Leibler Divergence Loss. NeurIPS Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang
2024	A*	`conf`	Doubly Abductive Counterfactual Inference for Text-Based Image Editing. CVPR Xue Song, Jiequan Cui, Hanwang Zhang, Jingjing Chen, Richang Hong, Yu-Gang Jiang
2024	J	`jnl`	Doubly Abductive Counterfactual Inference for Text-based Image Editing. CoRR Xue Song, Jiequan Cui, Hanwang Zhang, Jingjing Chen, Richang Hong, Yu-Gang Jiang
2024	J	`jnl`	Generalized Parametric Contrastive Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jiequan Cui, Zhisheng Zhong, Zhuotao Tian, Shu Liu, Bei Yu, Jiaya Jia
2024	—	`conf`	Instruction Tuning-Free Visual Token Complement for Multimodal LLMs. ECCV (81) Dongsheng Wang, Jiequan Cui, Miaoge Li, Wang Lin, Bo Chen, Hanwang Zhang
2024	J	`jnl`	Instruction Tuning-free Visual Token Complement for Multimodal LLMs. CoRR Dongsheng Wang, Jiequan Cui, Miaoge Li, Wang Lin, Bo Chen, Hanwang Zhang
2024	J	`jnl`	LoRA of Change: Learning to Generate LoRA for the Editing Instruction from A Single Before-After Image Pair. CoRR Xue Song, Jiequan Cui, Hanwang Zhang, Jiaxin Shi, Jingjing Chen, Chi Zhang, Yu-Gang Jiang
2024	J	`jnl`	Pushing Rendering Boundaries: Hard Gaussian Splatting. CoRR Qingshan Xu, Jiequan Cui, Xuanyu Yi, Yuxuan Wang, Yuan Zhou, Yew-Soon Ong, Hanwang Zhang
2024	A*	`conf`	Robust Fine-tuning of Zero-shot Models via Variance Reduction. NeurIPS Beier Zhu, Jiequan Cui, Hanwang Zhang
2024	J	`jnl`	Robust Fine-tuning of Zero-shot Models via Variance Reduction. CoRR Beier Zhu, Jiequan Cui, Hanwang Zhang
2024	A*	`conf`	Typicalness-Aware Learning for Failure Detection. NeurIPS Yijun Liu, Jiequan Cui, Zhuotao Tian, Senqiao Yang, Qingdong He, Xiaoling Wang, Jingyong Su
2024	J	`jnl`	Typicalness-Aware Learning for Failure Detection. CoRR Yijun Liu, Jiequan Cui, Zhuotao Tian, Senqiao Yang, Qingdong He, Xiaoling Wang, Jingyong Su
2023	J	`jnl`	Decoupled Kullback-Leibler Divergence Loss. CoRR Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang
2023	A*	`conf`	Learning Context-Aware Classifier for Semantic Segmentation. AAAI Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia
2023	J	`jnl`	Learning Context-aware Classifier for Semantic Segmentation. CoRR Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia
2023	J	`jnl`	ResLT: Residual Learning for Long-Tailed Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia
2023	A*	`conf`	Understanding Imbalanced Semantic Segmentation Through Neural Collapse. CVPR Zhisheng Zhong, Jiequan Cui, Yibo Yang, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia
2023	J	`jnl`	Understanding Imbalanced Semantic Segmentation Through Neural Collapse. CoRR Zhisheng Zhong, Jiequan Cui, Yibo Yang, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia
2022	J	`jnl`	Generalized Parametric Contrastive Learning. CoRR Jiequan Cui, Zhisheng Zhong, Zhuotao Tian, Shu Liu, Bei Yu, Jiaya Jia
2022	J	`jnl`	Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition. CoRR Zhisheng Zhong, Jiequan Cui, Eric Lo, Zeming Li, Jian Sun, Jiaya Jia
2022	J	`jnl`	Region Rebalance for Long-Tailed Semantic Segmentation. CoRR Jiequan Cui, Yuhui Yuan, Zhisheng Zhong, Zhuotao Tian, Han Hu, Stephen Lin, Jiaya Jia
2021	J	`jnl`	Adversarial Attacks on ML Defense Models Competition. CoRR Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen
2021	A*	`conf`	Improving Calibration for Long-Tailed Recognition. CVPR Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia
2021	J	`jnl`	Improving Calibration for Long-Tailed Recognition. CoRR Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia
2021	A*	`conf`	Learnable Boundary Guided Adversarial Training. ICCV Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia
2021	A*	`conf`	Parametric Contrastive Learning. ICCV Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia
2021	J	`jnl`	Parametric Contrastive Learning. CoRR Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia
2021	J	`jnl`	ResLT: Residual Learning for Long-tailed Recognition. CoRR Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia
2020	J	`jnl`	Learnable Boundary Guided Adversarial Training. CoRR Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia
2019	A*	`conf`	Fast and Practical Neural Architecture Search. ICCV Jiequan Cui, Pengguang Chen, Ruiyu Li, Shu Liu, Xiaoyong Shen, Jiaya Jia