Minjing Dong - RankMe

74 papers A* 27Journal 46Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Confidence Calibration under Ambiguous Ground Truth. CoRR Linwei Tao, Haoyang Luo, Minjing Dong, Chang Xu
2026	A*	`conf`	Diversifying Counterattacks: Orthogonal Exploration for Robust CLlP Inference. AAAI Chengze Jiang, Minjing Dong, Xinli Shi, Jie Gui
2026	J	`jnl`	PA-Attack: Guiding Gray-Box Attacks on LVLM Vision Encoders with Prototypes and Attention. CoRR Hefei Mei, Zirui Wang, Chang Xu, Jianyuan Guo, Minjing Dong
2025	J	`jnl`	A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions. CoRR Shuxian Zhao, Jie Gui, Minjing Dong, Baosheng Yu, Zhipeng Gui, Lu Dong, Yuan Yan Tang, James Tin-Yau Kwok
2025	A*	`conf`	Adversarial Robustness via Deformable Convolution with Stochasticity. ICML Yanxiang Ma, Zixuan Huang, Minjing Dong, Shan You, Chang Xu
2025	J	`jnl`	Adversarially Robust Neural Architectures. IEEE Trans. Pattern Anal. Mach. Intell. Minjing Dong, Yanxi Li, Yunhe Wang, Chang Xu
2025	J	`jnl`	Backdooring Self-Supervised Contrastive Learning by Noisy Alignment. CoRR Tuo Chen, Jie Gui, Minjing Dong, Ju Jia, Lanting Fang, Jian Liu
2025	A*	`conf`	Beyond One-Hot Labels: Semantic Mixing for Model Calibration. ICML Haoyang Luo, Linwei Tao, Minjing Dong, Chang Xu
2025	J	`jnl`	Beyond One-Hot Labels: Semantic Mixing for Model Calibration. CoRR Haoyang Luo, Linwei Tao, Minjing Dong, Chang Xu
2025	J	`jnl`	Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling. CoRR Xiaoyang Li, Linwei Tao, Haohui Lu, Minjing Dong, Junbin Gao, Chang Xu
2025	J	`jnl`	Can Large Language Models Express Uncertainty Like Human? CoRR Linwei Tao, Yi-Fan Yeh, Bo Kai, Minjing Dong, Tao Huang, Tom A. Lamb, Jialin Yu, Philip H. S. Torr, Chang Xu
2025	J	`jnl`	Catching the Details: Self-Distilled RoI Predictors for Fine-Grained MLLM Perception. CoRR Yuheng Shi, Xiaohuan Pei, Minjing Dong, Chang Xu
2025	A*	`conf`	Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models. ICLR Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu
2025	J	`jnl`	Diversifying Counterattacks: Orthogonal Exploration for Robust CLIP Inference. CoRR Chengze Jiang, Minjing Dong, Xinli Shi, Jie Gui
2025	J	`jnl`	Divide and Conquer: Frequency-Aware Contrastive Adversarial Training for Robust Point Cloud Classification. IEEE Trans. Inf. Forensics Secur. Yu-Xin Zhang, Jie Gui, Minjing Dong, Xiaofeng Cong, Yuan Cao, Xin Gong, Yuan Yan Tang, James Tin-Yau Kwok
2025	A*	`conf`	Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness. AAAI Hefei Mei, Minjing Dong, Chang Xu
2025	J	`jnl`	Efficient Rectified Flow for Image Fusion. CoRR Zirui Wang, Jiayi Zhang, Tianwei Guan, Yuhan Zhou, Xingyuan Li, Minjing Dong, Jinyuan Liu
2025	J	`jnl`	Exploring the Coordination of Frequency and Attention in Masked Image Modeling. IEEE Trans. Image Process. Jie Gui, Tuo Chen, Minjing Dong, Zhengqi Liu, Hao Luo, James Tin-Yau Kwok, Yuan Yan Tang
2025	A*	`conf`	Feature Clipping for Uncertainty Calibration. AAAI Linwei Tao, Minjing Dong, Chang Xu
2025	J	`jnl`	Improving Fast Adversarial Training via Self-Knowledge Guidance. IEEE Trans. Inf. Forensics Secur. Chengze Jiang, Junkai Wang, Minjing Dong, Jie Gui, Xinli Shi, Yuan Cao, Yuan Yan Tang, James Tin-Yau Kwok
2025	J	`jnl`	Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration. CoRR Younan Zhu, Linwei Tao, Minjing Dong, Chang Xu
2025	J	`jnl`	Revisiting Uncertainty Estimation and Calibration of Large Language Models. CoRR Linwei Tao, Yi-Fan Yeh, Minjing Dong, Tao Huang, Philip Torr, Chang Xu
2025	J	`jnl`	Sample Margin-Aware Recalibration of Temperature Scaling. CoRR Haolan Guo, Linwei Tao, Haoyang Luo, Minjing Dong, Chang Xu
2025	J	`jnl`	Survey of Adversarial Robustness in Multimodal Large Language Models. CoRR Chengze Jiang, Zhuangzhuang Wang, Minjing Dong, Jie Gui
2025	A*	`conf`	Uncertainty Weighted Gradients for Model Calibration. CVPR Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu
2025	J	`jnl`	Uncertainty Weighted Gradients for Model Calibration. CoRR Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu
2025	J	`jnl`	VEAttack: Downstream-agnostic Vision Encoder Attack against Large Vision Language Models. CoRR Hefei Mei, Zirui Wang, Shen You, Minjing Dong, Chang Xu
2025	—	`conf`	Workshop on Sustainable AI for the Future Web. WWW (Companion Volume) Chang Xu, Yunke Wang, Jianyuan Guo, Daochang Liu, Minjing Dong, Yasmeen M. George, Johan Barthelemy, Yan Liu, Ling Chen
2024	A*	`conf`	A Benchmark Study on Calibration. ICLR Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu
2024	A*	`conf`	AMD: Autoregressive Motion Diffusion. AAAI Bo Han, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, Chang Xu
2024	J	`jnl`	Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors. CoRR Linwei Tao, Haolan Guo, Minjing Dong, Chang Xu
2024	J	`jnl`	Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Model. CoRR Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu
2024	J	`jnl`	Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness. CoRR Hefei Mei, Minjing Dong, Chang Xu
2024	J	`jnl`	Feature Clipping for Uncertainty Calibration. CoRR Linwei Tao, Minjing Dong, Chang Xu
2024	J	`jnl`	Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation. CoRR Yuheng Shi, Minjing Dong, Chang Xu
2024	A*	`conf`	Imitation Learning from Purified Demonstrations. ICML Yunke Wang, Minjing Dong, Yukun Zhao, Bo Du, Chang Xu
2024	J	`jnl`	Improving Fast Adversarial Training via Self-Knowledge Guidance. CoRR Chengze Jiang, Junkai Wang, Minjing Dong, Jie Gui, Xinli Shi, Yuan Cao, Yuan Yan Tang, James Tin-Yau Kwok
2024	A*	`conf`	Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model. NeurIPS Yuheng Shi, Minjing Dong, Chang Xu
2024	J	`jnl`	Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model. CoRR Yuheng Shi, Minjing Dong, Chang Xu
2024	A*	`conf`	Neural Architecture Retrieval. ICLR Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu
2024	A*	`conf`	Random Entangled Tokens for Adversarially Robust Vision Transformer. CVPR Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu
2024	J	`jnl`	Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization. IEEE Trans. Multim. Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu
2024	J	`jnl`	VSSD: Vision Mamba with Non-Casual State Space Duality. CoRR Yuheng Shi, Minjing Dong, Mingjia Li, Chang Xu
2023	J	`jnl`	A Benchmark Study on Calibration. CoRR Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu
2023	J	`jnl`	AMD: Autoregressive Motion Diffusion. CoRR Bo Han, Hao Peng, Minjing Dong, Chang Xu, Yi Ren, Yixuan Shen, Yuheng Li
2023	J	`jnl`	Adversarial Recurrent Time Series Imputation. IEEE Trans. Neural Networks Learn. Syst. Shuo Yang, Minjing Dong, Yunhe Wang, Chang Xu
2023	A*	`conf`	Adversarial Robustness through Random Weight Sampling. NeurIPS Yanxiang Ma, Minjing Dong, Chang Xu
2023	A*	`conf`	Adversarial Robustness via Random Projection Filters. CVPR Minjing Dong, Chang Xu
2023	A*	`conf`	Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. AAAI Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu
2023	A*	`conf`	Calibrating a Deep Neural Network with Its Predecessors. IJCAI Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu
2023	J	`jnl`	Calibrating a Deep Neural Network with Its Predecessors. CoRR Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu
2023	A*	`conf`	Dual Focal Loss for Calibration. ICML Linwei Tao, Minjing Dong, Chang Xu
2023	J	`jnl`	Dual Focal Loss for Calibration. CoRR Linwei Tao, Minjing Dong, Chang Xu
2023	J	`jnl`	Imitation Learning from Purified Demonstration. CoRR Yunke Wang, Minjing Dong, Bo Du, Chang Xu
2023	J	`jnl`	Improving Lightweight AdderNet via Distillation From ℓ IEEE Trans. Image Process. Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu
2023	J	`jnl`	Neural Architecture Retrieval. CoRR Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu
2023	A*	`conf`	Neural Architecture Search for Wide Spectrum Adversarial Robustness. AAAI Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu
2023	J	`jnl`	Neural Architecture Search via Proxy Validation. IEEE Trans. Pattern Anal. Mach. Intell. Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu
2023	J	`jnl`	Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks. CoRR Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu
2023	J	`jnl`	Skeleton-Based Human Motion Prediction With Privileged Supervision. IEEE Trans. Neural Networks Learn. Syst. Minjing Dong, Chang Xu
2023	J	`jnl`	Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization. CoRR Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu
2022	J	`jnl`	Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. CoRR Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chang Xu
2022	J	`jnl`	Neural architecture tuning with policy adaptation. Neurocomputing Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang, Chang Xu
2022	A*	`conf`	Random Normalization Aggregation for Adversarial Defense. NeurIPS Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu
2022	A*	`conf`	Spatial-Channel Token Distillation for Vision MLPs. ICML Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu
2021	A*	`conf`	An Empirical Study of Adder Neural Networks for Object Detection. NeurIPS Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	An Empirical Study of Adder Neural Networks for Object Detection. CoRR Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang
2021	A*	`conf`	Handling Long-tailed Feature Distribution in AdderNets. NeurIPS Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu
2021	A*	`conf`	Towards Stable and Robust AdderNets. NeurIPS Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu
2020	J	`jnl`	Adversarially Robust Neural Architectures. CoRR Minjing Dong, Yanxi Li, Yunhe Wang, Chang Xu
2020	A*	`conf`	Neural Architecture Search in A Proxy Validation Loss Landscape. ICML Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu
2019	A*	`conf`	Crafting Efficient Neural Graph of Large Entropy. IJCAI Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu
2019	A*	`conf`	On Retrospecting Human Dynamics with Attention. IJCAI Minjing Dong, Chang Xu
2019	J	`jnl`	Spatial-Temporal Attention-Based Human Dynamics Retrospection. IEEE Access Minjing Dong, Chang Xu