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ORCIDMinjing Dong
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2020 – today
- 2025
[j9]Minjing Dong
, Yanxi Li, Yunhe Wang, Chang Xu:
Adversarially Robust Neural Architectures. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 4183-4197 (2025)- [j8]Chengze Jiang, Junkai Wang, Minjing Dong, Jie Gui, Xinli Shi, Yuan Cao, Yuan Yan Tang, James Tin-Yau Kwok:
Improving Fast Adversarial Training via Self-Knowledge Guidance. IEEE Trans. Inf. Forensics Secur. 20: 3772-3787 (2025) - [c23]Hefei Mei, Minjing Dong, Chang Xu:
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness. AAAI 2025: 6081-6089 - [c22]Linwei Tao, Minjing Dong, Chang Xu:
Feature Clipping for Uncertainty Calibration. AAAI 2025: 20841-20849 - [c21]Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu:
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models. ICLR 2025 - [i22]Younan Zhu, Linwei Tao, Minjing Dong, Chang Xu:
Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration. CoRR abs/2502.01969 (2025) - [i21]Chengze Jiang, Zhuangzhuang Wang, Minjing Dong, Jie Gui:
Survey of Adversarial Robustness in Multimodal Large Language Models. CoRR abs/2503.13962 (2025) - [i20]Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu:
Uncertainty Weighted Gradients for Model Calibration. CoRR abs/2503.22725 (2025) - 2024
- [j7]Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu:
Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization. IEEE Trans. Multim. 26: 5014-5025 (2024) - [c20]Bo Han, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, Chang Xu:
AMD: Autoregressive Motion Diffusion. AAAI 2024: 2022-2030 - [c19]Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu:
Random Entangled Tokens for Adversarially Robust Vision Transformer. CVPR 2024: 24554-24563 - [c18]Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu:
Neural Architecture Retrieval. ICLR 2024 - [c17]Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu:
A Benchmark Study on Calibration. ICLR 2024 - [c16]Yunke Wang, Minjing Dong, Yukun Zhao, Bo Du, Chang Xu:
Imitation Learning from Purified Demonstrations. ICML 2024 - [c15]Yuheng Shi, Minjing Dong, Chang Xu:
Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model. NeurIPS 2024 - [i19]Yuheng Shi, Minjing Dong, Chang Xu:
Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model. CoRR abs/2405.14174 (2024) - [i18]Yuheng Shi, Minjing Dong, Mingjia Li, Chang Xu:
VSSD: Vision Mamba with Non-Casual State Space Duality. CoRR abs/2407.18559 (2024) - [i17]Hefei Mei, Minjing Dong, Chang Xu:
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness. CoRR abs/2408.08502 (2024) - [i16]Chengze Jiang, Junkai Wang, Minjing Dong, Jie Gui, Xinli Shi, Yuan Cao, Yuan Yan Tang, James Tin-Yau Kwok:
Improving Fast Adversarial Training via Self-Knowledge Guidance. CoRR abs/2409.17589 (2024) - [i15]Linwei Tao, Haolan Guo, Minjing Dong, Chang Xu:
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors. CoRR abs/2410.12295 (2024) - [i14]Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu:
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Model. CoRR abs/2410.18639 (2024) - [i13]Linwei Tao, Minjing Dong, Chang Xu:
Feature Clipping for Uncertainty Calibration. CoRR abs/2410.19796 (2024) - [i12]Yuheng Shi, Minjing Dong, Chang Xu:
Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation. CoRR abs/2411.09219 (2024) - 2023
- [j6]Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu:
Neural Architecture Search via Proxy Validation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7595-7610 (2023) - [j5]Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu:
Improving Lightweight AdderNet via Distillation From ℓ2 to ℓ1-norm. IEEE Trans. Image Process. 32: 5524-5536 (2023) - [j4]Shuo Yang, Minjing Dong, Yunhe Wang, Chang Xu:
Adversarial Recurrent Time Series Imputation. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1639-1650 (2023) - [j3]Minjing Dong, Chang Xu:
Skeleton-Based Human Motion Prediction With Privileged Supervision. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10419-10432 (2023) - [c14]Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu:
Neural Architecture Search for Wide Spectrum Adversarial Robustness. AAAI 2023: 442-451 - [c13]Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu:
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. AAAI 2023: 2938-2946 - [c12]Minjing Dong, Chang Xu:
Adversarial Robustness via Random Projection Filters. CVPR 2023: 4077-4086 - [c11]Linwei Tao, Minjing Dong, Chang Xu:
Dual Focal Loss for Calibration. ICML 2023: 33833-33849 - [c10]Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu:
Calibrating a Deep Neural Network with Its Predecessors. IJCAI 2023: 4271-4279 - [c9]Yanxiang Ma, Minjing Dong, Chang Xu:
Adversarial Robustness through Random Weight Sampling. NeurIPS 2023 - [i11]Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu:
Calibrating a Deep Neural Network with Its Predecessors. CoRR abs/2302.06245 (2023) - [i10]Bo Han, Hao Peng, Minjing Dong, Chang Xu, Yi Ren, Yixuan Shen, Yuheng Li:
AMD: Autoregressive Motion Diffusion. CoRR abs/2305.09381 (2023) - [i9]Linwei Tao, Minjing Dong, Chang Xu:
Dual Focal Loss for Calibration. CoRR abs/2305.13665 (2023) - [i8]Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu:
Neural Architecture Retrieval. CoRR abs/2307.07919 (2023) - [i7]Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu:
A Benchmark Study on Calibration. CoRR abs/2308.11838 (2023) - [i6]Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu:
Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization. CoRR abs/2309.09480 (2023) - [i5]Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu:
Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks. CoRR abs/2309.16207 (2023) - [i4]Yunke Wang, Minjing Dong, Bo Du, Chang Xu:
Imitation Learning from Purified Demonstration. CoRR abs/2310.07143 (2023) - 2022
- [j2]Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang, Chang Xu:
Neural architecture tuning with policy adaptation. Neurocomputing 485: 196-204 (2022) - [c8]Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu:
Spatial-Channel Token Distillation for Vision MLPs. ICML 2022: 12685-12695 - [c7]Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu:
Random Normalization Aggregation for Adversarial Defense. NeurIPS 2022 - [i3]Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chang Xu:
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. CoRR abs/2210.14670 (2022) - 2021
- [c6]Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang:
An Empirical Study of Adder Neural Networks for Object Detection. NeurIPS 2021: 6894-6905 - [c5]Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu:
Towards Stable and Robust AdderNets. NeurIPS 2021: 13255-13265 - [c4]Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu:
Handling Long-tailed Feature Distribution in AdderNets. NeurIPS 2021: 17902-17912 - [i2]Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang:
An Empirical Study of Adder Neural Networks for Object Detection. CoRR abs/2112.13608 (2021) - 2020
- [c3]Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu:
Neural Architecture Search in A Proxy Validation Loss Landscape. ICML 2020: 5853-5862 - [i1]Minjing Dong, Yanxi Li, Yunhe Wang, Chang Xu:
Adversarially Robust Neural Architectures. CoRR abs/2009.00902 (2020)
2010 – 2019
- 2019
- [j1]Minjing Dong, Chang Xu:
Spatial-Temporal Attention-Based Human Dynamics Retrospection. IEEE Access 7: 107300-107310 (2019) - [c2]Minjing Dong, Chang Xu:
On Retrospecting Human Dynamics with Attention. IJCAI 2019: 708-714 - [c1]Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu:
Crafting Efficient Neural Graph of Large Entropy. IJCAI 2019: 2244-2250
Coauthor Index
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