Minjing Dong

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 37

Top Topics

Motion Prediction

State Space Model

Neural Architecture

Top Venues

Publications

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 (2024)
Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu
A Benchmark Study on Calibration. ICLR (2024)
Bo Han, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, Chang Xu
AMD: Autoregressive Motion Diffusion. AAAI (2024)
Yuheng Shi, Minjing Dong, Mingjia Li, Chang Xu
VSSD: Vision Mamba with Non-Casual State Space Duality. CoRR (2024)
Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu
Neural Architecture Retrieval. ICLR (2024)
Yuheng Shi, Minjing Dong, Chang Xu
Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model. CoRR (2024)
Linwei Tao, Minjing Dong, Chang Xu
Dual Focal Loss for Calibration. ICML (2023)
Bo Han, Hao Peng, Minjing Dong, Chang Xu, Yi Ren, Yixuan Shen, Yuheng Li
AMD: Autoregressive Motion Diffusion. CoRR (2023)
Minjing Dong, Chang Xu
Adversarial Robustness via Random Projection Filters. CVPR (2023)
Shuo Yang, Minjing Dong, Yunhe Wang, Chang Xu
Adversarial Recurrent Time Series Imputation. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Yunke Wang, Minjing Dong, Bo Du, Chang Xu
Imitation Learning from Purified Demonstration. CoRR (2023)
Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu
Calibrating a Deep Neural Network with Its Predecessors. IJCAI (2023)
Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu
Neural Architecture Search for Wide Spectrum Adversarial Robustness. AAAI (2023)
Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu
-norm. IEEE Trans. Image Process. 32 (2023)
Yanxiang Ma, Minjing Dong, Chang Xu
Adversarial Robustness through Random Weight Sampling. NeurIPS (2023)
Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. AAAI (2023)
Linwei Tao, Minjing Dong, Chang Xu
Dual Focal Loss for Calibration. CoRR (2023)
Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu
Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks. CoRR (2023)
Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu
Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization. CoRR (2023)
Minjing Dong, Chang Xu
Skeleton-Based Human Motion Prediction With Privileged Supervision. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu
Neural Architecture Search via Proxy Validation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu
Calibrating a Deep Neural Network with Its Predecessors. CoRR (2023)
Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu
A Benchmark Study on Calibration. CoRR (2023)
Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu
Neural Architecture Retrieval. CoRR (2023)
Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu
Spatial-Channel Token Distillation for Vision MLPs. ICML (2022)
Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang, Chang Xu
Neural architecture tuning with policy adaptation. Neurocomputing 485 (2022)
Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu
Random Normalization Aggregation for Adversarial Defense. NeurIPS (2022)
Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chang Xu
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. CoRR (2022)
Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang
An Empirical Study of Adder Neural Networks for Object Detection. NeurIPS (2021)
Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu
Towards Stable and Robust AdderNets. NeurIPS (2021)
Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu
Handling Long-tailed Feature Distribution in AdderNets. NeurIPS (2021)
Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang
An Empirical Study of Adder Neural Networks for Object Detection. CoRR (2021)
Minjing Dong, Yanxi Li, Yunhe Wang, Chang Xu
Adversarially Robust Neural Architectures. CoRR (2020)
Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu
Neural Architecture Search in A Proxy Validation Loss Landscape. ICML (2020)
Minjing Dong, Chang Xu
On Retrospecting Human Dynamics with Attention. IJCAI (2019)
Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu
Crafting Efficient Neural Graph of Large Entropy. IJCAI (2019)
Minjing Dong, Chang Xu
Spatial-Temporal Attention-Based Human Dynamics Retrospection. IEEE Access 7 (2019)