ML Anthology

Dong, Minjing

30 publications

ICML 2025 Adversarial Robustness via Deformable Convolution with Stochasticity Yanxiang Ma, Zixuan Huang, Minjing Dong, Shan You, Chang Xu
ICCV 2025 Backdooring Self-Supervised Contrastive Learning by Noisy Alignment Tuo Chen, Jie Gui, Minjing Dong, Ju Jia, Lanting Fang, Jian Liu
ICML 2025 Beyond One-Hot Labels: Semantic Mixing for Model Calibration Haoyang Luo, Linwei Tao, Minjing Dong, Chang Xu
ICLR 2025 Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu
AAAI 2025 Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness Hefei Mei, Minjing Dong, Chang Xu
NeurIPS 2025 Efficient Rectified Flow for Image Fusion Zirui Wang, Jiayi Zhang, Tianwei Guan, Yuhan Zhou, Xingyuan Li, Minjing Dong, Jinyuan Liu
AAAI 2025 Feature Clipping for Uncertainty Calibration Linwei Tao, Minjing Dong, Chang Xu
ICCV 2025 Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation Yuheng Shi, Minjing Dong, Chang Xu
CVPR 2025 Uncertainty Weighted Gradients for Model Calibration Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu
ICCV 2025 VSSD: Vision Mamba with Non-Causal State Space Duality Yuheng Shi, Mingjia Li, Minjing Dong, Chang Xu
ICLR 2024 A Benchmark Study on Calibration Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu
AAAI 2024 AMD: Autoregressive Motion Diffusion Bo Han, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, Chang Xu
ICML 2024 Imitation Learning from Purified Demonstrations Yunke Wang, Minjing Dong, Yukun Zhao, Bo Du, Chang Xu
NeurIPS 2024 Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model Yuheng Shi, Minjing Dong, Chang Xu
ICLR 2024 Neural Architecture Retrieval Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu
CVPR 2024 Random Entangled Tokens for Adversarially Robust Vision Transformer Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu
NeurIPS 2023 Adversarial Robustness Through Random Weight Sampling Yanxiang Ma, Minjing Dong, Chang Xu
CVPR 2023 Adversarial Robustness via Random Projection Filters Minjing Dong, Chang Xu
AAAI 2023 Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu
IJCAI 2023 Calibrating a Deep Neural Network with Its Predecessors Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu
ICML 2023 Dual Focal Loss for Calibration Linwei Tao, Minjing Dong, Chang Xu
AAAI 2023 Neural Architecture Search for Wide Spectrum Adversarial Robustness Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu
NeurIPS 2022 Random Normalization Aggregation for Adversarial Defense Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu
ICML 2022 Spatial-Channel Token Distillation for Vision MLPs Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu
NeurIPS 2021 An Empirical Study of Adder Neural Networks for Object Detection Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang
NeurIPS 2021 Handling Long-Tailed Feature Distribution in AdderNets Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu
NeurIPS 2021 Towards Stable and Robust AdderNets Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu
ICML 2020 Neural Architecture Search in a Proxy Validation Loss Landscape Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu
IJCAI 2019 Crafting Efficient Neural Graph of Large Entropy Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu
IJCAI 2019 On Retrospecting Human Dynamics with Attention Minjing Dong, Chang Xu