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Minjing Dong

30 papers · 2019–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11)
🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (49) 🧬 Topic Evolution πŸ‘‘ Triple Crown 🀝 Dynamic Duo (28) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (111) πŸ’Ž Century Club (29) ⚑ Prolific Year (6) πŸ”₯ Unstoppable (7)

Conferences

AAAI (6) ICML (6) NIPS (6) CVPR (3) ICCV (3) ICLR (3) IJCAI (3)

Top co-authors

Chang Xu (28) Yunhe Wang (7) Linwei Tao (7) Xinghao Chen (5) Yanxi Li (4) Shan You (3) Yuheng Shi (3) Jie Gui (2) Jinxu Lin (2) Yanxiang Ma (2)

Research topics

Privacy (1)

Keywords

adversarial robustness (8) semantic segmentation (4) model calibration (4) image classification (4) adversarial defense (3) deep neural network (3) model compression (3) adder neural network (3) adversarial attack (3) convolutional neural network (2) uncertainty estimation (2) diffusion model (2) contrastive learning (2) energy efficiency (2) neural network optimization (2) batch normalization (2) neural architecture search (2) object detection (2) efficient computing (2) state space model (2)

Papers

Diversifying Counterattacks: Orthogonal Exploration for Robust CLlP Inference AAAI 2026 VSSD: Vision Mamba with Non-Causal State Space Duality ICCV 2025 Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness AAAI 2025 Feature Clipping for Uncertainty Calibration AAAI 2025 Uncertainty Weighted Gradients for Model Calibration CVPR 2025 Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation ICCV 2025 Backdooring Self-Supervised Contrastive Learning by Noisy Alignment ICCV 2025 Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models ICLR 2025 Beyond One-Hot Labels: Semantic Mixing for Model Calibration ICML 2025 Adversarial Robustness via Deformable Convolution with Stochasticity ICML 2025 Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model NIPS 2024 Neural Architecture Retrieval ICLR 2024 A Benchmark Study on Calibration ICLR 2024 Random Entangled Tokens for Adversarially Robust Vision Transformer CVPR 2024 Imitation Learning from Purified Demonstrations ICML 2024 AMD: Autoregressive Motion Diffusion AAAI 2024 Dual Focal Loss for Calibration ICML 2023 Adversarial Robustness via Random Projection Filters CVPR 2023 Calibrating a Deep Neural Network with Its Predecessors IJCAI 2023 Adversarial Robustness through Random Weight Sampling NIPS 2023 Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023 Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations AAAI 2023 Spatial-Channel Token Distillation for Vision MLPs ICML 2022 Random Normalization Aggregation for Adversarial Defense NIPS 2022 Handling Long-tailed Feature Distribution in AdderNets NIPS 2021 An Empirical Study of Adder Neural Networks for Object Detection NIPS 2021 Towards Stable and Robust AdderNets NIPS 2021 Neural Architecture Search in A Proxy Validation Loss Landscape ICML 2020 Crafting Efficient Neural Graph of Large Entropy IJCAI 2019 On Retrospecting Human Dynamics with Attention IJCAI 2019