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Minjing Dong

31 papers · 2019–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (58) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ† Grand Slam 🀝 Dynamic Duo (29) πŸ‘‘ Triple Crown ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5) πŸ—ƒοΈ Keyword Collector (137)

Venues

AAAI (6) ICML (6) NeurIPS (6) CVPR (4) ICCV (3) ICLR (3) IJCAI (3)

Top co-authors

Chang Xu (29) 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

Machine Learning (25) Deep Learning (24) Learning Types Β· Machine Learning (15) Artificial Intelligence (13) Core AI Β· Artificial Intelligence (13) Optimization & Theory Β· Machine Learning (13) Architectures (12) Computer Vision (10) Optimization & Theory Β· Deep Learning (8) Analysis (7) Learning Types Β· Deep Learning (7) Application Areas (6) Core AI Β· Computer Vision (5) Core Methods (5) Models (5)

Keywords

adversarial robustness (9) neural architecture search (4) model calibration (4) semantic segmentation (4) image classification (4) diffusion model (4) adversarial attack (4) deep neural network (3) model compression (3) adversarial defense (3) contrastive learning (3) adder neural network (3) convolutional neural network (2) state space model (2) efficient computing (2) batch normalization (2) adversarial training (2) object detection (2) attention mechanism (2) neural network optimization (2)

Papers

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