Minjing Dong

Orcid: 0009-0003-1717-818X

According to our database¹, Minjing Dong authored at least 67 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2026

Gradient Perturbation Guidance for Boosting Sparse Adversarial Attack Transferability.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., May, 2026

Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2026

Confidence Calibration under Ambiguous Ground Truth.

[BibT_eX]

[DOI]

CoRR, March, 2026

PA-Attack: Guiding Gray-Box Attacks on LVLM Vision Encoders with Prototypes and Attention.

[BibT_eX]

[DOI]

CoRR, February, 2026

Rethinking Frequency Modeling: Tail-Aware Dynamic Adversarial Training for Long-Tailed Robustness.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2026

Improving Fast Adversarial Training Paradigm: An Example Taxonomy Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2026

Diversifying Counterattacks: Orthogonal Exploration for Robust CLlP Inference.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Diversifying Counterattacks: Orthogonal Exploration for Robust CLIP Inference.

[BibT_eX]

[DOI]

CoRR, November, 2025

Can Large Language Models Express Uncertainty Like Human?

[BibT_eX]

[DOI]

CoRR, September, 2025

Catching the Details: Self-Distilled RoI Predictors for Fine-Grained MLLM Perception.

[BibT_eX]

[DOI]

CoRR, September, 2025

Efficient Rectified Flow for Image Fusion.

[BibT_eX]

[DOI]

CoRR, September, 2025

Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling.

[BibT_eX]

[DOI]

CoRR, June, 2025

Sample Margin-Aware Recalibration of Temperature Scaling.

[BibT_eX]

[DOI]

CoRR, June, 2025

Adversarially Robust Neural Architectures.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

Revisiting Uncertainty Estimation and Calibration of Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

VEAttack: Downstream-agnostic Vision Encoder Attack against Large Vision Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions.

[BibT_eX]

[DOI]

CoRR, April, 2025

Survey of Adversarial Robustness in Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, March, 2025

Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration.

[BibT_eX]

[DOI]

CoRR, February, 2025

Exploring the Coordination of Frequency and Attention in Masked Image Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2025

Divide and Conquer: Frequency-Aware Contrastive Adversarial Training for Robust Point Cloud Classification.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Improving Fast Adversarial Training via Self-Knowledge Guidance.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Workshop on Sustainable AI for the Future Web.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Adversarial Robustness via Deformable Convolution with Stochasticity.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Beyond One-Hot Labels: Semantic Mixing for Model Calibration.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VSSD: Vision Mamba With Non-Causal State Space Duality.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation.

[BibT_eX]

[DOI]

Yuheng Shi

Minjing Dong

Chang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Backdooring Self-Supervised Contrastive Learning by Noisy Alignment.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Uncertainty Weighted Gradients for Model Calibration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Feature Clipping for Uncertainty Calibration.

[BibT_eX]

[DOI]

Linwei Tao

Minjing Dong

Chang Xu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness.

[BibT_eX]

[DOI]

Hefei Mei

Minjing Dong

Chang Xu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation.

[BibT_eX]

[DOI]

Yuheng Shi

Minjing Dong

Chang Xu

CoRR, 2024

Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Model.

[BibT_eX]

[DOI]

CoRR, 2024

Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors.

[BibT_eX]

[DOI]

CoRR, 2024

VSSD: Vision Mamba with Non-Casual State Space Duality.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model.

[BibT_eX]

[DOI]

Yuheng Shi

Minjing Dong

Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Imitation Learning from Purified Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Benchmark Study on Calibration.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Architecture Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Random Entangled Tokens for Adversarially Robust Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AMD: Autoregressive Motion Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Skeleton-Based Human Motion Prediction With Privileged Supervision.

[BibT_eX]

[DOI]

Minjing Dong

Chang Xu

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Neural Architecture Search via Proxy Validation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Adversarial Recurrent Time Series Imputation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Improving Lightweight AdderNet via Distillation From ℓ<sub>2</sub> to ℓ<sub>1</sub>-norm.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Imitation Learning from Purified Demonstration.

[BibT_eX]

[DOI]

CoRR, 2023

Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks.

[BibT_eX]

[DOI]

CoRR, 2023

AMD: Autoregressive Motion Diffusion.

[BibT_eX]

[DOI]

CoRR, 2023

Adversarial Robustness through Random Weight Sampling.

[BibT_eX]

[DOI]

Yanxiang Ma

Minjing Dong

Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Calibrating a Deep Neural Network with Its Predecessors.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Dual Focal Loss for Calibration.

[BibT_eX]

[DOI]

Linwei Tao

Minjing Dong

Chang Xu

Proceedings of the International Conference on Machine Learning, 2023

Adversarial Robustness via Random Projection Filters.

[BibT_eX]

[DOI]

Minjing Dong

Chang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Neural Architecture Search for Wide Spectrum Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Neural architecture tuning with policy adaptation.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations.

[BibT_eX]

[DOI]

CoRR, 2022

Random Normalization Aggregation for Adversarial Defense.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Spatial-Channel Token Distillation for Vision MLPs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Handling Long-tailed Feature Distribution in AdderNets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Stable and Robust AdderNets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Empirical Study of Adder Neural Networks for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Neural Architecture Search in A Proxy Validation Loss Landscape.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Spatial-Temporal Attention-Based Human Dynamics Retrospection.

[BibT_eX]

[DOI]

Minjing Dong

Chang Xu

IEEE Access, 2019

On Retrospecting Human Dynamics with Attention.

[BibT_eX]

[DOI]

Minjing Dong

Chang Xu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Crafting Efficient Neural Graph of Large Entropy.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Minjing Dong

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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