Junhao Dong - RankMe

51 papers A* 10A 2B 1Journal 32Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AR-MAP: Are Autoregressive Large Language Models Implicit Teachers for Diffusion Large Language Models? CoRR Liang Lin, Feng Xiong, Zengbin Wang, Kun Wang, Junhao Dong, Xuecai Hu, Yong Wang, Xiangxiang Chu
2026	J	`jnl`	Artwork protection against unauthorized neural style transfer and aesthetic color distance metric. Pattern Recognit. Zhongliang Guo, Yifei Qian, Shuai Zhao, Junhao Dong, Yanli Li, Ognjen Arandjelovic, Lei Fang, Chun Pong Lau
2026	J	`jnl`	Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks. CoRR Tian Zhang, Yujia Tong, Junhao Dong, Ke Xu, Yuze Wang, Jingling Yuan
2026	J	`jnl`	Noise-Aware and Dynamically Adaptive Federated Defense Framework for SAR Image Target Recognition. CoRR Yuchao Hou, Zixuan Zhang, Jie Wang, Wenke Huang, Lianhui Liang, Di Wu, Zhiquan Liu, Youliang Tian, Jianming Zhu, Jisheng Dang, Junhao Dong, Zhongliang Guo
2026	J	`jnl`	Omni-Safety under Cross-Modality Conflict: Vulnerabilities, Dynamics Mechanisms and Efficient Alignment. CoRR Kun Wang, Zherui Li, Zhenhong Zhou, Yitong Zhang, Yan Mi, Kun Yang, Yiming Zhang, Junhao Dong, Zhongxiang Sun, Qiankun Li, Yang Liu
2026	J	`jnl`	SwiftDistill: Efficient robust knowledge transfer via dual-branch adversarial distillation and hardness-balanced augmentation. Pattern Recognit. Junhao Dong, Yuqing Wen, Zhengdao Li, Weijun Gao, Zhixuan Zhang, Siheng Wang, Xinghua Qu, Yew-Soon Ong
2026	A*	`conf`	TouchFormer: A Robust Transformer-based Framework for Multimodal Material Perception. AAAI Kailin Lyu, Long Xiao, Jianing Zeng, Junhao Dong, Xuexin Liu, Zhuojun Zou, Haoyue Yang, Lin Shu, Jie Hao
2025	J	`jnl`	A Systematic Study of Model Extraction Attacks on Graph Foundation Models. CoRR Haoyan Xu, Ruizhi Qian, Jiate Li, Yushun Dong, Minghao Lin, Hanson Yan, Zhengtao Yao, Qinghua Liu, Junhao Dong, Ruopeng Huang, Yue Zhao, Mengyuan Li
2025	J	`jnl`	AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models. CoRR Yuqi Li, Chuanguang Yang, Junhao Dong, Zhengtao Yao, Haoyan Xu, Zeyu Dong, Hansheng Zeng, Zhulin An, Yingli Tian
2025	A*	`conf`	BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning. CVPR Hao Zhu, Yifei Zhang, Junhao Dong, Piotr Koniusz
2025	J	`jnl`	Can LLMs Refuse Questions They Do Not Know? Measuring Knowledge-Aware Refusal in Factual Tasks. CoRR Wenbo Pan, Jie Xu, Qiguang Chen, Junhao Dong, Libo Qin, Xinfeng Li, Haining Yu, Xiaohua Jia
2025	J	`jnl`	ChromouVQA: Benchmarking Vision-Language Models under Chromatic Camouflaged Images. CoRR Yunfei Zhang, Yizhuo He, Yuanxun Shao, Zhengtao Yao, Haoyan Xu, Junhao Dong, Zhen Yao, Zhikang Dong
2025	A*	`conf`	Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment. CVPR Weiming Liu, Jun Dan, Fan Wang, Xinting Liao, Junhao Dong, Hua Yu, Shunjie Dong, Lianyong Qi
2025	J	`jnl`	Generalizable and Discriminative Representations for Adversarially Robust Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. Junhao Dong, Yuan Wang, Xiaohua Xie, Jianhuang Lai, Yew-Soon Ong
2025	J	`jnl`	Imperceptible diffusion modification for facial privacy protection. Neurocomputing Jia Li, Junhao Dong, Jianhuang Lai, Xiaohua Xie
2025	A*	`conf`	Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices. ICML Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong
2025	J	`jnl`	JEPA-T: Joint-Embedding Predictive Architecture with Text Fusion for Image Generation. CoRR Siheng Wang, Zhengtao Yao, Zhengdao Li, Junhao Dong, Yanshu Li, Yikai Li, Linshan Li, Haoyan Xu, Yijiang Li, Zhikang Dong, Huacan Wang, Jifeng Shen
2025	J	`jnl`	MMT-ARD: Multimodal Multi-Teacher Adversarial Distillation for Robust Vision-Language Models. CoRR Yuqi Li, Junhao Dong, Chuanguang Yang, Shiping Wen, Piotr Koniusz, Tingwen Huang, Yingli Tian, Yew-Soon Ong
2025	A*	`conf`	Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking. CVPR Junxi Chen, Junhao Dong, Xiaohua Xie
2025	J	`jnl`	Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking. CoRR Junxi Chen, Junhao Dong, Xiaohua Xie
2025	J	`jnl`	Mitigating Group-Level Fairness Disparities in Federated Visual Language Models. CoRR Chaomeng Chen, Zitong Yu, Junhao Dong, Sen Su, Linlin Shen, Shutao Xia, Xiaochun Cao
2025	J	`jnl`	OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment. CoRR Liang Lin, Zhihao Xu, Junhao Dong, Jian Zhao, Yuchen Yuan, Guibin Zhang, Miao Yu, Yiming Zhang, Zhengtao Yao, Huahui Yi, Dongrui Liu, Xinfeng Li, Kun Wang
2025	J	`jnl`	Releasing Inequality Phenomenon in ℓ IEEE Trans. Inf. Forensics Secur. Junxi Chen, Junhao Dong, Xiaohua Xie, Jianhuang Lai
2025	J	`jnl`	SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation. CoRR Yuqi Li, Junhao Dong, Zeyu Dong, Chuanguang Yang, Zhulin An, Yongjun Xu
2025	J	`jnl`	SepPrune: Structured Pruning for Efficient Deep Speech Separation. CoRR Yuqi Li, Kai Li, Xin Yin, Zhifei Yang, Junhao Dong, Zeyu Dong, Chuanguang Yang, Yingli Tian, Yao Lu
2025	—	`conf`	Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs. KDD (1) Junhao Dong, Piotr Koniusz, Xinghua Qu, Yew-Soon Ong
2025	J	`jnl`	Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges. ACM Comput. Surv. Junhao Dong, Junxi Chen, Xiaohua Xie, Jianhuang Lai, Hao Chen
2025	J	`jnl`	TouchFormer: A Robust Transformer-based Framework for Multimodal Material Perception. CoRR Kailin Lyu, Long Xiao, Jianing Zeng, Junhao Dong, Xuexin Liu, Zhuojun Zou, Haoyue Yang, Lin Shu, Jie Hao
2024	J	`jnl`	A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse. CoRR Zhongliang Guo, Lei Fang, Jingyu Lin, Yifei Qian, Shuai Zhao, Zeyu Wang, Junhao Dong, Cunjian Chen, Ognjen Arandjelovic, Chun Pong Lau
2024	—	`conf`	Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap. ECCV (4) Junhao Dong, Piotr Koniusz, Junxi Chen, Yew-Soon Ong
2024	A*	`conf`	Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners. CVPR Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong
2024	A	`conf`	Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack. ECAI Zhongliang Guo, Junhao Dong, Yifei Qian, Kaixuan Wang, Weiye Li, Ziheng Guo, Yuheng Wang, Yanli Li, Ognjen Arandjelovic, Lei Fang
2024	J	`jnl`	Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training. CoRR Junhao Dong, Xinghua Qu, Z. Jane Wang, Yew-Soon Ong
2024	J	`jnl`	Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability. CoRR Junxi Chen, Junhao Dong, Xiaohua Xie
2024	A*	`conf`	FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs. ACM Multimedia Haodong Chen, Haojian Huang, Junhao Dong, Mingzhe Zheng, Dian Shao
2024	J	`jnl`	FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs. CoRR Haodong Chen, Haojian Huang, Junhao Dong, Mingzhe Zheng, Dian Shao
2024	A*	`conf`	Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples. CVPR Junhao Dong, Piotr Koniusz, Junxi Chen, Z. Jane Wang, Yew-Soon Ong
2024	—	`conf`	Towards Adversarially Robust Data-Efficient Learning with Generated Data. CAI Junhao Dong, Melvin Wong, Sihan Xia, Joel Wei En Tay
2023	J	`jnl`	Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications. CoRR Junhao Dong, Junxi Chen, Xiaohua Xie, Jianhuang Lai, Hao Chen
2023	—	`conf`	Feature Disentanglement and Adaptive Fusion for Improving Multi-modal Tracking. PRCV (12) Zheng Li, Weibo Cai, Junhao Dong, Jianhuang Lai, Xiaohua Xie
2023	—	`conf`	Modality Balancing Mechanism for RGB-Infrared Object Detection in Aerial Image. PRCV (12) Weibo Cai, Zheng Li, Junhao Dong, Jianhuang Lai, Xiaohua Xie
2023	J	`jnl`	Releasing Inequality Phenomena in L CoRR Junxi Chen, Junhao Dong, Xiaohua Xie
2023	J	`jnl`	Restricted Black-Box Adversarial Attack Against DeepFake Face Swapping. IEEE Trans. Inf. Forensics Secur. Junhao Dong, Yuan Wang, Jianhuang Lai, Xiaohua Xie
2023	A*	`conf`	The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training. CVPR Junhao Dong, Seyed-Mohsen Moosavi-Dezfooli, Jianhuang Lai, Xiaohua Xie
2023	J	`jnl`	Toward Intrinsic Adversarial Robustness Through Probabilistic Training. IEEE Trans. Image Process. Junhao Dong, Lingxiao Yang, Yuan Wang, Xiaohua Xie, Jianhuang Lai
2022	A*	`conf`	Improving Adversarially Robust Few-shot Image Classification with Generalizable Representations. CVPR Junhao Dong, Yuan Wang, Jianhuang Lai, Xiaohua Xie
2022	B	`conf`	Learning Bi-directional Feature Propagation with Latent Layout Modeling for Group Re-identification. ICPR Yuan Wang, Quan Zhang, Jianhuang Lai, Xiaohua Xie, Junhao Dong
2022	J	`jnl`	Restricted Black-box Adversarial Attack Against DeepFake Face Swapping. CoRR Junhao Dong, Yuan Wang, Jianhuang Lai, Xiaohua Xie
2022	J	`jnl`	The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training. CoRR Junhao Dong, Seyed-Mohsen Moosavi-Dezfooli, Jianhuang Lai, Xiaohua Xie
2021	—	`conf`	Adversarial Training Inspired Self-attention Flow for Universal Image Style Transfer. ACPR (2) Kaiheng Dang, Jianhuang Lai, Junhao Dong, Xiaohua Xie
2021	A	`conf`	Visually Maintained Image Disturbance Against Deepfake Face Swapping. ICME Junhao Dong, Xiaohua Xie