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ORCIDJunhao Dong 0001
Person information
- affiliation: Nanyang Technological University, College of Computing and Data Science, Singapore
- affiliation: Agency for Science Technology and Research (A*STAR), Singapore
- affiliation: Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China
Other persons with the same name
- Junhao Dong 0002
![[0000-0001-9544-8614]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9544-8614")
— Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing, China - Junhao Dong 0003 — University of Hong Kong, Department of Mechanical Engineering, Hong Kong
- Junhao Dong 0004 — Amazon Web Services, Inc., Seattle, WA, USA (and 1 more)
- Junhao Dong 0005 — China University of Geosciences, School of Artificial Intelligence, Beijing, China
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2020 – today
- 2027
[j13]Li Yang, Xiaowen Cai, Shuqin Chen, Junhao Dong, Keke Tang, Zhongliang Guo, Daizong Liu:
Rethinking 3D point cloud adversarial attacks from models' inherent focus. Expert Syst. Appl. 332: 133660 (2027)- 2026
- [j12]Yuqi Li, Junhao Dong, Hansheng Zeng, Fuyan Zhang, Zeyu Dong, Chuanguang Yang, Yingli Tian:
Towards robust medical image segmentation: Spectro-spatial domain generalization with MRAM and DMIR. Comput. Vis. Image Underst. 270: 104822 (2026) - [j11]Junhao Dong, Raoof Zare Moayedi, Yew-Soon Ong, Seyed-Mohsen Moosavi-Dezfooli:
Allies Teach Better Than Enemies: Inverse Adversaries for Robust Knowledge Distillation. IEEE Trans. Pattern Anal. Mach. Intell. 48(6): 6557-6569 (2026) - [j10]Zhongliang Guo, Yifei Qian, Shuai Zhao, Junhao Dong, Yanli Li, Ognjen Arandjelovic, Lei Fang, Chun Pong Lau:
Artwork protection against unauthorized neural style transfer and aesthetic color distance metric. Pattern Recognit. 171: 112105 (2026) - [j9]Junhao Dong, Yuqing Wen, Zhengdao Li, Weijun Gao, Zhixuan Zhang, Siheng Wang, Xinghua Qu, Yew-Soon Ong:
SwiftDistill: Efficient robust knowledge transfer via dual-branch adversarial distillation and hardness-balanced augmentation. Pattern Recognit. 179: 113453 (2026) - [j8]Yuqi Li, Zijie Zhou, Zhiyuan Peng, Junhao Dong, Haochen You, Renye Yan, Shiping Wen, Yingli Tian, Tingwen Huang:
A Preference-Driven Methodology for Efficient Code Generation. IEEE Trans. Artif. Intell. 7(6): 3414-3428 (2026) - [j7]Daizong Liu, Yunbo Tao, Junhao Dong, Keke Tang, Pan Zhou, Wei Hu, Yew-Soon Ong:
Hard-Label Black-Box Attacks on 3D Point Clouds. IEEE Trans. Dependable Secur. Comput. 23(4): 9664-9681 (2026) - [c27]Kailin Lyu, Long Xiao, Jianing Zeng, Junhao Dong, Xuexin Liu, Zhuojun Zou, Haoyue Yang, Lin Shu, Jie Hao:
TouchFormer: A Robust Transformer-based Framework for Multimodal Material Perception. AAAI 2026: 18496-18504 - [c26]Zixuan Wang, Yinze Ding, Zihan Wang, Jinyu Guo, Zhenhong Zhou, Junhao Dong, Chaomeng Chen:
X-Router: Decoupling Knowledge and Reasoning for Cost-Effective LLM Inference. ACL (Findings) 2026: 19856-19874 - [c25]Huiran Duan, Qian Zhou, Zhongliang Guo, Junhao Dong, Yuqi Li, Guoying Zhao, Yingli Tian:
GaitProtector: Impersonation-Driven Gait De-Identification via Training-Free Diffusion Latent Optimization. FG 2026: 1-10 - [i39]Yuchao Hou, Zixuan Zhang, Jie Wang, Wenke Huang, Lianhui Liang, Di Wu, Zhiquan Liu, Youliang Tian, Jianming Zhu, Jisheng Dang, Junhao Dong, Zhongliang Guo:
Noise-Aware and Dynamically Adaptive Federated Defense Framework for SAR Image Target Recognition. CoRR abs/2601.00900 (2026) - [i38]Tian Zhang, Yujia Tong, Junhao Dong, Ke Xu, Yuze Wang, Jingling Yuan:
Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks. CoRR abs/2602.00567 (2026) - [i37]Liang Lin, Feng Xiong, Zengbin Wang, Kun Wang, Junhao Dong, Xuecai Hu, Yong Wang, Xiangxiang Chu:
AR-MAP: Are Autoregressive Large Language Models Implicit Teachers for Diffusion Large Language Models? CoRR abs/2602.02178 (2026) - [i36]Kun Wang, Zherui Li, Zhenhong Zhou, Yitong Zhang, Yan Mi, Kun Yang, Yiming Zhang, Junhao Dong, Zhongxiang Sun, Qiankun Li, Yang Liu:
Omni-Safety under Cross-Modality Conflict: Vulnerabilities, Dynamics Mechanisms and Efficient Alignment. CoRR abs/2602.10161 (2026) - [i35]Siheng Wang, Yanshu Li, Bohan Hu, Zhengdao Li, Haibo Zhan, Linshan Li, Weiming Liu, Ruizhi Qian, Guangxin Wu, Hao Zhang, Jifeng Shen, Piotr Koniusz, Zhengtao Yao, Junhao Dong, Qiang Sun:
DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection. CoRR abs/2604.02753 (2026) - [i34]Junhao Dong, Yifei Zhang, Hao Zhu, Yew-Soon Ong, Piotr Koniusz:
Hierarchically Robust Zero-shot Vision-language Models. CoRR abs/2604.18867 (2026) - [i33]Jialing Gan, Junhao Dong, Songze Li:
BiAxisAudit: A Novel Framework to Evaluate LLM Bias Across Prompt Sensitivity and Response-Layer Divergence. CoRR abs/2605.09041 (2026) - [i32]ShiYing Huang, Liang Lin, Yuer Li, Kaiwen Luo, Zhenhong Zhou, An Zhang, Junhao Dong, Kun Wang, Zhigang Zeng:
Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion. CoRR abs/2605.11679 (2026) - [i31]Huiran Duan, Qian Zhou, Zhongliang Guo, Junhao Dong, Yuqi Li, Guoying Zhao, Yingli Tian:
GaitProtector: Impersonation-Driven Gait De-Identification via Training-Free Diffusion Latent Optimization. CoRR abs/2605.12431 (2026) - [i30]Shen Lin, Jing Lin, Junhao Dong, Piotr Koniusz, Li Xu:
ICED: Concept-level Machine Unlearning via Interpretable Concept Decomposition. CoRR abs/2605.14309 (2026) - [i29]Shen Lin, Junhao Dong, Rongjie Chen, Xiaoyu Zhang, Li Xu, Xiaofeng Chen:
CATA: Continual Machine Unlearning via Conflict-Averse Task Arithmetic. CoRR abs/2605.18610 (2026) - [i28]Kaiwen Luo, Zhenhong Zhou, Leo Wang, Liang Lin, Yang Xiao, Tianyu Shao, Yuanhe Zhang, Yuxuan Li, Miao Yu, Kailin Lyu, Jiaming Zhang, Dongrui Liu, Li Sun, Yueming Wu, Kai Li, Ting Dang, Xiaojun Jia, Rohan Kumar Das, Xinfeng Li, Siyuan Liang, Qiufeng Wang, Xingjun Ma, Jing Chen, Kun Wang, Junhao Dong, Deqing Zou, Yu Cheng, Xia Hu, Zhigang Zeng, Sen Su, Yang Liu, Yu-Gang Jiang, Philip S. Yu, Yew-Soon Ong:
A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook. CoRR abs/2605.20266 (2026) - [i27]Junxi Chen, Junhao Dong, Xiaohua Xie:
Adaptive Probe-based Steering for Robust LLM Jailbreaking. CoRR abs/2605.20286 (2026) - [i26]Liang Lin, Chunxi Luo, Kaiwen Luo, Jie Zhang, Jin Wang, Yuanhe Zhang, Yuchen Cai, Qiankun Li, Gongli Xi, Zhenhong Zhou, Kun Wang, Junhao Dong:
EchoDistill:Alignment Noisy-to-Clean Self-Distillation for Robust Audio LLMs. CoRR abs/2605.23954 (2026) - [i25]Yujia Tong, Yuxi Wang, Yunyang Wan, Tian Zhang, Junhao Dong, Jingling Yuan:
Does Compression Preserve Uncertainty? A Unified Benchmark for Quantized and Sparse LLMs via Conformal Prediction. CoRR abs/2606.01850 (2026) - [i24]Zhengtao Yao, Runhao Li, Xupeng Chen, Jiayi Cheng, Chenqian Le, Michael Yue, Siheng Wang, Haoyan Xu, Yuqi Li, Chenhao Wei, Zhengdao Li, Rongchao Zhang, Guang Yang, Yidong Wang, Junhao Dong:
Less Data, Better Alignment: Data-Centric Multi-Evaluator Agreement for Preference Optimization. CoRR abs/2607.25136 (2026) - [i23]Zhengtao Yao, Runhao Li, Xupeng Chen, Jiayi Cheng, Chenqian Le, Michael Yue, Jesson Wang, Siheng Wang, Guang Yang, Haoyan Xu, Chenhao Wei, Zhengqing Yuan, Youran Shen, Yanfang Ye, Junhao Dong:
PreDiff-LM: Pretrained Discrete Masked Diffusion Language Modeling with Hybrid Attention. CoRR abs/2607.25157 (2026) - [i22]Jianwei He, Kailin Lyu, Junhao Dong, Long Xiao, Wenjie Hou, Jingze Lu, Di Wu, Lin Shu, Jie Hao:
MedXplore: Towards Reliable and Unbiased Generalized Category Discovery in Medical Imaging. CoRR abs/2607.27620 (2026) - [i21]Nguyen Duc Thai, Junhao Dong, Sua Qi Rong, Hua Yu, Yew-Soon Ong:
Unifying Adversarially Robust Model Experts in Vision-Language Models. CoRR abs/2607.27897 (2026) - 2025
- [j6]Junhao Dong, Junxi Chen, Xiaohua Xie, Jianhuang Lai, Hao Chen:
Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges. ACM Comput. Surv. 57(3): 79:1-79:38 (2025) - [j5]Jia Li, Junhao Dong, Jianhuang Lai, Xiaohua Xie:
Imperceptible diffusion modification for facial privacy protection. Neurocomputing 649: 130614 (2025) - [j4]Junxi Chen, Junhao Dong, Xiaohua Xie, Jianhuang Lai:
Releasing Inequality Phenomenon in ℓ∞-Norm Adversarial Training via Input Gradient Distillation. IEEE Trans. Inf. Forensics Secur. 20: 5632-5646 (2025) - [j3]Junhao Dong, Yuan Wang, Xiaohua Xie, Jianhuang Lai, Yew-Soon Ong:
Generalizable and Discriminative Representations for Adversarially Robust Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 36(3): 5480-5493 (2025) - [c24]Weiming Liu, Jun Dan, Fan Wang, Xinting Liao, Junhao Dong, Hua Yu, Shunjie Dong, Lianyong Qi:
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment. CVPR 2025: 4927-4938 - [c23]Junxi Chen, Junhao Dong, Xiaohua Xie:
Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking. CVPR 2025: 23785-23794 - [c22]Hao Zhu, Yifei Zhang, Junhao Dong, Piotr Koniusz:
BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning. CVPR 2025: 25613-25622 - [c21]Junhao Dong, Jiao Liu, Xinghua Qu, Yew-Soon Ong:
Confound from all Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness. ICCV 2025: 624-634 - [c20]Junhao Dong, Piotr Koniusz, Liaoyuan Feng, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong:
Robustifying Zero-Shot Vision Language Models by Subspaces Alignment. ICCV 2025: 21037-21047 - [c19]Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong:
Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices. ICML 2025 - [c18]Junhao Dong, Piotr Koniusz, Xinghua Qu, Yew-Soon Ong:
Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs. KDD (1) 2025: 236-247 - [c17]Junhao Dong, Cong Zhang, Xinghua Qu, Zejun Ma, Piotr Koniusz, Yew Soon Ong:
Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models. NeurIPS 2025 - [c16]Junhao Dong, Hao Zhu, Yifei Zhang, Xinghua Qu, Yew Soon Ong, Piotr Koniusz:
Machine Unlearning via Task Simplex Arithmetic. NeurIPS 2025 - [c15]Weiming Liu, Xinting Liao, Jun Dan, Fan Wang, Hua Yu, Junhao Dong, Shunjie Dong, Lianyong Qi, Yew Soon Ong:
Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization. NeurIPS 2025 - [c14]Yifei Zhang, Hao Zhu, Junhao Dong, Haoran Shi, Ziqiao Meng, Piotr Koniusz, Han Yu:
CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning. NeurIPS 2025 - [i20]Junxi Chen, Junhao Dong, Xiaohua Xie:
Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking. CoRR abs/2504.05838 (2025) - [i19]Chaomeng Chen, Zitong Yu, Junhao Dong, Sen Su, LinLin Shen, Shutao Xia, Xiaochun Cao:
Mitigating Group-Level Fairness Disparities in Federated Visual Language Models. CoRR abs/2505.01851 (2025) - [i18]Yuqi Li, Kai Li, Xin Yin, Zhifei Yang, Junhao Dong, Zeyu Dong, Chuanguang Yang, Yingli Tian, Yao Lu:
SepPrune: Structured Pruning for Efficient Deep Speech Separation. CoRR abs/2505.12079 (2025) - [i17]Yuqi Li, Junhao Dong, Zeyu Dong, Chuanguang Yang, Zhulin An, Yongjun Xu:
SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation. CoRR abs/2506.17290 (2025) - [i16]Yuqi Li, Chuanguang Yang, Junhao Dong, Zhengtao Yao, Haoyan Xu, Zeyu Dong, Hansheng Zeng, Zhulin An, Yingli Tian:
AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models. CoRR abs/2509.00039 (2025) - [i15]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:
OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment. CoRR abs/2509.24610 (2025) - [i14]Siheng Wang, Zhengtao Yao, Zhengdao Li, Junhao Dong, Yanshu Li, Yikai Li, Linshan Li, Haoyan Xu, Yijiang Li, Zhikang Dong, Huacan Wang, Jifeng Shen:
JEPA-T: Joint-Embedding Predictive Architecture with Text Fusion for Image Generation. CoRR abs/2510.00974 (2025) - [i13]Wenbo Pan, Jie Xu, Qiguang Chen, Junhao Dong, Libo Qin, Xinfeng Li, Haining Yu, Xiaohua Jia:
Can LLMs Refuse Questions They Do Not Know? Measuring Knowledge-Aware Refusal in Factual Tasks. CoRR abs/2510.01782 (2025) - [i12]Haoyan Xu, Ruizhi Qian, Jiate Li, Yushun Dong, Minghao Lin, Hanson Yan, Zhengtao Yao, Qinghua Liu, Junhao Dong, Ruopeng Huang, Yue Zhao, Mengyuan Li:
A Systematic Study of Model Extraction Attacks on Graph Foundation Models. CoRR abs/2511.11912 (2025) - [i11]Yuqi Li, Junhao Dong, Chuanguang Yang, Shiping Wen, Piotr Koniusz, Tingwen Huang, Yingli Tian, Yew-Soon Ong:
MMT-ARD: Multimodal Multi-Teacher Adversarial Distillation for Robust Vision-Language Models. CoRR abs/2511.17448 (2025) - [i10]Kailin Lyu, Long Xiao, Jianing Zeng, Junhao Dong, Xuexin Liu, Zhuojun Zou, Haoyue Yang, Lin Shu, Jie Hao:
TouchFormer: A Robust Transformer-based Framework for Multimodal Material Perception. CoRR abs/2511.19509 (2025) - [i9]Yunfei Zhang, Yizhuo He, Yuanxun Shao, Zhengtao Yao, Haoyan Xu, Junhao Dong, Zhen Yao, Zhikang Dong:
ChromouVQA: Benchmarking Vision-Language Models under Chromatic Camouflaged Images. CoRR abs/2512.05137 (2025) - 2024
- [c13]Junhao Dong, Piotr Koniusz, Junxi Chen, Z. Jane Wang, Yew-Soon Ong:
Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples. CVPR 2024: 28432-28442 - [c12]Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong:
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners. CVPR 2024: 28535-28544 - [c11]Zhongliang Guo, Junhao Dong, Yifei Qian, Kaixuan Wang, Weiye Li, Ziheng Guo, Yuheng Wang, Yanli Li, Ognjen Arandjelovic, Lei Fang:
Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack. ECAI 2024: 1414-1421 - [c10]Junhao Dong, Piotr Koniusz, Junxi Chen, Yew-Soon Ong:
Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap. ECCV (4) 2024: 92-111 - [c9]Junhao Dong, Melvin Wong, Sihan Xia, Joel Wei En Tay:
Towards Adversarially Robust Data-Efficient Learning with Generated Data. CAI 2024: 1422-1424 - [c8]Haodong Chen, Haojian Huang, Junhao Dong, Mingzhe Zheng, Dian Shao:
FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs. ACM Multimedia 2024: 2301-2310 - [i8]Junxi Chen, Junhao Dong, Xiaohua Xie:
Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability. CoRR abs/2401.07087 (2024) - [i7]Haodong Chen, Haojian Huang, Junhao Dong, Mingzhe Zheng, Dian Shao:
FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs. CoRR abs/2407.02157 (2024) - [i6]Zhongliang Guo, Lei Fang, Jingyu Lin, Yifei Qian, Shuai Zhao, Zeyu Wang, Junhao Dong, Cunjian Chen, Ognjen Arandjelovic, Chun Pong Lau:
A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse. CoRR abs/2408.10901 (2024) - [i5]Junhao Dong, Xinghua Qu, Z. Jane Wang, Yew-Soon Ong:
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training. CoRR abs/2411.02871 (2024) - 2023
- [j2]Junhao Dong, Yuan Wang, Jianhuang Lai, Xiaohua Xie:
Restricted Black-Box Adversarial Attack Against DeepFake Face Swapping. IEEE Trans. Inf. Forensics Secur. 18: 2596-2608 (2023) - [j1]Junhao Dong, Lingxiao Yang, Yuan Wang, Xiaohua Xie, Jianhuang Lai:
Toward Intrinsic Adversarial Robustness Through Probabilistic Training. IEEE Trans. Image Process. 32: 3862-3872 (2023) - [c7]Junhao Dong, Seyed-Mohsen Moosavi-Dezfooli, Jianhuang Lai, Xiaohua Xie:
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training. CVPR 2023: 24678-24687 - [c6]Zheng Li, Weibo Cai, Junhao Dong, Jianhuang Lai, Xiaohua Xie:
Feature Disentanglement and Adaptive Fusion for Improving Multi-modal Tracking. PRCV (12) 2023: 68-80 - [c5]Weibo Cai, Zheng Li, Junhao Dong, Jianhuang Lai, Xiaohua Xie:
Modality Balancing Mechanism for RGB-Infrared Object Detection in Aerial Image. PRCV (12) 2023: 81-93 - [i4]Junhao Dong, Junxi Chen, Xiaohua Xie, Jianhuang Lai, Hao Chen:
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications. CoRR abs/2303.14133 (2023) - [i3]Junxi Chen, Junhao Dong, Xiaohua Xie:
Releasing Inequality Phenomena in L∞-Adversarial Training via Input Gradient Distillation. CoRR abs/2305.09305 (2023) - 2022
- [c4]Junhao Dong, Yuan Wang, Jianhuang Lai, Xiaohua Xie:
Improving Adversarially Robust Few-shot Image Classification with Generalizable Representations. CVPR 2022: 9015-9024 - [c3]Yuan Wang, Quan Zhang, Jianhuang Lai, Xiaohua Xie, Junhao Dong:
Learning Bi-directional Feature Propagation with Latent Layout Modeling for Group Re-identification. ICPR 2022: 907-913 - [i2]Junhao Dong, Yuan Wang, Jianhuang Lai, Xiaohua Xie:
Restricted Black-box Adversarial Attack Against DeepFake Face Swapping. CoRR abs/2204.12347 (2022) - [i1]Junhao Dong, Seyed-Mohsen Moosavi-Dezfooli, Jianhuang Lai, Xiaohua Xie:
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training. CoRR abs/2211.00525 (2022) - 2021
- [c2]Kaiheng Dang, Jianhuang Lai, Junhao Dong, Xiaohua Xie:
Adversarial Training Inspired Self-attention Flow for Universal Image Style Transfer. ACPR (2) 2021: 476-489 - [c1]Junhao Dong, Xiaohua Xie:
Visually Maintained Image Disturbance Against Deepfake Face Swapping. ICME 2021: 1-6
Coauthor Index
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