| 2026 | AAAI | TouchFormer: A Robust Transformer-based Framework for Multimodal Material Perception. | Kailin Lyu, Long Xiao, Jianing Zeng, Junhao Dong, Xuexin Liu, Zhuojun Zou, Haoyue Yang, Lin Shu, Jie Hao |
| 2026 | ACL | X-Router: Decoupling Knowledge and Reasoning for Cost-Effective LLM Inference. | Zixuan Wang, Yinze Ding, Zihan Wang, Jinyu Guo, Zhenhong Zhou, Junhao Dong, Chaomeng Chen |
| 2026 | ACL | CoopQ: Cooperative Game Inspired Layerwise Mixed Precision Quantization for LLMs. | Junchen Zhao, Ali Derakhshan, Jayden Kana Hyman, Junhao Dong, Sangeetha Abdu Jyothi, Ian G. Harris |
| 2025 | CVPR | Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking. | Junxi Chen, Junhao Dong, Xiaohua Xie |
| 2025 | CVPR | Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment. | Weiming Liu, Jun Dan, Fan Wang, Xinting Liao, Junhao Dong, Hua Yu, Shunjie Dong, Lianyong Qi |
| 2025 | CVPR | BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning. | Hao Zhu, Yifei Zhang, Junhao Dong, Piotr Koniusz |
| 2025 | ICCV | Robustifying Zero-Shot Vision Language Models by Subspaces Alignment. | Junhao Dong, Piotr Koniusz, Liaoyuan Feng, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong |
| 2025 | ICCV | Confound from all Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness. | Junhao Dong, Jiao Liu, Xinghua Qu, Yew-Soon Ong |
| 2025 | ICML | Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices. | Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong |
| 2025 | KDD | Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs. | Junhao Dong, Piotr Koniusz, Xinghua Qu, Yew-Soon Ong |
| 2024 | CVPR | Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples. | Junhao Dong, Piotr Koniusz, Junxi Chen, Z. Jane Wang, Yew-Soon Ong |
| 2024 | CVPR | Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners. | Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong |
| 2024 | ECAI | Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack. | Zhongliang Guo, Junhao Dong, Yifei Qian, Kaixuan Wang, Weiye Li, Ziheng Guo, Yuheng Wang, Yanli Li, Ognjen Arandjelovic, Lei Fang |
| 2024 | ECCV | Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap. | Junhao Dong, Piotr Koniusz, Junxi Chen, Yew-Soon Ong |
| 2023 | CVPR | The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training. | Junhao Dong, Seyed-Mohsen Moosavi-Dezfooli, Jianhuang Lai, Xiaohua Xie |
| 2022 | CVPR | Improving Adversarially Robust Few-shot Image Classification with Generalizable Representations. | Junhao Dong, Yuan Wang, Jianhuang Lai, Xiaohua Xie |
| 2022 | ICPR | Learning Bi-directional Feature Propagation with Latent Layout Modeling for Group Re-identification. | Yuan Wang, Quan Zhang, Jianhuang Lai, Xiaohua Xie, Junhao Dong |