Attributes Aware Face Generation with Generative Adversarial Networks. - Zheng Yuan 005; Jie Zhang 071; Shiguang Shan; Xilin Chen 001 (ICPR, 2020)

Meta Gradient Adversarial Attack. - Zheng Yuan 005; Jie Zhang 071; Yunpei Jia; Chuanqi Tan; Tao Xue; Shiguang Shan (ICCV, 2021)

Adaptive Perturbation for Adversarial Attack. - Zheng Yuan 005; Jie Zhang 071; Shiguang Shan (CoRR, 2021)

Adaptive Image Transformations for Transfer-Based Adversarial Attack. - Zheng Yuan 005; Jie Zhang 071; Shiguang Shan (ECCV (5), 2022)

Adaptive Adversarial Patch Attack on Face Recognition Models. - Bei Yan; Jie Zhang 071; Zheng Yuan 005; Shiguang Shan (IJCB, 2023)

RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training. - Zheng Yuan 005; Qiao Jin 001; Chuanqi Tan; Zhengyun Zhao; Hongyi Yuan; Fei Huang 002; Songfang Huang (ACM Multimedia, 2023)

Pre-Trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness. - Sibo Wang 012; Jie Zhang 071; Zheng Yuan 005; Shiguang Shan (CVPR, 2024)

FullLoRA-AT: Efficiently Boosting the Robustness of Pretrained Vision Transformers. - Zheng Yuan 005; Jie Zhang 071; Shiguang Shan (CoRR, 2024)

VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model. - Jie Zhang 071; Sibo Wang 012; Xiangkui Cao; Zheng Yuan 005; Shiguang Shan; Xilin Chen 001; Wen Gao 001 (CoRR, 2024)

Evaluating the Quality of Hallucination Benchmarks for Large Vision-Language Models. - Bei Yan; Jie Zhang 071; Zheng Yuan 005; Shiguang Shan; Xilin Chen 001 (CoRR, 2024)

Adaptive Perturbation for Adversarial Attack. - Zheng Yuan 005; Jie Zhang 071; Zhaoyan Jiang; Liangliang Li; Shiguang Shan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Towards Robust Semantic Segmentation against Patch-Based Attack via Attention Refinement. - Zheng Yuan 005; Jie Zhang 071; Yude Wang; Shiguang Shan; Xilin Chen 001 (Int. J. Comput. Vis., 2024)

Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs. - Jie Zhang 071; Zhongqi Wang; Mengqi Lei; Zheng Yuan 005; Bei Yan; Shiguang Shan; Xilin Chen 001 (ICLR, 2025)

FullLoRA: Efficiently Boosting the Robustness of Pretrained Vision Transformers. - Zheng Yuan 005; Jie Zhang 071; Shiguang Shan; Xilin Chen 001 (IEEE Trans. Image Process., 2025)

REVAL: A Comprehension Evaluation on Reliability and Values of Large Vision-Language Models. - Jie Zhang 071; Zheng Yuan 005; Zhongqi Wang; Bei Yan; Sibo Wang 012; Xiangkui Cao; Zonghui Guo; Shiguang Shan; Xilin Chen 001 (CoRR, 2025)