[1] Chaoyong Yang#; Jia-Li Yin*; Bin Chen; Zhaozhe Hu; Xiaolei Liu; W Lin; KOEnsAttack: Towards Efficient Data-Free Black-Box Adversarial Attacks via Knowledge-Orthogonalized Substitute Ensembles, ICCV 2025. [CCF-A]
[2]Yiqiang Guo#; Lei Zhong#; Bin Chen#; Jia-Li Yin*; Xiaolei Liu; Shouling Ji; Focus on Generalization: Improving Adversarial Transferability via Bi-Level Bias Mitigation, ACM MM 2025. [CCF-A]
[3] Zhou Tan#, De Li, Yirui Huang, Jia-Li Yin*；FeatShield: Isolating Malicious Feature Extractors for Backdoor-Robust Federated Learning, ACM MM 2025. [CCF-A]
[4] Shuman Zhuang#, Zhihao Wu,Yuhong Chen, Zihan Fang, Jia-Li Yin*; Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations, IJCAI 2025. [CCF-A]
[5] 姜毅, 杨勇, 印佳丽, 刘小垒, 李吉亮, 王伟, 田有亮, 巫英才, 纪守领, 大语言模型安全与隐私风险综述, 计算机研究与发展, 2025. [CCF-A]
[6] Jia-Li Yin; Weijian Wang#; W. Lin; Yanhua Liu et al; Adversarial-Inspired Backdoor Defense via Bridging Adversarial and Backdoor Attacks, AAAI 2025. [CCF-A]
[7] Jia-Li Yin; Menghao Chen#; Jin Han; Bo-Hao Chen et al.; Adversarial Example Quality Assessment: A large-scale Dataset and Strong Baseline, ACM MM 2024. [CCF-A]
[8] Zhaozhe Hu#; Jia-Li Yin*; Bin Chen; Luojun Lin; Bo-Hao Chen; Ximeng Liu; MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization; ICASSP 2024. [CCF-B]
[9] 印佳丽；韩津；陈斌等；基于一致性感知的高动态范围成像，计算机学报，2024. [CCF-A]
[10] Bin Chen#; Jia-Li Yin*; Shukai Chen; Bo-Hao Chen et al.; An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability, ICCV 2023. [CCF-A]
[11] Luojun Lin, Zhifeng Shen, Jia-Li Yin, Qipeng Liu, yuanlong yu, Weijie Chen; MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction, ACM MM 2023. [CCF-A]
[12] Jia-Li Yin; Bin Chen; Wanqing Zhu; Bo-Hao Chen et al.; Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness, IEEE Transactions on Information Forensics and Security (TIFS), 2023. [CCF-A, 一区, IF = 7.231]
[13] Wanqing Zhu#, Jia-Li Yin*, Bo-Hao Chen, et al.; SRoUDA: Meta Self-training for Robust Unsupervised Domain Adaptation; AAAI 2023. [CCF-A]
[14]Jian-Nan Su; Min Gan; Guang-Yong Chen; Jia-Li Yin; C. L. Philip Chen; Global Learnable Attention for Single Image Super-Resolution, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [CCF-A, 一区, IF = 24.314]
[15] 李应, 印佳丽. 基于多随机森林的低信噪比声音事件检测. 电子学报, 046(011):2705-2713. （CCF A类中文期刊）
[16] Jia-Li Yin; Bo-Hao Chen ; Yan-Tsung Peng ; Hau Hwang; Automatic Intermediate Generation with Deep Reinforcement Learning for Robust Two-exposure Image Fusion, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. [CCF-B, 一区，IF = 14.255]
[17] Jia-Li Yin; Bo-Hao Chen ; Yan-Tsung Peng ; Two Exposure Fusion Using Prior-Aware Generative Adversarial Network, IEEE Transactions on Multimedia (TMM), 2022. [CCF-B, 一区，IF = 8.182]
[18] B. H. Chen, S. Ye, Jia-Li Yin*, H. Y. Cheng and D. Chen, “Deep Trident Decomposition Network for Single License Plate Image Glare Removal,” IEEE Transactions on Intelligent Transportation Systems (TITS), 2021. [CCF-B, 一区，IF = 9.551]
[19] Jia-Li Yin, B. Chen, Y. Peng, and C. Tsai, Deep Battery Saver: End-to-end Learning for Power Constrained Contrast Enhancement, IEEE Transactions on Multimedia (TMM), 2021, 23: 1049-105 [CCF-B, 一区，IF = 8.182]
