Blockchain-based decentralized federated learning: A secure and privacy-preserving system. - Shuang Zhao; Yalun Wu; Rui Sun; Xiaoai Qian; Dong Zi; Zhiqiang Xie; Endong Tong; Wenjia Niu; Jiqiang Liu; Zhen Han 001 (HPCC/DSS/SmartCity/DependSys, 2021)

Improving Convolutional Neural Network-Based Webshell Detection Through Reinforcement Learning. - Yalun Wu; Minglu Song; Yike Li; Yunzhe Tian; Endong Tong; Wenjia Niu; Bowei Jia; Haixiang Huang; Qiong Li; Jiqiang Liu (ICICS (1), 2021)

Multiagent Reinforcement Learning-Based Signal Planning for Resisting Congestion Attack in Green Transportation. - Yike Li; Wenjia Niu; Yunzhe Tian; Tong Chen 007; Zhiqiang Xie; Yalun Wu; Yingxiao Xiang; Endong Tong; Thar Baker; Jiqiang Liu (IEEE Trans. Green Commun. Netw., 2022)

Traffic Signal Timing Optimization Based on Intersection Importance in Vehicle-Road Collaboration. - Pengna Liu; Ziyan Qiao; Yalun Wu; Kang Chen; Jiasong Hou; Yingqi Cai; Liqun Chu; Endong Tong; Wenjia Niu; Jiqiang Liu (ML4CS, 2023)

CAVE: a cloud-based platform for analysis and visualization of metabolic pathways. - Zhitao Mao; Qianqian Yuan; Haoran Li; Yue Zhang; Yuanyuan Huang; Chunhe Yang; Ruoyu Wang 025; Yongfu Yang; Yalun Wu; Shihui Yang; Xiaoping Liao; Hongwu Ma (Nucleic Acids Res., 2023)

A Mutual Information-Based Assessment of Reverse Engineering on Rewards of Reinforcement Learning. - Tong Chen 007; Jiqiang Liu; Thar Baker; Yalun Wu; Yingxiao Xiang; Yike Li; Wenjia Niu; Endong Tong; Albert Y. Zomaya (IEEE Trans. Artif. Intell., 2023)

Nightfall Deception: A Novel Backdoor Attack on Traffic Sign Recognition Models via Low-Light Data Manipulation. - Yalun Wu; Qiong Li; Yingxiao Xiang; Jinkai Zheng; Xingyu Wu; Zhen Han 001; Jiqiang Liu; Wenjia Niu (ADMA (3), 2024)

Lurking in the Shadows: Imperceptible Shadow Black-Box Attacks Against Lane Detection Models. - Xiaoshu Cui; Yalun Wu; Yanfeng Gu; Qiong Li; Endong Tong; Jiqiang Liu; Wenjia Niu (KSEM (3), 2024)

Improving the Robustness of Pedestrian Detection in Autonomous Driving With Generative Data Augmentation. - Yalun Wu; Yingxiao Xiang; Endong Tong; Yuqi Ye; Zhibo Cui; Yunzhe Tian; Lejun Zhang; Jiqiang Liu; Zhen Han 001; Wenjia Niu (IEEE Netw., 2024)

A secure and lightweight data sharing scheme in vehicular digital twin network. - Guanjie Li; Tom H. Luan; Jinkai Zheng; Dihao Hu; Jie Cao; Yalun Wu (Peer Peer Netw. Appl., 2025)

U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding. - Anjie Le; Henan Liu; Yue Wang; Zhenyu Liu; Rongkun Zhu; Taohan Weng; Jinze Yu; Boyang Wang; Yalun Wu; Kaiwen Yan; Quanlin Sun; Meirui Jiang; et al. (CoRR, 2025)

Affordance Benchmark for MLLMs. - Junying Wang; Wenzhe Li; Yalun Wu; Yingji Liang; Yijin Guo; Chunyi Li; Haodong Duan; Zicheng Zhang; Guangtao Zhai (CoRR, 2025)

H2HTalk: Evaluating Large Language Models as Emotional Companion. - Boyang Wang; Yalun Wu; Hongcheng Guo; Zhoujun Li 001 (CoRR, 2025)

The Ever-Evolving Science Exam. - Junying Wang; Zicheng Zhang; Yijin Guo; Farong Wen; Ye Shen; Yingji Liang; Yalun Wu; Wenzhe Li; Chunyi Li; Zijian Chen 001; Qi Jia; Guangtao Zhai (CoRR, 2025)