Application of Robotic Process Automation Combined with Chinese Grammatical Error Detection. - Kai Liu; Yutao Yang; Minhang Li; Jia Yang; Yuchao Li; Dazhu Yan; Wenxin Liu; Weiyang He; Wenhong Tian (ICACS, 2022)

A Practical Man-in-the-Middle Attack on Deep Learning Edge Device by Sparse Light Strip Injection into Camera Data Lane. - Wenye Liu; Weiyang He; Bowen Hu; Chip-Hong Chang (SOCC, 2022)

An Empirical Study of the Inherent Resistance of Knowledge Distillation Based Federated Learning to Targeted Poisoning Attacks. - Weiyang He; Zizhen Liu; Chip-Hong Chang (ATS, 2023)

In-situ crack and keyhole pore detection in laser directed energy deposition through acoustic signal and deep learning. - Lequn Chen 002; Xiling Yao; Chaolin Tan; Weiyang He; Jinlong Su; Fei Weng; Youxiang Chew; Nicholas Poh Huat Ng; Seung Ki Moon (CoRR, 2023)

A Black-Box Targeted Misclassification Attack on Edge AI with Adversarial Examples Generated from RAW Image Sensor Data. - Bowen Hu; Weiyang He; Kuo Wang; Chip-Hong Chang (AsianHOST, 2024)

Live Demonstration: Man-in-the-Middle Attack on Edge Artificial Intelligence. - Bowen Hu; Weiyang He; Si Wang; Wenye Liu; Chip-Hong Chang (ISCAS, 2024)

iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer. - Fengtao Zhou; Yingxue Xu; Yanfen Cui; Shenyan Zhang; Yun Zhu; Weiyang He; Jiguang Wang; Xin Wang; Ronald Chan; Louis Ho Shing Lau; Chu Han; Dafu Zhang; et al. (CoRR, 2024)

IDEA: An Inverse Domain Expert Adaptation Based Active DNN IP Protection Method. - Chaohui Xu; Qi Cui; Jinxin Dong; Weiyang He; Chip-Hong Chang (CoRR, 2024)

SPFL: A Self-Purified Federated Learning Method Against Poisoning Attacks. - Zizhen Liu; Weiyang He; Chip-Hong Chang; Jing Ye 001; Huawei Li 001; Xiaowei Li 001 (IEEE Trans. Inf. Forensics Secur., 2024)

SRLAgent: Enhancing Self-Regulated Learning Skills through Gamification and LLM Assistance. - Wentao Ge; Yuqing Sun; Ziyan Wang; Haoyue Zheng; Weiyang He; Piaohong Wang; Qianyu Zhu; Benyou Wang (CoRR, 2025)

HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning. - Weiyang He; Chip-Hong Chang (CoRR, 2025)