Muchao Ye's Homepage

MUCHAO YE

I am an Assistant Professor in the Department of Computer Science at the University of Iowa. I completed my Ph.D. at Penn State and obtained my B.Eng. degree at South China University of Technology.

Email: muchao-ye@uiowa.edu

Supervised Students

PhD Students: Mitchell Piehl and Zihao Zhao

Undergraduate Students: Brainna Bowers and Preston Yoshino (from Grinnell College)

Selected Works

Muchao Ye, Weiyang Liu, and Pan He. 2025. VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models. Accepted in CVPR '25.

Muchao Ye, Xiaojiang Peng, Weihao Gan, Wei Wu, and Yu Qiao. 2019. AnoPCN: Video Anomaly Detection via Deep Predictive Coding Network. In Proceedings of the 27th ACM International Conference on Multimedia (ACM MM '19).

Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang, and Fenglong Ma. 2023. UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation. In Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS '23).

Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, and Fenglong Ma. 2023. PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. In 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '23).

Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang, and Fenglong Ma. 2022. MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. In International Conference on Bioinformatics and Biomedicine 2022 (BIBM '22).

Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, and Fenglong Ma. 2022. LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization. In 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22).

Muchao Ye, Chenglin Miao, Ting Wang, and Fenglong Ma. 2022. TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text. In 36th AAAI Conference on Artificial Intelligence (AAAI '22).

Muchao Ye*, Suhan Cui *, Yaqing Wang, Junyu Luo, Cao Xiao, and Fenglong Ma. 2021. MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. In Proceedings of The Web Conference 2021. (* indicates equal contribution.)

Muchao Ye*, Suhan Cui*, Yaqing Wang, Junyu Luo, Cao Xiao, and Fenglong Ma. 2021. MedRetriever: Target-Driven Health Risk Prediction via Retrieving Unstructured Medical Text. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM '21). (* indicates equal contribution.)

Muchao Ye, Junyu Luo, Cao Xiao, and Fenglong Ma. 2020. LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction. In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM '20).

Junyu Luo, Muchao Ye, Cao Xiao, and Fenglong Ma. 2020. HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '20).

Industry Experiences

Applied Scientist Intern @ Amazon. Supervised by Dr. Jon Wu and Dr. Xiang Xu. May 2023 - August 2023.

Applied Scientist Intern @ Amazon. Supervised by Dr. Jon Wu, Dr. Hao Zhou and Dr. Xiang Xu. May 2022 - August 2022.

Software Engineer Intern @ NewsBreak. Supervised by Dr. Yudian Zheng and Ryan Liu. June 2021 - August 2021.