Muchao Ye

According to our database, Muchao Ye authored at least 35 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LATERN: Test-Time Context-Aware Explainable Video Anomaly Detection.

Mitchell Piehl, Muchao Ye

CoRR, May, 2026

EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium.

Yuqiao Meng, Sakshi Sunil Narvekar, Luoxi Tang, Rupali Rajendra Vaje, Yingxue Zhang, Muchao Ye, Zhaohan Xi

CoRR, May, 2026

ER-MIA: Black-Box Adversarial Memory Injection Attacks on Long-Term Memory-Augmented Large Language Models.

Mitchell Piehl, Zhaohan Xi, Zuobin Xiong, Pan He, Muchao Ye

CoRR, February, 2026

Understanding Real-World Traffic Safety through RoadSafe365 Benchmark.

Xinyu Liu, Darryl C. Jacob, Yuxin Liu, Xinsong Du, Muchao Ye, Bolei Zhou, Pan He

CoRR, February, 2026

The Value of Variance: Mitigating Debate Collapse in Multi-Agent Systems via Uncertainty-Driven Policy Optimization.

Luoxi Tang, Yuqiao Meng, Joseph Costa, Yingxue Zhang, Muchao Ye, Zhaohan Xi

CoRR, February, 2026

SRVAU-R1: Enhancing Video Anomaly Understanding via Reflection-Aware Learning.

Zihao Zhao, Shengting Cao, Muchao Ye

CoRR, February, 2026

OracleTSC: Oracle-Informed Reward Hurdle and Uncertainty Regularization for Traffic Signal Control.

Darryl C. Jacob, Xinyu Liu, Muchao Ye, Xiaoyong Yuan, Pan He

Trans. Mach. Learn. Res., 2026

2025

POLAR: Automating Cyber Threat Prioritization through LLM-Powered Assessment.

Luoxi Tang, Yuqiao Meng, Ankita Patra, Weicheng Ma, Muchao Ye, Zhaohan Xi

CoRR, October, 2025

Cyber Defense Reinvented: Large Language Models as Threat Intelligence Copilots.

Xiaoqun Liu, Jiacheng Liang, Qiben Yan, Muchao Ye, Jinyuan Jia, Zhaohan Xi

CoRR, February, 2025

Data to Defense: The Role of Curation in Aligning Large Language Models Against Safety Compromise.

Xiaoqun Liu, Jiacheng Liang, Luoxi Tang, Muchao Ye, Weicheng Ma, Zhaohan Xi

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models.

Muchao Ye, Weiyang Liu, Pan He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Shadow-Activated Backdoor Attacks on Multimodal Large Language Models.

Ziyi Yin, Muchao Ye, Yuanpu Cao, Jiaqi Wang, Aofei Chang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Buckle Up: Robustifying LLMs at Every Customization Stage via Data Curation.

Xiaoqun Liu, Jiacheng Liang, Luoxi Tang, Chenyu You, Muchao Ye, Zhaohan Xi

CoRR, 2024

Robustifying Safety-Aligned Large Language Models through Clean Data Curation.

Xiaoqun Liu, Jiacheng Liang, Muchao Ye, Zhaohan Xi

CoRR, 2024

Recent Advances in Predictive Modeling with Electronic Health Records.

Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Sharpness-Aware Optimization for Real-World Adversarial Attacks for Diverse Compute Platforms with Enhanced Transferability.

Muchao Ye, Xiang Xu, Qin Zhang, Jonathan Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models.

Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation.

Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang, Fenglong Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models.

Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text.

Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog.

Muchao Ye, Quanzeng You, Fenglong Ma

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization.

Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, Fenglong Ma

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data.

Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma

Proceedings of the IEEE International Conference on Data Mining, 2022

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.

Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang, Fenglong Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text.

Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.

Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Ting Wang, Fenglong Ma

CoRR, 2021

MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths.

Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma

Proceedings of the WWW '21: The Web Conference 2021, 2021

Advances in Mining Heterogeneous Healthcare Data.

Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text.

Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation.

Xingyi Yang, Muchao Ye, Quanzeng You, Fenglong Ma

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

FedSemi: An Adaptive Federated Semi-Supervised Learning Framework.

Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma

CoRR, 2020

A Benchmark Dataset for Understandable Medical Language Translation.

Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao, Fenglong Ma

CoRR, 2020

HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records.

Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction.

Muchao Ye, Junyu Luo, Cao Xiao, Fenglong Ma

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

AnoPCN: Video Anomaly Detection via Deep Predictive Coding Network.

Muchao Ye, Xiaojiang Peng, Weihao Gan, Wei Wu, Yu Qiao

Proceedings of the 27th ACM International Conference on Multimedia, 2019