Yuanpu Cao

According to our database, Yuanpu Cao authored at least 25 papers between 2019 and 2026.

Collaborative distances:

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

2026

ForecastCompass: Guiding Agentic Forecasting with Adaptive Factor Memory.

Yurui Chang, Yongkang Du, Yuanpu Cao, Jinghui Chen, Lu Lin

CoRR, May, 2026

Restoring the Sweet Spot: Pass-Rate Weighted Self-Distillation for LLM Reasoning.

Zehao Liu, Yuanpu Cao, Jinghui Chen, Vasant G. Honavar

CoRR, May, 2026

The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation.

Yifan Lan, Yuanpu Cao, Hanyu Wang, Lu Lin, Jinghui Chen

CoRR, May, 2026

PreFlect: From Retrospective to Prospective Reflection in Large Language Model Agents.

Hanyu Wang, Yuanpu Cao, Lu Lin, Jinghui Chen

CoRR, February, 2026

ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models.

Yujia Wang, Yuanpu Cao, Jinghui Chen

Trans. Mach. Learn. Res., 2026

ICDAGENT: Empowering Agentic Large Language Models for Explainable Medical Coding.

Ziyi Yin, Yuanpu Cao, Ting Wang, Jinghui Chen, Fenglong Ma

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Can Factual Opinions Be Edited (Manipulated) in Large Language Models?

Yuanpu Cao, Ziyi Yin, Fenglong Ma, Jinghui Chen

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

GuardDoor: Safeguarding Against Malicious Diffusion Editing via Protective Backdoors.

Yaopei Zeng, Yuanpu Cao, Lu Lin

CoRR, March, 2025

Towards Robust Multimodal Large Language Models Against Jailbreak Attacks.

Ziyi Yin, Yuanpu Cao, Han Liu, Ting Wang, Jinghui Chen, Fenhlong Ma

CoRR, February, 2025

WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response.

Tianrong Zhang, Bochuan Cao, Yuanpu Cao, Lu Lin, Prasenjit Mitra, Jinghui Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models.

Yaopei Zeng, Yuanpu Cao, Bochuan Cao, Yurui Chang, Jinghui Chen, Lu Lin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

TruthFlow: Truthful LLM Generation via Representation Flow Correction.

Hanyu Wang, Bochuan Cao, Yuanpu Cao, Jinghui Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time.

Yifan Lan, Yuanpu Cao, Weitong Zhang, Lu Lin, Jinghui Chen

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

You Can't Steal Nothing: Mitigating Prompt Leakages in LLMs via System Vectors.

Bochuan Cao, Changjiang Li, Yuanpu Cao, Yameng Ge, Ting Wang, Jinghui Chen

Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 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

Adversarially Robust Industrial Anomaly Detection Through Diffusion Model.

Yuanpu Cao, Lu Lin, Jinghui Chen

CoRR, 2024

Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization.

Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections.

Yuanpu Cao, Bochuan Cao, Jinghui Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration.

Yujia Wang, Yuanpu Cao, Jingcheng Wu, Ruoyu Chen, Jinghui Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM.

Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Federated Learning with Projected Trajectory Regularization.

Tiejin Chen, Yuanpu Cao, Yujia Wang, Cho-Jui Hsieh, Jinghui Chen

CoRR, 2023

2021

CTF: Anomaly Detection in High-Dimensional Time Series with Coarse-to-Fine Model Transfer.

Ming Sun, Ya Su, Shenglin Zhang, Yuanpu Cao, Yuqing Liu, Dan Pei, Wenfei Wu, Yongsu Zhang, Xiaozhou Liu, Junliang Tang

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020

RLCard: A Platform for Reinforcement Learning in Card Games.

Daochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, Xia Hu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

RLCard: A Toolkit for Reinforcement Learning in Card Games.

Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, Xia Hu

CoRR, 2019

CoFlux: robustly correlating KPIs by fluctuations for service troubleshooting.

Ya Su, Youjian Zhao, Wentao Xia, Rong Liu, Jiahao Bu, Jing Zhu, Yuanpu Cao, Haibin Li, Chenhao Niu, Yiyin Zhang, Zhaogang Wang, Dan Pei

Proceedings of the International Symposium on Quality of Service, 2019