Yuanshun Yao - RankMe

50 papers A* 13A 4Journal 32Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Personalized Agents from Human Feedback. CoRR Kaiqu Liang, Julia Kruk, Shengyi Qian, Xianjun Yang, Shengjie Bi, Yuanshun Yao, Shaoliang Nie, Mingyang Zhang, Lijuan Liu, Jaime Fernández Fisac, Shuyan Zhou, Saghar Hosseini
2026	J	`jnl`	New results on predefined-time stability strategies and their application to synchronization control of memristor-based quaternion-valued neural networks. J. Frankl. Inst. Jiangtao Wang, Xin Wang, Jinde Cao, Fanchao Kong, Xianghui Zhou, Yuanshun Yao, Anding Dai
2025	A*	`conf`	ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration. ICLR Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu
2025	J	`jnl`	Rethinking machine unlearning for large language models. Nat. Mac. Intell. Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Yuguang Yao, Chris Yuhao Liu, Xiaojun Xu, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu
2025	A*	`conf`	Robust Multi-bit Text Watermark with LLM-based Paraphrasers. ICML Xiaojun Xu, Jinghan Jia, Yuanshun Yao, Yang Liu, Hang Li
2025	—	`conf`	Toward Optimal LLM Alignments Using Two-Player Games. EMNLP (Findings) Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Yang Liu, Hang Li
2024	J	`jnl`	ACC-Debate: An Actor-Critic Approach to Multi-Agent Debate. CoRR Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu
2024	J	`jnl`	Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach. CoRR Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu
2024	A*	`conf`	Fair Classifiers that Abstain without Harm. ICLR Tongxin Yin, Jean-Francois Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu
2024	A*	`conf`	Fairness without Harm: An Influence-Guided Active Sampling Approach. NeurIPS Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu
2024	J	`jnl`	Human-Instruction-Free LLM Self-Alignment with Limited Samples. CoRR Hongyi Guo, Yuanshun Yao, Wei Shen, Jiaheng Wei, Xiaoying Zhang, Zhaoran Wang, Yang Liu
2024	J	`jnl`	Improving Reinforcement Learning from Human Feedback Using Contrastive Rewards. CoRR Wei Shen, Xiaoying Zhang, Yuanshun Yao, Rui Zheng, Hongyi Guo, Yang Liu
2024	J	`jnl`	Label Smoothing Improves Machine Unlearning. CoRR Zonglin Di, Zhaowei Zhu, Jinghan Jia, Jiancheng Liu, Zafar Takhirov, Bo Jiang, Yuanshun Yao, Sijia Liu, Yang Liu
2024	A*	`conf`	Large Language Model Unlearning. NeurIPS Yuanshun Yao, Xiaojun Xu, Yang Liu
2024	J	`jnl`	Learning to Watermark LLM-generated Text via Reinforcement Learning. CoRR Xiaojun Xu, Yuanshun Yao, Yang Liu
2024	J	`jnl`	Measuring and Reducing LLM Hallucination without Gold-Standard Answers via Expertise-Weighting. CoRR Jiaheng Wei, Yuanshun Yao, Jean-Francois Ton, Hongyi Guo, Andrew Estornell, Yang Liu
2024	J	`jnl`	Rethinking Machine Unlearning for Large Language Models. CoRR Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Xiaojun Xu, Yuguang Yao, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu
2024	J	`jnl`	Robust Multi-bit Text Watermark with LLM-based Paraphrasers. CoRR Xiaojun Xu, Jinghan Jia, Yuanshun Yao, Yang Liu, Hang Li
2024	J	`jnl`	Toward Optimal LLM Alignments Using Two-Player Games. CoRR Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Hang Li, Yang Liu
2023	J	`jnl`	"My face, my rules": Enabling Personalized Protection Against Unacceptable Face Editing. Proc. Priv. Enhancing Technol. Zhujun Xiao, Jenna Cryan, Yuanshun Yao, Yi Hong Gordon Cheo, Yuanchao Shu, Stefan Saroiu, Ben Y. Zhao, Haitao Zheng
2023	A*	`conf`	DPAUC: Differentially Private AUC Computation in Federated Learning. AAAI Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang
2023	J	`jnl`	Fair Classifiers that Abstain without Harm. CoRR Tongxin Yin, Jean-François Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu
2023	J	`jnl`	Label Inference Attack against Split Learning under Regression Setting. CoRR Shangyu Xie, Xin Yang, Yuanshun Yao, Tianyi Liu, Taiqing Wang, Jiankai Sun
2023	J	`jnl`	Large Language Model Unlearning. CoRR Yuanshun Yao, Xiaojun Xu, Yang Liu
2023	J	`jnl`	Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment. CoRR Yang Liu, Yuanshun Yao, Jean-Francois Ton, Xiaoying Zhang, Ruocheng Guo, Hao Cheng, Yegor Klochkov, Muhammad Faaiz Taufiq, Hang Li
2023	J	`jnl`	Understanding Unfairness via Training Concept Influence. CoRR Yuanshun Yao, Yang Liu
2023	A*	`conf`	Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes. ICML Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu
2022	J	`jnl`	Counterfactually Evaluating Explanations in Recommender Systems. CoRR Yuanshun Yao, Chong Wang, Hang Li
2022	J	`jnl`	DPAUC: Differentially Private AUC Computation in Federated Learning. CoRR Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang
2022	J	`jnl`	Differentially Private AUC Computation in Vertical Federated Learning. CoRR Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang
2022	J	`jnl`	Differentially Private Label Protection in Split Learning. CoRR Xin Yang, Jiankai Sun, Yuanshun Yao, Junyuan Xie, Chong Wang
2022	J	`jnl`	Differentially Private Multi-Party Data Release for Linear Regression. CoRR Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang
2022	A	`conf`	Differentially private multi-party data release for linear regression. UAI Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang
2022	J	`jnl`	Evaluating Fairness Without Sensitive Attributes: A Framework Using Only Auxiliary Models. CoRR Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Yang Liu, Hang Li
2022	J	`jnl`	Label Leakage and Protection from Forward Embedding in Vertical Federated Learning. CoRR Jiankai Sun, Xin Yang, Yuanshun Yao, Chong Wang
2022	J	`jnl`	Learning to Counterfactually Explain Recommendations. CoRR Yuanshun Yao, Chong Wang, Hang Li
2021	A*	`conf`	Backdoor Attacks Against Deep Learning Systems in the Physical World. CVPR Emily Wenger, Josephine Passananti, Arjun Nitin Bhagoji, Yuanshun Yao, Haitao Zheng, Ben Y. Zhao
2021	J	`jnl`	Defending against Reconstruction Attack in Vertical Federated Learning. CoRR Jiankai Sun, Yuanshun Yao, Weihao Gao, Junyuan Xie, Chong Wang
2021	J	`jnl`	Vertical Federated Learning without Revealing Intersection Membership. CoRR Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang
2020	J	`jnl`	Backdoor Attacks on Facial Recognition in the Physical World. CoRR Emily Wenger, Josephine Passananti, Yuanshun Yao, Haitao Zheng, Ben Y. Zhao
2019	A*	`conf`	Latent Backdoor Attacks on Deep Neural Networks. CCS Yuanshun Yao, Huiying Li, Haitao Zheng, Ben Y. Zhao
2019	A*	`conf`	Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks. IEEE Symposium on Security and Privacy Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, Ben Y. Zhao
2019	J	`jnl`	Regula Sub-rosa: Latent Backdoor Attacks on Deep Neural Networks. CoRR Yuanshun Yao, Huiying Li, Haitao Zheng, Ben Y. Zhao
2018	A*	`conf`	With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning. USENIX Security Symposium Bolun Wang, Yuanshun Yao, Bimal Viswanath, Haitao Zheng, Ben Y. Zhao
2017	A*	`conf`	Automated Crowdturfing Attacks and Defenses in Online Review Systems. CCS Yuanshun Yao, Bimal Viswanath, Jenna Cryan, Haitao Zheng, Ben Y. Zhao
2017	J	`jnl`	Automated Crowdturfing Attacks and Defenses in Online Review Systems. CoRR Yuanshun Yao, Bimal Viswanath, Jenna Cryan, Haitao Zheng, Ben Y. Zhao
2017	A	`conf`	Complexity vs. performance: empirical analysis of machine learning as a service. Internet Measurement Conference Yuanshun Yao, Zhujun Xiao, Bolun Wang, Bimal Viswanath, Haitao Zheng, Ben Y. Zhao
2017	A*	`conf`	Identifying Value in Crowdsourced Wireless Signal Measurements. WWW Zhijing Li, Ana Nika, Xinyi Zhang, Yanzi Zhu, Yuanshun Yao, Ben Y. Zhao, Haitao Zheng
2017	A	`conf`	Object Recognition and Navigation using a Single Networking Device. MobiSys Yanzi Zhu, Yuanshun Yao, Ben Y. Zhao, Haitao Zheng
2016	A	`conf`	A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise. SDM Xi C. Chen, Yuanshun Yao, Sichao Shi, Snigdhansu Chatterjee, Vipin Kumar, James H. Faghmous