Tao Li - RankMe

55 papers A* 2B 1C 2Misc 1Journal 42Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distributed Online Convex Optimization with Nonseparable Costs and Constraints. CoRR Zhaoye Pan, Haozhe Lei, Fan Zuo, Zilin Bian, Tao Li
2026	J	`jnl`	Model-Agnostic Hessian-Free Meta-policy Optimization via Zeroth-Order Estimation: A Linear Quadratic Regulator Perspective. Dyn. Games Appl. Yunian Pan, Tao Li, Quanyan Zhu
2026	J	`jnl`	Transparent Tagging for Strategic Social Nudges on User-Generated Misinformation. IEEE Trans. Netw. Sci. Eng. Ya-Ting Yang, Tao Li, Quanyan Zhu
2025	J	`jnl`	Adaptive Security Response Strategies Through Conjectural Online Learning. IEEE Trans. Inf. Forensics Secur. Kim Hammar, Tao Li, Rolf Stadler, Quanyan Zhu
2025	J	`jnl`	Agentic AI for Cyber Resilience: A New Security Paradigm and Its System-Theoretic Foundations. CoRR Tao Li, Quanyan Zhu
2025	J	`jnl`	Digital Twin-Based Driver Risk-Aware Predictive Mobility Analytics for Real-Time Situational Awareness Through Cooperative Sensing. IEEE Trans. Intell. Transp. Syst. Tao Li, Zilin Bian, Haozhe Lei, Fan Zuo, Ya-Ting Yang, Quanyan Zhu, Zhenning Li, Zhibin Chen, Kaan Ozbay
2025	J	`jnl`	Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing With Zero-Shot Reinforcement Learning. IEEE Open J. Commun. Soc. Tao Li, Haozhe Lei, Hao Guo, Mingsheng Yin, Yaqi Hu, Quanyan Zhu, Sundeep Rangan
2025	J	`jnl`	From Texts to Shields: Convergence of Large Language Models and Cybersecurity. CoRR Tao Li, Ya-Ting Yang, Yunian Pan, Quanyan Zhu
2025	J	`jnl`	Model-Agnostic Meta-Policy Optimization via Zeroth-Order Estimation: A Linear Quadratic Regulator Perspective. CoRR Yunian Pan, Tao Li, Quanyan Zhu
2025	—	`conf`	Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantization. AISec@CCS Kim Hammar, Tao Li
2025	J	`jnl`	Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantization. CoRR Kim Hammar, Tao Li
2025	J	`jnl`	Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation. CoRR Tao Li, Haozhe Lei, Mingsheng Yin, Yaqi Hu
2025	J	`jnl`	Traffic Adaptive Moving-window Service Patrolling for Real-time Incident Management during High-impact Events. CoRR Haozhe Lei, Ya-Ting Yang, Tao Li, Zilin Bian, Fan Zuo, Sundeep Rangan, Kaan Ozbay
2024	J	`jnl`	Automated Security Response through Online Learning with Adaptive Conjectures. CoRR Kim Hammar, Tao Li, Rolf Stadler, Quanyan Zhu
2024	—	`conf`	Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games. CDC Tao Li, Kim Hammar, Rolf Stadler, Quanyan Zhu
2024	J	`jnl`	Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games. CoRR Tao Li, Kim Hammar, Rolf Stadler, Quanyan Zhu
2024	J	`jnl`	Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management. CoRR Tao Li, Zilin Bian, Haozhe Lei, Fan Zuo, Ya-Ting Yang, Quanyan Zhu, Zhenning Li, Zhibin Chen, Kaan Ozbay
2024	J	`jnl`	Learning from Response not Preference: A Stackelberg Approach for LLM Detoxification using Non-parallel Data. CoRR Xinhong Xie, Tao Li, Quanyan Zhu
2024	J	`jnl`	Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks. CoRR Tao Li, Henger Li, Yunian Pan, Tianyi Xu, Zizhan Zheng, Quanyan Zhu
2024	J	`jnl`	Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning. CoRR Tao Li, Zilin Bian, Haozhe Lei, Fan Zuo, Ya-Ting Yang, Quanyan Zhu, Zhenning Li, Kaan Ozbay
2024	—	`conf`	On the Variational Interpretation of Mirror Play in Monotone Games. CDC Yunian Pan, Tao Li, Quanyan Zhu
2024	J	`jnl`	On the Variational Interpretation of Mirror Play in Monotone Games. CoRR Yunian Pan, Tao Li, Quanyan Zhu
2024	J	`jnl`	Symbiotic Game and Foundation Models for Cyber Deception Operations in Strategic Cyber Warfare. CoRR Tao Li, Quanyan Zhu
2024	J	`jnl`	Transparent Tagging for Strategic Social Nudges on User-Generated Misinformation. CoRR Ya-Ting Yang, Tao Li, Quanyan Zhu
2024	A*	`conf`	Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning. ICRA Mingsheng Yin, Tao Li, Haozhe Lei, Yaqi Hu, Sundeep Rangan, Quanyan Zhu
2023	J	`jnl`	A First Order Meta Stackelberg Method for Robust Federated Learning. CoRR Yunian Pan, Tao Li, Henger Li, Tianyi Xu, Zizhan Zheng, Quanyan Zhu
2023	J	`jnl`	Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks. CoRR Tao Li, Yunian Pan, Quanyan Zhu
2023	B	`conf`	Designing Policies for Truth: Combating Misinformation with Transparency and Information Design. WiOpt Ya-Ting Yang, Tao Li, Quanyan Zhu
2023	J	`jnl`	Designing Policies for Truth: Combating Misinformation with Transparency and Information Design. CoRR Ya-Ting Yang, Tao Li, Quanyan Zhu
2023	J	`jnl`	Game-Theoretic Distributed Empirical Risk Minimization With Strategic Network Design. IEEE Trans. Signal Inf. Process. over Networks Shutian Liu, Tao Li, Quanyan Zhu
2023	J	`jnl`	Generalizable Wireless Navigation through Physics-Informed Reinforcement Learning in Wireless Digital Twin. CoRR Mingsheng Yin, Tao Li, Haozhe Lei, Yaqi Hu, Sundeep Rangan, Quanyan Zhu
2023	—	`conf`	Is Stochastic Mirror Descent Vulnerable to Adversarial Delay Attacks? A Traffic Assignment Resilience Study. CDC Yunian Pan, Tao Li, Quanyan Zhu
2023	J	`jnl`	Is Stochastic Mirror Descent Vulnerable to Adversarial Delay Attacks? A Traffic Assignment Resilience Study. CoRR Yunian Pan, Tao Li, Quanyan Zhu
2023	—	`conf`	On the Price of Transparency: A Comparison Between Overt Persuasion and Covert Signaling. CDC Tao Li, Quanyan Zhu
2023	J	`jnl`	On the Price of Transparency: A Comparison between Overt Persuasion and Covert Signaling. CoRR Tao Li, Quanyan Zhu
2023	C	`conf`	On the Resilience of Traffic Networks under Non-Equilibrium Learning. ACC Yunian Pan, Tao Li, Quanyan Zhu
2023	—	`conf`	Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach. INFOCOM Workshops Yunfei Ge, Tao Li, Quanyan Zhu
2023	J	`jnl`	Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach. CoRR Yunfei Ge, Tao Li, Quanyan Zhu
2023	A*	`conf`	Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation. ICRA Tao Li, Haozhe Lei, Quanyan Zhu
2023	J	`jnl`	Self-Confirming Transformer for Locally Consistent Online Adaptation in Multi-Agent Reinforcement Learning. CoRR Tao Li, Juan Guevara, Xinghong Xie, Quanyan Zhu
2022	J	`jnl`	Commitment with Signaling under Double-sided Information Asymmetry. CoRR Tao Li, Quanyan Zhu
2022	J	`jnl`	On the Resilience of Traffic Networks under Non-Equilibrium Learning. CoRR Yunian Pan, Tao Li, Quanyan Zhu
2022	J	`jnl`	Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis. CoRR Tao Li, Haozhe Lei, Quanyan Zhu
2022	J	`jnl`	Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation. CoRR Tao Li, Haozhe Lei, Quanyan Zhu
2022	J	`jnl`	The role of information structures in game-theoretic multi-agent learning. Annu. Rev. Control. Tao Li, Yuhan Zhao, Quanyan Zhu
2021	Misc	`conf`	Blackwell Online Learning for Markov Decision Processes. CISS Tao Li, Guanze Peng, Quanyan Zhu
2021	C	`conf`	Locally-Aware Constrained Games on Networks. ACC Guanze Peng, Tao Li, Shutian Liu, Juntao Chen, Quanyan Zhu
2021	J	`jnl`	The Confluence of Networks, Games and Learning. CoRR Tao Li, Guanze Peng, Quanyan Zhu, Tamer Basar
2020	J	`jnl`	Blackwell Online Learning for Markov Decision Processes. CoRR Tao Li, Guanze Peng, Quanyan Zhu
2020	J	`jnl`	Communication-Efficient Distributed Machine Learning over Strategic Networks: A Two-Layer Game Approach. CoRR Shutian Liu, Tao Li, Quanyan Zhu
2020	J	`jnl`	Locally-Aware Constrained Games on Networks. CoRR Guanze Peng, Tao Li, Shutian Liu, Juntao Chen, Quanyan Zhu
2019	J	`jnl`	Directional compactly supported box spline tight framelets with simple geometric structure. Appl. Math. Lett. Bin Han, Tao Li, Xiaosheng Zhuang
2019	J	`jnl`	On Convergence Rate of Adaptive Multiscale Value Function Approximation For Reinforcement Learning. CoRR Tao Li, Quanyan Zhu
2019	—	`conf`	On Convergence Rate of Adaptive Multiscale Value Function Approximation for Reinforcement Learning. MLSP Tao Li, Quanyan Zhu
2017	J	`jnl`	Directional Compactly supported Box Spline Tight Framelets with Simple Structure. CoRR Bin Han, Tao Li, Xiaosheng Zhuang