Zizhan Zheng

1. Analysis of Thompson Sampling for Graphical Bandits Without the Graphs
   2018/05/23 by Fang Liu, Zizhan Zheng, Liu, Fang +3 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems #Reinforcement Learning in Robotics
2. LeakSemantic: Identifying Abnormal Sensitive Network Transmissions in Mobile Applications
   2017/02/03 by Hao Fu, Fu, Hao, Zizhan Zheng +7 · 1 citation
   Computer Science · #Advanced Malware Detection Techniques #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Network Security and Intrusion Detection
3. Optimal Timing of Moving Target Defense: A Stackelberg Game Model
   2019/05/30 by Henger Li, Zizhan Zheng, Li, Henger +1 · 1 citation
   Computer Science · #Advanced Malware Detection Techniques #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Information and Cyber Security #Network Security and Intrusion Detection
4. Joint AP Probing and Scheduling: A Contextual Bandit Approach
   2021/08/06 by Tianyi Xu, Ding Zhang, Xu, Tianyi +5 · 1 citation
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Networking and Internet Architecture (cs.NI) #Optimization and Search Problems
5. Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
   2024/10/22 by Tao Li, Li, Tao, Henger Li +9 · 3 citations
   Medicine · #HIV, Drug Use, Sexual Risk
6. Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations
   2024/03/06 by Xiaolin Sun, Sun, Xiaolin, Zizhan Zheng +1 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM