Zizhao Wang - RankMe

54 papers A* 8A 6B 2Misc 1Journal 29Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Factored Latent Action World Models. CoRR Zizhao Wang, Chang Shi, Jiaheng Hu, Kevin Rohling, Roberto Martín-Martín, Amy Zhang, Peter Stone
2026	J	`jnl`	Optimal schedule for periodic jobs with discretely controllable processing times on two machines. J. Parallel Distributed Comput. Zizhao Wang, Wei Bao, Ruoyu Wu, Dong Yuan, Albert Y. Zomaya
2025	J	`jnl`	Adversarial Reinforcement Learning for Large Language Model Agent Safety. CoRR Zizhao Wang, Dingcheng Li, Vaishakh Keshava, Phillip Wallis, Ananth Balashankar, Peter Stone, Lukas Rutishauser
2025	J	`jnl`	Dyn-O: Building Structured World Models with Object-Centric Representations. CoRR Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian
2025	A	`conf`	Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination. IROS Saad Abdul Ghani, Zizhao Wang, Peter Stone, Xuesu Xiao
2024	A*	`conf`	Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. AAAI Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone
2024	J	`jnl`	Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. CoRR Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone
2024	A*	`conf`	Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning. NeurIPS Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martín-Martín
2024	J	`jnl`	Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning. CoRR Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martín-Martín
2024	J	`jnl`	Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination. CoRR Saad Abdul Ghani, Zizhao Wang, Peter Stone, Xuesu Xiao
2024	—	`conf`	REXIO: Indexing for Low Write Amplification by Reducing Extra I/Os in Key-Value Store Under Mixed Read/Write Workloads. WISE (1) Zizhao Wang, Qiang Qu, Nan Han, Zhelang Deng, Yizhuo Ma, Xiaowen Huang, Jintao Meng
2024	J	`jnl`	Robust Sensor Optimization for Liquid Propellant Rocket Engine Model Parameter Estimation. IEEE Trans. Aerosp. Electron. Syst. Zizhao Wang, Zhijiang Shao, Hongyu Chen
2024	A*	`conf`	SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions. NeurIPS Zizhao Wang, Jiaheng Hu, Caleb Chuck, Stephen Chen, Roberto Martín-Martín, Amy Zhang, Scott Niekum, Peter Stone
2024	J	`jnl`	SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions. CoRR Zizhao Wang, Jiaheng Hu, Caleb Chuck, Stephen Chen, Roberto Martín-Martín, Amy Zhang, Scott Niekum, Peter Stone
2024	B	`conf`	SpotMon: Enabling General Hotspot Monitoring in Key-Value Stores. ICNP Zhengyan Zhou, Jinhan Zu, Enhao Huang, Zizhao Wang, Haifeng Zhou, Dong Zhang, Xiang Chen, Chunming Wu
2024	J	`jnl`	TVRPCA＋: Low-rank and sparse decomposition based on spectral norm and structural sparsity-inducing norm. Signal Process. Ruibo Fan, Mingli Jing, Jingang Shi, Lan Li, Zizhao Wang
2023	A*	`conf`	ELDEN: Exploration via Local Dependencies. NeurIPS Zizhao Wang, Jiaheng Hu, Peter Stone, Roberto Martín-Martín
2023	J	`jnl`	ELDEN: Exploration via Local Dependencies. CoRR Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martin Martin
2023	J	`jnl`	FedRich: Towards efficient federated learning for heterogeneous clients using heuristic scheduling. Inf. Sci. He Yang, Wei Xi, Zizhao Wang, Yuhao Shen, Xinyuan Ji, Cerui Sun, Jizhong Zhao
2023	—	`conf`	MINT: Empowering Multiple Flow Definition Query for Network-Wide Measurement. ICC Jiayi Cai, Zhengyan Zhou, Tingxin Sun, Jiashuo Yu, Longlong Zhu, Zizhao Wang, Chengze li, Dong Zhang, Chunming Wu
2022	J	`jnl`	APPL: Adaptive Planner Parameter Learning. Robotics Auton. Syst. Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone
2022	—	`conf`	An Electromagnetic Generator for Self-powered Wireless Sensor Node on Transmission Line. EEET Zizhao Wang, Manjuan Huang, Tianyi Tang, Tingting Zhao, ZhenMing Li, Huicong Liu
2022	J	`jnl`	An Improved AP Clustering Algorithm Based Critical Nodes Identification for Distribution Network With High PV Penetration. IEEE Access Jiawei Wu, Feng Wu, Keman Lin, Zizhao Wang, Linjun Shi, Yang Li
2022	J	`jnl`	Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions]. IEEE Robotics Autom. Mag. Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, Philip M. Dames
2022	J	`jnl`	Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022. CoRR Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, Philip M. Dames
2022	—	`conf`	Bezier Curve-Based Shape Knowledge Acquisition and Fusion for Surrogate Model Construction. FTC (1) Peng An, Wenbin Ye, Zizhao Wang, Hua Xiao, Yongsong Long, Jia Hao
2022	A*	`conf`	Causal Dynamics Learning for Task-Independent State Abstraction. ICML Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone
2022	J	`jnl`	Causal Dynamics Learning for Task-Independent State Abstraction. CoRR Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone
2022	Misc	`conf`	Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning. CoRL Yoonchang Sung, Zizhao Wang, Peter Stone
2022	J	`jnl`	Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning. CoRR Yoonchang Sung, Zizhao Wang, Peter Stone
2022	B	`conf`	Semi-Online Multi-Machine with Restart Scheduling for Integrated Edge and Cloud Computing Systems. ICPP Liming Ge, Zizhao Wang, Wei Bao, Dong Yuan, Nguyen Hoang Tran, Bing Bing Zhou, Albert Y. Zomaya
2021	J	`jnl`	APPL: Adaptive Planner Parameter Learning. CoRR Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone
2021	J	`jnl`	APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback. IEEE Robotics Autom. Lett. Zizhao Wang, Xuesu Xiao, Garrett Warnell, Peter Stone
2021	J	`jnl`	APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback. CoRR Zizhao Wang, Xuesu Xiao, Garrett Warnell, Peter Stone
2021	A*	`conf`	APPLI: Adaptive Planner Parameter Learning From Interventions. ICRA Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2021	A*	`conf`	APPLR: Adaptive Planner Parameter Learning from Reinforcement. ICRA Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone
2021	A	`conf`	CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL. IROS Iretiayo Akinola, Zizhao Wang, Peter K. Allen
2021	J	`jnl`	CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL. CoRR Iretiayo Akinola, Zizhao Wang, Peter K. Allen
2021	A	`conf`	From Agile Ground to Aerial Navigation: Learning from Learned Hallucination. IROS Zizhao Wang, Xuesu Xiao, Alexander J. Nettekoven, Kadhiravan Umasankar, Anika Singh, Sriram Bommakanti, Ufuk Topcu, Peter Stone
2021	J	`jnl`	From Agile Ground to Aerial Navigation: Learning from Learned Hallucination. CoRR Zizhao Wang, Xuesu Xiao, Alexander J. Nettekoven, Kadhiravan Umasankar, Anika Singh, Sriram Bommakanti, Ufuk Topcu, Peter Stone
2020	J	`jnl`	APPLI: Adaptive Planner Parameter Learning From Interventions. CoRR Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2020	J	`jnl`	APPLR: Adaptive Planner Parameter Learning from Reinforcement. CoRR Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone
2020	A*	`conf`	Accelerated Robot Learning via Human Brain Signals. ICRA Iretiayo Akinola, Zizhao Wang, Junyao Shi, Xiaomin He, Pawan Lapborisuth, Jingxi Xu, David Watkins-Valls, Paul Sajda, Peter K. Allen
2020	J	`jnl`	Accelerating on-device DNN inference during service outage through scheduling early exit. Comput. Commun. Zizhao Wang, Wei Bao, Dong Yuan, Liming Ge, Nguyen Hoang Tran, Albert Y. Zomaya
2020	A	`conf`	Maximizing BCI Human Feedback using Active Learning. IROS Zizhao Wang, Junyao Shi, Iretiayo Akinola, Peter K. Allen
2020	J	`jnl`	Maximizing BCI Human Feedback using Active Learning. CoRR Zizhao Wang, Junyao Shi, Iretiayo Akinola, Peter K. Allen
2020	A	`conf`	Variational Objectives for Markovian Dynamics with Backward Simulation. ECAI Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er
2019	J	`jnl`	Accelerated Robot Learning via Human Brain Signals. CoRR Iretiayo Akinola, Zizhao Wang, Junyao Shi, Xiaomin He, Pawan Lapborisuth, Jingxi Xu, David Watkins-Valls, Paul Sajda, Peter K. Allen
2019	—	`conf`	Agent-based MR Simulation as a Tool for Combat Search and Rescue Command and Control. AIVR Xiang Ji, Hu Liu, Zizhao Wang, Yuge Li, Yongliang Tian, Mingyu Huo
2019	J	`jnl`	Particle Smoothing Variational Objectives. CoRR Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er
2019	A	`conf`	SEE: Scheduling Early Exit for Mobile DNN Inference during Service Outage. MSWiM Zizhao Wang, Wei Bao, Dong Yuan, Liming Ge, Nguyen Hoang Tran, Albert Y. Zomaya
2019	—	`conf`	Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo. DGS@ICLR Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Itsik Pe'er
2019	—	`conf`	Virtual Simulation of the Maritime Search Operation for Drowning Crew. AIVR Zizhao Wang, Hu Liu, Xiang Ji, Yuge Li, Yongliang Tian, Zikun Chen
2014	—	`conf`	How to Send a Self-Destructing Email: A Method of Self-Destructing Email System. BigData Congress Xiao Fu, Zhijian Wang, Hao Wu, Jia-Qi Yang, Zizhao Wang