Zizhao Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 42

Top Topics

Highly Constrained

Sequential Monte Carlo

Parameter Learning

Top Venues

Publications

Saad Abdul Ghani, Zizhao Wang, Peter Stone, Xuesu Xiao
Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination. CoRR (2024)
Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. AAAI (2024)
Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. CoRR (2024)
Ruibo Fan, Mingli Jing, Jingang Shi, Lan Li, Zizhao Wang
TVRPCA＋: Low-rank and sparse decomposition based on spectral norm and structural sparsity-inducing norm. Signal Process. 217 (2024)
Zizhao Wang, Zhijiang Shao, Hongyu Chen
Robust Sensor Optimization for Liquid Propellant Rocket Engine Model Parameter Estimation. IEEE Trans. Aerosp. Electron. Syst. 60 (4) (2024)
Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martin Martin
ELDEN: Exploration via Local Dependencies. CoRR (2023)
Jiayi Cai, Zhengyan Zhou, Tingxin Sun, Jiashuo Yu, Longlong Zhu, Zizhao Wang, Chengze Li, Dong Zhang, Chunming Wu
MINT: Empowering Multiple Flow Definition Query for Network-Wide Measurement. ICC (2023)
He Yang, Wei Xi, Zizhao Wang, Yuhao Shen, Xinyuan Ji, Cerui Sun, Jizhong Zhao
FedRich: Towards efficient federated learning for heterogeneous clients using heuristic scheduling. Inf. Sci. 645 (2023)
Zizhao Wang, Jiaheng Hu, Peter Stone, Roberto Martín-Martín
ELDEN: Exploration via Local Dependencies. NeurIPS (2023)
Yoonchang Sung, Zizhao Wang, Peter Stone
Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning. CoRR (2022)
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
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions]. IEEE Robotics Autom. Mag. 29 (4) (2022)
Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone
APPL: Adaptive Planner Parameter Learning. Robotics Auton. Syst. 154 (2022)
Peng An, Wenbin Ye, Zizhao Wang, Hua Xiao, Yongsong Long, Jia Hao
Bezier Curve-Based Shape Knowledge Acquisition and Fusion for Surrogate Model Construction. FTC (1) (2022)
Zizhao Wang, Manjuan Huang, Tianyi Tang, Tingting Zhao, Zhenming Li, Huicong Liu
An Electromagnetic Generator for Self-powered Wireless Sensor Node on Transmission Line. EEET (2022)
Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone
Causal Dynamics Learning for Task-Independent State Abstraction. CoRR (2022)
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
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022. CoRR (2022)
Jiawei Wu, Feng Wu, Keman Lin, Zizhao Wang, Linjun Shi, Yang Li
An Improved AP Clustering Algorithm Based Critical Nodes Identification for Distribution Network With High PV Penetration. IEEE Access 10 (2022)
Liming Ge, Zizhao Wang, Wei Bao, Dong Yuan, Nguyen Hoang Tran, Bing Bing Zhou, Albert Y. Zomaya
Semi-Online Multi-Machine with Restart Scheduling for Integrated Edge and Cloud Computing Systems. ICPP (2022)
Yoonchang Sung, Zizhao Wang, Peter Stone
Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning. CoRL (2022)
Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone
Causal Dynamics Learning for Task-Independent State Abstraction. ICML (2022)
Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone
APPL: Adaptive Planner Parameter Learning. CoRR (2021)
Zizhao Wang, Xuesu Xiao, Alexander J. Nettekoven, Kadhiravan Umasankar, Anika Singh, Sriram Bommakanti, Ufuk Topcu, Peter Stone
From Agile Ground to Aerial Navigation: Learning from Learned Hallucination. CoRR (2021)
Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone
APPLR: Adaptive Planner Parameter Learning from Reinforcement. ICRA (2021)
Zizhao Wang, Xuesu Xiao, Garrett Warnell, Peter Stone
APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback. CoRR (2021)
Zizhao Wang, Xuesu Xiao, Garrett Warnell, Peter Stone
APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback. IEEE Robotics Autom. Lett. 6 (4) (2021)
Iretiayo Akinola, Zizhao Wang, Peter K. Allen
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL. IROS (2021)
Zizhao Wang, Xuesu Xiao, Alexander J. Nettekoven, Kadhiravan Umasankar, Anika Singh, Sriram Bommakanti, Ufuk Topcu, Peter Stone
From Agile Ground to Aerial Navigation: Learning from Learned Hallucination. IROS (2021)
Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
APPLI: Adaptive Planner Parameter Learning From Interventions. ICRA (2021)
Iretiayo Akinola, Zizhao Wang, Peter K. Allen
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL. CoRR (2021)
Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er
Variational Objectives for Markovian Dynamics with Backward Simulation. ECAI (2020)
Zizhao Wang, Junyao Shi, Iretiayo Akinola, Peter K. Allen
Maximizing BCI Human Feedback using Active Learning. CoRR (2020)
Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone
APPLR: Adaptive Planner Parameter Learning from Reinforcement. CoRR (2020)
Iretiayo Akinola, Zizhao Wang, Junyao Shi, Xiaomin He, Pawan Lapborisuth, Jingxi Xu, David Watkins-Valls, Paul Sajda, Peter K. Allen
Accelerated Robot Learning via Human Brain Signals. ICRA (2020)
Zizhao Wang, Junyao Shi, Iretiayo Akinola, Peter K. Allen
Maximizing BCI Human Feedback using Active Learning. IROS (2020)
Zizhao Wang, Wei Bao, Dong Yuan, Liming Ge, Nguyen H. Tran, Albert Y. Zomaya
Accelerating on-device DNN inference during service outage through scheduling early exit. Comput. Commun. 162 (2020)
Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
APPLI: Adaptive Planner Parameter Learning From Interventions. CoRR (2020)
Xiang Ji, Hu Liu, Zizhao Wang, Yuge Li, Yongliang Tian, Mingyu Huo
Agent-based MR Simulation as a Tool for Combat Search and Rescue Command and Control. AIVR (2019)
Zizhao Wang, Wei Bao, Dong Yuan, Liming Ge, Nguyen H. Tran, Albert Y. Zomaya
SEE: Scheduling Early Exit for Mobile DNN Inference during Service Outage. MSWiM (2019)
Iretiayo Akinola, Zizhao Wang, Junyao Shi, Xiaomin He, Pawan Lapborisuth, Jingxi Xu, David Watkins-Valls, Paul Sajda, Peter K. Allen
Accelerated Robot Learning via Human Brain Signals. CoRR (2019)
Zizhao Wang, Hu Liu, Xiang Ji, Yuge Li, Yongliang Tian, Zikun Chen
Virtual Simulation of the Maritime Search Operation for Drowning Crew. AIVR (2019)
Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Itsik Pe'er
Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo. DGS@ICLR (2019)
Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er
Particle Smoothing Variational Objectives. CoRR (2019)