Zizhao Wang

According to our database, Zizhao Wang authored at least 29 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TVRPCA＋: Low-rank and sparse decomposition based on spectral norm and structural sparsity-inducing norm.

Ruibo Fan, Mingli Jing, Jingang Shi, Lan Li, Zizhao Wang

Signal Process., April, 2024

Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination.

Saad Abdul Ghani, Zizhao Wang, Peter Stone, Xuesu Xiao

CoRR, 2024

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning.

Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FedRich: Towards efficient federated learning for heterogeneous clients using heuristic scheduling.

He Yang, Wei Xi, Zizhao Wang, Yuhao Shen, Xinyuan Ji, Cerui Sun, Jizhong Zhao

Inf. Sci., October, 2023

ELDEN: Exploration via Local Dependencies.

Zizhao Wang, Jiaheng Hu, Peter Stone, Roberto Martín-Martín

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MINT: Empowering Multiple Flow Definition Query for Network-Wide Measurement.

Jiayi Cai, Zhengyan Zhou, Tingxin Sun, Jiashuo Yu, Longlong Zhu, Zizhao Wang, Chengze Li, Dong Zhang, Chunming Wu

Proceedings of the IEEE International Conference on Communications, 2023

2022

APPL: Adaptive Planner Parameter Learning.

Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone

Robotics Auton. Syst., 2022

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions].

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

IEEE Robotics Autom. Mag., 2022

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 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

CoRR, 2022

An Improved AP Clustering Algorithm Based Critical Nodes Identification for Distribution Network With High PV Penetration.

Jiawei Wu, Feng Wu, Keman Lin, Zizhao Wang, Linjun Shi, Yang Li

IEEE Access, 2022

Semi-Online Multi-Machine with Restart Scheduling for Integrated Edge and Cloud Computing Systems.

Liming Ge, Zizhao Wang, Wei Bao, Dong Yuan, Nguyen Hoang Tran, Bing Bing Zhou, Albert Y. Zomaya

Proceedings of the 51st International Conference on Parallel Processing, 2022

Causal Dynamics Learning for Task-Independent State Abstraction.

Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone

Proceedings of the International Conference on Machine Learning, 2022

Bezier Curve-Based Shape Knowledge Acquisition and Fusion for Surrogate Model Construction.

Peng An, Wenbin Ye, Zizhao Wang, Hua Xiao, Yongsong Long, Jia Hao

Proceedings of the Future Technologies Conference, 2022

An Electromagnetic Generator for Self-powered Wireless Sensor Node on Transmission Line.

Zizhao Wang, Manjuan Huang, Tianyi Tang, Tingting Zhao, Zhenming Li, Huicong Liu

Proceedings of the 5th International Conference on Electronics and Electrical Engineering Technology, 2022

Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning.

Yoonchang Sung, Zizhao Wang, Peter Stone

Proceedings of the Conference on Robot Learning, 2022

2021

APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback.

Zizhao Wang, Xuesu Xiao, Garrett Warnell, Peter Stone

IEEE Robotics Autom. Lett., October, 2021

From Agile Ground to Aerial Navigation: Learning from Learned Hallucination.

Zizhao Wang, Xuesu Xiao, Alexander J. Nettekoven, Kadhiravan Umasankar, Anika Singh, Sriram Bommakanti, Ufuk Topcu, Peter Stone

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL.

Iretiayo Akinola, Zizhao Wang, Peter K. Allen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

APPLR: Adaptive Planner Parameter Learning from Reinforcement.

Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

APPLI: Adaptive Planner Parameter Learning From Interventions.

Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Accelerating on-device DNN inference during service outage through scheduling early exit.

Zizhao Wang, Wei Bao, Dong Yuan, Liming Ge, Nguyen Hoang Tran, Albert Y. Zomaya

Comput. Commun., 2020

Maximizing BCI Human Feedback using Active Learning.

Zizhao Wang, Junyao Shi, Iretiayo Akinola, Peter K. Allen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Accelerated Robot Learning via Human Brain Signals.

Iretiayo Akinola, Zizhao Wang, Junyao Shi, Xiaomin He, Pawan Lapborisuth, Jingxi Xu, David Watkins-Valls, Paul Sajda, Peter K. Allen

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Variational Objectives for Markovian Dynamics with Backward Simulation.

Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Particle Smoothing Variational Objectives.

Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er

CoRR, 2019

SEE: Scheduling Early Exit for Mobile DNN Inference during Service Outage.

Zizhao Wang, Wei Bao, Dong Yuan, Liming Ge, Nguyen Hoang Tran, Albert Y. Zomaya

Proceedings of the 22nd International ACM Conference on Modeling, 2019

Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo.

Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Itsik Pe'er

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Virtual Simulation of the Maritime Search Operation for Drowning Crew.

Zizhao Wang, Hu Liu, Xiang Ji, Yuge Li, Yongliang Tian, Zikun Chen

Proceedings of the 2019 3rd International Conference on Artificial Intelligence and Virtual Reality, 2019

Agent-based MR Simulation as a Tool for Combat Search and Rescue Command and Control.

Xiang Ji, Hu Liu, Zizhao Wang, Yuge Li, Yongliang Tian, Mingyu Huo

Proceedings of the 2019 3rd International Conference on Artificial Intelligence and Virtual Reality, 2019