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ORCIDZizhao Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j8]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: 109319 (2024)- [j7]Zizhao Wang, Zhijiang Shao, Hongyu Chen:
Robust Sensor Optimization for Liquid Propellant Rocket Engine Model Parameter Estimation. IEEE Trans. Aerosp. Electron. Syst. 60(4): 4994-5009 (2024) - [c21]Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone:
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. AAAI 2024: 15778-15786 - [c20]Zizhao Wang, Qiang Qu, Nan Han, Zhelang Deng, Yizhuo Ma, Xiaowen Huang, Jintao Meng:
REXIO: Indexing for Low Write Amplification by Reducing Extra I/Os in Key-Value Store Under Mixed Read/Write Workloads. WISE (1) 2024: 245-258 - [i17]Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone:
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. CoRR abs/2401.12497 (2024) - [i16]Saad Abdul Ghani, Zizhao Wang, Peter Stone, Xuesu Xiao:
Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination. CoRR abs/2403.17231 (2024) - [i15]Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martín-Martín:
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning. CoRR abs/2410.11251 (2024) - [i14]Zizhao Wang, Jiaheng Hu, Caleb Chuck, Stephen Chen, Roberto Martín-Martín, Amy Zhang, Scott Niekum, Peter Stone:
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions. CoRR abs/2410.18416 (2024) - 2023
- [j6]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: 119360 (2023) - [c19]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: 1118-1123 - [c18]Zizhao Wang, Jiaheng Hu, Peter Stone, Roberto Martín-Martín:
ELDEN: Exploration via Local Dependencies. NeurIPS 2023 - [i13]Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martin Martin:
ELDEN: Exploration via Local Dependencies. CoRR abs/2310.08702 (2023) - 2022
- [j5]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: 124619-124628 (2022) - [j4]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): 148-156 (2022) - [j3]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: 104132 (2022) - [c17]Yoonchang Sung, Zizhao Wang, Peter Stone:
Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning. CoRL 2022: 2115-2124 - [c16]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: 55-58 - [c15]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: 328-342 - [c14]Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone:
Causal Dynamics Learning for Task-Independent State Abstraction. ICML 2022: 23151-23180 - [c13]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: 70:1-70:13 - [i12]Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone:
Causal Dynamics Learning for Task-Independent State Abstraction. CoRR abs/2206.13452 (2022) - [i11]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 abs/2208.10473 (2022) - [i10]Yoonchang Sung, Zizhao Wang, Peter Stone:
Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning. CoRR abs/2211.07847 (2022) - 2021
- [j2]Zizhao Wang, Xuesu Xiao, Garrett Warnell, Peter Stone:
APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback. IEEE Robotics Autom. Lett. 6(4): 7744-7749 (2021) - [c12]Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone:
APPLI: Adaptive Planner Parameter Learning From Interventions. ICRA 2021: 6079-6085 - [c11]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: 6086-6092 - [c10]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: 148-153 - [c9]Iretiayo Akinola, Zizhao Wang, Peter K. Allen:
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL. IROS 2021: 2376-2382 - [i9]Iretiayo Akinola, Zizhao Wang, Peter K. Allen:
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL. CoRR abs/2103.13267 (2021) - [i8]Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone:
APPL: Adaptive Planner Parameter Learning. CoRR abs/2105.07620 (2021) - [i7]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 abs/2108.09793 (2021) - [i6]Zizhao Wang, Xuesu Xiao, Garrett Warnell, Peter Stone:
APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback. CoRR abs/2108.09801 (2021) - 2020
- [j1]Zizhao Wang, Wei Bao, Dong Yuan, Liming Ge, Nguyen Hoang Tran, Albert Y. Zomaya:
Accelerating on-device DNN inference during service outage through scheduling early exit. Comput. Commun. 162: 69-82 (2020) - [c8]Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er:
Variational Objectives for Markovian Dynamics with Backward Simulation. ECAI 2020: 1371-1378 - [c7]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: 3799-3805 - [c6]Zizhao Wang, Junyao Shi, Iretiayo Akinola, Peter K. Allen:
Maximizing BCI Human Feedback using Active Learning. IROS 2020: 10945-10951 - [i5]Zizhao Wang, Junyao Shi, Iretiayo Akinola, Peter K. Allen:
Maximizing BCI Human Feedback using Active Learning. CoRR abs/2008.04873 (2020) - [i4]Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone:
APPLR: Adaptive Planner Parameter Learning from Reinforcement. CoRR abs/2011.00397 (2020) - [i3]Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone:
APPLI: Adaptive Planner Parameter Learning From Interventions. CoRR abs/2011.00400 (2020)
2010 – 2019
- 2019
- [c5]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: 1-7 - [c4]Zizhao Wang, Hu Liu, Xiang Ji, Yuge Li, Yongliang Tian, Zikun Chen:
Virtual Simulation of the Maritime Search Operation for Drowning Crew. AIVR 2019: 12-16 - [c3]Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Itsik Pe'er:
Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo. DGS@ICLR 2019 - [c2]Zizhao Wang, Wei Bao, Dong Yuan, Liming Ge, Nguyen Hoang Tran, Albert Y. Zomaya:
SEE: Scheduling Early Exit for Mobile DNN Inference during Service Outage. MSWiM 2019: 279-288 - [i2]Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er:
Particle Smoothing Variational Objectives. CoRR abs/1909.09734 (2019) - [i1]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 abs/1910.00682 (2019) - 2014
- [c1]Xiao Fu, Zhijian Wang, Hao Wu, Jia-qi Yang, Zizhao Wang:
How to Send a Self-Destructing Email: A Method of Self-Destructing Email System. BigData Congress 2014: 304-309
Coauthor Index
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last updated on 2024-12-23 19:31 CET by the dblp team
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