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Zheyuan Hu
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2020 – today
- 2024
- [j10]Zheyuan Hu, Xu Zhang, Hui Xiong:
Two-stage attention network for fault diagnosis and retrieval of fault logs. Expert Syst. Appl. 249: 123365 (2024) - [j9]Zheyuan Hu, Khemraj Shukla, George Em Karniadakis, Kenji Kawaguchi:
Tackling the curse of dimensionality with physics-informed neural networks. Neural Networks 176: 106369 (2024) - [j8]Zheyuan Hu, Jianwei Niu, Tao Ren, Mohsen Guizani:
Achieving Fast Environment Adaptation of DRL-Based Computation Offloading in Mobile Edge Computing. IEEE Trans. Mob. Comput. 23(5): 6347-6362 (2024) - [c18]Mingdao Li, Peng Peng, Zheyuan Hu, Lei Zou, Zheng Qin:
Variable-Length Path Query Evaluation Based on Worst-Case Optimal Joins. ICDE 2024: 3311-3323 - [c17]Jianlan Luo, Zheyuan Hu, Charles Xu, You Liang Tan, Jacob Berg, Archit Sharma, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine:
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning. ICRA 2024: 16961-16969 - [c16]Tao Ren, Zheyuan Hu, Jianwei Niu, Weikun Feng, Hang He:
M3OFF: Module-Compositional Model-Free Computation Offloading in Multi-Environment MEC. INFOCOM 2024: 2249-2258 - [i19]Jianlan Luo, Zheyuan Hu, Charles Xu, You Liang Tan, Jacob Berg, Archit Sharma, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine:
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning. CoRR abs/2401.16013 (2024) - [i18]Zheyuan Hu, Zhongqiang Zhang, George Em Karniadakis, Kenji Kawaguchi:
Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations. CoRR abs/2402.07465 (2024) - [i17]Lucy Xiaoyang Shi, Zheyuan Hu, Tony Z. Zhao, Archit Sharma, Karl Pertsch, Jianlan Luo, Sergey Levine, Chelsea Finn:
Yell At Your Robot: Improving On-the-Fly from Language Corrections. CoRR abs/2403.12910 (2024) - [i16]Taorui Wang, Zheyuan Hu, Kenji Kawaguchi, Zhongqiang Zhang, George Em Karniadakis:
Tensor neural networks for high-dimensional Fokker-Planck equations. CoRR abs/2404.05615 (2024) - [i15]Zheyuan Hu, Zhongqiang Zhang, George Em Karniadakis, Kenji Kawaguchi:
Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Levy Equations. CoRR abs/2406.11676 (2024) - [i14]Zheyuan Hu, Kenji Kawaguchi, Zhongqiang Zhang, George Em Karniadakis:
Tackling the Curse of Dimensionality in Fractional and Tempered Fractional PDEs with Physics-Informed Neural Networks. CoRR abs/2406.11708 (2024) - [i13]Zheyuan Hu, Nazanin Ahmadi Daryakenari, Qianli Shen, Kenji Kawaguchi, George Em Karniadakis:
State-space models are accurate and efficient neural operators for dynamical systems. CoRR abs/2409.03231 (2024) - 2023
- [j7]Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi:
Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology. Eng. Appl. Artif. Intell. 126: 107183 (2023) - [j6]Zheyuan Hu, Yi Cheng, Hui Xiong, Xu Zhang:
Assembly makespan estimation using features extracted by a topic model. Knowl. Based Syst. 276: 110738 (2023) - [c15]Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine:
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation. CoRL 2023: 1930-1949 - [c14]Zheyuan Hu, Jianwei Niu, Tao Ren:
TransOff: Towards Fast Transferable Computation Offloading in MEC via Embedded Reinforcement Learning. ICDCS 2023: 931-941 - [c13]Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan:
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. ICLR 2023 - [c12]Kelvin Xu, Zheyuan Hu, Ria Doshi, Aaron Rovinsky, Vikash Kumar, Abhishek Gupta, Sergey Levine:
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance. ICRA 2023: 5938-5945 - [c11]Tao Ren, Zheyuan Hu, Hang He, Jianwei Niu, Xuefeng Liu:
FEAT: Towards Fast Environment-Adaptive Task Offloading and Power Allocation in MEC. INFOCOM 2023: 1-10 - [i12]Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan:
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. CoRR abs/2303.00399 (2023) - [i11]Zheyuan Hu, Khemraj Shukla, George Em Karniadakis, Kenji Kawaguchi:
Tackling the Curse of Dimensionality with Physics-Informed Neural Networks. CoRR abs/2307.12306 (2023) - [i10]Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine:
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation. CoRR abs/2309.03322 (2023) - [i9]Zheyuan Hu, Zhouhao Yang, Yezhen Wang, George Em Karniadakis, Kenji Kawaguchi:
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs. CoRR abs/2311.15283 (2023) - [i8]Zheyuan Hu, Zekun Shi, George Em Karniadakis, Kenji Kawaguchi:
Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks. CoRR abs/2312.14499 (2023) - 2022
- [j5]Tao Ren, Jianwei Niu, Bin Dai, Xuefeng Liu, Zheyuan Hu, Mingliang Xu, Mohsen Guizani:
Enabling Efficient Scheduling in Large-Scale UAV-Assisted Mobile-Edge Computing via Hierarchical Reinforcement Learning. IEEE Internet Things J. 9(10): 7095-7109 (2022) - [j4]Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi:
When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? SIAM J. Sci. Comput. 44(5): 3158- (2022) - [j3]Zheyuan Hu, Jianwei Niu, Tao Ren, Bin Dai, Qingfeng Li, Mingliang Xu, Sajal K. Das:
An Efficient Online Computation Offloading Approach for Large-Scale Mobile Edge Computing via Deep Reinforcement Learning. IEEE Trans. Serv. Comput. 15(2): 669-683 (2022) - [j2]Bin Dai, Jianwei Niu, Tao Ren, Zheyuan Hu, Mohammed Atiquzzaman:
Towards Energy-Efficient Scheduling of UAV and Base Station Hybrid Enabled Mobile Edge Computing. IEEE Trans. Veh. Technol. 71(1): 915-930 (2022) - [i7]Elliot Dang, Zheyuan Hu, Tong Li:
Enhancing Collaborative Filtering Recommender with Prompt-Based Sentiment Analysis. CoRR abs/2207.12883 (2022) - [i6]Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi:
Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology. CoRR abs/2211.08939 (2022) - [i5]Kelvin Xu, Zheyuan Hu, Ria Doshi, Aaron Rovinsky, Vikash Kumar, Abhishek Gupta, Sergey Levine:
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance. CoRR abs/2212.09902 (2022) - 2021
- [j1]Xuexia Zhang, Shujing Fu, Zheyuan Hu, Jinxing Zhou, Xue Zhang:
Changes Detection and Object-Oriented Classification of Major Wetland Cover Types in Response to Driving Forces in Zoige County, Eastern Qinghai-Tibetan Plateau. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9297-9305 (2021) - [c10]Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen:
Heterogeneous Risk Minimization. ICML 2021: 6804-6814 - [c9]Bin Dai, Tao Ren, Jianwei Niu, Zheyuan Hu, Shucheng Hu, Meikang Qiu:
A Distributed Computation Offloading Scheduling Framework based on Deep Reinforcement Learning. ISPA/BDCloud/SocialCom/SustainCom 2021: 413-420 - [c8]Zheyuan Hu, Renluan Hou, Jianwei Niu, Xiaolong Yu, Tao Ren, Qingfeng Li:
Object Pose Estimation for Robotic Grasping based on Multi-view Keypoint Detection. ISPA/BDCloud/SocialCom/SustainCom 2021: 1295-1302 - [c7]Shucheng Hu, Tao Ren, Jianwei Niu, Zheyuan Hu, Guoliang Xing:
Distributed Task Offloading based on Multi-Agent Deep Reinforcement Learning. MSN 2021: 575-583 - [c6]Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen:
Kernelized Heterogeneous Risk Minimization. NeurIPS 2021: 21720-21731 - [c5]Yiming Yao, Tao Ren, Yuan Qiu, Zheyuan Hu, Yanqi Li:
Computation Offloading and Resource Allocation Based on Multi-agent Federated Learning. SmartCom 2021: 404-415 - [c4]Hang He, Tao Ren, Yuan Qiu, Zheyuan Hu, Yanqi Li:
Multi-agent Computation Offloading in UAV Assisted MEC via Deep Reinforcement Learning. SmartCom 2021: 416-426 - [i4]Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen:
Heterogeneous Risk Minimization. CoRR abs/2105.03818 (2021) - [i3]Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi:
When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? CoRR abs/2109.09444 (2021) - [i2]Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen:
Kernelized Heterogeneous Risk Minimization. CoRR abs/2110.12425 (2021) - 2020
- [c3]Zheyuan Hu, Jianwei Niu, Tao Ren, Huiyong Li, Ye Rui, Yuan Qiu, Liang Bai:
A Resource Management Model for Real-time Edge System of Multiple Robots. CSCloud/EdgeCom 2020: 222-227 - [c2]Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee:
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. KDD 2020: 731-752 - [c1]Zheyuan Hu, Jun Cai, Huiwei Wang, Dehao Zhang, Yang Liu, Xin Li, Yanlong Li, Fengyan Zhao, Hongjun Zhang:
Intelligent Safety Monitoring and Early Warning System for Construction Site. WSSE 2020: 6-11 - [i1]Zhongkai Hao, Chengqiang Lu, Zheyuan Hu, Hao Wang, Zhenya Huang, Qi Liu, Enhong Chen, Cheekong Lee:
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. CoRR abs/2007.03196 (2020)
Coauthor Index
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last updated on 2024-10-10 22:19 CEST by the dblp team
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