Zheyuan Hu

According to our database, Zheyuan Hu authored at least 30 papers between 2020 and 2024.

Collaborative distances:

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

2024

Achieving Fast Environment Adaptation of DRL-Based Computation Offloading in Mobile Edge Computing.

Zheyuan Hu, Jianwei Niu, Tao Ren, Mohsen Guizani

IEEE Trans. Mob. Comput., May, 2024

Yell At Your Robot: Improving On-the-Fly from Language Corrections.

Lucy Xiaoyang Shi, Zheyuan Hu, Tony Z. Zhao, Archit Sharma, Karl Pertsch, Jianlan Luo, Sergey Levine, Chelsea Finn

CoRR, 2024

Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations.

Zheyuan Hu, Zhongqiang Zhang, George Em Karniadakis, Kenji Kawaguchi

CoRR, 2024

SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning.

Jianlan Luo, Zheyuan Hu, Charles Xu, You Liang Tan, Jacob Berg, Archit Sharma, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine

CoRR, 2024

2023

Assembly makespan estimation using features extracted by a topic model.

Zheyuan Hu, Yi Cheng, Hui Xiong, Xu Zhang

Knowl. Based Syst., 2023

Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks.

Zheyuan Hu, Zekun Shi, George Em Karniadakis, Kenji Kawaguchi

CoRR, 2023

Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs.

Zheyuan Hu, Zhouhao Yang, Yezhen Wang, George Em Karniadakis, Kenji Kawaguchi

CoRR, 2023

Tackling the Curse of Dimensionality with Physics-Informed Neural Networks.

Zheyuan Hu, Khemraj Shukla, George Em Karniadakis, Kenji Kawaguchi

CoRR, 2023

FEAT: Towards Fast Environment-Adaptive Task Offloading and Power Allocation in MEC.

Tao Ren, Zheyuan Hu, Hang He, Jianwei Niu, Xuefeng Liu

Proceedings of the IEEE INFOCOM 2023, 2023

Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance.

Kelvin Xu, Zheyuan Hu, Ria Doshi, Aaron Rovinsky, Vikash Kumar, Abhishek Gupta, Sergey Levine

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory.

Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

TransOff: Towards Fast Transferable Computation Offloading in MEC via Embedded Reinforcement Learning.

Zheyuan Hu, Jianwei Niu, Tao Ren

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation.

Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine

Proceedings of the Conference on Robot Learning, 2023

2022

Towards Energy-Efficient Scheduling of UAV and Base Station Hybrid Enabled Mobile Edge Computing.

Bin Dai, Jianwei Niu, Tao Ren, Zheyuan Hu, Mohammed Atiquzzaman

IEEE Trans. Veh. Technol., 2022

An Efficient Online Computation Offloading Approach for Large-Scale Mobile Edge Computing via Deep Reinforcement Learning.

Zheyuan Hu, Jianwei Niu, Tao Ren, Bin Dai, Qingfeng Li, Mingliang Xu, Sajal K. Das

IEEE Trans. Serv. Comput., 2022

When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization?

Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi

SIAM J. Sci. Comput., 2022

Enabling Efficient Scheduling in Large-Scale UAV-Assisted Mobile-Edge Computing via Hierarchical Reinforcement Learning.

Tao Ren, Jianwei Niu, Bin Dai, Xuefeng Liu, Zheyuan Hu, Mingliang Xu, Mohsen Guizani

IEEE Internet Things J., 2022

Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology.

Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi

CoRR, 2022

Enhancing Collaborative Filtering Recommender with Prompt-Based Sentiment Analysis.

Elliot Dang, Zheyuan Hu, Tong Li

CoRR, 2022

2021

Changes Detection and Object-Oriented Classification of Major Wetland Cover Types in Response to Driving Forces in Zoige County, Eastern Qinghai-Tibetan Plateau.

Xuexia Zhang, Shujing Fu, Zheyuan Hu, Jinxing Zhou, Xue Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Computation Offloading and Resource Allocation Based on Multi-agent Federated Learning.

Yiming Yao, Tao Ren, Yuan Qiu, Zheyuan Hu, Yanqi Li

Proceedings of the Smart Computing and Communication - 6th International Conference, 2021

Multi-agent Computation Offloading in UAV Assisted MEC via Deep Reinforcement Learning.

Hang He, Tao Ren, Yuan Qiu, Zheyuan Hu, Yanqi Li

Proceedings of the Smart Computing and Communication - 6th International Conference, 2021

Kernelized Heterogeneous Risk Minimization.

Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Distributed Task Offloading based on Multi-Agent Deep Reinforcement Learning.

Shucheng Hu, Tao Ren, Jianwei Niu, Zheyuan Hu, Guoliang Xing

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Object Pose Estimation for Robotic Grasping based on Multi-view Keypoint Detection.

Zheyuan Hu, Renluan Hou, Jianwei Niu, Xiaolong Yu, Tao Ren, Qingfeng Li

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

A Distributed Computation Offloading Scheduling Framework based on Deep Reinforcement Learning.

Bin Dai, Tao Ren, Jianwei Niu, Zheyuan Hu, Shucheng Hu, Meikang Qiu

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Heterogeneous Risk Minimization.

Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Intelligent Safety Monitoring and Early Warning System for Construction Site.

Zheyuan Hu, Jun Cai, Huiwei Wang, Dehao Zhang, Yang Liu, Xin Li, Yanlong Li, Fengyan Zhao, Hongjun Zhang

Proceedings of the WSSE 2020: The 2nd World Symposium on Software Engineering, 2020

ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction.

Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Resource Management Model for Real-time Edge System of Multiple Robots.

Zheyuan Hu, Jianwei Niu, Tao Ren, Huiyong Li, Ye Rui, Yuan Qiu, Liang Bai

Proceedings of the 7th IEEE International Conference on Cyber Security and Cloud Computing, 2020