Hongkuan Zhou

According to our database, Hongkuan Zhou authored at least 32 papers between 2016 and 2024.

Collaborative distances:

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

2024

Language-Conditioned Imitation Learning With Base Skill Priors Under Unstructured Data.

Hongkuan Zhou, Zhenshan Bing, Xiangtong Yao, Xiaojie Su, Chenguang Yang, Kai Huang, Alois Knoll

IEEE Robotics Autom. Lett., November, 2024

Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes.

Hao Wang, Ruonan Liu, Steven X. Ding, Qinghua Hu, Zengxiang Li, Hongkuan Zhou

IEEE Trans. Ind. Informatics, February, 2024

A time series and deep fusion framework for rotating machinery fault diagnosis.

Jiasheng Zhang, Di Hu, Tao Yang, Hongkuan Zhou, Xianling Li

Eng. Appl. Artif. Intell., 2024

Learning Personalized Scoping for Graph Neural Networks under Heterophily.

Gangda Deng, Hongkuan Zhou, Rajgopal Kannan, Viktor K. Prasanna

CoRR, 2024

TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning.

Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

Solving Robotic Manipulation With Sparse Reward Reinforcement Learning Via Graph-Based Diversity and Proximity.

Zhenshan Bing, Hongkuan Zhou, Rui Li, Xiaojie Su, Fabrice O. Morin, Kai Huang, Alois C. Knoll

IEEE Trans. Ind. Electron., 2023

Language-conditioned Learning for Robotic Manipulation: A Survey.

Hongkuan Zhou, Xiangtong Yao, Yuan Meng, Siming Sun, Zhenshan Bing, Kai Huang, Alois Knoll

CoRR, 2023

What Matters to Enhance Traffic Rule Compliance of Imitation Learning for Automated Driving.

Hongkuan Zhou, Aifen Sui, Wei Cao, Letian Shi

CoRR, 2023

Penalty-Based Imitation Learning With Cross Semantics Generation Sensor Fusion for Autonomous Driving.

Hongkuan Zhou, Aifen Sui, Letian Shi

CoRR, 2023

DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training.

Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna

Proceedings of the International Conference for High Performance Computing, 2023

An Efficient Distributed Graph Engine for Deep Learning on Graphs.

Gangda Deng, Ömer Faruk Akgül, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor K. Prasanna

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Spectral Efficiency Analysis of Downlink Transmission for Two-Way Cell-Free Massive MIMO System With Few-Bit ADCs.

Jiaxi Cui, Pei Liu, Kehao Wang, Hongkuan Zhou, Yue Zhang, Xinghua Sun, Stefano Buzzi

Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Penalty-Based Imitation Learning With Cross Semantics Generation Sensor Fusion for Autonomous Driving.

Hongkuan Zhou, Aifen Sui, Letian Shi, Yinxian Li

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Learning from Symmetry: Meta-Reinforcement Learning with Symmetrical Behaviors and Language Instructions.

Xiangtong Yao, Zhenshan Bing, Genghang Zhuang, Kejia Chen, Hongkuan Zhou, Kai Huang, Alois Knoll

IROS, 2023

HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN.

Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna

Proceedings of the IEEE INFOCOM 2023, 2023

2022

TGL: A General Framework for Temporal GNN Training onBillion-Scale Graphs.

Hongkuan Zhou, Da Zheng, Israt Nisa, Vassilis N. Ioannidis, Xiang Song, George Karypis

Proc. VLDB Endow., 2022

Learning from Symmetry: Meta-Reinforcement Learning with Symmetric Data and Language Instructions.

Xiangtong Yao, Zhenshan Bing, Genghang Zhuang, Kejia Chen, Hongkuan Zhou, Kai Huang, Alois C. Knoll

CoRR, 2022

TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs.

Hongkuan Zhou, Da Zheng, Israt Nisa, Vasileios Ioannidis, Xiang Song, George Karypis

CoRR, 2022

Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA.

Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Throughput optimization in heterogeneous MIMO networks: a GNN-based approach.

Ta-Yang Wang, Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna

Proceedings of the 1st International Workshop on Graph Neural Networking, 2022

2021

Deep Dynamic Adaptive Transfer Network for Rolling Bearing Fault Diagnosis With Considering Cross-Machine Instance.

Yuxuan Zhou, Yining Dong, Hongkuan Zhou, Gang Tang

IEEE Trans. Instrum. Meas., 2021

Accelerating Large Scale Real-Time GNN Inference using Channel Pruning.

Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna

Proc. VLDB Endow., 2021

Accurate, efficient and scalable training of Graph Neural Networks.

Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna

J. Parallel Distributed Comput., 2021

Anti-jamming strategy based on game theory in single-channel UAV communication network.

Jiangwei Xu, Kehao Wang, Xun Zhang, Pei Liu, Dejin Kong, Hongkuan Zhou

Proceedings of the Sixth International Conference on Fog and Mobile Edge Computing, 2021

SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings.

Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

GraphSAINT: Graph Sampling Based Inductive Learning Method.

Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Decision Tree Based Sea-Surface Weak Target Detection With False Alarm Rate Controllable.

Hongkuan Zhou, Tao Jiang

IEEE Signal Process. Lett., 2019

Accurate, Efficient and Scalable Graph Embedding.

Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware.

Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2018

To Relay or Not to Relay: Open Distance and Optimal Deployment for Linear Underwater Acoustic Networks.

Yuzhou Li, Yu Zhang, Hongkuan Zhou, Tao Jiang

IEEE Trans. Commun., 2018

Sea Clutter Distribution Modeling: A Kernel Density Estimation Approach.

Hongkuan Zhou, Yuzhou Li, Tao Jiang

Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

2016

Optimal Estimation in Wireless Sensor Networks With Energy Harvesting.

Hongkuan Zhou, Tao Jiang, Chen Gong, Yang Zhou

IEEE Trans. Veh. Technol., 2016