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ORCIDHongkuan Zhou
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
[j11]Jiasheng Zhang, Di Hu, Tao Yang, Hongkuan Zhou, Xianling Li:
A time series and deep fusion framework for rotating machinery fault diagnosis. Eng. Appl. Artif. Intell. 128: 107456 (2024)- [j10]Hongkuan Zhou
, Zhenshan Bing, Xiangtong Yao, Xiaojie Su, Chenguang Yang, Kai Huang, Alois Knoll:
Language-Conditioned Imitation Learning With Base Skill Priors Under Unstructured Data. IEEE Robotics Autom. Lett. 9(11): 9805-9812 (2024) - [j9]Hao Wang, Ruonan Liu, Steven X. Ding, Qinghua Hu, Zengxiang Li, Hongkuan Zhou:
Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Ind. Informatics 20(2): 1987-1996 (2024) - [c15]Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna:
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. IPDPS 2024: 926-937 - [i20]Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna:
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. CoRR abs/2402.05396 (2024) - [i19]Gangda Deng, Hongkuan Zhou, Rajgopal Kannan, Viktor K. Prasanna:
Learning Personalized Scoping for Graph Neural Networks under Heterophily. CoRR abs/2409.06998 (2024) - [i18]Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka, Stefan Schmid, Yuqicheng Zhu, Bo Xiong, Steffen Staab:
Visual Representation Learning Guided By Multi-modal Prior Knowledge. CoRR abs/2410.15981 (2024) - 2023
- [j8]Zhenshan Bing, Hongkuan Zhou, Rui Li, Xiaojie Su, Fabrice O. Morin, Kai Huang, Alois C. Knoll:
Solving Robotic Manipulation With Sparse Reward Reinforcement Learning Via Graph-Based Diversity and Proximity. IEEE Trans. Ind. Electron. 70(3): 2759-2769 (2023) - [c14]Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna:
HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. INFOCOM 2023: 1-10 - [c13]Xiangtong Yao, Zhenshan Bing, Genghang Zhuang, Kejia Chen, Hongkuan Zhou, Kai Huang, Alois Knoll:
Learning from Symmetry: Meta-Reinforcement Learning with Symmetrical Behaviors and Language Instructions. IROS 2023: 5574-5581 - [c12]Hongkuan Zhou, Aifen Sui, Letian Shi, Yinxian Li:
Penalty-Based Imitation Learning With Cross Semantics Generation Sensor Fusion for Autonomous Driving. ITSC 2023: 1876-1883 - [c11]Jiaxi Cui, Pei Liu, Kehao Wang, Hongkuan Zhou, Yue Zhang, Xinghua Sun, Stefano Buzzi:
Spectral Efficiency Analysis of Downlink Transmission for Two-Way Cell-Free Massive MIMO System With Few-Bit ADCs. PIMRC 2023: 1-7 - [c10]Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna:
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. SC 2023: 39:1-39:12 - [c9]Gangda Deng, Ömer Faruk Akgül, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor K. Prasanna:
An Efficient Distributed Graph Engine for Deep Learning on Graphs. SC Workshops 2023: 922-931 - [i17]Hongkuan Zhou, Aifen Sui, Letian Shi:
Penalty-Based Imitation Learning With Cross Semantics Generation Sensor Fusion for Autonomous Driving. CoRR abs/2303.11888 (2023) - [i16]Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna:
HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. CoRR abs/2304.10013 (2023) - [i15]Hongkuan Zhou, Zhenshan Bing, Xiangtong Yao, Xiaojie Su, Chenguang Yang, Kai Huang, Alois C. Knoll:
Language-Conditioned Imitation Learning with Base Skill Priors under Unstructured Data. CoRR abs/2305.19075 (2023) - [i14]Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna:
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. CoRR abs/2307.07649 (2023) - [i13]Hongkuan Zhou, Aifen Sui, Wei Cao, Letian Shi:
What Matters to Enhance Traffic Rule Compliance of Imitation Learning for Automated Driving. CoRR abs/2309.07808 (2023) - [i12]Hongkuan Zhou, Xiangtong Yao, Yuan Meng, Siming Sun, Zhenshan Bing, Kai Huang, Alois Knoll:
Language-conditioned Learning for Robotic Manipulation: A Survey. CoRR abs/2312.10807 (2023) - 2022
- [j7]Hongkuan Zhou, Da Zheng, Israt Nisa, Vassilis N. Ioannidis, Xiang Song, George Karypis:
TGL: A General Framework for Temporal GNN Training onBillion-Scale Graphs. Proc. VLDB Endow. 15(8): 1572-1580 (2022) - [c8]Ta-Yang Wang, Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna:
Throughput optimization in heterogeneous MIMO networks: a GNN-based approach. GNNet@CoNEXT 2022: 42-47 - [c7]Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA. IPDPS 2022: 1108-1117 - [i11]Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA. CoRR abs/2203.05095 (2022) - [i10]Hongkuan Zhou, Da Zheng, Israt Nisa, Vasileios Ioannidis, Xiang Song, George Karypis:
TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs. CoRR abs/2203.14883 (2022) - [i9]Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware. CoRR abs/2203.15534 (2022) - [i8]Xiangtong Yao, Zhenshan Bing, Genghang Zhuang, Kejia Chen, Hongkuan Zhou, Kai Huang, Alois C. Knoll:
Learning from Symmetry: Meta-Reinforcement Learning with Symmetric Data and Language Instructions. CoRR abs/2209.10656 (2022) - 2021
- [j6]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Accurate, efficient and scalable training of Graph Neural Networks. J. Parallel Distributed Comput. 147: 166-183 (2021) - [j5]Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. Proc. VLDB Endow. 14(9): 1597-1605 (2021) - [j4]Yuxuan Zhou, Yining Dong, Hongkuan Zhou, Gang Tang:
Deep Dynamic Adaptive Transfer Network for Rolling Bearing Fault Diagnosis With Considering Cross-Machine Instance. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c6]Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna:
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. CIKM 2021: 3667-3671 - [c5]Jiangwei Xu, Kehao Wang, Xun Zhang, Pei Liu, Dejin Kong, Hongkuan Zhou:
Anti-jamming strategy based on game theory in single-channel UAV communication network. FMEC 2021: 1-7 - [i7]Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. CoRR abs/2105.04528 (2021) - [i6]Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna:
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. CoRR abs/2109.04550 (2021) - 2020
- [c4]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
GraphSAINT: Graph Sampling Based Inductive Learning Method. ICLR 2020 - [i5]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Accurate, Efficient and Scalable Training of Graph Neural Networks. CoRR abs/2010.03166 (2020)
2010 – 2019
- 2019
- [j3]Hongkuan Zhou, Tao Jiang:
Decision Tree Based Sea-Surface Weak Target Detection With False Alarm Rate Controllable. IEEE Signal Process. Lett. 26(6): 793-797 (2019) - [c3]Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware. HPEC 2019: 1-7 - [c2]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Accurate, Efficient and Scalable Graph Embedding. IPDPS 2019: 462-471 - [i4]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
GraphSAINT: Graph Sampling Based Inductive Learning Method. CoRR abs/1907.04931 (2019) - 2018
- [j2]Yuzhou Li, Yu Zhang, Hongkuan Zhou, Tao Jiang:
To Relay or Not to Relay: Open Distance and Optimal Deployment for Linear Underwater Acoustic Networks. IEEE Trans. Commun. 66(9): 3797-3808 (2018) - [c1]Hongkuan Zhou, Yuzhou Li, Tao Jiang:
Sea Clutter Distribution Modeling: A Kernel Density Estimation Approach. WCSP 2018: 1-6 - [i3]Yuzhou Li, Yu Zhang, Hongkuan Zhou, Tao Jiang:
To Relay or not to Relay: Open Distance and Optimal Deployment for Linear Underwater Acoustic Networks. CoRR abs/1801.03641 (2018) - [i2]Hongkuan Zhou, Yuzhou Li, Tao Jiang:
Sea Clutter Distribution Modeling: A Kernel Density Estimation Approach. CoRR abs/1809.00480 (2018) - [i1]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Accurate, Efficient and Scalable Graph Embedding. CoRR abs/1810.11899 (2018) - 2016
- [j1]Hongkuan Zhou, Tao Jiang, Chen Gong, Yang Zhou:
Optimal Estimation in Wireless Sensor Networks With Energy Harvesting. IEEE Trans. Veh. Technol. 65(11): 9386-9396 (2016)
Coauthor Index
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