Hongkuan Zhou - RankMe

62 papers A* 4A 6B 2Journal 42Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning. AAAI Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka, Stefan Schmid, Yuqicheng Zhu, Jingcheng Wu, Nadeem Nazer, Steffen Staab
2026	—	`conf`	What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge. EACL (Volume 1: Long Papers) Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, Hongkuan Zhou, Yuan He, Jiaoyan Chen, Steffen Staab, Evgeny Kharlamov
2025	B	`conf`	AP Selection in Uplink Cell-Free Massive MIMO: An Unsupervised Heterogeneous GNN Approach. WCNC Yuhong Liu, Gangda Deng, Hongkuan Zhou, Cauligi S. Raghavendra, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna
2025	A*	`conf`	Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees. EMNLP Yuqicheng Zhu, Jingcheng Wu, Yizhen Wang, Hongkuan Zhou, Jiaoyan Chen, Evgeny Kharlamov, Steffen Staab
2025	J	`jnl`	Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees. CoRR Yuqicheng Zhu, Jingcheng Wu, Yizhen Wang, Hongkuan Zhou, Jiaoyan Chen, Evgeny Kharlamov, Steffen Staab
2025	J	`jnl`	Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation. CoRR Nadeem Nazer, Hongkuan Zhou, Lavdim Halilaj, Ylli Sadikaj, Steffen Staab
2025	J	`jnl`	GR-Agent: Adaptive Graph Reasoning Agent under Incomplete Knowledge. CoRR Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, Hongkuan Zhou, Jiaoyan Chen, Steffen Staab, Yuan He, Evgeny Kharlamov
2025	J	`jnl`	MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning. CoRR Ylli Sadikaj, Hongkuan Zhou, Lavdim Halilaj, Stefan Schmid, Steffen Staab, Claudia Plant
2025	—	`conf`	Predicting the Road Ahead: A Knowledge Graph Based Foundation Model for Scene Understanding in Autonomous Driving. ESWC (1) Hongkuan Zhou, Stefan Schimid, Yicong Li, Lavdim Halilaj, Xiangtong Yao, Wei Cao
2025	J	`jnl`	Predicting the Road Ahead: A Knowledge Graph based Foundation Model for Scene Understanding in Autonomous Driving. CoRR Hongkuan Zhou, Stefan Schmid, Yicong Li, Lavdim Halilaj, Xiangtong Yao, Wei Cao
2025	J	`jnl`	Review of Lower-Limb (Quasi-)Passive Exoskeletons for Human Augmentation. IEEE Access Tiancheng Zhou, Tianyun Li, Hongkuan Zhou, Wei Zheng
2025	J	`jnl`	Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning. CoRR Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka, Stefan Schmid, Yuqicheng Zhu, Jingcheng Wu, Nadeem Nazer, Steffen Staab
2025	J	`jnl`	ViTeGNN: Towards Versatile Inference of Temporal Graph Neural Networks on FPGA. IEEE Trans. Parallel Distributed Syst. Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna
2025	J	`jnl`	What Breaks Knowledge Graph based RAG? Empirical Insights into Reasoning under Incomplete Knowledge. CoRR Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, Hongkuan Zhou, Yuan He, Jiaoyan Chen, Steffen Staab, Evgeny Kharlamov
2024	J	`jnl`	A time series and deep fusion framework for rotating machinery fault diagnosis. Eng. Appl. Artif. Intell. Jiasheng Zhang, Di Hu, Tao Yang, Hongkuan Zhou, Xianling Li
2024	J	`jnl`	Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Ind. Informatics Hao Wang, Ruonan Liu, Steven X. Ding, Qinghua Hu, Zengxiang Li, Hongkuan Zhou
2024	J	`jnl`	Language-Conditioned Imitation Learning With Base Skill Priors Under Unstructured Data. IEEE Robotics Autom. Lett. Hongkuan Zhou, Zhenshan Bing, Xiangtong Yao, Xiaojie Su, Chenguang Yang, Kai Huang, Alois Knoll
2024	J	`jnl`	Learning Personalized Scoping for Graph Neural Networks under Heterophily. CoRR Gangda Deng, Hongkuan Zhou, Rajgopal Kannan, Viktor K. Prasanna
2024	A	`conf`	TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. IPDPS Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning. CoRR Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours. CoRR Yuxin Yang, Hongkuan Zhou, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours. Proc. VLDB Endow. Yuxin Yang, Hongkuan Zhou, Rajgopal Kannan, Viktor K. Prasanna
2024	J	`jnl`	Visual Representation Learning Guided By Multi-modal Prior Knowledge. CoRR Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka, Stefan Schmid, Yuqicheng Zhu, Bo Xiong, Steffen Staab
2023	—	`conf`	An Efficient Distributed Graph Engine for Deep Learning on Graphs. SC Workshops Gangda Deng, Ömer Faruk Akgül, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor K. Prasanna
2023	A	`conf`	DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. SC Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna
2023	J	`jnl`	DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. CoRR Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna
2023	A*	`conf`	HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. INFOCOM Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna
2023	J	`jnl`	HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. CoRR Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna
2023	J	`jnl`	Language-Conditioned Imitation Learning with Base Skill Priors under Unstructured Data. CoRR Hongkuan Zhou, Zhenshan Bing, Xiangtong Yao, Xiaojie Su, Chenguang Yang, Kai Huang, Alois C. Knoll
2023	J	`jnl`	Language-conditioned Learning for Robotic Manipulation: A Survey. CoRR Hongkuan Zhou, Xiangtong Yao, Yuan Meng, Siming Sun, Zhenshan Bing, Kai Huang, Alois Knoll
2023	A	`conf`	Learning from Symmetry: Meta-Reinforcement Learning with Symmetrical Behaviors and Language Instructions. IROS Xiangtong Yao, Zhenshan Bing, Genghang Zhuang, Kejia Chen, Hongkuan Zhou, Kai Huang, Alois Knoll
2023	—	`conf`	Penalty-Based Imitation Learning With Cross Semantics Generation Sensor Fusion for Autonomous Driving. ITSC Hongkuan Zhou, Aifen Sui, Letian Shi, Yinxian Li
2023	J	`jnl`	Penalty-Based Imitation Learning With Cross Semantics Generation Sensor Fusion for Autonomous Driving. CoRR Hongkuan Zhou, Aifen Sui, Letian Shi
2023	J	`jnl`	Solving Robotic Manipulation With Sparse Reward Reinforcement Learning Via Graph-Based Diversity and Proximity. IEEE Trans. Ind. Electron. Zhenshan Bing, Hongkuan Zhou, Rui Li, Xiaojie Su, Fabrice O. Morin, Kai Huang, Alois C. Knoll
2023	B	`conf`	Spectral Efficiency Analysis of Downlink Transmission for Two-Way Cell-Free Massive MIMO System With Few-Bit ADCs. PIMRC Jiaxi Cui, Pei Liu, Kehao Wang, Hongkuan Zhou, Yue Zhang, Xinghua Sun, Stefano Buzzi
2023	J	`jnl`	What Matters to Enhance Traffic Rule Compliance of Imitation Learning for Automated Driving. CoRR Hongkuan Zhou, Aifen Sui, Wei Cao, Letian Shi
2022	J	`jnl`	Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware. CoRR Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2022	J	`jnl`	Learning from Symmetry: Meta-Reinforcement Learning with Symmetric Data and Language Instructions. CoRR Xiangtong Yao, Zhenshan Bing, Genghang Zhuang, Kejia Chen, Hongkuan Zhou, Kai Huang, Alois C. Knoll
2022	A	`conf`	Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA. IPDPS Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2022	J	`jnl`	Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA. CoRR Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2022	J	`jnl`	TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs. CoRR Hongkuan Zhou, Da Zheng, Israt Nisa, Vasileios Ioannidis, Xiang Song, George Karypis
2022	J	`jnl`	TGL: A General Framework for Temporal GNN Training onBillion-Scale Graphs. Proc. VLDB Endow. Hongkuan Zhou, Da Zheng, Israt Nisa, Vassilis N. Ioannidis, Xiang Song, George Karypis
2022	—	`conf`	Throughput optimization in heterogeneous MIMO networks: a GNN-based approach. GNNet@CoNEXT Ta-Yang Wang, Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna
2021	J	`jnl`	Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. CoRR Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna
2021	J	`jnl`	Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. Proc. VLDB Endow. Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna
2021	J	`jnl`	Accurate, efficient and scalable training of Graph Neural Networks. J. Parallel Distributed Comput. Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2021	—	`conf`	Anti-jamming strategy based on game theory in single-channel UAV communication network. FMEC Jiangwei Xu, Kehao Wang, Xun Zhang, Pei Liu, Dejin Kong, Hongkuan Zhou
2021	J	`jnl`	Deep Dynamic Adaptive Transfer Network for Rolling Bearing Fault Diagnosis With Considering Cross-Machine Instance. IEEE Trans. Instrum. Meas. Yuxuan Zhou, Yining Dong, Hongkuan Zhou, Gang Tang
2021	A	`conf`	SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. CIKM Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna
2021	J	`jnl`	SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. CoRR Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna
2020	J	`jnl`	Accurate, Efficient and Scalable Training of Graph Neural Networks. CoRR Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2020	A*	`conf`	GraphSAINT: Graph Sampling Based Inductive Learning Method. ICLR Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2019	A	`conf`	Accurate, Efficient and Scalable Graph Embedding. IPDPS Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2019	J	`jnl`	Decision Tree Based Sea-Surface Weak Target Detection With False Alarm Rate Controllable. IEEE Signal Process. Lett. Hongkuan Zhou, Tao Jiang
2019	—	`conf`	Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware. HPEC Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2019	J	`jnl`	GraphSAINT: Graph Sampling Based Inductive Learning Method. CoRR Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2018	J	`jnl`	Accurate, Efficient and Scalable Graph Embedding. CoRR Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2018	—	`conf`	Sea Clutter Distribution Modeling: A Kernel Density Estimation Approach. WCSP Hongkuan Zhou, Yuzhou Li, Tao Jiang
2018	J	`jnl`	Sea Clutter Distribution Modeling: A Kernel Density Estimation Approach. CoRR Hongkuan Zhou, Yuzhou Li, Tao Jiang
2018	J	`jnl`	To Relay or Not to Relay: Open Distance and Optimal Deployment for Linear Underwater Acoustic Networks. IEEE Trans. Commun. Yuzhou Li, Yu Zhang, Hongkuan Zhou, Tao Jiang
2018	J	`jnl`	To Relay or not to Relay: Open Distance and Optimal Deployment for Linear Underwater Acoustic Networks. CoRR Yuzhou Li, Yu Zhang, Hongkuan Zhou, Tao Jiang
2016	J	`jnl`	Optimal Estimation in Wireless Sensor Networks With Energy Harvesting. IEEE Trans. Veh. Technol. Hongkuan Zhou, Tao Jiang, Chen Gong, Yang Zhou