Jinghui Zhang

According to our database, Jinghui Zhang authored at least 70 papers between 2007 and 2026.

Collaborative distances:

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

2026

Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV.

Wenbo Huang, Jinghui Zhang, Zhenghao Chen, Guang Li, Lei Zhang, Yang Cao, Fang Dong, Takahiro Ogawa, Miki Haseyama

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

An Event-Centric Framework for Predicting Crime Hotspots With Flexible Time Intervals.

Jiahui Jin, Yi Hong, Guandong Xu, Jinghui Zhang, Jun Tang, Hancheng Wang

IEEE Trans. Knowl. Data Eng., December, 2025

Multi-Dimensional Training Optimization for Efficient Federated Synergy Learning.

Shucun Fu, Fang Dong, Runze Chen, Dian Shen, Jinghui Zhang, Qiang He

IEEE Trans. Mob. Comput., July, 2025

Spatiotemporal Generalization Graph Neural Network-Based Prediction Models by Considering Morphological Diversity in Traffic Networks.

Limei Liu, Peibo Duan, Zhuo Chen, Jinghui Zhang, Siyuan Feng, Wenwei Yue, Yibo Wang, Jia Rong

IEEE Trans. Intell. Transp. Syst., July, 2025

Resource-Efficient DNN Inference With Early Exiting in Serverless Edge Computing.

Xiaolin Guo, Fang Dong, Dian Shen, Zhaowu Huang, Jinghui Zhang

IEEE Trans. Mob. Comput., May, 2025

Boundary Prompting: Elastic Urban Region Representation via Graph-based Spatial Tokenization.

Haojia Zhu, Jiahui Jin, Dong Kan, Rouxi Shen, Ruize Wang, Xiangguo Sun, Jinghui Zhang

CoRR, March, 2025

RLFreeze: Accelerating Distributed Freezing Training with Reinforcement Learning.

Zaigang Gong, Siyu Chen, Qiangsheng Dai, Ying Feng, Geng Niu, Jinghui Zhang

Data Intell., 2025

Forecasting blink behavior during VR experiences via a multi-scale multi-modal fusion approach.

Ding Ding, Wenjie Zhang, Jinghui Zhang, Runqun Xiong, Jiahui Jin, Fang Dong

Complex Intell. Syst., 2025

SCoAMPS: Semi-Supervised Graph Contrastive Learning Based on Associative Memory Network and Pseudo-Label Similarity.

Zaigang Gong, Siyu Chen, Qiangsheng Dai, Ying Feng, Jiawei Wang, Jinghui Zhang

Big Data Min. Anal., 2025

Urban Region Pre-training and Prompting: A Graph-based Approach.

Jiahui Jin, Yifan Song, Dong Kan, Haojia Zhu, Xiangguo Sun, Zhicheng Li, Xigang Sun, Jinghui Zhang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Bilateral Virtual Companions: The Impact of Virtual Humans' Movement and Voice Realism on User Perception and Experience in Multi-user VR Cinemas.

Jingfeng Hu, Ding Ding, Xiangyu Xu, Jinghui Zhang, Jiahui Jin, Fang Dong

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence.

Wenbo Huang, Jinghui Zhang, Guang Li, Lei Zhang, Shuoyuan Wang, Fang Dong, Jiahui Jin, Takahiro Ogawa, Miki Haseyama

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Imbalanced node classification with Graph Neural Networks: A unified approach leveraging homophily and label information.

Dingyang Lv, Zhengjia Xu, Jinghui Zhang, Yuchen Wang, Fang Dong

Appl. Soft Comput., December, 2024

Addressing Heterogeneity in Federated Learning with Client Selection via Submodular Optimization.

Jinghui Zhang, Jiawei Wang, Yaning Li, Fa Xin, Fang Dong, Junzhou Luo, Zhihua Wu

ACM Trans. Sens. Networks, March, 2024

Learning context-aware region similarity with effective spatial normalization over Point-of-Interest data.

Jiahui Jin, Yifan Song, Dong Kan, Binjie Zhang, Yan Lyu, Jinghui Zhang, Hongru Lu

Inf. Process. Manag., March, 2024

Inferring Point-of-Interest Relationship for Strategic Group Discovery Guided by User Demands.

Jiahui Jin, Haoxiang Zhang, Wenchao Bai, Xin Lin, Jinghui Zhang

IEEE Trans. Consumer Electron., February, 2024

GNaN: A natural neighbor search algorithm based on universal gravitation.

Juntao Yang, Lijun Yang, Jinghui Zhang, Qiwen Liang, Wentong Wang, Dongming Tang, Tao Liu

Pattern Recognit., February, 2024

Joint Optimization of Device Selection and Resource Allocation for Multiple Federations in Federated Edge Learning.

Shucun Fu, Fang Dong, Dian Shen, Jinghui Zhang, Zhaowu Huang, Qiang He

IEEE Trans. Serv. Comput., 2024

Micro-Burst Aware ECN in Multi-Queue Data Centers: Algorithm and Implementation.

Jinghui Zhang, Dian Shen, Fang Dong, Kexi Kang, Jiahui Jin, Junzhou Luo, Junxue Zhang

IEEE Trans. Netw. Sci. Eng., 2024

Natural local density-based adaptive oversampling algorithm for imbalanced classification.

Wentong Wang, Lijun Yang, Jinghui Zhang, Juntao Yang, Dongming Tang, Tao Liu

Knowl. Based Syst., 2024

Federated variational generative learning for heterogeneous data in distributed environments.

Wei Xie, Runqun Xiong, Jinghui Zhang, Jiahui Jin, Junzhou Luo

J. Parallel Distributed Comput., 2024

NMNN: Newtonian Mechanics-based Natural Neighbor algorithm.

Wentong Wang, Lijun Yang, Juntao Yang, Jinghui Zhang, Dongming Tang, Tao Liu

Inf. Sci., 2024

Non-parameter clustering algorithm based on chain propagation and natural neighbor.

Tianshuo Li, Lijun Yang, Juntao Yang, Rui Pu, Jinghui Zhang, Dongming Tang, Tao Liu

Inf. Sci., 2024

Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networks.

Zhengjia Xu, Dingyang Lyu, Jinghui Zhang

CoRR, 2024

FLRF: Federated recommendation optimization for long-tail data distribution.

Zaigang Gong, Siyu Chen, Qiangsheng Dai, Ying Feng, Jinghui Zhang

Array, 2024

SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition.

Wenbo Huang, Jinghui Zhang, Xuwei Qian, Zhen Wu, Meng Wang, Lei Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A Deep Prediction Framework for Multi-Source Information via Heterogeneous GNN.

Zhen Wu, Jingya Zhou, Jinghui Zhang, Ling Liu, Chizhou Huang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Future Blink Prediction in Virtual Reality Using Time-Series Eye Movement Data.

Wenjie Zhang, Ding Ding, Jinghui Zhang, Runqun Xiong, Jiahui Jin, Fang Dong, Xiangyu Xu, Kai Dong

Proceedings of the Twelfth International Conference on Advanced Cloud and Big Data, 2024

DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph.

Jinghui Zhang, Zhengjia Xu, Dingyang Lv, Zhan Shi, Dian Shen, Jiahui Jin, Fang Dong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-exit DNN inference acceleration for intelligent terminal with heterogeneous processors.

Jinghui Zhang, Weilong Xin, Dingyang Lv, Jiawei Wang, Guangxing Cai, Fang Dong

Sustain. Comput. Informatics Syst., December, 2023

Simulation based QoS aware dynamic caching scheme for heterogeneous content requests in vehicular edge computing.

Xiaodan Gu, Zhihan Zhang, Jinghui Zhang, Liqun Zhu, Fang Dong

J. King Saud Univ. Comput. Inf. Sci., December, 2023

Simulation-based joint user assignment and edge resource allocation optimization for hybrid tasks in vehicular edge computing.

Jinghui Zhang, Yizhou Tang, Jiawei Wang, Dingyang Lv, Liqun Zhu, Fang Dong

Simul. Model. Pract. Theory, November, 2023

PipePar: Enabling fast DNN pipeline parallel training in heterogeneous GPU clusters.

Jinghui Zhang, Geng Niu, Qiangsheng Dai, Haorui Li, Zhihua Wu, Fang Dong, Zhiang Wu

Neurocomputing, October, 2023

Multi-Exit DNN Inference Acceleration Based on Multi-Dimensional Optimization for Edge Intelligence.

Fang Dong, Huitian Wang, Dian Shen, Zhaowu Huang, Qiang He, Jinghui Zhang, Liangsheng Wen, Tingting Zhang

IEEE Trans. Mob. Comput., September, 2023

Noise-aware Local Model Training Mechanism for Federated Learning.

Jinghui Zhang, Dingyang Lv, Qiangsheng Dai, Fa Xin, Fang Dong

ACM Trans. Intell. Syst. Technol., August, 2023

Mobile applications identification using autoencoder based electromagnetic side channel analysis.

Jinghui Zhang, Boxi Liang, Hancheng Zhang, Wei Zhang, Zhen Ling, Ming Yang

J. Inf. Secur. Appl., June, 2023

Wi-Fi device identification based on multi-domain physical layer fingerprint.

Jinghui Zhang, Zhengjia Xu, Junhe Li, Qiangsheng Dai, Zhen Ling, Ming Yang

Comput. Commun., April, 2023

PADP-FedMeta: A personalized and adaptive differentially private federated meta learning mechanism for AIoT.

Fang Dong, Xinghua Ge, Qinya Li, Jinghui Zhang, Dian Shen, Siqi Liu, Xiao Liu, Gang Li, Fan Wu, Junzhou Luo

J. Syst. Archit., 2023

Sensor-based implicit authentication through learning user physiological and behavioral characteristics.

Jinghui Zhang, Zichao Li, Hancheng Zhang, Wei Zhang, Zhen Ling, Ming Yang

Comput. Commun., 2023

Label Information Enhanced Fraud Detection against Low Homophily in Graphs.

Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo

Proceedings of the ACM Web Conference 2023, 2023

FreezePipe: An Efficient Dynamic Pipeline Parallel Approach Based on Freezing Mechanism for Distributed DNN Training.

Caishan Weng, Zhiyang Shu, Zhengjia Xu, Jinghui Zhang, Junzhou Luo, Fang Dong, Peng Wang, Zhengang Wang

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

HPopt: A Hybrid Parallel Optimization Scheduling Approach for Distributed DNN Training.

Caishan Weng, Xinyang Li, Jinghui Zhang, Hang Yu

Proceedings of the Eleventh International Conference on Advanced Cloud and Big Data, 2023

2022

FedAda: Fast-convergent adaptive federated learning in heterogeneous mobile edge computing environment.

Jinghui Zhang, Xinyu Cheng, Cheng Wang, Yuchen Wang, Zhan Shi, Jiahui Jin, Aibo Song, Wei Zhao, Liangsheng Wen, Tingting Zhang

World Wide Web, 2022

Non-parameter clustering algorithm based on saturated neighborhood graph.

Jinghui Zhang, Lijun Yang, Yong Zhang, Dongming Tang, Tao Liu

Appl. Soft Comput., 2022

Federated Learning Client Selection Mechanism Under System and Data Heterogeneity.

Fan Xin, Jinghui Zhang, Junzhou Luo, Fang Dong

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

ColorByte: A real time MOT method using fast appearance feature based on ByteTrack.

Lin Shen, Mengyang Liu, Caishan Weng, Jinghui Zhang, Fang Dong, Fa Zheng

Proceedings of the Tenth International Conference on Advanced Cloud and Big Data, 2022

2021

Towards Tunable RDMA Parameter Selection at Runtime for Datacenter Applications.

Kai Wang, Fang Dong, Dian Shen, Chengtian Zhang, Jinghui Zhang, Junzhou Luo

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

Region-aware POI Recommendation with Semantic Spatial Graph.

Jiakai Tang, Jiahui Jin, Zijia Miao, Binjie Zhang, Qi An, Jinghui Zhang

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

PipePar: A Pipelined Hybrid Parallel Approach for Accelerating Distributed DNN Training.

Jiange Li, Yuchen Wang, Jinghui Zhang, Jiahui Jin, Fang Dong, Lei Qian

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

DDoS Attack Detection Based on CNN and Federated Learning.

Dingyang Lv, Xinyu Cheng, Jinghui Zhang, Wei Zhang, Wei Zhao, He Xu

Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021

2020

Optimizing execution for pipelined-based distributed deep learning in a heterogeneously networked GPU cluster.

Jinghui Zhang, Jun Zhan, Jiange Li, Jiahui Jin, Lei Qian

Concurr. Comput. Pract. Exp., 2020

2019

A data-locality-aware task scheduler for distributed social graph queries.

Jiahui Jin, Junzhou Luo, Mingyang Du, Yongcheng Dang, Feng Li, Jinghui Zhang, Aibo Song

Future Gener. Comput. Syst., 2019

Graph partition-based data and task co-scheduling of scientific workflow in geo-distributed datacenters.

Jinghui Zhang, Jian Chen, Jun Zhan, Jiahui Jin, Aibo Song

Concurr. Comput. Pract. Exp., 2019

QAECN: Dynamically Tuning ECN Threshold with Micro-burst in Multi-queue Data Centers.

Kexi Kang, Jinghui Zhang, Jiahui Jin, Dian Shen, Runqun Xiong, Junzhou Luo

Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019

MBECN: Enabling ECN with Micro-burst Traffic in Multi-queue Data Center.

Kexi Kang, Jinghui Zhang, Jiahui Jin, Dian Shen, Junzhou Luo, Wenxin Li, Zhiang Wu

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2017

Efficient Data and Task Co-Scheduling for Scientific Workflow in Geo-Distributed Datacenters.

Jian Chen, Jinghui Zhang, Aibo Song

Proceedings of the Fifth International Conference on Advanced Cloud and Big Data, 2017

2016

Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints.

Jiyuan Shi, Junzhou Luo, Fang Dong, Jinghui Zhang, Junxue Zhang

Clust. Comput., 2016

Resource provisioning optimization for service hosting on cloud platform.

Jiyuan Shi, Fang Dong, Jinghui Zhang, Jiahui Jin, Junzhou Luo

Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016

2015

Scientific workflow scheduling in non-dedicated heterogeneous multicluster with advance reservations.

Jinghui Zhang, Junzhou Luo, Fang Dong

Integr. Comput. Aided Eng., 2015

Towards optimized scheduling for data-intensive scientific workflow in multiple datacenter environment.

Jinghui Zhang, Mingjun Wang, Junzhou Luo, Fang Dong, Junxue Zhang

Concurr. Comput. Pract. Exp., 2015

Two-Phase Online Virtual Machine Placement in Heterogeneous Cloud Data Center.

Jiyuan Shi, Fang Dong, Jinghui Zhang, Junzhou Luo, Ding Ding

Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014

A budget and deadline aware scientific workflow resource provisioning and scheduling mechanism for cloud.

Jiyuan Shi, Junzhou Luo, Fang Dong, Jinghui Zhang

Proceedings of the IEEE 18th International Conference on Computer Supported Cooperative Work in Design, 2014

Data Placement and Task Scheduling Optimization for Data Intensive Scientific Workflow in Multiple Data Centers Environment.

Mingjun Wang, Jinghui Zhang, Fang Dong, Junzhou Luo

Proceedings of the Second International Conference on Advanced Cloud and Big Data, 2014

2013

Scheduling of scientific workflow in non-dedicated heterogeneous multicluster platform.

Jinghui Zhang, Junzhou Luo, Fang Dong

J. Syst. Softw., 2013

Scheduling Parallel Task Graphs on non-dedicated heterogeneous multicluster platform with Moldable Task Duplication.

Jinghui Zhang, Junzhou Luo, Fang Dong

Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2013

2011

Scheduling mixed-parallel application onto multicluster grid with background workloads.

Jinghui Zhang, Junzhou Luo

Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

2009

A comparison of utility-oriented algorithms for scheduling parallel tasks in multi-cluster grid.

Jinghui Zhang, Junzhou Luo

Clust. Comput., 2009

A Novel Approximate Algorithm for Admission Control.

Jinghui Zhang, Junzhou Luo, Zhiang Wu

Proceedings of the Frontiers in Algorithmics, Third International Workshop, 2009

2008

Agent based automated negotiation for grid.

Jinghui Zhang, Junzhou Luo

Proceedings of the 12th International Conference on CSCW in Design, 2008

2007

An Adaptive QoS Group Guided Grid Scheduling Algorithm with Task Replicas.

Jinghui Zhang, Junzhou Luo

Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007