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ORCIDJinghui Zhang 0001
Person information
- affiliation: Southeast University, School of Computer Science and Engineering, Nanjing, China
Other persons with the same name
- Jinghui Zhang — disambiguation page
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2020 – today
- 2025
[j38]Zaigang Gong, Siyu Chen, Qiangsheng Dai, Ying Feng, Jiawei Wang, Jinghui Zhang:
SCoAMPS: Semi-Supervised Graph Contrastive Learning Based on Associative Memory Network and Pseudo-Label Similarity. Big Data Min. Anal. 8(2): 273-291 (2025)- [j37]Zaigang Gong, Siyu Chen, Qiangsheng Dai, Ying Feng, Geng Niu, Jinghui Zhang:
RLFreeze: Accelerating Distributed Freezing Training with Reinforcement Learning. Data Intell. 7(2): 416-439 (2025) - [j36]Limei Liu
, Peibo Duan, Zhuo Chen, Jinghui Zhang, Siyuan Feng, Wenwei Yue, Yibo Wang, Jia Rong:
Spatiotemporal Generalization Graph Neural Network-Based Prediction Models by Considering Morphological Diversity in Traffic Networks. IEEE Trans. Intell. Transp. Syst. 26(7): 9993-10007 (2025) - [j35]Jiahui Jin, Yi Hong, Guandong Xu, Jinghui Zhang, Jun Tang, Hancheng Wang:
An Event-Centric Framework for Predicting Crime Hotspots With Flexible Time Intervals. IEEE Trans. Knowl. Data Eng. 37(12): 6902-6915 (2025) - [j34]Xiaolin Guo, Fang Dong, Dian Shen, Zhaowu Huang, Jinghui Zhang:
Resource-Efficient DNN Inference With Early Exiting in Serverless Edge Computing. IEEE Trans. Mob. Comput. 24(5): 3650-3666 (2025) - [j33]Shucun Fu, Fang Dong, Runze Chen, Dian Shen, Jinghui Zhang, Qiang He:
Multi-Dimensional Training Optimization for Efficient Federated Synergy Learning. IEEE Trans. Mob. Comput. 24(7): 6243-6258 (2025) - [c28]Wenbo Huang, Jinghui Zhang, Guang Li, Lei Zhang, Shuoyuan Wang, Fang Dong, Jiahui Jin, Takahiro Ogawa, Miki Haseyama:
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence. AAAI 2025: 3751-3759 - [c27]Jingfeng Hu, Ding Ding, Xiangyu Xu, Jinghui Zhang, Jiahui Jin, Fang Dong:
Bilateral Virtual Companions: The Impact of Virtual Humans' Movement and Voice Realism on User Perception and Experience in Multi-user VR Cinemas. CSCWD 2025: 2635-2641 - [c26]Jiahui Jin, Yifan Song, Dong Kan, Haojia Zhu, Xiangguo Sun, Zhicheng Li, Xigang Sun, Jinghui Zhang:
Urban Region Pre-training and Prompting: A Graph-based Approach. KDD (2) 2025: 1071-1082 - [e5]Weiming Shen, Marie-Hélène Abel, Nada Matta, Jean-Paul A. Barthès, Junzhou Luo, Jinghui Zhang, Haibin Zhu, Kunkun Peng:
28th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2025, Compiegne, France, May 5-7, 2025. IEEE 2025, ISBN 979-8-3315-1305-4 [contents] - [i8]Haojia Zhu, Jiahui Jin, Dong Kan, Rouxi Shen, Ruize Wang, Xiangguo Sun, Jinghui Zhang:
Boundary Prompting: Elastic Urban Region Representation via Graph-based Spatial Tokenization. CoRR abs/2503.07991 (2025) - [i7]Wenbo Huang, Jinghui Zhang, Zhenghao Chen, Guang Li, Lei Zhang, Yang Cao, Fang Dong, Takahiro Ogawa, Miki Haseyama:
Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV. CoRR abs/2511.06741 (2025) - 2024
- [j32]Zaigang Gong, Siyu Chen, Qiangsheng Dai, Ying Feng, Jinghui Zhang:
FLRF: Federated recommendation optimization for long-tail data distribution. Array 24: 100371 (2024) - [j31]Dingyang Lv, Zhengjia Xu, Jinghui Zhang, Yuchen Wang, Fang Dong:
Imbalanced node classification with Graph Neural Networks: A unified approach leveraging homophily and label information. Appl. Soft Comput. 149(Part A): 110985 (2024) - [j30]Jiahui Jin, Yifan Song, Dong Kan, Binjie Zhang, Yan Lyu, Jinghui Zhang, Hongru Lu:
Learning context-aware region similarity with effective spatial normalization over Point-of-Interest data. Inf. Process. Manag. 61(2): 103673 (2024) - [j29]Tianshuo Li, Lijun Yang, Juntao Yang, Rui Pu, Jinghui Zhang, Dongming Tang, Tao Liu:
Non-parameter clustering algorithm based on chain propagation and natural neighbor. Inf. Sci. 672: 120663 (2024) - [j28]Wentong Wang, Lijun Yang, Juntao Yang, Jinghui Zhang, Dongming Tang, Tao Liu:
NMNN: Newtonian Mechanics-based Natural Neighbor algorithm. Inf. Sci. 681: 121200 (2024) - [j27]Wei Xie, Runqun Xiong, Jinghui Zhang, Jiahui Jin, Junzhou Luo:
Federated variational generative learning for heterogeneous data in distributed environments. J. Parallel Distributed Comput. 191: 104916 (2024) - [j26]Wentong Wang, Lijun Yang, Jinghui Zhang, Juntao Yang, Dongming Tang, Tao Liu:
Natural local density-based adaptive oversampling algorithm for imbalanced classification. Knowl. Based Syst. 295: 111845 (2024) - [j25]Juntao Yang, Lijun Yang, Jinghui Zhang, Qiwen Liang, Wentong Wang, Dongming Tang, Tao Liu:
GNaN: A natural neighbor search algorithm based on universal gravitation. Pattern Recognit. 146: 110063 (2024) - [j24]Jiahui Jin, Haoxiang Zhang, Wenchao Bai, Xin Lin, Jinghui Zhang:
Inferring Point-of-Interest Relationship for Strategic Group Discovery Guided by User Demands. IEEE Trans. Consumer Electron. 70(1): 4132-4141 (2024) - [j23]Jinghui Zhang, Dian Shen, Fang Dong, Kexi Kang, Jiahui Jin, Junzhou Luo, Junxue Zhang:
Micro-Burst Aware ECN in Multi-Queue Data Centers: Algorithm and Implementation. IEEE Trans. Netw. Sci. Eng. 11(3): 2384-2398 (2024) - [j22]Jinghui Zhang, Jiawei Wang, Yaning Li, Fa Xin, Fang Dong, Junzhou Luo, Zhihua Wu:
Addressing Heterogeneity in Federated Learning with Client Selection via Submodular Optimization. ACM Trans. Sens. Networks 20(2): 48:1-48:32 (2024) - [j21]Shucun Fu, Fang Dong, Dian Shen, Jinghui Zhang, Zhaowu Huang, Qiang He:
Joint Optimization of Device Selection and Resource Allocation for Multiple Federations in Federated Edge Learning. IEEE Trans. Serv. Comput. 17(1): 251-262 (2024) - [c25]Jinghui Zhang, Zhengjia Xu, Dingyang Lv, Zhan Shi, Dian Shen, Jiahui Jin, Fang Dong:
DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph. AAAI 2024: 9323-9331 - [c24]Wenjie Zhang, Ding Ding, Jinghui Zhang, Runqun Xiong, Jiahui Jin, Fang Dong, Xiangyu Xu, Kai Dong:
Future Blink Prediction in Virtual Reality Using Time-Series Eye Movement Data. CBD 2024: 1-6 - [c23]Zhen Wu, Jingya Zhou, Jinghui Zhang, Ling Liu, Chizhou Huang:
A Deep Prediction Framework for Multi-Source Information via Heterogeneous GNN. KDD 2024: 3460-3471 - [c22]Wenbo Huang, Jinghui Zhang, Xuwei Qian, Zhen Wu, Meng Wang, Lei Zhang:
SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition. ACM Multimedia 2024: 4572-4580 - [e4]Weiming Shen, Jean-Paul A. Barthès, Junzhou Luo, Tie Qiu, Xiaobo Zhou, Jinghui Zhang, Haibin Zhu, Kunkun Peng, Tianyi Xu, Ning Chen:
27th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2024, Tianjin, China, May 8-10, 2024. IEEE 2024, ISBN 979-8-3503-4918-4 [contents] - [i6]Wenbo Huang, Jinghui Zhang, Xuwei Qian, Zhen Wu, Meng Wang, Lei Zhang:
SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition. CoRR abs/2407.16344 (2024) - [i5]Jiahui Jin, Yifan Song, Dong Kan, Haojia Zhu, Xiangguo Sun, Zhicheng Li, Xigang Sun, Jinghui Zhang:
Urban Region Pre-training and Prompting: A Graph-based Approach. CoRR abs/2408.05920 (2024) - [i4]Zhengjia Xu, Dingyang Lyu, Jinghui Zhang:
Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networks. CoRR abs/2408.11500 (2024) - [i3]Jiahui Jin, Yi Hong, Guandong Xu, Jinghui Zhang, Jun Tang, Hancheng Wang:
An Event-centric Framework for Predicting Crime Hotspots with Flexible Time Intervals. CoRR abs/2411.01134 (2024) - [i2]Wenbo Huang, Jinghui Zhang, Guang Li, Lei Zhang, Shuoyuan Wang, Fang Dong, Jiahui Jin, Takahiro Ogawa, Miki Haseyama:
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence. CoRR abs/2412.07481 (2024) - 2023
- [j20]Jinghui Zhang, Zhengjia Xu, Junhe Li, Qiangsheng Dai, Zhen Ling, Ming Yang:
Wi-Fi device identification based on multi-domain physical layer fingerprint. Comput. Commun. 204: 118-129 (2023) - [j19]Jinghui Zhang, Zichao Li, Hancheng Zhang, Wei Zhang, Zhen Ling, Ming Yang:
Sensor-based implicit authentication through learning user physiological and behavioral characteristics. Comput. Commun. 208: 244-255 (2023) - [j18]Jinghui Zhang, Geng Niu, Qiangsheng Dai, Haorui Li, Zhihua Wu, Fang Dong, Zhiang Wu:
PipePar: Enabling fast DNN pipeline parallel training in heterogeneous GPU clusters. Neurocomputing 555: 126661 (2023) - [j17]Jinghui Zhang, Boxi Liang, Hancheng Zhang, Wei Zhang, Zhen Ling, Ming Yang:
Mobile applications identification using autoencoder based electromagnetic side channel analysis. J. Inf. Secur. Appl. 75: 103481 (2023) - [j16]Xiaodan Gu, Zhihan Zhang, Jinghui Zhang, Liqun Zhu, Fang Dong:
Simulation based QoS aware dynamic caching scheme for heterogeneous content requests in vehicular edge computing. J. King Saud Univ. Comput. Inf. Sci. 35(10): 101813 (2023) - [j15]Fang Dong, Xinghua Ge, Qinya Li, Jinghui Zhang, Dian Shen, Siqi Liu, Xiao Liu, Gang Li, Fan Wu, Junzhou Luo:
PADP-FedMeta: A personalized and adaptive differentially private federated meta learning mechanism for AIoT. J. Syst. Archit. 134: 102754 (2023) - [j14]Jinghui Zhang, Yizhou Tang, Jiawei Wang, Dingyang Lv, Liqun Zhu, Fang Dong:
Simulation-based joint user assignment and edge resource allocation optimization for hybrid tasks in vehicular edge computing. Simul. Model. Pract. Theory 128: 102810 (2023) - [j13]Jinghui Zhang, Weilong Xin, Dingyang Lv, Jiawei Wang, Guangxing Cai, Fang Dong:
Multi-exit DNN inference acceleration for intelligent terminal with heterogeneous processors. Sustain. Comput. Informatics Syst. 40: 100906 (2023) - [j12]Jinghui Zhang, Dingyang Lv, Qiangsheng Dai, Fa Xin, Fang Dong:
Noise-aware Local Model Training Mechanism for Federated Learning. ACM Trans. Intell. Syst. Technol. 14(4): 65:1-65:22 (2023) - [j11]Fang Dong, Huitian Wang, Dian Shen, Zhaowu Huang, Qiang He, Jinghui Zhang, Liangsheng Wen, Tingting Zhang:
Multi-Exit DNN Inference Acceleration Based on Multi-Dimensional Optimization for Edge Intelligence. IEEE Trans. Mob. Comput. 22(9): 5389-5405 (2023) - [c21]Caishan Weng, Xinyang Li, Jinghui Zhang, Hang Yu:
HPopt: A Hybrid Parallel Optimization Scheduling Approach for Distributed DNN Training. CBD 2023: 229-234 - [c20]Caishan Weng, Zhiyang Shu, Zhengjia Xu, Jinghui Zhang, Junzhou Luo, Fang Dong, Peng Wang, Zhengang Wang:
FreezePipe: An Efficient Dynamic Pipeline Parallel Approach Based on Freezing Mechanism for Distributed DNN Training. CSCWD 2023: 303-308 - [c19]Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo:
Label Information Enhanced Fraud Detection against Low Homophily in Graphs. WWW 2023: 406-416 - [e3]Weiming Shen, Jean-Paul A. Barthès, Junzhou Luo, Adriana S. Vivacqua, Daniel Schneider, Cheng Xie, Jinghui Zhang, Haibin Zhu, Kunkun Peng, Cláudia Lage Rebello da Motta:
26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023, Rio de Janeiro, Brazil, May 24-26, 2023. IEEE 2023, ISBN 979-8-3503-3168-4 [contents] - [i1]Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo:
Label Information Enhanced Fraud Detection against Low Homophily in Graphs. CoRR abs/2302.10407 (2023) - 2022
- [j10]Jinghui Zhang, Lijun Yang, Yong Zhang, Dongming Tang, Tao Liu:
Non-parameter clustering algorithm based on saturated neighborhood graph. Appl. Soft Comput. 130: 109647 (2022) - [j9]Jinghui Zhang, Xinyu Cheng, Cheng Wang, Yuchen Wang, Zhan Shi, Jiahui Jin, Aibo Song, Wei Zhao, Liangsheng Wen, Tingting Zhang:
FedAda: Fast-convergent adaptive federated learning in heterogeneous mobile edge computing environment. World Wide Web 25(5): 1971-1998 (2022) - [c18]Lin Shen, Mengyang Liu, Caishan Weng, Jinghui Zhang, Fang Dong, Fa Zheng:
ColorByte: A real time MOT method using fast appearance feature based on ByteTrack. CBD 2022: 1-6 - [c17]Fan Xin, Jinghui Zhang, Junzhou Luo, Fang Dong:
Federated Learning Client Selection Mechanism Under System and Data Heterogeneity. CSCWD 2022: 1239-1244 - 2021
- [c16]Dingyang Lv, Xinyu Cheng, Jinghui Zhang, Wei Zhang, Wei Zhao, He Xu:
DDoS Attack Detection Based on CNN and Federated Learning. CBD 2021: 236-241 - [c15]Kai Wang, Fang Dong, Dian Shen, Chengtian Zhang, Jinghui Zhang, Junzhou Luo:
Towards Tunable RDMA Parameter Selection at Runtime for Datacenter Applications. CSCWD 2021: 49-54 - [c14]Jiakai Tang, Jiahui Jin, Zijia Miao, Binjie Zhang, Qi An, Jinghui Zhang:
Region-aware POI Recommendation with Semantic Spatial Graph. CSCWD 2021: 214-219 - [c13]Jiange Li, Yuchen Wang, Jinghui Zhang, Jiahui Jin, Fang Dong, Lei Qian:
PipePar: A Pipelined Hybrid Parallel Approach for Accelerating Distributed DNN Training. CSCWD 2021: 470-475 - [e2]Weiming Shen, Jean-Paul A. Barthès, Junzhou Luo, Yanjun Shi, Jinghui Zhang:
24th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021, Dalian, China, May 5-7, 2021. IEEE 2021, ISBN 978-1-7281-6597-4 [contents] - 2020
- [j8]Jinghui Zhang, Jun Zhan, Jiange Li, Jiahui Jin, Lei Qian:
Optimizing execution for pipelined-based distributed deep learning in a heterogeneously networked GPU cluster. Concurr. Comput. Pract. Exp. 32(23) (2020)
2010 – 2019
- 2019
- [j7]Jinghui Zhang, Jian Chen, Jun Zhan, Jiahui Jin, Aibo Song:
Graph partition-based data and task co-scheduling of scientific workflow in geo-distributed datacenters. Concurr. Comput. Pract. Exp. 31(24) (2019) - [j6]Jiahui Jin, Junzhou Luo, Mingyang Du, Yongcheng Dang, Feng Li, Jinghui Zhang, Aibo Song:
A data-locality-aware task scheduler for distributed social graph queries. Future Gener. Comput. Syst. 93: 1010-1022 (2019) - [c12]Kexi Kang, Jinghui Zhang, Jiahui Jin, Dian Shen, Junzhou Luo, Wenxin Li, Zhiang Wu:
MBECN: Enabling ECN with Micro-burst Traffic in Multi-queue Data Center. CLUSTER 2019: 1-12 - [c11]Kexi Kang, Jinghui Zhang, Jiahui Jin, Dian Shen, Runqun Xiong, Junzhou Luo:
QAECN: Dynamically Tuning ECN Threshold with Micro-burst in Multi-queue Data Centers. CSCWD 2019: 398-403 - 2018
- [e1]Weiming Shen, Junzhou Luo, Jean-Paul A. Barthès, Fang Dong, Jinghui Zhang, Haibin Zhu:
22nd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018, Nanjing, China, May 9-11, 2018. IEEE 2018, ISBN 978-1-5386-1482-2 [contents] - 2017
- [c10]Jian Chen, Jinghui Zhang, Aibo Song:
Efficient Data and Task Co-Scheduling for Scientific Workflow in Geo-Distributed Datacenters. CBD 2017: 63-68 - 2016
- [j5]Jiyuan Shi, Junzhou Luo, Fang Dong, Jinghui Zhang, Junxue Zhang:
Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints. Clust. Comput. 19(1): 167-182 (2016) - [c9]Jiyuan Shi, Fang Dong, Jinghui Zhang, Jiahui Jin, Junzhou Luo:
Resource provisioning optimization for service hosting on cloud platform. CSCWD 2016: 340-345 - 2015
- [j4]Jinghui Zhang, Mingjun Wang, Junzhou Luo, Fang Dong, Junxue Zhang:
Towards optimized scheduling for data-intensive scientific workflow in multiple datacenter environment. Concurr. Comput. Pract. Exp. 27(18): 5606-5622 (2015) - [j3]Jinghui Zhang, Junzhou Luo, Fang Dong:
Scientific workflow scheduling in non-dedicated heterogeneous multicluster with advance reservations. Integr. Comput. Aided Eng. 22(3): 261-280 (2015) - [c8]Jiyuan Shi, Fang Dong, Jinghui Zhang, Junzhou Luo, Ding Ding:
Two-Phase Online Virtual Machine Placement in Heterogeneous Cloud Data Center. SMC 2015: 1369-1374 - 2014
- [c7]Mingjun Wang, Jinghui Zhang, Fang Dong, Junzhou Luo:
Data Placement and Task Scheduling Optimization for Data Intensive Scientific Workflow in Multiple Data Centers Environment. CBD 2014: 77-84 - [c6]Jiyuan Shi, Junzhou Luo, Fang Dong, Jinghui Zhang:
A budget and deadline aware scientific workflow resource provisioning and scheduling mechanism for cloud. CSCWD 2014: 672-677 - 2013
- [j2]Jinghui Zhang, Junzhou Luo, Fang Dong:
Scheduling of scientific workflow in non-dedicated heterogeneous multicluster platform. J. Syst. Softw. 86(7): 1806-1818 (2013) - [c5]Jinghui Zhang, Junzhou Luo, Fang Dong:
Scheduling Parallel Task Graphs on non-dedicated heterogeneous multicluster platform with Moldable Task Duplication. CSCWD 2013: 313-318 - 2011
- [c4]Jinghui Zhang, Junzhou Luo:
Scheduling mixed-parallel application onto multicluster grid with background workloads. CSCWD 2011: 429-436
2000 – 2009
- 2009
- [j1]Jinghui Zhang, Junzhou Luo:
A comparison of utility-oriented algorithms for scheduling parallel tasks in multi-cluster grid. Clust. Comput. 12(4): 421-438 (2009) - [c3]Jinghui Zhang, Junzhou Luo, Zhiang Wu:
A Novel Approximate Algorithm for Admission Control. FAW 2009: 314-325 - 2008
- [c2]Jinghui Zhang, Junzhou Luo:
Agent based automated negotiation for grid. CSCWD 2008: 330-336 - 2007
- [c1]Jinghui Zhang, Junzhou Luo:
An Adaptive QoS Group Guided Grid Scheduling Algorithm with Task Replicas. CSCWD 2007: 617-622
Coauthor Index
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