An Adaptive QoS Group Guided Grid Scheduling Algorithm with Task Replicas. - Jinghui Zhang 001; Junzhou Luo (CSCWD, 2007)

Agent based automated negotiation for grid. - Jinghui Zhang 001; Junzhou Luo (CSCWD, 2008)

A Novel Approximate Algorithm for Admission Control. - Jinghui Zhang 001; Junzhou Luo; Zhiang Wu 001 (FAW, 2009)

A comparison of utility-oriented algorithms for scheduling parallel tasks in multi-cluster grid. - Jinghui Zhang 001; Junzhou Luo (Clust. Comput., 2009)

Scheduling mixed-parallel application onto multicluster grid with background workloads. - Jinghui Zhang 001; Junzhou Luo (CSCWD, 2011)

Scheduling Parallel Task Graphs on non-dedicated heterogeneous multicluster platform with Moldable Task Duplication. - Jinghui Zhang 001; Junzhou Luo; Fang Dong 001 (CSCWD, 2013)

Scheduling of scientific workflow in non-dedicated heterogeneous multicluster platform. - Jinghui Zhang 001; Junzhou Luo; Fang Dong 001 (J. Syst. Softw., 2013)

Data Placement and Task Scheduling Optimization for Data Intensive Scientific Workflow in Multiple Data Centers Environment. - Mingjun Wang; Jinghui Zhang 001; Fang Dong 001; Junzhou Luo (CBD, 2014)

A budget and deadline aware scientific workflow resource provisioning and scheduling mechanism for cloud. - Jiyuan Shi; Junzhou Luo; Fang Dong 001; Jinghui Zhang 001 (CSCWD, 2014)

Two-Phase Online Virtual Machine Placement in Heterogeneous Cloud Data Center. - Jiyuan Shi; Fang Dong 001; Jinghui Zhang 001; Junzhou Luo; Ding Ding 002 (SMC, 2015)

Towards optimized scheduling for data-intensive scientific workflow in multiple datacenter environment. - Jinghui Zhang 001; Mingjun Wang; Junzhou Luo; Fang Dong 001; Junxue Zhang 001 (Concurr. Comput. Pract. Exp., 2015)

Scientific workflow scheduling in non-dedicated heterogeneous multicluster with advance reservations. - Jinghui Zhang 001; Junzhou Luo; Fang Dong 001 (Integr. Comput. Aided Eng., 2015)

Resource provisioning optimization for service hosting on cloud platform. - Jiyuan Shi; Fang Dong 001; Jinghui Zhang 001; Jiahui Jin 001; Junzhou Luo (CSCWD, 2016)

Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints. - Jiyuan Shi; Junzhou Luo; Fang Dong 001; Jinghui Zhang 001; Junxue Zhang 001 (Clust. Comput., 2016)

Efficient Data and Task Co-Scheduling for Scientific Workflow in Geo-Distributed Datacenters. - Jian Chen; Jinghui Zhang 001; Aibo Song (CBD, 2017)

MBECN: Enabling ECN with Micro-burst Traffic in Multi-queue Data Center. - Kexi Kang; Jinghui Zhang 001; Jiahui Jin 001; Dian Shen; Junzhou Luo; Wenxin Li; Zhiang Wu 001 (CLUSTER, 2019)

QAECN: Dynamically Tuning ECN Threshold with Micro-burst in Multi-queue Data Centers. - Kexi Kang; Jinghui Zhang 001; Jiahui Jin 001; Dian Shen; Runqun Xiong; Junzhou Luo (CSCWD, 2019)

Graph partition-based data and task co-scheduling of scientific workflow in geo-distributed datacenters. - Jinghui Zhang 001; Jian Chen; Jun Zhan; Jiahui Jin 001; Aibo Song (Concurr. Comput. Pract. Exp., 2019)

A data-locality-aware task scheduler for distributed social graph queries. - Jiahui Jin 001; Junzhou Luo; Mingyang Du; Yongcheng Dang; Feng Li; Jinghui Zhang 001; Aibo Song (Future Gener. Comput. Syst., 2019)

Optimizing execution for pipelined-based distributed deep learning in a heterogeneously networked GPU cluster. - Jinghui Zhang 001; Jun Zhan; Jiange Li; Jiahui Jin 001; Lei Qian (Concurr. Comput. Pract. Exp., 2020)

DDoS Attack Detection Based on CNN and Federated Learning. - Dingyang Lv; Xinyu Cheng; Jinghui Zhang 001; Wei Zhang; Wei Zhao 023; He Xu 002 (CBD, 2021)

PipePar: A Pipelined Hybrid Parallel Approach for Accelerating Distributed DNN Training. - Jiange Li; Yuchen Wang; Jinghui Zhang 001; Jiahui Jin 001; Fang Dong 001; Lei Qian (CSCWD, 2021)

Region-aware POI Recommendation with Semantic Spatial Graph. - Jiakai Tang; Jiahui Jin 001; Zijia Miao; Binjie Zhang; Qi An; Jinghui Zhang 001 (CSCWD, 2021)

Towards Tunable RDMA Parameter Selection at Runtime for Datacenter Applications. - Kai Wang; Fang Dong 001; Dian Shen; Chengtian Zhang; Jinghui Zhang 001; Junzhou Luo (CSCWD, 2021)

ColorByte: A real time MOT method using fast appearance feature based on ByteTrack. - Lin Shen; Mengyang Liu; Caishan Weng; Jinghui Zhang 001; Fang Dong 001; Fa Zheng (CBD, 2022)

Federated Learning Client Selection Mechanism Under System and Data Heterogeneity. - Fan Xin; Jinghui Zhang 001; Junzhou Luo; Fang Dong 001 (CSCWD, 2022)

Non-parameter clustering algorithm based on saturated neighborhood graph. - Jinghui Zhang 001; Lijun Yang; Yong Zhang; Dongming Tang; Tao Liu 027 (Appl. Soft Comput., 2022)

FedAda: Fast-convergent adaptive federated learning in heterogeneous mobile edge computing environment. - Jinghui Zhang 001; Xinyu Cheng; Cheng Wang; Yuchen Wang; Zhan Shi; Jiahui Jin 001; Aibo Song; Wei Zhao 023; Liangsheng Wen; Tingting Zhang (World Wide Web, 2022)

HPopt: A Hybrid Parallel Optimization Scheduling Approach for Distributed DNN Training. - Caishan Weng; Xinyang Li; Jinghui Zhang 001; Hang Yu (CBD, 2023)

FreezePipe: An Efficient Dynamic Pipeline Parallel Approach Based on Freezing Mechanism for Distributed DNN Training. - Caishan Weng; Zhiyang Shu; Zhengjia Xu; Jinghui Zhang 001; Junzhou Luo; Fang Dong 001; Peng Wang; Zhengang Wang (CSCWD, 2023)

Label Information Enhanced Fraud Detection against Low Homophily in Graphs. - Yuchen Wang; Jinghui Zhang 001; Zhengjie Huang; Weibin Li 004; Shikun Feng; Ziheng Ma; Yu Sun 029; Dianhai Yu; Fang Dong 001; Jiahui Jin 001; Beilun Wang; Junzhou Luo (WWW, 2023)

Sensor-based implicit authentication through learning user physiological and behavioral characteristics. - Jinghui Zhang 001; Zichao Li; Hancheng Zhang; Wei Zhang; Zhen Ling 001; Ming Yang 001 (Comput. Commun., 2023)

PADP-FedMeta: A personalized and adaptive differentially private federated meta learning mechanism for AIoT. - Fang Dong 001; Xinghua Ge; Qinya Li; Jinghui Zhang 001; Dian Shen; Siqi Liu; Xiao Liu 004; Gang Li 009; Fan Wu 006; Junzhou Luo (J. Syst. Archit., 2023)

Wi-Fi device identification based on multi-domain physical layer fingerprint. - Jinghui Zhang 001; Zhengjia Xu; Junhe Li; Qiangsheng Dai; Zhen Ling 001; Ming Yang 001 (Comput. Commun., 2023)

Mobile applications identification using autoencoder based electromagnetic side channel analysis. - Jinghui Zhang 001; Boxi Liang; Hancheng Zhang; Wei Zhang; Zhen Ling 001; Ming Yang 001 (J. Inf. Secur. Appl., 2023)

Noise-aware Local Model Training Mechanism for Federated Learning. - Jinghui Zhang 001; Dingyang Lv; Qiangsheng Dai; Fa Xin; Fang Dong 001 (ACM Trans. Intell. Syst. Technol., 2023)

Multi-Exit DNN Inference Acceleration Based on Multi-Dimensional Optimization for Edge Intelligence. - Fang Dong 001; Huitian Wang; Dian Shen; Zhaowu Huang; Qiang He 001; Jinghui Zhang 001; Liangsheng Wen; Tingting Zhang (IEEE Trans. Mob. Comput., 2023)

PipePar: Enabling fast DNN pipeline parallel training in heterogeneous GPU clusters. - Jinghui Zhang 001; Geng Niu; Qiangsheng Dai; Haorui Li; Zhihua Wu; Fang Dong 001; Zhiang Wu 001 (Neurocomputing, 2023)

Simulation-based joint user assignment and edge resource allocation optimization for hybrid tasks in vehicular edge computing. - Jinghui Zhang 001; Yizhou Tang; Jiawei Wang; Dingyang Lv; Liqun Zhu; Fang Dong 001 (Simul. Model. Pract. Theory, 2023)

Simulation based QoS aware dynamic caching scheme for heterogeneous content requests in vehicular edge computing. - Xiaodan Gu; Zhihan Zhang; Jinghui Zhang 001; Liqun Zhu; Fang Dong 001 (J. King Saud Univ. Comput. Inf. Sci., 2023)

Multi-exit DNN inference acceleration for intelligent terminal with heterogeneous processors. - Jinghui Zhang 001; Weilong Xin; Dingyang Lv; Jiawei Wang; Guangxing Cai; Fang Dong 001 (Sustain. Comput. Informatics Syst., 2023)

DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph. - Jinghui Zhang 001; Zhengjia Xu; Dingyang Lv; Zhan Shi; Dian Shen; Jiahui Jin 001; Fang Dong 001 (AAAI, 2024)

Future Blink Prediction in Virtual Reality Using Time-Series Eye Movement Data. - Wenjie Zhang; Ding Ding 002; Jinghui Zhang 001; Runqun Xiong; Jiahui Jin 001; Fang Dong 001; Xiangyu Xu 001; Kai Dong 001 (CBD, 2024)

A Deep Prediction Framework for Multi-Source Information via Heterogeneous GNN. - Zhen Wu 001; Jingya Zhou; Jinghui Zhang 001; Ling Liu 001; Chizhou Huang (KDD, 2024)

SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition. - Wenbo Huang 001; Jinghui Zhang 001; Xuwei Qian; Zhen Wu 001; Meng Wang 009; Lei Zhang 130 (ACM Multimedia, 2024)

FLRF: Federated recommendation optimization for long-tail data distribution. - Zaigang Gong; Siyu Chen; Qiangsheng Dai; Ying Feng; Jinghui Zhang 001 (Array, 2024)

Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networks. - Zhengjia Xu; Dingyang Lyu 001; Jinghui Zhang 001 (CoRR, 2024)

Non-parameter clustering algorithm based on chain propagation and natural neighbor. - Tianshuo Li; Lijun Yang; Juntao Yang; Rui Pu; Jinghui Zhang 001; Dongming Tang; Tao Liu 027 (Inf. Sci., 2024)

NMNN: Newtonian Mechanics-based Natural Neighbor algorithm. - Wentong Wang; Lijun Yang; Juntao Yang; Jinghui Zhang 001; Dongming Tang; Tao Liu 027 (Inf. Sci., 2024)

Federated variational generative learning for heterogeneous data in distributed environments. - Wei Xie 011; Runqun Xiong; Jinghui Zhang 001; Jiahui Jin 001; Junzhou Luo (J. Parallel Distributed Comput., 2024)

Natural local density-based adaptive oversampling algorithm for imbalanced classification. - Wentong Wang; Lijun Yang; Jinghui Zhang 001; Juntao Yang; Dongming Tang; Tao Liu 027 (Knowl. Based Syst., 2024)

Micro-Burst Aware ECN in Multi-Queue Data Centers: Algorithm and Implementation. - Jinghui Zhang 001; Dian Shen; Fang Dong 001; Kexi Kang; Jiahui Jin 001; Junzhou Luo; Junxue Zhang 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Joint Optimization of Device Selection and Resource Allocation for Multiple Federations in Federated Edge Learning. - Shucun Fu; Fang Dong 001; Dian Shen; Jinghui Zhang 001; Zhaowu Huang; Qiang He 001 (IEEE Trans. Serv. Comput., 2024)

GNaN: A natural neighbor search algorithm based on universal gravitation. - Juntao Yang; Lijun Yang; Jinghui Zhang 001; Qiwen Liang; Wentong Wang; Dongming Tang; Tao Liu 027 (Pattern Recognit., 2024)

Inferring Point-of-Interest Relationship for Strategic Group Discovery Guided by User Demands. - Jiahui Jin 001; Haoxiang Zhang 003; Wenchao Bai; Xin Lin; Jinghui Zhang 001 (IEEE Trans. Consumer Electron., 2024)

Learning context-aware region similarity with effective spatial normalization over Point-of-Interest data. - Jiahui Jin 001; Yifan Song 003; Dong Kan; Binjie Zhang; Yan Lyu; Jinghui Zhang 001; Hongru Lu (Inf. Process. Manag., 2024)

Addressing Heterogeneity in Federated Learning with Client Selection via Submodular Optimization. - Jinghui Zhang 001; Jiawei Wang; Yaning Li; Fa Xin; Fang Dong 001; Junzhou Luo; Zhihua Wu (ACM Trans. Sens. Networks, 2024)

Imbalanced node classification with Graph Neural Networks: A unified approach leveraging homophily and label information. - Dingyang Lv; Zhengjia Xu; Jinghui Zhang 001; Yuchen Wang; Fang Dong 001 (Appl. Soft Comput., 2024)

Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence. - Wenbo Huang 001; Jinghui Zhang 001; Guang Li 008; Lei Zhang 130; Shuoyuan Wang; Fang Dong 001; Jiahui Jin 001; Takahiro Ogawa 001; Miki Haseyama (AAAI, 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 002; Xiangyu Xu 001; Jinghui Zhang 001; Jiahui Jin 001; Fang Dong 001 (CSCWD, 2025)

Urban Region Pre-training and Prompting: A Graph-based Approach. - Jiahui Jin 001; Yifan Song 003; Dong Kan; Haojia Zhu; Xiangguo Sun; Zhicheng Li; Xigang Sun; Jinghui Zhang 001 (KDD (2), 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 001 (Big Data Min. Anal., 2025)

Forecasting blink behavior during VR experiences via a multi-scale multi-modal fusion approach. - Ding Ding 002; Wenjie Zhang; Jinghui Zhang 001; Runqun Xiong; Jiahui Jin 001; Fang Dong 001 (Complex Intell. Syst., 2025)

RLFreeze: Accelerating Distributed Freezing Training with Reinforcement Learning. - Zaigang Gong; Siyu Chen; Qiangsheng Dai; Ying Feng; Geng Niu; Jinghui Zhang 001 (Data Intell., 2025)

Boundary Prompting: Elastic Urban Region Representation via Graph-based Spatial Tokenization. - Haojia Zhu; Jiahui Jin 001; Dong Kan; Rouxi Shen; Ruize Wang; Xiangguo Sun; Jinghui Zhang 001 (CoRR, 2025)

Resource-Efficient DNN Inference With Early Exiting in Serverless Edge Computing. - Xiaolin Guo; Fang Dong 001; Dian Shen; Zhaowu Huang; Jinghui Zhang 001 (IEEE Trans. Mob. Comput., 2025)

Spatiotemporal Generalization Graph Neural Network-Based Prediction Models by Considering Morphological Diversity in Traffic Networks. - Limei Liu; Peibo Duan; Zhuo Chen 019; Jinghui Zhang 001; Siyuan Feng 006; Wenwei Yue; Yibo Wang; Jia Rong (IEEE Trans. Intell. Transp. Syst., 2025)

Multi-Dimensional Training Optimization for Efficient Federated Synergy Learning. - Shucun Fu; Fang Dong 001; Runze Chen 001; Dian Shen; Jinghui Zhang 001; Qiang He 001 (IEEE Trans. Mob. Comput., 2025)

An Event-Centric Framework for Predicting Crime Hotspots With Flexible Time Intervals. - Jiahui Jin 001; Yi Hong 003; Guandong Xu; Jinghui Zhang 001; Jun Tang; Hancheng Wang (IEEE Trans. Knowl. Data Eng., 2025)

Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV. - Wenbo Huang 001; Jinghui Zhang 001; Zhenghao Chen; Guang Li 008; Lei Zhang 130; Yang Cao; Fang Dong 001; Takahiro Ogawa 001; Miki Haseyama (AAAI, 2026)