A comprehensive evaluation approach for key clients of the third party logistics based on the extension theory. - Yanwei Zhao; Lei Zhu; Nan Su; Huijun Tang; Yuankun Gui (CSCWD, 2008)

Global Reliability Evaluation for Cloud Storage Systems with Proactive Fault Tolerance. - Jing Li 036; Mingze Li; Gang Wang 001; Xiaoguang Liu 001; Zhongwei Li; Huijun Tang (ICA3PP (4), 2015)

High resolution visualization of Görtler-like vortices in supersonic compression ramp flow. - Yi Zhuang; Huijun Tang; Ya-zhou Liu; Yu-chao Zhang; Yu Ling (J. Vis., 2017)

A New Algorithm of Mining High Utility Sequential Pattern in Streaming Data. - Huijun Tang; Yangguang Liu; Le Wang (Int. J. Comput. Intell. Syst., 2018)

Research on Higher English Internationalization Education Model and Evaluation Index System Based on Multi-Source Information Fusion. - Bei Yang; Huijun Tang; Lei Mou (Comput. Intell. Neurosci., 2021)

Deep Reinforcement Learning-Guided Task Reverse Offloading in Vehicular Edge Computing. - Anqi Gu; Huaming Wu; Huijun Tang; Chaogang Tang (GLOBECOM, 2022)

Bayesian Contrastive Representation Learning for Dynamic Graph. - Zian Wu; Huijun Tang; Huan Liu (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Mining Statistically Significant Patterns with High Utility. - Huijun Tang; Jiangbo Qian; Yangguang Liu; Xiao-Zhi Gao 001 (Int. J. Comput. Intell. Syst., 2022)

Joint Computation Offloading and Resource Allocation Under Task-Overflowed Situations in Mobile-Edge Computing. - Huijun Tang; Huaming Wu; Yubin Zhao; Ruidong Li 001 (IEEE Trans. Netw. Serv. Manag., 2022)

Enhancing Network Alignment through Multi-Scale Information Fusion. - Zhihao Chen; Pengfei Jiao; Yinghui Wang; Huijun Tang; Jilin Zhang (ICKG, 2023)

Temporal Graph Representation Learning with Adaptive Augmentation Contrastive. - Hongjiang Chen; Pengfei Jiao; Huijun Tang; Huaming Wu (ECML/PKDD (2), 2023)

Lyapunov-Guided Delay-Aware Energy Efficient Offloading in IIoT-MEC Systems. - Huaming Wu; Junqi Chen 003; Tu N. Nguyen 001; Huijun Tang (IEEE Trans. Ind. Informatics, 2023)

Double Deep Q-Network Based Dynamic Framing Offloading in Vehicular Edge Computing. - Huijun Tang; Huaming Wu; Guanjin Qu; Ruidong Li 001 (IEEE Trans. Netw. Sci. Eng., 2023)

Role-oriented representation learning via fusioning local and higher-order feature. - Ming Du; Pengfei Jiao; Huijun Tang; Wang Zhang 001; Jian Wu (Knowl. Based Syst., 2023)

Link Topology-Adaptive Offloading Method On Vehicular Edge Computing. - Huijun Tang; Ming Du; Huaming Wu; Pengfei Jiao (INFOCOM (Workshops), 2024)

The Impact of Data Federation Technology on Supply Chain Financing Based on Dynamic Evolutionary Game Analysis. - Huijun Tang (Int. J. Inf. Syst. Supply Chain Manag., 2024)

How to Promote Data Sharing of Financial Service Providers Based on Federated Learning Technology. - Huijun Tang (Inf. Resour. Manag. J., 2024)

Contrastive representation learning on dynamic networks. - Pengfei Jiao; Hongjiang Chen; Huijun Tang; Qing Bao; Long Zhang; Zhidong Zhao; Huaming Wu (Neural Networks, 2024)

Fine-Tuned Personality Federated Learning for Graph Data. - Meiting Xue; Zian Zhou; Pengfei Jiao; Huijun Tang (IEEE Trans. Big Data, 2024)

Lyapunov-Guided Offloading Optimization Based on Soft Actor-Critic for ISAC-Aided Internet of Vehicles. - Yonghui Liang; Huijun Tang; Huaming Wu; Yixiao Wang 002; Pengfei Jiao (IEEE Trans. Mob. Comput., 2024)

HyperRole: Hyperbolic Graph Transformer for Role Discovery in Online Social Networks. - Huijun Tang; Ming Du; Pengfei Jiao; Huaming Wu; Zhidong Zhao (INFOCOM, 2025)

Analysis of Vertical Federated Technology for Effective Financing of Small and Medium-Sized Enterprises Based on Three-Party Evolutionary Game. - Huijun Tang (Int. J. Knowl. Manag., 2025)

GGAT: Gravitation-Based Graph Attention Networks. - Shujuan Wei; Huijun Tang; Pengfei Jiao; Huaming Wu (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands. - Huijun Tang; Jieling Zhang; Zhidong Zhao; Huaming Wu; Hongjian Sun; Pengfei Jiao (CoRR, 2025)

Diffusion Model Enhanced Deep Reinforcement Learning for Traffic Control in 6G Networks. - Huaifeng Shi; Rui Wang; Chengsheng Pan; Feifei Gao; Huijun Tang; Liming Chen (IEEE Commun. Mag., 2025)