Strategies for Promoting Better Interaction between Higher Education and IT Industry. - Ying Lin 004; Yan Zhang; Tong Li 004 (ICEE, 2010)

A recursive algorithm for scheduling of tasks in a heterogeneous distributed environment. - Yan Kang 003; Ying Lin 004 (BMEI, 2011)

基于Petri网的软件动态演化的一致性分析 (Consistency Analysis of Software Dynamic Evolution Based on Petri Net). - Zhongwen Xie; Li Ming; Ying Lin 004; Jianglong Qin; Qi Mo; Tong Li 004 (计算机科学, 2016)

构件系统建模及其动态演化一致性验证方法 (Dynamic Evolution Consistency Verification Method for Component System Modeling). - Ming Zheng; Tong Li 004; Ying Lin 004; Xiaoxuan Zhou; Xiang Li; Li Ming (计算机科学, 2017)

Instance-Driven Property Alignment in Linked Open Data Cloud. - Cheng Xie; Ying Lin 004; Hongming Cai 001 (CSCWD, 2018)

构件系统演化一致性的判定方法 (Judgement Method of Evolution Consistency of Component System). - Jiaojiao Zheng; Tong Li 004; Ying Lin 004; Zhongwen Xie; Xiaofang Wang; Lei Cheng; Miao Liu (计算机科学, 2018)

The Short-Term Exit Traffic Prediction of a Toll Station Based on LSTM. - Ying Lin 004; Runfang Wang; Rui Zhu; Tong Li 004; Zhan Wang; Maoyu Chen (KSEM (2), 2020)

Differential privacy protection over deep learning: An investigation of its impacted factors. - Ying Lin 004; Ling-Yan Bao; Ze-Minghui Li; Shu-Zheng Si; Chao-Hsien Chu (Comput. Secur., 2020)

A Novel Learning Method for Traffic Flow Forecasting by Seasonal SVR with Chaotic Simulated Annealing Algorithm. - Shaofei Liu; Ying Lin 004; Chao Luo; Weiye Shi (ICCCS, 2021)

An Adversarial Training Method for Improving Model Robustness in Unsupervised Domain Adaptation. - Zhishen Nie; Ying Lin 004; Meng Yan 012; Yifan Cao; Shengfu Ning (KSEM, 2021)

Adaptive perturbation adversarial training: based on reinforcement learning. - Zhishen Nie; Ying Lin 004; Sp Ren; Lan Zhang (CoRR, 2021)

GAN-Based Fusion Adversarial Training. - Yifan Cao; Ying Lin 004; Shengfu Ning; Huan Pi; Junyuan Zhang; Jianpeng Hu (KSEM (3), 2022)

PPBR-FL: A Privacy-Preserving and Byzantine-Robust Federated Learning System. - Ying Lin 004; Shengfu Ning; Jianpeng Hu; Jiansong Liu; Yifan Cao; Junyuan Zhang; Huan Pi (KSEM (3), 2022)

ACR-GNN: Adaptive Cluster Reinforcement Graph Neural Network Based on Contrastive Learning. - Jianpeng Hu; Shengfu Ning; Meng Yan 012; Yifan Cao; Zhishen Nie; Ying Lin 004 (Neural Process. Lett., 2023)

GANFAT: Robust federated adversarial learning with label distribution skew. - Yayu Luo; Tongzhijun Zhu; Zediao Liu; Tenglong Mao; Ziyi Chen; Huan Pi; Ying Lin 004 (Future Gener. Comput. Syst., 2024)

MFF-Net: A multi-view feature fusion network for generalized forgery image detection. - Ying Lin 004; Tenglong Mao; Ziyi Chen; Hong Lu; Zhaoyu Chen; Yan Kang 003 (Neurocomputing, 2025)

Tri-level interaction fusion network for graph similarity learning. - Yan Kang 003; Hao Peng; Yue Peng; Jing Guo; Ying Lin 004 (Knowl. Based Syst., 2025)

Federated learning with empirical insights: Leveraging gradient historical experiences for performance fairness. - Tongzhijun Zhu; Ying Lin 004; Yanzhen Qu; Zediao Liu; Yayu Luo; Tenglong Mao; Ziyi Chen (Pervasive Mob. Comput., 2025)