A Simplification to Support Vector Machine for the Second Training. - Jinglong Fang; Shuo Chen 007; Zhigeng Pan; Yigang Wang (ICAT Workshops, 2006)

PathRings: a web-based tool for exploration of ortholog and expression data in biological pathways. - Yongnan Zhu; Liang Sun; Alexander Garbarino; Carl J. Schmidt; Jinglong Fang; Jian Chen 006 (BMC Bioinform., 2015)

A hybrid method for splice site prediction based on Markov model and codon information. - Dan Wei; Yin Peng; Yanjie Wei; Qingshan Jiang; Jinglong Fang (Int. J. Data Min. Bioinform., 2016)

Multi-instance learning based on representative instance and feature mapping. - Xingqi Wang 001; Dan Wei; Hui Cheng; Jinglong Fang (Neurocomputing, 2016)

Test Case Prioritization Technique Based on Error Probability and Severity of UML Models. - Tianning Zhang; Xingqi Wang 001; Dan Wei; Jinglong Fang (Int. J. Softw. Eng. Knowl. Eng., 2018)

Semantic distance between vague concepts in a framework of modeling with words. - Weifeng Zhang 002; Hua Hu 001; Haiyang Hu; Jinglong Fang (Soft Comput., 2019)

A Student Attendance Management Method Based on Crowdsensing in Classroom Environment. - Zhigang Gao; Yucai Huang; Leilei Zheng; Xiaodong Li; Huijuan Lu; Jianhui Zhang; Qingling Zhao; Wenjie Diao; Qiming Fang; Jinglong Fang (IEEE Access, 2021)

Unnoticeable synthetic face replacement for image privacy protection. - Zhenzhong Kuang; Zhiqiang Guo; Jinglong Fang; Jun Yu 002; Noboru Babaguchi; Jianping Fan 001 (Neurocomputing, 2021)

The Traffic Flow Prediction Method Using the Incremental Learning-Based CNN-LTSM Model: The Solution of Mobile Application. - Yanli Shao; Yiming Zhao; Feng Yu 010; Huawei Zhu; Jinglong Fang (Mob. Inf. Syst., 2021)

SSD based on contour-material level for domain adaptation. - Ning Jiang; Jinglong Fang; Jihui Xu; Yanli Shao (Pattern Anal. Appl., 2021)

Research on Cross-Company Defect Prediction Method to Improve Software Security. - Yanli Shao; Jingru Zhao; Xingqi Wang; Weiwei Wu; Jinglong Fang (Secur. Commun. Networks, 2021)

Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining. - Yong Peng 001; Wanzeng Kong; Feiwei Qin; Feiping Nie 001; Jinglong Fang; Bao-Liang Lu; Andrzej Cichocki (IEEE Trans. Instrum. Meas., 2021)

JPEG Image Steganalysis Using Weight Allocation from Block Evaluation. - Weiwei Luo; Wenpeng Zhou; Jinglong Fang; Lingyan Fan (IEICE Trans. Inf. Syst., 2022)

Corrigendum to "Multi-instance learning based on representative instance and feature mapping" [Neurocomputing 216 (2016) 790-796/1]. - Xingqi Wang 001; Dan Wei; Hui Cheng; Jinglong Fang (Neurocomputing, 2022)

Learning invariant representation using synthetic imagery for object detection. - Ning Jiang; Jinglong Fang; Yanli Shao (AI Commun., 2023)

Semantic-aware Transformer for shadow detection. - Kai Zhou; Jinglong Fang; Wen Wu; Yanli Shao; Xingqi Wang; Dan Wei (Comput. Vis. Image Underst., 2024)

Online Transfer Learning With Pseudo Label for Gait Phase Prediction. - Zhenpeng Guo; Hanrui Wu; Jinglong Fang; Jia Zhang; Jinyi Long (IEEE Trans. Instrum. Meas., 2024)

Toward Cross-Brain-Computer Interface: A Prototype-Supervised Adversarial Transfer Learning Approach With Multiple Sources. - Jia Zhang; Jinglong Fang; Siwei Liu 014; Dezheng Liu; Hanrui Wu; Jinyi Long (IEEE Trans. Instrum. Meas., 2024)

Synthetic Data with Global-Local Level for Adversarial-based Domain Adaptation. - Ning Jiang; Jinglong Fang; Yanli Shao (J. Exp. Theor. Artif. Intell., 2024)

Boosting sparsely annotated shadow detection. - Kai Zhou; Yanli Shao; Jinglong Fang; Dan Wei; Wanlu Sun (Appl. Intell., 2024)

Exploring better sparsely annotated shadow detection. - Kai Zhou; Jinglong Fang; Dan Wei; Wen Wu 008; Rui Hu (Neural Networks, 2025)

CoAdapt: Collaborative Adaptation Between Latent EEG Feature Representation and Annotation for Emotion Decoding. - Xiaoxiao Gong; Yuxin Chen; Pengfei Zhang; Yong Peng 001; Jinglong Fang; Andrzej Cichocki (IEEE Trans. Instrum. Meas., 2025)