High order neural networks with reduced numbers of interconnection weights. - Hedong Yang; Clark C. Guest (IJCNN, 1990)

Linear discriminants, logic functions, backpropagation, and improved convergence. - Hedong Yang; Clark C. Guest (IJCNN, 1990)

An Optimal Approach for Workflow Staff Assignment Based on Hidden Markov Models. - Hedong Yang; Chaokun Wang; Yingbo Liu; Jianmin Wang 001 (OTM Workshops, 2008)

An Approach to Evaluate the Local Completeness of an Event Log. - Hedong Yang; Lijie Wen 001; Jianmin Wang 001 (ICDM, 2012)

An Approach to Recommend Resources for Business Processes. - Hedong Yang; Lijie Wen 001; Yingbo Liu; Jianmin Wang 001 (OTM Workshops, 2012)

An Approach to Identifying False Traces in Process Event Logs. - Hedong Yang; Lijie Wen 001; Jianmin Wang 001 (PAKDD (2), 2013)

CPL+: An improved approach for evaluating the local completeness of event logs. - Hedong Yang; Lijie Wen 001; Jianmin Wang 001; Raymond K. Wong 001 (Inf. Process. Lett., 2014)

Estimating Global Completeness of Event Logs: A Comparative Study. - Jisheng Pei; Lijie Wen 001; Hedong Yang; Jianmin Wang 001; Xiaojun Ye 001 (IEEE Trans. Serv. Comput., 2021)

DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks. - Erzhuo Shao; Huandong Wang; Jie Feng 002; Tong Xia; Hedong Yang; Lu Geng; Depeng Jin; Yong Li 008 (IEEE Trans. Knowl. Data Eng., 2022)

LCDD: Detecting Business Process Drifts Based on Local Completeness. - Leilei Lin; Lijie Wen 001; Li Lin 011; Jisheng Pei; Hedong Yang (IEEE Trans. Serv. Comput., 2022)