Haishuai Wang
Harvard University, United States
Dr. Haishuai Wang is a research fellow in Computer Science and Biomedical Informatics at Harvard University. He was a postdoc associate at Washington University in St. Louis. He received his Ph.D. from the Centre of Artificial Intelligence (CAI), University of Technology Sydney. His research focuses on Data Mining, Machine Learning, Bioinformatics and Artificial Intelligence. He has been applying his research to real-world applications, including social networks and bioinformatics. He serves as Program Committee for top conferences, including SDM, KDD, and NIPS, and Editorial board for journal of IEEE Access and Journal of Health and Medical Informatics.
Publications
1. Haishuai Wang, Zhicheng Cui, Yixin Chen, Machael Avidan, Arb Abdallah and Alex Kronzer. Predicting Hospital Readmission via Cost-sensitive Deep Learning. ACM/IEEE Transactions on Computational Biology and Bioinformatics. Accepted. 2018.
2. Haishuai Wang, Peng Zhang, Xingquan Zhu, Ivor Tsang, Ling Chen, Chengqi Zhang. Incremental Subgraph Feature Selection for Graph Classification. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 29(1), pp. 128-142, 2017.
3. Haishuai Wang, Jia Wu, Shirui Pan, Peng Zhang, Ling Chen. Towards Large-scale Social Networks with Online Diffusion Provenance Detection. Journal of Computer Networks, 114, pp. 154-166, 2017.
4. Haishuai Wang, Jun Wu. Boosting for Real-time Multivariate Time Series Classification. AAAI Conference on Artificial Intelligence (AAAI 17), 4999-5000, 2017.
5. Haishuai Wang, Zhicheng Cui, Yixin Chen, Michael Avidan, Arbi Ben Abdallah, Alexander Kronzer. Cost-Sensitive Deep Learning for Early Readmission Prediction at A Major Hospital. 16th SIGKDD Workshop on Data Mining in Bioinformatics in KDD17, Accepted, To-appear, 2017.
6. Haishuai Wang, Jia Wu, Xingquan Zhu, Yixin Chen, Chengqi Zhang. Time-Variant Graph Classification. IEEE Transactions on Systems, Man, and Cybernetics (fourth-round review), CoRR abs/1609.04350, 2016