Education Profile

  • ​Ph.D., Computer Engineering, Nanyang Technological University, Singapore, 2014.

Professional Profile

  • ​2016-2017: Research Scientist, Tencent AI Lab, Shenzhen, China.
  • 2013-2016: Research Scientist, I2R, A*STAR, Singapore.

Peng Yang worked as a Postdoctoral research fellow at Prof. Xin Gao's Structural and Functional Bioinformatics Group (SFB) at King Abdullah University of Science and Technology (KAUST) during 2016-2018. Currently, Peng is a research scientist at Baidu Research.

Research Interests

  • ​Machine Learning and Data Mining problem, especially online active learning, multi-task learning, recommender systems, and deep learning.
  • Algorithms for bioinformatics problems, especially in disease gene prediction, drug-target interaction prediction, protein complex, and microbial community pattern detection.

Selected Publications

​1. P. Yang, P. Zhao, Z. Hai, W. Liu, SCH. Hoi, XL. Li. Efficient multi-class selective sampling on graphs. Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, (UAI 2016).
2. P. Yang, G. Li, P. Zhao, XL. Li, SD. Gollapalli.Learning correlative and personalized structure for online multi-task classification. Proceedings of the 2016 SIAM International Conference on Data Mining, (SDM 2016).
3. P. Yang, P. Zhao, VM. Zheng, XL. Li.An aggressive graph-based selective sampling algorithm for classification. Proceedings of the 2015 IEEE International Conference on Data Mining, (ICDM 2015).
4. P. Yang, P. Zhao.A min-max optimization framework for online graph classification. Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, (CIKM 2015).
5. JP. Mei, CK. Kwoh, P. Yang, XL. Li, J. Zheng.Drug–target interaction prediction by learning from local information and neighbors. Bioinformatics, 29(2), 238-245, (2013).
6. P. Yang, XL. Li, JP. Mei, CK. Kwoh, SK. Ng.Positive-unlabeled learning for disease gene identification. Bioinformatics, 28(20), 2640-2647, (2012).
7. P. Yang, XL. Li, M. Wu, CK. Kwoh, SK. Ng. Inferring gene-phenotype associations via global protein complex network propagation. PloS one, 6(7), e21502. (2011).