Wenzhao Lian

In 2016, I joined Vicarious working on artificial intelligence and robotics, after studying in the machine learning group at Duke University. In 2015, I got my Ph.D. in Electrical and Computer Engineering, advised by Dr. Lawrence Carin, and Master's degree in Statistics, advised by Dr. David Dunson. I got my Bachelor's Degree in Electrical and Computer Engineering in Shanghai Jiao Tong University in 2011. In the year of 2013 and 2010, I went to Department of Mathematics at Yale University and Department of Electrical and Computer Engineering at University of Virginia as a visiting student, respectively. My email is lianwenzhao@gmail.com.

Research Interests

I am interested in artificial intelligence and statistics, with a focus on the following topics.

  • Robotics, manipulation (an old photo)
  • Time series, point processes
  • Statistical inference
  • High-dimensional data analysis
  • Reinforcement learning

    Publications

  • Wenzhao Lian, Ricardo Henao, Vinayak Rao, Joseph Locus, Lawrence Carin, A Multitask Point Process Predictive Model,( Appendix ) In Proceedings of the International Conference on Machine Learning, 2015
  • Wenzhao Lian, Piyush Rai, Esther Salazar, Lawrence Carin, Integrating Features and Similarities: Flexible Models for Heterogeneous Multiview Data, ( Appendix ) Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
  • Evan X. Chen, Wenzhao Lian, Lawrence Carin, David Brady, Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification, Computational Optical Sensing and Imaging, 2015
  • Kyle Ulrich, David Carlson, Wenzhao Lian, Jana Borg, Kafui Dzirasa, Lawrence Carin, Analysis of Brain States from Multi-Region LFP Time-Series, ( Appendix ) Advances in Neural Information Processing Systems, 2014
  • Esther Salazar, Yuliya Nikolova, Wenzhao Lian, Piyush Rai, Adrienne L. Romer, Ahmad R. Hariri, and Lawrence Carin, A Bayesian Framework for Multi-Modality Analysis of Mental Health, ( Appendix ) submitted
  • Piyush Rai, Wenzhao Lian, Lawrence Carin, Bayesian Multitask Distance Metric Learning, NIPS Workshop on Transfer and Multi-Task Learning: Theory meets Practice, 2014
  • Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang, Convex factorization machine for toxicogenomics prediction, Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
  • Wenzhao Lian, Piyush Rai, Esther Salazar, Lawrence Carin, Bayesian Multiview Factor Modeling for Integrating and Analyzing Heterogeneous Clinical Data, NIPS Workshop on Machine Learning for Clinical Data Analysis, Healthcare and Genomics, 2014
  • Wenzhao Lian, Vinayak Rao, Brian Eriksson, Lawrence Carin, Modeling Correlated Arrival Events with Latent Semi-Markov Processes, ( Appendix ) (Code) In Proceedings of the International Conference on Machine Learning, 2014
  • Wenzhao Lian, Ronen Talmen, Hitten Zaveri, Lawrence Carin, Ronald Coifman, Multivariate Time-Series Analysis and Diffusion Maps, Signal Processing, 2015, vol. 116, pp. 13-28
  • David E. Carlson, Joshua T. Vogelstein, Qisong Wu, Wenzhao Lian, Mingyuan Zhou, Colin R. Stoetzner, Daryl Kipke, Douglas Weber, David B. Dunson and Lawrence Carin, Sorting Electrophysiological Data via Dictionary Learning & Mixture Modeling, IEEE Transactions on Biomedical Engineering. July, 2013

    Working Experience

  • Senior Researcher at Vicarious, San Francisco, CA, Jan. 2016 to Present
  • Research intern at Yahoo Labs, Sunnyvale, CA, Jun. to Sept. 2015
  • Research intern at Microsoft Research, Redmond, WA, May to Aug. 2014
  • Research intern at Technicolor Research Center, Palo Alto, CA, Jun. to Aug. 2013

    Teaching Experience

  • Teaching assistant for STA571, Advanced Machine Learning, Spring 2015
  • Teaching assistant for STA561/CS571, Probabilistic Machine Learning, Fall 2013