3rd Floor, Building 2, Eastcom Technology Park
66 Dongxin Avenue
Hangzhou, Zhejiang, 310053
Welcome! I am Tiancheng Zhao (赵天成), a research scientist at Binjiang Institute of Zhejiang University, and I also lead the Om Artificial Intelligence Laboratory (Om AI Lab). I received my Ph.D. in Computer Science from Carnegie Mellon University , Language Technologies Institute, advised by Prof. Maxine Eskenazi. Prior to that, I obtained my bachelor degree in Electrical Engineering from University of California, Los Angeles with Summa Cum Laude and worked on speech signal processing, advised by Prof. Abeer Alwan.
I am interested in multimodal machine learning and human computer interaction. My current focus is to develop computational building blocks that connect the machine with people by innovating with the latest machine learning methods and practical system implementations.The technical challenges of this effort includes:
- Faster learning: develop learning algorithms that enable computers to master new skills more effectively from a variety types of training data, e.g. supervised labels, rewards, meta learning, etc.
- Multimodal AI: build multimodal machine learning models to establish cross-modal representations that better recognize and generate high-dimensional multimodal data.
- From Perception to Action: learn better decision-making policies that deliver the optimal control output based on deep understanding of the state space.
My research outcome has a wide range of real-world applications, including conversational agents, autonomous robots, information retrieval and many other AI applications.
|Aug 2, 2021||Our work on multi-modal retrieval is given an Oral talk at ACL 2021.|
|Jun 6, 2021||Our work on fast QA retrieval is given an Oral talk at NAACL 2021.|
|Feb 6, 2021||Om AI Lab is officially established at Binjiang Institute of Zhejiang University.|
|2021 - Today||Research Scientist, Binjiang Institute of Zhejiang University|
|2019 - 2021||Co-founder and Chief Scientist, Soco Inc.|
|2016 - 2019||Ph.D. in Computer Science, Carnegie Mellon University|
|2014 - 2016||M.S. in Computer Science, Carnegie Mellon University|
|2010 - 2014||B.S. in Electrical Engineering, University of California, Los Angeles|
|2021||National Breakthrough Technology Award by Ministry of Science and Technology.|
|2018||Microsoft Research Best & Brightest PhD|
|2018||Best Paper Award at SGIDIAL 2018|
|2016||Best Paper Nomination Award at SGIDIAL 2016|
|2014||Outstanding Bachelor of Science Award, UCLA EE Class of 2014. (Top 1 graduate in the department)|
NAACLSPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching RetrievalIn Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 2021
SIGDIALZero-Shot Dialog Generation with Cross-Domain Latent ActionsIn Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue 2018
ACLLearning Discourse-level Diversity for Neural Dialog Models using Conditional Variational AutoencodersIn Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 2017
SIGDIALTowards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement LearningIn Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue 2016