Tiancheng (Tony) Zhao

Binjiang Institute of Zhejiang University. Research Scientist & Director of Om AI Lab.

profile.jpg

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. My PhD dissertation Learning to Converse With Latent Actions is one of the early work in end-to-end generative model for conversational AI, advised by Prof. Maxine Eskenazi , Prof. Louis-Philippe Morency , Prof. William W. Cohen and Dr. Dilek Hakkani-Tur . 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:

  • Efficient Learning: develop learning algorithms that enable computers to master new skills more effectively (few-shot/zero-shot) from a variety types of training data, e.g. supervised labels, rewards, meta learning, etc.
  • Multimodal Learning: build multimodal machine learning models to establish cross-modal representations that better recognize or 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.

news

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.

experience

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

awards

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)

selected publications

  1. NAACL
    SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval
    Zhao, Tiancheng, Lu, Xiaopeng, and Lee, Kyusong
    In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 2021
  2. SIGDIAL
    Zero-Shot Dialog Generation with Cross-Domain Latent Actions
    Zhao, Tiancheng, and Eskenazi, Maxine
    In Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue 2018
  3. ACL
    Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
    Zhao, Tiancheng, Zhao, Ran, and Eskenazi, Maxine
    In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 2017
  4. SIGDIAL
    Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning
    Zhao, Tiancheng, and Eskenazi, Maxine
    In Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue 2016