Teaching

• CS190I Deep Learning (undergrad, Winter 2023)
• CS291K Machine Learning (graduate, Fall 2022)
  
• CS165B Machine Learning (undergrad, Winter 2022) - focus on deep learning
• CS291K Deep Learning for Machine Translation (graduate, Fall 2021)

Tutorial

• ACL2021 Tutorial: Pre-training methods for Neural Machine Translation
• EMNLP 2019 Tutorial on Discreteness in NLP.
• CCF-ADL107/NLPCC 2019 Tutorial on Deep Generative Models for Text Generation. Dunhuang, China, 2019. by Hao Zhou and Lei Li.
• CCF-ADL/NLPCC 2016 Tutorial on Deep Learning for Question Answering. Kunming, China, December 2020. [Slides]
• 2014 PPAML Summer School Tutorial: Probabilistic Modeling using Bayesian Logic (BLOG) .
• KDD 2010 Tutorial on Time Series

Talks and Lecture

• IEEE Central Coast Talk: Breaking Language Barriers with Neural Machine Translation. 2022.8.17
• CCMT 2021 Keynote: Efficient Machine Translation. [Slides]
• GAITC 2021 NLP Forum Invited Talk: Speech Translation from Research to Product Innovation. [Slides]
• GTC Talk 2020: Recent Advances in Machine Writing and Translation – Algorithms and Challenges. [Slides]
• NeurIPS 2020 Beijing Meetups: Scalable, Controllable, and Interpretable Machine Learning for Natural Language Generation. 2020.12.06 (30 mins).
• Constrained Text Generation - Monte Carlo Meets Neural Nets. Tsinghua University. IIIS. 2020.10.8 (1hr)
• Scalable, Controllable and Interpretable Machine Learning for Natural Language Generation. Tsinghua University, Guest Lectures at IIIS Undergrad class 2020.10.8. (1.5 hrs)
• ICLR 2020 Talk on Learning Deep Latent Models for Text Sequences. [Video] [Slides]
• BLOG language and compiled inference. Computer Science department, Stanford University, Tsinghua University, 2015.
  
• 2015 Invited Keynote at China Computer Federation Young Computer Scientists and Engineers Forum: Deep Learning – Towards More Intelligent Machines.
  
• 2013 TAMU Fish Bowl Seminar
• Parsimonious Linear Fingerprinting for time series, Machine learning lunch seminar, CMU, Nov, 2010. [ PPT ]
  
• Fast Algorithms for Mining Co-evolving Time Series. SMU, NUS, SJTU, Dec 2009. [ PPT ]
• Fast Algorithms for Mining and Summarizing Co-evolving Sequences, HKUST. 2009.[ Poster ]
• Machine Learning Lunch seminar, CMU, Oct 6, 2008. [ PPT ]