Tutorial

ACL/NeurIPS/ADL 2024 Tutorials: Watermarking for Large Language Models.
NAACL 2024 Tutorial: Combating Security and Privacy Issues in the Era of Large Language Models
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

Talk on Accelerating Drug Design with Generative AI November, 2025.
ACDL 2025 Talks, June 18, 2025.
- The Science of Evaluation for Large Language Models
- Scalable Post-Training Optimization for Large Language Models
- Scaling Strategic Reasoning for Large Language Models
- Real-time Simultaneous Translation of Unbounded Streaming Speech
Princeton University AI2 Distinguished Talk: Generative AI for Functional Protein Design, March 5, 2025.
University of Massachusetts Boston Invited Talk: Towards Scaling Large Language Models to 1000 Languages - Challenges and Advances. Nov 4, 2024.
Invited talk at MIT FutureTech Workshop on the Role of AI in Science: Watermarking and Detecting AI Generation. Nov 3, 2024.
Univ. of Pittsburgh ISP Seminar: The Science of Evaluation and Alignment for Large Language Models. Oct 25, 2024. also delivered at Northeastern University. Nov 4, 2024.
CMU LTI Colloquium: From Words to Molecules - Harnessing Generative AI for Breakthroughs in Language and Molecular Design. Sep 13, 2024.
ACL 2024 Language+Molecule workshop: A Tale of Two Realms: Commonalities and Distinctions of Generating Language and Molecules. Aug 15, 2024.
Michigan State University Guest Lecture: Assessing and Improving Large Language Models. 2024.4.1.
CMU CyLab Seminar: Is it generated by AI? Attacks and Robust Watermarking for Generative AI. 2024.1.22 (a prior version was given at JHU CSLP Seminar in 2023.9 and NTU in 2023.12)
Ohio State University TDAI's Foundations of Data Science and AI Speaker: Self-assisting and Cooperative Large Language Models. 2024.1.12 (also given at NUS in 2023.12)
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 ]