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teaching.html
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teaching.html
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
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<meta name="description" content="Lei Li">
<meta name="keywords" content="machine learning deep learning
natural language processing machine translation probabilistic
programming">
<meta name="author" content="Lei Li">
<link href="style/style.min.css" rel="stylesheet" type="text/css">
<title>Lei LI's Courses and Talks</title>
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<div class="banner-title"> <span class="h1"> Teaching </span>
</div>
</div>
</header>
<section class="section">
<div class="wrap">
<ul>
<li><a moz-do-not-send="true"
href="https://llmsystem.github.io/llmsystem2024spring/">CMU
11868 Large Language Model Systems (graduate, Spring
2024)</a><br>
</li>
<li><a href="course/11737mnlp23fa/">CMU 11737 Multilingual
NLP (graduate, Fall 2023)</a></li>
<li><a href="course/dl23w/">UCSB CS190I Deep Learning
(undergrad, Winter 2023)</a></li>
<li><a href="course/ml22fa/index.html">UCSB CS291K Machine
Learning (graduate, Fall 2022)<br>
</a></li>
<li><a href="course/mldl22w/index.html">UCSB CS165B
Machine Learning (undergrad, Winter 2022) - focus on
deep learning</a> </li>
<li><a href="course/dl4mt21fa/index.html">UCSB CS291K Deep
Learning for Machine Translation (graduate, Fall 2021)</a>
</li>
</ul>
</div>
</section>
<section class="highlight-section section">
<div class="wrap">
<div class="highlight-heading">
<h1>Tutorial</h1>
</div>
<ul>
<li><a
href="https://sites.cs.ucsb.edu/%7Elilei/TALKS/2021-ACL/">ACL2021
Tutorial: Pre-training methods for Neural Machine
Translation</a></li>
<li><a href="TALKS/2019-EMNLP">EMNLP 2019 Tutorial on
Discreteness in NLP</a>. </li>
<li> <a href="https://xxx">CCF-ADL107/NLPCC 2019 Tutorial
on Deep Generative Models for Text Generation</a>.
Dunhuang, China, 2019. by Hao Zhou and Lei Li.</li>
<li>CCF-ADL/NLPCC 2016 Tutorial on Deep Learning for
Question Answering. Kunming, China, December 2020. [<a
href="TALKS/deep_learning_for_answering_questions_leili_nlpcc_adl2016.pdf">Slides</a>]</li>
<li>2014 PPAML Summer School Tutorial: <a
href="http://bayesianlogic.github.io/download/BLOG-tutorial-2014.pdf">Probabilistic
Modeling using Bayesian Logic (BLOG) </a> . </li>
<li> <a href="TALKS/2010-KDD/">KDD 2010 Tutorial on Time
Series</a></li>
</ul>
</div>
</section>
<section class="highlight-section section">
<div class="wrap">
<div class="highlight-heading">
<h1>Talks</h1>
</div>
<ul>
<li>Michigan State University Guest Lecture: <a
moz-do-not-send="true"
href="TALKS/LLM_assessment_improving_2024.4.pdf">Assessing
and Improving Large Language Models</a>. 2024.4.1.<br>
</li>
<li>CMU CyLab Seminar: <a moz-do-not-send="true"
href="TALKS/LLM_watermark_leili_2024.01.pdf">Is it
generated by AI? Attacks and Robust Watermarking for
Generative AI. </a>2024.1.22 (a prior version was
given at JHU CSLP Seminar in 2023.9 and NTU in 2023.12)<br>
</li>
<li>Ohio State University TDAI's Foundations of Data
Science and AI Speaker: <a moz-do-not-send="true"
href="TALKS/Cooperative_LLM_leili_2024.1.pdf">Self-assisting
and Cooperative Large Language Models. </a>2024.1.12
(also given at NUS in 2023.12)<br>
</li>
<li>IEEE Central Coast Talk: <a
href="TALKS/MTIntro2022-leili.pdf"> Breaking Language
Barriers with Neural Machine Translation.</a>
2022.8.17 </li>
<li>CCMT 2021 Keynote: Efficient Machine Translation. [<a
href="TALKS/EfficientMT-CCMT2021-leili.pdf">Slides</a>]
</li>
<li>GAITC 2021 NLP Forum Invited Talk: Speech Translation
from Research to Product Innovation. [<a
href="TALKS/speech_translation_gaitc_leili_2021.6.6.pdf">Slides</a>]
</li>
<li>GTC Talk 2020: Recent Advances in Machine Writing and
Translation – Algorithms and Challenges. [<a
href="TALKS/recent_advances_in_text_generation_and_machine_translation_gtc_china_leili_2020.12.19.pdf">Slides</a>]
</li>
<li>NeurIPS 2020 Beijing Meetups: <a
href="TALKS/interpretable_machine_learning_for_NLG_neurips_meetup_2020.12.06.pdf">Scalable,
Controllable, and Interpretable Machine Learning for
Natural Language Generation</a>. 2020.12.06 (30 mins).</li>
<li><a
href="TALKS/constrained_text_generation_monte_carlo_meets_neural_nets_2020.10.8.pdf">Constrained
Text Generation - Monte Carlo Meets Neural Nets</a>.
Tsinghua University. IIIS. 2020.10.8 (1hr)</li>
<li><a
href="TALKS/interpretable_machine_learning_for_nlg_tsinghua_2020.10.8.pdf">Scalable,
Controllable and Interpretable Machine Learning for
Natural Language Generation.</a> Tsinghua University,
Guest Lectures at IIIS Undergrad class 2020.10.8. (1.5
hrs) </li>
<li>ICLR 2020 Talk on Learning Deep Latent Models for Text
Sequences. [<a
href="https://iclr.cc/virtual_2020/expo_2.html">Video</a>]
[<a
href="TALKS/learning_deep_latent_models_for_text_sequences_iclr2020.pdf">Slides</a>]
</li>
<li>BLOG language and compiled inference. Computer Science
department, Stanford University, Tsinghua University,
2015.<br>
</li>
<li>2015 Invited Keynote at China Computer Federation
Young Computer Scientists and Engineers Forum: Deep
Learning – Towards More Intelligent Machines.<br>
</li>
<li> 2013 TAMU <a
href="http://cesg.tamu.edu/seminar/fishbowl-teleseminar-fast-algorithms-for-mining-co-evolving-time-series/">Fish
Bowl Seminar</a> </li>
<li> Parsimonious Linear Fingerprinting for time series,
Machine learning lunch seminar, CMU, Nov, 2010. [ <a
href="TALKS/plif-mltalk2010.pdf">PPT</a> ] <br>
</li>
<li> Fast Algorithms for Mining Co-evolving Time Series.
SMU, NUS, SJTU, Dec 2009. [ <a
href="TALKS/leili-talk09-SMU.pdf">PPT</a> ] </li>
<li> Fast Algorithms for Mining and Summarizing
Co-evolving Sequences, HKUST. 2009.[ <a
href="http://www.cse.ust.hk/pg/seminars/F09/li.html">Poster</a>
] </li>
<li> Machine Learning Lunch seminar, CMU, Oct 6, 2008. [ <a
href="docs/li-mllunch08.pdf">PPT</a> ] </li>
</ul>
</div>
</section>
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