Kuan-Hao Huang
I am a fourth-year Ph.D. student in Computer Science at University of California Los Angeles, advised by Kai-Wei Chang. I am also working closely with Nanyun Peng. Before joining UCLA, I received my M.S. and B.S. from National Taiwan University, where I worked with Hsuan-Tien Lin. My research focuses on natural language processing and machine learning. I am particularly interested in monolingual/multilingual text representations, cross-lingual transfer learning, low-resource information extraction, and prompt-based learning. Please see my CV for more information.
News
- [2022/06] I start my research internhip at Meta AI
- [2022/06] I am going to attend NAACL 2022, see you all in Seattle!
- [2022/04] Our paper about generation-based event extraction for the low-resource setting accepted by NAACL 2022
- [2022/03] I start my applied scientist internhip at Amazon Alexa AI
- [2022/02] Our paper about zero-shot cross-lingual event argument extraction is accepted by ACL 2022
Experience
- Research Intern, Meta AI, Summer 2022-Present
- Ph.D. in Computer Science, University of California Los Angeles, 2018-Present
- Applied Scientist Intern, Amazon Alexa AI, Spring 2022
- Applied Scientist Intern, Amazon AWS AI, Summer 2021
- Research Intern, Tencent AI Lab, Summer 2019
- M.S. in Computer Science and Information Engineering, National Taiwan University, 2014-2016
- B.S. in Computer Science and Information Engineering, National Taiwan University, 2010-2014
Publications
(* denotes equal contribution)Talks
-
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction
ACL, Dublin, Ireland, May 2022 -
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
EMNLP, Virtual, November 2021 -
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs
EACL, Virtual, April 2021 -
Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization
AACL, Virtual, December 2020 -
Cost-Sensitive Label Embedding for Multi-Label Classification
ECML PKDD, Skopje, Macedonia, September 2017 -
A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning
ICDM, Barcelona, Spain, December 2016 -
Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards
PAKDD, Auckland, New Zealand, April 2016
Awards
- Thesis Honorable Mention Award, Taiwanese Association for Artificial Intelligence, 2016
- Fourth Place, KDD Cup 2015, 2015
- Second Place, ICASSP Signal Processing Cup, 2014
- First Place, Track 1 of KDD Cup 2013, 2013
- First Place, Track 2 of KDD Cup 2013, 2013
Professional Services
- Program Committee/Reviewer: ACL Rolling Review 2021/2022, ACL 2021/2022, EMNLP 2021, NAACL 2022, ICML 2020/2021/2022, NeurIPS 2021/2022, ICLR 2021/2022, AAAI 2022
- Student Volunteer: ACL 2020, EMNLP 2021
- Handbook Assistant: EMNLP 2018
Teaching
- Teaching Assistant, Introduction to Machine Learning, UCLA, Fall 2020
- Teaching Assistant, Web Applications, UCLA, Spring 2020
- Teaching Assistant, Fairness, Accountability, and Transparency in NLP, UCLA, Winter 2020
- Teaching Assistant, Machine Learning, NTU, Fall 2013, Fall 2014, Fall 2015
- Teaching Assistant, Data Structures and Algorithms, NTU, Spring 2013, Spring 2015