Kuan-Hao Huang
I am a fourth-year Ph.D. student in Computer Science at University of California Los Angeles, advised by Prof. Kai-Wei Chang. I am also working closely with Prof. Prof. Nanyun Peng. Prior to joining UCLA, I received my M.S. and B.S. from National Taiwan University, where I worked with Prof. Hsuan-Tien Lin. My current research mainly focuses on natural language processing, especially syntax-invariant text representations, cross-lingual transfer, and robustness of NLP models. Please see my CV for more information.
News
- [2021/08] One paper about zero-shot cross-lingual transfer is accepted by EMNLP 2021
- [2021/06] I start my applied scientist internhip at Amazon AWS AI
- [2021/03] Our paper Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models is accepted by NAACL 2021
- [2021/01] Our paper Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs is accepted by EACL 2021
Experience
- PhD, Computer Science, University of California Los Angeles, 2018-Present
- Applied Scientist Intern, Amazon AWS AI, Summer 2021
- Research Intern, Tencent AI Lab, Summer 2019
- MS, Computer Science and Information Engineering, National Taiwan University, 2014-2016
- BS, Computer Science and Information Engineering, National Taiwan University, 2010-2014
Publications
(* denotes equal contribution)Talks
-
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
- Presidential Award, National Taiwan University, 2011
Professional Services
- Program Committee/Reviewer: ACL 2021, EMNLP 2021, ICML 2020/2021, NeurIPS 2021, 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