Kuan-Hao Huang
I am a third-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 and machine learning, especially controlled language generation 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
- 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