Last updated on Aug 2021.
Wenxiang Jiao (焦文祥)
Department of Computer Science and Engineering
The Chinese University of Hong Kong
Hong Kong SAR, China
🔥 News 🔥
🌶 AVAILABLE: Looking for research interns 🎓! Please drop me your CV if you're interested in machine translation and pre-training.
🌶 2021-11-02: Joined Tencent AI Lab as a Senior Researcher 💻.
🌶 2021-09-15: Our project on "Exploiting Large-Scale Data for NMT" won the Technology Innovation Award (top 10%) of 2020 Tencent AI Lab Rhino Bird Project!
🌶 2021-08-26: Just passed my Ph.D. oral defense. Many thanks to my supervisors and committees!
I am a final (fourth) year Ph.D student at The Chinese University of Hong Kong, advised by Prof. Irwin King and Prof. Michael R. Lyu.
Before that, I received my Bachelor degree and Mphil degree from Nanjing University in 2015 and 2017, respectively.
My research interests are mainly in Natural Language Processing and Deep Learning Techniques, focusing on tasks like representation learning, conversation analysis, and machine translation.
Particularly, I am interested in data analysis and exploitation on NLP tasks for more effective training of the models, thereby improving performance.
Conversation analysis: emotion recognition, pre-training on unlabeled conversations, multimodal learning
Machine translation: inactive examples in bilingual data, uncertain monolingual data for self-training
Oct. 2019 - Dec. 2019
Research Intern: Tencent AI Lab
Mentor: Xing Wang, Zhaopeng Tu
Worked on data analysis and exploitation in neural machine translation.
Published one paper to EMNLP 2020 and ACL 2021, respectively; submitted one paper to TKDE.
Reviewer of the Neurocomputing Journal
Reviewer of ACL 2021
Research talk at AI TIME on Data Rejuvenation
Reviewer of ACL 2020, AAAI 2021
Secondary reviewer of EMNLP 2020, COLING 2020, EACL 2020
Multi-Task Learning for Multilingual Neural Machine Translation (ACL 2020-2021) [slides]
Exploiting Monolingual Data at Scale for Neural Machine Translation (EMNLP 2019) [slides]
A Closer Look at Memorization in Deep Networks (ICML 2017) [slides]
Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks (NeurIPS 2019) [slides]
ENGG 1110: Problem Solving By Programming
CSCI 3100: Software Engineering
CSCI 2720: Building Web Applications
Shatin, NT, Hong Kong
The Chinese University of Hong Kong (CUHK)
Aug. 2017 - Aug. 2021
Doctor of Philosophy Student, Computer Science & Engineering
Advisor: Irwin King (IEEE Fellow), and Michael R. Lyu (IEEE Fellow, ACM Fellow)
Nanjing University (NJU)
Sep. 2015 - Jun. 2017
Mphil of Engineering, Optical Engineering
Advisor: Guanghui Wang
Nanjing University (NJU)
Sep. 2011 - Jun. 2015
Bachelor of Engineering, Information Engineering
CUHK, 2017 - Present
Full Postgraduate Studentship
Outstanding Graduates Award
Bejing Bank Outstanding Scholarship
Ministry of Education of China, 2013
China National Scholarship
Honorable Mentions in American Mathematical Contest in Modeling (MCM)
Honorable Mentions in National College Mathematical Contest in Modeling
Honorable Mentions in National College Optoelectronic Design Competition
Programming Languages: Python, C/C++, Matlab
Deep Learning Frameworks: Pytorch, Tensorflow