Liangming Pan

Ph.D. Student

National University of Singapore

Biography

Liangming Pan (潘亮铭) is a final-year Computer Science Ph.D. student at the National University of Singapore, jointly advised by Prof. Min-Yen Kan and Prof. Tat-Seng Chua. Before joining NUS, he received Master’s degree from the School of Computer Science at Tsinghua University in June 2017, working with Prof. Juanzi Li and Prof. Jie Tang. He obtained his Bachelor’s degree from Beihang University (2010 - 2014).

His broad research interests include knowledge bases, natural language processing, and data mining. To be specific, his research topics include neural question generation, text style transfer, and zero/few-shot image recognition.

He is now joining the UC Santa Barbara Natural Language Processing Group as a visiting Ph.D. student, supervised by Prof. William Wang.

Interests

Text Generation
Knowledge Graph
Multi-media Learning

Education

PhD in Computer Science, 2018

National University of Singapore
MEng in Computer Science, 2014

Tsinghua University
BSc in Software Engineering, 2010

Beihang University

News

Mar 2021	One paper accepted by NAACL 2021: Unsupervised Multi-hop Question Answering by Question Generation (long paper). [Codes]
Feb 2021	An invited talk "Towards generating human-like deep questions" at School of Computing, National University of Singapore.
Jan 2021	I received the Dean's Graduate Research Excellence Award of 2019/2020 Semester 2 from the School of Computing, National University of Singapore.
Nov 2020	I will serve as a Senior Program Committee (SPC) Member for IJCAI 2021
Oct 2020	One paper accepted by COLING 2020: Exploring Question-Specific Rewards for Generating Deep Questions (long paper, acceptance rate: 32.9%). [Codes]
Sep 2020	One paper accepted by EMNLP 2020: Exploring and Evaluating Attributes, Values, and Structure for Entity Alignment (long paper, acceptance rate: 22.4%).
Sep 2020	I received the Research Achievement Reward of 2019/2020 Semester 1 from the School of Computing, National University of Singapore.
Aug 2020	I was invited to give a talk at the Department of Computer Science, Fudan University with the topic "Question Generation with Deep Reasoning"
Jul 2020	One paper accepted by ACM MM 2020: Multi-modal Cooking Workflow Construction for Food Recipes (oral presentation, acceptance rate: 27.8%).
Jul 2020	From August 2020 to July 2021, I am joining the UC Santa Barbara Natural Language Processing Group as a visiting Ph.D. student, supervised by Prof. William Wang.
Apr 2020	Two papers accepted by ACL 2020: Semantic Graphs for Generating Deep Questions, and Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymenwas (acceptance rate: 25.2%).
Feb 2020	Our paper accepted by CVPR 2020: Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (acceptance rate: 22%).
Dec 2019	A paper list on Github to summarize the recent research on neural question generation.
Nov 2019	Our paper accepted by AAAI 2020: Zero-shot Ingredient Recognition by Multi-Relational Graph Convolutional Network (acceptance rate: 20.6%).
May 2019	A survey paper on Recent Advances in Neural Question Generation.