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Liangming Pan

Ph.D. Student

National University of Singapore

Biography

Liangming Pan (潘亮铭) is a 4th-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). He joined the UC Santa Barbara Natural Language Processing Group as a visiting Ph.D. student from July 2020 to May 2021, supervised by Prof. William Wang.

His broad research interests include knowledge bases, natural language processing, and data mining. To be specific, his research topics include neural question generation, quesiton answering, and text style transfer.

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

Aug 2021 Invited talk "Towards generating human-like deep questions" for Monthly NLP Talks at NTU-NLP. [Slides] [Video]
May 2021 One paper accepted by ACL-IJCNLP 2021: Zero-shot Fact Verification by Claim Generation (short paper). [Codes]
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.

Publications

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Projects

Zero-shot-Fact-Verification Star

Codes for ACL-IJCNLP 2021 Paper “Zero-shot Fact Verification by Claim Generation”.

Unsupervised-Multi-hop-QA Star

Codes for NAACL 2021 Paper “Unsupervised Multi-hop Question Answering by Question Generation”.

SG-Deep Question Generation Star

This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).

Question Generation Paper List Star

A paper list that summarizes the recent papers on neural question generation.

Services

  • Senior Program Committee Member of IJCAI 2021.
  • Program Committee Member of ACL/IJCNLP 2021.
  • Invited Reviewer of TASLP, IEEE Access.