Liangming Pan

Ph.D. Student

National University of Singapore


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

His board research interests include knowledge base, 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.


  • Text Generation
  • Knowledge Graph
  • Multi-media Learning


  • PhD in Computer Science, 2018

    National University of Singapore

  • MEng in Computer Science, 2014

    Tsinghua University

  • BSc in Software Engineering, 2010

    Beihang University


One paper accepted by COLING 2020!

Our paper “Exploring Question-Specific Rewards for Generating Deep Questions” was accepted by COLING 2020 (long paper, acceptance rate: 32.9%). The code is available at https://github.com/YuxiXie/RL-for-Question-Generation

One paper accepted by EMNLP 2020!

Our paper “Exploring and Evaluating Attributes, Values, and Structure for Entity Alignment” was accepted by EMNLP 2020 (long paper, acceptance rate: 22.4%).

Research Achievement Reward

I am glad to receive the Research Achievement Reward of 2019/2020 Semester 1 from the School of Computing, National University of Singapore.

Invited talk at Fudan University

I was invited to give a talk at the Department of Computer Science, Fudan University with the topic “Question Generation with Deep Reasoning”.

One paper accepted by ACM MM 2020!

Our paper “Multi-modal Cooking Workflow Construction for Food Recipes” was accepted by ACM MM 2020 (acceptance rate: 27.8%) as oral presentation.

Joining the UC Santa Barbara NLP Group!

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.

Paper list on neural question generation on Github.

We created a paper list on Github to summarize the recent research on neural question generation. [Github link]

One paper accepted by AAAI 2020!

Our paper “Zero-shot Ingredient Recognition by Multi-Relational Graph Convolutional Network” was accepted by AAAI 2020 (acceptance rate: 20.6%). [paper link]

Survey paper on neural question generation

We have written a survey paper on recent advances in neural question generation, and posted it on ArXiv. [paper link]


Quickly discover relevant content by filtering publications.


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.