Avatar

Liangming Pan

Ph.D. Student

National University of Singapore

Biography

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.

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

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

Quickly discover relevant content by filtering publications.
Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng . Exploring Question-Specific Rewards for Generating Deep Questions. COLING, 2020.

PDF Code COLING, 2020

Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Zhiyuan Liu, Tat-Seng Chua . Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. EMNLP, 2020.

PDF Code EMNLP, 2020

Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua . Multi-modal Cooking Workflow Construction for Food Recipes. ACM MM, 2020. (Oral)

PDF ACM MM, 2020

Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan . Semantic Graphs for Generating Deep Questions. ACL, 2020.

PDF Code ACL, 2020

Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua . Expertise Style Transfer: A New Task Towards Better Communcation between Experts and Laymen. ACL, 2020.

PDF Dataset ACL, 2020

Shaoteng Liu, Jingjing Chen, Liangming Pan, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang . Hyperbolic Visual Embedding Learning for Zero-Shot Recognition. CVPR, 2020.

PDF Code CVPR, 2020

Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua . Zero-shot Ingredient Recognition by Multi-Relational Graph Convolutional Network. AAAI, 2020.

PDF AAAI, 2020

Liangming Pan, Wenqiang Lei, Tat-Seng Chua, Min-Yan Kan . Recent Advances in Neural Question Generation. arXiv preprint, 2019.

PDF Project

Yahui An, Liangming Pan, Min-Yen Kan, Qiang Dong, Yan Fu . Resource Mention Extraction for MOOC Discussion Forums. IEEE Access 7 (2019): 87887-87900, 2019.

PDF

Jifan Yu, Liangming Pan, Juanzi Li, Xiaoping Du . Predicting Concept-based Research Trends with Rhetorical Framing. CCKS, 2018.

PDF

See all publications

Featured Research

Exploring Question-Specific Rewards for Generating Deep Questions

Recent question generation (QG) approaches often utilize the sequence-to-sequence framework (Seq2Seq) to optimize the log-likelihood of …
PDF Code COLING, 2020

Multi-modal Cooking Workflow Construction for Food Recipes

Understanding food recipe requires anticipating the implicit causal effects of cooking actions, such that the recipe can be converted …
PDF ACM MM, 2020

Semantic Graphs for Generating Deep Questions

This paper proposes the problem of Deep Question Generation (DQG), which aims to generate complex questions that require reasoning over …
PDF Code ACL, 2020

Expertise Style Transfer: A New Task Towards Better Communcation between Experts and Laymen

The curse of knowledge can impede communication between experts and laymen. We propose a new task of expertise style transfer and …
PDF Dataset ACL, 2020

Hyperbolic Visual Embedding Learning for Zero-Shot Recognition

This paper proposes a Hyperbolic Visual Embedding Learning Network for zero-shot recognition. The network learns image embeddings in …
PDF Code CVPR, 2020

Zero-shot Ingredient Recognition by Multi-Relational Graph Convolutional Network

Recognizing ingredients for a given dish image is at the core of automatic dietary assessment, attracting increasing attention from …
PDF AAAI, 2020

Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation

Massive Open Online Courses (MOOCs), offering a new way to study online, are revolutionizing education. One challenging issue in MOOCs …
PDF Code Dataset Slides IJCNLP, 2017

Prerequisite Relation Learning for Concepts in MOOCs

What prerequisite knowledge should students achieve a level of mastery before moving forward to learn subsequent coursewares? We study …
PDF Code Slides ACL, 2017

Projects

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.