Meng Qu   瞿锰

I am a first-year PhD student at Montreal Institute for Learning Algorithms (Mila) supervised by Prof. Jian Tang. Before coming to Mila, I received my master's degree from University of Illinois at Urbana-Champaign, where I was supervised by Prof. Jiawei Han. In addition, I received my bachelor's degree from Peking University, and my advisor was Prof. Ming Zhang.

Email: meng.qu at  /  mengqu25 at

Google Scholar


My research interests are in machine learning, Bayesian deep learning, data mining and natural language processing.

Probabilistic Logic Neural Networks for Reasoning
Meng Qu, Jian Tang
NeurIPS 2019
code coming soon
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang
NeurIPS 2019
code coming soon
Collaborative Policy Learning for Open Knowledge Graph Reasoning
Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren
EMNLP 2019
GMNN: Graph Markov Neural Networks
Meng Qu, Yoshua Bengio, Jian Tang
ICML 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang
WWW 2019
project page
Learning Dual Retrieval Module for Semi-supervised Relation Extraction
Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren
WWW 2019
Attending over Triads for Learning Signed Network Embedding
Shagun Sodhani, Meng Qu, Jian Tang
Frontiers in Big Data 2019
TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction
Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy P Hanratty, Jing Gao, Jiawei Han
KDD 2018
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning
Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han
WWW 2018
Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning
Meng Qu, Jian Tang, Jiawei Han
WSDM 2018
An Attention-based Collaboration Framework for Multi-View Network Representation Learning
Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han
CIKM 2017
Automatic Synonym Discovery with Knowledge Bases
Meng Qu, Xiang Ren, Jiawei Han
KDD 2017
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R Voss, Heng Ji, Tarek F Abdelzaher, Jiawei Han
WWW 2017
PROSNET: Integrating Homology with Molecular Networks for Protein Function Prediction
Sheng Wang, Meng Qu, Jian Peng
PSB 2017
Life-iNet: A Structured Network-based Knowledge Exploration and Analytics System for Life Sciences
Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard Weinshilboum, Jiawei Han
ACL 2017 (Demo)
Meta-path Guided Embedding for Similarity Search in Large-scale Heterogeneous Information Networks
Jingbo Shang, Meng Qu, Jialu Liu, Lance M Kaplan, Jiawei Han, Jian Peng
arXiv 2016
Label Noise Reduction in Entity Typing by Heterogeneous Partial-label Embedding
Xiang Ren, Wenqi He, Meng Qu, Clare R Voss, Heng Ji, Jiawei Han
KDD 2016
Afet: Automatic Fine-grained Entity Typing by Hierarchical Partial-label Embedding
Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han
EMNLP 2016
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks
Jian Tang, Meng Qu, Qiaozhu Mei
KDD 2015
LINE: Large-scale Information Network Embedding
Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei
WWW 2015
Most Cited Paper in WWW 2015

PC member of EMNLP 2019, AAAI 2020.


Honorable mention of the research excellence award, Data Mining Group at UIUC, 2017.

Travel award, KDD 2017.

The template of the page is from Jon Barron.