Jian Tang

Mila > À propos de Mila > Équipe > Jian Tang
Membre Académique Principal
Jian Tang
Professeur adjoint, HEC Montréal
Jian Tang

Je suis actuellement professeur adjoint à HEC Montréal et à Mila. Auparavant, j’étais un chercheur postdoctoral à l’Université du Michigan et à l’Université Carnegie Mellon. J’ai également travaillé chez Microsoft Research Asia en tant que chercheur associé entre 2014 et 2016.

Intérêts de recherche: apprentissage en profondeur, apprentissage par renforcement, apprentissage par représentation graphique, compréhension du langage naturel, systèmes de recommandation et découverte de médicaments

Publications

2020-12

Sobolev Wasserstein GAN.
Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang and Yong Yu
arXiv preprint arXiv:2012.03420
(2020-12-07)
dblp.uni-trier.de

2020-10

RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio and Jian Tang
arXiv preprint arXiv:2010.04029
(2020-10-08)
arxiv.orgPDF

2020-09

RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu, Junkun Chen, Louis-Pascal A. C. Xhonneux, Yoshua Bengio and Jian Tang
ICLR 2020
(2020-09-28)
dblp.uni-trier.dePDF

2020-08

Robustesse structurelle des architectures d'apprentissage profond
Carlos Lassance, Vincent Gripon, Jian Tang and Antonio Ortega
GRETSI
(2020-08-26)
hal.archives-ouvertes.fr

2020-07

GRADE: Graph Dynamic Embedding.
Simeon E. Spasov, Alessandro Di Stefano, Pietro Liò and Jian Tang
arXiv preprint arXiv:2007.08060
(2020-07-16)
dblp.uni-trier.dePDF
Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs
Meng Qu, Tianyu Gao, Louis-Pascal Xhonneux and Jian Tang
ICML 2020
(2020-07-12)
icml.ccPDF
Continuous Graph Neural Networks
Louis-Pascal Xhonneux, Meng Qu and Jian Tang
A Graph to Graphs Framework for Retrosynthesis Prediction
Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang and Jian Tang
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux and Jian Tang
arXiv preprint arXiv:2007.02387
(2020-07-05)
export.arxiv.orgPDF

2020-06

Graph Policy Network for Transferable Active Learning on Graphs
Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu and Jian Tang
arXiv preprint arXiv:2006.13463
(2020-06-24)
ui.adsabs.harvard.eduPDF
Graph Policy Network for Transferable Active Learning on Graphs
Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu and Jian Tang
NEURIPS 2020
(2020-06-01)
papers.nips.cc

2020-05

Deep Geometric Knowledge Distillation with Graphs
Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang and Antonio Ortega

2020-04

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun, Jordan Hoffman, Vikas Verma and Jian Tang
ICLR 2020
(2020-04-30)
iclr.cc
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang and Jian Tang
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices.
Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren and Yanzhi Wang

2019-12

Probabilistic Logic Neural Networks for Reasoning
Meng Qu and Jian Tang
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang and Jian Tang

2019-11

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li and Jian Tang
arXiv preprint arXiv:1911.06136
(2019-11-13)
dblp.uni-trier.dePDF
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang and Jian Tang
CIKM 2019
(2019-11-03)
dblp.uni-trier.dePDF
GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications
Huawei Shen, Jian Tang and Peng Bao
CIKM 2019
(2019-11-03)
dblp.uni-trier.de
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang and Jian Tang
CIKM 2019
(2019-11-03)
dblp.uni-trier.dePDF

2019-09

Empowering Graph Representation Learning with Paired Training and Graph Co-Attention
Andreea Deac, Yu-Hsiang Huang, Petar Velickovic, Pietro Lio and Jian Tang
(venue unknown)
(2019-09-25)
openreview.netPDF
Transfer Active Learning For Graph Neural Networks
Shengding Hu, Meng Qu, Zhiyuan Liu and Jian Tang
(venue unknown)
(2019-09-25)
openreview.netPDF
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning
Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala and Jian Tang
arXiv preprint arXiv:1909.11715
(2019-09-25)
ui.adsabs.harvard.eduPDF
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Jean Michel D. Sellier and Yoshua Bengio
arXiv preprint arXiv:1909.00949
(2019-09-25)
ui.adsabs.harvard.eduPDF

2019-08

An end-to-end neighborhood-based interaction model for knowledge-enhanced recommendation
Yanru Qu, Ting Bai, Weinan Zhang, Jianyun Nie and Jian Tang
Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data
(2019-08-05)
ui.adsabs.harvard.edu[LATEST on arXiv preprint arXiv:1908.04032 (2019-08-12)]
Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks.
Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui and Zhiyuan Liu
IJCAI 2019
(2019-08-01)
www.ijcai.org

2019-07

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun, Jordan Hoffmann, Vikas Verma and Jian Tang
arXiv preprint arXiv:1908.01000
(2019-07-31)
arxiv.orgPDF
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng and Jian-Yun Nie
SIGIR 2019
(2019-07-18)
doi.org
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng and Jian-Yun Nie
SIGIR 2019
(2019-07-18)
sigir.orgPDF
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning
arXiv preprint arXiv:1907.03179
(2019-07-06)
dblp.uni-trier.dePDF

2019-06

Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning
Weiping Song, Zhijian Duan, Ziqing Yang, Hao Zhu, Ming Zhang and Jian Tang
arXiv preprint arXiv:1906.09506
(2019-06-22)
ui.adsabs.harvard.eduPDF
Learning Powerful Policies by Using Consistent Dynamics Model.
Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio, Sergey Levine and Jian Tang
arXiv preprint arXiv:1906.04355
(2019-06-11)
dblp.uni-trier.dePDF
Attending Over Triads for Learning Signed Network Embedding.
Shagun Sodhani, Meng Qu and Jian Tang
Frontiers in Big Data
(2019-06-06)
europepmc.org
Structural Robustness for Deep Learning Architectures
Carlos Lassance, Vincent Gripon, Jian Tang and Antonio Ortega
2019 IEEE Data Science Workshop (DSW)
(2019-06-02)
ieeexplore.ieee.org
Introducing Graph Smoothness Loss for Training Deep Learning Architectures
Myriam Bontonou, Carlos Lassance, Ghouthi Boukli Hacene, Vincent Gripon and Jian Tang
2019 IEEE Data Science Workshop (DSW)
(2019-06-02)
hal.archives-ouvertes.frPDF
Structural Robustness for Deep Learning Architectures
Carlos Lassance, Vincent Gripon, Jian Tang and Antonio Ortega
2019 IEEE Data Science Workshop (DSW)
(2019-06-02)
ieeexplore.ieee.orgPDF

2019-05

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu, Shizhen Xu, Jian Tang and Meng Qu
WWW 2019
(2019-05-13)
hgpu.org
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu, Shizhen Xu, Jian Tang and Meng Qu
WWW 2019
(2019-05-13)
hgpu.orgPDF
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie and Jian Tang
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
Andreea Deac, Yu-Hsiang Huang, Petar Veličković, Pietro Liò and Jian Tang
arXiv preprint arXiv:1905.00534
(2019-05-02)
ui.adsabs.harvard.eduPDF
Introducing Graph Smoothness Loss for Training Deep Learning Architectures
Myriam Bontonou, Carlos Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang and Antonio Ortega
arXiv preprint arXiv:1905.00301
(2019-05-01)
arxiv.orgPDF

2019-03

Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction.
Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang and Ming Zhang

2018-09

Learning powerful policies and better dynamics models by encouraging consistency
Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio and Jian Tang
(venue unknown)
(2018-09-27)
openreview.netPDF
Data Poisoning Attack against Unsupervised Node Embedding Methods
Mingjie Sun, Jian Tang, Huichen Li, Bo Li, Chaowei Xiao, Yao Chen and Dawn Song
arXiv preprint arXiv:1810.12881
(2018-09-27)
ui.adsabs.harvard.eduPDF

Publications collected and formatted using Paperoni

array(1) { ["wp-wpml_current_language"]=> string(2) "fr" }