Faculty profile
Jian Tang
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a HEC Montréal directory, so their courses may be missing. Find their university profile.
Research
Latest papers
De novo L-(+)-tartaric acid biosynthesis in multi-modular engineered yeasts.
Nature communications · 2026
Engineered Nonheme Iron Enzymes Enable Asymmetric Hydrogenation of Alkenes.
Journal of the American Chemical Society · 2026
DOLPHIN advances single-cell transcriptomics beyond gene level by leveraging exon and junction reads.
Nature communications · 2025
Latest funding
- $275,167
Overcoming Data Scarcity in Natural Language Processing for Industrial Applications through Knowledge Engineering and Reasoning
NSERC · 2023 · Co-investigator
- $135,000
Towards Improved Understanding and Efficient Utilization of Depthwise Computation in Modern Neural Networks
NSERC · 2022 · Co-investigator
- $12,500
Learning Representations of Networks
NSERC · 2018 · Principal investigator
16 publications.
De novo L-(+)-tartaric acid biosynthesis in multi-modular engineered yeasts.
Zhou X, Hou J, Wang Z, Li Z, Li Y, Li X, Xu X, Liu Y, Li J, Du G, Ma D, Tang J, Chen J, Lv X, Liu L
Engineered Nonheme Iron Enzymes Enable Asymmetric Hydrogenation of Alkenes.
He Y, Dai SY, Xu M, Ma B, Tang J, Tao L, Liu Z
DOLPHIN advances single-cell transcriptomics beyond gene level by leveraging exon and junction reads.
Song K, Zheng Y, Zhao B, Eidelman DH, Tang J, Ding J
Artificial intelligence and open science in discovery of disease-modifying medicines for Alzheimer's disease.
Cheng F, Wang F, Tang J, Zhou Y, Fu Z, Zhang P, Haines JL, Leverenz JB, Gan L, Hu J, Rosen-Zvi M, Pieper AA, Cummings J
Machine Learning Informed Diagnosis for Congenital Heart Disease in Large Claims Data Source.
Marelli AJ, Li C, Liu A, Nguyen H, Moroz H, Brophy JM, Guo L, Buckeridge DL, Tang J, Yang AY, Li Y
Publisher Correction: Scientific discovery in the age of artificial intelligence.
Wang H, Fu T, Du Y, Gao W, Huang K, Liu Z, Chandak P, Liu S, Van Katwyk P, Deac A, Anandkumar A, Bergen K, Gomes CP, Ho S, Kohli P, Lasenby J, Leskovec J, Liu TY, Manrai A, Marks D, Ramsundar B, Song L, Sun J, Tang J, Veličković P, Welling M, Zhang L, Coley CW, Bengio Y, Zitnik M
Scientific discovery in the age of artificial intelligence.
Wang H, Fu T, Du Y, Gao W, Huang K, Liu Z, Chandak P, Liu S, Van Katwyk P, Deac A, Anandkumar A, Bergen K, Gomes CP, Ho S, Kohli P, Lasenby J, Leskovec J, Liu TY, Manrai A, Marks D, Ramsundar B, Song L, Sun J, Tang J, Veličković P, Welling M, Zhang L, Coley CW, Bengio Y, Zitnik M
Biomedical discovery through the integrative biomedical knowledge hub (iBKH).
Su C, Hou Y, Zhou M, Rajendran S, Maasch JRMA, Abedi Z, Zhang H, Bai Z, Cuturrufo A, Guo W, Chaudhry FF, Ghahramani G, Tang J, Cheng F, Li Y, Zhang R, DeKosky ST, Bian J, Wang F
Deep generative molecular design reshapes drug discovery.
Zeng X, Wang F, Luo Y, Kang SG, Tang J, Lightstone FC, Fang EF, Cornell W, Nussinov R, Cheng F
Implications of topological imbalance for representation learning on biomedical knowledge graphs.
Bonner S, Kirik U, Engkvist O, Tang J, Barrett IP
Overcoming Data Scarcity in Natural Language Processing for Industrial Applications through Knowledge Engineering and Reasoning
Principal investigators: Nie, Jian-Yun JY
Keywords: conversational agent; information extraction; information retrieval; knowledge extraction; knowledge modeling; natural language processing; question answering; reasoning
Towards Improved Understanding and Efficient Utilization of Depthwise Computation in Modern Neural Networks
Principal investigators: Wolf, Guy G
Keywords: computer vision; deep learning; graph neural networks; representation learning; self attention
Learning Representations of Networks
Principal investigators: Tang, Jian
Learning Representations of Networks
Principal investigators: Tang, Jian
Keywords: machine learning; representation learning; information networks; deep learning; link prediction; network representation; node representation
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Yue Li and Jian Tang: 4 shared papers
- Yue Li and Jun Ding: 3 shared papers
- Jian Tang and Yoshua Bengio: 2 shared papers
- Jun Ding and Jian Tang: 1 shared paper
- Département de sciences de la décision
- School of Computer Science
- Informatique et recherche opérationnelle
- Department of Medicine
Co-authors at HEC Montréal, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.