Faculty profile
Hui Jiang
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Research
Latest papers
Hypoxia shapes both therapeutic response and resistance in metastatic clear cell renal cell carcinoma.
Cancer cell · 2026
Single-cell mtDNA dynamics in tumors is driven by coregulation of nuclear and mitochondrial genomes.
Nature genetics · 2024
Gene network modular-based classification of microarray samples.
BMC bioinformatics · 2012 · senior author
Latest funding
- $384,000
Exploring New Neural Computing Models for Natural Language Understanding
NSERC · 2018 · Principal investigator
- $120,000
Exploring New Neural Computing Models for Natural Language Understanding
NSERC · 2018 · Principal investigator
- $25,000
Investigate deep learning methods for large-scale financial event modelling
NSERC · 2014 · Principal investigator
4 publications.
Hypoxia shapes both therapeutic response and resistance in metastatic clear cell renal cell carcinoma.
Vuong L, Cornish AE, Pfeil J, Khandwala Y, Jiang H, Zheng DXT, Mascareno EA, Rittenhouse N, Rappold PM, Leibold J, Sabio EA, Weiss K, Gonzalez C, Ji L, Zhang J, Adlesic M, Akin O, Flynn J, Krishna C, Lopez Sanmiguel A, Sager RA, Tan TJ, Sanchez A, Di Natale RG, Blum KA, Russo P, Coleman JA, Frew IJ, Chowell D, Chen YB, Solit DB, Ostrovnaya I, Motzer RJ, Voss MH, Kotecha RR, Chan TA, Jackson HW, Kuo F, Li MO, Hakimi AA
Single-cell mtDNA dynamics in tumors is driven by coregulation of nuclear and mitochondrial genomes.
Kim M, Gorelick AN, Vàzquez-García I, Williams MJ, Salehi S, Shi H, Weiner AC, Ceglia N, Funnell T, Park T, Boscenco S, O'Flanagan CH, Jiang H, Grewal D, Tang C, Rusk N, Gammage PA, McPherson A, Aparicio S, Shah SP, Reznik E
Gene network modular-based classification of microarray samples.
Hu P, Bull SB, Jiang H
Predicting protein functions by relaxation labelling protein interaction network.
Hu P, Jiang H, Emili A
Exploring New Neural Computing Models for Natural Language Understanding
Principal investigators: Jiang, Hui
Keywords: Causal Inference; Common-Sense Reasoning; Deep Learning; Dialogue Systems; Factoid Question Answering; Hybrid Connectionist-Symbolic Model; Information Extraction; Natural Language Processing; Neural Networks; Unsupervised Learning
Exploring New Neural Computing Models for Natural Language Understanding
Principal investigators: Jiang, Hui
Investigate deep learning methods for large-scale financial event modelling
Principal investigators: Jiang, Hui
Large-Scale Discriminative Modelling for Data-Intensive Speech and Language Processing
Principal investigators: Jiang, Hui
Margin-based discriminative learning of hidden Markov models for speech recognition
Principal investigators: Jiang, Hui
Voice interface for wireless personal hand-held devices
Principal investigators: Jiang, Hui
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
- Andrew Emili and Pingzhao Hu: 5 shared papers
- Pingzhao Hu and Hui Jiang: 2 shared papers
- Andrew Emili and Hui Jiang: 1 shared paper
- Department of Electrical Engineering and Computer Science
- Biostatistics Division
- Banting and Best Department of Medical Research
Co-authors at York University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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