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Canada

Biography

Dr. Tianyu Zhang is an AI Research Scientist at Autodesk Research. His research interests include machine learning, sensor networks, combinatorial optimization, and transfer learning.

Activities

Employment (1)

Autodesk (Canada): Montreal, Quebec, CA

2024-03-11 to present | AI Research Scientist (Autodesk Research)
Employment
Source: Self-asserted source
Tianyu Zhang

Education and qualifications (1)

University of Alberta: Edmonton, AB, CA

2019-09-01 to 2023-12-16 | Doctor of Philosophy (Department of Computing Science)
Education
Source: Self-asserted source
Tianyu Zhang

Works (16)

Comfort-aware Optimal Space Planning in Shared Workspaces

15th ACM International Conference on Future and Sustainable Energy Systems, E-Energy 2024
2024 | Conference paper
EID:

2-s2.0-85187235042

Part of ISBN: 9798400704802
Contributors: Zhang, T.; Ardakanian, O.
Source: Self-asserted source
Tianyu Zhang via Scopus - Elsevier
grade
Preferred source (of 2)‎

Investigating the Impact of Space Allocation Strategy on Energy-Comfort Trade-off in Office Buildings

e-Energy 2023 Companion - Proceedings of the 14th ACM International Conference on Future Energy Systems
2023 | Conference paper
EID:

2-s2.0-85166218583

Part of ISBN: 9798400702273
Contributors: Zhang, T.; Ardakanian, O.
Source: Self-asserted source
Tianyu Zhang via Scopus - Elsevier
grade
Preferred source (of 2)‎

Mitigating an adoption barrier of reinforcement learning-based control strategies in buildings

Energy and Buildings
2023 | Journal article
EID:

2-s2.0-85148002077

Part of ISSN: 03787788
Contributors: Krishna G.S., A.; Zhang, T.; Ardakanian, O.; Taylor, M.E.
Source: Self-asserted source
Tianyu Zhang via Scopus - Elsevier

Addressing data inadequacy challenges in personal comfort models by combining pretrained comfort models

Energy and Buildings
2022 | Journal article
EID:

2-s2.0-85127788447

Part of ISSN: 03787788
Contributors: Zhang, T.; Gu, J.; Ardakanian, O.; Kim, J.
Source: Self-asserted source
Tianyu Zhang via Scopus - Elsevier

Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch

arXiv
2022 | Other
EID:

2-s2.0-85132987759

Part of ISSN: 23318422
Contributors: Zhang, T.; Banitalebi-Dehkordi, A.; Zhang, Y.
Source: Self-asserted source
Tianyu Zhang via Scopus - Elsevier

Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch

Proceedings - International Conference on Pattern Recognition
2022 | Conference paper
EID:

2-s2.0-85143618644

Part of ISBN: 9781665490627
Part of ISSN: 10514651
Contributors: Zhang, T.; Banitalebi-Dehkordi, A.; Zhang, Y.
Source: Self-asserted source
Tianyu Zhang via Scopus - Elsevier

Diversity for transfer in learning-based control of buildings

e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems
2022 | Conference paper
EID:

2-s2.0-85133948136

Part of ISBN: 9781450393973
Contributors: Zhang, T.; Aakash Krishna, G.S.; Afshari, M.; Musilek, P.; Taylor, M.E.; Ardakanian, O.
Source: Self-asserted source
Tianyu Zhang via Scopus - Elsevier

Mitigating an Adoption Barrier of Reinforcement Learning-Based Control Strategies in Buildings

SSRN
2022 | Other
EID:

2-s2.0-85179578471

Part of ISSN: 15565068
Contributors: Sasikumar, A.K.G.; Zhang, T.; Ardakanian, O.; Taylor, M.E.
Source: Self-asserted source
Tianyu Zhang via Scopus - Elsevier

Identifying grey-box thermal models with Bayesian neural networks

Energy and Buildings
2021 | Journal article
EID:

2-s2.0-85102060516

Part of ISSN: 03787788
Contributors: Hossain, M.M.; Zhang, T.; Ardakanian, O.
Source: Self-asserted source
Tianyu Zhang via Scopus - Elsevier

On the Joint Control of Multiple Building Systems with Reinforcement Learning

e-Energy 2021 - Proceedings of the 2021 12th ACM International Conference on Future Energy Systems
2021 | Conference paper
EID:

2-s2.0-85109342037

Part of ISBN: 9781450383332
Contributors: Zhang, T.; Baasch, G.; Ardakanian, O.; Evins, R.
Source: Self-asserted source
Tianyu Zhang via Scopus - Elsevier

COBS: COmprehensive Building Simulator

BuildSys 2020 - Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
2020 | Conference paper
EID:

2-s2.0-85097164505

Part of ISBN: 9781450380614
Contributors: Zhang, T.; Ardakanian, O.
Source: Self-asserted source
Tianyu Zhang via Scopus - Elsevier

Identifying grey-box thermal models with bayesian neural networks

arXiv
2020 | Other
EID:

2-s2.0-85169988495

Part of ISSN: 23318422
Contributors: Hossain, M.M.; Zhang, T.; Ardakanian, O.
Source: Self-asserted source
Tianyu Zhang via Scopus - Elsevier

Identifying Grey-box Thermal Models with Bayesian Neural Networks

2020-09-13 | Preprint
Source: Self-asserted source
Tianyu Zhang

Evaluating the Feasibility of Reusing Pre-trained Thermal Models in the Residential Sector

Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization - UrbSys'19
2019-09-20 | Conference paper
Part of ISBN: 9781450370141
Source: Self-asserted source
Tianyu Zhang
grade
Preferred source (of 2)‎

ODToolkit

Proceedings of the Tenth ACM International Conference on Future Energy Systems
2019-06-15 | Conference paper
Part of ISBN: 9781450366717
Source: Self-asserted source
Tianyu Zhang
grade
Preferred source (of 2)‎

A domain adaptation technique for fine-grained occupancy estimation in commercial buildings

Proceedings of the International Conference on Internet of Things Design and Implementation
2019-04-15 | Conference paper
Part of ISBN: 9781450362832
Source: Self-asserted source
Tianyu Zhang
grade
Preferred source (of 2)‎

Peer review (19 reviews for 2 publications/grants)

Review activity for Artificial intelligence review. (1)
Review activity for Energy and buildings. (18)