Tianzhen Hong

16 papers Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
EnergyPlus-MCP: A model-context-protocol server for ai-driven building energy modeling.
SoftwareX
Han Li, Yujie Xu, Tianzhen Hong
2025 J jnl
Physics-informed machine learning for building performance simulation-A review of a nascent field.
CoRR
Zixin Jiang, Xuezheng Wang, Han Li, Tianzhen Hong, Fengqi You, Ján Drgona, Draguna L. Vrabie, Bing Dong
2025 — conf
Poster Abstract: Leveraging Large Language Models to Reveal Interpretable Cooling Behaviors from Smart Thermostat Data.
BuildSys
Kopal Nihar, Han Li, Jeetika Malik, Tianzhen Hong
2025 J jnl
Systematic Evaluation of Knowledge Graph Repair with Large Language Models.
CoRR
Tung-Wei Lin, Gabe Fierro, Han Li, Tianzhen Hong, Pierluigi Nuzzo, Alberto L. Sangiovanni-Vincentelli
2024 J jnl
Building thermal dynamics modeling with deep transfer learning using a large residential smart thermostat dataset.
Eng. Appl. Artif. Intell.
Han Li, Giuseppe Pinto, Marco Savino Piscitelli, Alfonso Capozzoli, Tianzhen Hong
2024 J jnl
CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities.
CoRR
Kingsley Nweye, Kathryn Kaspar, Giacomo Buscemi, Tiago Fonseca, Giuseppe Pinto, Dipanjan Ghose, Satvik Duddukuru, Pavani Pratapa, Han Li, Javad Mohammadi, Luis Lino Ferreira, Tianzhen Hong, Mohamed Ouf, Alfonso Capozzoli, Zoltán Nagy
2023 — conf
CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities.
BuildSys
Kingsley Nweye, Kathryn Kaspar, Giacomo Buscemi, Giuseppe Pinto, Han Li, Tianzhen Hong, Mohamed Ouf, Alfonso Capozzoli, Zoltán Nagy
2022 — conf
Building thermal dynamics modeling with deep learning exploiting large residential smart thermostat dataset.
BuildSys
Han Li, Giuseppe Pinto, Alfonso Capozzoli, Tianzhen Hong
2022 J jnl
Data-Driven Key Performance Indicators and Datasets for Building Energy Flexibility: A Review and Perspectives.
CoRR
Han Li, Hicham Johra, Flavia de Andrade Pereira, Tianzhen Hong, Jérôme Le Dreau, Anthony Maturo, Mingjun Wei, Yapan Liu, Ali Saberi-Derakhtenjani, Zoltán Nagy, Anna Marszal-Pomianowska, Donal Finn, Shohei Miyata, Kathryn Kaspar, Kingsley Nweye, Zheng O'Neill, Fabiano Pallonetto, Bing Dong
2021 — conf
The CityLearn Challenge 2022: Overview, Results, and Lessons Learned.
NeurIPS (Competition and Demos)
Kingsley Nweye, Zoltán Nagy, Sharada P. Mohanty, Dipam Chakraborty, Siva Sankaranarayanan, Tianzhen Hong, Sourav Dey, Gregor Henze, Ján Drgona, Fangquan Lin, Wei Jiang, Hanwei Zhang, Zhongkai Yi, Jihai Zhang, Cheng Yang, Matthew Motoki, Sorapong Khongnawang, Michael Ibrahim, Abilmansur Zhumabekov, Daniel May, Zhihu Yang, Xiaozhuang Song, Han Zhang, Xiaoning Dong, Shun Zheng, Jiang Bian
2021 J jnl
Urban Building Energy Modeling (UBEM) Tools: A State-of-the-Art Review of bottom-up physics-based approaches.
CoRR
Martina Ferrando, Francesco Causone, Tianzhen Hong, Yixing Chen
2020 — conf
Effective Missing Value Imputation Methods for Building Monitoring Data.
IEEE BigData
Brian Cho, Teresa Dayrit, Yuan Gao, Zhe Wang, Tianzhen Hong, Alex Sim, Kesheng Wu
2019 J jnl
Open Computing Infrastructure for Sharing Data Analytics to Support Building Energy Simulations.
J. Comput. Civ. Eng.
Omer Tugrul Karaguzel, Mohammed Elshambakey, Yimin Zhu, Tianzhen Hong, William J. Tolone, Sreyasee Das Bhattacharjee, Isaac Cho, Wenwen Dou, Haopeng Wang, Siliang Lu, Mohamed Khalefa, Yong Tao
2018 J jnl
A Framework for Privacy-Preserving Data Publishing with Enhanced Utility for Cyber-Physical Systems.
ACM Trans. Sens. Networks
Fisayo Caleb Sangogboye, Ruoxi Jia, Tianzhen Hong, Costas J. Spanos, Mikkel Baun Kjærgaard
2017 — conf
PAD: protecting anonymity in publishing building related datasets.
BuildSys
Ruoxi Jia, Fisayo Caleb Sangogboye, Tianzhen Hong, Costas J. Spanos, Mikkel Baun Kjærgaard
2017 — conf
Privacy-preserving building-related data publication using PAD.
BuildSys
Ruoxi Jia, Fisayo Caleb Sangogboye, Tianzhen Hong, Costas J. Spanos, Mikkel Baun Kjærgaard