I am a Postdoctoral Fellow at the Department of Computing at Hong Kong Polytechnic University (PolyU), working with Prof. Dan WANG, who also supervised my PhD.

During my PhD study in PolyU, my research interest lies in machine learning model evaluation in Building Energy System, with hands-on experience in time series forecasting and applications in building HVAC system. I have also contributed my expertise to support AI competitions for Building E&M Facilities hosted by the Hong Kong government. More details of my overall research framework can be found here.

My recent research centers on enhancing the “generalizability” of AI in (building) energy systems, with a focus on two following perspectives. Both have some prelimilary works.

• Large Foundation Models: [Adapt FM_to BLF]
• ML Model Fusion: [HVAC_control1], [HVAC_control2]

Prior to PolyU, I gained valuable industry experience worked as machine learing engineer at Huawei Shanghai Institute and JD.com, two China’s leading tech companies. This experience provided me with practical insights into the deployment of AI in real-world scenarios, which inspired my pursuit of a PhD. My CV: [Yang’s Curriculum Vitae] , [Yang’s 中文简历] (both last updated Mar 2025).

News

• Jul-Aug 2025: I will be a Visiting Fellow at Graduate School of Information Science and Technology, Osaka University, Japan, collaborating with Prof. Ittetsu Taniguchi and Dr. Dafang Zhao.
• May 2025: Two papers on foundation model and data augmentation got accepted by IJCAI’25 and ACM TOSN.
• Dec 2024: I work as a Postdoctoral Fellow (funded by Research Talent Hub of Innovation and Technology Commission, Hong Kong) in the Department of Computing at PolyU.
• Nov 2024: Best Ph.D. Forum Presentation Award at ACM BuildSys 2024 in Hangzhou, China! (for my presentation: Improving Cyber-Physical Building Energy System via Large-Scale Machine Learning Evaluation).
• Oct 2024: Our work AugPlug and two poster/demo are accepted by ACM BuildSys 2024, all related to our BaiTest Project.
• Sep 2024: I passed my PhD defense! And many thanks to Prof. Dan WANG!
• Aug 2024: Best Presentation Award at the 2nd PolyU Research Student Conference (PRSC 2024).
• Jun 2024: Best Poster Runner Up at ACM e-Energy 2024 in Singapore!

Selected Publications

1. AugPlug: An Automated Data Augmentation Model to Enhance Online Building Load Forecasting
   Yang Deng, Rui Liang, Yaohui Liu, Jiaqi Fan, and Dan Wang
   ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys), Best paper candidate, 2024, [pdf] [slides]

2. Decomposition-based Data Augmentation for Time-series Building Load Data
   Yang Deng, Rui Liang, Dan Wang, Ao Li, and Fu Xiao
   ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys), 2023, [pdf] [slides]

3. Behavior testing of load forecasting models using BuildChecks
   Yang Deng, Jiaqi Fan, Hao Jiang, Fang He, Dan Wang, Ao Li, and Fu Xiao
   ACM International Conference on Future Energy Systems (e-Energy), 2022, [pdf] [slides]

4. Energon: A Data Acquisition System for Portable Building Analytics
   He Fang, Yang Deng, Yanhui Xu, Cheng Xu, Dezhi Hong, and Dan Wang
   ACM International Conference on Future Energy Systems (e-Energy), 2021, [pdf] [slides]