Yang Deng

According to our database, Yang Deng authored at least 24 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Toward Green Computing: General Carbon Intensity Forecasting via Dual Graph Empowered Time Series Foundation Model.

Xiaoyang Zhang, Taiqi Zhou, Fang He, Yang Deng, Dan Wang

Proceedings of the ACM Web Conference 2026, 2026

Fairer AI Carbon Accounting: Incorporating Market-based Attribution and Uncertainty in Embodied and Operational Carbon Footprint.

Xiaoyang Zhang, Yang Deng, Fang He, Dan Wang

Proceedings of the ACM Web Conference 2026, 2026

Hierarchical Battery Anomaly Detection in Uninterruptible Power Supply Systems via Contrastive Learning.

Yaohui Liu, Yang Deng, Ka Tai Lau, TSE Lok Him, Man Chit Cheung

Proceedings of the 2026 ACM Sustainability Week, 2026

Bayesian Experimental Design-Guided LLM for Active Trainset Selection in Model Fine-Tuning for Energy Prediction.

Yang Deng, Yaohui Liu

Proceedings of the 2026 ACM Sustainability Week, 2026

CaberNet: Causal Representation Learning for Cross-Domain HVAC Energy Prediction.

Kaiyuan Zhai, Jiacheng Cui, Zhehao Zhang, Junyu Xue, Yang Deng, Kui Wu, Guoming Tang

Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems, 2026

ThermoStill: Distilling Time Series Foundation Model into Thermal Dynamics Model for HVAC Model Predictive Control.

Rui Liang, Yang Deng, Yaohui Liu, Dafang Zhao, Ozan Baris Mulayim, Ittetsu Taniguchi, Dan Wang

Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems, 2026

2025

ReeM: Ensemble Building Thermodynamics Model for Efficient HVAC Control via Hierarchical Reinforcement Learning.

Yang Deng, Yaohui Liu, Rui Liang, Dafang Zhao, Donghua Xie, Ittetsu Taniguchi, Dan Wang

CoRR, May, 2025

MetaCloze: a schema-guided automated building metadata model generation system via information extraction.

Fang He, Jiaqi Fan, Yang Deng, Xiaoyang Zhang, Dan Wang

Knowl. Based Syst., 2025

Smart metering data enhancement in sustainable buildings via knowledge graph-guided graph neural networks.

Fang He, Jiaqi Fan, Yang Deng, Xiaoyang Zhang, Ka Tai Lau, Dan Wang

Knowl. Based Syst., 2025

Unveiling the Uncertainty in Embodied and Operational Carbon of Large AI Models through a Probabilistic Carbon Accounting Model.

Xiaoyang Zhang, Fang He, Yang Deng, Dan Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Weather Foundation Model Enhanced Decentralized Photovoltaic Power Forecasting Through Spatio-temporal Knowledge Distillation.

Fang He, Jiaqi Fan, Yang Deng, Xiaoyang Zhang, Ka Tai Lau, Dan Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

HVAC Aggregation for Multi-priority Demand Flexibility: Lessons learn on On-site Experiments.

Dafang Zhao, Yang Deng, Toshihiro Suzuki, Ittetsu Taniguchi, Takao Onoye

Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, 2025

2024

Enabling Time-series Foundation Model for Building Energy Forecasting via Contrastive Curriculum Learning.

Rui Liang, Yang Deng, Donghua Xie, Fang He, Dan Wang

CoRR, 2024

Probabilistic Building Load Forecasting via Conditional Diffusion Model.

Rui Liang, Yang Deng, Dan Wang

Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

Demo: Towards Deploying ML-based Load Forecasting Models for Building HVAC System: an AI Evaluation Platform.

Yang Deng, Donghua Xie, Jingyun Zeng, Rui Liang, Yufei Zhang, Jiaqi Fan, Samson Tai, Dan Wang

Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

A Data-driven Framework for Occupant-centric Demand Flexibility Potential Evaluation at Scale.

Yufei Zhang, Yang Deng, Rui Liang, Yaohui Liu, Dan Wang, Andrew J. Sonta

Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

BuildProg: Program Generation for Testing ML-based Building Load Forecasting models via LLM and Prompt Engineering.

Yang Deng, Donghua Xie, Rui Liang, Jingyun Zeng, Samson Tai, Dan Wang

Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning.

Yang Deng, Yaohui Liu, Rui Liang, Donghua Xie, Dafang Zhao, Ittetsu Taniguchi, Samson Tai, Dan Wang

Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

AugPlug: An Automated Data Augmentation Model to Enhance Online Building Load Forecasting.

Yang Deng, Rui Liang, Yaohui Liu, Jiaqi Fan, Dan Wang

Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

Improving Cyber-Physical Building Energy System via Large-Scale Machine Learning Evaluation.

Yang Deng

Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

2023

Decomposition-based Data Augmentation for Time-series Building Load Data.

Yang Deng, Rui Liang, Dan Wang, Ao Li, Linda Fu Xiao

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Towards a Benchmark for ML-based Building Load Forecasting Model Selection for a Target Building.

Yang Deng, Rui Liang, Jiaqi Fan, Ao Li, Dan Wang

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

2022

Behavior testing of load forecasting models using BuildChecks.

Yang Deng, Jiaqi Fan, Hao Jiang, Fang He, Dan Wang, Ao Li, Linda Fu Xiao

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

2021

Energon: A Data Acquisition System for Portable Building Analytics.

Fang He, Yang Deng, Yanhui Xu, Cheng Xu, Dezhi Hong, Dan Wang

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021