| 2026 | WWW | Fairer AI Carbon Accounting: Incorporating Market-based Attribution and Uncertainty in Embodied and Operational Carbon Footprint. | Xiaoyang Zhang, Yang Deng, Fang He, Dan Wang |
| 2026 | WWW | 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 |
| 2025 | IJCAI | 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 |
| 2024 | IJCNN | MP3Net:Multi-scale Patch Parallel Prediction Networks for Multivariate Time Series Forecasting. | Daishun Cui, Jiwei Qin, Fang He, Fei Shi, Qiang Li, Dezhi Sun, Jiachen Xie |
| 2024 | PAKDD | Leveraging Transfer Learning for Enhancing Graph Optimization Problem Solving. | Hui-Ju Hung, Wang-Chien Lee, Chih-Ya Shen, Fang He, Zhen Lei |
| 2023 | INFOCOM | Communication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization. | Heting Liu, Fang He, Guohong Cao |
| 2023 | SENSYS | Ontology Integration for Building Systems and Energy Storage Systems. | Fang He, Dan Wang, Yaojie Sun |
| 2022 | SENSYS | Cloze: a building metadata model generation system based on information extraction. | Fang He, Dan Wang |
| 2021 | CIKM | Graph Neural Sparsification for Hyperspectral Image Classification with Local and Global Consistency. | Haojie Hu, Minli Yao, Fang He, Fenggan Zhang |
| 2021 | KDD | Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach. | Xiao Liang, Zheng Yang, Binghui Wang, Shaofeng Hu, Zijie Yang, Dong Yuan, Neil Zhenqiang Gong, Qi Li, Fang He |
| 2021 | SIGIR | CINES: Explore Citation Network and Event Sequences for Citation Forecasting. | Fang He, Wang-Chien Lee, Tao-Yang Fu, Zhen Lei |
| 2020 | SENSYS | EnergonQL: A Building Independent Acquisitional Query Language for Portable Building Analytics. | Fang He, Cheng Xu, Yanhui Xu, Dezhi Hong, Dan Wang |
| 2019 | ECMS | Modelling The Home Health Care Nurse Scheduling Problem For Patients With Long-Term Conditions In The UK. | Fang He, Thierry J. Chaussalet, Rong Qu |
| 2018 | FUSION | Object Tracking via Deep Multi-View Compressive Model for Visible and Infrared Sequences. | Ningwen Xu, Gang Xiao, Fang He, Xingchen Zhang, Durga Prasad Bavirisetti |
| 2018 | ICARCV | Receding Horizon Estimation for Networked Control Systems with Packet Losses. | Chaochao Li, Chunyan Han, Fang He |
| 2017 | CHI | A Unified Framework for Knowledge Assessment and Progression Analysis and Design. | Shuhan Wang, Fang He, Erik Andersen |
| 2016 | ECMS | Hybridising Local Search With Branch-And-Bound For Constrained Portfolio Selection Problems. | Fang He, Rong Qu |
| 2015 | CEC | A hybrid genetic algorithm for a two-stage stochastic portfolio optimization with uncertain asset prices. | Tianxiang Cui, Ruibin Bai, Andrew J. Parkes, Fang He, Rong Qu, Jingpeng Li |
| 2015 | ECMS | A Compromise Based Fuzzy Goal Programming Approach With Satisfaction Function For Multi-Objective Portfolio Optimisation. | Fang He, Rong Qu, Robert I. John |
| 2008 | SGAI | A Hybrid Constraint Programming Approach for Nurse Rostering Problems. | Rong Qu, Fang He |
| 2005 | ISNN | The Projection Pursuit Learning Network for Nonlinear Time Series Modeling and Forecasting. | Tian Zheng, Zi Jin, Fang He, Ling Wei |