Yuwei Fu, Di Wu, Benoit Boulet. (2022). A Closer Look at Offline RL Agents. The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS-2022), New Orleans, United States of America
Mostafa Hussien, Yi Tian Xu, Di Wu, Xue Liu, Gregory Dudek. (2022). Efficient Neural Data Compression for Machine TypeCommunications via Knowledge Distillation. The 2022 IEEE Global Communications Conference (GLOBECOM-2022), Rio de Janeiro, Brazil
Yuwei Fu, Di Wu, Benoit Boulet. (2022). On the Benefits of Transfer Learning and Reinforcement Learning for Electric Short-term Load Forecasting. The 2022 IEEE International Conference on Green Computing and Communications (GreenCom-2022), ESPOO, Finland
Jiuqi Zhang, Di Wu, Benoit Boulet. (2022). Time Series Anomaly Detection via Reinforcement Learning-based Model Selection. The 35th Canadian Conference on Electrical and Computer Engineering (CCECE-2022), Halifax, Canada
Di Wu, Michael Jenkin, Yi Tian Xu, Xue Liu, Gregory Dudek. (2022). Attentive Knowledge Transfer for Short-term Load Forecasting. The 2022 IEEE Global Communications Conference (GLOBECOM-2022), Rio de Janeiro, Brazil
Yuwei Fu, Di Wu, Benoit Boulet. (2022). Reinforcement Learning based Dynamic Model Combinationfor Time Series Forecasting. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-2022), Virtual
Xijuan Sun, Di Wu, Menghan Jia, Yuxuan Xiao, and Benoit Boulet “Forecasting of Solar Energy Generation via Dynamic Model Ensemble,” 2022 IEEE Electrical Power and Energy Conference (EPEC 2022)
Xijuan Sun, Di Wu, Arnaud Zinflou, and Benoit Boulet “Power System Anomaly Detection via Ensemble of Encoder and Decoder Networks,” 2022 IEEE Electrical Power and Energy Conference (EPEC 2022)
Jimmy Li, Di Wu, Yi Tian Xu, Tianyu Li, Seowoo Jang, Xue Liu, and Gregory Dudek, Traffic Scenario Clustering and Load Balancing with Distilled Reinforcement Learning Policies, accepted by ICC 2022
Manyou Ma, Di Wu, Yi Tian Xu, Jimmy Li, Seowoo Jang, Xue Liu, and Gregory Dudek, Coordinated Load Balancing in Mobile Edge Computing Network: a Multi-Agent DRL Approach, accepted by ICC 2022
Di Wu, Yi Tian Xu, Michael Jenkin, Ju Wang, Hang Li, Xue Liu, Gregory Dudek, Short-term Load Forecasting with Deep Boosting Transfer Regression, accepted by ICC 2022
Di Wu, Michael Jenkin, Xue Liu, Gregory Dudek, Short-Term Load Forecasting via Active Deep Multi-task Learning, accepted by ICC 2022
Weixuan Lin, Di Wu. Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks. IJCAI 2021: 2716-2722
Yogesh Girdhar, Dmitriy Rivkin, Di Wu, Michael Jenkin, Xue Liu, Gregory Dudek. (2021, May). Optimizing Cellular Networks via Continuously Moving Base Stations on Road Networks. In 2021 IEEE International Conference on Robotics and Automation (ICRA) (pp. 4020-4025). IEEE.
Di Wu, Jikun Kang, Hang Li, Xi Chen, Yi Tian Xu, Dmitriy Rivkin, Taeseop Lee, Intaik Park, Michael Jenkin, Xue Liu, Greogry Dudek. Load Balancing for 5G Communication Networks via Data-Efficient Deep Reinforcement Learning, accepted by Globecom 2021
Dmitriy Rivkin, David Meger, Di Wu, Xi Chen, Xue Liu, Greogry Dudek. Learning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform, accepted by Globecom 2021
Xi Chen, Ju Wang, Hang Li, Yi Tian Xu, Di Wu, Xue Liu, Gregory Dudek, Taeseop Lee, Intaik Park. One for All: Prediction of Communication Traffic via Data-Efficient Explainable Transfer Learning, accepted by Globecom 2021
Chengming Hu, Xi Chen, Ju Wang, Hang Li, Jikun Kang, Yi Tian Xu, Xue Liu, Seowoo Jang, Intaik Park, Gregory Dudek. AFB: Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting, accepted by Globecom 2021
Jiuqi Elise Zhang, Di Wu, and Benoit Boulet. "Time Series Anomaly Detection for Smart Grids: A Survey." 2021 IEEE Electrical Power and Energy Conference (EPEC). IEEE, 2021.
Qiyun Dang, Di Wu, Benoit Boulet. Electric Vehicle Battery as Energy Storage Unit Consider Renewable Power Uncertainty. In 2021 IEEE Energy Conversion Congress and Exposition (ECCE) (pp. 668-673). IEEE.
Qiyun Dang, Di Wu, Bneoit Boulet. EV Fleet Batteries as Distributed Energy Resources Considering Dynamic Electricity Pricing. In 2021 IEEE 12th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) (pp. 1-6). IEEE.
Jikun Kang, Xi Chen, Di Wu, Yi Tian Xu, Xue Liu, Gregory Dudek, Taeseop Lee, Intaik Park. Hierarchical Policy Learning for Hybrid Communication Load Balancing. In ICC 2021-IEEE International Conference on Communications (pp. 1-6). IEEE.
Huiliang Zhang, Di Wu, Benoit Boulet. A Review of Recent Advances on Reinforcement Learning for Smart Home Energy Management. In 2020 IEEE Electric Power and Energy Conference (EPEC) (pp. 1-6). IEEE.
Xingshuai Huang, Di Wu, Benoit Boulet. Ensemble Learning for Charging Load Forecasting of Electric Vehicle Charging Stations. In 2020 IEEE Electric Power and Energy Conference (EPEC) (pp. 1-5). IEEE.
Qiyun Dang, Di Wu, Benoit Boulet. Community Microgrid Energy Storage Sizing Considering EV Fleet Batteries as Supplemental Resource. In 2020 IEEE Electric Power and Energy Conference (EPEC) (pp. 1-5). IEEE.
Qiyun Dang, Di Wu, Benoit Boulet.. Ev charging management with ann-based electricity price forecasting. In 2020 IEEE Transportation Electrification Conference & Expo (ITEC) (pp. 626-630). IEEE.
Xi Chen , Hang Li , Chenyi Zhou , Xue Liu , Di Wu , Gregory Dudek. Fido: Ubiquitous fine-grained wifi-based localization for unlabelled users via domain adaptation. In Proceedings of The Web Conference 2020 (pp. 23-33).
Qiyun Dang, Di Wu, Benoit Boulet.. A Q-learning based charging scheduling scheme for electric vehicles. In 2019 IEEE Transportation Electrification Conference and Expo (ITEC) (pp. 1-5). IEEE.
Qiyun Dang, Di Wu, Benoit Boulet. An Advanced Framework for Electric Vehicles Interaction with Distribution Grids Based on Q-Learning. In 2019 IEEE Energy Conversion Congress and Exposition (ECCE) (pp. 3491-3495). IEEE.
Di Wu, Boyu Wang, Doina Precup, Benoit Boulet. Boosting based multiple kernel learning and transfer regression for electricity load forecasting. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 39-51). Springer, Cham.
Chen Wang, Di Wu, Haibo Zeng, Virgilio Centeno. (2016, September). CPS based electric vehicle charging directing system design in Smart Grid. In 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) (pp. 1-5). IEEE.
Jian Xiong, Di Wu, Haibo Zeng, Shi Liu, Xiaoyu Wang. Impact assessment of electric vehicle charging on hydro Ottawa distribution networks at neighborhood levels. In 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) (pp. 1072-1077). IEEE.
Kaisheng Ma, Xiaoxin Cui, Nan Liao, Kai Liao, Di Wu, Dunshan Yu. Key characterization factors of accurate power modeling for FinFET circuits. Science China Information Sciences, 58(2), 1-13.
Di Wu, Haibo Zeng, Benoit Boulet. Neighborhood level network aware electric vehicle charging management with mixed control strategy. In 2014 IEEE International Electric Vehicle Conference (IEVC) (pp. 1-7). IEEE.
Rui Li, Xiaoxin Cui, Wei Wei, Di Wu. A combined countermeasure against DPA and implementation on DES. In 2013 IEEE International Conference of Electron Devices and Solid-state Circuits (pp. 1-2). IEEE.
Di Wu, Xiaoxin Cui, Wei Wei, Rui Li Dunshan Yu, Xiaoxin Cui. Research on circuit level countermeasures for differential power analysis attacks. In 2012 IEEE 11th International Conference on Solid-State and Integrated Circuit Technology (pp. 1-3). IEEE.
Wei, Wei, Xiaoxin Cui, Di Wu, Rui Li, Kaisheng Ma, Dunshan Yu, Xiaole Cui. A compact implementation of masked AES S-box. In 2012 IEEE 11th International Conference on Solid-State and Integrated Circuit Technology (pp. 1-3). IEEE.
Di Wu, Weixuan Lin. (2022). Efficient Residential Electric Load Forecasting via TransferLearning and Graph Neural Networks. accepted by IEEE Transactions on Smart Grid.
Feriani, Amal, Di Wu, Yi Tian Xu, Jimmy Li, Seowoo Jang, Ekram Hossain, Xue Liu, and Gregory Dudek. (2022). Multiobjective Load Balancing for Multiband Downlink Cellular Networks: A Meta-Reinforcement Learning Approach. IEEE Journal on Selected Areas in Communications. 40(9): 16.
Yuwei Fu, Di Wu, Benoit Boulet. (2022). Time Series Forecasting via Reinforcement Learning-based Model Combination. IEEE Transactions on Knowledge and Data Engineering, under review.
Boyu Wang, Jorge Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng xu, Christian Gagne, Eric Eaton. (2022). Gap Minimization for Knowledge Sharing and Transfer. under revision of Journal of Machine Learning Research.
Xingshuai Huang, Di Wu, Benoit Boulet. (2022). MetaProbformer for Charging Load Probabilistic Forecasting of Electric Vehicle Charging Stations. under revision of IEEE Transactions on Intelligent Transportation Systems.
Chen, Xi, Hang Li, Chenyi Zhou, Xue Liu, Di Wu, and Gregory Dudek. (2021). Fidora: Robust WiFibasedIndoor Localization via Unsupervised Domain Adaptation. IEEE Internet of Things Journal. 9(12): 9872-9888.
Di Wu, Fan Zhou, Boyu Wang, Chi Man Wong, Changjian Shui, Yuan Zhou, Qicheng Lao, Feng Wan. (2021) On the Benefits of Two Dimensional Metric Learning. IEEE Transactions on Knowledge and Data Engineering.
Weixuan Lin, Di Wu, Benoit Boulet. (2021). Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks. IEEE Transactions on Smart Grid, 12(6), 5373-5384.
Dang, Qiyun, Di Wu, and Benoit Boulet. "EV Fleet as Virtual Battery Resource for Community Microgrid Energy Storage Planning Le parc de véhicules électriques comme ressource de batterie virtuelle pour la planification du stockage d'énergie des micro-réseaux communautaires." IEEE Canadian Journal of Electrical and Computer Engineering (2021).
Di Wu, D, Boyu Wang, Doina Precup, D, Benoit Boulet. (2019). Multiple kernel learning-based transfer regression for electric load forecasting. IEEE Transactions on Smart Grid, 11(2), 1183-1192.
Di Wu, Haibo Zeng, Chao Lu, Benoit Boulet. (2017). Two-stage energy management for office buildings with workplace EV charging and renewable energy. IEEE Transactions on Transportation Electrification, 3(1), 225-237.
Di Wu, Haibo Zeng, Benoit Boulet. (2016). Impact Analysis of Controllable Home Appliances and EVs on Neighbourhood Level Network with Smart Control. World Electric Vehicle Journal, 8(2), 543-552.
Di Wu, Haibo Zeng, Benoit Boulet. (2015). Impact Analysis of EV Charging with Mixed Control Strategy, Journal of Energy and Power Engineering
Nan Liao, Xiaoxin Cui, Kai Liao, Kaisheng Ma, Di Wu, Dunshan Yu. (2014). Low power adiabatic logic based on FinFETs. Science China information sciences, 57(2), 1-13.
Di Wu, Tianyu Li, Xue Liu, David Meger, Michael Jenkin, Gregory Dudek. MBAIL: Multi-Batch Best Action Imitation Learning utilizing Sample Transfer and Policy Distillation, 2021 Neurips workshop on offline RL.
Yuwei Fu, Di Wu, Benoit Boulet. Benchmarking Sample Selection Strategies for Batch Reinforcement Learning, 2021 Neurips workshop on offline RL.
Di Wu, Can Cui, Benoit Boulet, Zero-shot Knowledge Transfer for Residential Short-Term Load Forecasting, 2021 IJCAI workshop on AI for Energy and Sustainability
Yuwei Fu, Di Wu, Benoit Boulet. Batch Reinforcement Learning in the Real World: A Survey, 2021 Neurips workshop on offline RL.
Xingshuai Huang, Di Wu, Benoit Boulet. ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control, 2021 ICML workshop on Reinforcement Learning for Real Life
Di Wu, Can Cui, Benoit Boulet, Data-driven Chance Constrained Programming based Electric Vehicle Penetration Analysis, 2019, ICML workshop on Climate Change
Di Wu, Guillaume Rabusseau, Vincent François-lavet, Doina Precup, Benoit Boulet. Optimizing home energy management and electric vehicle charging with reinforcement learning. 2018, ICML workshop on Climate Change.