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ORCIDDi Wu 0044
Person information
- affiliation: McGill University, School of Computer Science, Montreal, Canada
Other persons with the same name
- Di Wu — disambiguation page
- Di Wu 0001
![[0000-0002-9433-7725]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9433-7725")
— Sun Yat-Sen University, School of Data and Computer Science, Guangzhou, China (and 3 more) - Di Wu 0002 — Hunan University, Department of Computer Engineering, Changsha, China (and 2 more)
- Di Wu 0003 — Linköping University, Sweden
- Di Wu 0004 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Di Wu 0005 — Huazhong University of Science and Technology, Wuhan, China
- Di Wu 0006 — MIT Media Lab, Cambridge, MA, USA (and 2 more)
- Di Wu 0007 — Dalian University of Technology, School of Computer Science and Technology, China
- Di Wu 0008 — The Chinese University of Hong Kong, Department of Systems Engineering and Engineering Management, Hong Kong
- Di Wu 0009 — PingAn Insurance Group Company of China Ltd., Shenzhen, China (and 2 more)
- Di Wu 0010 — Falcon Computing Solutions, Inc., Los Angeles, CA, USA (and 1 more)
- Di Wu 0011 — Jilin University, State Key Laboratory of Theoretical and Computational Chemistry, Changchun, China
- Di Wu 0012 — Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China
- Di Wu 0013 — Tsinghua University, Beijing, China
- Di Wu 0014 — Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China
- Di Wu 0015 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Di Wu 0016 — University of Central Florida, FL, USA (and 2 more)
- Di Wu 0017 — Texas A&M University, College Station, TX, USA
- Di Wu 0018 — Central China Normal University, National Engineering Research Center for E-Learning, Wuhan, China
- Di Wu 0019 — Rutgers University, Winlab, Piscataway, NJ, USA
- Di Wu 0020 — Shanghai University of Engineering Science, Shanghai Collaborative Innovation Center of Laser Advanced Manufacturing Technology, Shanghai, China (and 1 more)
- Di Wu 0021 — Pacific Northwest National Laboratory, Richland, WA, USA
- Di Wu 0022 — CAS, Insitute of Computing Technology, Beijing, China (and 1 more)
- Di Wu 0023 — Beihang University, Robotics Institute, Beijing, China
- Di Wu 0024 — Chinese Academy of Sciences, Beijing Key Laboratory of Space Environment Exploration, Beijing, China
- Di Wu 0025 — Harbin Engineering University, College of Automation, China
- Di Wu 0026 — University of Oklahoma, School of Electrical and Computer Engineering, USA
- Di Wu 0027 — Shaanxi Normal University, Xi'an, China (and 2 more)
- Di Wu 0028 — Harbin Institute of Technology, School of Electronics and Information Engineering, China
- Di Wu 0029 — University of Melbourne, Australia
- Di Wu 0030 — Tongji University, School of Electronics and Information Engineering, Institute of Machine Learning and Systems Biology, Shanghai, China
- Di Wu 0031 — University of Edinburgh, Institute for Digital Communications, Edinburgh, UK
- Di Wu 0032 — Xi'an Jiaotong University, School of Managemen, Xi'an, China
- Di Wu 0033 — Hebei University of Engineering, Department of Information and Electronic Engineering, Handan, China (and 1 more)
- Di Wu 0034 — Georgia Institute of Technology, Atlanta, GA, USA
- Di Wu 0035 — Norwegian University of Science and Technology, Ålesund, Norway (and 2 more)
- Di Wu 0036 — Nankai University, Lianjin, China
- Di Wu 0037 — University of Southern California, Los Angeles, CA, USA
- Di Wu 0038 — Dalian University of Technology, School of Control Science and Engineering, Dalian, China (and 2 more)
- Di Wu 0039 — Dalian University of Technology, School of Software, Dalian, China
- Di Wu 0040 — Chinese Academy of Sciences, CAS Key Laboratory of FAST, National Astronomical Observatories, Beijing, China
- Di Wu 0041 — Harbin Engineering University, College of Computer Science and Technology, Harbin, China (and 1 more)
- Di Wu 0042 — New Jersey Institute of Technology, Advanced Networking Laboratory, Newark, NJ, USA
- Di Wu 0043 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Di Wu 0045 — University of California at Los Angeles, Electrical Engineering Department, Los Angeles, CA, USA
- Di Wu 0046 — Hunan Institute of Engineering, College of Electrical and Information Engineering, Xiangtan, China
- Di Wu 0047 — Fourth Military Medical University, Department of Psychology, Shaanxi, China
- Di Wu 0048 — Hefei University of Technology, School of Electrical Engineering and Automation, Hefei, China
- Di Wu 0049 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP), Changchun, China
- Di Wu 0050 — University of Southern Queensland, Australia (and 2 more)
- Di Wu 0051 — University of Technology Sydney, School of Civil and Environmental Engineering, Sydney, Australia (and 1 more)
- Di Wu 0052 — Southeast University, School of Automation, Nanjing, China (and 1 more)
- Di Wu 0053 — Johns Hopkins University, Laboratory for Computational Sensing and Robotics, Baltimore, MD, USA (and 1 more)
- Di Wu 0054 — University of California, Los Angeles, CA, USA
- Di Wu 0055 — Hainan Century Frontier Asset Management Co. Ltd, China
- Di Wu 0056 — Southwest University, College of Computer and Information Science, Chongqing, China (and 1 more)
- Di Wu 0057 — Westlake University, Institute of Advanced Technology, CenBRAIN Neurotech, AI Lab, Research Center for Industries of the Future, Hangzhou, China
- Di Wu 0058 — Hainan University, School of Information and Communication Engineering, Haikou, China (and 1 more)
- Di Wu 0059 — Northwestern Polytechnical University, Xi'an, Shaanxi, China (and 2 more)
- Di Wu 0060 — Shenzhen University, College of Electronics and Information Engineering, Guangdong, China (and 4 more)
- Di Wu 0061 — Horizon Robotics, Beijing, China (and 2 more)
- Di Wu 0062 — Xi'an Jiaotong University, School of Computer Science and Technology, Shaanxi, China
- Di Wu 0063 — Harbin Engineering University, Department of Intelligent Systems Science and Engineering, China
- Di Wu 0064 — Beijing University of Technology, Faculty of Information Technology, China
- Di Wu 0065 — University of St Andrews, UK
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2020 – today
- 2024
[c40]Yi Tian Xu, Di Wu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek:
Optimizing Energy Saving for Wireless Networks Via Offline Decision Transformer. ICC 2024: 409-414- [c39]Junliang Luo, Yi Tian Xu, Di Wu, Michael Jenkin, Xue Liu, Gregory Dudek:
Adaptive Dynamic Programming for Energy-Efficient Base Station Cell Switching. ICC Workshops 2024: 1365-1370 - [c38]Jimmy Li, Igor Kozlov, Di Wu, Xue Liu, Gregory Dudek:
Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-Based RAN Optimization. ICC Workshops 2024: 1395-1400 - [c37]Saria Al Laham, Di Wu, Ekram Hossain, Xue Liu, Gregory Dudek:
Probabilistic Mobility Load Balancing for Multi-Band 5G and Beyond Networks. ICC Workshops 2024: 1673-1678 - [c36]Abhisek Konar, Amal Feriani, Di Wu, Seowoo Jang, Xue Liu, Gregory Dudek:
Accelerating Digital Twin Calibration with Warm-Start Bayesian Optimization. ICC 2024: 2372-2377 - [c35]Mostafa Hussien, Mohamed Shoaib, Di Wu, Kim Khoa Nguyen, Mohamed Cheriet:
Surrogate Data Source Transfer (SDST): An Efficient Transfer Learning Approach for Time Series Forecasting. ICC 2024: 5135-5140 - [c34]Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet:
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning. ICML 2024 - [i26]Junliang Luo, Tianyu Li, Di Wu, Michael Jenkin, Steve Liu, Gregory Dudek:
Hallucination Detection and Hallucination Mitigation: An Investigation. CoRR abs/2401.08358 (2024) - [i25]Saria Al Laham, Di Wu, Ekram Hossain, Xue Liu, Gregory Dudek:
Probabilistic Mobility Load Balancing for Multi-band 5G and Beyond Networks. CoRR abs/2401.13792 (2024) - [i24]Jilan Samiuddin, Benoit Boulet, Di Wu:
An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles. CoRR abs/2404.12256 (2024) - [i23]Hao Zhou, Chengming Hu, Ye Yuan, Yufei Cui, Yili Jin, Can Chen, Haolun Wu, Dun Yuan, Li Jiang, Di Wu, Xue Liu, Charlie Jianzhong Zhang, Xianbin Wang, Jiangchuan Liu:
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. CoRR abs/2405.10825 (2024) - [i22]Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet:
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning. CoRR abs/2406.00645 (2024) - [i21]Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Charlie Jianzhong Zhang:
Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control. CoRR abs/2408.00214 (2024) - [i20]Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Zhu Han, Charlie Zhang:
Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning. CoRR abs/2408.02549 (2024) - [i19]Chengming Hu, Hao Zhou, Di Wu, Xi Chen, Jun Yan, Xue Liu:
Self-Refined Generative Foundation Models for Wireless Traffic Prediction. CoRR abs/2408.10390 (2024) - 2023
- [j11]Di Wu, Jimmy Li, Amal Feriani, Yi Tian Xu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek:
Reinforcement learning for communication load balancing: approaches and challenges. Frontiers Comput. Sci. 5 (2023) - [j10]Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton:
Gap Minimization for Knowledge Sharing and Transfer. J. Mach. Learn. Res. 24: 33:1-33:57 (2023) - [j9]Xingshuai Huang, Di Wu, Benoit Boulet:
MetaProbformer for Charging Load Probabilistic Forecasting of Electric Vehicle Charging Stations. IEEE Trans. Intell. Transp. Syst. 24(10): 10445-10455 (2023) - [j8]Di Wu, Fan Zhou, Boyu Wang, Qicheng Lao, Chi Man Wong, Changjian Shui, Yuan Zhou, Feng Wan:
On the Benefits of Two Dimensional Metric Learning. IEEE Trans. Knowl. Data Eng. 35(2): 1909-1921 (2023) - [j7]Di Wu, Weixuan Lin:
Efficient Residential Electric Load Forecasting via Transfer Learning and Graph Neural Networks. IEEE Trans. Smart Grid 14(3): 2423-2431 (2023) - [c33]Jiuqi Elise Zhang, Di Wu, Benoit Boulet:
On the Performance of Legendre State-Space Models in Short-Term Time Series Forecasting. CCECE 2023: 5-11 - [c32]Xijuan Sun, Di Wu, Benoit Boulet:
Analyzing the Benefits of Data Augmentation for Smart Grid Anomaly Detection and Forecasting. CCECE 2023: 416-422 - [c31]Di Wu, Yi Tian Xu, Jimmy Li, Michael Jenkin, Ekram Hossain, Seowoo Jang, Xin Yang, Charlie Zhang, Xue Liu, Gregory Dudek:
Learning to Adapt: Communication Load Balancing via Adaptive Deep Reinforcement Learning. GLOBECOM 2023: 2973-2978 - [c30]Di Wu, Yi Tian Xu, Michael Jenkin, Seowoo Jang, Ekram Hossain, Xue Liu, Gregory Dudek:
Energy Saving in Cellular Wireless Networks via Transfer Deep Reinforcement Learning. GLOBECOM 2023: 7019-7024 - [c29]Chengming Hu, Ju Wang, Di Wu, Yan Xin, Charlie Zhang, Xue Liu, Gregory Dudek:
AdaTeacher: Adaptive Multi-Teacher Weighting for Communication Load Forecasting. GLOBECOM 2023: 7399-7404 - [c28]Yi Tian, Jimmy Li, Di Wu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek:
Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios. ICC 2023: 309-315 - [c27]Abhisek Konar, Di Wu, Yi Tian Xu, Seowoo Jang, Steve Liu, Gregory Dudek:
Communication Load Balancing via Efficient Inverse Reinforcement Learning. ICC 2023: 472-478 - [c26]Igor Kozlov, Dmitriy Rivkin, Wei-Di Chang, Di Wu, Xue Liu, Gregory Dudek:
Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks. ICC 2023: 2227-2232 - [c25]Dun Yuan, Yujin Nam, Amal Feriani, Abhisek Konar, Di Wu, Seowoo Jang, Xue Liu, Gregory Dudek:
Mixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Networks. ICC 2023: 3720-3725 - [c24]Jikun Kang, Di Wu, Ju Wang, Ekram Hossain, Xue Liu, Gregory Dudek:
Multi-Agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks. ICC 2023: 5160-5165 - [c23]Wenbin Song, Di Wu, Weiming Shen, Benoît Boulet:
A Remaining Useful Life Prediction Method for Lithium-ion Battery Based on Temporal Transformer Network. ISM 2023: 1830-1838 - [i18]Igor Kozlov, Dmitriy Rivkin, Wei-Di Chang, Di Wu, Xue Liu, Gregory Dudek:
Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks. CoRR abs/2302.02025 (2023) - [i17]Huiliang Zhang, Di Wu, Benoit Boulet:
Adaptive Aggregation for Safety-Critical Control. CoRR abs/2302.03586 (2023) - [i16]Xijuan Sun, Di Wu, Arnaud Zinflou, Benoit Boulet:
Anomaly Detection with Ensemble of Encoder and Decoder. CoRR abs/2303.06431 (2023) - [i15]Jikun Kang, Di Wu, Ju Wang, Ekram Hossain, Xue Liu, Gregory Dudek:
Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks. CoRR abs/2303.08003 (2023) - [i14]Dun Yuan, Yujin Nam, Amal Feriani, Abhisek Konar, Di Wu, Seowoo Jang, Xue Liu, Gregory Dudek:
Mixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Networks. CoRR abs/2303.13686 (2023) - [i13]Yi Tian Xu, Jimmy Li, Di Wu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek:
Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios. CoRR abs/2303.16685 (2023) - [i12]Abhisek Konar, Di Wu, Yi Tian Xu, Seowoo Jang, Steve Liu, Gregory Dudek:
Communication Load Balancing via Efficient Inverse Reinforcement Learning. CoRR abs/2303.16686 (2023) - [i11]Amal Feriani, Di Wu, Steve Liu, Gregory Dudek:
CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation. CoRR abs/2306.13761 (2023) - [i10]Dun Yuan, Ekram Hossain, Di Wu, Xue Liu, Gregory Dudek:
Realizing XR Applications Using 5G-Based 3D Holographic Communication and Mobile Edge Computing. CoRR abs/2310.03908 (2023) - [i9]Junliang Luo, Yi Tian Xu, Di Wu, Michael R. M. Jenkin, Xue Liu, Gregory Dudek:
Adaptive Dynamic Programming for Energy-Efficient Base Station Cell Switching. CoRR abs/2310.12999 (2023) - [i8]Jimmy Li, Igor Kozlov, Di Wu, Xue Liu, Gregory Dudek:
Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-based RAN Optimization. CoRR abs/2312.03277 (2023) - [i7]Xingshuai Huang, Di Wu, Benoit Boulet:
Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL Approach. CoRR abs/2312.07795 (2023) - 2022
- [j6]Huiliang Zhang, Sayani Seal, Di Wu, François Bouffard, Benoit Boulet:
Building Energy Management With Reinforcement Learning and Model Predictive Control: A Survey. IEEE Access 10: 27853-27862 (2022) - [j5]Xi Chen, Hang Li, Chenyi Zhou, Xue Liu, Di Wu, Gregory Dudek:
Fidora: Robust WiFi-Based Indoor Localization via Unsupervised Domain Adaptation. IEEE Internet Things J. 9(12): 9872-9888 (2022) - [j4]Amal Feriani, Di Wu, Yi Tian Xu, Jimmy Li, Seowoo Jang, Ekram Hossain, Xue Liu, Gregory Dudek:
Multiobjective Load Balancing for Multiband Downlink Cellular Networks: A Meta- Reinforcement Learning Approach. IEEE J. Sel. Areas Commun. 40(9): 2614-2629 (2022) - [c22]Yuwei Fu, Di Wu, Benoit Boulet:
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting. AAAI 2022: 6639-6647 - [c21]Jiuqi Elise Zhang, Di Wu, Benoit Boulet:
Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection. CCECE 2022: 193-199 - [c20]Mostafa Hussien, Yi Tian Xu, Di Wu, Xue Liu, Gregory Dudek:
Efficient Neural Data Compression for Machine Type Communications via Knowledge Distillation. GLOBECOM 2022: 1169-1174 - [c19]Chengming Hu, Ju Wang, Di Wu, Xue Liu, Gregory Dudek:
Accurate Communication Traffic Forecasting with Multi-Source Adaptive Feature Boosting. GLOBECOM 2022: 2316-2321 - [c18]Di Wu, Michael Jenkin, Yi Tian Xu, Xue Liu, Gregory Dudek:
Attentive Knowledge Transfer for Short-term Load Forecasting. GLOBECOM 2022: 5285-5291 - [c17]Manyou Ma, Di Wu, Yi Tian Xu, Jimmy Li, Seowoo Jang, Xue Liu, Gregory Dudek:
Coordinated Load Balancing in Mobile Edge Computing Network: a Multi-Agent DRL Approach. ICC 2022: 619-624 - [c16]Jimmy Li, Di Wu, Yi Tian Xu, Tianyu Li, Seowoo Jang, Xue Liu, Gregory Dudek:
Traffic Scenario Clustering and Load Balancing with Distilled Reinforcement Learning Policies. ICC 2022: 1536-1541 - [c15]Di Wu, Michael Jenkin, Xue Liu, Gregory Dudek:
Active Deep Multi-task Learning for Forecasting Short-Term Loads. ICC 2022: 5523-5529 - [c14]Di Wu, Yi Tian Xu, Michael Jenkin, Ju Wang, Hang Li, Xue Liu, Gregory Dudek:
Short-term Load Forecasting with Deep Boosting Transfer Regression. ICC 2022: 5530-5536 - [c13]Yuwei Fu, Di Wu, Benoit Boulet:
On the Benefits of Transfer Learning and Reinforcement Learning for Electric Short-term Load Forecasting. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2022: 195-203 - [c12]Yuwei Fu, Di Wu, Benoit Boulet:
A Closer Look at Offline RL Agents. NeurIPS 2022 - [i6]Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton:
Gap Minimization for Knowledge Sharing and Transfer. CoRR abs/2201.11231 (2022) - [i5]Jiuqi Elise Zhang, Di Wu, Benoit Boulet:
Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection. CoRR abs/2205.09884 (2022) - [i4]Huiliang Zhang, Di Wu, Benoit Boulet:
MetaEMS: A Meta Reinforcement Learning-based Control Framework for Building Energy Management System. CoRR abs/2210.12590 (2022) - 2021
- [j3]Hang Li, Xi Chen, Ju Wang, Di Wu, Xue Liu:
DAFI: WiFi-based Device-free Indoor Localization via Domain Adaptation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(4): 167:1-167:21 (2021) - [j2]Weixuan Lin, Di Wu, Benoit Boulet:
Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks. IEEE Trans. Smart Grid 12(6): 5373-5384 (2021) - [c11]Xi Chen, Ju Wang, Hang Li, Yi Tian Xu, Di Wu, Xue Liu, Gregory Dudek, Taeseop Lee, Intaik Park:
One for All: Traffic Prediction at Heterogeneous 5G Edge with Data-Efficient Transfer Learning. GLOBECOM 2021: 1-6 - [c10]Chengming Hu, Xi Chen, Ju Wang, Hang Li, Jikun Kang, Yi Tian Xu, Xue Liu, Di Wu, Seowoo Jang, Intaik Park, Gregory Dudek:
AFB: Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting. GLOBECOM 2021: 1-6 - [c9]Dmitriy Rivkin, David Meger, Di Wu, Xi Chen, Xue Liu, Gregory Dudek:
Learning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform. GLOBECOM 2021: 1-7 - [c8]Di Wu, Jikun Kang, Yi Tian Xu, Hang Li, Jimmy Li, Xi Chen, Dmitriy Rivkin, Michael Jenkin, Taeseop Lee, Intaik Park, Xue Liu, Gregory Dudek:
Load Balancing for Communication Networks via Data-Efficient Deep Reinforcement Learning. GLOBECOM 2021: 1-7 - [c7]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. ICC 2021: 1-6 - [c6]Yogesh A. Girdhar, Dmitriy Rivkin, Di Wu, Michael Jenkin, Xue Liu, Gregory Dudek:
Optimizing Cellular Networks via Continuously Moving Base Stations on Road Networks. ICRA 2021: 4020-4025 - [c5]Weixuan Lin, Di Wu:
Characterization of Residential Electricity Customers via Deep Ensemble Learning. AI4KMES@IJCAI 2021: 75-86 - [c4]Di Wu, Can Cui, Benoit Boulet:
Residential Short-Term Load Forecasting via Meta Learning and Domain Augmentation. AI4KMES@IJCAI 2021: 184-196 - [c3]Weixuan Lin, Di Wu:
Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks. IJCAI 2021: 2716-2722 - [i3]Huiliang Zhang, Sayani Seal, Di Wu, Benoit Boulet, François Bouffard, Géza Joós:
Data-driven Model Predictive and Reinforcement Learning Based Control for Building Energy Management: a Survey. CoRR abs/2106.14450 (2021) - [i2]Jiuqi Elise Zhang, Di Wu, Benoit Boulet:
Time Series Anomaly Detection for Smart Grids: A Survey. CoRR abs/2107.08835 (2021) - [i1]Xingshuai Huang, Di Wu, Michael Jenkin, Benoit Boulet:
ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control. CoRR abs/2111.08067 (2021) - 2020
- [j1]Di Wu, Boyu Wang, Doina Precup, Benoit Boulet:
Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting. IEEE Trans. Smart Grid 11(2): 1183-1192 (2020) - [c2]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. WWW 2020: 23-33
2010 – 2019
- 2017
- [c1]Di Wu, Boyu Wang, Doina Precup, Benoit Boulet:
Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting. ECML/PKDD (3) 2017: 39-51
Coauthor Index
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