Di Wu - RankMe

111 papers A* 7A 1B 11C 1Journal 62Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Training-Free Regeneration Paradigm: Contrastive Reflection Memory Guided Self-Verification and Self-Improvement. CoRR Yuran Li, Di Wu, Benoit Boulet
2026	J	`jnl`	Leveraging Long-Term Multivariate History Representation for Time Series Forecasting. IEEE Trans. Artif. Intell. Huiliang Zhang, Di Wu, Arnaud Zinflou, Stéphane Dellacherie, Mouhamadou Makhtar Dione, Benoit Boulet
2026	J	`jnl`	STEMS: Spatial-Temporal-Enhanced Safe Multiagent Coordination for Building Energy Management. IEEE Internet Things J. Huiliang Zhang, Di Wu, Arnaud Zinflou, Benoit Boulet
2026	J	`jnl`	When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining. CoRR Zhihao Li, Gezheng Xu, Jiale Cai, Ruiyi Fang, Di Wu, Qicheng Lao, Charles X. Ling, Boyu Wang
2025	J	`jnl`	An Online Self-Learning Graph-Based Lateral Controller for Self-Driving Cars. IEEE Trans. Intell. Veh. Jilan Samiuddin, Benoit Boulet, Di Wu
2025	J	`jnl`	Causal Feature Selection for Weather-Driven Residential Load Forecasting. CoRR Jiuqi Elise Zhang, François Mirallès, Stéphane Dellacherie, Di Wu, Benoit Boulet
2025	J	`jnl`	DRDT3: Diffusion-Refined Decision Test-Time Training Model. CoRR Xingshuai Huang, Di Wu, Benoit Boulet
2025	J	`jnl`	DRDT3: Diffusion-Refined Decision Test-Time Training Model. Trans. Mach. Learn. Res. Xingshuai Huang, Di Wu, Benoit Boulet
2025	—	`conf`	Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation. ICC Workshops Dun Yuan, Hao Zhou, Di Wu, Xue Liu, Hao Chen, Yan Xin, Jianzhong Charlie Zhang
2025	J	`jnl`	Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation. CoRR Dun Yuan, Hao Zhou, Di Wu, Xue Liu, Hao Chen, Yan Xin, Jianzhong Zhang
2025	—	`conf`	Enhancing the Reliability of Large Language Models in Specialized Domains by Balancing Internal and External Knowledge. FLLM Yuran Li, Di Wu, Benoit Boulet
2025	J	`jnl`	Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-Context Learning. IEEE Wirel. Commun. Lett. Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Zhu Han, Jianzhong Zhang
2025	J	`jnl`	Goal-Conditioned Data Augmentation for Offline Reinforcement Learning. Trans. Mach. Learn. Res. Xingshuai Huang, Di Wu, Benoit Boulet
2025	J	`jnl`	Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. IEEE Commun. Surv. Tutorials Hao Zhou, Chengming Hu, Ye Yuan, Yufei Cui, Yili Jin, Can Chen, Haolun Wu, Dun Yuan, Li Jiang, Di Wu, Xue (Steve) Liu, Jianzhong Zhang, Xianbin Wang, Jiangchuan Liu
2025	J	`jnl`	Leveraging LLMs as Meta-Judges: A Multi-Agent Framework for Evaluating LLM Judgments. CoRR Yuran Li, Jama Hussein Mohamud, Chongren Sun, Di Wu, Benoit Boulet
2025	J	`jnl`	Leveraging Multivariate Long-Term History Representation for Time Series Forecasting. CoRR Huiliang Zhang, Di Wu, Arnaud Zinflou, Stéphane Dellacherie, Mouhamadou Makhtar Dione, Benoit Boulet
2025	—	`conf`	MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems. CLeaR Jiuqi Elise Zhang, François Mirallès, Raphaël Rousseau-Rizzi, Arnaud Zinflou, Di Wu, Benoit Boulet
2025	J	`jnl`	MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems. CoRR Jiuqi Elise Zhang, François Mirallès, Raphaël Rousseau-Rizzi, Arnaud Zinflou, Di Wu, Benoit Boulet
2025	J	`jnl`	OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models. CoRR Chongren Sun, Yuran Li, Di Wu, Benoit Boulet
2025	B	`conf`	Probabilistic Electrical Load Forecasting via Prior-Guided Meta Diffusion Models. GLOBECOM Zhiqi Zhuang, Di Wu, Michael Jenkin, Ekram Hossain, Arnaud Zinflou, Alexia Marchand, Benoit Boulet
2025	J	`jnl`	STEMS: Spatial-Temporal Enhanced Safe Multi-Agent Coordination for Building Energy Management. CoRR Huiliang Zhang, Di Wu, Arnaud Zinflou, Benoit Boulet
2025	J	`jnl`	Time Series Forecasting via Reinforcement-Learning-Based Model Combination. IEEE Internet Things J. Yuwei Fu, Di Wu, Benoit Boulet, Arnaud Zinflou
2025	J	`jnl`	Transaction Profiling and Address Role Inference in Tokenized U.S. Treasuries. CoRR Junliang Luo, Katrin Tinn, Samuel Ferreira Duran, Di Wu, Xue Liu
2024	—	`conf`	Accelerating Digital Twin Calibration with Warm-Start Bayesian Optimization. ICC Abhisek Konar, Amal Feriani, Di Wu, Seowoo Jang, Xue Liu, Gregory Dudek
2024	—	`conf`	Adaptive Dynamic Programming for Energy-Efficient Base Station Cell Switching. ICC Workshops Junliang Luo, Yi Tian Xu, Di Wu, Michael Jenkin, Xue Liu, Gregory Dudek
2024	J	`jnl`	An Online Self-learning Graph-based Lateral Controller for Self-Driving Cars. CoRR Jilan Samiuddin, Benoit Boulet, Di Wu
2024	J	`jnl`	An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles. CoRR Jilan Samiuddin, Benoit Boulet, Di Wu
2024	J	`jnl`	An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles. IEEE Trans. Intell. Veh. Jilan Samiuddin, Benoit Boulet, Di Wu
2024	—	`conf`	Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-Based RAN Optimization. ICC Workshops Jimmy Li, Igor Kozlov, Di Wu, Xue Liu, Gregory Dudek
2024	A*	`conf`	FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning. ICML Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet
2024	J	`jnl`	FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning. CoRR Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet
2024	J	`jnl`	Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning. CoRR Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Zhu Han, Charlie Zhang
2024	J	`jnl`	Goal-Conditioned Data Augmentation for Offline Reinforcement Learning. CoRR Xingshuai Huang, Di Wu, Benoit Boulet
2024	J	`jnl`	Hallucination Detection and Hallucination Mitigation: An Investigation. CoRR Junliang Luo, Tianyu Li, Di Wu, Michael Jenkin, Steve Liu, Gregory Dudek
2024	J	`jnl`	Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. CoRR 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
2024	J	`jnl`	Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control. CoRR Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Charlie Jianzhong Zhang
2024	J	`jnl`	Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective. CoRR Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xi Chen, Hina Tabassum, Xue Liu
2024	—	`conf`	Multimode Fiber Image Transmission via Cross-Modal Knowledge distillation. CCECE Weixuan Lin, Di Wu, Benoit Boulet
2024	—	`conf`	Optimizing Energy Saving for Wireless Networks Via Offline Decision Transformer. ICC Yi Tian Xu, Di Wu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek
2024	—	`conf`	Probabilistic Mobility Load Balancing for Multi-Band 5G and Beyond Networks. ICC Workshops Saria Al Laham, Di Wu, Ekram Hossain, Xue Liu, Gregory Dudek
2024	J	`jnl`	Probabilistic Mobility Load Balancing for Multi-band 5G and Beyond Networks. CoRR Saria Al Laham, Di Wu, Ekram Hossain, Xue Liu, Gregory Dudek
2024	A*	`conf`	Robot Policy Learning with Temporal Optimal Transport Reward. NeurIPS Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet
2024	J	`jnl`	Robot Policy Learning with Temporal Optimal Transport Reward. CoRR Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet
2024	—	`conf`	Sample-Efficient Meta-RL for Traffic Signal Control. CCECE Xingshuai Huang, Di Wu, Michael Jenkin, Benoit Boulet
2024	J	`jnl`	Self-Refined Generative Foundation Models for Wireless Traffic Prediction. CoRR Chengming Hu, Hao Zhou, Di Wu, Xi Chen, Jun Yan, Xue Liu
2024	—	`conf`	Surrogate Data Source Transfer (SDST): An Efficient Transfer Learning Approach for Time Series Forecasting. ICC Mostafa Hussien, Mohamed Shoaib, Di Wu, Kim Khoa Nguyen, Mohamed Cheriet
2024	A	`conf`	Towards Enhanced Fairness and Sample Efficiency in Traffic Signal Control. IROS Xingshuai Huang, Di Wu, Michael Jenkin, Benoit Boulet
2024	—	`conf`	Trajectory Prediction for Autonomous Driving Using Agent-Interaction Graph Embedding. ITSC Jilan Samiuddin, Benoit Boulet, Di Wu
2024	J	`jnl`	Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding. CoRR Jilan Samiuddin, Benoit Boulet, Di Wu
2023	B	`conf`	AdaTeacher: Adaptive Multi-Teacher Weighting for Communication Load Forecasting. GLOBECOM Chengming Hu, Ju Wang, Di Wu, Yan Xin, Charlie Zhang, Xue Liu, Gregory Dudek
2023	J	`jnl`	Adaptive Aggregation for Safety-Critical Control. CoRR Huiliang Zhang, Di Wu, Benoit Boulet
2023	J	`jnl`	Adaptive Dynamic Programming for Energy-Efficient Base Station Cell Switching. CoRR Junliang Luo, Yi Tian Xu, Di Wu, Michael R. M. Jenkin, Xue Liu, Gregory Dudek
2023	—	`conf`	Analyzing the Benefits of Data Augmentation for Smart Grid Anomaly Detection and Forecasting. CCECE Xijuan Sun, Di Wu, Benoit Boulet
2023	J	`jnl`	Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-based RAN Optimization. CoRR Jimmy Li, Igor Kozlov, Di Wu, Xue Liu, Gregory Dudek
2023	J	`jnl`	Anomaly Detection with Ensemble of Encoder and Decoder. CoRR Xijuan Sun, Di Wu, Arnaud Zinflou, Benoit Boulet
2023	J	`jnl`	CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation. CoRR Amal Feriani, Di Wu, Steve Liu, Gregory Dudek
2023	—	`conf`	Communication Load Balancing via Efficient Inverse Reinforcement Learning. ICC Abhisek Konar, Di Wu, Yi Tian Xu, Seowoo Jang, Steve Liu, Gregory Dudek
2023	J	`jnl`	Communication Load Balancing via Efficient Inverse Reinforcement Learning. CoRR Abhisek Konar, Di Wu, Yi Tian Xu, Seowoo Jang, Steve Liu, Gregory Dudek
2023	J	`jnl`	Efficient Residential Electric Load Forecasting via Transfer Learning and Graph Neural Networks. IEEE Trans. Smart Grid Di Wu, Weixuan Lin
2023	B	`conf`	Energy Saving in Cellular Wireless Networks via Transfer Deep Reinforcement Learning. GLOBECOM Di Wu, Yi Tian Xu, Michael Jenkin, Seowoo Jang, Ekram Hossain, Xue Liu, Gregory Dudek
2023	J	`jnl`	Gap Minimization for Knowledge Sharing and Transfer. J. Mach. Learn. Res. Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton
2023	B	`conf`	Learning to Adapt: Communication Load Balancing via Adaptive Deep Reinforcement Learning. GLOBECOM Di Wu, Yi Tian Xu, Jimmy Li, Michael Jenkin, Ekram Hossain, Seowoo Jang, Xin Yang, Charlie Zhang, Xue Liu, Gregory Dudek
2023	J	`jnl`	MetaProbformer for Charging Load Probabilistic Forecasting of Electric Vehicle Charging Stations. IEEE Trans. Intell. Transp. Syst. Xingshuai Huang, Di Wu, Benoit Boulet
2023	—	`conf`	Mixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Networks. ICC Dun Yuan, Yujin Nam, Amal Feriani, Abhisek Konar, Di Wu, Seowoo Jang, Xue Liu, Gregory Dudek
2023	J	`jnl`	Mixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Networks. CoRR Dun Yuan, Yujin Nam, Amal Feriani, Abhisek Konar, Di Wu, Seowoo Jang, Xue Liu, Gregory Dudek
2023	—	`conf`	Multi-Agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks. ICC Jikun Kang, Di Wu, Ju Wang, Ekram Hossain, Xue Liu, Gregory Dudek
2023	J	`jnl`	Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks. CoRR Jikun Kang, Di Wu, Ju Wang, Ekram Hossain, Xue Liu, Gregory Dudek
2023	J	`jnl`	On the Benefits of Two Dimensional Metric Learning. IEEE Trans. Knowl. Data Eng. Di Wu, Fan Zhou, Boyu Wang, Qicheng Lao, Chi Man Wong, Changjian Shui, Yuan Zhou, Feng Wan
2023	—	`conf`	On the Performance of Legendre State-Space Models in Short-Term Time Series Forecasting. CCECE Jiuqi Elise Zhang, Di Wu, Benoit Boulet
2023	—	`conf`	Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios. ICC Yi Tian, Jimmy Li, Di Wu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek
2023	J	`jnl`	Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios. CoRR Yi Tian Xu, Jimmy Li, Di Wu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek
2023	J	`jnl`	Realizing XR Applications Using 5G-Based 3D Holographic Communication and Mobile Edge Computing. CoRR Dun Yuan, Ekram Hossain, Di Wu, Xue Liu, Gregory Dudek
2023	J	`jnl`	Reinforcement learning for communication load balancing: approaches and challenges. Frontiers Comput. Sci. Di Wu, Jimmy Li, Amal Feriani, Yi Tian Xu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek
2023	—	`conf`	Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks. ICC Igor Kozlov, Dmitriy Rivkin, Wei-Di Chang, Di Wu, Xue Liu, Gregory Dudek
2023	J	`jnl`	Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks. CoRR Igor Kozlov, Dmitriy Rivkin, Wei-Di Chang, Di Wu, Xue Liu, Gregory Dudek
2023	J	`jnl`	Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL Approach. CoRR Xingshuai Huang, Di Wu, Benoit Boulet
2022	A*	`conf`	A Closer Look at Offline RL Agents. NeurIPS Yuwei Fu, Di Wu, Benoit Boulet
2022	C	`conf`	A Remaining Useful Life Prediction Method for Lithium-ion Battery Based on Temporal Transformer Network. ISM Wenbin Song, Di Wu, Weiming Shen, Benoît Boulet
2022	B	`conf`	Accurate Communication Traffic Forecasting with Multi-Source Adaptive Feature Boosting. GLOBECOM Chengming Hu, Ju Wang, Di Wu, Xue Liu, Gregory Dudek
2022	—	`conf`	Active Deep Multi-task Learning for Forecasting Short-Term Loads. ICC Di Wu, Michael Jenkin, Xue Liu, Gregory Dudek
2022	B	`conf`	Attentive Knowledge Transfer for Short-term Load Forecasting. GLOBECOM Di Wu, Michael Jenkin, Yi Tian Xu, Xue Liu, Gregory Dudek
2022	J	`jnl`	Building Energy Management With Reinforcement Learning and Model Predictive Control: A Survey. IEEE Access Huiliang Zhang, Sayani Seal, Di Wu, François Bouffard, Benoit Boulet
2022	—	`conf`	Coordinated Load Balancing in Mobile Edge Computing Network: a Multi-Agent DRL Approach. ICC Manyou Ma, Di Wu, Yi Tian Xu, Jimmy Li, Seowoo Jang, Xue Liu, Gregory Dudek
2022	B	`conf`	Efficient Neural Data Compression for Machine Type Communications via Knowledge Distillation. GLOBECOM Mostafa Hussien, Yi Tian Xu, Di Wu, Xue Liu, Gregory Dudek
2022	J	`jnl`	Fidora: Robust WiFi-Based Indoor Localization via Unsupervised Domain Adaptation. IEEE Internet Things J. Xi Chen, Hang Li, Chenyi Zhou, Xue Liu, Di Wu, Gregory Dudek
2022	J	`jnl`	Gap Minimization for Knowledge Sharing and Transfer. CoRR Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton
2022	J	`jnl`	MetaEMS: A Meta Reinforcement Learning-based Control Framework for Building Energy Management System. CoRR Huiliang Zhang, Di Wu, Benoit Boulet
2022	J	`jnl`	Multiobjective Load Balancing for Multiband Downlink Cellular Networks: A Meta- Reinforcement Learning Approach. IEEE J. Sel. Areas Commun. Amal Feriani, Di Wu, Yi Tian Xu, Jimmy Li, Seowoo Jang, Ekram Hossain, Xue Liu, Gregory Dudek
2022	—	`conf`	On the Benefits of Transfer Learning and Reinforcement Learning for Electric Short-term Load Forecasting. iThings/GreenCom/CPSCom/SmartData/Cybermatics Yuwei Fu, Di Wu, Benoit Boulet
2022	A*	`conf`	Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting. AAAI Yuwei Fu, Di Wu, Benoit Boulet
2022	—	`conf`	Short-term Load Forecasting with Deep Boosting Transfer Regression. ICC Di Wu, Yi Tian Xu, Michael Jenkin, Ju Wang, Hang Li, Xue Liu, Gregory Dudek
2022	—	`conf`	Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection. CCECE Jiuqi Elise Zhang, Di Wu, Benoit Boulet
2022	J	`jnl`	Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection. CoRR Jiuqi Elise Zhang, Di Wu, Benoit Boulet
2022	—	`conf`	Traffic Scenario Clustering and Load Balancing with Distilled Reinforcement Learning Policies. ICC Jimmy Li, Di Wu, Yi Tian Xu, Tianyu Li, Seowoo Jang, Xue Liu, Gregory Dudek
2021	B	`conf`	AFB: Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting. GLOBECOM Chengming Hu, Xi Chen, Ju Wang, Hang Li, Jikun Kang, Yi Tian Xu, Xue Liu, Di Wu, Seowoo Jang, Intaik Park, Gregory Dudek
2021	—	`conf`	Characterization of Residential Electricity Customers via Deep Ensemble Learning. AI4KMES@IJCAI Weixuan Lin, Di Wu
2021	J	`jnl`	DAFI: WiFi-based Device-free Indoor Localization via Domain Adaptation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Hang Li, Xi Chen, Ju Wang, Di Wu, Xue Liu
2021	J	`jnl`	Data-driven Model Predictive and Reinforcement Learning Based Control for Building Energy Management: a Survey. CoRR Huiliang Zhang, Sayani Seal, Di Wu, Benoit Boulet, François Bouffard, Géza Joós
2021	—	`conf`	Hierarchical Policy Learning for Hybrid Communication Load Balancing. ICC Jikun Kang, Xi Chen, Di Wu, Yi Tian Xu, Xue Liu, Gregory Dudek, Taeseop Lee, Intaik Park
2021	B	`conf`	Learning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform. GLOBECOM Dmitriy Rivkin, David Meger, Di Wu, Xi Chen, Xue Liu, Gregory Dudek
2021	B	`conf`	Load Balancing for Communication Networks via Data-Efficient Deep Reinforcement Learning. GLOBECOM 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
2021	J	`jnl`	ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control. CoRR Xingshuai Huang, Di Wu, Michael Jenkin, Benoit Boulet
2021	B	`conf`	One for All: Traffic Prediction at Heterogeneous 5G Edge with Data-Efficient Transfer Learning. GLOBECOM Xi Chen, Ju Wang, Hang Li, Yi Tian Xu, Di Wu, Xue Liu, Gregory Dudek, Taeseop Lee, Intaik Park
2021	A*	`conf`	Optimizing Cellular Networks via Continuously Moving Base Stations on Road Networks. ICRA Yogesh A. Girdhar, Dmitriy Rivkin, Di Wu, Michael Jenkin, Xue Liu, Gregory Dudek
2021	A*	`conf`	Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks. IJCAI Weixuan Lin, Di Wu
2021	—	`conf`	Residential Short-Term Load Forecasting via Meta Learning and Domain Augmentation. AI4KMES@IJCAI Di Wu, Can Cui, Benoit Boulet
2021	J	`jnl`	Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks. IEEE Trans. Smart Grid Weixuan Lin, Di Wu, Benoit Boulet
2021	J	`jnl`	Time Series Anomaly Detection for Smart Grids: A Survey. CoRR Jiuqi Elise Zhang, Di Wu, Benoit Boulet
2020	A*	`conf`	FiDo: Ubiquitous Fine-Grained WiFi-based Localization for Unlabelled Users via Domain Adaptation. WWW Xi Chen, Hang Li, Chenyi Zhou, Xue Liu, Di Wu, Gregory Dudek
2020	J	`jnl`	Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting. IEEE Trans. Smart Grid Di Wu, Boyu Wang, Doina Precup, Benoit Boulet
2017	—	`conf`	Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting. ECML/PKDD (3) Di Wu, Boyu Wang, Doina Precup, Benoit Boulet