Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting. - Di Wu 044; Boyu Wang 004; Doina Precup; Benoit Boulet (ECML/PKDD (3), 2017)

FiDo: Ubiquitous Fine-Grained WiFi-based Localization for Unlabelled Users via Domain Adaptation. - Xi Chen 009; Hang Li; Chenyi Zhou; Xue Liu 001; Di Wu 044; Gregory Dudek (WWW, 2020)

Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting. - Di Wu 044; Boyu Wang 004; Doina Precup; Benoit Boulet (IEEE Trans. Smart Grid, 2020)

One for All: Traffic Prediction at Heterogeneous 5G Edge with Data-Efficient Transfer Learning. - Xi Chen 009; Ju Wang 003; Hang Li; Yi Tian Xu; Di Wu 044; Xue Liu 004; Gregory Dudek; Taeseop Lee; Intaik Park (GLOBECOM, 2021)

AFB: Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting. - Chengming Hu; Xi Chen 009; Ju Wang 003; Hang Li; Jikun Kang; Yi Tian Xu; Xue Liu 004; Di Wu 044; Seowoo Jang; Intaik Park; Gregory Dudek (GLOBECOM, 2021)

Learning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform. - Dmitriy Rivkin; David Meger; Di Wu 044; Xi Chen 009; Xue Liu 004; Gregory Dudek (GLOBECOM, 2021)

Load Balancing for Communication Networks via Data-Efficient Deep Reinforcement Learning. - Di Wu 044; Jikun Kang; Yi Tian Xu; Hang Li; Jimmy Li 001; Xi Chen 009; Dmitriy Rivkin; Michael Jenkin; Taeseop Lee; Intaik Park; Xue Liu 004; Gregory Dudek (GLOBECOM, 2021)

Hierarchical Policy Learning for Hybrid Communication Load Balancing. - Jikun Kang; Xi Chen 009; Di Wu 044; Yi Tian Xu; Xue Liu 004; Gregory Dudek; Taeseop Lee; Intaik Park (ICC, 2021)

Optimizing Cellular Networks via Continuously Moving Base Stations on Road Networks. - Yogesh A. Girdhar; Dmitriy Rivkin; Di Wu 044; Michael Jenkin; Xue Liu 004; Gregory Dudek (ICRA, 2021)

Residential Short-Term Load Forecasting via Meta Learning and Domain Augmentation. - Di Wu 044; Can Cui; Benoit Boulet (AI4KMES@IJCAI, 2021)

Characterization of Residential Electricity Customers via Deep Ensemble Learning. - Weixuan Lin; Di Wu 044 (AI4KMES@IJCAI, 2021)

Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks. - Weixuan Lin; Di Wu 044 (IJCAI, 2021)

Data-driven Model Predictive and Reinforcement Learning Based Control for Building Energy Management: a Survey. - Huiliang Zhang; Sayani Seal; Di Wu 044; Benoit Boulet; François Bouffard; Géza Joós (CoRR, 2021)

Time Series Anomaly Detection for Smart Grids: A Survey. - Jiuqi Elise Zhang; Di Wu 044; Benoit Boulet (CoRR, 2021)

ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control. - Xingshuai Huang; Di Wu 044; Michael Jenkin; Benoit Boulet (CoRR, 2021)

DAFI: WiFi-based Device-free Indoor Localization via Domain Adaptation. - Hang Li; Xi Chen 009; Ju Wang 003; Di Wu 044; Xue Liu 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks. - Weixuan Lin; Di Wu 044; Benoit Boulet (IEEE Trans. Smart Grid, 2021)

Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting. - Yuwei Fu; Di Wu 044; Benoit Boulet (AAAI, 2022)

Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection. - Jiuqi Elise Zhang; Di Wu 044; Benoit Boulet (CCECE, 2022)

Accurate Communication Traffic Forecasting with Multi-Source Adaptive Feature Boosting. - Chengming Hu; Ju Wang 003; Di Wu 044; Xue Liu 004; Gregory Dudek (GLOBECOM, 2022)

Efficient Neural Data Compression for Machine Type Communications via Knowledge Distillation. - Mostafa Hussien; Yi Tian Xu; Di Wu 044; Xue Liu 004; Gregory Dudek (GLOBECOM, 2022)

Attentive Knowledge Transfer for Short-term Load Forecasting. - Di Wu 044; Michael Jenkin; Yi Tian Xu; Xue Liu 004; Gregory Dudek (GLOBECOM, 2022)

Traffic Scenario Clustering and Load Balancing with Distilled Reinforcement Learning Policies. - Jimmy Li 001; Di Wu 044; Yi Tian Xu; Tianyu Li; Seowoo Jang; Xue Liu 004; Gregory Dudek (ICC, 2022)

Coordinated Load Balancing in Mobile Edge Computing Network: a Multi-Agent DRL Approach. - Manyou Ma; Di Wu 044; Yi Tian Xu; Jimmy Li 001; Seowoo Jang; Xue Liu 004; Gregory Dudek (ICC, 2022)

Active Deep Multi-task Learning for Forecasting Short-Term Loads. - Di Wu 044; Michael Jenkin; Xue Liu 004; Gregory Dudek (ICC, 2022)

Short-term Load Forecasting with Deep Boosting Transfer Regression. - Di Wu 044; Yi Tian Xu; Michael Jenkin; Ju Wang 003; Hang Li; Xue Liu 004; Gregory Dudek (ICC, 2022)

A Remaining Useful Life Prediction Method for Lithium-ion Battery Based on Temporal Transformer Network. - Wenbin Song; Di Wu 044; Weiming Shen 001; Benoît Boulet (ISM, 2022)

On the Benefits of Transfer Learning and Reinforcement Learning for Electric Short-term Load Forecasting. - Yuwei Fu; Di Wu 044; Benoit Boulet (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2022)

A Closer Look at Offline RL Agents. - Yuwei Fu; Di Wu 044; Benoit Boulet (NeurIPS, 2022)

Building Energy Management With Reinforcement Learning and Model Predictive Control: A Survey. - Huiliang Zhang; Sayani Seal; Di Wu 044; François Bouffard; Benoit Boulet (IEEE Access, 2022)

Gap Minimization for Knowledge Sharing and Transfer. - Boyu Wang 004; Jorge A. Mendez; Changjian Shui; Fan Zhou 006; Di Wu 044; Christian Gagné 001; Eric Eaton (CoRR, 2022)

MetaEMS: A Meta Reinforcement Learning-based Control Framework for Building Energy Management System. - Huiliang Zhang; Di Wu 044; Benoit Boulet (CoRR, 2022)

Fidora: Robust WiFi-Based Indoor Localization via Unsupervised Domain Adaptation. - Xi Chen 009; Hang Li; Chenyi Zhou; Xue Liu 004; Di Wu 044; Gregory Dudek (IEEE Internet Things J., 2022)

Multiobjective Load Balancing for Multiband Downlink Cellular Networks: A Meta- Reinforcement Learning Approach. - Amal Feriani; Di Wu 044; Yi Tian Xu; Jimmy Li 001; Seowoo Jang; Ekram Hossain 001; Xue Liu 004; Gregory Dudek (IEEE J. Sel. Areas Commun., 2022)

Analyzing the Benefits of Data Augmentation for Smart Grid Anomaly Detection and Forecasting. - Xijuan Sun; Di Wu 044; Benoit Boulet (CCECE, 2023)

On the Performance of Legendre State-Space Models in Short-Term Time Series Forecasting. - Jiuqi Elise Zhang; Di Wu 044; Benoit Boulet (CCECE, 2023)

AdaTeacher: Adaptive Multi-Teacher Weighting for Communication Load Forecasting. - Chengming Hu; Ju Wang 003; Di Wu 044; Yan Xin; Charlie Zhang 002; Xue Liu 004; Gregory Dudek (GLOBECOM, 2023)

Energy Saving in Cellular Wireless Networks via Transfer Deep Reinforcement Learning. - Di Wu 044; Yi Tian Xu; Michael Jenkin; Seowoo Jang; Ekram Hossain 001; Xue Liu 004; Gregory Dudek (GLOBECOM, 2023)

Learning to Adapt: Communication Load Balancing via Adaptive Deep Reinforcement Learning. - Di Wu 044; Yi Tian Xu; Jimmy Li 001; Michael Jenkin; Ekram Hossain 001; Seowoo Jang; Xin Yang; Charlie Zhang 002; Xue Liu 004; Gregory Dudek (GLOBECOM, 2023)

Multi-Agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks. - Jikun Kang; Di Wu 044; Ju Wang 003; Ekram Hossain 001; Xue Liu 004; Gregory Dudek (ICC, 2023)

Communication Load Balancing via Efficient Inverse Reinforcement Learning. - Abhisek Konar; Di Wu 044; Yi Tian Xu; Seowoo Jang; Steve Liu; Gregory Dudek (ICC, 2023)

Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks. - Igor Kozlov; Dmitriy Rivkin; Wei-Di Chang; Di Wu 044; Xue Liu 004; Gregory Dudek (ICC, 2023)

Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios. - Yi Tian; Jimmy Li 001; Di Wu 044; Michael Jenkin; Seowoo Jang; Xue Liu 004; Gregory Dudek (ICC, 2023)

Mixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Networks. - Dun Yuan; Yujin Nam; Amal Feriani; Abhisek Konar; Di Wu 044; Seowoo Jang; Xue Liu 004; Gregory Dudek (ICC, 2023)

Adaptive Aggregation for Safety-Critical Control. - Huiliang Zhang; Di Wu 044; Benoit Boulet (CoRR, 2023)

Anomaly Detection with Ensemble of Encoder and Decoder. - Xijuan Sun; Di Wu 044; Arnaud Zinflou; Benoit Boulet (CoRR, 2023)

Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios. - Yi Tian Xu; Jimmy Li 001; Di Wu 044; Michael Jenkin; Seowoo Jang; Xue Liu 004; Gregory Dudek (CoRR, 2023)

CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation. - Amal Feriani; Di Wu 044; Steve Liu; Gregory Dudek (CoRR, 2023)

Realizing XR Applications Using 5G-Based 3D Holographic Communication and Mobile Edge Computing. - Dun Yuan; Ekram Hossain 001; Di Wu 044; Xue Liu 004; Gregory Dudek (CoRR, 2023)

Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL Approach. - Xingshuai Huang; Di Wu 044; Benoit Boulet (CoRR, 2023)

Reinforcement learning for communication load balancing: approaches and challenges. - Di Wu 044; Jimmy Li 001; Amal Feriani; Yi Tian Xu; Michael Jenkin; Seowoo Jang; Xue Liu 004; Gregory Dudek (Frontiers Comput. Sci., 2023)

Gap Minimization for Knowledge Sharing and Transfer. - Boyu Wang 004; Jorge A. Mendez; Changjian Shui; Fan Zhou 006; Di Wu 044; Gezheng Xu; Christian Gagné 001; Eric Eaton (J. Mach. Learn. Res., 2023)

On the Benefits of Two Dimensional Metric Learning. - Di Wu 044; Fan Zhou 006; Boyu Wang 004; Qicheng Lao; Chi Man Wong; Changjian Shui; Yuan Zhou 006; Feng Wan (IEEE Trans. Knowl. Data Eng., 2023)

Efficient Residential Electric Load Forecasting via Transfer Learning and Graph Neural Networks. - Di Wu 044; Weixuan Lin (IEEE Trans. Smart Grid, 2023)

MetaProbformer for Charging Load Probabilistic Forecasting of Electric Vehicle Charging Stations. - Xingshuai Huang; Di Wu 044; Benoit Boulet (IEEE Trans. Intell. Transp. Syst., 2023)

Sample-Efficient Meta-RL for Traffic Signal Control. - Xingshuai Huang; Di Wu 044; Michael Jenkin; Benoit Boulet (CCECE, 2024)

Multimode Fiber Image Transmission via Cross-Modal Knowledge distillation. - Weixuan Lin; Di Wu 044; Benoit Boulet (CCECE, 2024)

Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-Based RAN Optimization. - Jimmy Li 001; Igor Kozlov; Di Wu 044; Xue Liu 004; Gregory Dudek (ICC Workshops, 2024)

Surrogate Data Source Transfer (SDST): An Efficient Transfer Learning Approach for Time Series Forecasting. - Mostafa Hussien; Mohamed Shoaib; Di Wu 044; Kim Khoa Nguyen; Mohamed Cheriet (ICC, 2024)

Accelerating Digital Twin Calibration with Warm-Start Bayesian Optimization. - Abhisek Konar; Amal Feriani; Di Wu 044; Seowoo Jang; Xue Liu 004; Gregory Dudek (ICC, 2024)

Probabilistic Mobility Load Balancing for Multi-Band 5G and Beyond Networks. - Saria Al Laham; Di Wu 044; Ekram Hossain 001; Xue Liu 004; Gregory Dudek (ICC Workshops, 2024)

Adaptive Dynamic Programming for Energy-Efficient Base Station Cell Switching. - Junliang Luo; Yi Tian Xu; Di Wu 044; Michael Jenkin; Xue Liu 004; Gregory Dudek (ICC Workshops, 2024)

Optimizing Energy Saving for Wireless Networks Via Offline Decision Transformer. - Yi Tian Xu; Di Wu 044; Michael Jenkin; Seowoo Jang; Xue Liu 004; Gregory Dudek (ICC, 2024)

FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning. - Yuwei Fu; Haichao Zhang; Di Wu 044; Wei Xu; Benoit Boulet (ICML, 2024)

Towards Enhanced Fairness and Sample Efficiency in Traffic Signal Control. - Xingshuai Huang; Di Wu 044; Michael Jenkin; Benoit Boulet (IROS, 2024)

Trajectory Prediction for Autonomous Driving Using Agent-Interaction Graph Embedding. - Jilan Samiuddin; Benoit Boulet; Di Wu 044 (ITSC, 2024)

Robot Policy Learning with Temporal Optimal Transport Reward. - Yuwei Fu; Haichao Zhang; Di Wu 044; Wei Xu; Benoit Boulet (NeurIPS, 2024)

Hallucination Detection and Hallucination Mitigation: An Investigation. - Junliang Luo; Tianyu Li; Di Wu 044; Michael Jenkin; Steve Liu; Gregory Dudek (CoRR, 2024)

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. - Hao Zhou 013; Chengming Hu; Ye Yuan 017; Yufei Cui; Yili Jin 001; Can Chen 005; Haolun Wu; Dun Yuan; Li Jiang; Di Wu 044; Xue Liu 004; Charlie Jianzhong Zhang; et al. (CoRR, 2024)

Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control. - Hao Zhou 013; Chengming Hu; Dun Yuan; Ye Yuan 017; Di Wu 044; Xue Liu 004; Charlie Jianzhong Zhang (CoRR, 2024)

Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning. - Hao Zhou 013; Chengming Hu; Dun Yuan; Ye Yuan 017; Di Wu 044; Xue Liu 004; Zhu Han 001; Charlie Zhang 002 (CoRR, 2024)

Self-Refined Generative Foundation Models for Wireless Traffic Prediction. - Chengming Hu; Hao Zhou 013; Di Wu 044; Xi Chen 009; Jun Yan 007; Xue Liu 001 (CoRR, 2024)

An Online Self-learning Graph-based Lateral Controller for Self-Driving Cars. - Jilan Samiuddin; Benoit Boulet; Di Wu 044 (CoRR, 2024)

Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective. - Hao Zhou 013; Chengming Hu; Dun Yuan; Ye Yuan 017; Di Wu 044; Xi Chen 009; Hina Tabassum; Xue Liu 001 (CoRR, 2024)

An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles. - Jilan Samiuddin; Benoit Boulet; Di Wu 044 (IEEE Trans. Intell. Veh., 2024)

MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems. - Jiuqi Elise Zhang; François Mirallès; Raphaël Rousseau-Rizzi; Arnaud Zinflou; Di Wu 044; Benoit Boulet (CLeaR, 2025)

Goal-Conditioned Data Augmentation for Offline Reinforcement Learning. - Xingshuai Huang; Di Wu 044; Benoit Boulet (Trans. Mach. Learn. Res., 2025)

DRDT3: Diffusion-Refined Decision Test-Time Training Model. - Xingshuai Huang; Di Wu 044; Benoit Boulet (CoRR, 2025)

OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models. - Chongren Sun; Yuran Li; Di Wu 044; Benoit Boulet (CoRR, 2025)

Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation. - Dun Yuan; Hao Zhou 013; Di Wu 044; Xue Liu 004; Hao Chen 010; Yan Xin; Jianzhong Zhang 002 (CoRR, 2025)

Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-Context Learning. - Hao Zhou 013; Chengming Hu; Dun Yuan; Ye Yuan 017; Di Wu 044; Xue Liu 001; Zhu Han 001; Jianzhong Zhang 002 (IEEE Wirel. Commun. Lett., 2025)

Leveraging LLMs as Meta-Judges: A Multi-Agent Framework for Evaluating LLM Judgments. - Yuran Li; Jama Hussein Mohamud; Chongren Sun; Di Wu 044; Benoit Boulet (CoRR, 2025)

Leveraging Multivariate Long-Term History Representation for Time Series Forecasting. - Huiliang Zhang; Di Wu 044; Arnaud Zinflou; Stephane Dellacherie; Mouhamadou Makhtar Dione; Benoit Boulet (CoRR, 2025)

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. - Hao Zhou 013; Chengming Hu; Ye Yuan 017; Yufei Cui; Yili Jin 001; Can Chen 005; Haolun Wu; Dun Yuan; Li Jiang; Di Wu 044; Xue (Steve) Liu; Jianzhong Zhang 002; et al. (IEEE Commun. Surv. Tutorials, 2025)

Transaction Profiling and Address Role Inference in Tokenized U.S. Treasuries. - Junliang Luo; Katrin Tinn; Samuel Ferreira Duran; Di Wu 044; Xue Liu 001 (CoRR, 2025)

Time Series Forecasting via Reinforcement-Learning-Based Model Combination. - Yuwei Fu; Di Wu 044; Benoit Boulet; Arnaud Zinflou (IEEE Internet Things J., 2025)