Di Wu

According to our database, Di Wu authored at least 76 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Goal-Conditioned Data Augmentation for Offline Reinforcement Learning.

Xingshuai Huang, Di Wu, Benoit Boulet

CoRR, 2024

Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective.

Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xi Chen, Hina Tabassum, Xue Liu

CoRR, 2024

Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding.

Jilan Samiuddin, Benoit Boulet, Di Wu

CoRR, 2024

Robot Policy Learning with Temporal Optimal Transport Reward.

Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet

CoRR, 2024

An Online Self-learning Graph-based Lateral Controller for Self-Driving Cars.

Jilan Samiuddin, Benoit Boulet, Di Wu

CoRR, 2024

Self-Refined Generative Foundation Models for Wireless Traffic Prediction.

Chengming Hu, Hao Zhou, Di Wu, Xi Chen, Jun Yan, Xue Liu

CoRR, 2024

Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning.

Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Zhu Han, Charlie Zhang

CoRR, 2024

Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control.

Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Charlie Jianzhong Zhang

CoRR, 2024

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.

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

CoRR, 2024

An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles.

Jilan Samiuddin, Benoit Boulet, Di Wu

CoRR, 2024

Hallucination Detection and Hallucination Mitigation: An Investigation.

Junliang Luo, Tianyu Li, Di Wu, Michael Jenkin, Steve Liu, Gregory Dudek

CoRR, 2024

Towards Enhanced Fairness and Sample Efficiency in Traffic Signal Control.

Xingshuai Huang, Di Wu, Michael Jenkin, Benoit Boulet

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning.

Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Optimizing Energy Saving for Wireless Networks Via Offline Decision Transformer.

Yi Tian Xu, Di Wu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications, 2024

Adaptive Dynamic Programming for Energy-Efficient Base Station Cell Switching.

Junliang Luo, Yi Tian Xu, Di Wu, Michael Jenkin, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications Workshops, 2024

Probabilistic Mobility Load Balancing for Multi-Band 5G and Beyond Networks.

Saria Al Laham, Di Wu, Ekram Hossain, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications Workshops, 2024

Accelerating Digital Twin Calibration with Warm-Start Bayesian Optimization.

Abhisek Konar, Amal Feriani, Di Wu, Seowoo Jang, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications, 2024

Surrogate Data Source Transfer (SDST): An Efficient Transfer Learning Approach for Time Series Forecasting.

Mostafa Hussien, Mohamed Shoaib, Di Wu, Kim Khoa Nguyen, Mohamed Cheriet

Proceedings of the IEEE International Conference on Communications, 2024

Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-Based RAN Optimization.

Jimmy Li, Igor Kozlov, Di Wu, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications Workshops, 2024

Multimode Fiber Image Transmission via Cross-Modal Knowledge distillation.

Weixuan Lin, Di Wu, Benoit Boulet

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024

Sample-Efficient Meta-RL for Traffic Signal Control.

Xingshuai Huang, Di Wu, Michael Jenkin, Benoit Boulet

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024

2023

MetaProbformer for Charging Load Probabilistic Forecasting of Electric Vehicle Charging Stations.

Xingshuai Huang, Di Wu, Benoit Boulet

IEEE Trans. Intell. Transp. Syst., October, 2023

Efficient Residential Electric Load Forecasting via Transfer Learning and Graph Neural Networks.

Di Wu, Weixuan Lin

IEEE Trans. Smart Grid, May, 2023

On the Benefits of Two Dimensional Metric Learning.

Di Wu, Fan Zhou, Boyu Wang, Qicheng Lao, Chi Man Wong, Changjian Shui, Yuan Zhou, Feng Wan

IEEE Trans. Knowl. Data Eng., 2023

Gap Minimization for Knowledge Sharing and Transfer.

Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton

J. Mach. Learn. Res., 2023

Reinforcement learning for communication load balancing: approaches and challenges.

Di Wu, Jimmy Li, Amal Feriani, Yi Tian Xu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek

Frontiers Comput. Sci., 2023

Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL Approach.

Xingshuai Huang, Di Wu, Benoit Boulet

CoRR, 2023

Realizing XR Applications Using 5G-Based 3D Holographic Communication and Mobile Edge Computing.

Dun Yuan, Ekram Hossain, Di Wu, Xue Liu, Gregory Dudek

CoRR, 2023

CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation.

Amal Feriani, Di Wu, Steve Liu, Gregory Dudek

CoRR, 2023

Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios.

Yi Tian Xu, Jimmy Li, Di Wu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek

CoRR, 2023

Anomaly Detection with Ensemble of Encoder and Decoder.

Xijuan Sun, Di Wu, Arnaud Zinflou, Benoit Boulet

CoRR, 2023

Adaptive Aggregation for Safety-Critical Control.

Huiliang Zhang, Di Wu, Benoit Boulet

CoRR, 2023

A Remaining Useful Life Prediction Method for Lithium-ion Battery Based on Temporal Transformer Network.

Wenbin Song, Di Wu, Weiming Shen, Benoît Boulet

Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 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, Seowoo Jang, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications, 2023

Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios.

Yi Tian, Jimmy Li, Di Wu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications, 2023

Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks.

Igor Kozlov, Dmitriy Rivkin, Wei-Di Chang, Di Wu, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications, 2023

Communication Load Balancing via Efficient Inverse Reinforcement Learning.

Abhisek Konar, Di Wu, Yi Tian Xu, Seowoo Jang, Steve Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications, 2023

Multi-Agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks.

Jikun Kang, Di Wu, Ju Wang, Ekram Hossain, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications, 2023

Learning to Adapt: Communication Load Balancing via Adaptive Deep Reinforcement Learning.

Di Wu, Yi Tian Xu, Jimmy Li, Michael Jenkin, Ekram Hossain, Seowoo Jang, Xin Yang, Charlie Zhang, Xue Liu, Gregory Dudek

Proceedings of the IEEE Global Communications Conference, 2023

Energy Saving in Cellular Wireless Networks via Transfer Deep Reinforcement Learning.

Di Wu, Yi Tian Xu, Michael Jenkin, Seowoo Jang, Ekram Hossain, Xue Liu, Gregory Dudek

Proceedings of the IEEE Global Communications Conference, 2023

AdaTeacher: Adaptive Multi-Teacher Weighting for Communication Load Forecasting.

Chengming Hu, Ju Wang, Di Wu, Yan Xin, Charlie Zhang, Xue Liu, Gregory Dudek

Proceedings of the IEEE Global Communications Conference, 2023

On the Performance of Legendre State-Space Models in Short-Term Time Series Forecasting.

Jiuqi Elise Zhang, Di Wu, Benoit Boulet

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

Analyzing the Benefits of Data Augmentation for Smart Grid Anomaly Detection and Forecasting.

Xijuan Sun, Di Wu, Benoit Boulet

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

2022

Multiobjective Load Balancing for Multiband Downlink Cellular Networks: A Meta- Reinforcement Learning Approach.

Amal Feriani, Di Wu, Yi Tian Xu, Jimmy Li, Seowoo Jang, Ekram Hossain, Xue Liu, Gregory Dudek

IEEE J. Sel. Areas Commun., 2022

Fidora: Robust WiFi-Based Indoor Localization via Unsupervised Domain Adaptation.

Xi Chen, Hang Li, Chenyi Zhou, Xue Liu, Di Wu, Gregory Dudek

IEEE Internet Things J., 2022

MetaEMS: A Meta Reinforcement Learning-based Control Framework for Building Energy Management System.

Huiliang Zhang, Di Wu, Benoit Boulet

CoRR, 2022

Gap Minimization for Knowledge Sharing and Transfer.

Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton

CoRR, 2022

Building Energy Management With Reinforcement Learning and Model Predictive Control: A Survey.

Huiliang Zhang, Sayani Seal, Di Wu, François Bouffard, Benoit Boulet

IEEE Access, 2022

A Closer Look at Offline RL Agents.

Yuwei Fu, Di Wu, Benoit Boulet

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Benefits of Transfer Learning and Reinforcement Learning for Electric Short-term Load Forecasting.

Yuwei Fu, Di Wu, Benoit Boulet

Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

Short-term Load Forecasting with Deep Boosting Transfer Regression.

Di Wu, Yi Tian Xu, Michael Jenkin, Ju Wang, Hang Li, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications, 2022

Active Deep Multi-task Learning for Forecasting Short-Term Loads.

Di Wu, Michael Jenkin, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications, 2022

Coordinated Load Balancing in Mobile Edge Computing Network: a Multi-Agent DRL Approach.

Manyou Ma, Di Wu, Yi Tian Xu, Jimmy Li, Seowoo Jang, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications, 2022

Traffic Scenario Clustering and Load Balancing with Distilled Reinforcement Learning Policies.

Jimmy Li, Di Wu, Yi Tian Xu, Tianyu Li, Seowoo Jang, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Communications, 2022

Attentive Knowledge Transfer for Short-term Load Forecasting.

Di Wu, Michael Jenkin, Yi Tian Xu, Xue Liu, Gregory Dudek

Proceedings of the IEEE Global Communications Conference, 2022

Efficient Neural Data Compression for Machine Type Communications via Knowledge Distillation.

Mostafa Hussien, Yi Tian Xu, Di Wu, Xue Liu, Gregory Dudek

Proceedings of the IEEE Global Communications Conference, 2022

Accurate Communication Traffic Forecasting with Multi-Source Adaptive Feature Boosting.

Chengming Hu, Ju Wang, Di Wu, Xue Liu, Gregory Dudek

Proceedings of the IEEE Global Communications Conference, 2022

Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection.

Jiuqi Elise Zhang, Di Wu, Benoit Boulet

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting.

Yuwei Fu, Di Wu, Benoit Boulet

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks.

Weixuan Lin, Di Wu, Benoit Boulet

IEEE Trans. Smart Grid, 2021

DAFI: WiFi-based Device-free Indoor Localization via Domain Adaptation.

Hang Li, Xi Chen, Ju Wang, Di Wu, Xue Liu

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control.

Xingshuai Huang, Di Wu, Michael Jenkin, Benoit Boulet

CoRR, 2021

Time Series Anomaly Detection for Smart Grids: A Survey.

Jiuqi Elise Zhang, Di Wu, Benoit Boulet

CoRR, 2021

Data-driven Model Predictive and Reinforcement Learning Based Control for Building Energy Management: a Survey.

Huiliang Zhang, Sayani Seal, Di Wu, Benoit Boulet, François Bouffard, Géza Joós

CoRR, 2021

Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks.

Weixuan Lin, Di Wu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Characterization of Residential Electricity Customers via Deep Ensemble Learning.

Weixuan Lin, Di Wu

Proceedings of the Artificial Intelligence for Knowledge Management, Energy, and Sustainability, 2021

Residential Short-Term Load Forecasting via Meta Learning and Domain Augmentation.

Di Wu, Can Cui, Benoit Boulet

Proceedings of the Artificial Intelligence for Knowledge Management, Energy, and Sustainability, 2021

Optimizing Cellular Networks via Continuously Moving Base Stations on Road Networks.

Yogesh A. Girdhar, Dmitriy Rivkin, Di Wu, Michael Jenkin, Xue Liu, Gregory Dudek

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Hierarchical Policy Learning for Hybrid Communication Load Balancing.

Jikun Kang, Xi Chen, Di Wu, Yi Tian Xu, Xue Liu, Gregory Dudek, Taeseop Lee, Intaik Park

Proceedings of the ICC 2021, 2021

Load Balancing for Communication Networks via Data-Efficient Deep Reinforcement Learning.

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

Proceedings of the IEEE Global Communications Conference, 2021

Learning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform.

Dmitriy Rivkin, David Meger, Di Wu, Xi Chen, Xue Liu, Gregory Dudek

Proceedings of the IEEE Global Communications Conference, 2021

AFB: Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting.

Chengming Hu, Xi Chen, Ju Wang, Hang Li, Jikun Kang, Yi Tian Xu, Xue Liu, Di Wu, Seowoo Jang, Intaik Park, Gregory Dudek

Proceedings of the IEEE Global Communications Conference, 2021

One for All: Traffic Prediction at Heterogeneous 5G Edge with Data-Efficient Transfer Learning.

Xi Chen, Ju Wang, Hang Li, Yi Tian Xu, Di Wu, Xue Liu, Gregory Dudek, Taeseop Lee, Intaik Park

Proceedings of the IEEE Global Communications Conference, 2021

2020

Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting.

Di Wu, Boyu Wang, Doina Precup, Benoit Boulet

IEEE Trans. Smart Grid, 2020

FiDo: Ubiquitous Fine-Grained WiFi-based Localization for Unlabelled Users via Domain Adaptation.

Xi Chen, Hang Li, Chenyi Zhou, Xue Liu, Di Wu, Gregory Dudek

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2017

Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting.

Di Wu, Boyu Wang, Doina Precup, Benoit Boulet

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017