PresSense: Passive Respiration Sensing via Ambient WiFi Signals in Noisy Environments. - Yi Tian Xu; Xi Chen 009; Xue Liu 004; David Meger; Gregory Dudek (IROS, 2020)

The Answer Is Blowing in the Wind: Directed Air Flow for Socially-acceptable Human-Robot Interaction. - Vincent Zhang; Natalie Friedman; David Goedicke; Dmitriy Rivkin; Michael Jenkin; Xue Liu 004; Gregory Dudek (ROBOVIS, 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)

UWB-Assisted Fast mmWave Beam Alignment. - Ju Wang 003; Xi Chen 009; Xue Liu 004; Gregory Dudek (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)

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)

A Generalized Load Balancing Policy With Multi-Teacher Reinforcement Learning. - Jikun Kang; Ju Wang 003; Chengming Hu; 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)

Data-Efficient Communication Traffic Prediction With Deep Transfer Learning. - Hang Li; Ju Wang 003; Xi Chen 009; Xue Liu 004; Gregory Dudek (ICC, 2022)

Communication Traffic Prediction with Continual Knowledge Distillation. - Hang Li; Ju Wang 003; Chengming Hu; Xi Chen 009; Xue Liu 004; Seowoo Jang; Gregory Dudek (ICC, 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)

Behaviour Learning with Adaptive Motif Discovery and Interacting Multiple Model. - Hanqing Zhao; Travis Manderson; Hao Zhang; Xue Liu 004; Gregory Dudek (IROS, 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)

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)

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)

ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence. - Dmitriy Rivkin; Gregory Dudek; Nikhil Kakodkar; David Meger; Oliver Limoyo; Michael Jenkin; Xue Liu 004; Francois Robert Hogan (ICRA, 2023)

ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence. - Dmitriy Rivkin; Gregory Dudek; Nikhil Kakodkar; David Meger; Oliver Limoyo; Xue Liu 004; Francois Robert Hogan (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)

Think Before You Act: Decision Transformers with Internal Working Memory. - Jikun Kang; Romain Laroche; Xindi Yuan; Adam Trischler; Xue Liu 004; Jie Fu (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)

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)

Learning to Extract Structured Entities Using Language Models. - Haolun Wu; Ye Yuan 017; Liana Mikaelyan; Alexander Meulemans; Xue Liu 004; James Hensman; Bhaskar Mitra 001 (EMNLP, 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)

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)

PEOPLEx: PEdestrian Opportunistic Positioning LEveraging IMU, UWB, BLE and WiFi. - Pierre-Yves Lajoie; Bobak Hamed Baghi; Sachini Herath; Francois Robert Hogan; Xue Liu 004; Gregory Dudek (ICC, 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)

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)

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)

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management. - Yuyan Lin; Hao Zhou 013; Chengming Hu; Xue Liu 004; Hao Chen 010; Yan Xin; Jianzhong Zhang 002 (CoRR, 2025)