Geolocation Prediction in Twitter Using Social Networks: A Critical Analysis and Review of Current Practice. - David Jurgens; Tyler Finethy; James McCorriston; Yi Tian Xu; Derek Ruths (ICWSM, 2015)

Human Motion Prediction Via Pattern Completion in Latent Representation Space. - Yi Tian Xu; Yaqiao Li; David Meger (CRV, 2019)

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)

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)

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)

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)

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)

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)

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)

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

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)

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)

Diversity-seeking Swap Games in Networks. - Yaqiao Li; Lata Narayanan; Jaroslav Opatrny; Yi Tian Xu (AAMAS, 2025)