Sparse Big Data for Vehicular Network Traffic Flow Estimation: A Machine Learning Approach. - Jianzhe Xue; Tianqi Zhang; Wen Wu 003; Haibo Zhou; Xuemin Shen (GLOBECOM, 2022)

A Grasshopper Optimization Algorithm for Fault Diagnosis in Ultra-Dense LEO satellite networks. - Wenjing Tang; Jiwei Zhao; Jianzhe Xue; Ting Ma 004; Haibo Zhou (ICCC, 2022)

Dynamic Radio Resource Slicing for Service-Oriented 5G/B5G C-V2X Networks. - Tianqi Zhang; Jianzhe Xue; Yunting Xu; Kai Yu 010; Haibo Zhou (ICCC, 2022)

An Effective Capacity Empowered Resource Allocation Approach in Low-Latency C-V2X. - Yicheng Xie; Kai Yu 010; Zhixuan Tang; Luofang Jiao; Jianzhe Xue; Haibo Zhou (WCSP, 2022)

Low-Cost Traffic Perception for Road Detector Data Estimation: A Deep Learning Approach. - Caoyi Zha; Jianzhe Xue; Qinghong Shen; Haibo Zhou (WCSP, 2022)

Joint User Association and Base Station Sleeping Scheme for Uplink Fully-Decoupled RAN. - Yu Sun 032; Bo Cheng 012; Kai Yu 010; Jiwei Zhao; Jianzhe Xue; Yuan Wu 001; Haibo Zhou (ICC, 2023)

Deep Reinforcement Learning Enabled Power Allocation for Multi-Connectivity C-V2X Downlink. - Jianzhe Xue; Kai Yu 010; Tianqi Zhang; Haibo Zhou; Xuemin Sherman Shen (PIMRC, 2023)

Multi-Connectivity Mobility Management in Downlink FD-RAN: A Learning Based Approach. - Tianqi Zhang; Jianzhe Xue; Jiwei Zhao; Jiacheng Chen; Haibo Zhou; Xuemin Sherman Shen (PIMRC, 2023)

Evolution of RAN Architectures Toward 6G: Motivation, Development, and Enabling Technologies. - Jiacheng Chen; Xiaohu Liang; Jianzhe Xue; Yu Sun 032; Haibo Zhou; Xuemin Shen (IEEE Commun. Surv. Tutorials, 2024)

Spatial-Temporal Generative AI for Traffic Flow Estimation with Sparse Data of Connected Vehicles. - Jianzhe Xue; Yunting Xu; Dongcheng Yuan; Caoyi Zha; Hongyang Du; Haibo Zhou; Dusit Niyato (CoRR, 2024)

ST-Mamba: Spatial-Temporal Mamba for Traffic Flow Estimation Recovery using Limited Data. - Doncheng Yuan; Jianzhe Xue; Jinshan Su; Wenchao Xu 001; Haibo Zhou (CoRR, 2024)

Revolutionizing QoE-Driven Network Management with Digital Agent Technology in 6G. - Xuemin Shen; Xinyu Huang; Jianzhe Xue; Conghao Zhou; Xiufang Shi; Weihua Zhuang (CoRR, 2024)

Sparse Mobile Crowdsensing for Cost-Effective Traffic State Estimation With Spatio-Temporal Transformer Graph Neural Network. - Jianzhe Xue; Yunting Xu; Wen Wu 003; Tianqi Zhang; Qinghong Shen; Haibo Zhou; Weihua Zhuang (IEEE Internet Things J., 2024)

Cooperative Deep Reinforcement Learning Enabled Power Allocation for Packet Duplication URLLC in Multi-Connectivity Vehicular Networks. - Jianzhe Xue; Kai Yu 010; Tianqi Zhang; Haibo Zhou; Lian Zhao; Xuemin Shen (IEEE Trans. Mob. Comput., 2024)

Toward Handover-Free Mobility Management in FD-RAN: Architecture, Challenges, and Solutions. - Tianqi Zhang; Yunting Xu; Jiwei Zhao; Jianzhe Xue; Jiacheng Chen; Haibo Zhou; Lian Zhao (IEEE Netw., 2024)

LOSEC: Local Semantic Capture Empowered Large Time Series Model for IoT-Enabled Data Centers. - Yu Sun 032; Haibo Zhou; Bo Cheng 012; Jinan Li; Jianzhe Xue; Tianqi Zhang; Yunting Xu (IEEE Internet Things J., 2025)

Large AI Model for Delay-Doppler Domain Channel Prediction in 6G OTFS-Based Vehicular Networks. - Jianzhe Xue; Dongcheng Yuan; Zhanxi Ma; Tiankai Jiang; Yu Sun 032; Haibo Zhou; Xuemin Shen (CoRR, 2025)

Handover-Free Multi-Connectivity Mobility Management for Downlink FD-RAN: A Hierarchical DRL-Based Approach. - Tianqi Zhang; Jianzhe Xue; Yunting Xu; Luofang Jiao; Jiacheng Chen; Haibo Zhou; Lian Zhao (IEEE Trans. Cogn. Commun. Netw., 2025)

Enabling Data-Driven OTFS Modulation for 6G Hyper Reliable High-Mobility Communications. - Jianzhe Xue; Tiankai Jiang; Haohai Huang; Zitian Zhang; Haibo Zhou; Xuemin Shen (IEEE Wirel. Commun., 2025)

Experience-Centric Resource Management in ISAC Networks: A Digital Agent-Assisted Approach. - Xinyu Huang; Yixiao Zhang; Yingying Pei; Jianzhe Xue; Xuemin Shen (CoRR, 2025)