Mobility-Aware Computation Offloading for Swarm Robotics using Deep Reinforcement Learning. - Xiucheng Wang; Hongzhi Guo (CCNC, 2021)

SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer. - Ziyou Ren; Nan Cheng; Ruijin Sun; Xiucheng Wang; Ning Lu 001; Wenchao Xu 001 (ICCSPA, 2022)

Digital Twin-Assisted Efficient Reinforcement Learning for Edge Task Scheduling. - Xiucheng Wang; Longfei Ma; Haocheng Li; Zhisheng Yin; Tom H. Luan; Nan Cheng (VTC Spring, 2022)

On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks. - Longfei Ma; Nan Cheng; Xiucheng Wang; Ruijin Sun; Ning Lu 001 (CoRR, 2022)

Joint Flying Relay Location and Routing Optimization for 6G UAV-IoT Networks: A Graph Neural Network-Based Approach. - Xiucheng Wang; Lianhao Fu; Nan Chen 006; Ruijin Sun; Tom H. Luan; Wei Quan 001; Khalid Aldubaikhy (Remote. Sens., 2022)

Effectively Heterogeneous Federated Learning: A Pairing and Split Learning Based Approach. - Jinglong Shen; Xiucheng Wang; Nan Cheng; Longfei Ma; Conghao Zhou; Yuan Zhang (GLOBECOM, 2023)

Label-Free Deep Learning Driven Secure Access Selection in Space-Air-Ground Integrated Networks. - Zhaowei Wang; Zhisheng Yin; Xiucheng Wang; Nan Cheng; Yuan Zhang 007; Tom H. Luan (GLOBECOM, 2023)

Interpretable and Secure Trajectory Optimization for UAV-Assisted Communication. - Yunhao Quan; Nan Cheng; Xiucheng Wang; Jinglong Shen; Longfei Ma; Zhisheng Yin (ICCC, 2023)

CNN-Based Synergetic Beamforming for Symbiotic Secure Transmissions in Integrated Satellite-Terrestrial Network. - Zhaowei Wang; Zhisheng Yin; Xiucheng Wang; Nan Cheng; Yunchao Song; Tom H. Luan (ICCT, 2023)

Imperfect Digital Twin Assisted Low Cost Reinforcement Training for Multi-UAV Networks. - Xiucheng Wang; Nan Cheng; Longfei Ma; Zhisheng Yin; Tom H. Luan; Ning Lu 001 (MetaCom, 2023)

Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach. - Xiucheng Wang; Nan Chen 006; Lianhao Fu; Wei Quan 001; Ruijin Sun; Yilong Hui; Tom H. Luan; Xuemin Sherman Shen (PIMRC, 2023)

Distilling Knowledge from Resource Management Algorithms to Neural Networks: A Unified Training Assistance Approach. - Longfei Ma; Nan Cheng; Xiucheng Wang; Zhisheng Yin; Haibo Zhou; Wei Quan 001 (VTC Fall, 2023)

Knowledge-Driven Multi-Agent Reinforcement Learning for Computation Offloading in Cybertwin-Enabled Internet of Vehicles. - Ruijin Sun; Xiao Yang; Nan Cheng; Xiucheng Wang; Changle Li (VTC Fall, 2023)

Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning. - Xiucheng Wang; Nan Cheng; Longfei Ma; Ruijin Sun; Rong Chai; Ning Lu 001 (CoRR, 2023)

Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach. - Xiucheng Wang; Nan Cheng; Lianhao Fu; Wei Quan 001; Ruijin Sun; Yilong Hui; Tom H. Luan; Xuemin Shen (CoRR, 2023)

AI for UAV-Assisted IoT Applications: A Comprehensive Review. - Nan Cheng; Shen Wu; Xiucheng Wang; Zhisheng Yin; Changle Li; Wen Chen 001; Fangjiong Chen (IEEE Internet Things J., 2023)

DTA-RL: Dynamic Topology Adaptive Reinforcement Learning Approach for Task Offloading in Mobile Edge Computing. - Lianhao Fu; Nan Cheng; Xiucheng Wang; Ruijin Sun; Ning Lu 001; Zhou Su; Changle Li (GLOBECOM, 2024)

ALWNN: Automatic Modulation Classification via Adaptive Lightweight Wavelet Neural Network. - Yunhao Quan; Nan Cheng; Xiucheng Wang; Zhisheng Yin; Wenchao Xu 001; Danyang Wang (GLOBECOM, 2024)

Com2: An Integrated Framework for Communication and Computation Delay Trade-Off. - Yuhao Pan; Xiucheng Wang; Zhisheng Yin; Nan Cheng; Yuchuan Fu; Haixia Peng; Changle Li (PIMRC, 2024)

Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development. - Longfei Ma; Nan Cheng; Xiucheng Wang; Jiong Chen; Yinjun Gao; Dongxiao Zhang; Jun-Jie Zhang 007 (CoRR, 2024)

Trapezoidal Gradient Descent for Effective Reinforcement Learning in Spiking Networks. - Yuhao Pan; Xiucheng Wang; Nan Cheng; Qi Qiu (CoRR, 2024)

Reliable Projection Based Unsupervised Learning for Semi-Definite QCQP with Application of Beamforming Optimization. - Xiucheng Wang; Qi Qiu; Nan Cheng (CoRR, 2024)

RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction. - Xiucheng Wang; Keda Tao; Nan Cheng; Zhisheng Yin; Zan Li 001; Yuan Zhang 007; Xuemin Shen (CoRR, 2024)

GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network. - Yuhao Pan; Xiucheng Wang; Zhiyao Xu; Nan Cheng; Wenchao Xu 001; Junjie Zhang (CoRR, 2024)

RingSFL: An Adaptive Split Federated Learning Towards Taming Client Heterogeneity. - Jinglong Shen; Nan Cheng; Xiucheng Wang; Feng Lyu 001; Wenchao Xu 001; Zhi Liu 002; Khalid Aldubaikhy; Xuemin Shen (IEEE Trans. Mob. Comput., 2024)

Dynamic Neural Network-Based Resource Management for Mobile Edge Computing in 6G Networks. - Longfei Ma; Nan Cheng; Conghao Zhou; Xiucheng Wang; Ning Lu 001; Ning Zhang 007; Khalid Aldubaikhy; Abdullah M. Alqasir (IEEE Trans. Cogn. Commun. Netw., 2024)

GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network. - Yuhao Pan; Xiucheng Wang; Zhiyao Xu; Nan Cheng; Wenchao Xu 001; Jun-Jie Zhang 007 (IEEE Internet Things J., 2024)

Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model. - Keda Tao; Jinjin Gu; Yulun Zhang 001; Xiucheng Wang; Nan Cheng (ICLR, 2025)

Erasing Noise in Signal Detection with Diffusion Model: From Theory to Application. - Xiucheng Wang; Peilin Zheng; Nan Cheng (CoRR, 2025)

Toward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges. - Nan Cheng; Xiucheng Wang; Zan Li 001; Zhisheng Yin; Tom H. Luan; Xuemin Shen (IEEE Netw., 2025)

Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming. - Xiucheng Wang; Xuan Zhao; Nan Cheng (CoRR, 2025)

RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction. - Xiucheng Wang; Zhongsheng Fang; Nan Cheng (CoRR, 2025)

RadioDiff-k2: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction. - Xiucheng Wang; Qiming Zhang; Nan Cheng; Ruijin Sun; Zan Li 001; Shuguang Cui; Xuemin Shen (CoRR, 2025)

RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction. - Xiucheng Wang; Keda Tao; Nan Cheng; Zhisheng Yin; Zan Li 001; Yuan Zhang 006; Xuemin Shen (IEEE Trans. Cogn. Commun. Netw., 2025)

Polarity-Focused Denoising for Event Cameras. - Chenyang Shi; Boyi Wei; Xiucheng Wang; Hanxiao Liu; Yibo Zhang; Wenzhuo Li; Ningfang Song; Jing Jin (IEEE Trans. Circuits Syst. Video Technol., 2025)

Latent Diffusion Model Based Denoising Receiver for 6G Semantic Communication: From Stochastic Differential Theory to Application. - Xiucheng Wang; Honggang Jia; Nan Cheng; Dusit Niyato (CoRR, 2025)

On-Demand Multimedia Delivery in 6G: An Optimal-Cost Steiner Tree Approach. - Zien Wang; Xiucheng Wang; Nan Cheng; Wenchao Xu 001; Wei Quan 001; Ruijin Sun; Conghao Zhou (CoRR, 2025)

RadioDiff-3D: A 3D⨉3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication. - Xiucheng Wang; Qiming Zhang; Nan Cheng; Junting Chen; Zezhong Zhang; Zan Li 001; Shuguang Cui; Xuemin Shen (CoRR, 2025)

Mixture of Gradient: A Unified Enhancing Approach for Deep-Learning-Based Wireless Network Optimization. - Nan Chen 006; Longfei Ma; Yanpeng Dai; Xiucheng Wang; Qihao Li; Wei Quan 001; Hui Liang 002; Xuemin Shen (IEEE Internet Things J., 2025)

QoE-Aware Service Provision for Mobile AR Rendering: An Agent-Driven Approach. - Conghao Zhou; Lulu Sun; Xiucheng Wang; Peng Yang 004; Feng Lyu 001; Sihan Lu; Xuemin Shen (CoRR, 2025)

A Survey of Graph-Based Resource Management in Wireless Networks - Part I: Optimization Approaches. - Yanpeng Dai; Ling Lyu; Nan Chen 006; Min Sheng; Junyu Liu; Xiucheng Wang; Shuguang Cui; Lin Cai 001; Xuemin Shen (IEEE Trans. Cogn. Commun. Netw., 2025)

A Survey of Graph-Based Resource Management in Wireless Networks - Part II: Learning Approaches. - Yanpeng Dai; Ling Lyu; Nan Cheng; Min Sheng; Junyu Liu; Xiucheng Wang; Shuguang Cui; Lin Cai 001; Xuemin Shen (IEEE Trans. Cogn. Commun. Netw., 2025)