Joint Resource Allocation and Secrecy Capacity optimization in V2V Communications : (Invited Paper). - Xuewen Luo; Hsiao-Hwa Chen; Weixiao Meng 001 (ICCC, 2019)

DiPCo - Dinner Party Corpus. - Maarten Van Segbroeck; Ahmed Zaid; Ksenia Kutsenko; Cirenia Huerta; Tinh Nguyen; Xuewen Luo; Björn Hoffmeister; Jan Trmal; Maurizio Omologo; Roland Maas (INTERSPEECH, 2020)

Physical Layer Security in Intelligently Connected Vehicle Networks. - Xuewen Luo; Yiliang Liu; Hsiao-Hwa Chen; Qing Guo 001 (IEEE Netw., 2020)

How Much Can Radio Resource Allocation Help to Improve Secrecy Capacity of V2V Underlay Cellular Networks? - Xuewen Luo; Hsiao-Hwa Chen; Weixiao Meng 001 (IEEE Trans. Veh. Technol., 2020)

Artificial Noise Assisted Secure Mobile Crowd Computing in Intelligently Connected Vehicular Networks. - Xuewen Luo; Yiliang Liu; Hsiao-Hwa Chen; Weixiao Meng 001 (IEEE Trans. Veh. Technol., 2021)

Semantic Communications: Overview, Open Issues, and Future Research Directions. - Xuewen Luo; Hsiao-Hwa Chen; Qing Guo 001 (IEEE Wirel. Commun., 2022)

Power Efficiency Physical Layer Security for Multiple Users in IRS-Assisted Uplink Channels: Learning to Phase Shift. - Xiangrui Cheng; Yiliang Liu; Zhou Su; Xuewen Luo; Qichao Xu; Haixia Peng; Abderrahim Benslimane (GLOBECOM, 2023)

PHY Security Design for Mobile Crowd Computing in ICV Networks Based on Multi-Agent Reinforcement Learning. - Xuewen Luo; Yiliang Liu; Hsiao-Hwa Chen; Qing Guo 001 (IEEE Trans. Wirel. Commun., 2023)

An Ethical Decision Making Algorithm for Autonomous Vehicles During an Inevitable Collision. - Jingyao Tang; Xuewen Luo; Jinye Chen; Yuanyi Yuan; Junn Yong Loo (ICBAR, 2024)

Energy-Efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles. - Fan Ding; Xuewen Luo; Gaoxuan Li; Hwa Hui Tew; Junn Yong Loo; Wai Tong Chor; A. S. M. Bakibillah; Ziyuan Zhao; Zhiyu Tao (SMC, 2024)

FedBChain: A Blockchain-Enabled Federated Learning Framework for Improving DeepConvLSTM with Comparative Strategy Insights. - Gaoxuan Li; Chern Hong Lim; Qiyao Ma; Xinyu Tang; Hwa Hui Tew; Fan Ding; Xuewen Luo (SMC, 2024)

Cross-Domain Transfer Learning Using Attention Latent Features for Multi-Agent Trajectory Prediction. - Jia Quan Loh; Xuewen Luo; Fan Ding; Hwa Hui Tew; Junn Yong Loo; Ze Yang Ding; Susilawati; Chee Pin Tan (SMC, 2024)

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes. - Hwa Hui Tew; Gaoxuan Li; Fan Ding; Xuewen Luo; Junn Yong Loo; Chee-Ming Ting; Ze Yang Ding; Chee Pin Tan (SMC, 2024)

PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving. - Xuewen Luo; Fan Ding; Yinsheng Song; Xiaofeng Zhang; Junn Yong Loo (CoRR, 2024)

Multimodal and Multiuser Semantic Communications for Channel-Level Information Fusion. - Xuewen Luo; Ruobin Gao; Hsiao-Hwa Chen; Shuyi Chen; Qing Guo 001; Ponnuthurai Nagaratnam Suganthan (IEEE Wirel. Commun., 2024)

RIS-Based on-the-Air Semantic Communications - A Diffractional Deep Neural Network Approach. - Shuyi Chen; Yingzhe Hui; Yifan Qin; Yueyi Yuan; Weixiao Meng 001; Xuewen Luo; Hsiao-Hwa Chen (IEEE Wirel. Commun., 2024)

LEO/VLEO Satellite Communications in 6G and Beyond Networks-Technologies, Applications, and Challenges. - Xuewen Luo; Hsiao-Hwa Chen; Qing Guo 001 (IEEE Netw., 2024)

Intelligent Reflecting Surface Assisted Physical Layer Security: A Deep Learning Approach. - Yiliang Liu; Zhou Su; Haixia Peng; Xuewen Luo; Hsiao-Hwa Chen (IEEE Wirel. Commun., 2024)

"What's Happening"- A Human-centered Multimodal Interpreter Explaining the Actions of Autonomous Vehicles. - Xuewen Luo; Fan Ding; Ruiqi Chen; Rishikesh Panda; Junnyong Loo; Shuyun Zhang (WACV (Workshops), 2025)

SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous Driving. - Xuewen Luo; Fan Ding; Fengze Yang; Yang Zhou; Junnyong Loo; Hwa Hui Tew; Chenxi Liu (WACV (Workshops), 2025)

Underwater Acoustic Signal Denoising Algorithms: A Survey of the State of the Art. - Ruobin Gao; Maohan Liang; Heng Dong; Xuewen Luo; Ponnuthurai N. Suganthan (IEEE Trans. Instrum. Meas., 2025)

A Comprehensive LLM-powered Framework for Driving Intelligence Evaluation. - Shanhe You; Xuewen Luo; Xinhe Liang; Jiashu Yu; Chen Zheng 005; Jiangtao Gong (CoRR, 2025)

V2X-UniPool: Unifying Multimodal Perception and Knowledge Reasoning for Autonomous Driving. - Xuewen Luo; Fengze Yang; Fan Ding; Xiangbo Gao; Shuo Xing; Yang Zhou 019; Zhengzhong Tu; Chenxi Liu (CoRR, 2025)

RSMA-Enabled Covert Communications Against Multiple Spatially Random Wardens. - Xinyue Pei; Jihao Liu; Xuewen Luo; Xingwei Wang 001; Yingyang Chen; Miaowen Wen; Theodoros A. Tsiftsis (CoRR, 2025)

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration. - Xiangbo Gao; Yuheng Wu; Xuewen Luo; Keshu Wu; Xinghao Chen 010; Yuping Wang; Chenxi Liu; Yang Zhou 019; Zhengzhong Tu (CoRR, 2025)

Stacked Ensemble Deep Random Vector Functional Link Network With Residual Learning for Medium-Scale Time-Series Forecasting. - Ruobin Gao; Minghui Hu 001; Ruilin Li 001; Xuewen Luo; Ponnuthurai Nagaratnam Suganthan; Muhammad Tanveer 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance. - Fengze Yang; Bo Yu; Yang Zhou 019; Xuewen Luo; Zhengzhong Tu; Chenxi Liu (CoRR, 2025)

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction. - Fan Ding; Hwa Hui Tew; Junn Yong Loo; Susilawati; LiTong Liu; Fang Yu Leong; Xuewen Luo; Kar Keong Chin; Jia Jun Gan (CoRR, 2025)