Minimize the Fuel Consumption of Connected Vehicles Between Two Red-Signalized Intersections in Urban Traffic. - Qingfeng Lin; Shengbo Eben Li; Xuejin Du; Xiaowu Zhang; Huei Peng; Yugong Luo; Keqiang Li (IEEE Trans. Veh. Technol., 2018)

The two-echelon city logistics system with on-street satellites. - Hongqi Li; Yinying Liu; Kaihang Chen; Qingfeng Lin (Comput. Ind. Eng., 2020)

Eco-Driving Operation of Connected Vehicle With V2I Communication Among Multiple Signalized Intersections. - Qingfeng Lin; Shengbo Eben Li; Shaobing Xu; Xuejin Du; Diange Yang; Keqiang Li (IEEE Intell. Transp. Syst. Mag., 2021)

Penalty-Based Algorithm for Joint Activity and Data Detection in Grant-Free Massive Access. - Qingfeng Lin; Yang Li 035; Yik-Chung Wu (ICCC, 2022)

Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods. - Zongze Li; Shuai Wang 004; Qingfeng Lin; Yang Li 035; Miaowen Wen; Yik-Chung Wu; H. Vincent Poor (Network, 2022)

Enhancing Outage-Constrained Secure EE with RIS Under a Multi-Antenna Eavesdropper. - Zongze Li; Qingfeng Lin; Yik-Chung Wu; Derrick Wing Kwan Ng; Arumugam Nallanathan (GLOBECOM, 2023)

Intelligent Reflecting Surface Aided Activity Detection: A Covariance-Based Learning Approach. - Qingfeng Lin; Yang Li 035; Yik-Chung Wu; Rui Zhang 006 (GLOBECOM, 2023)

Distributed Algorithms for Asynchronous Activity Detection in Cell-Free Massive MIMO. - Yang Li 035; Qingfeng Lin; Ya-Feng Liu; Bo Ai 001; Yik-Chung Wu (ICC, 2023)

Communication-Efficient Joint Signal Compression and Activity Detection in Cell-Free Massive MIMO. - Qingfeng Lin; Yang Li 035; Wei-Bin Kou; Tsung-Hui Chang; Yik-Chung Wu (ICC, 2023)

Sparsity Constrained Joint Activity and Data Detection for Massive Access: A Difference-of-Norms Penalty Framework. - Qingfeng Lin; Yang Li 035; Yik-Chung Wu (IEEE Trans. Wirel. Commun., 2023)

Asynchronous Activity Detection for Cell-Free Massive MIMO: From Centralized to Distributed Algorithms. - Yang Li 035; Qingfeng Lin; Ya-Feng Liu; Bo Ai 001; Yik-Chung Wu (IEEE Trans. Wirel. Commun., 2023)

Bayesian Activity Detection for Massive Connectivity in Cell-Free IoT Networks. - Hao Zhang 149; Qingfeng Lin; Yang Li 035; Lei Cheng 003; Yik-Chung Wu (ICASSP, 2024)

FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding. - Wei-Bin Kou; Qingfeng Lin; Ming Tang 006; Shuai Wang 004; Guangxu Zhu; Yik-Chung Wu (IROS, 2024)

Handling Distance Constraint in Movable Antenna Aided Systems: A General Optimization Framework. - Yichen Jin; Qingfeng Lin; Yang Li 035; Yik-Chung Wu (SPAWC, 2024)

pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving. - Wei-Bin Kou; Qingfeng Lin; Ming Tang 006; Sheng Xu; Rongguang Ye; Yang Leng; Shuai Wang 004; Zhenyu Chen; Guangxu Zhu; Yik-Chung Wu (CoRR, 2024)

An Adverse Weather-Immune Scheme with Unfolded Regularization and Foundation Model Knowledge Distillation for Street Scene Understanding. - Wei-Bin Kou; Guangxu Zhu; Rongguang Ye; Shuai Wang 004; Qingfeng Lin; Ming Tang 006; Yik-Chung Wu (CoRR, 2024)

Activity Detection for Massive Connectivity in Cell-Free Networks With Unknown Large-Scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach. - Hao Zhang 149; Qingfeng Lin; Yang Li 035; Lei Cheng 003; Yik-Chung Wu (IEEE Trans. Signal Process., 2024)

Enhancing Physical Layer Security With RIS Under Multi-Antenna Eavesdroppers and Spatially Correlated Channel Uncertainties. - Zongze Li; Qingfeng Lin; Yik-Chung Wu; Derrick Wing Kwan Ng; Arumugam Nallanathan (IEEE Trans. Commun., 2024)

Communication-Efficient Activity Detection for Cell-Free Massive MIMO: An Augmented Model-Driven End-to-End Learning Framework. - Qingfeng Lin; Yang Li 035; Wei-Bin Kou; Tsung-Hui Chang; Yik-Chung Wu (IEEE Trans. Wirel. Commun., 2024)

Intelligent Reflecting Surface Aided Activity Detection for Massive Access: Performance Analysis and Learning Approach. - Qingfeng Lin; Yang Li 035; Yik-Chung Wu; Rui Zhang 006 (IEEE Trans. Wirel. Commun., 2024)

Understanding Complex-Valued Transformer for Modulation Recognition. - Jingreng Lei; Yang Li 035; Long-Yin Yung; Yang Leng; Qingfeng Lin; Yik-Chung Wu (IEEE Wirel. Commun. Lett., 2024)

A Decision-Making Model for Autonomous Vehicles Considering Pedestrian's Time Pressure Based on Game Theory and Reinforcement Learning. - Qingfeng Lin; Heng-Yu Xue; Yang Lyu; Qingkun Li; Ju-Shang Ou (IEEE Access, 2025)

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory. - Wei-Bin Kou; Qingfeng Lin; Ming Tang 006; Shuai Wang 004; Rongguang Ye; Guangxu Zhu; Yik-Chung Wu (CoRR, 2025)

Mixture of Experts-augmented Deep Unfolding for Activity Detection in IRS-aided Systems. - Zeyi Ren; Qingfeng Lin; Jingreng Lei; Yang Li 035; Yik-Chung Wu (CoRR, 2025)

Deep Unfolding Beamforming and Power Control Designs for Multi-Port Matching Networks. - Bokai Xu; Jiayi Zhang 001; Qingfeng Lin; Huahua Xiao; Yik-Chung Wu; Bo Ai 001 (IEEE Trans. Wirel. Commun., 2025)

Deep Unfolding with Kernel-based Quantization in MIMO Detection. - Zeyi Ren; Jingreng Lei; Yichen Jin; Ermo Hua; Qingfeng Lin; Chen Zhang; Bowen Zhou 002; Yik-Chung Wu (CoRR, 2025)

Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving. - Wei-Bin Kou; Qingfeng Lin; Ming Tang 006; Rongguang Ye; Shuai Wang 004; Guangxu Zhu; Yik-Chung Wu (IEEE Trans. Intell. Transp. Syst., 2025)