Research on the Spread Control of Unconfirmed Information after the Emergency Occurs based on the Topic Model. - Xueyan Zhou; Jing Yang; Zehong Lin; Yali Ji (J. Networks, 2014)

User-Centric OFDMA Cloud Radio Access Networks with Fronthaul Capacity Constraints. - Zehong Lin; Yuan Liu 001 (GLOBECOM, 2017)

Joint Uplink-Downlink Resource Allocation in OFDMA Cloud Radio Access Networks. - Zehong Lin; Yuan Liu 001 (ICC, 2018)

Automated Muscle Segmentation from Dynamic Computed Tomographic Angiography Images for Diagnosis of Peripheral Arterial Occlusive Disease. - Zehong Lin; He Xu; Daming Zhang (IEEE Access, 2019)

Joint Uplink and Downlink Transmissions in User-Centric OFDMA Cloud-RAN. - Zehong Lin; Yuan Liu 001 (IEEE Trans. Veh. Technol., 2019)

Optimizing AI Service Placement and Computation Offloading in Mobile Edge Intelligence Systems. - Zehong Lin; Suzhi Bi; Ying-Jun Angela Zhang (GLOBECOM, 2020)

Relay-Assisted Over-the-Air Federated Learning. - Zehong Lin; Hang Liu 007; Ying-Jun Angela Zhang (GLOBECOM (Workshops), 2021)

Quick evaluation of lower leg ischemia in patients with peripheral arterial disease by time maximum intensity projection CT angiography: a pilot study. - Daming Zhang; Xueyan Zhou; Haiping Zhang; Xiaobing Fan; Zehong Lin; Huadan Xue; Yining Wang; Zhengyu Jin; Yuexin Chen (BMC Medical Imaging, 2021)

Optimizing AI Service Placement and Resource Allocation in Mobile Edge Intelligence Systems. - Zehong Lin; Suzhi Bi; Ying-Jun Angela Zhang (IEEE Trans. Wirel. Commun., 2021)

Relay-Assisted Cooperative Federated Learning. - Zehong Lin; Hang Liu 007; Ying-Jun Angela Zhang (IEEE Trans. Wirel. Commun., 2022)

Probabilistic Device Scheduling for Over-the-Air Federated Learning. - Yuchang Sun 001; Zehong Lin; Yuyi Mao; Shi Jin 002; Jun Zhang 004 (ICCT, 2023)

Understanding Model Averaging in Federated Learning on Heterogeneous Data. - Tailin Zhou; Zehong Lin; Jun Zhang 004; Danny H. K. Tsang (CoRR, 2023)

A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency. - Jiawei Shao; Zijian Li 023; Wenqiang Sun; Tailin Zhou; Yuchang Sun 001; Lumin Liu; Zehong Lin; Jun Zhang 004 (CoRR, 2023)

CFLIT: Coexisting Federated Learning and Information Transfer. - Zehong Lin; Hang Liu 007; Ying-Jun Angela Zhang (IEEE Trans. Wirel. Commun., 2023)

Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning. - Hang Liu 007; Zehong Lin; Xiaojun Yuan 002; Ying-Jun Angela Zhang (IEEE Wirel. Commun., 2023)

Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model. - Zhening Liu 001; Xinjie Zhang; Jiawei Shao; Zehong Lin; Jun Zhang 004 (ECCV (8), 2024)

Spatial-Aware Latent Initialization for Controllable Image Generation. - Wenqiang Sun; Teng Li; Zehong Lin; Jun Zhang 004 (CoRR, 2024)

WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks. - Jingwen Tong; Jiawei Shao; Qiong Wu; Wei Guo 030; Zijian Li 023; Zehong Lin; Jun Zhang 004 (CoRR, 2024)

EVA-Gaussian: 3D Gaussian-based Real-time Human Novel View Synthesis under Diverse Camera Settings. - Yingdong Hu; Zhening Liu 001; Jiawei Shao; Zehong Lin; Jun Zhang 004 (CoRR, 2024)

MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes. - Xinjie Zhang; Zhening Liu 001; Yifan Zhang 004; Xingtong Ge; Dailan He; Tongda Xu; Yan Wang 105; Zehong Lin; Shuicheng Yan; Jun Zhang 004 (CoRR, 2024)

Dynamics-Aware Gaussian Splatting Streaming Towards Fast On-the-Fly Training for 4D Reconstruction. - Zhening Liu 001; Yingdong Hu; Xinjie Zhang; Jiawei Shao; Zehong Lin; Jun Zhang 004 (CoRR, 2024)

WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence. - Jiawei Shao; Jingwen Tong; Qiong Wu; Wei Guo 030; Zijian Li 023; Zehong Lin; Jun Zhang 004 (J. Commun. Inf. Networks, 2024)

Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning. - Yuchang Sun 001; Zehong Lin; Yuyi Mao; Shi Jin 002; Jun Zhang 004 (IEEE Trans. Wirel. Commun., 2024)

Large Language Models Empowered Autonomous Edge AI for Connected Intelligence. - Yifei Shen; Jiawei Shao; Xinjie Zhang; Zehong Lin; Hao Pan; Dongsheng Li 002; Jun Zhang 004; Khaled B. Letaief (IEEE Commun. Mag., 2024)

FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features. - Zijian Li 023; Zehong Lin; Jiawei Shao; Yuyi Mao; Jun Zhang 004 (IEEE Trans. Mob. Comput., 2024)

Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data. - Tailin Zhou; Zehong Lin; Jun Zhang 004; Danny H. K. Tsang (IEEE Trans. Mob. Comput., 2024)

SACR: Self-training with Saliency-Augmented Consistency Regularization for Few-Shot Learners. - Yanyan Feng; Yue Zhou 012; Yun Xue; Fenghuan Li; Zehong Lin (ICASSP, 2025)

GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering. - Hongze Chen; Zehong Lin; Jun Zhang 004 (ICLR, 2025)

WRF-GS: Wireless Radiation Field Reconstruction with 3D Gaussian Splatting. - Chaozheng Wen; Jingwen Tong; Yingdong Hu; Zehong Lin; Jun Zhang 004 (INFOCOM, 2025)

ReHyGen: Relational hypergraph enhanced generative aspect sentiment triplet extraction. - Zehong Lin; Weibo Chen; Yun Xue; Fenghuan Li (Neurocomputing, 2025)

Knowledge-aware interaction networks for domain-adaptive end-to-end aspect-based sentiment analysis. - Benshuo Lin; Zehong Lin; Fenghuan Li; Zhuoming Liang; Zihao Lu; Yun Xue (Int. J. Mach. Learn. Cybern., 2025)