Point Cloud Geometry Compression Via Neural Graph Sampling. - Linyao Gao; Tingyu Fan; Jianqiang Wan; Yiling Xu; Jun Sun 005; Zhan Ma (ICIP, 2021)

D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction. - Tingyu Fan; Linyao Gao; Yiling Xu; Zhu Li 001; Dong Wang 004 (IJCAI, 2022)

An Effective and Balanced Storage Extension Approach for Sharding Blockchain Systems. - Tingyu Fan; Xiulong Liu; Baochao Chen; Wenyu Qu (ICCD, 2023)

Learning Dynamic Point Cloud Compression via Hierarchical Inter-frame Block Matching. - Shuting Xia; Tingyu Fan; Yiling Xu; Jenq-Neng Hwang; Zhu Li 001 (ACM Multimedia, 2023)

Multiscale Latent-Guided Entropy Model for LiDAR Point Cloud Compression. - Tingyu Fan; Linyao Gao; Yiling Xu; Dong Wang 004; Zhu Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Lightweight Secure Aggregation for Personalized Federated Learning with Backdoor Resistance. - Tingyu Fan; Xiaojun Chen; Ye Dong; Xudong Chen; Yuexin Xuan; Weizhan Jing (ACSAC, 2024)

CipherDM: Secure Three-Party Inference for Diffusion Model Sampling. - Xin Zhao; Xiaojun Chen 004; Xudong Chen; He Li 010; Tingyu Fan; Zhendong Zhao (ECCV (71), 2024)

Roger: A Round Optimized GPU-Friendly Secure Inference Framework. - Xudong Chen; Xiaojun Chen 004; Ye Dong; Weizhan Jing; Tingyu Fan; Qinghui Zhang (ICC, 2024)

Comet: Communication-Efficient Batch Secure Three-Party Neural Network Inference with Client-Aiding. - Tingyu Fan; Xiaojun Chen 004; Ye Dong; Xudong Chen; Weizhan Jing (ICC, 2024)

CipherDM: Secure Three-Party Inference for Diffusion Model Sampling. - Xin Zhao; Xiaojun Chen; Xudong Chen; He Li; Tingyu Fan; Zhendong Zhao (CoRR, 2024)

U-Motion: Learned Point Cloud Video Compression with U-Structured Motion Estimation. - Tingyu Fan; Yueyu Hu; Yao Wang (CoRR, 2024)

FLock: Robust and Privacy-Preserving Federated Learning based on Practical Blockchain State Channels. - Ruonan Chen; Ye Dong; Yizhong Liu; Tingyu Fan; Dawei Li 009; Zhenyu Guan; Jianwei Liu 001; Jianying Zhou 001 (IACR Cryptol. ePrint Arch., 2024)

FedShelter: Efficient privacy-preserving federated learning with poisoning resistance for resource-constrained IoT network. - Tingyu Fan; Xiaojun Chen 004; Xudong Chen; Ye Dong; Weizhan Jing; Zhendong Zhao (Comput. Networks, 2025)

Lossless LiDAR Point Cloud Reflectance Compression With a Deep Hierarchical KNN Context Model. - Lizhi Hou; Tingyu Fan; Yiling Xu; Zhu Li 001 (IEEE Trans. Multim., 2025)

Tangram: Enabling Efficient and Balanced Dynamic Storage Extension on Sharding Blockchain Systems. - Hao Xu 025; Jiaqi Zhang; Xiulong Liu; Zhimin Yu; Tingyu Fan; Baochao Chen; Keqiu Li (IEEE Trans. Computers, 2025)

TeSO: Representing and Compressing 3D Point Cloud Scenes with Textured Surfel Octree. - Yueyu Hu; Ran Gong; Tingyu Fan; Yao Wang (CoRR, 2025)