Accelerating 2PC-based ML with Limited Trusted Hardware. - Muqsit Nawaz; Aditya Gulati; Kunlong Liu; Vishwajeet Agrawal; Prabhanjan Ananth; Trinabh Gupta (CoRR, 2020)

Towards an Efficient System for Differentially-private, Cross-device Federated Learning. - Kunlong Liu; Richa Wadaskar; Trinabh Gupta (ResilientFL, 2021)

Timestamped State Sharing for Stream Analytics. - Yunjian Zhao; Zhi Liu; Yidi Wu; Guanxian Jiang; James Cheng; Kunlong Liu; Xiao Yan 002 (IEEE Trans. Parallel Distributed Syst., 2021)

Cross-modality person re-identification via multi-task learning. - Nianchang Huang; Kunlong Liu; Yang Liu 069; Qiang Zhang 020; Jungong Han (Pattern Recognit., 2022)

Federated Learning with Differential Privacy and an Untrusted Aggregator. - Kunlong Liu; Trinabh Gupta (ICISSP, 2024)

Making Privacy-preserving Federated Graph Analytics Practical (for Certain Queries). - Kunlong Liu; Trinabh Gupta (SACMAT, 2024)

Making Privacy-preserving Federated Graph Analytics with Strong Guarantees Practical (for Certain Queries). - Kunlong Liu; Trinabh Gupta (CoRR, 2024)

Making Federated Analytics With Strong Privacy Practical - Kunlong Liu (2024)

Advancements in deep learning for point cloud classification and segmentation: A comprehensive review. - Wei Zhou 012; Kunlong Liu; Weiwei Jin; Qian Wang; Yunfeng She; Yongxiang Yu; Caiwen Ma (Comput. Graph., 2025)

Semi-supervised single-view 3D reconstruction via multi shape prior fusion strategy and self-attention. - Wei Zhou; Xinzhe Shi; Yunfeng She; Kunlong Liu; Yongqin Zhang (Comput. Graph., 2025)