PECAM: privacy-enhanced video streaming and analytics via securely-reversible transformation. - Hao Wu 067; Xuejin Tian; Minghao Li 003; Yunxin Liu 001; Ganesh Ananthanarayanan; Fengyuan Xu; Sheng Zhong 002 (MobiCom, 2021)

DAPter: Preventing User Data Abuse in Deep Learning Inference Services. - Hao Wu 067; Xuejin Tian; Yuhang Gong; Xing Su; Minghao Li 003; Fengyuan Xu (WWW, 2021)

Towards Automated Safety Vetting of Smart Contracts in Decentralized Applications. - Yue Duan; Xin Zhao; Yu Pan; Shucheng Li; Minghao Li 003; Fengyuan Xu; Mu Zhang 001 (CCS, 2022)

Automation Slicing and Testing for in-App Deep Learning Models. - Hao Wu 067; Yuhang Gong; Xiaopeng Ke; Hanzhong Liang; Minghao Li 003; Fengyuan Xu; Yunxin Liu 001; Sheng Zhong 002 (CoRR, 2022)

THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression. - Minghao Li 003; Ran Ben Basat; Shay Vargaftik; ChonLam Lao; Kevin Xu; Xinran Tang; Michael Mitzenmacher; Minlan Yu (CoRR, 2023)

THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression. - Minghao Li 003; Ran Ben Basat; Shay Vargaftik; ChonLam Lao; Kevin Xu; Michael Mitzenmacher; Minlan Yu (NSDI, 2024)

Federated Learning Clients Clustering with Adaptation to Data Drifts. - Minghao Li 003; Dmitrii Avdiukhin; Rana Shahout; Nikita Ivkin; Vladimir Braverman; Minlan Yu (CoRR, 2024)

OctoCache: Caching Voxels for Accelerating 3D Occupancy Mapping in Autonomous Systems. - Peiqing Chen; Minghao Li 003; Zishen Wan; Yu-Shun Hsiao; Minlan Yu; Vijay Janapa Reddi; Zaoxing Liu (ASPLOS (2), 2025)