Taming heterogeneity, the ubiquitous beast in cloud computing and decentralized learning 

Energy-efficient computing: Datacenters, mobile devices, and mobile clouds 

Object detection and recognition from 3D point clouds 

Partitioning, indexing and querying spatial data on cloud 

USC Computer Science Technical Reports, no. 934 (2013) 

City-scale aerial LiDAR point cloud visualization 

3D object detection in industrial site point clouds 

Improving efficiency to advance resilient computing 

Efficient delivery of augmented information services over distributed computing networks 

Explainable and green solutions to point cloud classification and segmentation 

Adaptive and resilient stream processing on cloud infrastructure 

Green learning for 3D point cloud data processing 

Distributed resource management for QoS-aware service provision 

Techniques for efficient cloud modeling, simulation and rendering 

Optimizing distributed storage in cloud environments 

On scheduling, timeliness and security in large scale distributed computing 

Enhanced quasi-static particle-in-cell simulation of electron cloud instabilities in circular accelerators 

3D deep learning for perception and modeling 

Using formal optimization techniques to improve the performance of mobile and data center networks 

Coded computing: Mitigating fundamental bottlenecks in large-scale data analytics 

Scaling-out traffic management in the cloud 

Dispersed computing in dynamic environments 

Hybrid methods for robust image matching and its application in augmented reality 

Towards efficient fault-tolerant quantum computation 

Resource management for scientific workflows