10 citations · 10 across the 5 of their papers we have counts for
5 papers
Conditional Dynamical Systems for Image Generation
Lianlong Sun, Chuan Liu, Yongchao Liu +5
Image generation is dominated by deep generative models on GPUs, whose computational and energy costs raise sustainability concerns. Emerging non-von Neumann substrates, including…
Zeros can be Informative: Masked Binary U-Net for Image Segmentation on Tensor Cores
Chunshu Wu, Ruibing Song, Sushant Kondguli +2
Real-time image segmentation is a key enabler for AR/VR, robotics, drones, and autonomous systems, where tight accuracy, latency, and energy budgets must be met on resource-constra…
Accurate and Data-Efficient Micro-XRD Phase Identification Using Multi-Task Learning: Application to Hydrothermal Fluids
Yanfei Li, Juejing Liu, Xiaodong Zhao +4
Traditional analysis of highly distorted micro-X-ray diffraction (μ-XRD) patterns from hydrothermal fluid environments is a time-consuming process, often requiring substantial data…
Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs
Hongwu Peng, Caiwen Ding, Tong Geng +3
The relentless advancement of artificial intelligence (AI) and machine learning (ML) applications necessitates the development of specialized hardware accelerators capable of handl…
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
Hongwu Peng, Ran Ran, Yukui Luo +8
The growth of Graph Convolution Network (GCN) model sizes has revolutionized numerous applications, surpassing human performance in areas such as personal healthcare and financial…