8 citations · 12 across the 8 of their papers we have counts for
11 papers
TMN: A Lightweight Neuron Model for Efficient Nonlinear Spike Representation
Yiwen Gu, Junchuan Gu, Haibin Shen +1
Spike trains serve as the primary medium for information transmission in Spiking Neural Networks, playing a crucial role in determining system efficiency. Existing encoding schemes…
Thermal Infrared Image Inpainting via Edge-Aware Guidance
Zeyu Wang, Haibin Shen, Changyou Men +2
Image inpainting has achieved fundamental advances with deep learning. However, almost all existing inpainting methods aim to process natural images, while few target Thermal Infra…
Domino: A Tailored Network-on-Chip Architecture to Enable Highly Localized Inter- and Intra-Memory DNN Computing
Kaining Zhou, Yangshuo He, Rui Xiao +1
The ever-increasing computation complexity of fast-growing Deep Neural Networks (DNNs) has requested new computing paradigms to overcome the memory wall in conventional Von Neumann…
A Low Power In-Memory Multiplication andAccumulation Array with Modified Radix-4 Inputand Canonical Signed Digit Weights
Rui Xiao, Kejie Huang, Yewei Zhang +1
A mass of data transfer between the processing and storage units has been the leading bottleneck in modern Von-Neuman computing systems, especially when used for Artificial Intelli…
GraphAttacker: A General Multi-Task GraphAttack Framework
Jinyin Chen, Dunjie Zhang, Zhaoyan Ming +3
Graph neural networks (GNNs) have been successfully exploited in graph analysis tasks in many real-world applications. The competition between attack and defense methods also enhan…
C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer
Dongxu Wei, Xiaowei Xu, Haibin Shen +1
Human video motion transfer (HVMT) aims to synthesize videos that one person imitates other persons' actions. Although existing GAN-based HVMT methods have achieved great success,…