most citedBatchQuant: Quantized-for-all Architecture Search with Robust Quantizer

14 citations · 32 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG20222 cited

Synthetic Defect Generation for Display Front-of-Screen Quality Inspection: A Survey

Shancong Mou, Meng Cao, Zhendong Hong +3

Display front-of-screen (FOS) quality inspection is essential for the mass production of displays in the manufacturing process. However, the severe imbalanced data, especially the…

cs.LG20226 cited

Information Gain Propagation: a new way to Graph Active Learning with Soft Labels

Wentao Zhang, Yexin Wang, Zhenbang You +5

Graph Neural Networks (GNNs) have achieved great success in various tasks, but their performance highly relies on a large number of labeled nodes, which typically requires consider…

cs.LG202110 cited

RIM: Reliable Influence-based Active Learning on Graphs

Wentao Zhang, Yexin Wang, Zhenbang You +5

Message passing is the core of most graph models such as Graph Convolutional Network (GCN) and Label Propagation (LP), which usually require a large number of clean labeled data to…

cs.CV202114 cited

BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer

Haoping Bai, Meng Cao, Ping Huang +1

As the applications of deep learning models on edge devices increase at an accelerating pace, fast adaptation to various scenarios with varying resource constraints has become a cr…

cs.CV2021

Video Frame Interpolation via Structure-Motion based Iterative Fusion

Xi Li, Meng Cao, Yingying Tang +4

Video Frame Interpolation synthesizes non-existent images between adjacent frames, with the aim of providing a smooth and consistent visual experience. Two approaches for solving t…