activity
20112023
most citedAn Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis

36 citations · 91 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2023

Self-distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach

Ziyin Zhang, Ning Lu, Minghui Liao +4

Text recognition methods are gaining rapid development. Some advanced techniques, e.g., powerful modules, language models, and un- and semi-supervised learning schemes, consecutive…

cs.IR2023★ 4 cited

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community

Qingyao Ai, Ting Bai, Zhao Cao +30

The research field of Information Retrieval (IR) has evolved significantly, expanding beyond traditional search to meet diverse user information needs. Recently, Large Language Mod…

cs.LG2023★ 36 cited

An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis

Mengxuan Li, Peng Peng, Min Wang +1

Fault detection and diagnosis is significant for reducing maintenance costs and improving health and safety in chemical processes. Convolution neural network (CNN) is a popular dee…

astro-ph.HE2023★ 2 cited

Atlas of dynamic spectra of fast radio burst FRB 20201124A

Bo-Jun Wang, Heng Xu, Jin-Chen Jiang +64

Fast radio bursts (FRBs) are highly dispersed millisecond-duration radio bursts, of which the physical origin is still not fully understood. FRB 20201124A is one of the most active…

physics.ao-ph2022

Large discrepancy between observations and simulations: Implications for urban air quality in China

Xiaokang Chen, Min Wang, Zhe Jiang +10

Chemical transport models (CTMs) have been widely used to provide instructions for the control of ozone (O3) pollution. However, we find large discrepancies between observation- an…

cs.CV2022

FashionVQA: A Domain-Specific Visual Question Answering System

Min Wang, Ata Mahjoubfar, Anupama Joshi

Humans apprehend the world through various sensory modalities, yet language is their predominant communication channel. Machine learning systems need to draw on the same multimodal…