2 citations · 3 across the 5 of their papers we have counts for
5 papers
CN 2-1 and CS 5-4 observations toward Arp 299 with the SMA
Junzhi Wang, Chunhua Qi, Shanghuo Li +1
Dense gas is the key for understanding star formation in galaxies. We present high resolution () observations of CN 2-1 and CS 5-4 as dense gas tracers toward Arp 299, a m…
Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks
Guoming Long, Tao Chen, Georgina Cosma
Non-functional bugs (e.g., performance- or accuracy-related bugs) in Deep Learning (DL) frameworks can lead to some of the most devastating consequences. Reporting those bugs on a…
On Reporting Performance and Accuracy Bugs for Deep Learning Frameworks: An Exploratory Study from GitHub
Guoming Long, Tao Chen
The tremendous success of Deep Learning (DL) has significantly boosted the number of open-sourced DL frameworks hosted on GitHub. Among others, performance and accuracy bugs are cr…
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
Tao Chen, Haizhou Shi, Siliang Tang +3
The journey of reducing noise from distant supervision (DS) generated training data has been started since the DS was first introduced into the relation extraction (RE) task. For t…
Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
Tao Chen, Haochen Shi, Liyuan Liu +4
With recent advances in distantly supervised (DS) relation extraction (RE), considerable attention is attracted to leverage multi-instance learning (MIL) to distill high-quality su…