most citedSynergy between Machine/Deep Learning and Software Engineering: How Far Are We?

15 citations · 31 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SE202015 cited

Synergy between Machine/Deep Learning and Software Engineering: How Far Are We?

Simin Wang, Liguo Huang, Jidong Ge +5

Since 2009, the deep learning revolution, which was triggered by the introduction of ImageNet, has stimulated the synergy between Machine Learning (ML)/Deep Learning (DL) and Softw…

eess.AS20205 cited

Cross-lingual Multispeaker Text-to-Speech under Limited-Data Scenario

Zexin Cai, Yaogen Yang, Ming Li

Modeling voices for multiple speakers and multiple languages in one text-to-speech system has been a challenge for a long time. This paper presents an extension on Tacotron2 to ach…

physics.atom-ph202011 cited

Photon-mediated charge-exchange reactions between 39K atoms and 40Ca+ ions in a hybrid trap

Hui Li, S. Jyothi, Ming Li +4

We present experimental evidence of charge exchange between laser-cooled potassium K atoms and calcium Ca ions in a hybrid atom-ion trap and give quantitative the…

cond-mat.stat-mech2020

History-dependent percolation on multiplex networks

Ming Li, Linyuan Lü, Youjin Deng +4

The structure of interconnected systems and its impact on the system dynamics is a much-studied cross-disciplinary topic. Although various critical phenomena have been found in dif…

physics.atom-ph2019

Feshbach resonances in -wave three-body recombination within Fermi-Fermi mixtures of open-shell Li and closed-shell Yb atoms

Alaina Green, Hui Li, Jun Hui See Toh +6

We report on observations and modeling of interspecies magnetic Feshbach resonances in dilute ultracold mixtures of open-shell alkali-metal Li and closed-shell Yb atoms…