343 citations · 662 across the 18 of their papers we have counts for
19 papers
Experimental Limits on Solar Reflected Dark Matter with a New Approach on Accelerated-Dark-Matter-Electron Analysis in Semiconductors
Z. Y. Zhang, L. T. Yang, Q. Yue +81
Recently a dark matter-electron (DM-electron) paradigm has drawn much attention. Models beyond the standard halo model describing DM accelerated by high energy celestial bodies are…
DESI Complete Calibration of the Color-Redshift Relation (DC3R2): Results from early DESI data
J. McCullough, D. Gruen, A. Amon +46
We present initial results from the Dark Energy Spectroscopic Instrument (DESI) Complete Calibration of the Color-Redshift Relation (DC3R2) secondary target survey. Our analysis us…
Projected WIMP sensitivity of the CDEX-50 dark matter experiment
X. P. Geng, L. T. Yang, Q. Yue +81
CDEX-50 is a next-generation project of the China Dark Matter Experiment (CDEX) that aims to search for dark matter using a 50-kg germanium detector array. This paper comprises a t…
Recommending Analogical APIs via Knowledge Graph Embedding
Mingwei Liu, Yanjun Yang, Yiling Lou +4
Library migration, which re-implements the same software behavior by using a different library instead of using the current one, has been widely observed in software evolution. One…
Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane
S. Kent, E. Neilsen, K. Honscheid +46
The Dark Energy Spectroscopic Instrument, consisting of 5020 robotic fiber positioners and associated systems on the Mayall telescope at Kitt Peak, Arizona, is carrying out a surve…
The Early Data Release of the Dark Energy Spectroscopic Instrument
DESI Collaboration, A. G. Adame, J. Aguilar +266
The Dark Energy Spectroscopic Instrument (DESI) completed its five-month Survey Validation in May 2021. Spectra of stellar and extragalactic targets from Survey Validation constitu…
Train Global, Tailor Local: Minimalist Multilingual Translation into Endangered Languages
Zhong Zhou, Jan Niehues, Alex Waibel
In many humanitarian scenarios, translation into severely low resource languages often does not require a universal translation engine, but a dedicated text-specific translation en…
STCF Conceptual Design Report: Volume 1 -- Physics & Detector
M. Achasov, X. C. Ai, R. Aliberti +424
The Super -Charm facility (STCF) is an electron-positron collider proposed by the Chinese particle physics community. It is designed to operate in a center-of-mass energy range…
Temperature control of diffusive memristor hysteresis and artificial neuron spiking
D. P Pattnaik, Y. Ushakov, Z. Zhou +5
Memristive devices are promising elements for energy-efficient neuromorphic computing and future artificial intelligence systems. For diffusive memristors, the device state switchi…
SIGAN: A Novel Image Generation Method for Solar Cell Defect Segmentation and Augmentation
Binyi Su, Zhong Zhou, Haiyong Chen +1
Solar cell electroluminescence (EL) defect segmentation is an interesting and challenging topic. Many methods have been proposed for EL defect detection, but these methods are stil…
Family of Origin and Family of Choice: Massively Parallel Lexiconized Iterative Pretraining for Severely Low Resource Machine Translation
Zhong Zhou, Alex Waibel
We translate a closed text that is known in advance into a severely low resource language by leveraging massive source parallelism. In other words, given a text in 124 source langu…
Gun Source and Muzzle Head Detection
Zhong Zhou, Isak Czeresnia Etinger, Florian Metze +2
There is a surging need across the world for protection against gun violence. There are three main areas that we have identified as challenging in research that tries to curb gun v…
Gated Path Selection Network for Semantic Segmentation
Qichuan Geng, Hong Zhang, Xiaojuan Qi +3
Semantic segmentation is a challenging task that needs to handle large scale variations, deformations and different viewpoints. In this paper, we develop a novel network named Gate…
SANTLR: Speech Annotation Toolkit for Low Resource Languages
Xinjian Li, Zhong Zhou, Siddharth Dalmia +2
While low resource speech recognition has attracted a lot of attention from the speech community, there are a few tools available to facilitate low resource speech collection. In t…
Part-level Car Parsing and Reconstruction from Single Street View
Qichuan Geng, Hong Zhang, Xinyu Huang +5
Part information has been shown to be resistant to occlusions and viewpoint changes, which is beneficial for various vision-related tasks. However, we found very limited work in ca…
Paraphrases as Foreign Languages in Multilingual Neural Machine Translation
Zhong Zhou, Matthias Sperber, Alex Waibel
Paraphrases, the rewordings of the same semantic meaning, are useful for improving generalization and translation. However, prior works only explore paraphrases at the word or phra…
A Network Structure to Explicitly Reduce Confusion Errors in Semantic Segmentation
Qichuan Geng, Xinyu Huang, Zhong Zhou +1
Confusing classes that are ubiquitous in real world often degrade performance for many vision related applications like object detection, classification, and segmentation. The conf…
Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation
Zhong Zhou, Matthias Sperber, Alex Waibel
We work on translation from rich-resource languages to low-resource languages. The main challenges we identify are the lack of low-resource language data, effective methods for cro…
Tweet2Vec: Character-Based Distributed Representations for Social Media
Bhuwan Dhingra, Zhong Zhou, Dylan Fitzpatrick +2
Text from social media provides a set of challenges that can cause traditional NLP approaches to fail. Informal language, spelling errors, abbreviations, and special characters are…