Authentication and Usability in mHealth Apps. - Zhongwei Teng; Peng Zhang 034; Xiao Li; William Nock; Marcelino Rodriguez-Cancio; Jules White; Douglas C. Schmidt; Denis Gilmore; Jonathan C. Nesbitt (HealthCom, 2018)

Detecting web attacks with end-to-end deep learning. - Yao Pan; Fangzhou Sun; Zhongwei Teng; Jules White; Douglas C. Schmidt; Jacob Staples; Lee Krause (J. Internet Serv. Appl., 2019)

NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands. - Mayank Agarwal; Tathagata Chakraborti; Quchen Fu; David Gros; Xi Victoria Lin; Jaron Maene; Kartik Talamadupula; Zhongwei Teng; Jules White (NeurIPS (Competition and Demos), 2020)

A Transformer-based Approach for Translating Natural Language to Bash Commands. - Quchen Fu; Zhongwei Teng; Jules White; Douglas C. Schmidt (ICMLA, 2021)

Sketch2Vis: Generating Data Visualizations from Hand-drawn Sketches with Deep Learning. - Zhongwei Teng; Quchen Fu; Jules White; Douglas C. Schmidt (ICMLA, 2021)

Complementing Handcrafted Features with Raw Waveform Using a Light-weight Auxiliary Model. - Zhongwei Teng; Quchen Fu; Jules White; Maria E. Powell; Douglas C. Schmidt (CoRR, 2021)

FastAudio: A Learnable Audio Front-End For Spoof Speech Detection. - Quchen Fu; Zhongwei Teng; Jules White; Maria E. Powell; Douglas C. Schmidt (ICASSP, 2022)

ARawNet: A Lightweight Solution for Leveraging Raw Waveforms in Spoof Speech Detection. - Zhongwei Teng; Quchen Fu; Jules White; Maria E. Powell; Douglas C. Schmidt (ICPR, 2022)

SA-SASV: An End-to-End Spoof-Aggregated Spoofing-Aware Speaker Verification System. - Zhongwei Teng; Quchen Fu; Jules White; Maria E. Powell; Douglas C. Schmidt (INTERSPEECH, 2022)

Deep Learning Models on CPUs: A Methodology for Efficient Training. - Quchen Fu; Ramesh Chukka; Keith Achorn; Thomas Atta-fosu; Deepak R. Canchi; Zhongwei Teng; Jules White; Douglas C. Schmidt (CoRR, 2022)

NL2CMD: An Updated Workflow for Natural Language to Bash Commands Translation. - Quchen Fu; Zhongwei Teng; Marco Georgaklis; Jules White; Douglas C. Schmidt (CoRR, 2023)