GCS 42018-1136Yuan Gong (龚元)

Graduate Research Assistant
Computer Science and Engineering
University of Notre Dame
247B Fitzpatrick Hall
Notre Dame, IN 46556
Phone: (574) 401-0833
Email: ygong1@nd.edu

Research


My research interest is computational speech and audio signal analysis, includes the following topics: speech-based healthcare applications, speech related computer security and privacy, and speech/audio processing algorithm design. I am IEEE, ACM, ISCA, and AAAC member. My research advisor is Dr.Christian Poellabauer. [CV] [Google Scholar] [Research Gate]

Education


2015.8 – Ph.D. Candidate, Computer Science and Engineering, University of Notre Dame, IN, USA  (GPA: 4.0/4.0)

2015.7   B.Sc., Electrical Engineering (Biomedical Engineering Major), Fudan University, Shanghai, China. (GPA Rank: 1/15)

Experience


2019.5 – Present   Applied Scientist Intern, Amazon Web Service, Seattle, USA

2015.8 – Present   Graduate Research Assistant, University of Notre Dame, Notre Dame, USA

2014.6 – 2015.7    Undergraduate Research Assistant, Fudan University, Shanghai, China

2014.7 – 2014.8    Intern, Philips Healthcare, Shanghai, China

Publications


  • Yuan Gong, Jian Yang, Jacob Huber, Mitchell MacKnight, Christian Poellabauer, “ReMASC: Realistic Replay Attack Corpus for Voice Controlled Systems“, Proceedings of the 20th Conference of the International Speech Communication Association (Interspeech 2019), Graz, Austria, September 2019 (accepted, to appear). [Paper][Dataset]
  • Yuan Gong, Boyang Li, Christian Poellabauer, and Yiyu Shi, “Real-time Adversarial Attack“, Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, August 2019 (accepted, to appear). [Paper]
  • Yuan Gong and Christian Poellabauer, Deep Obfuscation: Precise Masking of Sensitive Information to Protect Against Machine Learning Adversaries (Poster)”, Proceedings of the 2018 Annual Computer Security Applications Conference Poster Session, San Juan, Puerto Rico, December 2018.
  • Yuan Gong and Christian Poellabauer, “Crafting Adversarial Examples For Speech Paralinguistics Applications”, Proceedings of the DYnamic and Novel Advances in Machine Learning and Intelligent Cyber Security (DYNAMICS) Workshop, San Juan, Puerto Rico, December 2018. [Paper]
  • Yuan Gong and Christian Poellabauer, “Impact of Aliasing on Deep CNN-Based End-to-End Acoustic Models”, Proceedings of the 19th Conference of the International Speech Communication Association (Interspeech 2018), Hyderabad, India, September 2018. (Oral) [Paper]
  • Yuan Gong, Kevin Shin, and Christian Poellabauer, “Improving LIWC Using Soft Word Matching (Poster)”, Proceedings of the 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), Washington, DC, August-September 2018. [Paper]
  • Yuan Gong, Hasini Yatawatte, Christian Poellabauer, Sandra Schneider, and Susan Latham, “Automatic Autism Spectrum Disorder Detection Using Everyday Vocalizations Captured by Smart Devices”, Proceedings of the 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), Washington, DC, August-September 2018. (Oral) [Paper]
  • Yuan Gong and Christian Poellabauer, “Protecting Voice Controlled Systems Using Sound Source Identification Based on Acoustic Cues”, Proceedings of the 27th International Conference on Computer Communications and Networks (ICCCN), Hangzhou, China, July-August 2018. (Oral) [Paper]
  • Yuan Gong and Christian Poellabauer, “An Overview of Vulnerabilities of Voice Controlled Systems”, Proceedings of the 1st International Workshop on Security and Privacy for the Internet-of-Things (IoTSec), Orlando, FL, April 2018. (Oral) [Paper]
  • Yuan Gong and Christian Poellabauer, “Topic Modeling Based Multi-modal Depression Detection“, Proceedings of the 7th Audio/Visual Emotion Challenge and Workshop (AVEC), Mountain View, CA, October 2017. (Oral) (Depression Challenge Winner) [Paper]
  • Yuan Gong and Christian Poellabauer, “Continuous Assessment of Children’s Emotional States using Acoustic Analysis”, Proceedings of the 5th IEEE International Conference on Healthcare Informatics (ICHI), Park City, UT, August 2017. (Oral) [Paper]
  • Yuan Gong, Jin Cao, Zehui Luo, Guohui Zhou. “基于 MSP430F5529 及 CC2540 的智能型低功耗心电监测仪” (A Smart Low-Power-Consumption ECG Monitor Based on MSP430F5529 and CC2540), Chinese Journal of medical instrumentation 39.4 (2015). (Corresponding Project won TI National Biomedical Device Design Contest) [Paper]

Preprint


Awards


ISCA Travel Grant (Interspeech 2018)

AVEC Depression Sub-challenge Winner (2017)

Outstanding Graduate of Fudan University (2015), Fudan First Prize Scholarship (Top 3%, 2014),  Outstanding Student of Dept. of Information Technology (2013),  Outstanding Student of Fudan University (2012)

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