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个人简介
My projects focus on self-supervised learning to build data-efficient and robust algorithms from sensor-based time-series (PPG, ECG, EEG, IMU, clinical/medical data, wearable sensors). During my internships, I have worked on accent robust speech representation learning and reasoning about music through LLMs.
Research & Industry Experience: 5+ years of experience on crafting robust and data-efficient time-series algorithms for speech, sensory and healthcare applications.
Programming Languages: Python, C, C++, Java, Matlab, SQL, PostgreSQL, Bash Script
Research & Industry Experience: 5+ years of experience on crafting robust and data-efficient time-series algorithms for speech, sensory and healthcare applications.
Programming Languages: Python, C, C++, Java, Matlab, SQL, PostgreSQL, Bash Script
研究兴趣
论文共 13 篇作者统计合作学者相似作者
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PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023pp.3340-3350, (2023)
Xiyuan Zhang, Xiaohan Fu, Diyan Teng, Chengyu Dong, Keerthivasan Vijayakumar, Jiayun Zhang, Ranak Roy Chowdhury, Junsheng Han,Dezhi Hong, Rashmi Kulkarni, Jingbo Shang,Rajesh Gupta
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems (2023)
AAAIno. 6 (2023): 7184-7192
引用3浏览0EI引用
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CoRR (2023): 1-5
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Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022)
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022)
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