My name is Kuan-Lin Chen and I study a number of subjects in machine learning and signal processing.
- I am a Machine Learning Research Engineer at Apple.
- I completed my Ph.D. in Electrical and Computer Engineering at UC San Diego in 2024.
- I am fortunate to be advised by Bhaskar D.
Rao, an Ericsson Endowed Chair and Distinguished Professor, who leads the UCSD DSP Lab.
- My research was supported by the IEEE SPS Scholarship, the Qualcomm Innovation Fellowship, and the Innovative Research Grants
Award from the Kavli Institute for Brain and Mind.
- I received my B.S.E. degree from the Department of Electrical Engineering at the National Taiwan University
in 2016.
During my Ph.D., I worked in several areas of machine learning and signal processing, including neural networks, deep
learning, representation learning, active learning, adaptive filtering, DoA estimation, speech enhancement,
microphone array processing, feedback/echo cancellation, active noise cancellation, and hearing aids.
News
Publications
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Kuan-Lin Chen, Bhaskar D. Rao
Submitted to the IEEE Transactions on Signal Processing, 2024
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Kuan-Lin Chen, Harinath Garudadri, Bhaskar D. Rao
NeurIPS 2022
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Kuan-Lin Chen, Ching-Hua Lee, Harinath Garudadri, Bhaskar D. Rao
NeurIPS 2021
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Kuan-Lin Chen, Daniel D. E. Wong, Ke Tan, Buye Xu, Anurag Kumar, Vamsi Krishna
Ithapu
ICASSP 2023
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Kuan-Lin Chen, Ching-Hua Lee, Bhaskar D. Rao, Harinath Garudadri
ICASSP 2023
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Tzu-Han Zoe Cheng, Kuan-Lin Chen, Juliane Schubert, Ya-Ping Chen, Tim Brown, John
Iversen
Interspeech 2023
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Alice Sokolova, Dhiman Sengupta, Kuan-Lin Chen, Rajesh Gupta, Baris Aksanli, Fredric
Harris, Harinath Garudadri
ACSSC 2021
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Kuan-Lin Chen, Ching-Hua Lee, Bhaskar D. Rao, Harinath Garudadri
EUSIPCO 2020
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Kuan-Lin Chen, Ching-Hua Lee, Bhaskar D. Rao, Harinath Garudadri
ACSSC 2019
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Ching-Hua Lee, Kuan-Lin Chen, Fred Harris, Bhaskar D. Rao, Harinath Garudadri
Interspeech 2019
Work experience
- [Sept. - Dec. 2022] Part-time Student Researcher at Meta Reality Labs Research, Redmond, WA
(remote)
- [June - Sept. 2022] Research Scientist Intern at Meta Reality Labs Research, Redmond, WA
- [June - Sept. 2021] Research Intern at Facebook Reality Labs Research, Redmond, WA (remote)
- [June - Sept. 2019] Intern at Qualcomm, San Diego, CA
Teaching
- [Fall 2023] Teaching assistant of ECE 174 (Introduction to Linear and Nonlinear
Optimization with Applications) taught by Prof. Piya Pal.
Services
Reviewers
- Conference on Neural Information Processing Systems (NeurIPS) 2023
- International Conference on Learning Representations (ICLR) 2024
- International Conference on Machine Learning (ICML) 2024
- AAAI Conference on Artificial Intelligence (AAAI) 2025
- IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021-2024
- IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 2021-2023
- The Journal of the Acoustical Society of America (JASA) 2022, 2024
Other Presentations
- Empowering
Speech Processing
with Deep Neural Networks: Theory and Applications
ICASSP Rising Stars
Workshop,
Rhodes, Greece, June 2023
- Improved Bounds on
Neural Complexity for Representing Piecewise Linear Functions
Spring 2023
CWC Research
Review, Rady School of Management, UC San Diego, May
2023
- ResNEsts and
DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
5G and Beyond
Forum,
Innovating 5G - Envisioning 6G, Atkinson Hall, UC San Diego,
November 2021