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Kuan-Lin Chen

Orcid: 0009-0005-4067-0927

Affiliations:
  • Apple, Department of Machine Learning Research Engineering Cambridge, MA, USA
  • University of California, San Diego, Meta Reality Labs Research, Department of Electrical and Computer Engineering, La Jolla, CA, USA (PhD 2024)


According to our database1, Kuan-Lin Chen authored at least 13 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources Than Sensors: A Deep Learning Methodology.
[BibTeX]
[DOI]
Kuan-Lin Chen
,
Bhaskar D. Rao
IEEE Trans. Signal Process., 2025

A Comparative Study of Invariance-Aware Loss Functions for Deep Learning-based Gridless Direction-of-Arrival Estimation.
[BibTeX]
[DOI]
Kuan-Lin Chen
,
Bhaskar D. Rao
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

A Structured Neural Network Approach for Learning Improved Iterative Algorithms for SBL.
[BibTeX]
[DOI]
Rushabha Balaji
,
Kuan-Lin Chen
,
Bhaskar D. Rao
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Deep Learning with Estimation and Complexity Guarantees for Signal Processing
[BibTeX]
[DOI]
Kuan-Lin Chen
PhD thesis, 2024

2023
Similar Hierarchical Representation of Speech and Other Complex Sounds In the Brain and Deep Residual Networks: An MEG Study.
[BibTeX]
[DOI]
Tzu-Han Zoe Cheng
,
Kuan-Lin Chen
,
Juliane Schubert
,
Ya-Ping Chen
,
Tim Brown
,
John Iversen
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-Channel Speech Enhancement.
[BibTeX]
[DOI]
Kuan-Lin Chen
,
Daniel D. E. Wong
,
Ke Tan
,
Buye Xu
,
Anurag Kumar
,
Vamsi Krishna Ithapu
Proceedings of the IEEE International Conference on Acoustics, 2023

A DNN Based Normalized Time-Frequency Weighted Criterion for Robust Wideband DoA Estimation.
[BibTeX]
[DOI]
Kuan-Lin Chen
,
Ching Hua Lee
,
Bhaskar D. Rao
,
Harinath Garudadri
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions.
[BibTeX]
[DOI]
Kuan-Lin Chen
,
Harinath Garudadri
,
Bhaskar D. Rao
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees.
[BibTeX]
[DOI]
Kuan-Lin Chen
,
Ching Hua Lee
,
Harinath Garudadri
,
Bhaskar D. Rao
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multirate Audiometric Filter Bank for Hearing Aid Devices.
[BibTeX]
[DOI]
Alice Sokolova
,
Dhiman Sengupta
,
Kuan-Lin Chen
,
Rajesh K. Gupta
,
Baris Aksanli
,
Fredric J. Harris
,
Harinath Garudadri
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Jointly Leveraging Decorrelation and Sparsity for Improved Feedback Cancellation in Hearing Aids.
[BibTeX]
[DOI]
Kuan-Lin Chen
,
Ching Hua Lee
,
Bhaskar D. Rao
,
Harinath Garudadri
Proceedings of the 28th European Signal Processing Conference, 2020

2019
On Mitigating Acoustic Feedback in Hearing Aids with Frequency Warping by All-Pass Networks.
[BibTeX]
[DOI]
Ching Hua Lee
,
Kuan-Lin Chen
,
Fredric J. Harris
,
Bhaskar D. Rao
,
Harinath Garudadri
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

A Generalized Proportionate-Type Normalized Subband Adaptive Filter.
[BibTeX]
[DOI]
Kuan-Lin Chen
,
Ching Hua Lee
,
Bhaskar D. Rao
,
Harinath Garudadri
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019


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