Kuan-Lin Chen

20 papers A* 2A 2Misc 5Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 Misc conf
A Comparative Study of Invariance-Aware Loss Functions for Deep Learning-based Gridless Direction-of-Arrival Estimation.
ICASSP
Kuan-Lin Chen, Bhaskar D. Rao
2025 J jnl
A Comparative Study of Invariance-Aware Loss Functions for Deep Learning-based Gridless Direction-of-Arrival Estimation.
CoRR
Kuan-Lin Chen, Bhaskar D. Rao
2025 Misc conf
A Structured Neural Network Approach for Learning Improved Iterative Algorithms for SBL.
ICASSP
Rushabha Balaji, Kuan-Lin Chen, Bhaskar D. Rao
2025 J jnl
Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources Than Sensors: A Deep Learning Methodology.
IEEE Trans. Signal Process.
Kuan-Lin Chen, Bhaskar D. Rao
2024 — —
Deep Learning with Estimation and Complexity Guarantees for Signal Processing
Kuan-Lin Chen
2024 J jnl
Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology.
CoRR
Kuan-Lin Chen, Bhaskar D. Rao
2023 Misc conf
A DNN Based Normalized Time-Frequency Weighted Criterion for Robust Wideband DoA Estimation.
ICASSP
Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri
2023 J jnl
A DNN based Normalized Time-frequency Weighted Criterion for Robust Wideband DoA Estimation.
CoRR
Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri
2023 Misc conf
Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-Channel Speech Enhancement.
ICASSP
Kuan-Lin Chen, Daniel D. E. Wong, Ke Tan, Buye Xu, Anurag Kumar, Vamsi Krishna Ithapu
2023 A conf
Similar Hierarchical Representation of Speech and Other Complex Sounds In the Brain and Deep Residual Networks: An MEG Study.
INTERSPEECH
Tzu-Han Zoe Cheng, Kuan-Lin Chen, Juliane Schubert, Ya-Ping Chen, Tim Brown, John Iversen
2022 A* conf
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions.
NeurIPS
Kuan-Lin Chen, Harinath Garudadri, Bhaskar D. Rao
2022 J jnl
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions.
CoRR
Kuan-Lin Chen, Harinath Garudadri, Bhaskar D. Rao
2022 J jnl
Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-channel Speech Enhancement.
CoRR
Kuan-Lin Chen, Daniel D. E. Wong, Ke Tan, Buye Xu, Anurag Kumar, Vamsi Krishna Ithapu
2021 J jnl
A Generalized Proportionate-Type Normalized Subband Adaptive Filter.
CoRR
Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri
2021 — conf
Multirate Audiometric Filter Bank for Hearing Aid Devices.
ACSCC
Alice Sokolova, Dhiman Sengupta, Kuan-Lin Chen, Rajesh K. Gupta, Baris Aksanli, Fredric J. Harris, Harinath Garudadri
2021 A* conf
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees.
NeurIPS
Kuan-Lin Chen, Ching Hua Lee, Harinath Garudadri, Bhaskar D. Rao
2021 J jnl
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees.
CoRR
Kuan-Lin Chen, Ching Hua Lee, Harinath Garudadri, Bhaskar D. Rao
2020 — conf
Jointly Leveraging Decorrelation and Sparsity for Improved Feedback Cancellation in Hearing Aids.
EUSIPCO
Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri
2019 Misc conf
A Generalized Proportionate-Type Normalized Subband Adaptive Filter.
ACSSC
Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri
2019 A conf
On Mitigating Acoustic Feedback in Hearing Aids with Frequency Warping by All-Pass Networks.
INTERSPEECH
Ching Hua Lee, Kuan-Lin Chen, Fredric J. Harris, Bhaskar D. Rao, Harinath Garudadri