A Generalized Proportionate-Type Normalized Subband Adaptive Filter. - Kuan-Lin Chen 002; Ching Hua Lee; Bhaskar D. Rao; Harinath Garudadri (ACSSC, 2019)

On Mitigating Acoustic Feedback in Hearing Aids with Frequency Warping by All-Pass Networks. - Ching Hua Lee; Kuan-Lin Chen 002; Fredric J. Harris; Bhaskar D. Rao; Harinath Garudadri (INTERSPEECH, 2019)

Jointly Leveraging Decorrelation and Sparsity for Improved Feedback Cancellation in Hearing Aids. - Kuan-Lin Chen 002; Ching Hua Lee; Bhaskar D. Rao; Harinath Garudadri (EUSIPCO, 2020)

Multirate Audiometric Filter Bank for Hearing Aid Devices. - Alice Sokolova; Dhiman Sengupta; Kuan-Lin Chen 002; Rajesh K. Gupta 001; Baris Aksanli; Fredric J. Harris; Harinath Garudadri (ACSCC, 2021)

ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees. - Kuan-Lin Chen 002; Ching Hua Lee; Harinath Garudadri; Bhaskar D. Rao (NeurIPS, 2021)

Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions. - Kuan-Lin Chen 002; Harinath Garudadri; Bhaskar D. Rao (NeurIPS, 2022)

A DNN Based Normalized Time-Frequency Weighted Criterion for Robust Wideband DoA Estimation. - Kuan-Lin Chen 002; Ching Hua Lee; Bhaskar D. Rao; Harinath Garudadri (ICASSP, 2023)

Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-Channel Speech Enhancement. - Kuan-Lin Chen 002; Daniel D. E. Wong; Ke Tan 001; Buye Xu; Anurag Kumar 003; Vamsi Krishna Ithapu (ICASSP, 2023)

Similar Hierarchical Representation of Speech and Other Complex Sounds In the Brain and Deep Residual Networks: An MEG Study. - Tzu-Han Zoe Cheng; Kuan-Lin Chen 002; Juliane Schubert; Ya-Ping Chen; Tim Brown; John Iversen (INTERSPEECH, 2023)

Deep Learning with Estimation and Complexity Guarantees for Signal Processing - Kuan-Lin Chen 002 (2024)

A Structured Neural Network Approach for Learning Improved Iterative Algorithms for SBL. - Rushabha Balaji; Kuan-Lin Chen 002; Bhaskar D. Rao (ICASSP, 2025)

A Comparative Study of Invariance-Aware Loss Functions for Deep Learning-based Gridless Direction-of-Arrival Estimation. - Kuan-Lin Chen 002; Bhaskar D. Rao (ICASSP, 2025)

Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources Than Sensors: A Deep Learning Methodology. - Kuan-Lin Chen 002; Bhaskar D. Rao (IEEE Trans. Signal Process., 2025)