H. Wang, Y. Qian, X. Wang, Y. Wang, C. Wang, S. Liu, T. Yoshioka, J. Li and D. L. Wang, “Improving Noise Robustness of Contrastive Speech Representation Learning with Speech Reconstruction,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP}), under review, 2021.

Y. Wang, J. Li, H. Wang, Y. Qian, C. Wang and Y. Wu, “Wav2vec-Switch: Contrastive Learning from Original-noisy Speech Pairs for Robust Speech Recognition,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), under review, 2021.

H. Wang, X. Zhang and D. L. Wang, “Attention-based Fusion for Bone-conducted and Air-conducted Speech Enhancement in the Complex Domain,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), under review, 2021.

H. Wang and D. L. Wang, “Cross-domain Speech Enhancement With A Neural Cascade Architecture,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), under review, 2021.

H. Wang and D. L. Wang, “Neural Cascade Architecture with Triple-domain Loss for Speech Enhancement,” in IEEE/ACM Transactions on Audio, Speech, and Language Processing (IEEE/ACM TASLP), under review.

H. Wang and D. L. Wang, “Towards Robust Speech Super-resolution,” in IEEE/ACM Transactions on Audio, Speech, and Language Processing (IEEE/ACM TASLP), vol. 29, pp. 2058-2066, 2021.

H. Wang and D. L. Wang. “Time-Frequency Loss for CNN Based Speech Super-Resolution,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 861-865, 2020.

H. Wang, R. Mann, and E. R. Vrscay, “A Diffusion-Based Two-Dimensional Empirical Mode Decomposition Algorithm for Image Analysis,” in International Conference Image Analysis and Recognition (ICIAR), pp. 293-305, 2018.