Hu Hu
Orcid: 0000-0003-2101-8317Affiliations:
- Zhejiang University, College of Computer Science and Technology, Hangzhou, China
According to our database1,
Hu Hu
authored at least 31 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Bayesian adaptive learning to latent variables via Variational Bayes and Maximum a Posteriori.
CoRR, 2024
2023
2022
A Study on Joint Modeling and Data Augmentation of Multi-Modalities for Audio-Visual Scene Classification.
Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming.
CoRR, 2021
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification.
CoRR, 2021
Adaptive Reservoir Inflow Forecasting Using Variational Mode Decomposition and Long Short-Term Memory.
IEEE Access, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
REDAT: Accent-Invariant Representation for End-To-End ASR by Domain Adversarial Training with Relabeling.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation.
Knowl. Based Syst., 2020
Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation.
CoRR, 2020
Multiobjective Long-Term Generation Scheduling of Cascade Hydroelectricity System Using a Quantum-Behaved Particle Swarm Optimization Based on Decomposition.
IEEE Access, 2020
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement.
Proceedings of the Interspeech 2020, 2020
Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification.
Proceedings of the Interspeech 2020, 2020
An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances.
Proceedings of the Interspeech 2020, 2020
Tensor-To-Vector Regression for Multi-Channel Speech Enhancement Based on Tensor-Train Network.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Exploring Pre-Training with Alignments for RNN Transducer Based End-to-End Speech Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Data augmentation using generative adversarial networks for robust speech recognition.
Speech Commun., 2019
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
2018
Maximal-Discernibility-Pair-Based Approach to Attribute Reduction in Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2018
IEEE Trans. Fuzzy Syst., 2018
Adaptive Very Deep Convolutional Residual Network for Noise Robust Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2018
Data Augmentation using Conditional Generative Adversarial Networks for Robust Speech Recognition.
Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Generative Adversarial Networks Based Data Augmentation for Noise Robust Speech Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
IEEE Trans. Cybern., 2017
2016
Attribute reduction in interval-valued information systems based on information entropies.
Frontiers Inf. Technol. Electron. Eng., 2016
DualPOS: A Semi-supervised Attribute Selection Approach for Symbolic Data Based on Rough Set Theory.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016
Semi-supervised Clustering Based on Artificial Bee Colony Algorithm with Kernel Strategy.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016