淘料视频

Dr Feng Hou staff profile picture

Contact details +64 (09) 414 0800

Dr Feng Hou PhD

Postdoctoral Fellow in Speech Processing

Doctoral Co-Supervisor
School of Mathematical and Computational Sciences

My research areas include natural language processing, speech processing, machine learning and deep learning.

Professional

Contact details

  • Location: 2.16, Mathematics Building
    Campus: Auckland

Qualifications

  • Doctor of Philosophy - 淘料视频 (2021)

Certifications and Registrations

  • Licence, Co-Supervisor, 淘料视频

Research Expertise

Research Interests

Natural lanauge processing, Speech processing

Area of Expertise

Field of research codes
Artificial Intelligence and Image Processing (080100): Information And Computing Sciences (080000): Natural Language Processing (080107)

Research Outputs

Journal

Hou, F., Wang, R., Ng, SK., Zhu, F., Witbrock, M., Cahan, SF., . . . Jia, X. (2024). Anisotropic span embeddings and the negative impact of higher-order inference for coreference resolution: An empirical analysis. Natural Language Engineering.
[Journal article]Authored by: Hou, F., Wang, R.
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Jia, X., Pang, Y., Huang, B., & Hou, F. (2023). Understanding consumers’ continuance intention to watch streams: A value-based continuance intention model. Frontiers in Psychology. 14
[Journal article]Authored by: Hou, F.
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12
Hong, R., Yao, F., Liao, T., Xing, L., Cai, Z., & Hou, F. (2023). Growing neural gas assisted evolutionary many-objective optimization for handling irregular Pareto fronts. Swarm and Evolutionary Computation. 78
[Journal article]Authored by: Hou, F.
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6
Xing, L., Li, J., Cai, Z., & Hou, F. (2023). A Two-State Dynamic Decomposition-Based Evolutionary Algorithm for Handling Many-Objective Optimization Problems. Mathematics. 11(3)
[Journal article]Authored by: Hou, F.
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Hou, F., Wang, R., Ng, SK., Witbrock, M., Zhu, F., & Jia, X. (2023). Exploiting anonymous entity mentions for named entity linking. Knowledge and Information Systems. 65(3), 1221-1242
[Journal article]Authored by: Hou, F., Wang, R.
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2

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Wang, R., Hou, F., Cahan, SF., Chen, L., Jia, X., & Ji, W. (2023). Fine-Grained Entity Typing With a Type Taxonomy: A Systematic Review. IEEE Transactions on Knowledge and Data Engineering. 35(5), 4794-4812
[Journal article]Authored by: Hou, F., Wang, R.
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2
Qiu, Y., Wang, R., Hou, F., Singh, S., Ma, Z., & Jia, X. (2022). Adversarial multi-task learning with inverse mapping for speech enhancement. Applied Soft Computing. 120
[Journal article]Authored by: Hou, F., Wang, R.
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10
Hou, F., Wang, R., & Zhou, Y. (2021). Transfer learning for fine-grained entity typing. Knowledge and Information Systems. 63(4), 845-866
[Journal article]Authored by: Hou, F., Wang, R.
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7
Ji, W., Pang, Y., Jia, X., Wang, Z., Hou, F., Song, B., . . . Wang, R. (2021). Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 11(3)
[Journal article]Authored by: Hou, F., Wang, R.
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43
3
Li, X., Wu, Y., Zhang, W., Wang, R., & Hou, F. (2020). Deep learning methods in real-time image super-resolution: a survey. Journal of Real-Time Image Processing. 17(6), 1885-1909
[Journal article]Authored by: Hou, F., Wang, R.
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31
9
Hou, F., Wang, C., & Li, G. (2009). Survey on the opinion mining summarization and retrieval. Computer Science. (7), 15-19
[Journal article]Authored by: Hou, F.

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Conference

Jiang, T., Zong, M., Ma, Y., Hou, F., & Wang, R.MobileACNet: ACNet-Based Lightweight Model for Image Classification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). (pp. 361 - 372). 0302-9743.
[Conference]Authored by: Hou, F., Wang, R.
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2
Ma, Z., Ma, J., Liu, X., & Hou, F.Large Margin Training for Long Short-Term Memory Neural Networks in Neural Language Modeling. 2022 5th International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2022. (pp. 673 - 677).
[Conference]Authored by: Hou, F.
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1
Ma, Z., Singh, S., Qiu, Y., Hou, F., Wang, R., Bullen, C., . . . Chu, JTW.Automatic Speech-Based Smoking Status Identification. Lecture Notes in Networks and Systems. (pp. 193 - 203). 2367-3370.
[Conference]Authored by: Hou, F., Wang, R.
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3
Wang, Z., Hou, F., Qiu, Y., Ma, Z., Singh, S., & Wang, R. (2022). CyclicAugment: Speech Data Random Augmentation with Cosine Annealing Scheduler for Automatic Speech Recognition. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Vol. 2022-September (pp. 3859 - 3863).
[Conference Paper in Published Proceedings]Authored by: Hou, F., Wang, R.
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5
Ma, Z., Qiu, Y., Hou, F., Wang, R., Chu, JTW., & Bullen, C. (2022). DETERMINING THE BEST ACOUSTIC FEATURES FOR SMOKER IDENTIFICATION. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2022-May (pp. 8177 - 8181).
[Conference Paper in Published Proceedings]Authored by: Hou, F., Wang, R.
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5

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Singh, S., Wang, R., & Hou, F. (2022). IMPROVED META LEARNING FOR LOW RESOURCE SPEECH RECOGNITION. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2022-May (pp. 4798 - 4802).
[Conference Paper in Published Proceedings]Authored by: Hou, F., Wang, R.
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17
Qiu, Y., Wang, R., Singh, S., Ma, Z., & Hou, F. (2021). Self-supervised learning based phone-fortified speech enhancement. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Vol. 4 (pp. 2793 - 2797).
[Conference Paper in Published Proceedings]Authored by: Hou, F., Wang, R.
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2
Hou, F., Wang, R., He, J., & Zhou, Y. (2020). Improving entity linking through semantic reinforced entity embeddings. Proceedings of the Annual Meeting of the Association for Computational Linguistics. (pp. 6843 - 6848).
[Conference Paper in Published Proceedings]Authored by: Hou, F., Wang, R.
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31
Wang, Z., Wang, C., & Hou, F. (2008). An effective method for support vectors selection in Kernel space. Proceedings of International Conference on Computer Science and Software Engineering.
[Conference Paper in Published Proceedings]Authored by: Hou, F.
Hou, F., & Li, G. (2008). Mining Chinese comparative sentences by semantic role labeling. Proceedings of International Conference on Machine Learning and Cybernetics.
[Conference Paper in Published Proceedings]Authored by: Hou, F.
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Teaching and Supervision

Contact Supervisor

Summary of Doctoral Supervision

Position Current Completed
Co-supervisor 1 2

Current Doctoral Supervision

Co-supervisor of:

  • Aeryn Dunmore - Doctor of Philosophy
    Multimodal Emotion Recognition

Completed Doctoral Supervision

Co-supervisor of:

  • 2023 - ~ Satwinder Singh - Doctor of Philosophy
    End-to-End Automatic Speech Recognition for Low-Resource Languages
  • 2021 - Yuanhang Qiu - Doctor of Philosophy
    Deep Learning for Speech Enhancement