۶Ƶ

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 - ۶Ƶ (2021)

Certifications and Registrations

  • Licence, Co-Supervisor, ۶Ƶ

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

Wang, Y., Wang, R., Liu, J., Xu, R., Wang, T., Hou, F., . . . Lei, N. (2025). TFGNet: Frequency-guided saliency detection for complex scenes. Applied Soft Computing. 170
[Journal article]Authored by: Hou, F., Wang, R.
Wang, R., Wang, Z., Liu, J., del Bimbo, A., Zhou, J., Basu, A., . . . Chu, WT. (2024). Preface. Proceedings of the 6th ACM International Conference on Multimedia in Asia, MMAsia 2024.
[Journal article]Authored by: Hou, F., Wang, R.
Jiang, T., Wang, Y., Hou, F., & Wang, R. (2024). IENet: inheritance enhancement network for video salient object detection. Multimedia Tools and Applications. 83(28), 72007-72026
[Journal article]Authored by: Hou, F., Wang, R.
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. 30(6), 1301-1322
[Journal article]Authored by: Hou, F., Wang, R.
Singh, S., Hou, F., & Wang, R. (2024). Real and synthetic Punjabi speech datasets for automatic speech recognition. Data in Brief. 52
[Journal article]Authored by: Hou, F., Wang, R.
Guo, T., Hou, F., Pang, Y., Jia, X., Wang, Z., & Wang, R. (2023). Learning and integration of adaptive hybrid graph structures for multivariate time series forecasting. Information Sciences. 648
[Journal article]Authored by: Hou, F., Wang, R.
Li, J., Xing, L., Zhong, W., Cai, Z., & Hou, F. (2023). Decision variable contribution based adaptive mechanism for evolutionary multi-objective cloud workflow scheduling. Complex and Intelligent Systems. 9(6), 7337-7348
[Journal article]Authored by: Hou, F.
Xing, L., Li, J., Cai, Z., & Hou, F. (2023). Evolutionary Optimization of Energy Consumption and Makespan of Workflow Execution in Clouds. Mathematics. 11(9)
[Journal article]Authored by: Hou, F.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Conference

Gao, Y., Wang, R., & Hou, F. (2024). How to Design Translation Prompts for ChatGPT: An Empirical Study. Proceedings of the 6th ACM International Conference on Multimedia in Asia Workshops, MMAsia 2024 Workshops.
[Conference Paper in Published Proceedings]Authored by: Hou, F.
Lei, C., Singh, S., Hou, F., & Wang, R. (2024). Mix-fine-tune: An Alternate Fine-tuning Strategy for Domain Adaptation and Generalization of Low-resource ASR. Proceedings of the 6th ACM International Conference on Multimedia in Asia, MMAsia 2024.
[Conference Paper in Published Proceedings]Authored by: Hou, F.
Gao, Y., Hou, F., & Wang, R. (2024). Incorporating Pre-ordering Representations for Low-resource Neural Machine Translation. Proceedings of the 6th ACM International Conference on Multimedia in Asia, MMAsia 2024.
[Conference Paper in Published Proceedings]Authored by: Hou, F.
Jiang, T., Hou, F., & Wang, Y. (2024). Multimodal Energy Prompting for Video Salient Object Detection. Proceedings of the 6th ACM International Conference on Multimedia in Asia, MMAsia 2024.
[Conference Paper in Published Proceedings]Authored by: Hou, F.
Wang, C., Hou, F., Wang, Y., & Wang, R. (2024). Structured Bipartite Graph Ensemble Clustering. Proceedings of the 6th ACM International Conference on Multimedia in Asia, MMAsia 2024.
[Conference Paper in Published Proceedings]Authored by: Hou, F.
Gao, Y., Hou, F., & Wang, R. (2024). A Novel Two-step Fine-tuning Framework for Transfer Learning in Low-Resource Neural Machine Translation. Findings of the Association for Computational Linguistics: NAACL 2024 - Findings. (pp. 3214 - 3224).
[Conference Paper in Published Proceedings]Authored by: Hou, F., Wang, R.
Gao, Y., Hou, F., Jahnke, H., & Wang, R.Data Augmentation with Diversified Rephrasing for Low-Resource Neural Machine Translation. MT Summit 2023 - Proceedings of 19th Machine Translation Summit. (pp. 35 - 47).
[Conference]Authored by: Hou, F., Jahnke, H., Wang, R.
Lei, C., Singh, S., Hou, F., Jia, X., & Wang, R. (2023). PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition. Proceedings of the 5th ACM International Conference on Multimedia in Asia, MMAsia 2023 Workshops.
[Conference Paper in Published Proceedings]Authored by: Hou, F., Wang, R.
Wang, Z., Hou, F., & Wang, R.CLRL-Tuning: A Novel Continual Learning Approach for Automatic Speech Recognition. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. (pp. 1279 - 1283). 2308-457X.
[Conference]Authored by: Hou, F., Wang, R.
Singh, S., Hou, F., & Wang, R.A Novel Self-training Approach for Low-resource Speech Recognition. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. (pp. 1588 - 1592). 2308-457X.
[Conference]Authored by: Hou, F., Wang, R.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Teaching and Supervision

Summary of Doctoral Supervision

Position Current Completed
Co-supervisor 1 2

Current Doctoral Supervision

Co-supervisor of:

  • Linwei Li - Doctor of Philosophy
    Human Behavior Recognition from Video and Other Modalities

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