Hao Zhang

Orcid: 0000-0001-8852-6311

Affiliations:
  • Information Engineering University, School of Information System Engineering, ZhengZhou, China
  • Tsinghua University, Department of Electronic Engineering, Beijing, China


According to our database1, Hao Zhang authored at least 21 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
A Lightweight Task-Agreement Meta Learning for Low-Resource Speech Recognition.
Neural Process. Lett., August, 2024

Dual Knowledge Distillation for neural machine translation.
Comput. Speech Lang., March, 2024

Meta adversarial learning improves low-resource speech recognition.
Comput. Speech Lang., March, 2024

Improving Speech Translation by Understanding the Speech From Latent Code.
IEEE Signal Process. Lett., 2024

Meta-Prompt: Boosting Whisper's Performance in Low-Resource Speech Recognition.
IEEE Signal Process. Lett., 2024

Meta-Adaptable-Adapter: Efficient adaptation of self-supervised models for low-resource speech recognition.
Neurocomputing, 2024

Improving cross-lingual low-resource speech recognition by Task-based Meta PolyLoss.
Comput. Speech Lang., 2024

MPN: Leveraging Multilingual Patch Neuron for Cross-lingual Model Editing.
CoRR, 2024

Exploring the Potential of Prompting Methods in Low-Resource Speech Recognition with Whisper.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

Meta-Adapter for Self-Supervised Speech Models: A Solution to Low-Resource Speech Recognition Challenges.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Task-based Meta Focal Loss for Multilingual Low-resource Speech Recognition.
ACM Trans. Asian Low Resour. Lang. Inf. Process., November, 2023

Improving Speech Translation by Cross-Modal Multi-Grained Contrastive Learning.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges.
CoRR, 2023

Tuning Large language model for End-to-end Speech Translation.
CoRR, 2023

Decouple Non-parametric Knowledge Distillation For End-to-end Speech Translation.
CoRR, 2023

Task-Consistent Meta Learning for Low-Resource Speech Recognition.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Decoupled Non-Parametric Knowledge Distillation for end-to-End Speech Translation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
DropDim: A Regularization Method for Transformer Networks.
IEEE Signal Process. Lett., 2022

Bridging the cross-modal gap using adversarial training for speech-to-text translation.
Digit. Signal Process., 2022

FCGCL: Fine- and Coarse-Granularity Contrastive Learning for Speech Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2016
Application of i-vector in speech and music classification.
Proceedings of the 2016 IEEE International Symposium on Signal Processing and Information Technology, 2016


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