Conference Papers:

2024

• • • Phonetic Enhanced Language Modeling for Text-to-Speech Synthesis [paper]

Kun Zhou, Shengkui Zhao, Yukun Ma, Chong Zhang, Hao Wang, Dianwen Ng, Chongjia Ni, Nguyen Trung Hieu, Jia Qi Yip, Bin Ma

Proc. INTERSPEECH 2024.

• • • Are Soft Prompts Good Zero-shot Learners for Speech Recognition?  [paper]

Dianwen Ng, Chong Zhang, Ruixi Zhang, Yukun Ma, Fabian Ritter-Gutierrez, Trung Hieu Nguyen, Chongjia Ni, Shengkui Zhao, Eng Siong Chng, Bin Ma.

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2024.

• • • Loss Masking Is Not Needed in Decoder-only Transformer for Discrete-token Based ASR  [paper]

Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Shiliang Zhang, Chong Deng, Yukun Ma, Hai Yu, Jiaqing Liu, Chong Zhang.

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2024.

• • • MOSSFORMER2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-domain Monaural Speech Separation

Shengkui Zhao, Yukun Ma, Chongjia Ni, Chong Zhang, Hao Wang, Trung Hieu Nguyen, Kun Zhou, Jia Qi Yip, Dianwen Ng, Bin Ma.

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2024.

• • • SPGM: Prioritizing Local Features for Enhanced Speech Separation Performance  [paper]

Jia Qi Yip, Shengkui Zhao, Yukun Ma, Chongjia Ni, Chong Zhang, Hao Wang, Trung Hieu Nguyen, Kun Zhou, Dianwen Ng, Eng Siong Chng, Bin Ma.

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2024.

2023

• • • Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings [paper]

Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Chong Deng, Hai Yu, Jiaqing Liu, Yukun Ma, Chong Zhang.

The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.

• • • Adapter-tuning with Effective Token-dependent Representation Shift for Automatic Speech Recognition

Dianwen Ng, Chong Zhang, Ruixi Zhang, Yukun Ma, Trung Hieu Nguyen, Chongjia Ni, Shengkui Zhao, Qian Chen, Wen Wang, Eng Siong Chng, Bin Ma.

Proc. INTERSPEECH 2023.

• • • ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention [paper]

Jia Qi Yip, Tuan Truong, Dianwen Ng, Chong Zhang, Yukun Ma, Trung Hieu Nguyen, Chongjia Ni, Shengkui Zhao, Eng Siong Chng, Bin Ma.

Proc. INTERSPEECH 2023.

• • • Dual Acoustic Linguistic Self-supervised Representation Learning for Cross-Domain Speech Recognition

Zhao Yang, Dianwen Ng, Chong Zhang, Xiao Fu, Rui Jiang, Wei Xi, Yukun Ma, Chongjia Ni, Eng Siong Chng, Bin Ma, Jizhong Zhao. 

Proc. INTERSPEECH 2023.

• • • A Unified Recognition and Correction Model under Noisy and Accent Speech Conditions 

Zhao Yang, Dianwen Ng, Chong Zhang, Rui Jiang, Wei Xi, Yukun Ma, Chongjia Ni, Jizhong Zhao, Bin Ma, Eng Siong Chng. 

Proc. INTERSPEECH 2023.

• • • Dual-Memory Multi-Modal Learning for Continual Spoken Keyword Spotting with Confidence Selection and Diversity Enhancement

Zhao Yang, Dianwen Ng, Xizhe Li, Chong Zhang, Rui Jiang, Wei Xi, Yukun Ma, Chongjia Ni, Jizhong Zhao, Bin Ma, Eng Siong Chng. 

Proc. INTERSPEECH 2023.

• • • deHuBERT: Disentangling Noise In A Self-Supervised Model For Robust Speech Recognition [paper]

Dianwen Ng, Ruixi Zhang, Jia Qi Yip, Zhao Yang, Jinjie Ni, Chong Zhang, Yukun Ma, Chongjia Ni, Eng Siong Chng and Bin Ma.

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2023.

• • • Contrastive Speech Mixup For Low-Resource Keyword Spotting [paper]

Dianwen Ng, Ruixi Zhang, Jia Qi Yip, Chong Zhang, Yukun Ma, Trung Hieu Nguyen, Chongjia Ni, Eng Siong Chng and Bin Ma.

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2023.

• • • Auxiliary Pooling Layer For Spoken Language Understanding [paper]

Yukun Ma, Trung Hieu Nguyen, Jinjie Ni, Wen Wang, Qian Chen, Chong Zhang and Bin Ma.

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2023.

• • • Adaptive Knowledge Distillation Between Text And Speech Pre-Trained Models [paper]

Jinjie Ni, Yukun Ma, Wen Wang, Qian Chen, Dianwen Ng, Han Lei, Trung Hieu Nguyen, Chong Zhang and Bin Ma.

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2023.

2022

• • • I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra Contrastive Regularization [paper]

Dianwen Ng, Jia Qi Yip, Tanmay Surana, Zhao Yang, Chong Zhang, Yukun Ma, Chongjia Ni, Eng Siong Chng, and Bin Ma.

2022 Asia Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference, 2022.

2018

• • • Gated Recurrent Units Based Neural Network For Tool Condition Monitoring

H. Xu, C. Zhang, G. S. Hong, J. H. Zhou, J. Hong and K. S. Woon

2018 International Joint Conference on Neural Networks (IJCNN), pp. 1-7, July, 2018.

2017

• • • Tool condition monitoring in deep hole gun drilling: a data-driven approach [paper] [BibTex]

J. Hong, J. H. Zhou, H. L. Chan, C. Zhang, H. Xu, and G. S. Hong

IEEE Conference on Industrial Engineering and Engineering Management (IEEM), Best paper finalist, Dec 2017.

• • • A data-driven prognostics framework for tool remaining useful life estimation in tool condition monitoring [paper] [BibTex]

C. Zhang, G. S. Hong, H. Xu, K. C. Tan, J. H. Zhou, H. L. Chan, and H. Li

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1–8, Sept 2017.

2016

• • • Training cost-sensitive deep belief networks on imbalance data problems [paper] [BibTex]

C. Zhang, K. C. Tan, and R. Ren

2016 International Joint Conference on Neural Networks (IJCNN), pp. 4362–4367, July 2016.

2015

• • • Deep belief networks ensemble with multi-objective optimization for failure diagnosis [paper] [BibTex]

C. Zhang, J. H. Sun, and K. C. Tan

2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 32–37, Oct 2015.

Journals/Transactions Papers:

• • Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics [paper] [BibTex] 

C. Zhang, P. Lim, A. K. Qin, and K. C. Tan

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 28, pp. 2306–2318, Oct 2017. 

• • A Cost-Sensitive Deep Belief Network for Imbalanced Classification [paper][BibTex] 

C. Zhang, K. C. Tan, H. Li,  and G. S. Hong

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 30, no. 1, pp. 109-122, Jan. 2019. (arXiv:1804.10801)

• • A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring [paper] 

C. Zhang, G. S. Hong, J. H. Zhou, K. C. Tan, H. Li, H. Xu, J. Hong, and H. L. Chan 

(arXiv:1805.00367, communicated 30 April 2018.)

Ph.D. Dissertation: 

Computational Intelligence in Diagnostic and Prognostic Applications, C. Zhang, National University of Singapore, 2017