Chong Zhang

According to our database, Chong Zhang authored at least 13 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

SPGM: Prioritizing Local Features for enhanced speech separation performance.

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

CoRR, 2023

ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention.

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

CoRR, 2023

Adaptive Knowledge Distillation Between Text and Speech Pre-Trained Models.

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

Proceedings of the IEEE International Conference on Acoustics, 2023

Contrastive Speech Mixup for Low-Resource Keyword Spotting.

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

Proceedings of the IEEE International Conference on Acoustics, 2023

De'hubert: Disentangling Noise in a Self-Supervised Model for Robust Speech Recognition.

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

Proceedings of the IEEE International Conference on Acoustics, 2023

Auxiliary Pooling Layer For Spoken Language Understanding.

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

Proceedings of the IEEE International Conference on Acoustics, 2023

2019

A Cost-Sensitive Deep Belief Network for Imbalanced Classification.

Chong Zhang, Kay Chen Tan, Haizhou Li, Geok Soon Hong

IEEE Trans. Neural Networks Learn. Syst., 2019

2018

A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring.

Chong Zhang, Geok Soon Hong, Jun-Hong Zhou, Kay Chen Tan, Haizhou Li, Huan Xu, Jihoon Hong, Hian-Leng Chan

CoRR, 2018

Gated Recurrent Units Based Neural Network For Tool Condition Monitoring.

Huan Xu, Chong Zhang, Geok Soon Hong, Junhong Zhou, Jihoon Hong, Keng Soon Woon

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics.

Chong Zhang, Pin Lim, A. Kai Qin, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., 2017

A data-driven prognostics framework for tool remaining useful life estimation in tool condition monitoring.

Chong Zhang, Geok Soon Hong, Huan Xu, Kay Chen Tan, Jun-Hong Zhou, Hian-Leng Chan, Haizhou Li

Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017

2016

Training cost-sensitive Deep Belief Networks on imbalance data problems.

Chong Zhang, Kay Chen Tan, Ruoxu Ren

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Deep Belief Networks Ensemble with Multi-objective Optimization for Failure Diagnosis.

Chong Zhang, Jia Hui Sun, Kay Chen Tan

Proceedings of the 2015 IEEE International Conference on Systems, 2015