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ORCIDChong Zhang 0003
Person information
- affiliation: Alibaba Group, Speech Lab of DAMO Academy, Singapore
- affiliation (PhD 2017): National University of Singapore, Department of Electrical and Computer Engineering, Singapore
Other persons with the same name
- Chong Zhang — disambiguation page
- Chong Zhang 0001
![[0000-0003-0679-7623]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0679-7623")
— Pompeu Fabra University, Barcelona, Spain - Chong Zhang 0002 — Hong Kong University of Science and Technology, Hong Kong
- Chong Zhang 0004 — National University of Defense Technology, Changsha, China (and 1 more)
- Chong Zhang 0005 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
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2020 – today
- 2024
[j3]Yukun Ma, Chong Zhang, Qian Chen, Wen Wang, Bin Ma:
Tuning Large Language Model for Speech Recognition With Mixed-Scale Re-Tokenization. IEEE Signal Process. Lett. 31: 1740-1744 (2024)- [c18]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:
SPGM: Prioritizing Local Features for Enhanced Speech Separation Performance. ICASSP 2024: 326-330 - [c17]Shengkui Zhao, Yukun Ma, Chongjia Ni, Chong Zhang, Hao Wang, Trung Hieu Nguyen, Kun Zhou, Jia Qi Yip, Dianwen Ng, Bin Ma:
MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation. ICASSP 2024: 10356-10360 - [c16]Dianwen Ng, Chong Zhang, Ruixi Zhang, Yukun Ma, Fabian Ritter Gutierrez, Trung Hieu Nguyen, Chongjia Ni, Shengkui Zhao, Eng Siong Chng, Bin Ma:
Are Soft Prompts Good Zero-Shot Learners for Speech Recognition? ICASSP 2024: 10366-10370 - [c15]Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Shiliang Zhang, Chong Deng, Yukun Ma, Hai Yu, Jiaqing Liu, Chong Zhang:
Loss Masking Is Not Needed In Decoder-Only Transformer For Discrete-Token-Based ASR. ICASSP 2024: 11056-11060 - [i15]Kun Zhou, Shengkui Zhao, Yukun Ma, Chong Zhang, Hao Wang, Dianwen Ng, Chongjia Ni, Trung Hieu Nguyen, Jia Qi Yip, Bin Ma:
Phonetic Enhanced Language Modeling for Text-to-Speech Synthesis. CoRR abs/2406.02009 (2024) - [i14]Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Shiliang Zhang, Chong Deng, Hai Yu, Jiaqing Liu, Yukun Ma, Chong Zhang:
Skip-Layer Attention: Bridging Abstract and Detailed Dependencies in Transformers. CoRR abs/2406.11274 (2024) - [i13]Kun Zhou, You Zhang, Shengkui Zhao, Hao Wang, Zexu Pan, Dianwen Ng, Chong Zhang, Chongjia Ni, Yukun Ma, Trung Hieu Nguyen, Jia Qi Yip, Bin Ma:
Emotional Dimension Control in Language Model-Based Text-to-Speech: Spanning a Broad Spectrum of Human Emotions. CoRR abs/2409.16681 (2024) - 2023
- [c14]Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Chong Deng, Hai Yu, Jiaqing Liu, Yukun Ma, Chong Zhang:
Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings. EMNLP 2023: 5868-5875 - [c13]Yukun Ma, Trung Hieu Nguyen, Jinjie Ni, Wen Wang, Qian Chen, Chong Zhang, Bin Ma:
Auxiliary Pooling Layer For Spoken Language Understanding. ICASSP 2023: 1-5 - [c12]Dianwen Ng, Ruixi Zhang, Jia Qi Yip, Zhao Yang, Jinjie Ni, Chong Zhang, Yukun Ma, Chongjia Ni, Eng Siong Chng, Bin Ma:
De'hubert: Disentangling Noise in a Self-Supervised Model for Robust Speech Recognition. ICASSP 2023: 1-5 - [c11]Dianwen Ng, Ruixi Zhang, Jia Qi Yip, Chong Zhang, Yukun Ma, Trung Hieu Nguyen, Chongjia Ni, Eng Siong Chng, Bin Ma:
Contrastive Speech Mixup for Low-Resource Keyword Spotting. ICASSP 2023: 1-5 - [c10]Jinjie Ni, Yukun Ma, Wen Wang, Qian Chen, Dianwen Ng, Han Lei, Trung Hieu Nguyen, Chong Zhang, Bin Ma, Erik Cambria:
Adaptive Knowledge Distillation Between Text and Speech Pre-Trained Models. ICASSP 2023: 1-5 - [c9]Zhao Yang, Dianwen Ng, Chong Zhang, Xiao Fu, Rui Jiang, Wei Xi, Yukun Ma, Chongjia Ni, Eng Siong Chng, Bin Ma, Jizhong Zhao:
Dual Acoustic Linguistic Self-supervised Representation Learning for Cross-Domain Speech Recognition. INTERSPEECH 2023: 72-76 - [c8]Dianwen Ng, Chong Zhang, Ruixi Zhang, Yukun Ma, Trung Hieu Nguyen, Chongjia Ni, Shengkui Zhao, Qian Chen, Wen Wang, Eng Siong Chng, Bin Ma:
Adapter-tuning with Effective Token-dependent Representation Shift for Automatic Speech Recognition. INTERSPEECH 2023: 1319-1323 - [c7]Jia Qi Yip, Duc-Tuan Truong, Dianwen Ng, Chong Zhang, Yukun Ma, Trung Hieu Nguyen, Chongjia Ni, Shengkui Zhao, Eng Siong Chng, Bin Ma:
ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention. INTERSPEECH 2023: 1938-1942 - [c6]Zhao Yang, Dianwen Ng, Xizhe Li, Chong Zhang, Rui Jiang, Wei Xi, Yukun Ma, Chongjia Ni, Jizhong Zhao, Bin Ma, Eng Siong Chng:
Dual-Memory Multi-Modal Learning for Continual Spoken Keyword Spotting with Confidence Selection and Diversity Enhancement. INTERSPEECH 2023: 3774-3778 - [c5]Zhao Yang, Dianwen Ng, Chong Zhang, Rui Jiang, Wei Xi, Yukun Ma, Chongjia Ni, Jizhong Zhao, Bin Ma, Eng Siong Chng:
A Unified Recognition and Correction Model under Noisy and Accent Speech Conditions. INTERSPEECH 2023: 4953-4957 - [i12]Dianwen Ng, Ruixi Zhang, Jia Qi Yip, Zhao Yang, Jinjie Ni, Chong Zhang, Yukun Ma, Chongjia Ni, Eng Siong Chng, Bin Ma:
deHuBERT: Disentangling Noise in a Self-supervised Model for Robust Speech Recognition. CoRR abs/2302.14597 (2023) - [i11]Jinjie Ni, Yukun Ma, Wen Wang, Qian Chen, Dianwen Ng, Han Lei, Trung Hieu Nguyen, Chong Zhang, Bin Ma, Erik Cambria:
Adaptive Knowledge Distillation between Text and Speech Pre-trained Models. CoRR abs/2303.03600 (2023) - [i10]Dianwen Ng, Ruixi Zhang, Jia Qi Yip, Chong Zhang, Yukun Ma, Trung Hieu Nguyen, Chongjia Ni, Eng Siong Chng, Bin Ma:
Contrastive Speech Mixup for Low-resource Keyword Spotting. CoRR abs/2305.01170 (2023) - [i9]Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Chong Deng, Hai Yu, Jiaqing Liu, Yukun Ma, Chong Zhang:
Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings. CoRR abs/2305.10786 (2023) - [i8]Jia Qi Yip, Tuan Truong, Dianwen Ng, Chong Zhang, Yukun Ma, Trung Hieu Nguyen, Chongjia Ni, Shengkui Zhao, Eng Siong Chng, Bin Ma:
ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention. CoRR abs/2305.12121 (2023) - [i7]Dianwen Ng, Chong Zhang, Ruixi Zhang, Yukun Ma, Fabian Ritter Gutierrez, Trung Hieu Nguyen, Chongjia Ni, Shengkui Zhao, Eng Siong Chng, Bin Ma:
Are Soft Prompts Good Zero-shot Learners for Speech Recognition? CoRR abs/2309.09413 (2023) - [i6]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:
SPGM: Prioritizing Local Features for enhanced speech separation performance. CoRR abs/2309.12608 (2023) - [i5]Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Shiliang Zhang, Chong Deng, Yukun Ma, Hai Yu, Jiaqing Liu, Chong Zhang:
Loss Masking Is Not Needed in Decoder-only Transformer for Discrete-token Based ASR. CoRR abs/2311.04534 (2023) - [i4]Shengkui Zhao, Yukun Ma, Chongjia Ni, Chong Zhang, Hao Wang, Trung Hieu Nguyen, Kun Zhou, Jia Qi Yip, Dianwen Ng, Bin Ma:
MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation. CoRR abs/2312.11825 (2023) - 2022
- [i3]Dianwen Ng, Jia Qi Yip, Tanmay Surana, Zhao Yang, Chong Zhang, Yukun Ma, Chongjia Ni, Eng Siong Chng, Bin Ma:
I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra Contrastive Regularization. CoRR abs/2209.06360 (2022)
2010 – 2019
- 2019
- [j2]Chong Zhang, Kay Chen Tan, Haizhou Li, Geok Soon Hong:
A Cost-Sensitive Deep Belief Network for Imbalanced Classification. IEEE Trans. Neural Networks Learn. Syst. 30(1): 109-122 (2019) - 2018
- [c4]Huan Xu, Chong Zhang, Geok Soon Hong, Junhong Zhou, Jihoon Hong, Keng Soon Woon:
Gated Recurrent Units Based Neural Network For Tool Condition Monitoring. IJCNN 2018: 1-7 - [i2]Chong Zhang, Kay Chen Tan, Haizhou Li, Geok Soon Hong:
A Cost-Sensitive Deep Belief Network for Imbalanced Classification. CoRR abs/1804.10801 (2018) - [i1]Chong Zhang, Geok Soon Hong, Jun-Hong Zhou, Kay Chen Tan, Haizhou Li, Huan Xu, Jihoon Hong, Hian-Leng Chan:
A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring. CoRR abs/1805.00367 (2018) - 2017
- [j1]Chong Zhang, Pin Lim, A. Kai Qin, Kay Chen Tan:
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2306-2318 (2017) - [c3]Chong Zhang, Geok Soon Hong, Huan Xu, Kay Chen Tan, Jun-Hong Zhou, Hian-Leng Chan, Haizhou Li:
A data-driven prognostics framework for tool remaining useful life estimation in tool condition monitoring. ETFA 2017: 1-8 - 2016
- [c2]Chong Zhang, Kay Chen Tan, Ruoxu Ren:
Training cost-sensitive Deep Belief Networks on imbalance data problems. IJCNN 2016: 4362-4367 - 2015
- [c1]Chong Zhang, Jia Hui Sun, Kay Chen Tan:
Deep Belief Networks Ensemble with Multi-objective Optimization for Failure Diagnosis. SMC 2015: 32-37
Coauthor Index
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