Dianwen Ng

436 total citations
23 papers, 258 citations indexed

About

Dianwen Ng is a scholar working on Artificial Intelligence, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dianwen Ng has authored 23 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Signal Processing and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dianwen Ng's work include Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (12 papers) and Music and Audio Processing (7 papers). Dianwen Ng is often cited by papers focused on Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (12 papers) and Music and Audio Processing (7 papers). Dianwen Ng collaborates with scholars based in Singapore, China and United States. Dianwen Ng's co-authors include Mengling Feng, Xiang Lan, Wing P. Chan, Eng Siong Chng, Qiang Fu, Shenda Hong, Biao Tian, Bin Ma, Soon Yiew Sia and Chongjia Ni and has published in prestigious journals such as Academic Radiology, Radiology Artificial Intelligence and Quantitative Imaging in Medicine and Surgery.

In The Last Decade

Dianwen Ng

20 papers receiving 250 citations

Peers

Countries citing papers authored by Dianwen Ng

Since Specialization

Citations

This map shows the geographic impact of Dianwen Ng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dianwen Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianwen Ng more than expected).

Fields of papers citing papers by Dianwen Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dianwen Ng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dianwen Ng. The network helps show where Dianwen Ng may publish in the future.

Co-authorship network of co-authors of Dianwen Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Dianwen Ng. A scholar is included among the top collaborators of Dianwen Ng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dianwen Ng. Dianwen Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Noise Robust Distillation of Self-Supervised Speech Models via Correlation Metrics 2024 ·(unknown), (unknown), Dianwen Ng, (unknown), Hung-yi Lee, Eng Siong Chng, Nancy F. Chen	1
2	Are Soft Prompts Good Zero-Shot Learners for Speech Recognition? 2024 ·Dianwen Ng, Chong Zhang, (unknown), Yukun Ma, (unknown), (unknown), Chongjia Ni, Shengkui Zhao, Eng Siong Chng, Bin Ma	0
3	Dataset-Distillation Generative Model for Speech Emotion Recognition 2024 ·(unknown), (unknown), (unknown), Dianwen Ng, Hung-yi Lee, Nancy F. Chen, Eng Siong Chng	1
4	MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation 2024 ·Shengkui Zhao, Yukun Ma, Chongjia Ni, Chong Zhang, Hao Wang, (unknown), (unknown), (unknown), Dianwen Ng, Bin Ma	12
5	Phonetic Enhanced Language Modeling for Text-to-Speech Synthesis 2024 ·Kun Zhou, Shengkui Zhao, (unknown), (unknown), Hao Wang, Dianwen Ng, Chongjia Ni, Trung Hieu Nguyen, (unknown), (unknown)	1
6	SPGM: Prioritizing Local Features for Enhanced Speech Separation Performance 2024 ·(unknown), Shengkui Zhao, Yukun Ma, Chongjia Ni, Chong Zhang, Hao Wang, (unknown), (unknown), Dianwen Ng, Eng Siong Chng, Bin Ma	3
7	ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention 2023 ·(unknown), (unknown), Dianwen Ng, Chong Zhang, (unknown), (unknown), Chongjia Ni, Shengkui Zhao, Eng Siong Chng, Bin Ma	3
8	Adapter-tuning with Effective Token-dependent Representation Shift for Automatic Speech Recognition 2023 ·Dianwen Ng, Chong Zhang, (unknown), (unknown), (unknown), Chongjia Ni, Shengkui Zhao, Chen Qian, Wen Wang, Eng Siong Chng, Bin Ma	2
9	Dual Acoustic Linguistic Self-supervised Representation Learning for Cross-Domain Speech Recognition 2023 ·Zhao Yang, Dianwen Ng, Chong Zhang, Xiao Fu, Rui Jiang, Wei Xi, Yukun Ma, Chongjia Ni, Eng Siong Chng, Bin Ma, Jizhong Zhao	1
10	Dual-Memory Multi-Modal Learning for Continual Spoken Keyword Spotting with Confidence Selection and Diversity Enhancement 2023 ·(unknown), Dianwen Ng, Xizhe Li, Chong Zhang, Rui Jiang, Wei Xi, Yukun Ma, Chongjia Ni, Jizhong Zhao, Bin Ma, Eng Siong Chng	2
11	Adaptive Knowledge Distillation Between Text and Speech Pre-Trained Models 2023 ·Jinjie Ni, Yukun Ma, Wen Wang, Qian Chen, Dianwen Ng, Lei Han, (unknown), Chong Zhang, Bin Ma, Erik Cambria	0
12	De’hubert: Disentangling Noise in a Self-Supervised Model for Robust Speech Recognition 2023 ·Dianwen Ng, (unknown), (unknown), Zhao Yang, Jinjie Ni, Chong Zhang, Yukun Ma, Chongjia Ni, Eng Siong Chng, Bin Ma	8
13	Convmixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-Field Keyword Spotting 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Dianwen Ng, (unknown), Biao Tian, Qiang Fu, Eng Siong Chng	32
14	Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals 2022 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng	26
15	I2CR: Improving Noise Robustness on Keyword Spotting using Inter-Intra Contrastive Regularization 2022 ·2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) ·Dianwen Ng, (unknown), (unknown), Zhao Yang, Chong Zhang, Yukun Ma, Chongjia Ni, Eng Siong Chng, Bin Ma	5
16	Deep Learning Systems for Pneumothorax Detection on Chest Radiographs: A Multicenter External Validation Study 2021 ·Radiology Artificial Intelligence ·Yee Liang Thian, Dianwen Ng, James Thomas Patrick Decourcy Hallinan, Pooja Jagmohan, Soon Yiew Sia, Cher Heng Tan, (unknown), Pin Lin Kei, (unknown), (unknown), Swee Tian Quek, Mengling Feng	30
17	Today’s radiologists meet tomorrow’s AI: the promises, pitfalls, and unbridled potential 2021 ·Quantitative Imaging in Medicine and Surgery ·Dianwen Ng, (unknown), (unknown), (unknown), Wing P. Chan, Mengling Feng	11
18	Detection of Pneumothorax with Deep Learning Models: Learning From Radiologist Labels vs Natural Language Processing Model Generated Labels 2021 ·Academic Radiology ·James Thomas Patrick Decourcy Hallinan, Mengling Feng, Dianwen Ng, Soon Yiew Sia, (unknown), Pooja Jagmohan, Andrew Makmur, Yee Liang Thian	8
19	Adversarial Domain Adaptation with Correlation-Based Association Networks for Longitudinal Disk Fault Prediction 2021 ·Xiang Lan, Dianwen Ng, Yi Liu, (unknown), (unknown), Cheng He, Mengling Feng	0
20	Federated learning: a collaborative effort to achieve better medical imaging models for individual sites that have small labelled datasets 2020 ·Quantitative Imaging in Medicine and Surgery ·Dianwen Ng, Xiang Lan, (unknown), Wing P. Chan, Mengling Feng	98

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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