Jia Cui

1.1k citations

52 papers · 758 · h-index 14

Impact in

Signal Processing top 2%
- Music and Audio Processing
- Speech and Audio Processing
Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning

Papers in

Artificial Intelligence 34
- Speech Recognition and Synthesis 23
- Natural Language Processing Techniques 12
- Speech and dialogue systems 5
- Topic Modeling 5
Signal Processing 16
- Speech and Audio Processing 13
- Music and Audio Processing 11

Co-authors: Bhuvana Ramabhadran (15 shared papers)Samuel Thomas (2 shared papers)Brian Kingsbury (12 shared papers)Takashi Fukuda (1 shared paper)Gakuto Kurata (1 shared paper)Dong Yu (8 shared papers)Abhinav Sethy (8 shared papers)Chengzhu Yu (6 shared papers)
Journals: Signal Processing (2 papers)IEEE Access (2 papers)Buildings (2 papers)ACM Transactions on Multimedia Computing Communications and Applications (1 paper)Virtual Reality (1 paper)
Partner nations: China United States United Kingdom

In The Last Decade

Jia Cui

48 papers receiving 686 citations

Peers

Countries citing papers authored by Jia Cui

Since Specialization

Citations

This map shows the geographic impact of Jia Cui'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 Jia Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Cui more than expected).

Fields of papers citing papers by Jia Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia Cui. 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 Jia Cui. The network helps show where Jia Cui may publish in the future.

Co-authors

The 25 scholars most cited alongside Jia Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jia Cui Line = papers co-authored together Jia Cui links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Efficient Knowledge Distillation from an Ensemble of Teachers Takashi Fukuda, Masayuki Suzuki, Gakuto Kurata, Samuel Thomas, Jia Cui, Bhuvana Ramabhadran	2017	161
2	Multilingual representations for low resource speech recognition and keyword search White Rose Research Online (University of Leeds, The University of Sheffield, University of York) ·Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran, Abhinav Sethy, Kartik Audhkhasi, Xiaodong Cui, Ellen Eide Kislal, Lidia Mangu, Markus Nußbaum-Thom, Michael Picheny, Zoltán Tüske, Pavel Golik, Ralf Schlüter, Hermann Ney, Mark Gales, Kate Knill, Anton Ragni, Haipeng Wang, Philip C. Woodland	2015	61
3	Exploring Building Information Modeling (BIM) and Internet of Things (IoT) Integration for Sustainable Building Buildings ·Yali Chen, Xiaozi Wang, Zhen Liu, Jia Cui, Mohamed Osmani, Peter Demian	2023	51
4	System combination and score normalization for spoken term detection Cambridge University Engineering Department Publications Database ·Jonathan Mamou, Jia Cui, Xiaodong Cui, Mark Gales, Brian Kingsbury, Kate Knill, Lidia Mangu, David Nolden, Michael Picheny, Bhuvana Ramabhadran, Ralf Schlüter, Abhinav Sethy, Philip C. Woodland	2013	46
5	Seq2Seq Attentional Siamese Neural Networks for Text-dependent Speaker Verification Yichi Zhang, Meng Yu, Na Li, Chengzhu Yu, Jia Cui, Dong Yu	2019	42
6	A high-performance Cantonese keyword search system Cambridge University Engineering Department Publications Database ·Brian Kingsbury, Jia Cui, Xiaodong Cui, Mark Gales, Kate Knill, Jonathan Mamou, Lidia Mangu, David Nolden, Michael Picheny, Bhuvana Ramabhadran, Ralf Schlüter, Abhinav Sethy, Philip C. Woodland	2013	41
7	Improving Attention Based Sequence-to-Sequence Models for End-to-End English Conversational Speech Recognition Chao Weng, Jia Cui, Guangsen Wang, Jun Wang, Chengzhu Yu, Dan Su, Dong Yu	2018	39
8	Developing speech recognition systems for corpus indexing under the IARPA Babel program Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Janice Kim, Brian Kingsbury, Jonathan Mamou, Lidia Mangu, Michael Picheny, Tara N. Sainath, Abhinav Sethy	2013	31
9	Knowledge distillation across ensembles of multilingual models for low-resource languages Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Tom Sercu, Kartik Audhkhasi, Abhinav Sethy, Markus Nußbaum-Thom, Andrew Rosenberg	2017	29
10	An empirical study of confusion modeling in keyword search for low resource languages Murat Saraçlar, Abhinav Sethy, Bhuvana Ramabhadran, Lidia Mangu, Jia Cui, Xiaodong Cui, Brian Kingsbury, Jonathan Mamou	2013	28
11	Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition Chao Weng, Chengzhu Yu, Jia Cui, Chunlei Zhang, Dong Yu	2020	26
12	Distortion-aware image retargeting based on continuous seam carving model Signal Processing ·Jia Cui, Qianqian Cai, Hongju Lu, Zhenlin Jia, Mingxi Tang	2019	22
13	Network architectures for multilingual speech representation learning Tom Sercu, George Saon, Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Brian Kingsbury, Abhinav Sethy	2017	16
14	A Multistage Training Framework for Acoustic-to-Word Model Chengzhu Yu, Chunlei Zhang, Chao Weng, Jia Cui, Dong Yu	2018	15
15	Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units Markus Nußbaum-Thom, Jia Cui, Bhuvana Ramabhadran, Vaibhava Goel	2016	11
16	Multilingual Data Selection for Low Resource Speech Recognition Samuel Thomas, Kartik Audhkhasi, Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran	2016	11
17	Automatic keyword selection for keyword search development and tuning Jia Cui, Jonathan Mamou, Brian Kingsbury, Bhuvana Ramabhadran	2014	11
18	Improving Attention-Based End-to-End ASR Systems with Sequence-Based Loss Functions Jia Cui, Chao Weng, Guangsen Wang, Jun Wang, Peidong Wang, Chengzhu Yu, Dan Su, Dong Yu	2018	9
19	PortraitNET: Photo-realistic portrait cartoon style transfer with self-supervised semantic supervision Neurocomputing ·Jia Cui, Yuqing Liu, Hongchun Lu, Qianqian Cai, Mengxia Tang, Mengshi Qi, Zhijie Gu	2021	8
20	Deep Random Walk for Drusen Segmentation from Fundus Images Lecture notes in computer science ·Yan Fang, Jia Cui, Yu Wang, Hong Liu, Hui Liu, Benzheng Wei, Yilong Yin, Yuanjie Zheng	2018	8

About Jia Cui

Jia Cui is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Ocean Engineering, having authored 52 papers that have together received 758 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (13 papers), Natural Language Processing Techniques (12 papers), Music and Audio Processing (11 papers), Speech and dialogue systems (5 papers), Visual Attention and Saliency Detection (5 papers), Topic Modeling (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Signal Processing (340 citations), Artificial Intelligence (552 citations), Computer Vision and Pattern Recognition (145 citations), Human-Computer Interaction (19 citations) and Building and Construction (39 citations). Jia Cui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bhuvana Ramabhadran, Samuel Thomas, Brian Kingsbury, Takashi Fukuda, Gakuto Kurata, Dong Yu, Abhinav Sethy, Chengzhu Yu, Xiaodong Cui and Chao Weng. Their work appears in journals such as Signal Processing, IEEE Access, Buildings, ACM Transactions on Multimedia Computing Communications and Applications and Virtual Reality.

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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