Feng-Ju Chang

743 total citations
22 papers, 370 citations indexed

About

Feng-Ju Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Feng-Ju Chang has authored 22 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Feng-Ju Chang's work include Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (5 papers) and Topic Modeling (5 papers). Feng-Ju Chang is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (5 papers) and Topic Modeling (5 papers). Feng-Ju Chang collaborates with scholars based in United States, Taiwan and Israel. Feng-Ju Chang's co-authors include Tal Hassner, Ram Nevatia, Iacopo Masi, Anh Tran, Gérard Medioni, Athanasios Mouchtaris, Maurizio Omologo, Soo‐Chang Pei, Yen‐Yu Lin and Yi‐Ping Hung and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Feng-Ju Chang

22 papers receiving 356 citations

Peers

Countries citing papers authored by Feng-Ju Chang

Since Specialization

Citations

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

Fields of papers citing papers by Feng-Ju Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng-Ju Chang. 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 Feng-Ju Chang. The network helps show where Feng-Ju Chang may publish in the future.

Co-authorship network of co-authors of Feng-Ju Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Feng-Ju Chang. A scholar is included among the top collaborators of Feng-Ju Chang 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 Feng-Ju Chang. Feng-Ju Chang 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	Dialog Act Guided Contextual Adapter for Personalized Speech Recognition 2023 ·Feng-Ju Chang, (unknown), Kanthashree Mysore Sathyendra, Kai Wei, (unknown), Ross McGowan	3
2	Model-Internal Slot-triggered Biasing for Domain Expansion in Neural Transducer ASR Models 2023 ·Yiting Lu, Philip J. Harding, Kanthashree Mysore Sathyendra, (unknown), (unknown), Jing Liu, Feng-Ju Chang, Simon Wiesler, (unknown)	1
3	Dual-Attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognition 2023 ·(unknown), Jing Liu, (unknown), (unknown), Anastasios Alexandridis, (unknown), Ross McGowan, Ariya Rastrow, Feng-Ju Chang, (unknown), (unknown)	1
4	Contextual Adapters for Personalized Speech Recognition in Neural Transducers 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Kanthashree Mysore Sathyendra, (unknown), Feng-Ju Chang, Jing Liu, (unknown), (unknown), Athanasios Mouchtaris, (unknown)	29
5	Compute Cost Amortized Transformer for Streaming ASR 2022 ·Interspeech 2022 ·Yi Xie, (unknown), (unknown), Feng-Ju Chang, Brian King, Ariya Rastrow, (unknown), (unknown)	4
6	Multi-Task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·(unknown), Feng-Ju Chang, (unknown), Kai Wei, Jing Liu, (unknown), Kanthashree Mysore Sathyendra	2
7	The Key Success Factors for the Operation of SME Cluster Business Ecosystem 2022 ·Sustainability ·(unknown), Shih‐Wei Wu, (unknown), Feng-Ju Chang	5
8	ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition 2022 ·Interspeech 2022 ·(unknown), (unknown), (unknown), Feng-Ju Chang, (unknown), (unknown), (unknown)	5
9	Context-Aware Transformer Transducer for Speech Recognition 2021 ·Feng-Ju Chang, Jing Liu, (unknown), Athanasios Mouchtaris, Maurizio Omologo, Ariya Rastrow, (unknown)	30
10	Multi-Channel Transformer Transducer for Speech Recognition 2021 ·Feng-Ju Chang, (unknown), Athanasios Mouchtaris, Maurizio Omologo	14
11	End-to-End Multi-Channel Transformer for Speech Recognition 2021 ·Feng-Ju Chang, (unknown), Athanasios Mouchtaris, Brian King, (unknown)	23
12	Deep, Landmark-Free FAME: Face Alignment, Modeling, and Expression Estimation 2019 ·International Journal of Computer Vision ·Feng-Ju Chang, Anh Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard Medioni	29
13	Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild 2018 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Iacopo Masi, Feng-Ju Chang, Jongmoo Choi, Shai Har-El, Jungyeon Kim, KangGeon Kim, Jatuporn Toy Leksut, Stephen Rawls, Yue Wu, Tal Hassner, Wael AbdAlmageed, Gérard Medioni, Louis–Philippe Morency, Prem Natarajan, Ram Nevatia	66
14	FacePoseNet: Making a Case for Landmark-Free Face Alignment 2017 ·IRIS Research product catalog (Sapienza University of Rome) ·Feng-Ju Chang, Anh Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard Medioni	85
15	Local-Global Landmark Confidences for Face Recognition 2017 ·KangGeon Kim, Feng-Ju Chang, Jongmoo Choi, Louis–Philippe Morency, Ramakant Nevatia, Gérard Medioni	3
16	Learning Discriminatively Reconstructed Source Data for Object Recognition With Few Examples 2016 ·IEEE Transactions on Image Processing ·(unknown), Feng-Ju Chang, Yen‐Yu Lin	5
17	Radiotherapy with volumetric modulated arc therapy for hepatocellular carcinoma patients ineligible for surgery or ablative treatments 2013 ·Strahlentherapie und Onkologie ·(unknown), Wei‐Chung Hsu, (unknown), Feng-Ju Chang, Antonella Fogliata, Luca Cozzi	19
18	Color constancy via chromaticity neutralization: From single to multiple illuminants 2013 ·Feng-Ju Chang, Soo‐Chang Pei	3
19	Color constancy by chromaticity neutralization 2012 ·Journal of the Optical Society of America A ·Feng-Ju Chang, Soo‐Chang Pei, Weilun Chao	4
20	Edge-preserving image decomposition using L1 fidelity with L0 gradient 2012 ·(unknown), Feng-Ju Chang, Yi‐Ping Hung, Soo‐Chang Pei	19

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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