dujun
- Associate professor
- Name (Pinyin):dujun
- E-Mail:
- Contact Information:(+86)-0551-63603303
- Professional Title:Associate professor
- Teacher College:School of information Science and Technology
Contact Information
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- Paper Publications
- [2020] Li Chai, Jun Du, Qing-Feng Liu, Chin-Hui Lee, “A Cross-Entropy-Guided Measure CEGM for Assessing Speech Recognition Performance and Optimizing DNN-Based Speech Enhancement,”, IEEE/ACM Transactions on Audio, Speech and Language Processing, 2020.
- [2020] Jun Qi, Jun Du, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee, “Analyzing upper bounds on mean absolute errors for deep neural network based vector-to-vector regression,”, IEEE Transactions on Signal Processing, 2020.
- [2020] Yanhui Tu, Jun Du , Tian Gao, Chin-Hui Lee, “A multi-target SNR-progressive learning approach to regression based speech enhancement,”, IEEE/ACM Transactions on Audio, Speech and Language Processing, 2020.
- [2020] Jianshu Zhang, Jun Du , Yongxin Yang, Yi-Zhe Song, Lirong Dai, “SRD: A tree structure based decoder for online handwritten mathematical expression recognition,”, IEEE Transactions on Multimedia, 2020.
- [2020] Zi-Rui Wang, Jun Du , “Joint architecture and knowledge distillation in CNN for Chinese text recognition,”, Pattern Recognition, 2020.
- [2020] Yixing Zhu, Jun Du , “TextMountain: accurate scene text detection via instance segmentation,”, Pattern Recognition, 2020.
- [2020] Yixing Zhu, Jun Du , Xuqing Wu, “Adaptive period embedding for representing oriented objects in aerial images,”, IEEE Transactions on Geoscience and Remote Sensing, 2020.
- [2020] Jia Pan, Genshun Wan, Jun Du , Zhongfu Ye, “Online speaker adaptation using memory-aware networks for speech recognition,”, IEEE/ACM Transactions on Audio, Speech and Language Processing, 2020.
- [2020] Zi-Rui Wang, Jun Du, Jiaming Wang, “Writer-aware CNN for parsimonious HMM-based offline handwritten Chinese text recognition,”, Pattern Recognition, 100 2020 .
- [2020] Jun Qi, Jun Du, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee, “On mean absolute error for deep neural network based vector-to-vector regression,”, IEEE Signal Processing Letters, 2020.