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Ying Jia
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2020 – today
- 2024
- [j5]Miaomiao Liu
, Haoran Xu, Fengda Zhao, Qiang Zhang, Ying Jia, Jiahao Xi:
Porosity Prediction Based on Ensemble Learning for Feature Selection and an Optimized GRU Improved by the PSO Algorithm. Int. J. Comput. Intell. Syst. 17(1): 189 (2024) - 2023
- [j4]Ying Jia
, Hang Li
, Jie Fang, Xin Chen, Liqi Ji, Nianyi Wang
:
Image Inpainting of Thangka Murals Using Edge-Assisted Feature Fusion and Self Attention Based Local Refine Network. IEEE Access 11: 84360-84370 (2023) - [c18]Yufei Xie
, Weiwei Yu
, Shasha Song
, Wenlin Wang
, Ying Jia
, Xin Gao
, Chongyang Wang
:
Application of Image Processing Based on Improved Canny Algorithm and Gurukin's Theorem. ICISS 2023: 193-201 - [c17]Hang Li
, Nianyi Wang
, Jie Fang, Ying Jia, Liqi Ji, Xin Chen:
Anime Sketch Coloring Based on Self-attention Gate and Progressive PatchGAN. PRCV (11) 2023: 237-249 - 2021
- [j3]Wei Wang, Ying Jia, Qiming Wang
, Pengfei Xu:
An Image Enhancement Algorithm Based on Fractional-Order Phase Stretch Transform and Relative Total Variation. Comput. Intell. Neurosci. 2021: 8818331:1-8818331:10 (2021) - 2020
- [c16]Ying Jia, Bo Chen, Long Tian, Wenchao Chen, Hongwei Liu:
Memory-Based Neural Network for Radar HRRP Noncooperative Target Recognition. SAM 2020: 1-5
2010 – 2019
- 2018
- [c15]Ying Jia:
Online Data Flow Prediction Using Generalized Inverse Based Extreme Learning Machine. MUE/FutureTech 2018: 199-206 - 2017
- [c14]Ying Jia, Weihai Li:
Multi-occlusion handling in depth estimation of light fields. ICME Workshops 2017: 13-18
2000 – 2009
- 2009
- [c13]Guangtao Zhao, Ying Jia, Zhicai Ou:
Construction of vision-based manipulation system for 3D industrial objects. ROBIO 2009: 1051-1056 - 2006
- [j2]Xiao-Long Zhu, Xian-Da Zhang, Zizhe Ding, Ying Jia:
Adaptive nonlinear PCA algorithms for blind source separation without prewhitening. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(3): 745-753 (2006) - [c12]Ying Jia, Yu Luo, Yan Lin, Igor Kozintsev:
Distributed Microphone Arrays for Digital Home and Office. ICASSP (5) 2006: 1065-1068 - 2005
- [j1]Da-Zheng Feng, Wei Xing Zheng, Ying Jia:
Neural network learning algorithms for tracking minor subspace in high-dimensional data stream. IEEE Trans. Neural Networks 16(3): 513-521 (2005) - [c11]Qi Lv, Xian-Da Zhang, Ying Jia:
Kalman filtering algorithm for blind source separation. ICASSP (5) 2005: 257-260 - [c10]Xuefeng Zhang, Ying Jia:
A Soft Decision Based Noise Cross Power Spectral Density Estimation for Two-Microphone Speech Enhancement Systems. ICASSP (1) 2005: 813-816 - [c9]Qi Lv, Xianda Zhang, Ying Jia:
Blind Separation Combined Frequency Invariant Beamforming and ICA for Far-field Broadband Acoustic Signals. ISNN (2) 2005: 538-543 - [c8]Xiao-Long Zhu, Xianda Zhang, Ying Jia:
A New Kalman Filtering Algorithm for Nonlinear Principal Component Analysis. ISNN (1) 2005: 1010-1015 - 2004
- [c7]Xin Li, Luo Sun, Linmi Tao, Guangyou Xu, Ying Jia:
A Speaker Tracking Algorithm Based on Audio and Visual Information Fusion Using Particle Filter. ICIAR (2) 2004: 572-580 - [c6]Xiao-Long Zhu, Xian-Da Zhang, Ying Jia:
Adaptive RLS Implementation of Non-negative PCA Algorithm for Blind Source Separation. ISNN (1) 2004: 761-767 - 2003
- [c5]Zhaorong Hou, Ying Jia:
Enhance low-frequency suppression of GSC beamforming. INTERSPEECH 2003: 1401-1404 - 2001
- [c4]Ying Jia, Jinyu Li:
Relax frame independence assumption for standard hmms by state dependent auto-regressive feature models. ICASSP 2001: 485-488 - 2000
- [c3]Qing Guo, Yonghong Yan, Baosheng Yuan, Xiangdong Zhang, Ying Jia, Xiaoxing Liu:
Vocabulary-based acoustic model trim down and task adaptation. INTERSPEECH 2000: 109-112 - [c2]Ying Jia, Yonghong Yan, Baosheng Yuan:
Dynamic threshold setting via Bayesian information criterion (BIC) in HMM training. INTERSPEECH 2000: 169-171
1990 – 1999
- 1998
- [c1]Ying Jia, Limin Du, Ziqiang Hou:
Hierarchical neural networks (HNN) for Chinese continuous speech recognition. ICSLP 1998
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