Hierarchical neural networks (HNN) for Chinese continuous speech recognition. - Ying Jia; Limin Du; Ziqiang Hou (ICSLP, 1998)

Neural-Voice: A Hybrid-based Recognition System for Chinese Continuous Speech. - Ying Jia; Bowen Zhou; Limin Du; Ziqiang Hou (ISCSLP, 1998)

Improving the Front-End Robustness for Chinese Telephone Speech Recognition. - Bowen Zhou; Ying Jia; Limin Du (ISCSLP, 1998)

Vocabulary-based acoustic model trim down and task adaptation. - Qing Guo; Yonghong Yan 002; Baosheng Yuan; Xiangdong Zhang; Ying Jia; Xiaoxing Liu (INTERSPEECH, 2000)

Dynamic threshold setting via Bayesian information criterion (BIC) in HMM training. - Ying Jia; Yonghong Yan 002; Baosheng Yuan (INTERSPEECH, 2000)

Word Error Rate Reduction by Bottom-Up Tone Integration to Chinese Continuous Speech Recognition System. - Ying Jia; Yonghong Yan 002; Baosheng Yuan; Jian Liu (ISCSLP, 2000)

Develop Telephony Speech Recognition Systems for Real-world Application. - Xiangdong Zhang; Baosheng Yuan; Ying Jia; Lingyun Tuo; Yonghong Yan 002 (ISCSLP, 2000)

Relax frame independence assumption for standard hmms by state dependent auto-regressive feature models. - Ying Jia; Jinyu Li (ICASSP, 2001)

Enhance low-frequency suppression of GSC beamforming. - Zhaorong Hou; Ying Jia (INTERSPEECH, 2003)

A Speaker Tracking Algorithm Based on Audio and Visual Information Fusion Using Particle Filter. - Xin Li 006; Luo Sun; Linmi Tao; Guangyou Xu; Ying Jia (ICIAR (2), 2004)

Adaptive RLS Implementation of Non-negative PCA Algorithm for Blind Source Separation. - Xiao-Long Zhu; Xian-Da Zhang; Ying Jia (ISNN (1), 2004)

Kalman filtering algorithm for blind source separation. - Qi Lv; Xian-Da Zhang; Ying Jia (ICASSP (5), 2005)

A Soft Decision Based Noise Cross Power Spectral Density Estimation for Two-Microphone Speech Enhancement Systems. - Xuefeng Zhang; Ying Jia (ICASSP (1), 2005)

Blind Separation Combined Frequency Invariant Beamforming and ICA for Far-field Broadband Acoustic Signals. - Qi Lv; Xianda Zhang 001; Ying Jia (ISNN (2), 2005)

A New Kalman Filtering Algorithm for Nonlinear Principal Component Analysis. - Xiao-Long Zhu; Xianda Zhang 001; Ying Jia (ISNN (1), 2005)

Neural network learning algorithms for tracking minor subspace in high-dimensional data stream. - Da-Zheng Feng; Wei Xing Zheng 001; Ying Jia (IEEE Trans. Neural Networks, 2005)

Distributed Microphone Arrays for Digital Home and Office. - Ying Jia; Yu Luo; Yan Lin; Igor Kozintsev (ICASSP (5), 2006)

Adaptive nonlinear PCA algorithms for blind source separation without prewhitening. - Xiao-Long Zhu; Xian-Da Zhang; Zizhe Ding; Ying Jia (IEEE Trans. Circuits Syst. I Regul. Pap., 2006)

Construction of vision-based manipulation system for 3D industrial objects. - Guangtao Zhao; Ying Jia; Zhicai Ou (ROBIO, 2009)

Multi-occlusion handling in depth estimation of light fields. - Ying Jia; Weihai Li (ICME Workshops, 2017)

Online Data Flow Prediction Using Generalized Inverse Based Extreme Learning Machine. - Ying Jia (MUE/FutureTech, 2018)

Memory-Based Neural Network for Radar HRRP Noncooperative Target Recognition. - Ying Jia; Bo Chen 001; Long Tian; Wenchao Chen; Hongwei Liu 001 (SAM, 2020)

An Image Enhancement Algorithm Based on Fractional-Order Phase Stretch Transform and Relative Total Variation. - Wei Wang; Ying Jia; Qiming Wang; Pengfei Xu (Comput. Intell. Neurosci., 2021)

Application of Image Processing Based on Improved Canny Algorithm and Gurukin's Theorem. - Yufei Xie; Weiwei Yu; Shasha Song; Wenlin Wang; Ying Jia; Xin Gao; Chongyang Wang (ICISS, 2023)

Anime Sketch Coloring Based on Self-attention Gate and Progressive PatchGAN. - Hang Li; Nianyi Wang; Jie Fang; Ying Jia; Liqi Ji; Xin Chen (PRCV (11), 2023)

Image Inpainting of Thangka Murals Using Edge-Assisted Feature Fusion and Self Attention Based Local Refine Network. - Ying Jia; Hang Li; Jie Fang; Xin Chen; Liqi Ji; Nianyi Wang (IEEE Access, 2023)

Thangka mural style transfer based on progressive style-attentional network and multi-level loss function. - Jie Fang; Hang Li; Ying Jia; Liqi Ji; Xin Chen; Nianyi Wang (J. Electronic Imaging, 2023)

The continuous memory: A neural network with ordinary differential equations for continuous-time series analysis. - Bo Li; Haoyu Chen; Zhiyong An; Yuan Yu; Ying Jia; Long Chen; Mingyan Sun (Appl. Soft Comput., 2024)

Porosity Prediction Based on Ensemble Learning for Feature Selection and an Optimized GRU Improved by the PSO Algorithm. - Miaomiao Liu 005; Haoran Xu; Fengda Zhao; Qiang Zhang; Ying Jia; Jiahao Xi (Int. J. Comput. Intell. Syst., 2024)

MSGN-Route: A multi-scale dynamic graph neural network for enhancing the accuracy of pick-up and delivery route predictions. - Bo Li 105; Junjie Zhan; Ying Jia; Yuan Yu (Expert Syst. Appl., 2025)

SFC: a time series decomposition attention network with continuous nature for time series analysis. - Haoyu Chen; Bo Li 105; Zhiyong An; Yuan Yu; Ying Jia (Data Min. Knowl. Discov., 2025)