Personal Profile

Dr. Chen Jincai, Professor, received his doctor degree from Xi'an Jiaotong University in 2000, majoring in computer architecture. From 2001 to 2003, he was engaged in postdoctoral research in the National Laboratory of Storage Systems, Huazhong University of Science and Technology. During 2011-2012, he was a visiting researcher of the University of California, Santa Cruz, USA. His main research directions are storage theory and technology, big data, machine learning, image processing and affective computing. In recent years, he has taken charge of 4 projects of the National Natural Science Foundation of China, participated in 1 “973” project and 4 “863” projects, published more than 100 papers, and authorized more than 30 invention patents (including 2 US invention patents).

Academic Degrees

1995.2 ~ 2000.12

Xi'an Jiaotong University, computer architecture, doctoral degree

Professional Experience

Courses Taught

Computer systems analysis and performance evaluation

Awards and Honors

2014    first prize of Science and Technology Progress Award of Hubei Province

2010    2009-2010 academic year “Outstanding Teaching”award

2009    2008-2009  academic year “Outstanding Teaching”award

Selected Projects Funded

[1] Huawei cooperation project, PRML model design and implementation based on BDXL standard

[2] Huawei cooperation project, HDD prototype algorithm and advanced magnetic recording technology

[3] National Natural Science Foundation of China (NSFC), Study of Write Mechanism of Ultrahigh Density Three-Dimensional Heat-Assisted Magnetic Recording, 2023/01-2026/12.

[4] National Natural Science Foundation of China (NSFC), Key technologies of read heads array and the recording system for two-dimensional magnetic recording at ultra-high density, 2017/01-2020/12

[5] National Natural Science Foundation of China (NSFC), Key Technologies of Ultra-high Density Shingled Magnetic Recording on Bit Patterned Media, 2013-2016

[6] National Natural Science Foundation of China (NSFC), Motion Stance Modeling and Measurement of Hard Disk Head under Ultra Low Flying Height, 2008/01-2010/12

Selected Publications

[1] W. Chen, J. Chen, Z. Gan, K. Luo, Z. Huang and P. Lu, "High-Field Enhancement of Plasmonics Antenna Using Ring Resonator for HAMR," in IEEE Transactions on Magnetics, vol. 56, no. 7, pp. 1-5, July 2020, Art no. 3000105, doi: 10.1109/TMAG.2020.2990525.

[2] Sheng Zhang, Min Chen, Jincai Chen, Yuan-Fang Li, Yiling Wu, Minglei Li, Chuanbo Zhu, Combining cross-modal knowledge transfer and semi-supervised learning for speech emotion recognition, Knowledge-Based Systems, Volume 229, 2021, 107340, ISSN 0950-7051, https://doi.org/10.1016/j.knosys.2021.107340.

[3] Yaxiong Ma, Yixue Hao, Min Chen, Jincai Chen, Ping Lu, Andrej Košir, Audio-visual emotion fusion (AVEF): A deep efficient weighted approach, Information Fusion, Volume 46, 2019, Pages 184-192, ISSN 1566-2535, https://doi.org/10.1016/j.inffus.2018.06.003.

[4] Wei Chen, Jincai Chen, Fuhao Zou, Yuan-Fang Li, Ping Lu, Qiang Wang, Wei Zhao, Vector and line quantization for billion-scale similarity search on GPUs, Future Generation Computer Systems, Volume 99, 2019, Pages 295-307, ISSN 0167-739X,  https://doi.org/10.1016/j.future.2019.04.033.

[5] Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Jincai Chen, Ping Lu, Qiyang Zhang, Changhui Jiang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu, Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks, Neurocomputing, Volume 428, 2021, Pages 104-115, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2020.10.077.

[6] Sheng Zhang, Min Chen, Jincai Chen, Fuhao Zou, Yuan-Fang Li, Ping Lu, Multimodal feature-wise co-attention method for visual question answering, Information Fusion, Volume 73, 2021, Pages 1-10, ISSN 1566-2535, https://doi.org/10.1016/j.inffus.2021.02.022.

[7] Wei Chen, Jincai Chen, Fuhao Zou, Yuan-Fang Li, Ping Lu, and Wei Zhao. 2019. RobustiQ: A Robust ANN Search Method for Billion-scale Similarity Search on GPUs. In Proceedings of the 2019 on International Conference on Multimedia Retrieval (ICMR '19). Association for Computing Machinery, New York, NY, USA, 132–140. https://doi.org/10.1145/3323873.3325018

[8] H. Liang, W. Ji, R. Wang, Y. Ma, J. Chen and M. Chen, "A Scene-Dependent Sound Event Detection Approach Using Multi-Task Learning," in IEEE Sensors Journal, vol. 22, no. 18, pp. 17483-17489, 15 Sept.15, 2022, doi: 10.1109/JSEN.2021.3098325.

[9] Huang Z, Chen Z, Chen J, Lu P, Quan G, Du Y, Li C, Gu Z, Yang Y, Liu X, Zheng H, Liang D, Hu Z. DaNet: dose-aware network embedded with dose-level estimation for low-dose CT imaging. Phys Med Biol. 2021 Jan 13;66(1):015005. doi: 10.1088/1361-6560/abc5cc. PMID: 33120378.

[10] Wei Chen, Jincai Chen, Zongsong Gan, Yaxiong Ma, Ke Luo, Zhenxing Huang, Yang He, Ping Lu, A simple and effective semi-circle resonator system for bit-patterned HAMR, Physics Letters A, Volume 391, 2021, 127129, ISSN 0375-9601, https://doi.org/10.1016/j.physleta.2020.127129.

[11] Liu, D., Chen, J., Huang, Z., Zeng, N., Lu, P., Yang, L., ... & Wu, M. (2020). A deep attention-based ensemble network for real-time face hallucination. Journal of Real-Time Image Processing, 17(6), 1927-1937.

[12] Luo, K., Wang, S., Xie, G., Chen, W., Chen, J., Lu, P., & Cheng, W. (2019). Read channel modeling and neural network block predictor for two-dimensional magnetic recording. IEEE Transactions on Magnetics, 56(1), 1-5.

[13] Luo, K., Wang, S., Chan, K. S., Chen, W., Chen, J., Lu, P., & Cheng, W. (2019). A study on block-based neural network equalization in TDMR system with LDPC coding. IEEE Transactions on Magnetics, 55(11), 1-5.

[14] Zou, F., Yang, F., Chen, W., Li, K., Song, J., Chen, J., & Ling, H. (2020). Fast large scale deep face search. Pattern Recognition Letters, 130, 83-90.

[15] Wang, S., Chen, J., Luo, K., Xie, G., Lu, P., & Cheng, W. (2019). Joint Four-Reader Array Equalization and Detection for a Single Track in TDMR. IEEE Transactions on Magnetics, 55(12), 1-6.

Professional Affiliations

2008.5-now   senor member of CCF

2008.1-now   ACM Member

2005.1-now   IEEE Member

Research Group

Big Data and Intelligent Cognition Lab

Enrollment Information

Personal Homepage

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