Dr. Ye Li

Research Centre for Biomedical Information Technology, China

Email: [email protected]

Qualifications

2006 Ph.D., Arizona State University, USA

2002 M.Sc., University of Electronic Science and Technology of China

1999 B.Sc., University of Electronic Science and Technology of China

Publications(selected)

1. Gao, C., Zheng, Y., Li, N., Li, Y., Qin, Y., Piao, J., ... & Li, Y. (2023). A survey of graph neural networks for recommender systems: Challenges, methods, and directions. ACM Transactions on Recommender Systems, 1(1), 1-51.
2. Li, Y., Yao, T., Pan, Y., & Mei, T. (2022). Contextual transformer networks for visual recognition. IEEE transactions on pattern analysis and machine intelligence, 45(2), 1489-1500.
3. Gao, C., Wang, X., He, X., & Li, Y. (2022, February). Graph neural networks for recommender system. In Proceedings of the fifteenth ACM international conference on web search and data mining (pp. 1623-1625).
4. Chen, M., Wei, Z., Huang, Z., Ding, B., & Li, Y. (2020, November). Simple and deep graph convolutional networks. In International conference on machine learning (pp. 1725-1735). PMLR.
5. Chen, M., Wei, Z., Huang, Z., Ding, B., & Li, Y. (2020, November). Simple and deep graph convolutional networks. In International conference on machine learning (pp. 1725-1735). PMLR.
6. Yao, Q., Wang, R., Fan, X., Liu, J., & Li, Y. (2020). Multi-class arrhythmia detection from 12-lead varied-length ECG using attention-based time-incremental convolutional neural network. Information Fusion, 53, 174-182.
7. Allen-Zhu, Z., Li, Y., & Liang, Y. (2019). Learning and generalization in overparameterized neural networks, going beyond two layers. Advances in neural information processing systems, 32.
8. Tang, J., Yuan, F., Shen, X., Wang, Z., Rao, M., He, Y., ... & Wu, H. (2019). Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges. Advanced materials, 31(49), 1902761.
9. Fan, X., Yao, Q., Cai, Y., Miao, F., Sun, F., & Li, Y. (2018). Multiscaled fusion of deep convolutional neural networks for screening atrial fibrillation from single lead short ECG recordings. IEEE journal of biomedical and health informatics, 22(6), 1744-1753.
10. Xiao, M., Mumtaz, S., Huang, Y., Dai, L., Li, Y., Matthaiou, M., ... & Ghosh, A. (2017). Millimeter wave communications for future mobile networks. IEEE Journal on Selected Areas in Communications, 35(9), 1909-1935.
11. Shi, C., Li, Y., Zhang, J., Sun, Y., & Philip, S. Y. (2016). A survey of heterogeneous information network analysis. IEEE Transactions on Knowledge and Data Engineering, 29(1), 17-37.
12. Luo, W., Li, Y., Urtasun, R., & Zemel, R. (2016). Understanding the effective receptive field in deep convolutional neural networks. Advances in neural information processing systems, 29.
13. Niu, Y., Li, Y., Jin, D., Su, L., & Vasilakos, A. V. (2015). A survey of millimeter wave communications (mmWave) for 5G: opportunities and challenges. Wireless networks, 21, 2657-2676.
14. Y. Li, Y.W. Zhang, D.Y. Qiao, “Energy-Quality System Design for Wireless Communication”, Journal of Networks, VOL. 6, No. 2, Feb. 2011, pp.272-278.
15. Y. Li, M. Reisslein, C. Chakrabarti, “Energy-efficient video transmission over wireless link”, IEEE Transactions on Vehicular Technology, Vol.58, No.3, Mar. 2009, pp.1229-1244.
16. Y. Li, B. Bakkaloglu, C. Chakrabarti, “A system level energy model and energy-quality evaluation for integrated transceiver front-ends”, IEEE Transaction on VLSI System, Vol.15, No. 1, Jan. 2007, pp.90-103.
17. F. Miao, S. D. Bao, Y. Li, “A modified fuzzy vault scheme for biometric based body sensor networks security”, IEEE GlobeCom 2010.
18. Q. Wang, Y. Li, J. Wu, T.Y. Zhang, “Life Signal Extraction in Through-the-Wall Surveillance” IEEE EMBC 2009.
19. Y. Li, Energy-efficient packet transmission schemes for Mobile Healthcare and Telemedicine, IEEE ITAB 2008, Shenzhen, May 30-31, 2008.

Profile Details

http://www.bit-siat.com/en/index.php?s=/Show/index/cid/10/id/2.html
https://scholar.google.com/citations?user=Vo09I7kAAAAJ&hl=en
https://people.ucas.ac.cn/~yeli?language=en