发表论文
科研成果
俞容山教授代表性论文:
R. Yu and W. Yang, “ScaleQC: A Scalable Lossy to Lossless Solution for NGS Data Compression,” Bioinformatics, 2020
M. Gao, M. Ling, X. Tang, S. Wang, X. Xiao, Y. Qiao, W. Yang, R. Yu, “Comparison of High-Throughput Single-Cell RNA Sequencing Data Processing Pipelines,” Brief in Bioinformatics, 2020
L. Wang, Y. Jiao, Y. Qiao, N. Zeng, R. Yu, “A novel approach combined transfer learning and deep learning to predict TMB from histology image,” Pattern Recognition Letters, 2020
Y Lin, H Li, X Xiao, W Yang, R Yu, “DAISM-DNN: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks,” bioRxiv, 2020
W. Yang, L. Huang, C. Shi, L. Wang, R. Yu, “UltraStrain: An NGS-Based Ultra Sensitive Strain Typing Method for Salmonella enterica,” Frontiers in Genetics, 2019
S. Wang, W, Yang, X. Zhang, R. Yu, “Performance Evaluation of IMP: A Rapid Secondary Analysis Pipeline for NGS Data,” IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2018
W. Yang, Y. Lin, S. Wu, R. Yu, “Improving Coding Efficiency of MPEG-G Standard Using Context-Based Arithmetic Coding,” IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2018
J. Hu, C. Si, M. Lind, R. Yu, “Preventing distribution grid congestion by integrating indirect control in a hierarchical electric vehicles’ management system,” IEEE Transactions on Transportation Electrification, Vol 2, No. 3, 2016
H. Shu, R. Yu, W. Jiang and W. Yang, “Efficient Implementation of $k$-Nearest Neighbor Classifier Using Vote Count Circuit,” IEEE Transactions on Circuit and System II, Vol. 61, No. 6, June 2014.
R. Yu, H. Shu and W. Jiang, “Low Complexity Packet Scheduling Algorithms for Streaming Scalable Media Based on Time Utility Function,” IEEE Transactions on Multimedia, Vol. 16 , No. 8, pp. 2270 - 2280, Sep 2014.
H. Shu, W. Yang, C. C. Chai and R. Yu, “Demand Response Based on Voluntary Time Dependent Pricing Scheme,” APSIPA Transactions on Signal and Information Processing, volume 3, 2014
R. Yu, Y. Song and M. Nambiar, “System Identification Using Prominent Subspace LMS,” Digital Signal Processing 27, 44-56, 2014
W. Yang, R. Yu, M. Nambiar, “Quantifying the Benefits to Consumers for Demand Response with a Statistical Elasticity Model”, IET Generation, Transmission & Distribution, Volume 8, Issue 3, p. 503 – 515, March 2014.
H. Shu, R. Yu and H. Huang, “‘Optimal Normalization of Prediction Residual for Predictive Coding with Random Access,” IET Signal Processing 09/2014 8(7):710-719
H. Huang, H. Shu and R. Yu, “Lossless Audio Compression in the New IEEE Standard for Advanced Audio Coding,” ICASSP 2014.
W. Jiang, R. Yu, “High-Performance, Very Low Power Content-based Search Engine,” IEEE International Conference of Multimedia and Expo (ICME) 2013
R. Yu, “Speech enhancement based on soft audible noise masking and noise power estimation”, Speech Communication, 55 (2013), pp. 964-974, 2013.
R. Yu, W. Yang, and S. Rahardja, “A statistical demand-price model with its application in optimal real-time price of electricity,” IEEE Transactions on Smart Grid, Vol. 3, No. 4, Dec 2012.
学生论文:
Lihong Huang, Bin Hong, Wenxian Yang, Liansheng Wang, Rongshan Yu，Snipe: highly sensitive pathogen detection from metagenomic sequencing data，Briefings in Bioinformatics，Published: 05 April 2021
Zheng Wang, Xiaoliang Fan*, Jianzhong Qi, Cheng Wang, Rongshan Yu, Chenglu Wen, Federated Learning with Fair Averaging, 30th International Joint Conference on Artificial Intelligence, Montreal-themed Virtual Reality (AAAI21), August 21-26, 2021, Accepted. [CCF A类会议，Acceptance rate: 13.9%].
