Wu-chun Feng

Wu-chun Feng (a.k.a. "Wu")

Director
SyNeRGy Laboratory

Professor
Dept. of CS
Dept. of ECE
Health Sciences

Other Affiliations
CHREC | VBI |
Wireless @ VT

Profiles
Google Scholar

Contact

Office:
Torgersen Hall 2050
620 Drillfield Drive (Alumni Mall)
Blacksburg, VA.
24061. [map]
Phone:
(540) 231-1192
Fax:
(540) 231-9218
Email:
wfeng [at] vt.edu

Virginia Tech

Publications

For electronic version of publications please visit the Synergy Lab. web site.

  • Optimizing Deep Learning for Biomedical Imaging.
    Ayush Chaturvedi, Guohua Cao, Wu-chun Feng.
    In Proceedings of the 12th International Conference on Computational Advances in Bio and Medical Sciences, Norman, OK, December 2023.
       
  • A 3D Deep Learning Architecture for Denoising Low-Dose CT Scans.
    Armen Kasparian, Guohua Cao, Wu-chun Feng.
    In Proceedings of the 12th International Conference on Computational Advances in Bio and Medical Sciences, Norman, OK, December 2023.
       
  • Exact Distributed Stochastic Block Partitioning.
    Frank Wanye, Vitaliy Gleyzer, Edward Kao, Wu-chun Feng.
    In Proceedings of the 25th IEEE International Conference on Cluster Computing (CLUSTER), Santa Fe, NM, USA, November 2023.
       
  • On the Multi-Dimensional Acceleration of Stochastic Blockmodeling for Community Detection.
    Frank Wanye, Wu-chun Feng.
    In 25th IEEE International Conference on Cluster Computing (CLUSTER), Santa Fe, NM, USA, November 2023.
       
  • Hybrid CPU-GPU Implementation of Edge-Connected Jaccard Similarity in Graph Datasets.
    Atharva Gondhalekar, Paul and Sathre, Wu-chun Feng.
    In The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC23), Denver, CO, USA, November 2023.
       
  • GRAPPEL: A Graph-based Approach for Early Risk Assessment of Acute Hypertension in Critical Care.
    Sonal Jha, Wu-chun Feng.
    In Proceedings of the 14th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB), Houston, TX, September 2023.
       
  • An Integrated Approach for Accelerating Stochastic Block Partitioning.
    Frank Wanye, Vitaliy Gleyzer, Edward Kao, Wu-chun Feng.
    In Proceedings of the 27th IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, September 2023.
    Graph Challenge Champion Award.
       

More ...