Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Sunny Y Kung, M.D.


Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
Newest   |   Oldest   |   Most Cited   |   Most Discussed   |   Timeline   |   Field Summary   |   Plain Text
PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Zhou Y, Yang J, Li H, Cao T, Kung SY. Adversarial Learning for Multiscale Crowd Counting Under Complex Scenes. IEEE Trans Cybern. 2021 Nov; 51(11):5423-5432. PMID: 31905157.
    Citations: 1     Fields:    
  2. Al M, Yagli S, Kung SY. Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies. IEEE Trans Neural Netw Learn Syst. 2021 Sep 16; PP. PMID: 34529578.
    Citations:    Fields:    
  3. Kung S, Hu JR, Sivashanker K. Asian Americans and Native Hawaiian/Pacific Islanders Must Stand Up Against Anti-Blackness in Medicine. Acad Med. 2021 06 01; 96(6):773-774. PMID: 34031295.
    Citations:    Fields:    Translation:Humans
  4. Zhou Y, Xie X, Kung SY. Exploiting Operation Importance for Differentiable Neural Architecture Search. IEEE Trans Neural Netw Learn Syst. 2021 May 17; PP. PMID: 33999825.
    Citations:    Fields:    
  5. Zhou Y, Du X, Wang M, Huo S, Zhang Y, Kung SY. Cross-Scale Residual Network: A General Framework for Image Super-Resolution, Denoising, and Deblocking. IEEE Trans Cybern. 2021 Feb 02; PP. PMID: 33531310.
    Citations:    Fields:    
  6. Siegel JK, Kung SY, Wroblewski KE, Kern DW, McClintock MK, Pinto JM. Olfaction Is Associated With Sexual Motivation and Satisfaction in Older Men and Women. J Sex Med. 2021 02; 18(2):295-302. PMID: 33423973.
    Citations:    Fields:    Translation:Humans
  7. Huo S, Zhou Y, Xiang W, Kung SY. Semisupervised Learning Based on a Novel Iterative Optimization Model for Saliency Detection. IEEE Trans Neural Netw Learn Syst. 2019 01; 30(1):225-241. PMID: 29994225.
    Citations:    Fields:    
  8. Zhou Y, Huo S, Xiang W, Hou C, Kung SY. Semi-Supervised Salient Object Detection Using a Linear Feedback Control System Model. IEEE Trans Cybern. 2019 Apr; 49(4):1173-1185. PMID: 29993850.
    Citations: 1     Fields:    
  9. Wan S, Mak MW, Kung SY. FUEL-mLoc: feature-unified prediction and explanation of multi-localization of cellular proteins in multiple organisms. Bioinformatics. 2017 03 01; 33(5):749-750. PMID: 28011780.
    Citations: 10     Fields:    Translation:HumansAnimalsCells
  10. Yu Y, Diamantaras KI, McKelvey T, Kung SY. CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification. IEEE Trans Neural Netw Learn Syst. 2018 02; 29(2):440-456. PMID: 28114038.
    Citations:    Fields:    
  11. Wan S, Mak MW, Kung SY. Ensemble Linear Neighborhood Propagation for Predicting Subchloroplast Localization of Multi-Location Proteins. J Proteome Res. 2016 12 02; 15(12):4755-4762. PMID: 27766879.
    Citations: 6     Fields:    Translation:Cells
  12. Wu PY, Fang CC, Chang JM, Kung SY. Cost-Effective Kernel Ridge Regression Implementation for Keystroke-Based Active Authentication System. IEEE Trans Cybern. 2017 Nov; 47(11):3916-3927. PMID: 27529880.
    Citations: 1     Fields:    
  13. Wan S, Mak MW, Kung SY. Benchmark data for identifying multi-functional types of membrane proteins. Data Brief. 2016 Sep; 8:105-7. PMID: 27294176.
  14. Wan S, Mak MW, Kung SY. Mem-ADSVM: A two-layer multi-label predictor for identifying multi-functional types of membrane proteins. J Theor Biol. 2016 06 07; 398:32-42. PMID: 27000774.
    Citations: 6     Fields:    
  15. Wan S, Mak MW, Kung SY. Sparse regressions for predicting and interpreting subcellular localization of multi-label proteins. BMC Bioinformatics. 2016 Feb 24; 17:97. PMID: 26911432.
    Citations: 6     Fields:    Translation:Humans
  16. Wan S, Mak MW, Kung SY. Transductive Learning for Multi-Label Protein Subchloroplast Localization Prediction. IEEE/ACM Trans Comput Biol Bioinform. 2017 Jan-Feb; 14(1):212-224. PMID: 26887009.
    Citations: 8     Fields:    
  17. Wan S, Mak MW, Kung SY. Mem-mEN: Predicting Multi-Functional Types of Membrane Proteins by Interpretable Elastic Nets. IEEE/ACM Trans Comput Biol Bioinform. 2016 Jul-Aug; 13(4):706-18. PMID: 26336143.
    Citations: 3     Fields:    
  18. Wan S, Mak MW, Kung SY. mLASSO-Hum: A LASSO-based interpretable human-protein subcellular localization predictor. J Theor Biol. 2015 Oct 07; 382:223-34. PMID: 26164062.
    Citations: 8     Fields:    Translation:HumansCells
  19. Wan S, Mak MW, Kung SY. mPLR-Loc: an adaptive decision multi-label classifier based on penalized logistic regression for protein subcellular localization prediction. Anal Biochem. 2015 Mar 15; 473:14-27. PMID: 25449328.
    Citations: 9     Fields:    Translation:AnimalsCells
  20. Wan S, Mak MW, Kung SY. R3P-Loc: a compact multi-label predictor using ridge regression and random projection for protein subcellular localization. J Theor Biol. 2014 Nov 07; 360:34-45. PMID: 24997236.
    Citations: 5     Fields:    Translation:Cells
  21. Wan S, Mak MW, Kung SY. HybridGO-Loc: mining hybrid features on gene ontology for predicting subcellular localization of multi-location proteins. PLoS One. 2014; 9(3):e89545. PMID: 24647341.
    Citations: 13     Fields:    Translation:AnimalsCells
  22. Tobar FA, Kung SY, Mandic DP. Multikernel least mean square algorithm. IEEE Trans Neural Netw Learn Syst. 2014 Feb; 25(2):265-77. PMID: 24807027.
    Citations: 2     Fields:    
  23. Wan S, Mak MW, Kung SY. GOASVM: a subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition. J Theor Biol. 2013 Apr 21; 323:40-8. PMID: 23376577.
    Citations: 22     Fields:    Translation:HumansAnimalsCells
  24. Wan S, Mak MW, Kung SY. mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines. BMC Bioinformatics. 2012 Nov 06; 13:290. PMID: 23130999.
    Citations: 26     Fields:    Translation:Cells
  25. Liang Y, Wu H, Lei R, Chong RA, Wei Y, Lu X, Tagkopoulos I, Kung SY, Yang Q, Hu G, Kang Y. Transcriptional network analysis identifies BACH1 as a master regulator of breast cancer bone metastasis. J Biol Chem. 2012 Sep 28; 287(40):33533-44. PMID: 22875853.
    Citations: 43     Fields:    Translation:HumansAnimalsCells
  26. Mak MW, Wang W, Kung SY. Fast subcellular localization by cascaded fusion of signal-based and homology-based methods. Proteome Sci. 2011 Oct 14; 9 Suppl 1:S8. PMID: 22166017.
  27. Zhao F, Cheong LS, Lin F, Qian K, Seah HS, Kung SY. Registration of in vivo fluorescence endomicroscopy images based on feature detection. Adv Exp Med Biol. 2010; 680:535-48. PMID: 20865538.
    Citations:    Fields:    Translation:HumansAnimals
  28. Mak MW, Guo J, Kung SY. PairProSVM: protein subcellular localization based on local pairwise profile alignment and SVM. IEEE/ACM Trans Comput Biol Bioinform. 2008 Jul-Sep; 5(3):416-22. PMID: 18670044.
    Citations: 12     Fields:    Translation:Cells
  29. Kung SY, Mak MW, Tagkopoulos I. Symmetric and asymmetric multi-modality biclustering analysis for microarray data matrix. J Bioinform Comput Biol. 2006 Apr; 4(2):275-98. PMID: 16819784.
    Citations: 1     Fields:    Translation:HumansAnimalsCells
  30. Wang Y, Adalý T, Kung SY, Szabo Z. Quantification and Segmentation of Brain Tissues from MR Images: A Probabilistic Neural Network Approach. IEEE Trans Image Process. 1998 Aug; 7(8):1165-1181. PMID: 18172510.
    Citations: 4     Fields:    
Local representatives can answer questions about the Profiles website or help with editing a profile or issues with profile data. For assistance with this profile: HMS/HSDM faculty should contact contactcatalyst.harvard.edu. For faculty or fellow appointment updates and changes, please ask your appointing department to contact HMS. For fellow personal and demographic information, contact HMS Human Resources at human_resourceshms.harvard.edu. For faculty personal and demographic information, contact HMS Office for Faculty Affairs at facappthms.harvard.edu.
Kung's Networks
Click the
buttons for more information and interactive visualizations!
Concepts (93)
Similar People (60)
Same Department 
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.