Yizong Cheng

Ph.D: Purdue University 1986

Self-organizing algorithms; Similarity and uncertainty representations; Computational biology; Machine learning; Digital libraries; Computer networks; Compilers. Test

Grant: #OSP 03106 Investigators:Cheng, Yizong 07-01-2002 -04-03-2005 Procter & Gamble Company Systematic Analysis of Gene Networks Role:PI $126,767.00 Closed Level:Industry

Grant: #SRS 006205 Investigators:Cheng, Yizong 06-01-2009 -12-31-2011 Procter & Gamble Company Modeling Discovery by Analyzing Evolving Knowledge Networks Role:PI $100,000.00 Closed Level:Industry

Grant: #Project Number 201674 Investigators:Cheng, Yizong 05-01-2012 -04-30-2013 Procter & Gamble Company Genome-Based Multi-Ingredient Treatment Selection Role:PI $100,000.00 Active Level:Industry

Peer Reviewed Publications

Xie Q.;Cheng Y.  (01-01-2014). K-Centers Mean-shift Reverse Mean-shift clustering algorithm over heterogeneous wireless sensor netw. Wireless Telecommunications SymposiumMore Information

Cheng Y.;Lu C.;Wang N.  (12-01-2013). Local k-core clustering for gene networks. Proceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013, 9-15More Information

Xie Q.;Cheng Y.  (09-09-2013). K-centers Min-Max clustering algorithm over heterogeneous wireless sensor networks. Wireless Telecommunications SymposiumMore Information

Cheng Y.;Liu A.;Guo Y.;Qi X.  (11-01-2004). Computational models for the helix tilt angle. Journal of Chemical Information and Computer Sciences, 44 (6) , 1952-1960More Information

Cheng Y.  (01-01-1998). Batch self-organizing maps on a unit sphere. IEEE International Conference on Neural Networks - Conference Proceedings, 3, 2273-2276

Cheng Y.  (11-15-1997). Convergence and Ordering of Kohonen's Batch Map. Neural Computation, 9 (8) , 1667-1676More Information

Cheng Y.  (01-01-1995). Mean Shift, Mode Seeking, and Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17 (8) , 790-799More Information

Cheng Y.  (12-01-1994). Fuzzy clustering as blurring. IEEE International Conference on Fuzzy Systems, 3, 1830-1834

Yang Y.;Cheng Y.;Zhao R.;Govind R.  (12-01-1994). Process optimization using neural networks. IEEE International Conference on Neural Networks - Conference Proceedings, 7, 4635-4639

Cheng Y.;Kashyap R.  (01-01-1992). Study of associative evidential reasoning. IEEE Transactions on Pattern Analysis and Machine Intelligence, v (n) , 623-631

Cheng Y.;Kashyap R.  (01-01-1989). A Study of Associative Evidential Reasoning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11 (6) , 623-631More Information

Cheng Y.;Kashyap R.  (03-01-1988). An axiomatic approach for combining evidence from a variety of sources. Journal of Intelligent and Robotic Systems, 1 (1) , 17-33More Information

Kashyap R.;Cheng Y.  (12-01-1986). CONSISTENCY PROBLEM OF STATISTICAL INDEPENDENCE ASSUMPTIONS., 68-69

Cheng Y.;Kashyap R.  (12-01-1986). CONSTRUCTION AND INTERPRETATIONS OF FORMULAS FOR COMBINING EVIDENCE. Proceedings - International Conference on Pattern Recognition, 1226-1229

Cheng Y.;Kashyap R.  (03-26-1986). Study of the different methods for combining evidence. Proceedings of SPIE - The International Society for Optical Engineering, 635, 384-393More Information

Cheng Y.;Fu K.  (01-01-1985). Conceptual Clustering in Knowledge Organization. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-7 (5) , 592-598More Information