Ying Zhao

发表

Criterion functions for document clustering

G. Karypis, D. Du, Ying Zhao, 2005 .

Criterion Functions for Document Clustering ∗ Experiments and Analysis

G. Karypis, Ying Zhao, 2001 .

Evaluation of hierarchical clustering algorithms for document datasets

George Karypis, Ying Zhao, G. Karypis, 2002, CIKM '02.

Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering

George Karypis, Ying Zhao, G. Karypis, 2004, Machine Learning.

Soft clustering criterion functions for partitional document clustering: a summary of results

George Karypis, Ying Zhao, G. Karypis, 2004, CIKM '04.

Topic-driven Clustering for Document Datasets

George Karypis, Ying Zhao, G. Karypis, 2005, SDM.

Distance Measures

Geoffrey E. Hinton, M. Puterman, G. Karypis, 2010, Encyclopedia of GIS.

Mining semantic information of co-word network to improve link prediction performance

Ying Zhao, Liang Zhou, Ting Xiong, 2022, Scientometrics.

Effective document clustering for large heterogeneous law firm collections

Ying Zhao, George Karypis, Jack G. Conrad, 2005, International Conference on Artificial Intelligence and Law.

Data clustering in life sciences

George Karypis, Ying Zhao, G. Karypis, 2005, Molecular biotechnology.

Improving cis-regulatory elements modeling by consensus scaffolded mixture models

Wenguang Chen, Weimin Zheng, Ying Zhao, 2011, Science China Information Sciences.

Improve precategorized collection retrieval by using supervised term weighting schemes

George Karypis, Ying Zhao, G. Karypis, 2002, Proceedings. International Conference on Information Technology: Coding and Computing.

Hierarchical Clustering Algorithms for Document Datasets

George Karypis, Ying Zhao, Usama M. Fayyad, 2005, Data Mining and Knowledge Discovery.

Comparison of Agglomerative and Partitional Document Clustering Algorithms

George Karypis, Ying Zhao, G. Karypis, 2002 .

Clustering in life sciences.

George Karypis, Ying Zhao, G. Karypis, 2003, Methods in molecular biology.

Predicting Disk Failures with HMM- and HSMM-Based Approaches

Weimin Zheng, Siqing Gan, Xiang Liu, 2010, ICDM.

OCEAN: Fast Discovery of High Utility Occupancy Itemsets

Weimin Zheng, Ying Zhao, Bilong Shen, 2016, PAKDD.

V-Tree: Efficient kNN Search on Moving Objects with Road-Network Constraints

Guoliang Li, Weimin Zheng, Yue Qin, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

GenLog: Accurate Log Template Discovery for Stripped X86 Binaries

Maosheng Zhang, Ying Zhao, Zengmingyu He, 2017, 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC).

Scalable Distributed Ontology Reasoning Using DHT-Based Partitioning

Guangwen Yang, Weimin Zheng, Qiming Fang, 2008, ASWC.

Topic Discovery and Topic-Driven Clustering for Audit Method Datasets

Shaobin Huang, Ying Zhao, Wanyu Fu, 2011, ADMA.

Topic-Constrained Hierarchical Clustering for Document Datasets

Ying Zhao, Ying Zhao, 2010, ADMA.

Self-correlating predictive information tracking for large-scale production systems

Zhenhuan Gong, Xiaohui Gu, Yongmin Tan, 2009, ICAC '09.

Dynamic ridesharing

Yan Huang, Ying Zhao, Bilong Shen, 2016, SIGSPACIAL.

Correction to: Mining semantic information of co-word network to improve link prediction performance

Ying Zhao, Liang Zhou, Ting Xiong, 2022, Scientometrics.

Cx: Concurrent Execution for the Cross-Server Operations in a Distributed File System

Jiwu Shu, Ying Zhao, Letian Yi, 2012, 2012 IEEE International Conference on Cluster Computing.

Risk-Controlled Selective Prediction for Regression Deep Neural Network Models

Ying Zhao, Zehan Wang, Wenming Jiang, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Deep Belief Networks

이상헌, Geoffrey E. Hinton, 이명구, 2010, Encyclopedia of Machine Learning.

High-capacity ride-sharing via shortest path clustering on large road networks

Weimin Zheng, Yan Huang, Ying Zhao, 2020, J. Supercomput..

An ADMM Approach for Constructing Abnormal Subspace of Sparse PCA

Ying Zhao, Wenmin Jiang, Kazi Abir Adnan, 2020, ICCSA.

A polynomial time approximation scheme for rectilinear Steiner minimum tree construction in the presence of obstacles

Jian Liu, George Karypis, Ying Zhao, 2002, 9th International Conference on Electronics, Circuits and Systems.

Distance Functions

Geoffrey E. Hinton, M. Puterman, G. Karypis, 2010, Encyclopedia of Machine Learning.