Cheng Ye

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 32

Top Venues

University of York, UK (PHD)

Education History

University of York, UK

PHD

Publications

Sumit Walia, Cheng Ye, Arkid Bera, Dhruvi Lodhavia, Yatish Turakhia
TALCO: Tiling Genome Sequence Alignment Using Convergence of Traceback Pointers. HPCA (2024)
Kyle Smith, Cheng Ye, Yatish Turakhia
Tracking and curating putative SARS-CoV-2 recombinants with RIVET. Bioinform. 39 (9) (2023)
Qian Yong, Jueqi Wei, YiRen Zhang, XiLun Zhang, Chao Wei, Simiao Chen, Yunhe Li, Cheng Ye, Bing Huang, Hao Wang
CGSMP: Controllable Generative Summarization via Multimodal Prompt. LGM3A@MM (2023)
Cheng Ye, Wei Li, Yu Hu
A Tightly-Coupled GNSS RTK/INS Positioning Algorithm Based on Adaptive Lag Smoother. IV (2023)
Protiva Rahman, Cheng Ye, Kate Mittendorf, Michele L. LeNoue-Newton, Christine Micheel, Daniel Fabbri
Accelerated Data Curation of Colitis Cases. AMIA (2022)
Peng Chen, Andrew Vivian, Cheng Ye
Forecasting carbon futures price: a hybrid method incorporating fuzzy entropy and extreme learning machine. Ann. Oper. Res. 313 (1) (2022)
Cheng Ye, Bryan Thornlow, Angie S. Hinrichs, Alexander Kramer, Cade Mirchandani, Devika Torvi, Robert Lanfear, Russell Corbett-Detig, Yatish Turakhia
matOptimize: a parallel tree optimization method enables online phylogenetics for SARS-CoV-2. Bioinform. 38 (15) (2022)
Cheng Ye, Rowan Swiers, Stephen Bonner, Ian P. Barrett
A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, Andreas Bender, Charles Tapley Hoyt, William L. Hamilton
A review of biomedical datasets relating to drug discovery: a knowledge graph perspective. Briefings Bioinform. 23 (6) (2022)
Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, William L. Hamilton
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery. CoRR (2021)
Jacob D. Schultz, Colin G. White-Dzuro, Cheng Ye, Joseph R. Coco, Janet M. Myers, Claude Shackelford, S. Trent Rosenbloom, Daniel Fabbri
Extracting Medical Information from Paper COVID-19 Assessment Forms. Appl. Clin. Inform. 12 (01) (2021)
Cheng Ye, Bradley A. Malin, Daniel Fabbri
Leveraging medical context to recommend semantically similar terms for chart reviews. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Zian Wang, Guoan Tang, Guonian Lü, Cheng Ye, Fangzhuo Zhou, Teng Zhong
Positional error modeling of sky-view factor measurements within urban street canyons. Trans. GIS 25 (4) (2021)
Cheng Ye, Rowan Swiers, Stephen Bonner, Ian P. Barrett
Predicting Potential Drug Targets Using Tensor Factorisation and Knowledge Graph Embeddings. CoRR (2021)
Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, Andreas Bender, William L. Hamilton
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective. CoRR (2021)
Teng Zhong, Cheng Ye, Zian Wang, Guoan Tang, Wei Zhang, Yu Ye
City-Scale Mapping of Urban Façade Color Using Street-View Imagery. Remote. Sens. 13 (8) (2021)
Feng Wang, Bin Zhou, Jizhou Hu, Cheng Ye
Research on Quantifiable Target Index System of Distribution Network Planning for Energy Internet. IEEE Access 9 (2021)
Cheng Ye, Alberto Paccanaro, Mark Gerstein, Koon-Kiu Yan
The corrected gene proximity map for analyzing the 3D genome organization using Hi-C data. BMC Bioinform. 21 (1) (2020)
Weili Fang, Hanbin Luo, Shuangjie Xu, Peter E. D. Love, Zhenchuan Lu, Cheng Ye
Automated text classification of near-misses from safety reports: An improved deep learning approach. Adv. Eng. Informatics 44 (2020)
Ken Monahan, Cheng Ye, Edward Gould, Meng Xu, Shi Huang, Anderson Spickard, S. Trent Rosenbloom, Joseph Coco, Daniel Fabbri, Bonnie Miller
Copy-and-Paste in Medical Student Notes: Extent, Temporal Trends, and Relationship to Scholastic Performance. Appl. Clin. Inform. 10 (03) (2019)
Junjie Zhou, Meiyun Zuo, Cheng Ye
Understanding the factors influencing health professionals' online voluntary behaviors: Evidence from YiXinLi, a Chinese online health community for mental health. Int. J. Medical Informatics 130 (2019)
Cheng Ye, Richard C. Wilson, Edwin R. Hancock
Erratum to "Network analysis using entropy component analysis". J. Complex Networks 6 (5) (2018)
Cheng Ye, Richard C. Wilson, Luca Rossi, Andrea Torsello, Edwin R. Hancock
Thermodynamic Analysis of Time Evolving Networks. Entropy 20 (10) (2018)
Cheng Ye, Richard C. Wilson, Edwin R. Hancock
Network analysis using entropy component analysis. J. Complex Networks 6 (3) (2018)
Joseph R. Coco, Cheng Ye, Chen Hajaj, Yevgeniy Vorobeychik, Joshua C. Denny, Laurie L. Novak, Bradley A. Malin, Thomas A. Lasko, Daniel Fabbri
Crowdsourcing Clinical Chart Reviews. AMIA (2018)
Cheng Ye, Daniel Fabbri
Extracting similar terms from multiple EMR-based semantic embeddings to support chart reviews. J. Biomed. Informatics 83 (2018)
Junjie Zhou, Laura Amo, Cheng Ye, Sun Kai
Using Reputation to Predict Online Psychological Counselor Appointment: Evidence from a Chinese Website. SIGMIS-CPR (2018)
Cheng Ye, Juan Xu, Shangzhi Xu, Yeqing Qian, Zhipeng Li
Effect of Vehicle Combinations on the Instability of Heterogeneous Urban Traffic Flow. ITITS (2017)
Filipi Nascimento Silva, Cesar H. Comin, Thomas K. D. M. Peron, Francisco Aparecido Rodrigues, Cheng Ye, Richard C. Wilson, Edwin R. Hancock, Luciano da F. Costa
Concentric network symmetry. Inf. Sci. 333 (2016)
Cheng Ye, Richard C. Wilson, Edwin R. Hancock
Analyzing graph time series using a generative model. ICPR (2016)
Cheng Ye, Richard C. Wilson, Edwin R. Hancock
Correlation Network Evolution Using Mean Reversion Autoregression. S+SSPR (2016)
Cheng Ye, Richard C. Wilson, Edwin R. Hancock
A Jensen-Shannon Divergence Kernel for Directed Graphs. S+SSPR (2016)
Cheng Ye, Richard C. Wilson, Edwin R. Hancock
An Entropic Edge Assortativity Measure. GbRPR (2015)
Cheng Ye, John S. Kinnebrew, Gautam Biswas, Brent J. Evans, Douglas H. Fisher, Gayathri Narasimham, Katherine A. Brady
Behavior Prediction in MOOCs using Higher Granularity Temporal Information. L@S (2015)
Cheng Ye, Andrea Torsello, Richard C. Wilson, Edwin R. Hancock
Thermodynamics of Time Evolving Networks. GbRPR (2015)
Cheng Ye, Cesar H. Comin, Thomas K. D. M. Peron, Filipi Nascimento Silva, Francisco Aparecido Rodrigues, Luciano da Fontoura Costa, Andrea Torsello, Edwin R. Hancock
Thermodynamic characterization of networks using graph polynomials. CoRR (2015)
Cheng Ye, John S. Kinnebrew, James René Segedy, Gautam Biswas
Learning Behavior Characterization with Multi-Feature, Hierarchical Activity Sequences. EDM (2015)
Cheng Ye, Gautam Biswas
Early Prediction of Student Dropout and Performance in MOOCs using Higher Granularity Temporal Information. J. Learn. Anal. 1 (3) (2014)
Cheng Ye, Richard C. Wilson, Edwin R. Hancock
Entropic Graph Embedding via Multivariate Degree Distributions. S+SSPR (2014)
Cheng Ye, Richard C. Wilson, Edwin R. Hancock
Graph Characterization from Entropy Component Analysis. ICPR (2014)
Filipi Nascimento Silva, Cesar H. Comin, Thomas K. D. M. Peron, Francisco Aparecido Rodrigues, Cheng Ye, Richard C. Wilson, Edwin R. Hancock, Luciano da F. Costa
Concentric Symmetry. CoRR (2014)
Cheng Ye, John S. Kinnebrew, Gautam Biswas
Mining and Identifying Relationships Among Sequential Patterns in Multi-Feature, Hierarchical Learning Activity Data. EDM (2014)
Cheng Ye, Richard C. Wilson, Edwin R. Hancock
Heterogeneity Index for Directed Graphs. CAIP (2) (2013)
Cheng Ye, Richard C. Wilson, Cesar H. Comin, Luciano da F. Costa, Edwin R. Hancock
Entropy and Heterogeneity Measures for Directed Graphs. SIMBAD (2013)
Yinghua Min, Yutang Zhou, Zhongcheng Li, Cheng Ye, Yuqi Pan
Behavioral Design and Prototyping of a Fail-Safe System. VLSI Design (1994)

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Publication Activity (10 Years)

Top Topics

Top Venues

Cheng Ye