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57 peer-reviewed articles • 25,081 peer-reviewed citations • Sorted by year • Download PDF (PDF by citations)
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1Effect of eCG on Terminal Follicular Growth and Corpus Luteum Development and Blood Perfusion in Estrous-Synchronized White Lamphun Cattle
Animals, 2025, 15, 867
1.82Citations (PDF)
2An Overview of Advancements in Proteomic Approaches to Enhance Livestock Production and Aquaculture
Animals, 2025, 15, 1946
1.814Citations (PDF)
3Debiased ambient vibrations optical coherence elastography to profile cell, organoid and tissue mechanical properties
Communications Biology, 2023, 6, 1-10
3.312Citations (PDF)
4A Study on Truncated Newton Methods for Linear Classification
IEEE Transactions on Neural Networks and Learning Systems, 2022, 33, 2828-2841
8.320Citations (PDF)
5The H3.3 chaperone Hira complex orchestrates oocyte developmental competence
Development (Cambridge), 2022
2.116Citations (PDF)
6A 3D endometrial organotypic model simulating the acute inflammatory decidualisation initiation phase with epithelial induction of the key endometrial receptivity marker, integrin αVβ3.
Human Reproduction Open, 2021, 2021, hoab034
4.020Citations (PDF)
7Depletion of nuclear LINE1 RNA in mouse ESCs and embryos.
STAR Protocols, 2021, 2, 100726
0.85Citations (PDF)
8Parameter Selection for Linear Support Vector Regression
IEEE Transactions on Neural Networks and Learning Systems, 2020, 31, 5639-5644
8.343Citations (PDF)
9Identifying the Translatome of Mouse NEBD-Stage Oocytes via SSP-Profiling; A Novel Polysome Fractionation Method
International Journal of Molecular Sciences, 2020, 21, 1254
3.322Citations (PDF)
10Newton Methods for Convolutional Neural Networks
ACM Transactions on Intelligent Systems and Technology, 2020, 11, 1-30
5.15Citations (PDF)
11A LINE1-Nucleolin Partnership Regulates Early Development and ESC Identity
Cell, 2018, 174, 391-405.e19
24.4464Citations (PDF)
12An Efficient Alternating Newton Method for Learning Factorization Machines
ACM Transactions on Intelligent Systems and Technology, 2018, 9, 1-31
5.14Citations (PDF)
13Chd1 is essential for the high transcriptional output and rapid growth of the mouse epiblast
Development (Cambridge), 2015, 142, 118-127
2.174Citations (PDF)
14A Fast Parallel Stochastic Gradient Method for Matrix Factorization in Shared Memory Systems
ACM Transactions on Intelligent Systems and Technology, 2015, 6, 1-24
5.181Citations (PDF)
15Unwind and transcribe: chromatin reprogramming in the early mammalian embryo
Current Opinion in Genetics and Development, 2015, 34, 17-23
2.418Citations (PDF)
16Subsampled Hessian Newton Methods for Supervised Learning
Neural Computation, 2015, 27, 1766-1795
1.214Citations (PDF)
17Improved Derivation Efficiency and Pluripotency of Stem Cells from the Refractory Inbred C57BL/6 Mouse Strain by Small Molecules
PLoS ONE, 2014, 9, e106916
1.63Citations (PDF)
18Large-Scale Linear RankSVM
Neural Computation, 2014, 26, 781-817
1.287Citations (PDF)
19Hira-Mediated H3.3 Incorporation Is Required for DNA Replication and Ribosomal RNA Transcription in the Mouse Zygote
Developmental Cell, 2014, 30, 268-279
5.5166Citations (PDF)
20Somatic cells regulate maternal mRNA translation and developmental competence of mouse oocytes
Nature Cell Biology, 2013, 15, 1415-1423
13.4149Citations (PDF)
21A Study on L2-Loss (Squared Hinge-Loss) Multiclass SVM
Neural Computation, 2013, 25, 1302-1323
1.267Citations (PDF)
22Comparison of Feature Selection Methods for Cross-Laboratory Microarray Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2013, 10, 593-604
2.714Citations (PDF)
23Histone variant H3.3 maintains a decondensed chromatin state essential for mouse preimplantation development
Development (Cambridge), 2013, 140, 3624-3634
2.1109Citations (PDF)
24Large Linear Classification When Data Cannot Fit in Memory
ACM Transactions on Knowledge Discovery From Data, 2012, 5, 1-23
2.840Citations (PDF)
25Recent Advances of Large-Scale Linear Classification
Proceedings of the IEEE, 2012, 100, 2584-2603
13.9220Citations (PDF)
26Expression of genes is significantly different in acute myeloid leukemia with a partial tandem duplication of vs. a translocation: a cross-laboratory study
Cancer Genetics, 2011, 204, 252-259
1.913Citations (PDF)
27LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology, 2011, 2, 1-27
5.125,194Citations (PDF)
28Parallel Spectral Clustering in Distributed Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33, 568-586
10.8473Citations (PDF)
29Dual coordinate descent methods for logistic regression and maximum entropy models
Machine Learning, 2010, 85, 41-75
2.3305Citations (PDF)
30Cross-generation and cross-laboratory predictions of Affymetrix microarrays by rank-based methods
Journal of Biomedical Informatics, 2008, 41, 570-579
3.120Citations (PDF)
31Projected Gradient Methods for Nonnegative Matrix Factorization
Neural Computation, 2007, 19, 2756-2779
1.21,470Citations (PDF)
32On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization
IEEE Transactions on Neural Networks, 2007, 18, 1589-1596
3.8332Citations (PDF)
33A Study on SMO-Type Decomposition Methods for Support Vector Machines
IEEE Transactions on Neural Networks, 2006, 17, 893-908
3.8266Citations (PDF)
34A tutorial on ν-support vector machines
Applied Stochastic Models in Business and Industry, 2005, 21, 111-136
1.0403Citations (PDF)
35Leave-One-Out Bounds for Support Vector Regression Model Selection
Neural Computation, 2005, 17, 1188-1222
1.294Citations (PDF)
36Analysis of switching dynamics with competing support vector machines
IEEE Transactions on Neural Networks, 2004, 15, 720-727
3.816Citations (PDF)
37Decomposition Methods for Linear Support Vector Machines
Neural Computation, 2004, 16, 1689-1704
1.235Citations (PDF)
38Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions
Protein Science, 2004, 13, 1402-1406
3.6821Citations (PDF)
39Prediction of the bonding states of cysteines Using the support vector machines based on multiple feature vectors and cysteine state sequences
Proteins: Structure, Function and Bioinformatics, 2004, 55, 1036-1042
2.053Citations (PDF)
40Load forecasting using support vector Machines: a study on EUNITE competition 2001
IEEE Transactions on Power Systems, 2004, 19, 1821-1830
6.1709Citations (PDF)
41Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel
Neural Computation, 2003, 15, 1667-1689
1.21,403Citations (PDF)
42A study on reduced support vector machines
IEEE Transactions on Neural Networks, 2003, 14, 1449-1459
3.8194Citations (PDF)
43Radius Margin Bounds for Support Vector Machines with the RBF Kernel
Neural Computation, 2003, 15, 2643-2681
1.2180Citations (PDF)
44A Note on the Decomposition Methods for Support Vector Regression
Neural Computation, 2002, 14, 1267-1281
1.219Citations (PDF)
45A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks, 2002, 13, 415-425
3.85,317Citations (PDF)
46A formal analysis of stopping criteria of decomposition methods for support vector machines
IEEE Transactions on Neural Networks, 2002, 13, 1045-1052
3.864Citations (PDF)
47Asymptotic convergence of an SMO algorithm without any assumptions
IEEE Transactions on Neural Networks, 2002, 13, 248-250
3.8101Citations (PDF)
48Training v-Support Vector Regression: Theory and Algorithms
Neural Computation, 2002, 14, 1959-1977
1.2293Citations (PDF)
49A Simple Decomposition Method for Support Vector Machines
Machine Learning, 2002, 46, 291-314
2.3222Citations (PDF)
50Training v-Support Vector Classifiers: Theory and Algorithms
Neural Computation, 2001, 13, 2119-2147
1.2442Citations (PDF)
51On the convergence of the decomposition method for support vector machines
IEEE Transactions on Neural Networks, 2001, 12, 1288-1298
3.8184Citations (PDF)
52Solving quadratic semi-infinite programming problems by using relaxed cutting-plane scheme
Journal of Computational and Applied Mathematics, 2001, 129, 89-104
1.718Citations (PDF)
53Solving General Capacity Problem by Relaxed Cutting Plane Approach
Annals of Operations Research, 2001, 103, 193-211
1.64Citations (PDF)
54Formulations of Support Vector Machines: A Note from an Optimization Point of View
Neural Computation, 2001, 13, 307-317
1.285Citations (PDF)
55The analysis of decomposition methods for support vector machines
IEEE Transactions on Neural Networks, 2000, 11, 1003-1008
3.8132Citations (PDF)
56Efficient test-point selection for scan-based BIST
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 1998, 6, 667-676
2.224Citations (PDF)
57The AAV origin binding protein Rep68 is an ATP-dependent site-specific endonuclease with DNA helicase activity.
Cell, 1990, 61, 447-57
24.4420Citations (PDF)