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Fang Han
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2020 – today
- 2024
- [j48]Fang Han, Jiyuan Ren:
Analyzing Big Data Professionals: Cultivating Holistic Skills Through University Education and Market Demands. IEEE Access 12: 23568-23577 (2024) - [j47]Zilu Liu, Fang Han, Ying Yu, Qingyun Wang:
Role of hierarchical heterogeneity in shaping seizure onset dynamics: Insights from structurally-based whole-brain dynamical network models. Commun. Nonlinear Sci. Numer. Simul. 130: 107721 (2024) - [j46]Hanbing Liu, Fang Han, Yajuan Zhang:
Malicious traffic detection for cloud-edge-end networks: A deep learning approach. Comput. Commun. 215: 150-156 (2024) - [j45]Fang Han, Ruhao Zhang, Shengtai Zhang, Junpeng Yuan:
International mobility characteristics, effects of, and effects on elite scientists. J. Informetrics 18(1): 101485 (2024) - [j44]Yiqi Wu, Fang Han, Dejun Zhang, Tiantian Zhang, Yilin Chen:
Unsupervised non-rigid point cloud registration based on point-wise displacement learning. Multim. Tools Appl. 83(8): 24589-24607 (2024) - [j43]Qinghua Zhu, Fang Han, Ying Yu, Fengjie Wang, Qingyun Wang, Awais Shakeel:
A spinal circuit model with asymmetric cervical-lumbar layout controls backward locomotion and scratching in quadrupeds. Neural Networks 178: 106422 (2024) - 2023
- [j42]Jingyu Wang, Jingying Ma, Shenda Hong, Chi Zhang, Jianliu Wang, Linyan Zhang, Xinran Liu, Rui Bai, Xiaosong Dong, Guoli Liu, Fang Han:
Signal Quality Index for the fetal heart rates: Development and improvements for fetal monitoring. Expert Syst. Appl. 213(Part): 119244 (2023) - [j41]Itzy E. Morales Pantoja, Lena Smirnova, Alysson R. Muotri, Karl J. Wahlin, Jeffrey Kahn, J. Lomax Boyd, David H. Gracias, Timothy D. Harris, Tzahi Cohen-Karni, Brian S. Caffo, Alexander S. Szalay, Fang Han, Donald J. Zack, Ralph Etienne-Cummings, Akwasi Akwaboah, July Carolina Romero, Dowlette-Mary Alam El Din, Jesse D. Plotkin, Barton L. Paulhamus, Erik C. Johnson, Frederic Gilbert, J. Lowry Curley, Ben Cappiello, Jens C. Schwamborn, Eric J. Hill, Paul Roach, Daniel Tornero, Caroline Krall, Rheinallt Parri, Fenna Sillé, Andre Levchenko, Rabih E. Jabbour, Brett J. Kagan, Cynthia A. Berlinicke, Qi Huang, Alexandra Maertens, Kathrin Herrmann, Katya Tsaioun, Raha M. Dastgheyb, Christa Whelan Habela, Joshua T. Vogelstein, Thomas Hartung:
First Organoid Intelligence (OI) workshop to form an OI community. Frontiers Artif. Intell. 6 (2023) - [j40]Qinghua Zhu, Fengjie Wang, Fang Han:
Contributions of M- and Persistent Sodium Currents in Regulating Locomotor Rhythms: A Computational Modeling Study. Int. J. Bifurc. Chaos 33(12): 2350143:1-2350143:22 (2023) - [j39]Lining Yin, Fang Han, Ying Yu, Qingyun Wang:
Obsession, compulsion and learning in obsessive-compulsive disorder: A multilevel computational model. Neurocomputing 549: 126461 (2023) - [j38]Baoshi He, Fang Han, Jiali Han, Qingliu Ren, Ying Li:
The Ecological Evolution Analysis of Heritage Sites Based on The Remote Sensing Ecological Index - A Case Study of Kalajun-Kuerdening World Natural Heritage Site. Remote. Sens. 15(5): 1179 (2023) - [j37]Jiayue Wan, Zesong Fei, Zicheng Liu, Quanwen Qi, Fang Han, Xiaoran Li, Zhiming Chen:
A 20.65-to-40.55 GHz Dual-Core Quad-Mode VCO With Mode-Independent Transformer-Switching Technique in 65-nm CMOS. IEEE Trans. Circuits Syst. II Express Briefs 70(11): 4073-4077 (2023) - [j36]Fang Han, Zhen Miao, Yandi Shen:
Nonparametric Mixture MLEs Under Gaussian-Smoothed Optimal Transport Distance. IEEE Trans. Inf. Theory 69(12): 7823-7835 (2023) - [i6]Ryan J. Urbanowicz, Harsh Bandhey, Brendan T. Keenan, Greg Maislin, Sy Hwang, Danielle L. Mowery, Shannon M. Lynch, Diego R. Mazzotti, Fang Han, Qing Yun Li, Thomas Penzel, Sergio Tufik, Lia Bittencourt, Thorarinn Gislason, Philip de Chazal, Bhajan Singh, Nigel McArdle, Ning-Hung Chen, Allan Pack, Richard J. Schwab, Peter A. Cistulli, Ulysses J. Magalang:
STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers. CoRR abs/2312.05461 (2023) - 2022
- [j35]Wenming Guo, Zihao Wang, Fang Han:
Multifeature Fusion Keyword Extraction Algorithm Based on TextRank. IEEE Access 10: 71805-71813 (2022) - [j34]Wenming Guo, Junda Lu, Fang Han:
Named Entity Recognition for Chinese Electronic Medical Records Based on Multitask and Transfer Learning. IEEE Access 10: 77375-77382 (2022) - [j33]Shenyi Ding, Zhijie Wang, Jue Zhang, Fang Han, Xiaochun Gu:
Time delay system identification using controlled recurrent neural network and discrete bayesian optimization. Appl. Intell. 52(8): 8351-8371 (2022) - [j32]Xiaoyu Lin, Huan Nie, Ran Tang, Pingping Wang, Xiyun Jin, Qinghua Jiang, Fang Han, Na Chen, Yu Li:
Network analysis between neuron dysfunction and neuroimmune response based on neural single-cell transcriptome of COVID-19 patients. Comput. Biol. Medicine 150: 106055 (2022) - [j31]Xiaomin Wang, Ying Yu, Fang Han, Qingyun Wang:
Beta-band bursting activity in computational model of heterogeneous external globus pallidus circuits. Commun. Nonlinear Sci. Numer. Simul. 110: 106388 (2022) - [j30]Zilu Liu, Qingyun Wang, Fang Han:
Synaptic Role in Facilitating Synchronous Theta Oscillations in a Hybrid Hippocampal Neuronal Network. Frontiers Comput. Neurosci. 16: 791189 (2022) - [j29]Yuanyuan Yuan, Fang Han, Qinghua Zhu, Wenlian Lu:
Transition of Chimera States and Synchronization in Two-Layer Networks of Coupled Hindmarsh-Rose Neurons. Int. J. Bifurc. Chaos 32(1): 2230003:1-2230003:12 (2022) - [j28]Xiaodong Chen, Zhaoping Yang, Tian Wang, Fang Han:
Landscape Ecological Risk and Ecological Security Pattern Construction in World Natural Heritage Sites: A Case Study of Bayinbuluke, Xinjiang, China. ISPRS Int. J. Geo Inf. 11(6): 328 (2022) - [j27]Ying Yu, Fang Han, Qingyun Wang:
Exploring phase-amplitude coupling from primary motor cortex-basal ganglia-thalamus network model. Neural Networks 153: 130-141 (2022) - [j26]Yandi Shen, Qiyang Han, Fang Han:
On a Phase Transition in General Order Spline Regression. IEEE Trans. Inf. Theory 68(6): 4043-4069 (2022) - [c28]Fang Han, Baozhen Shan, Kaizhong Zhang:
De novo sequencing of multiple SILAC-based tandem mass spectra. ICCI*CC 2022: 1-6 - [c27]Xu Zhang, Fang Han, Hui Fu, Ping Wang, Jingjing Zheng, Pancheng Liu:
Traffic Classification Using an Efficient Lightweight Convolutional Network. ICNCC 2022: 167-172 - [i5]Zhexiao Lin, Fang Han:
Limit theorems of Chatterjee's rank correlation. CoRR abs/2204.08031 (2022) - 2021
- [j25]Meng Xia, Zhijie Wang, Fang Han, Yanting Kang:
Enhanced Multi-Dimensional and Multi-Grained Cascade Forest for Cloud/Snow Recognition Using Multispectral Satellite Remote Sensing Imagery. IEEE Access 9: 131072-131086 (2021) - [j24]Shenyi Ding, Zhijie Wang, Jue Zhang, Fang Han, Xiaochun Gu, Guangxiao Song:
A PCC-Ensemble-TCN model for wind turbine icing detection using class-imbalanced and label-missing SCADA data. Int. J. Distributed Sens. Networks 17(11): 155014772110577 (2021) - [j23]Shuai Yang, Rong Huang, Fang Han:
Progressively Inpainting Images Based on a Forked-Then-Fused Decoder Network. Sensors 21(19): 6336 (2021) - [j22]Junwei Lu, Fang Han, Han Liu:
Robust Scatter Matrix Estimation for High Dimensional Distributions With Heavy Tail. IEEE Trans. Inf. Theory 67(8): 5283-5304 (2021) - [c26]Wenming Guo, Yifei Wang, Fang Han:
Attention-Guided CutMix Data Augmentation Network for Fine-Grained Bird Recognition. ICAIIS 2021: 120:1-120:5 - [c25]Fang Han:
Analysis of Spanish Teaching Mode under Internet. ICISCAE (ACM) 2021: 938-942 - [i4]Zhen Miao, Weihao Kong, Ramya Korlakai Vinayak, Wei Sun, Fang Han:
Fisher-Pitman permutation tests based on nonparametric Poisson mixtures with application to single cell genomics. CoRR abs/2106.03022 (2021) - [i3]Fang Han, Zhen Miao, Yandi Shen:
Nonparametric mixture MLEs under Gaussian-smoothed optimal transport distance. CoRR abs/2112.02421 (2021) - 2020
- [j21]Qinghua Zhu, Jianwei Shen, Fang Han, Wenlian Lu:
Bifurcation Analysis and Probabilistic Energy Landscapes of Two-Component Genetic Network. IEEE Access 8: 150696-150708 (2020) - [j20]Guangxiao Song, Zhijie Wang, Fang Han, Shenyi Ding, Xiaochun Gu:
Music auto-tagging using scattering transform and convolutional neural network with self-attention. Appl. Soft Comput. 96: 106702 (2020) - [j19]Zhijie Wang, Xia Peng, Fang Han, Guangxiao Song:
A novel parallel clock-driven algorithm for simulation of neuronal networks based on virtual synapse. Simul. 96(4) (2020) - [c24]Xiaochun Gu, Xia Peng, Fang Han, Zhijie Wang:
Regeneration of Gamma Oscillations in Large-scale Neural Network with Complicated Structure Based on CUDA. SPML 2020: 8-12
2010 – 2019
- 2019
- [j18]Zhiqiang Zhang, Rong Huang, Fang Han, Zhijie Wang:
Image Error Concealment Based on Deep Neural Network. Algorithms 12(4): 82 (2019) - [j17]Fang Han, Jinwei Jiang, Kai Xu, Ning Wang:
Damage Detection of Common Timber Connections Using Piezoceramic Transducers and Active Sensing. Sensors 19(11): 2486 (2019) - [c23]Fang Han, Dantian Zhong, Qiang Gao, Feng Yuan, Yunhua Zhang:
Development of Insulation Parameter Monitoring System for Transmission Line Arrester. AMLTA 2019: 854-860 - 2018
- [j16]Guangxiao Song, Zhijie Wang, Fang Han, Shenyi Ding, Muhammad Ather Iqbal:
Music auto-tagging using deep Recurrent Neural Networks. Neurocomputing 292: 104-110 (2018) - [j15]Xia Peng, Zhijie Wang, Fang Han, Guangxiao Song, Shenyi Ding:
A novel time-event-driven algorithm for simulating spiking neural networks based on circular array. Neurocomputing 292: 121-129 (2018) - [j14]Fang Han, Xiaofeng Liao, Bo Yang, Yushu Zhang:
A hybrid scheme for self-adaptive double color-image encryption. Multim. Tools Appl. 77(11): 14285-14304 (2018) - [j13]Fang Han, Christopher L. Magee:
Testing the science/technology relationship by analysis of patent citations of scientific papers after decomposition of both science and technology. Scientometrics 116(2): 767-796 (2018) - 2017
- [j12]Babar Khan, Zhijie Wang, Fang Han, Ather Iqbal, Rana Javed Masood:
Fabric Weave Pattern and Yarn Color Recognition and Classification Using a Deep ELM Network. Algorithms 10(4): 117 (2017) - [j11]Fang Han, Zhijie Wang, Hong Fan:
Determine Neuronal Tuning Curves by Exploring Optimum Firing Rate Distribution for Information Efficiency. Frontiers Comput. Neurosci. 11: 10 (2017) - [c22]Fang Han, Xiaofeng Liao, Huiwei Wang, Bo Yang, Yushu Zhang:
A self-adaptive scheme for double color-image encryption. ICACI 2017: 121-128 - [c21]Guangxiao Song, Zhijie Wang, Fang Han, Shenyi Ding:
Transfer Learning for Music Genre Classification. IFIP TC12 ICIS 2017: 183-190 - [i2]Fang Han, Christopher L. Magee:
Testing the science/technology relationship by analysis of patent citations of scientific papers after decomposition of both science and technology. CoRR abs/1705.00258 (2017) - 2016
- [j10]Qi Shi, Fang Han, Zhijie Wang, Caiyun Li:
Rhythmic Oscillations of Excitatory Bursting Hodkin-Huxley Neuronal Network with Synaptic Learning. Comput. Intell. Neurosci. 2016: 6023547:1-6023547:8 (2016) - [j9]Ya Zhang, Fang Han:
Embedded Spectrum Sensor Network Architecture and Transmission Medium Test Based on TCP/IP. Int. J. Online Eng. 12(5): 38-42 (2016) - [j8]Shengtai Zhang, Fang Han:
Identifying emerging topics in a technological domain. J. Intell. Fuzzy Syst. 31(4): 2147-2157 (2016) - [c20]Yirui Wang, Zhe Xu, Jian Sun, Fang Han, Yuki Todo, Shangce Gao:
Ant Colony Optimization with Neighborhood Search for Dynamic TSP. ICSI (1) 2016: 434-442 - 2015
- [j7]Zhihong Shen, Jianhui Li, Fang Han:
Opencsdb: Research on The Application of Linked Data in Scientific Databases. Data Sci. J. 14: 4 (2015) - [j6]Fang Han, Zhijie Wang, Hong Fan, Xiaojuan Sun:
Optimum neural tuning curves for information efficiency with rate coding and finite-time window. Frontiers Comput. Neurosci. 9: 67 (2015) - [j5]Fang Han, Huanran Lu, Han Liu:
A direct estimation of high dimensional stationary vector autoregressions. J. Mach. Learn. Res. 16: 3115-3150 (2015) - [c19]Huitong Qiu, Sheng Xu, Fang Han, Han Liu, Brian Caffo:
Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes. ICML 2015: 1843-1851 - [c18]Yiming Geng, Mengting Li, Qi Shi, Fang Han, Zhijie Wang:
Burst synchronization of inhibitory spiking neuronal networks. ICNC 2015: 129-134 - [c17]Huitong Qiu, Fang Han, Han Liu, Brian Caffo:
Robust Portfolio Optimization. NIPS 2015: 46-54 - 2014
- [j4]Fang Han, Han Liu:
High Dimensional Semiparametric Scale-Invariant Principal Component Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 36(10): 2016-2032 (2014) - [c16]Juemin Yang, Fang Han, Rafael A. Irizarry, Han Liu:
Context Aware Group Nearest Shrunken Centroids in Large-Scale Genomic Studies. AISTATS 2014: 1051-1059 - [c15]Ferrol Aderholdt, Fang Han, Stephen L. Scott, Thomas J. Naughton:
Efficient Checkpointing of Virtual Machines Using Virtual Machine Introspection. CCGRID 2014: 414-423 - 2013
- [j3]Fang Han, Tuo Zhao, Han Liu:
CODA: high dimensional copula discriminant analysis. J. Mach. Learn. Res. 14(1): 629-671 (2013) - [c14]Zhaoran Wang, Fang Han, Han Liu:
Sparse Principal Component Analysis for High Dimensional Multivariate Time Series. AISTATS 2013: 48-56 - [c13]Ruoyuan Qu, Tong Li, Shengwei Xu, Fang Han, Li Zhang, Xinxia Cai, Hua Dang:
Neural Signal Acquisition and Wireless Transmission System Design. DASC 2013: 314-317 - [c12]Fang Han, Han Liu:
Transition Matrix Estimation in High Dimensional Time Series. ICML (2) 2013: 172-180 - [c11]Fang Han, Han Liu:
Principal Component Analysis on non-Gaussian Dependent Data. ICML (1) 2013: 240-248 - [c10]Fang Han, Han Liu:
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model. NIPS 2013: 1941-1949 - 2012
- [c9]Han Liu, Fang Han, Ming Yuan, John D. Lafferty, Larry A. Wasserman:
High Dimensional Semiparametric Gaussian Copula Graphical Models. ICML 2012 - [c8]Benjamin Eckart, Xubin He, Chentao Wu, Ferrol Aderholdt, Fang Han, Stephen L. Scott:
Distributed Virtual Diskless Checkpointing: A Highly Fault Tolerant Scheme for Virtualized Clusters. IPDPS Workshops 2012: 1120-1127 - [c7]Fang Han, Han Liu:
Semiparametric Principal Component Analysis. NIPS 2012: 171-179 - [c6]Fang Han, Han Liu:
Transelliptical Component Analysis. NIPS 2012: 368-376 - [c5]Han Liu, Fang Han, Cun-Hui Zhang:
Transelliptical Graphical Models. NIPS 2012: 809-817 - [i1]Han Liu, Fang Han, Ming Yuan, John D. Lafferty, Larry A. Wasserman:
The Nonparanormal SKEPTIC. CoRR abs/1206.6488 (2012) - 2011
- [j2]Fang Han, Marian Wiercigroch, Jian-An Fang, Zhijie Wang:
Excitement and Synchronization of Small-World Neuronal Networks with Short-Term Synaptic Plasticity. Int. J. Neural Syst. 21(5): 415-425 (2011) - [c4]Bin Zhen, Fang Han:
Bifurcation analysis for two coupled Fitzhugh-Nagumo neurons. ICNC 2011: 450-454 - [c3]Fang Han, Ying Du, Qishao Lu:
Excitement and synchronization of electrically coupled small-world neuronal network with synaptic plasticity. ICNC 2011: 455-458 - [c2]Fang Han, Ying Du, Qishao Lu:
Local and Global Burst Synchronization in a Noisy Small-World Neuronal Network. ISNN (1) 2011: 109-116 - 2010
- [c1]Xin Chen, James Warren, Fang Han, Xubin He:
Characterizing the Dependability of Distributed Storage Systems Using a Two-Layer Hidden Markov Model-Based Approach. NAS 2010: 31-40
2000 – 2009
- 2008
- [j1]Fang Han, Qishao Lu:
An improved chaos optimization algorithm and its application in the economic load dispatch problem. Int. J. Comput. Math. 85(6): 969-982 (2008)
Coauthor Index
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last updated on 2024-08-16 18:31 CEST by the dblp team
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