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Chengcheng Huang
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2020 – today
- 2024
- [j8]Shenghao Wu, Chengcheng Huang, Adam C. Snyder, Matthew A. Smith, Brent Doiron, Byron M. Yu:
Automated customization of large-scale spiking network models to neuronal population activity. Nat. Comput. Sci. 4(9): 690-705 (2024) - 2023
- [j7]Noga Mosheiff, Bard Ermentrout, Chengcheng Huang:
Chaotic dynamics in spatially distributed neuronal networks generate population-wide shared variability. PLoS Comput. Biol. 19(1) (2023) - [c7]Chengcheng Huang, Shiqun Yin, Lei Li, Yaling Zhang:
MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification. KSEM (3) 2023: 66-77 - [c6]Yaling Zhang, Yicheng Zou, Chao Wang, Chengcheng Huang, Shiqun Yin:
Reversible Data Hiding in Encrypted Images Based on a Multi-Granularity Adaptive Classification Mechanism. KSEM (2) 2023: 201-213 - 2021
- [j6]Chengcheng Huang, Yuan Jian, Qin Xiao:
Research and Application of Fine-Grained Image Classification Based on Small Collar Dataset. Frontiers Comput. Neurosci. 15: 766284 (2021) - [c5]Chengcheng Huang, Xiaoxiao Dong, Zhao Li, Tengteng Song, Zhenguo Liu, Lele Dong:
Efficient Stride 2 Winograd Convolution Method Using Unified Transformation Matrices on FPGA. FPT 2021: 1-9 - 2020
- [j5]Zhao Li, Chengcheng Huang, Xiaoxiao Dong, Chongguang Ren:
Resource-efficient cyber-physical systems design: A survey. Microprocess. Microsystems 77: 103183 (2020) - [c4]Xuecheng Qi, Huiqi Hu, Xing Wei, Chengcheng Huang, Xuan Zhou, Aoying Zhou:
High Performance Design for Redis with Fast Event-Driven RDMA RPCs. DASFAA (1) 2020: 195-210 - [c3]Xiao Qin, Chengcheng Huang, Junhua Wu, Changan Yuan:
A Classification Algorithm for Real Collar Images. ICIC (1) 2020: 355-366
2010 – 2019
- 2017
- [j4]Huaying Fang, Chengcheng Huang, Hongyu Zhao, Minghua Deng:
gCoda: Conditional Dependence Network Inference for Compositional Data. J. Comput. Biol. 24(7): 699-708 (2017) - [c2]Chengcheng Huang, Wei Peng, Housen Li, Lizhi Cheng, Hao Jiang:
Computing Diagonals of Toeplitz Pentadiagonal Matrix Inverses via Matrix Möbius Transformations. ICNCC 2017: 69-74 - 2016
- [j3]Chengcheng Huang, John Rinzel:
A Neuronal Network Model for Pitch Selectivity and Representation. Frontiers Comput. Neurosci. 10: 57 (2016) - 2015
- [j2]Huaying Fang, Chengcheng Huang, Hongyu Zhao, Minghua Deng:
CCLasso: correlation inference for compositional data through Lasso. Bioinform. 31(19): 3172-3180 (2015) - [j1]Chengcheng Huang, Bernhard Englitz, Shihab A. Shamma, John Rinzel:
A neuronal network model for context-dependence of pitch change perception. Frontiers Comput. Neurosci. 9: 101 (2015) - [c1]Konrad Tollmar, Chengcheng Huang:
Boosting Mobile Experience Sampling with Social Media. MobileHCI 2015: 525-530
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last updated on 2024-10-23 21:21 CEST by the dblp team
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