Boosting Mobile Experience Sampling with Social Media. - Konrad Tollmar; Chengcheng Huang (MobileHCI, 2015)

CCLasso: correlation inference for compositional data through Lasso. - Huaying Fang; Chengcheng Huang; Hongyu Zhao 003; Minghua Deng (Bioinform., 2015)

A neuronal network model for context-dependence of pitch change perception. - Chengcheng Huang; Bernhard Englitz; Shihab A. Shamma; John Rinzel (Frontiers Comput. Neurosci., 2015)

A Neuronal Network Model for Pitch Selectivity and Representation. - Chengcheng Huang; John Rinzel (Frontiers Comput. Neurosci., 2016)

Computing Diagonals of Toeplitz Pentadiagonal Matrix Inverses via Matrix Möbius Transformations. - Chengcheng Huang; Wei Peng 010; Housen Li; Lizhi Cheng; Hao Jiang 001 (ICNCC, 2017)

gCoda: Conditional Dependence Network Inference for Compositional Data. - Huaying Fang; Chengcheng Huang; Hongyu Zhao 003; Minghua Deng (J. Comput. Biol., 2017)

High Performance Design for Redis with Fast Event-Driven RDMA RPCs. - Xuecheng Qi; Huiqi Hu; Xing Wei; Chengcheng Huang; Xuan Zhou 001; Aoying Zhou (DASFAA (1), 2020)

A Classification Algorithm for Real Collar Images. - Xiao Qin 005; Chengcheng Huang; Junhua Wu; Changan Yuan 001 (ICIC (1), 2020)

Resource-efficient cyber-physical systems design: A survey. - Zhao Li; Chengcheng Huang; Xiaoxiao Dong; Chongguang Ren (Microprocess. Microsystems, 2020)

Efficient Stride 2 Winograd Convolution Method Using Unified Transformation Matrices on FPGA. - Chengcheng Huang; Xiaoxiao Dong; Zhao Li; Tengteng Song; Zhenguo Liu; Lele Dong (FPT, 2021)

Research and Application of Fine-Grained Image Classification Based on Small Collar Dataset. - Chengcheng Huang; Yuan Jian; Qin Xiao (Frontiers Comput. Neurosci., 2021)

MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification. - Chengcheng Huang; Shiqun Yin; Lei Li; Yaling Zhang (KSEM (3), 2023)

Reversible Data Hiding in Encrypted Images Based on a Multi-Granularity Adaptive Classification Mechanism. - Yaling Zhang; Yicheng Zou; Chao Wang; Chengcheng Huang; Shiqun Yin (KSEM (2), 2023)

Chaotic dynamics in spatially distributed neuronal networks generate population-wide shared variability. - Noga Mosheiff; Bard Ermentrout; Chengcheng Huang (PLoS Comput. Biol., 2023)

Automated customization of large-scale spiking network models to neuronal population activity. - Shenghao Wu; Chengcheng Huang; Adam C. Snyder; Matthew A. Smith 001; Brent Doiron; Byron M. Yu (Nat. Comput. Sci., 2024)

Let My Goldfish Go: A Design Reflection Based on Non-Anthropocentric Perspectives. - Siyu Tian; Yu Hong; Baoying Feng; Chengcheng Huang; Zhiyuan Zhou (Conference on Designing Interactive Systems (Companion Volume), 2025)