Combining Classifiers with Particle Swarms. - Liying Yang 001; Zheng Qin (ICNC (2), 2005)

Design of a New Classifier Simulator. - Liying Yang 001; Zheng Qin (Multiple Classifier Systems, 2005)

Combining Classifiers by Particle Swarms with Local Search. - Liying Yang 001 (ICSI (2), 2011)

Geometric Linear Regression and Geometric Relation. - Kaijun Wang; Liying Yang 001 (ICIC (1), 2012)

Analysis of breast cancer subtypes by AP-ISA biclustering. - Liying Yang 001; Yunyan Shen; Xiguo Yuan; Junying Zhang; Jianhua Wei (BMC Bioinform., 2017)

IntSIM: An Integrated Simulator of Next-Generation Sequencing Data. - Xiguo Yuan; Junying Zhang; Liying Yang 001 (IEEE Trans. Biomed. Eng., 2017)

CONDEL: Detecting Copy Number Variation and Genotyping Deletion Zygosity from Single Tumor Samples Using Sequence Data. - Xiguo Yuan; Jun Bai; Junying Zhang; Liying Yang 001; Junbo Duan; Yaoyao Li; Meihong Gao (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Intelligent Feature Selection for EEG Emotion Classification. - Liying Yang 001; Qing Chen; Qingyang Zhang; Si Chao (BIBM, 2021)

A Grouped Dynamic EEG Channel Selection Method for Emotion Recognition. - Liying Yang 001; Si Chao; Qingyang Zhang; Pei Ni; Dunhui Liu (BIBM, 2021)

STIC: Predicting Single Nucleotide Variants and Tumor Purity in Cancer Genome. - Xiguo Yuan; Chao Ma; Haiyong Zhao; Liying Yang 001; Shuzhen Wang; Jianing Xi (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

CNV_IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs from Short-Read Sequencing Data. - Xiguo Yuan; Jiaao Yu; Jianing Xi; Liying Yang 001; Junliang Shang; Zhe Li; Junbo Duan (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Electroencephalogram Emotion Recognition Based on Individual Frontal Asymmetry Hypothesis. - Gang Cao; Liying Yang 001; Pei Ni (BIBM, 2022)

EEG emotion recognition via Identity based Multi-gate Mixture-of-Experts network. - Liying Yang 001; Dunhui Liu; Qingyang Zhang; Si Chao; Pei Ni; Qiang Wang; Haoxuan Sun (BIBM, 2022)

Greedy-mRMR: An emotion recognition algorithm based on EEG using greedy algorithm. - Liying Yang 001; Qingyang Zhang; Si Chao; Dunhui Liu; Xiguo Yuan (BIBM, 2022)

An efficient EEGNet processor design for portable EEG-Based BCIs. - Lichen Feng; Liying Yang 001; Shubin Liu; Chenxi Han; Yueqi Zhang; Zhangming Zhu (Microelectron. J., 2022)

BiCCT: A Compact Convolutional Transformer for EEG Emotion Recognition. - Gang Cao; Liying Yang 001; Chengchuang Tang; Qian Zhang 074; Huanyu He (BIBM, 2023)

LUR: An Online Learning Model for EEG Emotion Recognition. - Gang Cao; Liying Yang 001; Qian Zhang 074; Jianing Xi; Chengchuang Tang; Yang Tian (BIBM, 2023)

MEEG-Transformer: Transformer Network based on Multi-domain EEG for Emotion Recognition. - Haoxuan Sun; Liying Yang 001; Qiang Wang; Dunhui Liu; Pei Ni (BIBM, 2023)

A two-stream channel reconstruction and feature attention network for EEG emotion recognition. - Qiang Wang; Liying Yang 001; Haoxuan Sun; Qian Zhang 074; Chengchuang Tang (BIBM, 2023)

User-independent Emotion Classification based on Domain Adversarial Transfer Learning. - Pei Ni; Liying Yang 001; Dunhui Liu; Si Chao; Gang Cao; Qiang Wang; Haoxuan Sun (CogSci, 2023)

Towards neuromorphic brain-computer interfaces: Model and circuit Co-design of the spiking EEGNet. - Lichen Feng; Hongwei Shan; Zhouhua Fan; Yueqi Zhang; Liying Yang 001; Zhangming Zhu (Microelectron. J., 2023)

A Method for Predicting DNA Motif Length Based On Deep Learning. - Qiang Yu 003; Xiao Zhang; Yana Hu; Shengpin Chen; Liying Yang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Compact seizure detection based on spiking neural network and support vector machine for efficient neuromorphic implementation. - Hongwei Shan; Lichen Feng; Yueqi Zhang; Liying Yang 001; Zhangming Zhu (Biomed. Signal Process. Control., 2023)

An AER-based spiking convolution neural network system for image classification with low latency and high energy efficiency. - Yueqi Zhang; Lichen Feng; Hongwei Shan; Liying Yang 001; Zhangming Zhu (Neurocomputing, 2024)