Speaker adaptation of stochastic segment models using Maximum Likelihood Linear Regression. - Hao Chao; Wenju Liu (ISCSLP, 2010)

Response Probability Based Decoding Algorithm for Large Vocabulary Continuous Speech Recognition. - Zhanlei Yang; Hao Chao; Wenju Liu (INTERSPEECH, 2011)

Improved tone modeling by exploiting articulatory features for mandarin speech recognition. - Hao Chao; Zhanlei Yang; Wenju Liu (ICASSP, 2012)

An improved steady segment based decoding algorithm by using response probability for LVCSR. - Zhanlei Yang; Wenju Liu; Hao Chao (ISCSLP, 2012)

Autonomous evolution of service system in cluster supply chain. - Xue Xiao 001; Shufang Wang; Hao Chao (Kybernetes, 2015)

Landmark-Guided Segmental Speech Decoding for Continuous Mandarin Speech Recognition. - Hao Chao; Cheng Song (J. Inf. Process. Syst., 2016)

Effective Task Scheduling in Cloud Computing Based on Improved Social Learning Optimization Algorithm. - Zhi-Zhong Liu; Jingxuan Qin; Wei-Ping Peng; Hao Chao (Int. J. Online Eng., 2017)

A Mixed Co-clustering Algorithm Based on Information Bottleneck. - Yongli Liu; Tianyi Duan; Xing Wan; Hao Chao (J. Inf. Process. Syst., 2017)

Recognition of Emotions Using Multichannel EEG Data and DBN-GC-Based Ensemble Deep Learning Framework. - Hao Chao; Hui-Lai Zhi; Liang Dong 002; Yongli Liu (Comput. Intell. Neurosci., 2018)

Two-stage Vocal Effort Detection Based on Spectral Information Entropy for Robust Speech Recognition. - Hao Chao; Liang Dong 002; Yongli Liu (J. Inf. Hiding Multim. Signal Process., 2018)

Vocal Effort Detection Based on Spectral Information Entropy Feature and Model Fusion. - Hao Chao; Bao-Yun Lu; Yongli Liu; Hui-Lai Zhi (J. Inf. Process. Syst., 2018)

A Validity Index for Fuzzy Clustering Based on Bipartite Modularity. - Yongli Liu; Xiaoyang Zhang; Jingli Chen; Hao Chao (J. Electr. Comput. Eng., 2019)

Feature Extraction based on DBN-SVM for Tone Recognition. - Hao Chao; Cheng Song; Bao-Yun Lu; Yongli Liu (J. Inf. Process. Syst., 2019)

Incremental fuzzy clustering based on a fuzzy scatter matrix. - Yongli Liu; Hengda Wang; Tianyi Duan; Jingli Chen; Hao Chao (J. Inf. Process. Syst., 2019)

Emotion Recognition from Multiband EEG Signals Using CapsNet. - Hao Chao; Liang Dong 002; Yongli Liu; Bao-Yun Lu (Sensors, 2019)

Emotion Recognition From Multi-Channel EEG Signals by Exploiting the Deep Belief-Conditional Random Field Framework. - Hao Chao; Yongli Liu (IEEE Access, 2020)

Improved Deep Feature Learning by Synchronization Measurements for Multi-Channel EEG Emotion Recognition. - Hao Chao; Liang Dong 002; Yongli Liu; Bao-Yun Lu (Complex., 2020)

A Feature Weighted Fuzzy Clustering Algorithm Based on Multistrategy Grey Wolf Optimization. - Yongli Liu; Zhonghui Wang; Hao Chao (J. Electr. Comput. Eng., 2021)

Incremental Fuzzy Clustering Based on Feature Reduction. - Yongli Liu; Yajun Zhang; Hao Chao (J. Electr. Comput. Eng., 2022)

EEG Emotion Recognition based on Multi scale Self Attention Convolutional Networks. - Hao Chao; Fang Yuan (EAI Endorsed Trans. e Learn., 2023)

Density peak clustering based on improved dung beetle optimization and mahalanobis metric. - Hang Zhang; Yongli Liu; Hao Chao (J. Intell. Fuzzy Syst., 2023)

An enhanced multimodal multi-objective genetic algorithm with a novel adaptive crossover mechanism for feature selection. - Mengting Ji; Yongli Liu; Hao Chao (J. Intell. Fuzzy Syst., 2023)

A Density Peak Clustering Algorithm Based on Information Bottleneck. - Yongli Liu; Congcong Zhao; Hao Chao (J. Inf. Process. Syst., 2023)

EEG Emotion Recognition Based on Self-Distillation Convolutional Graph Attention Network. - Hao Chao; Shuqi Feng (EAI Endorsed Trans. e Learn., 2024)