Tsinghua-Johns Hopkins Joint Center for Biomedical Engineering Research: Scientific and cultural exchange in undergraduate engineering. - Andrew D. Wisneski; Lixia Huang; Bo Hong; Xiaoqin Wang (EMBC, 2011)

Maximum margin multiple-instance feature weighting. - Jing Chai; Hongtao Chen; Lixia Huang; Fanhua Shang (Pattern Recognit., 2014)

Investigation on acoustic modeling with different phoneme set for continuous Lhasa Tibetan recognition based on DNN method. - Hongcui Wang; Kuntharrgyal Khyuru; Jian Li; Guanyu Li; Jianwu Dang 001; Lixia Huang (APSIPA, 2016)

Extraction of EEG Components Based on Time - Frequency Blind Source Separation. - Xueying Zhang; Wei-Rong Wang; Cheng-Ye Shen; Ying Sun; Lixia Huang (IIH-MSP (2), 2017)

Classification of Improved Cross-Correlation Function to Determine Speaker Location from Microphone Array. - Lixia Huang; Suisui Zhang; Jie Wang; Xueying Zhang (BigDataService, 2019)

Ultrasonic Computerized Tomography Imaging Method With Combinatorial Optimization Algorithm for Concrete Pile Foundation. - Guan Wang; Yao Chen; Qiufeng Li; Chao Lu; Guo Chen; Lixia Huang (IEEE Access, 2019)

A new approach for service migration in cloud-based e-commerce using an optimization algorithm. - Lixia Huang; Karlo Abnoosian (Int. J. Commun. Syst., 2020)

Acoustic emission source localization method for high-speed train bogie. - Xincheng Wei; Yao Chen; Chao Lu; Guo Chen; Lixia Huang; Qiufeng Li (Multim. Tools Appl., 2020)

PSM Imaging Method for Water Immersion Ultrasonic Phased Array Inspection of Diffusion Welding of Titanium Alloy. - Chenxu Yang; Lixia Huang; Dexiu Dong; Jiahui Shen; Haitao Wang; Qiufeng Li (AIAM (ACM), 2021)

Concrete Inspection Signal Pre-processing Method Based On TFM Imaging. - Lulu Ge; Lixia Huang; Zhigang Wang; Haitao Wang; Dexiu Dong; Qiufeng Li (EITCE, 2022)

A 1D-CNN prediction model for stroke classification based on EEG signal. - Teng Wang; Fenglian Li; Xueying Zhang; Lixia Huang; Wenhui Jia (ICCIP, 2022)

Multi-scale long-range interactive and regional attention network for stroke lesion segmentation. - Zelin Wu; Xueying Zhang; Fenglian Li; Suzhe Wang; Lixia Huang (Comput. Electr. Eng., 2022)

Design and Implementation of Virtual Real Fusion Metaverse Scene Based on Deep Learning. - Wenying Zeng; Jianhua Hu; Lixia Huang; Weimei Wu (EITCE, 2023)

W-Net: A boundary-enhanced segmentation network for stroke lesions. - Zelin Wu; Xueying Zhang; Fenglian Li; Suzhe Wang; Lixia Huang; Jiaying Li (Expert Syst. Appl., 2023)

Speech emotion recognition based on optimized deep features of dual-channel complementary spectrogram. - Juan Li; Xueying Zhang; Fenglian Li; Lixia Huang (Inf. Sci., 2023)

Stroke classification based on deep reinforcement learning over stroke screening imbalanced data. - Ting Zuo; Fenglian Li; Xueying Zhang; Fengyun Hu; Lixia Huang; Wenhui Jia (Comput. Electr. Eng., 2024)

Acoustic-articulatory emotion recognition using multiple features and parameter-optimized cascaded deep learning network. - Juan Li; Xueying Zhang; Fenglian Li; Shufei Duan; Lixia Huang (Knowl. Based Syst., 2024)

Enhanced multilayer extreme learning machine for imbalanced dataset: Optimized cost regulation and hierarchical parameter adaptation. - Fenglian Li; Yuyu Zhang; Weili Wang; Lixia Huang; Guijun Chen; Wenhui Jia (Inf. Sci., 2025)

EEG emotion recognition based on dynamic temporal causal graph convolutional network. - Yaru Zhou; Xueying Zhang; Ying Sun; Guijun Chen; Lixia Huang; Haifeng Li (Knowl. Based Syst., 2025)