论文列表

a)    排名及影响因子出处：科睿唯安(原汤森路透)Journal Citation Reports（JCR）“https://jcr.clarivate.com/JCRLandingPageAction.action“.

b)    通讯作者标注*.

[1]      1.W. Qin, B. Huang, Z. Huang*, L. Tahsin and D. Sun, "Deep Constraints Space via Channel Alignment for Visible-Infrared Person Re-identification," in IEEE Signal Processing Letters, vol. 29, pp. 2672-2676, 2022.

[2]      DAMIN SUN, ZHIYONG HUANG*, ZHUOLI ZHUANG, ZHIYAO MA, LO KAR MAN, DONGHUA LIAO, and HANS GREGERSEN; Fecobionics: A Novel Bionics Device for Studying Defecation; Annals of Biomedical Engineering, Vol. 47, No. 2, February 2019 pp. 576–589;

[3]      Huang Z Y*, Lin S, Long L L, et al. Predicting the Morbidity of Chronic Obstructive Pulmonary Disease Based on Multiple Locally Weighted Linear Regression Model with K-means Clustering[J]. International Journal of Medical Informatics, 2020, 139:104141.

[4]      Yu, Z., Qin, W., Huang, Z*. et al. Joining features by global guidance with bi-relevance trihard loss for person re-identification. Neural Comput & Applic 34, 8697–8712 (2022).

[5]      Wencheng Qin, Baojin Huang, Pinzhong Qin, Zhiyong Huang*, Daidi Zhong. "Learning diverse and deep clues for person reidentification." Image and Vision Computing (2022).

[6]     Huang, Z*., Guan, T., Qin, W. et al. Gaussian-based probability fusion for person re-identification with Taylor angular margin loss. Neural Comput & Applic 34, 20639–20653 (2022).

[7]     Huang, Zy.*, Qin, Wc., Luo, F. et al. Combination of validity aggregation and multi-scale feature for person re-identification. J Ambient Intell Human Comput (2021). https://doi.org/10.1007/s12652-021-03473-6

[8]     Qin, Wc., Huang, Zy*., Guan, Th. et al. Triplet penalty matters: penalty metric space triplet loss for person re-identification. J Ambient Intell Human Comput (2022). https://doi.org/10.1007/s12652-022-04109-z

[9]     Yu, Z., Qin, W., Tahsin, L. Huang, Z*. TriEP: Expansion-Pool TriHard Loss for Person Re-Identification. Neural Process Lett 54, 2413–2432 (2022).

[10]      Yu, Z., Huang, Z.*, Qin, W. et al. Joint uneven channel information network with blend metric loss for person re-identification. Complex Intell. Syst. 8, 4163–4175 (2022)

[11]     Ran S, Huang Z*, Hu S, Yang H. SiC Heterojunction Trench MOSFET with a Buried P-Type Pillar for the Low Gate-Drain Charge and Switching Loss. Micromachines. 2022; 13(2):248.

[12]     Ran, S., Huang, Z*., Hu, S., Yang, H., & Zhou, D.. (2021). A 3d sic mosfet with a poly-silicon/sic heterojunction diode. Chinese Physics B, 31(1), 018504 (6pp).

[13]     Zhiyong Huang*, Yujie Wang, Linling Wang. ISO/IEEE 11073 treadmill interoperability framework and its test method: Design and Implementation; JMIR Medical Informatics. 2020;8(12):e22000

[14]     Zhiyong Huang*, Tianhui Guan, et al. Maximum Efficiency Tracking Design of Wireless Power Transmission System Based on Machine Learning. Energy Reports,2022.

[15]     Yang, Mingyao, Jie Ma, Pin Wang, Zhiyong Huang*, Yongming Li, He Liu, and Zeeshan Hameed. 2021. "Hierarchical Boosting Dual-Stage Feature Reduction Ensemble Model for Parkinson’s Disease Speech Data" Diagnostics 11, no. 12: 2312.

[16]     DAMING SUN, JINGBO ZHAO, DONGHUA LIAO, ZHIYONG HUANG, and HANS GREGERSEN. The Turning Point for Morphomechanical Remodeling During Complete Intestinal Obstruction in Rats Occurs After 12–24 h. Annals of Biomedical Engineering.  Vol. 46   No. 5. pp. 705-716 .2018;

[17]     Zhiyong Huang*, Zhi Yu, Yingsong Li, Yujie Wang, Shuang Lin, Daming Sun, Yuang Zhong, Hailin Cao, and Hans Gregersen ; Contribution-Based Multi-Stream Feature Distance Fusion Method With k-Distribution Re-Ranking for Person Re-Identification; IEEE Access, Vol. 7, 2019, pp:35631-35644.

[18]     Huang Z, Guo B, Shaibu R, et al. Lab-Supported Hypothesis and Mathematical Modeling of Crack Development in the Fluid-Soaking Process of Multi-Fractured Horizontal Wells in Shale Gas Reservoirs[J]. Energies, 2020, 13(5):1035-.

[19]     Kassab, G. S., Gregersen, H., Sun, D., & Huang, Z. (2021). Novel bionics developments in gastroenterology: fecobionics assessment of lower gi tract function. Physiological Measurement, 42(6), 06TR01 (12pp).

主持项目

[1]     科技部国家重点研发计划：运动行为监测与干预关键技术研究，2020YFC2007200，2020年；

[2]     重庆市自然科学基金面上项目：基于多模态信息融合排便障碍综合征诊断模型及关键技术研究：cstc2020jcyj-msxmX0641，2020年；

[3]     XXXX预研：柔性可穿戴人体应激反应装置, 2021年；

[4]     重庆市体育重点科研计划项目：基于多传感器融合运动姿态检测系统研究，A2019021，2019年；

[5]    重庆市技术创新与应用发展专项重点项目：车载智能语音交互系统研发及应用，cstc2019jscx-zdztzxX0051，2019年；

[6]    重庆市技术创新与应用发展专项重点项目：轻型飞机航电系统智能检测综合平台开发及应用，cstc2019jscx-zdztzxX0029， 2019年。

  授权专利

[1]       黄智勇，孙大明.一种基于多模态信息的食道功能性疾病诊断系统，210811014891.0（成果转换）

[2]       黄智勇，虞智，李银松，汪余杰，林爽，孙大明.多流特征距离融合系统与融合方法，201910009037.3（成果转换）

[3]       黄智勇，李银松，虞智，汪余杰，林爽，孙大明.一种基于k邻域分布得分的图像重排序方法，201910009038.8

[4]       黄智勇，汪余杰，林爽，虞智，李银松，孙大明.一种行人重识别系统与方法，201910009061.7

[5]       黄智勇，吴海华，李渊明，虞智. 基于FPGA的Tiny-yolo卷积神经网络硬件加速方法及系统，201810523619.9

[6]       黄智勇，李渊明，吴海华. 用于卷积神经网络硬件加速的数据处理方法，201810523617.X（成果转换）

[7]       黄智勇，仲元红，陈茂建. 基于机器视觉的织物叶片锈斑自动检测系统及方法，201610045839.6（成果转换）

[8]       黄智勇，李杰，刘越，钟成明.基于P2P动态云的恶意软件检测系统及方法，201510730476.5（成果转换）

[9]       黄智勇，曾孝平，陈新龙，周喜川，曾浩，张欣.一种基于行为数据融合的网络安全评分系统和方法，201310049835.1（成果转换）

[10]       黄智勇，张欣，李新科，胡国庆.一种无线传感网络中基于估距的定位方法，201310344275.2（成果转换）

[11]       黄智勇，曾孝平，周建林，仲元红，熊东.一种Email蠕虫检测方法，200910250848.9（成果转换）

获奖及荣誉

[1]       中国人民解放军总后勤部科技进步三等奖：消化心身与胃肠动力障碍性疾病的新型诊疗技术开发与临床应用；2018060620660003-4

[2]       重庆大学科技进步一等奖：远程慢病管理设备互操作国际标准体系研制与推广；2018

[3]       重庆产学研创新成果一等奖：个人互联健康设备互操作；2019CG23