2022级博士刘家欢

作者:高分子材料成形研究室 时间:2022-07-22 点击数:

基本信息

邮箱:740988959@qq.com

教育与研究经历

2012.09-2016.06 :华中科技大学      材料成型及控制工程      工学学士

2016.09-2022.06:华中科技大学      材料加工工程      博士学位

研究方向

注塑件外观缺陷智能检测技术

代表性成果

[1] Jiahuan Liu, Fei Guo, Huang Gao, Zhigao Huang, Yun Zhang, Huamin Zhou. Image classification method on class imbalance datasets using multi-scale CNN and twostage transfer learning[J]. Neural Computing and Applications, 2021, 33(21): 14179- 14197. (SCI 源刊;IF:5.606;署名单位:华中科技大学) 

[2] Jiahuan Liu, Fei Guo, Huang Gao, Maoyuan Li, Yun Zhang, Huamin Zhou. Defect detection of injection molding products on small datasets using transfer learning[J]. Journal of Manufacturing Processes, 2021, 70: 400-413. (SCI 源刊;IF:5.010;署名单位:华中科技大学)

[3] Jiahuan Liu, Fei Guo, Yun Zhang, Binkui Hou, Huamin Zhou. Defect classification on limited labeled samples with multiscale feature fusion and semi-supervised learning[J]. Applied Intelligence, 2021: 1-16. (SCI 源刊;IF:5.086;署名单位:华中科技大学) 

[4] Fei Guo, Jiahuan Liu, Maoyuan Li, Tianlun Huang, Yun Zhang, Dequn Li, Huamin Zhou, et al. A Concise TSK Fuzzy Ensemble Classifier Integrating Dropout and Bagging for High-dimensional Problems[J]. IEEE Transactions on Fuzzy Systems, 2021. 

[5] Fei Guo, Jiahuan Liu, Xiaowei Zhou, Hui Wang, Yun Zhang, Dequn Li, Huamin Zhou. An effective retrieval method for 3D models in plastic injection molding for process reuse[J]. Applied Soft Computing, 2021, 101: 107034. 

[6] Maoyuan Li, Jiahuan Liu, Wenjie Yu, Yun Zhang, Huamin Zhou. Atomistic molecular dynamic simulations of the thermal transport across h-BN/cellulose nanocrystal interface[J]. International Journal of Heat and Mass Transfer, 2021, 171: 121043.

[7] Fei Guo, Xiaowei Zhou, Jiahuan Liu, Yun Zhang, Dequn Li, Huamin Zhou. A reinforcement learning decision model for online process parameters optimization from offline data in injection molding[J]. Applied Soft Computing, 2019, 85: 105828. 

[8] Ke Duan, Yonglyu He, Yijun Li, Jiahuan Liu, Junjie Zhang, Yujin Hu, Rongming Lin, Xuelin Wang, Weiming Deng, Li Li. Machine-learning assisted coarse-grained model for epoxies over wide ranges of temperatures and cross-linking degrees[J]. Materials & Design, 2019, 183: 108130. 

[9] 张云,刘家欢,黄志高,周华民,李德群. 一种基于在位检测的闭环控制精密加 工方法及系统[P]. 中国,发明专利, ZL201910646784.8

荣誉奖励

2016-2017“优秀研究生干部”

Copyright © 2019 华中科技大学高分子材料成形研究室  联系电话:+86-27-87543492


Copyright © 2019 华中科技大学高分子材料成形研究室  联系电话:+86-27-87543492