唐明伟

个人简介

唐明伟,男,教授,博士,硕士生导师。2012年毕业于电子科技大学计算机科学与工程学院,获得“工学博士学位”,第十二批四川省学术和技术带头人后备人选,四川省计算机类教学指导委员会委员等。至今,在国内外重要期刊和国际会议上发表论文80余篇,其中被SCI/EI检索60余篇(含今年被录用的)。到目前为止,主持和主研包含国家“863”基金、国家自然基金、教育部、四川省科技厅基金在内的各类基金20余项,国家发明专利10余项。

工作经历

教育经历

2012.06 毕业于电子科技大学计算机科学与工程学院,获得“工学博士学位”。 2019.07-2019.08 Georgia State University 学术访问

研究方向

1.网络大数据与智能安全检测技术

2.计算机视觉与深度学习技术

3.自然语言处理技术





学术成果

在国内外重要期刊和国际会议上发表论文70余篇,其中被SCI/EI检索60余篇(含今年被录用的)。到目前为止,主持和主研包含国家“863”基金、国家自然基金、教育部、四川省科技厅基金在内的各类基金20余项,国家发明专利10项。


实验室学术范围好,定期进行内部学术讨论和交流,帮助学生尽早完成本科生向研究生的转变,鼓励学生探索前沿和发表科研成果。近年来,多位学生获得国家奖,四川省优秀毕业生等。

近年来有数十位同学进行国内外著名高校继续深造,如报送国防科技大学的赵潇然,浙江大学的朱华威,蒙纳士大学的李祥瑞,和拿到高薪进入腾讯等同学。

实验室欢迎立志从事科学研究和应用开发的本科生,特别是将来打算保研、考研或是海外深造的学生,加入我们的研究团队!

通讯作者发表部分重要期刊论文


2024年

[22] Linxi Li, Mingwei Tang(通讯作者), Jianqiao Xiong.   STAR: Spatio-Temporal Adaptive and Recalibration Module for Enhanced Video Action Recognition. Expert Systems With Applications,2024: 1-18. (SCI检索  中科院一区, JCR一区, TOP期刊, IF:8.5).

[21]. Jianqiao Xiong, Mingwei Tang(通讯作者), Linxi Li, Jie Hu. INA-Net:An Integrated Noise-Adaptive Attention Neural Network for Enhanced Medical Image Segmentation. Expert Systems With Applications,2024. (SCI检索  中科院一区, JCR一区, TOP期刊, IF:8.5). 


2023年

[20]. Yangsheng Xu, Jiaxin Tian, Mingwei Tang(通讯作者), Lingping Tao,  Liuxuan Wang. Document-level relation extraction with  entity mentions deep attention.  Computer Speech & Language, 2024, 84: 101574(SCI检索, JCR 二区,  CCF-C类, IF: 4.3).  https://doi.org/10.1016/j.csl.2023.101574

[19]. Minchao Ban, Jie Zhou, Mingwei Tang(通讯作者), Wei Tang, Fanjie Zhao. Enhanced Multi-Channel Transformer for Aspect-level Sentiment Classification. Mind and Machines, 2023 (SCI检索, 中科院三区, JCR一区).

[18].  Linping Tao, Mingwei Tang(通讯作者), Liansong Zong, Jie Hu, Pengcheng WangGraph Convolutional Inference Enhancement Network for Aspect Sentiment Triplet Extraction.  Computer Speech & Language, 2023: 1-22 (SCI检索  JCR 二区,  CCF-C类, IF: 4.3).

[17].  Mingwei Tang, Wei Tang, Qingchi Gui, Jie Hu, Mingfeng Zhao. A vulnerability detection algorithm based on residual graph attention networks for source code imbalance (RGAN). Expert Systems With Applications, 2023, 238:1622023(SCI检索  中科院一区, JCR一区, TOP期刊, IF:8.5). https://doi.org/10.1016/j.eswa.2023.122216

[16].  Pengcheng Wang , Linping Tao , Mingwei Tang(通讯作者), Liuxuan Wang , Yangsheng Xu.   Incorporating syntax and semantics with dual graph neural networks for aspect-level sentiment analysis. Engineering Applications of Artificial Intelligence, 2023: 1-18 (SCI检索  中科院一区, JCR 一区, TOP期刊CCF-B类, IF: 8.0). 

[15]. Mingwei Tang, Jinglin Tang.   A micro-expression recognition algorithm based on Feature Enhancement and Attention Mechanisms. Virtual Reality, 2023 (SCI检索, 中科院2区, JCR 一区, IF:5.5).

[14]. Pengcheng Wan, Linping T, Mingwei Tang(通讯作者), MingFeng Zhao , Liuxuan Wan, YangSheng Xu , JiaXin Ti, KeZhu Men. A novel adaptive marker segmentation graph convolutional network for aspect-level sentiment analysis. Knowledge-Based Systems, 2023, 270: 110559. (SCI检索, 中科院一区, TOP期刊,JCR一区,  CCF-B类, IF:8.8) wangpengchen.pdf

https://www.sciencedirect.com/science/article/pii/S095070512300309X

[13]. Wei Tang, Mingwei Tang(通讯作者), Minchao Ban, Ziguo Zhao. CSGVD: A deep learning approach combining sequence and graph embedding for source code vulnerability.  Journal of Systems and Software, 2023. (SCI检索中科院二区, JCR一区,  IF:5.3https://www.sciencedirect.com/science/article/pii/S0164121223000183 CCF-B类

[12]. Mingwei Tang, Lin Zhu, Yangsheng Xu, Mingfeng Zhao. Dual-stream reinforcement network for few-shot image segmentation. Digital Signal Processing, 2023,1:1-11. (SCI检索, 中科院二区, TOP期刊, JCR一区)

[11]. Ziguo Zhao, Mingwei Tang(通讯作者), Fanjie Zhao, Zhihao Zhang, Xiaoliang Chen. Incorporating semantics, syntax and knowledge for aspect based sentiment analysis. Applied Intelligence, 2023,1:1-13. (SCI检索中科院二区, JCR二区) 


2022年


[10]. Tang Jingling,Li Linxi, Tang Mingwei(通讯作者), Xie Jianhua. A novel micro-expression recognition algorithm using dual-stream combining optical flow and dynamic image convolutional neural networks. Signal, Image and Video Processing, 2022. (SCI检索中科院四区,JCR三区)

[9]. Zhao Ziguo, Tang Mingwei(通讯作者), Tang Wei, Wang Chunhao , Chen, Xiaoliang. Graph convolutional network with multiple weight mechanisms for aspect-based sentiment analysis. Neurocomputing, 2022, 500:124-134. (SCI检索中科院二区, TOP期刊,JCR一区)

[8]. Cui Jiyuan, Zong Liansong, Xie Jianhua, Tang Mingwei(通讯作者). A novel multi-module integrated intrusion detection system for high-dimensional imbalanced data. Applied Intelligence, 2022,53(1):272-288. (SCI检索中科院二区,TOP期刊,JCR二区)

[7]. Wang Xiaodi, Pan Xiaoge, Yang Tian, Xie Jianhua, Tang Mingwei (通讯作者). Aspect-Based Sentiment Analysis Using Interaction Matrix And Global Attention Neural Network. Computer Journal, 2022. (SCI检索中科院四区,JCR三区) CCF-B类

[6]. Mao Hongyun, Tang Jingling, Zhao Xiaoran, Tang Mingwei(通讯作者), Jiang Zhongyuan. A Driver Drowsiness Detection Scheme Based on 3D Convolutional Neural Networks. International Journal of Pattern Recognition and Artificial Intelligence, 2022. (SCI检索中科院四区,JCR三区)CCF-C


2021年


[5]  Wang Zhen, Tang Mingwei, Deng Jiayu, Wang Yanting, Qian Jiang, Chen Xiaoliang. A new feature selection method for intrusion detection. 2019 IEEE International Conferences on Ubiquitous Computing and Communications and Data Science and Computational Intelligence and Smart Computing, Networking and Services, 2019: 298-304.(EI检索).

[4] Jiayu Deng, Mingwei Tang, Yanting Wang, Zhen Wang. LSB color image embedding steganography based on cyclic chaos.5th IEEE International Conference on Computer and Communications 2019 ICCCEI检索).

[3]. Wang Xiaodi, Tang Mingwei (通讯作者), Yang Tian, Wang Zhen. A novel network with multiple attention mechanisms for aspect-level sentiment analysis. Knowledge-Based Systems, 2021,227:107196-107208. (SCI检索中科院一区, TOP期刊,JCR一区)

[2]. Wang Xiaodi, Chen Xiaoliang, Tang Mingwei, Yang Tian,  Wang  Zhen. Aspect-Level Sentiment Analysis Based on Position Features Using Multilevel Interactive Bidirectional GRU and Attention Mechanism. Discrete Dynamics in Nature and Society, 2020: 1-12.(SCI检索三区)

[1]. Wang Yanting, Tang Mingwei (通讯作者), Wang Zhen. High-capacity adaptive steganography based on LSB and Hamming code. OPTIK, 2020, 213:1-12. (SCI中科院三区,JCR二区)



教学工作

部分国家重要学科竞赛


3. 第二十五届中国机器人及人工智能大赛全国总决赛中荣获人工智能创新赛一等奖 罗仟行、唐杨 、陈荣

2. 2022中国高校计算机大赛-网络技术挑战赛总决赛三等奖 牟思静李唯丹张洁詹雅茹宋佳坤邱雯琪

1. 2021第七届国家“互联网+”大学生创新创业大赛 铜奖 赵潇然、李林熹、张卓宇、徐婉愉、熬芸霜、李旻昊等 


荣誉奖励

1.四川省学术与技术带头人后备人选

2.四川省计算机类教学指导委员会委员

3.教育部学位评审专家

社会兼职

1.四川省科技厅、经信委等十余个省市项目和科技奖评审专家
2.四川省学术与技术带头人后备人选

3.天府人才支持计划人选
4.河北等省科技奖励评审专家库
5.四川省科技青年联合会理事
6.四川省计算机学会常务理事

7.CCF成都委员

8.四川法学会大数据专委会副会长