个人简介
唐明伟,男,教授,博士,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100余篇,其中被SCI/EI检索90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. 网络大数据与智能体检测技术 2. 深度视觉技术及其场景应用 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80余篇,其中被SCI/EI检索80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,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,东南大学唐磊、王海兰、西南交通大学牟思静、王伟、罗淇镭、四川大学谭敏、电子科技大学李华、陈邶涛、罗谭、文涵、邓思洁、王惠敏、罗仟行、宋佳坤、詹雅茹、刘明洁、袁海军、陈茜等和进入全球500强的国家高新技术单位的同学。 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 2025年 [36] Li Zhengyan, Li Linxi, Tang Mingwei(通讯作者). Pmsafe: parallel multi-scale attention fusion encoder for medical image segmentation. Journal of Supercomputing, 2025, 81(8): 960.(SCI检索, 中科院三区, JCR一区,CCF-C) [35] Haowen Xun, Mingwei Tang(通讯作者). Multiple-level Enhanced Graph Convolutional Network for Aspect Sentiment Triplet Extraction. Neurocomputing, 2025, 634:129834. (SCI检索中科院二区, TOP期刊,JCR一区) https://doi.org/10.1016/j.neucom.2025.129834
[34] Zheng Yanqian, Mingwei Tang(通讯作者). Semantic-Enhanced Relation Modeling for Fine-Grained Aspect-based Sentiment Analysis. International Journal of Machine Learning and Cybernetics, 2025.(SCI检索 JCR 二区, 中科院三区) [33] Lin Zhu, Linxi Li, Mingwei Tang(通讯作者), Wenrui Niu,Jianhua Xie, Hongyun Mao. FANet: Feature attention network for semantic segmentation. Signal Processing: Image Communication, 2025, 138: 117330.(SCI检索 JCR 一区, 中科院二区). https://doi.org/10.1016/j.image.2025.117330 [32] Tang Mingwei, Yang Kun, Tao Linping, Zhao Mingfeng, Zhou Wei. Multi-granularity enhanced graph convolutional network for aspect sentiment triplet extraction. BIG DATA RESEARCH, 2025, 39: 100506.(SCI检索 JCR 一区, 中科院三区). [31] Wen Ya, Zong Liansong, Mingwei Tang(通讯作者), Tao Linping, Tang Qi. Perceptive dual-graph semantic integration network for aspect sentiment triplet extraction. KNOWLEDGE AND INFORMATION SYSTEMS, 2025: 1-18.(SCI检索 JCR 二区, 中科院四区).
[30] Zhao Chengfang, Mingwei Tang(通讯作者), Zheng Yanxi, Ran Chaocong. An Adaptive Multimodal Fusion Network Based on Multilinear Gradients for Visual Question Answering. ELECTRONICS, 2025, 14(1): 9.(SCI检索 JCR2区, 中科院三区).
[29] Linxi Li, Mingwei Tang(通讯作者), Jie Hu. Action-Prompt: A Unified Visual Prompt and Fusion Network for Enhanced Video Action Recognition. Knowledge-Based Systems, 2025, 318: 1-26.(SCI检索 JCR 一区, 中科院一区, TOP期刊).
[28] Linxi Li, Mingwei Tang(通讯作者). BiCTM: Transforming Video Action Recognition with Masking and Bidirectional Motion Analysis. IEEE Transactions on Circuits and Systems for Video Technology, 2025: 1-22.
[27] Deng Bian, Mingwei Tang(通讯作者), Miaogui Lin, Haowen Xu, Shixuan Lv Qi Tang. A Refined Methodology for Small Object Detection: Multi-Scale Feature Extraction and Cross-Stage Feature Fusion Network. Digital Signal Processing, 2025, 164: 105297. (SCI检索 JCR 一区, 中科院二区). [26] Tao Cai, Mingwei Tang(通讯作者), Haowen Xu. Knowledge Graph-guided and Dependency Distance Enhanced Multi-Graph Networks for Aspect-based Sentiment Analysis. Applied Soft Computing.(SCI检索 JCR 一区, 中科院一区). [25] Kun Yang, Liansong Zong, Mingwei Tang(通讯作者), Yanxi Zheng, Yujun Chen, Mingfeng Zhao, Zhongyuan Jiang. MPBE: Multi-Perspective Boundary Enhancement Network for Aspect Sentiment Triplet Extraction. Applied Intelligence, 2025(SCI检索 JCR 一区, 中科院二区). 2024年 [24] Miaogui Ling, Mingwei Tang(通讯作者), Deng Bian, Haowen Xu, Shixuan Lv, Qi Tang, Tao Cai. A Dual Graph Neural Networks Model Using Sequence Embedding as Graph Nodes for Vulnerability Detection. Information and Software Technology, 2024: 1-22(SCI检索 JCR 一区, 中科院二区). [23] Haowen Xu, Mingwei Tang(通讯作者), Tao Cai, Jie Hu, Mingfeng Zhao. Dual-enhanced generative model with graph attention network and contrastive learning for aspect sentiment triplet extraction. Knowledge-Based Systems, 2024 (SCI检索 中科院一区, JCR一区, TOP期刊, IF:8.0). [22] Linxi Li, Mingwei Tang(通讯作者), Jianqiao Xiong. Spatio-Temporal Adaptive Convolution and Bidirectional Motion Difference Fusion for 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). [20]. Zhang Zhihao, Tang Mingwei(通讯作者) , Chen Xiaoliang,Lee Yan-Li, Du Yajun. Aspect-Level sentiment analysis based on fusion graph double convolutional neural networks. International Journal of Parallel Emergent and Distributed Systems, 2024, 39(5): 525-541.(SCI检索, 中科院四区). [19]. 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, 2024, 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 2023年 [18]. 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 [17]. Linping Tao, Mingwei Tang(通讯作者), Liansong Zong, Jie Hu, Pengcheng Wang. Graph 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). [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) 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:5.3)https://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类 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 ICCC(EI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 [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 3.天府人才支持计划人选 7.CCF成都委员 8.四川法学会大数据专委会副会长 |