梁新彦

微信截图_20240125110420.png 梁新彦 硕导

 

研究领域:机器学习、数据挖掘、计算机视觉

电子邮箱:liangxinyan@sxu.edu.cn

个人简介

        博士,讲师,硕士生导师,2022年6月博士毕业于山西大学计算机科学与技术专业,博士期间曾于2017-2018年赴香港大学从事研究助理的工作。2022年8月加入山西大学大数据科学与产业研究院。博士期间师从钱宇华教授从事多模态机器学习方面的研究工作。近年来,以第一作者先后在《IEEE Transactions on Pattern Analysis and Machine Intelligence》、《IEEE Transactions on Evolutionary Computation》、《International Journal of Approximate Reasoning》、《计算机研究与发展》国内外重要学术期刊与会议发表论文多篇。作为主要人员参与多项国家级项目,担任IEEE TEVC、IJAR等多个国际期刊的审稿人。



学生培养:

[1] 傅品翰(2022级硕士生):发表CCF A会议论文1篇(AAAI2024),在投3篇

[2] 姜璋琪(2019级本科生):发表CCF A会议论文1篇(AAAI2024),保研国防科大

教育教学

《高级语言程序设计》、《离散数学》

招生信息

热忱欢迎同学们报考课题组硕士研究生。课题组科研氛围浓厚、软硬件支撑完备,

将根据每位同学实际情况制定对应的培养方案,从理论研究和工程实践两方面不断提升个人科研能力。

我希望您是这样的:1)有兴趣从事学术研究;2)踏实肯干,积极进取,勤动手脑。3)具备良好的编程能力,英语和数学基础。4)对深度学习,多媒体图像处理课题感兴趣。

有兴趣者可以发邮件垂询送至liangxinyan@sxu.edu.cn,也非常欢迎来山西大学大数据科学与产业研究院当面交流。

同时欢迎本科生加入课题组开展基础科研工作。

科学研究

主要研究方向:

1.多模态机器学习,如面向多模态数据的融合、分类、聚类;跨模态检索等关键技术研究

2.关联数据分析,如关联信息驱动的数据增强关键技术研究

3.多模态融合技术驱动的应用,如声纹增强、识别;图像识别、检索、增强等


科研项目

[1] 国家自然科学基金青年项目,特征关联语义下的多模态表征融合机理与方法研究(62306171),2024-01 至 2026-12,30万,主持

[2] 山西省科技厅, 山西省科技重大专项计划“揭榜挂帅”项目课题, 面向复杂电磁大数据的多模态知识挖掘技术, 2023-01 至 2026-01, 140万元, 在研, 主持

[3] 科技部科技创新2030——“新一代人工智能”重大项目,基于多智能体超图的自主决策、学习理论与动态调控策略研究,2022-01-01至2024-12-31,参与

发表论文:

会议

[1] Xinyan Liang, Pinhan Fu, Qian Guo, Keyin Zheng, Yuhua Qian. DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification. Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), 2024,38(12):13754-13762. Vancouver, Canada, Feb. 20-27, 2024 (CCF A类会议)

[2] Zhangqi Jiang, Tingjin Luo, Xinyan Liang. Deep Incomplete Multi-View Learning Network with Insufficient Label Information. Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), 2024,38(11): 12919-12927. Vancouver, Canada, Feb. 20-27, 2024 (CCF A类会议)

[3] Pinhan Fu, Xinyan Liang, Tingjin Luo, Qian Guo, Yayu Zhang, Yuhua Qian. Core-Structures-Guided Multi-Modal Classification Neural Architecture Search, The 33rd International Joint Conference on Artificial Intelligence (IJCAI-24共同一作) .

[4] Chenglong Zhang, Yang Fang, Xinyan Liang, Han Zhang, Peng Zhou, Xingyu Wu, Jie Yang, Bingbing Jiang, Weiguo Sheng. Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference. The 33rd International Joint Conference on Artificial Intelligence (IJCAI-24).



期刊

[1] Xinyan Liang, Yuhua Qian, Qian Guo, Honghong Cheng, Jiye Liang. AF: An association-based fusion method for multi-modal classification. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI) , 2022,44(12): 9236-9254. (CCF-A 类, SCI-1区)

[2] Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, Qingfu Zhang. Evolutionary deep fusion method and its application in chemical structure recognition. IEEE Transactions on Evolutionary Computation (IEEE TEVC) , 2021,25(5):883-893. (CCF-B 类, SCI-1区)

[3] Xinyan Liang, Yuhua Qian, Qian Guo, Keyin Zheng. A Data Representation Method Using Distance Correlation. Frontiers of Computer Science, 2025,19(1):191303. CCF-B 类)

[4] Yayu Zhang, Yuhua Qian, Guoshuai Ma, Xinyan Liang, Guoqing Liu, Qingfu Zhang, Ke Tang. ESSR: Evolving sparse sharing representation for multi-task learning. IEEE Transactions on Evolutionary Computation (IEEE TEVC) , 2023,XX(X):XXX-XXX. (CCF-B 类, SCI-1区)Accepted.

[5] Yuhua Qian, Xinyan Liang, Qi Wang, Jiye Liang, Bing Liu, Andrzej Skowron, Yiyu Yao, Jianmin Ma, Chuangyin Dang. Local rough set: A solution to rough data analysis in big data. International Journal of Approximate Reasoning (IJAR) , 2018,97:38-63.(CCF-B 类, SCI-2区,共同一作)

[6] Yuhua Qian, Xinyan Liang, Guoping Lin, Qian Guo, Jiye Liang. Local multigranulation decision-theoretic rough sets. International Journal of Approximate Reasoning(IJAR), 2017,82:119-137. (CCF-B 类, SCI-2区)

[7] Qi Wang, Yuhua Qian, Xinyan Liang, Qian Guo, Jiye Liang. Local neighborhood rough set. Knowledge-Based Systems(KBS), 2018,153:53-64. (CCF-C 类, SCI-1区)

[8] Qian Guo, Yuhua Qian, Xinyan Liang. GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy. International Journal of Approximate Reasoning(IJAR), 2022,143:78-101. (CCF-B 类, SCI-2区)

[9] Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang. Logic could be learned from images. International Journal of Machine Learning and Cybernetics(JMLC), 2021,12:3397–3414. (SCI-2区)

[10] Qian Guo, Yuhua Qian, Xinyan Liang, Junyu Chen, Honghong Cheng. Multi-granulation multi-scale relation network for abstract reasoning. International Journal of Machine Learning and Cybernetics(JMLC), 2022,13:1751–1762. (SCI-2区)

[11] Yan Chen, Qian Guo, Xinyan Liang, Jiang Wang, Yuhua Qian. Environmental sound classification with dilated convolutions. Applied Acoustics, 2019,148:123-132.(SCI-2区)

[12] Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Xinyan Liang, Hongjun Wang. Auto-attention Mechanism for Multi-view Deep Embedding Clustering. Pattern Recognition (PR), 2023(143):109764.

[13] Qian Liu, Xia Zhang, Xinyan Liang, Yuhua Qian, Shanshan Yao,AWLloss: Speaker Verification Based on the Quality and Difficulty of Speech. IEEE Signal Processing Letters (SPL),2023(30):1337-1341.

[14] 梁新彦, 钱宇华, 郭倩, 黄琴. 多粒度融合驱动的超多视图分类方法. 计算机研究与发展, 2022, 59(8):1653-1667. (CCF-A 类)

[15] 张璐,曹峰,梁新彦, 钱宇华. 基于关联特征传播的跨模态检索. 计算机研究与发展, 2022, 59(9):1993-2002. (CCF-A 类)


专利:

[1] 梁新彦,郭倩,钱宇华,朱哲清,彭甫镕. 一种基于演化计算多视图融合的分子结构图检索方法. 国家发明专利,授权号:ZL202010666319.3,授权时间:2022.5.31

[2] 郭倩,钱宇华,梁新彦. 一种基于逻辑学习的多图检索方法. 国家发明专利,授权号:ZL202110337481.5,授权时间:2022.11.11


社会服务:

期刊审稿人: IEEE TNNLS,IEEE TAI,IEEE TEVC, IJAR.

会议审稿人:AAAI PC.