杨二昆

个人信息:Personal Information

副教授

性别:男

毕业院校:西安电子科技大学

学历:博士研究生毕业

学位:工学博士学位

在职信息:在岗

所在单位:电子工程学院

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个人简介:Personal Profile

杨二昆副教授,陕西省青年高层次人才计划入选者,华山菁英人才。分别于20132018年从西安电子科技大学获得信息对抗技术专业学士学位和电路与系统专业博士学位2017-2019年在澳大利亚悉尼大学进行博士生联合培养2019-2021年在美国北卡罗莱纳大学教堂山分校做博士后研究2021年回校工作,隶属于邓成教授领导的MIRACLE实验室

主要研究方向为机器学习计算机视觉多媒体信息检索噪声标签学习等已在国际顶级期刊或会议上发表论文二十余篇,含ESI高被引论文一篇,其中以第一作者或通讯作者发表中科院一区及CCF A类会议文章十二篇包括IEEE T-NNLS, IEEE T-IP, IEEE T-MI, IEEE T-CYB, CVPR, NeurIPS, ICCV, AAAI, IJCAI担任IEEE T-PAMI, IEEE T-NNLS, IEEE T-IP等十余种国际顶级期刊审稿人及CVPR, NeurIPS, ICLR, ICCV, KDD, AAAI, IJCAI, MICCAI等十余种国际顶级会议的高级程序委员会委员。获NeurIPS 2021 杰出审稿人奖(top 8%),获西安电子科技大学优秀博士学位论文、陕西省优秀博士学位论文。



部分研究成果

E. Yang, T. Liu, C. Deng, D. Tao, Adversarial Examples for Hamming Space Search, IEEE Trans. Cybern., 50(4): 1473-1484, 2020.

E. Yang, M. Liu, D. Yao, B. Cao, C. Lian, P-T. Yap,  D. Shen, Deep Bayesian Hashing with Center Prior for Multi-modal Neuroimage Retrieval, IEEE Trans. Med. Imag., 2020.

E. Yang, C. Deng, C. Li, W. Liu, J. Li, D. Tao, Shared Predictive Cross-Modal Deep Quantization, IEEE Trans. Neural Netw. Learn. Syst., 29(11): 5292-5303, 2018.

C. Deng, E. Yang, T. Liu, D. Tao, Two-Stream Deep Hashing with Class-Specific Centers for Image Search, IEEE Trans. Neural Netw. Learn. Syst., 31(6): 2189-2201, 2020.

C. Deng, E. Yang, T. Liu, W. Liu, J. Li, D. Tao, Unsupervised Semantic-Preserving Adversarial Hashing for Image Search,  IEEE Trans. Image Process., 28(8): 4032-4044, 2019.

E. Yang, D. Yao, T. Liu, C. Deng, Mutual Quantization for Cross-Modal Search with Noisy Labels, in Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.

E. Yang, T. Liu, C. Deng, W. Liu, D. Tao, DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs, in Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

E. Yang, C. Deng, T. Liu, W. Liu, D. Tao, Semantic Structure-based Unsupervised Deep Hashing, in Proc. Int. Joint Conf. on Artificial Intelligence (IJCAI), 2018.

E. Yang, C. Deng, W. Liu, X. Liu, D. Tao, X. Gao, Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval, in Proc. AAAI Conf. on Artificial Intelligence (AAAI), 2017.

E. Yang, D. Yao, B. Cao, H. Guan, P-T. Yap, D. Shen,  M. Liu, Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search, in Proc. Int. Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020.

E. Yang, L. Wang, D. Steffens, G. Potter, M. Liu. Deep Factor Regression for Computer-Aided Analysis of Major Depressive Disorders with Structural MRI Data. In Proc. International Symposium on Biomedical Imaging (ISBI) 2021.


招生信息:

团队每年招收一定数量的硕士研究生和博士研究生,研究方向为人工智能、多模态信息处理等,团队将会提供全方位的指导,欢迎感兴趣的同学邮件或者微信联系。

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