杨二昆，副教授，省级青年人才。分别于2013年、2018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OPTIC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四十余篇，担任IEEET-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，担任DSM期刊青年编委。获NeurIPS 2021 杰出审稿人（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，获首届小米青年学者，入选陕西省科协青年人才托举、第九届中国科协青年人才托举，入选陕西省高层次青年人才，获陕西省自然科学奖一等奖（第二完成人）。

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。

邮箱：yangerkun@xidian.edu.cn