Erkun Yang 杨二昆
PhD Candidate
School of Electronic Engineering, Xidian University
ekyang AT stu DOT xidian DOT edu DOT cn
I am currently a PhD candidate in School of Electronic Engineering, Xidian University, under the supervision of Prof. Cheng Deng, and I am a visiting student in UBTECH Sydney AI Centre, University of Sydney (USYD), under the supervision of Prof. Dacheng Tao and Tongliang Liu from Mar 2017. I received the bachelor degree in Xidian University in July, 2013.
Deep Learning, Similarity Search, and Learn to Hash
2019.02, one paper was accepted to CVPR2019.
2019.02, one paper was accepted to IEEE Trans. on Image Processing.
2018.10, one paper was accepted to IEEE Trans. on Cybernetics.2018.04, one paper was accepted to IJCAI 2018.
Journal Articles
Unsupervised Semantic-Preserving Adversarial Hashing for Image Search
Cheng Deng, Erkun Yang, Tongliang Liu, Wei Liu, Jie Li, Dacheng Tao
IEEE Trans. Image Process., 2019.
Adversarial Examples for Hamming Space Search
Erkun Yang, Tongliang Liu, Cheng Deng, Dacheng Tao
IEEE Trans. Cybern., 2018.
Shared Predictive Cross-Modal Deep Quantization
Erkun Yang, Cheng Deng, Chao Li, Wei Liu, Jie Li, Dacheng Tao
IEEE Trans. Neural Netw. Learn. Syst., 2018.
Exploring hybrid spatio-temporal convolutional networks for human action recognition
Hao Wang, Yanhua Yang, Erkun Yang, Cheng Deng
Multimedia Tools and Applications, 2017
Conference Proceedings
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, and Dacheng Tao
In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2019.
Semantic Structure-based Unsupervised Deep Hashing [code]
Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, and Dacheng Tao
In International Joint Conference on Artificial Intelligence (IJCAI), 2018.
Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval
Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, and Xinbo Gao
In AAAI Conference on Artificial Intelligence (AAAI), 2017.