Chao Li is a PhD Candidate co-supervised by Prof. Wei Liu and Prof. Cheng Deng at Xidian University. Before that, he obtained his B.S. degree from Inner Mongolia University of Science and Technology in 2014. Now, he is a visiting student at the University of Pittsburgh.
Nov. 1, 2018, two papers were accepted by AAAI2019 (~16.2% acceptance rate).
Apr. 16, 2018, one paper was accepted by IJCAI2018 (~21% acceptance rate).
Feb. 20, 2018, one paper was accepted by CVPR2018 (~29% acceptance rate).
C. Deng, Y. Xue, X. Liu, Chao Li, and D. Tao, Active Transfer Learning Network: A Unified Deep Joint Spectral–Spatial Feature Learning Model for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2018.(IF17=4.662)
E. Yang, C. Deng, Chao Li, W. Liu, et al, Shared Predictive Cross-Modal Deep Quantization, IEEE Trans. Neural Netw. Learn. Syst., 2018. (IF17=7.982)
C. Deng, X. Liu, Chao Li, and D. Tao, Active Multi-kernel Domain Adaptation for Hyperspectral Image Classification, Pattern Recognition, 2017. (IF17=3.962)
Chao Li, C. Deng, L. Wang, D. Xie, and X. Liu, Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval, In 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019.
D. Xie, C. Deng, H. Wang, Chao Li, and D. Tao, Semantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification, In 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019.
N. Li, Chao Li, C. Deng, X. Liu, and X. Gao, Deep Joint Semantic-Embedding Hashing, In International Joint Conference on Artificial Intelligence (IJCAI), 2018.
Chao Li, C. Deng, N. Li, W. Liu, X. Gao, and D. Tao, Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval, In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018. arXiv