Learning to Predict Gradients for Semi-Supervised Continual Learning
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, and Qi Zhao. (under review). arXiv preprint arXiv:2201.09196 (2022).
Publications
Learning to Minimize the Remainder in Supervised Learning
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, and Qi Zhao. (in press). IEEE Transactions on Multimedia, Feb. 2022.
Learning to Predict Trustworthiness with Steep Slope Loss
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, and Qi Zhao. In Advances in Neural Information Processing Systems, 2021.
n-Reference Transfer Learning for Saliency Prediction
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, and Qi Zhao. In European Conference on Computer Vision, pp. 502-519. Springer, Cham, 2020.
Direction Concentration Learning: Enhancing Congruency in Machine Learning
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, and Qi Zhao. IEEE Transactions on Pattern Analysis and Machine Intelligence (2019).
G-Softmax: Improving Intraclass Compactness and Interclass Separability of Features
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, and Qi Zhao. IEEE Transactions on Neural Networks and Learning Systems 31, no. 2 (2019): 685-699.
Visual Attention in Multi-Label Image Classification
Yan Luo, Ming Jiang, and Qi Zhao. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 0-0. 2019.
Foveation-Based Mechanisms Alleviate Adversarial Examples
Yan Luo, Xavier Boix, Gemma Roig, Tomaso Poggio, and Qi Zhao. arXiv preprint arXiv:1511.06292 (2015).
Label Consistent Quadratic Surrogate Model for Visual Saliency Prediction
Yan Luo, Yongkang Wong, and Qi Zhao. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5060-5069. 2015.
Multi-Camera Saliency
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, and Qi Zhao. IEEE Transactions on Pattern Analysis and Machine Intelligence (2015).
* Equal authorship