Jin Li
Jin Li
Alibaba Group
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Weakly-and semi-supervised object detection with expectation-maximization algorithm
Z Yan, J Liang, W Pan, J Li, C Zhang
arXiv preprint arXiv:1702.08740, 2017
Image-text surgery: Efficient concept learning in image captioning by generating pseudopairs
K Fu, J Li, J Jin, C Zhang
IEEE transactions on neural networks and learning systems 29 (12), 5910-5921, 2018
Zero-shot learning by generating pseudo feature representations
J Lu, J Li, Z Yan, C Zhang
arXiv preprint arXiv:1703.06389, 2017
Attribute-based synthetic network (abs-net): Learning more from pseudo feature representations
J Lu, J Li, Z Yan, F Mei, C Zhang
Pattern Recognition 80, 129-142, 2018
Optimizing Top- Multiclass SVM via Semismooth Newton Algorithm
D Chu, R Lu, J Li, X Yu, C Zhang, Q Tao
IEEE Transactions on Neural Networks and Learning Systems 29 (12), 6264-6275, 2018
A deep prediction network for understanding advertiser intent and satisfaction
L Guo, R Lu, H Zhang, J Jin, Z Zheng, F Wu, J Li, H Xu, H Li, W Lu, J Xu, ...
Proceedings of the 29th ACM International Conference on Information …, 2020
Truncation-Free Matching System for Display Advertising at Alibaba
J Li, J Liu, S Li, Y Xu, R Cao, Q Li, B Jiang, G Wang, H Zhu, K Gai, X Zhu
arXiv preprint arXiv:2102.09283, 2021
Learning to accelerate heuristic searching for large-scale maximum weighted b-matching problems in online advertising
X Hao, J Jin, J Hao, J Li, W Wang, Y Ma, Z Zheng, H Li, J Xu, K Gai
arXiv preprint arXiv:2005.04355, 2020
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