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Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization


Oct 16, 2022
Jonathan Wilton, Abigail M. Y. Koay, Ryan K. L. Ko, Miao Xu, Nan Ye

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* Accepted at NeurIPS 2022 

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Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer


Aug 13, 2022
Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, Ting Wang

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A Boosting Algorithm for Positive-Unlabeled Learning


May 19, 2022
Yawen Zhao, Mingzhe Zhang, Chenhao Zhang, Tony Chen, Nan Ye, Miao Xu

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* 34 pages, 16 figures 

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Single-Image 3D Face Reconstruction under Perspective Projection


May 09, 2022
Yueying Kao, Bowen Pan, Miao Xu, Jiangjing Lyu, Xiangyu Zhu, Yuanzhang Chang, Xiaobo Li, Zhen Lei, Zixiong Qin

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Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent


Dec 17, 2021
Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song

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Active Refinement for Multi-Label Learning: A Pseudo-Label Approach


Sep 29, 2021
Cheng-Yu Hsieh, Wei-I Lin, Miao Xu, Gang Niu, Hsuan-Tien Lin, Masashi Sugiyama

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* A preliminary version appeared in the Workshop on Learning from Limited Labeled Data @ ICLR 2019 

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A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising


Jun 11, 2021
Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu

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* 10 pages 

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On the Robustness of Average Losses for Partial-Label Learning


Jun 11, 2021
Jiaqi Lv, Lei Feng, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama

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Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising


Jan 08, 2021
Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai

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* To appear in the Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM), 2021 

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