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Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction

Sep 21, 2020
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Jian Xu, Xiao Xiang Zhu

* IEEE Transactions on Cybernetics, 2020 

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Learning to Infer User Hidden States for Online Sequential Advertising

Sep 03, 2020
Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai

* to be published in CIKM 2020 

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A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction

Aug 20, 2020
Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai


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Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network

Aug 20, 2020
Eric Z. Chen, Xiao Chen, Jingyuan Lyu, Yuan Zheng, Terrence Chen, Jian Xu, Shanhui Sun

* Presented at ISMRM 2020 as the digital poster 

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GmFace: A Mathematical Model for Face Image Representation Using Multi-Gaussian

Aug 03, 2020
Liping Zhang, Weijun Li, Lina Yu, Xiaoli Dong, Linjun Sun, Xin Ning, Jian Xu, Hong Qin

* 12 pages, 12 figures, 4 tables 

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Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

Jun 29, 2020
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai

* accepted by ICML 2020 

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Learning Optimal Tree Models Under Beam Search

Jun 27, 2020
Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai

* To appear in the 37th International Conference on Machine Learning (ICML 2020) 

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Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising

May 12, 2020
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai

* accepted by IJCAI 2020 

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Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds

Aug 19, 2019
Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai

* accepted by CIKM2019 

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Joint Optimization of Tree-based Index and Deep Model for Recommender Systems

Feb 19, 2019
Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai


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Weakly Supervised Soft-detection-based Aggregation Method for Image Retrieval

Nov 27, 2018
Jian Xu, Chunheng Wang, Cunzhao Shi, Baihua Xiao

* 10 pages, 6 figures 

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Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising

Oct 23, 2018
Di Wu, Xiujun Chen, Xun Yang, Hao Wang, Qing Tan, Xiaoxun Zhang, Jian Xu, Kun Gai

* In The 27th ACM International Conference on Information and Knowledge Management (CIKM 18), October 22-26, 2018, Torino, Italy. ACM, New York, NY, USA, 9 pages 

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A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising

Sep 10, 2018
Di Wu, Cheng Chen, Xun Yang, Xiujun Chen, Qing Tan, Jian Xu, Kun Gai


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Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning

Sep 10, 2018
Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Yixi Wang, Han Li, Jian Xu, Kun Gai

* 10 pages, 8 figures 

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Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification

Aug 15, 2018
Danfeng Hong, Naoto Yokoya, Jian Xu, Xiaoxiang Zhu

* accepted in ECCV 2018 

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Excavate Condition-invariant Space by Intrinsic Encoder

Jun 29, 2018
Jian Xu

* 10 pages, 4 figures 

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Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising

Jun 09, 2018
Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, Quan Lu


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Locally Adaptive Learning Loss for Semantic Image Segmentation

Apr 16, 2018
Jinjiang Guo, Pengyuan Ren, Aiguo Gu, Jian Xu, Weixin Wu

* 8 pages, 4 figures 

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Unsupervised Semantic-based Aggregation of Deep Convolutional Features

Apr 03, 2018
Jian Xu, Chunheng Wang, Chengzuo Qi, Cunzhao Shi, Baihua Xiao

* 10 pages. arXiv admin note: text overlap with arXiv:1705.01247 

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Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image Retrieval

Apr 03, 2018
Jian Xu, Chunheng Wang, Chengzuo Qi, Cunzhao Shi, Baihua Xiao

* 12 pages, 5 figures 

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A Bio-inspired Redundant Sensing Architecture

Feb 15, 2018
Anh Tuan Nguyen, Jian Xu, Zhi Yang

* (2016) A Bio-inspired Redundant Sensing Architecture. Advances in Neural Information Processing Systems (NIPS), Dec. 2016 

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Advancing System Performance with Redundancy: From Biological to Artificial Designs

Feb 14, 2018
Anh Tuan Nguyen, Jian Xu, Diu Khue Luu, Qi Zhao, Zhi Yang


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Unsupervised Part-based Weighting Aggregation of Deep Convolutional Features for Image Retrieval

Nov 29, 2017
Jian Xu, Cunzhao Shi, Chengzuo Qi, Chunheng Wang, Baihua Xiao

* 8 pages, 4 figures. Accepted by AAAI2018 

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Lift-Based Bidding in Ad Selection

Feb 13, 2016
Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-chih Lee, Hang Qi, Quan Lu

* AAAI 2016 

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Smart Pacing for Effective Online Ad Campaign Optimization

Jun 18, 2015
Jian Xu, Kuang-chih Lee, Wentong Li, Hang Qi, Quan Lu

* KDD'15, August 10-13, 2015, Sydney, NSW, Australia 

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