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DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction


Mar 11, 2022
Buyun Zhang, Liang Luo, Xi Liu, Jay Li, Zeliang Chen, Weilin Zhang, Xiaohan Wei, Yuchen Hao, Michael Tsang, Wenjun Wang, Yang Liu, Huayu Li, Yasmine Badr, Jongsoo Park, Jiyan Yang, Dheevatsa Mudigere, Ellie Wen


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Learning from Small Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales


Sep 28, 2021
Tao Liu, P. R. Kumar, Xi Liu


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A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation


Aug 17, 2021
Xi Liu, Xiabi Liu, Huiyu Li, Xiaopeng Gong


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Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization


Jun 08, 2021
Bing-Jing Hsieh, Ping-Chun Hsieh, Xi Liu

* 21 pages, 8 figures 

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Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge


Feb 26, 2021
Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Ziheng Wang, Satoshi Kondo, Emanuele Colleoni, Beatrice van Amsterdam, Razeen Hussain, Raabid Hussain, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony Jarc

* Results from SurgVisDom 2020 challenge held at MICCAI 2020 

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Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization


Feb 22, 2021
Jyun-Li Lin, Wei Hung, Shang-Hsuan Yang, Ping-Chun Hsieh, Xi Liu

* 18 pages, 6 figures 

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Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits


Oct 08, 2020
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar


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Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning


Jan 27, 2020
Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen


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ICDAR 2019 Robust Reading Challenge on Reading Chinese Text on Signboard


Dec 20, 2019
Xi Liu, Rui Zhang, Yongsheng Zhou, Qianyi Jiang, Qi Song, Nan Li, Kai Zhou, Lei Wang, Dong Wang, Minghui Liao, Mingkun Yang, Xiang Bai, Baoguang Shi, Dimosthenis Karatzas, Shijian Lu, C. V. Jawahar

* International Conference on Document Analysis and Recognition, 2019 

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Bandit Learning Through Biased Maximum Likelihood Estimation


Jul 23, 2019
Xi Liu, Ping-Chun Hsieh, Anirban Bhattacharya, P. R. Kumar

* 23 pages, 5 figures 

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