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RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression


May 30, 2022
Yu Gong, Greg Mori, Frederick Tung

* Accepted to ICML 2022 

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GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction


Feb 21, 2022
Sihao Hu, Yi Cao, Yu Gong, Zhao Li, Yazheng Yang, Qingwen Liu, Wengwu Ou, Shouling Ji


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N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores


Dec 15, 2021
Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang

* 11 pages, 12 figures, In Proceedings of the 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA'22), February 27-March 1, 2022, Virtual Event, CA, USA 

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MUSE: Feature Self-Distillation with Mutual Information and Self-Information


Oct 25, 2021
Yu Gong, Ye Yu, Gaurav Mittal, Greg Mori, Mei Chen

* The 32nd British Machine Vision Conference (BMVC 2021) 

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Blind Image Quality Assessment for MRI with A Deep Three-dimensional content-adaptive Hyper-Network


Jul 13, 2021
Kehan Qi, Haoran Li, Chuyu Rong, Yu Gong, Cheng Li, Hairong Zheng, Shanshan Wang

* 11 pages, 3 figures, 2 tables 

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GRN: Generative Rerank Network for Context-wise Recommendation


Apr 07, 2021
Yufei Feng, Binbin Hu, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou

* Better read with arXiv:2102.12057. arXiv admin note: text overlap with arXiv:2102.12057 

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Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data


Feb 25, 2021
Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori

* International Conference on Artificial Intelligence and Statistics (AISTATS) 2021 

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Revisit Recommender System in the Permutation Prospective


Feb 24, 2021
Yufei Feng, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou

* Under the review of the KDD2021 Applied Data Science track 

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Personalized Adaptive Meta Learning for Cold-start User Preference Prediction


Dec 22, 2020
Runsheng Yu, Yu Gong, Xu He, Bo An, Yu Zhu, Qingwen Liu, Wenwu Ou

* Preprint Version 

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