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LAE : Long-tailed Age Estimation


Oct 25, 2021
Zenghao Bao, Zichang Tan, Yu Zhu, Jun Wan, Xibo Ma, Zhen Lei, Guodong Guo

* The 1st Place in Guess The Age Contest, CAIP2021 (The 19th International Conference on Computer Analysis of Images and Patterns) 

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Channel Estimation for IRS-Assisted Millimeter-Wave MIMO Systems: Sparsity-Inspired Approaches


Jul 24, 2021
Tian Lin, Xianghao Yu, Yu Zhu, Robert Schober


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Signal processing on simplicial complexes


Jun 14, 2021
Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra

* 29 pages; 5 figures. arXiv admin note: text overlap with arXiv:2101.05510 

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An Impossibility Theorem for Node Embedding


May 27, 2021
T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra


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Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling


May 19, 2021
Yu Zhu, Ananthram Swami, Santiago Segarra


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Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning


Feb 19, 2021
Yu Zhu, Boning Li, Santiago Segarra


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Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance


Feb 11, 2021
Rui Li, Xiantuo He, Danna Xue, Shaolin Su, Qing Mao, Yu Zhu, Jinqiu Sun, Yanning Zhang


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Non-uniform Motion Deblurring with Blurry Component Divided Guidance


Jan 15, 2021
Pei Wang, Wei Sun, Qingsen Yan, Axi Niu, Rui Li, Yu Zhu, Jinqiu Sun, Yanning Zhang


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Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond


Jan 14, 2021
Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra

* 38 pages; 7 figures 

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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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Semantic-Guided Representation Enhancement for Self-supervised Monocular Trained Depth Estimation


Dec 15, 2020
Rui Li, Qing Mao, Pei Wang, Xiantuo He, Yu Zhu, Jinqiu Sun, Yanning Zhang


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AIM 2020 Challenge on Learned Image Signal Processing Pipeline


Nov 10, 2020
Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tan, Bingxin Hou

* Published in ECCV 2020 Workshops (Advances in Image Manipulation), https://data.vision.ee.ethz.ch/cvl/aim20/ 

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AIM 2020: Scene Relighting and Illumination Estimation Challenge


Sep 27, 2020
Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P S, Melvin Kuriakose, Jiji C V, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng

* ECCVW 2020. Data and more information on https://github.com/majedelhelou/VIDIT 

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AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results


Sep 15, 2020
Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, JungHeum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Jiangtao Zhang, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Eric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P S, Densen Puthussery, Jiji C V, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Jiangtao Zhang, Xiaotong Luo, Liang Chen, Yanyun Qu, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni


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GINet: Graph Interaction Network for Scene Parsing


Sep 14, 2020
Tianyi Wu, Yu Lu, Yu Zhu, Chuang Zhang, Ming Wu, Zhanyu Ma, Guodong Guo

* Accepted by ECCV 2020 

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SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion


Aug 21, 2019
Boyuan Ma, Xiaojuan Ban, Haiyou Huang, Yu Zhu

* technological report and fix some errors 

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Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU


Jun 24, 2019
Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai

* 9 pages, 6 figures, submitted to CIKM 2019 Applied Research Track 

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Exact-K Recommendation via Maximal Clique Optimization


May 17, 2019
Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu

* SIGKDD 2019 

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Towards 3D Human Shape Recovery Under Clothing


Apr 09, 2019
Xin Chen, Anqi Pang, Yu Zhu, Yuwei Li, Xi Luo, Ge Zhang, Peihao Wang, Yingliang Zhang, Shiying Li, Jingyi Yu

* 10 pages, 8 figures 

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A Brand-level Ranking System with the Customized Attention-GRU Model


Aug 11, 2018
Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai

* International Joint Conferences on Artificial Intelligence, 2018: 3947-3953 
* 7 pages, 6 figures, 3 tables. Published in IJCAI 2018. Make some figures and tables more clear 

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Addressing the Item Cold-start Problem by Attribute-driven Active Learning


May 23, 2018
Yu Zhu, Jinhao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai

* 14 pages, 7 figures, 9 tables. Submitted to TKDE 

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A Novel Co-design Peta-scale Heterogeneous Cluster for Deep Learning Training


May 18, 2018
Xin Chen, Hua Zhou, Yuxiang Gao, Yu Zhu

* 23 pages, 4 figures, 1 table 

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ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition


Oct 15, 2017
Xin Chen, Yu Zhu, Hua Zhou, Liang Diao, Dongyan Wang

* 8 pages, 5 figure, 2 tables 

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Fidelity-Naturalness Evaluation of Single Image Super Resolution


Nov 21, 2015
Xuan Dong, Yu Zhu, Weixin Li, Lingxi Xie, Alex Wong, Alan Yuille


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