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Data Sensing and Offloading in Edge Computing Networks: TDMA or NOMA?


Nov 22, 2021
Zezu Liang, Hanbiao Chen, Yuan Liu, Fangjiong Chen

* To appear in IEEE Transactions on Wireless Communications 

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Harmonic Modeling, Data Generation, and Analysis of Power Electronics-Interfaced Residential Loads


Nov 05, 2021
Ankit Singhal, Dexin Wang, Andrew P. Reiman, Yuan Liu, Donald J. Hammerstrom, Soumya Kundu

* Accepted at the IEEE ISGT 2022 Conference 

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You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors


Sep 01, 2021
Haiping Wang, Yuan Liu, Zhen Dong, Wenping Wang, Bisheng Yang

* 18 pages, 14 figures, 11 tables, Project page: https://hpwang-whu.github.io/YOHO/ 

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Improving 3D Object Detection with Channel-wise Transformer


Aug 23, 2021
Hualian Sheng, Sijia Cai, Yuan Liu, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Min-Jian Zhao

* Accepted by ICCV2021 

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AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds


Aug 12, 2021
Runsong Zhu, Yuan Liu, Zhen Dong, Tengping Jiang, Yuan Wang, Wenping Wang, Bisheng Yang

* iccv2021 project page: https://runsong123.github.io/AdaFit/ 

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A Contract Theory based Incentive Mechanism for Federated Learning


Aug 12, 2021
Mengmeng Tian, Yuxin Chen, Yuan Liu, Zehui Xiong, Cyril Leung, Chunyan Miao

* 7 pages, 2 figures, International Workshop on Federated and Transfer Learning for Data Sparsity and Confidentiality in Conjunction with IJCAI 2021 (FTL-IJCAI'21), Best Student Paper Award 

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Neural Rays for Occlusion-aware Image-based Rendering


Jul 28, 2021
Yuan Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, Wenping Wang

* 16 pages and 16 figures 

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NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction


Jun 20, 2021
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, Wenping Wang

* 22 pages, 17 figures 

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Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions


Apr 08, 2021
Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zach Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Greg S. Corrado, Umesh Telang, Yun Liu, Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens

* Under Review, 19 Pages 

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The Blessings of Unlabeled Background in Untrimmed Videos


Mar 31, 2021
Yuan Liu, Jingyuan Chen, Zhenfang Chen, Bing Deng, Jianqiang Huang, Hanwang Zhang

* Accepted by CVPR2021 

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Supervised Transfer Learning at Scale for Medical Imaging


Jan 21, 2021
Basil Mustafa, Aaron Loh, Jan Freyberg, Patricia MacWilliams, Megan Wilson, Scott Mayer McKinney, Marcin Sieniek, Jim Winkens, Yuan Liu, Peggy Bui, Shruthi Prabhakara, Umesh Telang, Alan Karthikesalingam, Neil Houlsby, Vivek Natarajan


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Point2Skeleton: Learning Skeletal Representations from Point Clouds


Dec 01, 2020
Cheng Lin, Changjian Li, Yuan Liu, Nenglun Chen, Yi-King Choi, Wenping Wang

* 14 pages with appendix. Project: https://github.com/clinplayer/Point2Skeleton 

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Learnable Motion Coherence for Correspondence Pruning


Nov 30, 2020
Yuan Liu, Lingjie Liu, Cheng Lin, Zhen Dong, Wenping Wang

* 10 pages, 7 figures, project page: https://liuyuan-pal.github.io/LMCNet/ 

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Object Tracking Using Spatio-Temporal Future Prediction


Oct 15, 2020
Yuan Liu, Ruoteng Li, Robby T. Tan, Yu Cheng, Xiubao Sui

* 12 pages, 11 figures, journal 

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Addressing the Real-world Class Imbalance Problem in Dermatology


Oct 09, 2020
Wei-Hung Weng, Jonathan Deaton, Vivek Natarajan, Gamaleldin F. Elsayed, Yuan Liu

* 11 pages + 3 pages appendix, 8 figures, 6 appendix tables 

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Gated Res2Net for Multivariate Time Series Analysis


Sep 19, 2020
Chao Yang, Mingxing Jiang, Zhongwen Guo, Yuan Liu


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Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains


Jul 29, 2020
Yixiao Lan, Yuan Liu, Boyang Li

* 11 pages,8 figures 

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FedCoin: A Peer-to-Peer Payment System for Federated Learning


Feb 26, 2020
Yuan Liu, Shuai Sun, Zhengpeng Ai, Shuangfeng Zhang, Zelei Liu, Han Yu

* 7 pages, 6 figures,21 references 

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MagnifierNet: Towards Semantic Regularization and Fusion for Person Re-identification


Feb 26, 2020
Yushi Lan, Yuan Liu, Maoqing Tian, Xinchi Zhou, Xuesen Zhang, Shuai Yi, Hongsheng Li


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DermGAN: Synthetic Generation of Clinical Skin Images with Pathology


Nov 20, 2019
Amirata Ghorbani, Vivek Natarajan, David Coz, Yuan Liu

* In full proceedings of NeurIPS ML4H workshop, 2019 

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GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs


Nov 14, 2019
Yuan Liu, Zehong Shen, Zhixuan Lin, Sida Peng, Hujun Bao, Xiaowei Zhou

* Accepted by NeurIPS 2019 

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A deep learning system for differential diagnosis of skin diseases


Sep 11, 2019
Yuan Liu, Ayush Jain, Clara Eng, David H. Way, Kang Lee, Peggy Bui, Kimberly Kanada, Guilherme de Oliveira Marinho, Jessica Gallegos, Sara Gabriele, Vishakha Gupta, Nalini Singh, Vivek Natarajan, Rainer Hofmann-Wellenhof, Greg S. Corrado, Lily H. Peng, Dale R. Webster, Dennis Ai, Susan Huang, Yun Liu, R. Carter Dunn, David Coz


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AI for Earth: Rainforest Conservation by Acoustic Surveillance


Aug 20, 2019
Yuan Liu, Zhongwei Cheng, Jie Liu, Bourhan Yassin, Zhe Nan, Jiebo Luo

* Accepted to KDD2019 Workshop on Data Mining and AI for Conservation 

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WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection


Feb 14, 2019
Binhang Yuan, Chen Wang, Fei Jiang, Mingsheng Long, Philip S. Yu, Yuan Liu


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PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation


Dec 31, 2018
Sida Peng, Yuan Liu, Qixing Huang, Hujun Bao, Xiaowei Zhou

* The first two authors contributed equally to this paper. Project page: https://zju-3dv.github.io/pvnet/ 

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Multi-granularity Generator for Temporal Action Proposal


Nov 28, 2018
Yuan Liu, Lin Ma, Yifeng Zhang, Wei Liu, Shih-Fu Chang


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Thermal Infrared Colorization via Conditional Generative Adversarial Network


Nov 05, 2018
Xiaodong Kuang, Xiubao Sui, Chengwei Liu, Yuan Liu, Qian Chen, Guohua Gu


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VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling


Aug 11, 2018
Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang

* Published by The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18) 

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An Attention-Based Approach for Single Image Super Resolution


Jul 18, 2018
Yuan Liu, Yuancheng Wang, Nan Li, Xu Cheng, Yifeng Zhang, Yongming Huang, Guojun Lu


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