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Junbo Zhao

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VeniBot: Towards Autonomous Venipuncture with Automatic Puncture Area and Angle Regression from NIR Images


May 27, 2021
Xu Cao, Zijie Chen, Bolin Lai, Yuxuan Wang, Yu Chen, Zhengqing Cao, Zhilin Yang, Nanyang Ye, Junbo Zhao, Xiao-Yun Zhou, Peng Qi

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VeniBot: Towards Autonomous Venipuncture with Semi-supervised Vein Segmentation from Ultrasound Images


May 27, 2021
Yu Chen, Yuxuan Wang, Bolin Lai, Zijie Chen, Xu Cao, Nanyang Ye, Zhongyuan Ren, Junbo Zhao, Xiao-Yun Zhou, Peng Qi

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Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities


Jan 01, 2021
Xuefei Ning, Junbo Zhao, Wenshuo Li, Tianchen Zhao, Huazhong Yang, Yu Wang

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* 9 pages, 8 pages appendices 
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PIANOTREE VAE: Structured Representation Learning for Polyphonic Music


Aug 17, 2020
Ziyu Wang, Yiyi Zhang, Yixiao Zhang, Junyan Jiang, Ruihan Yang, Junbo Zhao, Gus Xia

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* In Proceedings of 21st International Conference on Music Information Retrieval (ISMIR), Montreal, Canada (virtual conference), 2020 
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Model-Free Voltage Regulation of Unbalanced Distribution Network Based on Surrogate Model and Deep Reinforcement Learning


Jun 24, 2020
Di Cao, Junbo Zhao, Weihao Hu, Fei Ding, Qi Huang, Zhe Chen, Frede Blaabjerg

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* 8 pages, 10 figures 
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Distributed Voltage Regulation of Active Distribution System Based on Enhanced Multi-agent Deep Reinforcement Learning


May 31, 2020
Di Cao, Junbo Zhao, Weihao Hu, Fei Ding, Qi Huang, Zhe Chen

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* 8 pages, 10 figures 
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Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach


May 31, 2020
Xingyu Lei, Zhifang Yang, Juan Yu, Junbo Zhao, Qian Gao, Hongxin Yu

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* 9 pages, 8 figures 
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Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs


Sep 03, 2019
Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander Smola, Zheng Zhang

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Prediction Under Uncertainty with Error-Encoding Networks


Nov 30, 2017
Mikael Henaff, Junbo Zhao, Yann LeCun

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Energy-based Generative Adversarial Network


Mar 06, 2017
Junbo Zhao, Michael Mathieu, Yann LeCun

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* Submitted to ICLR 2017 
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Disentangling factors of variation in deep representations using adversarial training


Nov 10, 2016
Michael Mathieu, Junbo Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun

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* Conference paper in NIPS 2016 
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Character-level Convolutional Networks for Text Classification


Apr 04, 2016
Xiang Zhang, Junbo Zhao, Yann LeCun

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* An early version of this work entitled "Text Understanding from Scratch" was posted in Feb 2015 as arXiv:1502.01710. The present paper has considerably more experimental results and a rewritten introduction, Advances in Neural Information Processing Systems 28 (NIPS 2015) 
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Stacked What-Where Auto-encoders


Feb 14, 2016
Junbo Zhao, Michael Mathieu, Ross Goroshin, Yann LeCun

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* Workshop track - ICLR 2016 
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