Yemin Shi

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All published works

Action	Title	Year	Authors
+ PDF Chat	AutoAgents: A Framework for Automatic Agent Generation	2024	Guangyao Chen Siwei Dong Shu Yu Ge Zhang Jaward Sesay Börje F. Karlsson Jie Fu Yemin Shi
+ PDF Chat	VISION2UI: A Real-World Dataset with Layout for Code Generation from UI Designs	2024	Yi Gui Zhen Li Yao Wan Yemin Shi Hongyu Zhang Yi Su Shaoling Dong Xing Zhou Wenbin Jiang
+ PDF Chat	AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation	2024	Jingkun An Yinghao Zhu Zongjian Li Haoran Feng Bohua Chen Yemin Shi Chengwei Pan
+	Chinese Open Instruction Generalist: A Preliminary Release	2023	Ge Zhang Yemin Shi Ruibo Liu Ruibin Yuan Yizhi Li Siwei Dong Yu Shu Zhaoqun Li Zekun Wang Chenghua Lin
+	MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training	2023	Yizhi Li Ruibin Yuan Ge Zhang Yinghao Ma Xingran Chen Hanzhi Yin Chenghua Lin Anton Ragni Emmanouil Benetos N. Gyenge
+	LLaSM: Large Language and Speech Model	2023	Yu Shu Siwei Dong Guangyao Chen Wenhao Huang Ruihua Zhang Daochen Shi Qiqi Xiang Yemin Shi
+	AutoAgents: A Framework for Automatic Agent Generation	2023	Guangyao Chen Siwei Dong Yu Shu Ge Zhang Jaward Sesay Börje F. Karlsson Jie Fu Yemin Shi
+ PDF Chat	Kernel Quantization for Efficient Network Compression	2022	Zhongzhi Yu Yemin Shi
+ PDF Chat	Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation	2021	Jichang Li Guanbin Li Yemin Shi Yizhou Yu
+ PDF Chat	Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation	2021	Jichang Li Guanbin Li Yemin Shi Yizhou Yu
+	Identification of pediatric respiratory diseases using a fine-grained diagnosis system	2021	Gang Yu Zhongzhi Yu Yemin Shi Yingshuo Wang Xiaoqing Liu Zheming Li Yonggen Zhao Fenglei Sun Yizhou Yu Qiang Shu
+	Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation	2021	Jichang Li Guanbin Li Yemin Shi Yizhou Yu
+	Kernel Quantization for Efficient Network Compression	2020	Zhongzhi Yu Yemin Shi Tiejun Huang Yizhou Yu
+ PDF Chat	Learning Open Set Network with Discriminative Reciprocal Points	2020	Guangyao Chen Limeng Qiao Yemin Shi Peixi Peng Jia Li Tiejun Huang Shiliang Pu Yonghong Tian
+ PDF Chat	Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning	2019	Limeng Qiao Yemin Shi Jia Li Yonghong Tian Tiejun Huang Yaowei Wang
+	ODN: Opening the Deep Network for Open-set Action Recognition	2019	Yu Shu Yemin Shi Yaowei Wang Yixiong Zou Qingsheng Yuan Yonghong Tian
+	P-ODN: Prototype based Open Deep Network for Open Set Recognition	2019	Yu Shu Yemin Shi Yaowei Wang Tiejun Huang Yonghong Tian
+	Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning	2019	Limeng Qiao Yemin Shi Jia Li Yaowei Wang Tiejun Huang Yonghong Tian
+	ODN: Opening the Deep Network for Open-set Action Recognition	2019	Yemin Shi Yaowei Wang Yixiong Zou Yuan Qingsheng Yonghong Tian Shu Yu
+ PDF Chat	Deep Transfer Learning for Person Re-Identification	2018	Hao Chen Yaowei Wang Yemin Shi Ke Yan Mengyue Geng Yonghong Tian Tao Xiang
+ PDF Chat	ODN: Opening the Deep Network for Open-Set Action Recognition	2018	Yu Shu Yemin Shi Yaowei Wang Yixiong Zou Qingsheng Yuan Yonghong Tian
+ PDF Chat	Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network	2017	Yemin Shi Yonghong Tian Yaowei Wang Wei Zeng Tiejun Huang
+ PDF Chat	Sequential Deep Trajectory Descriptor for Action Recognition With Three-Stream CNN	2017	Yemin Shi Yonghong Tian Yaowei Wang Tiejun Huang
+	shuttleNet: A biologically-inspired RNN with loop connection and parameter sharing.	2016	Yemin Shi Yonghong Tian Yaowei Wang Tiejun Huang
+	Joint Network based Attention for Action Recognition	2016	Yemin Shi Yonghong Tian Yaowei Wang Tiejun Huang
+	Learning long-term dependencies for action recognition with a biologically-inspired deep network	2016	Yemin Shi Yonghong Tian Yaowei Wang Tiejun Huang

Common Coauthors

Coauthor	Papers Together
Yonghong Tian	13
Yaowei Wang	12
Tiejun Huang	10
Siwei Dong	4
Yizhou Yu	4
Jia Li	3
Guanbin Li	3
Jichang Li	3
Zhongzhi Yu	3
Yixiong Zou	3
Limeng Qiao	3
Ge Zhang	2
Guangyao Chen	2
Wenhao Huang	2
Ruibin Yuan	2
Yu Shu	2
Börje F. Karlsson	2
Qingsheng Yuan	2
Chenghua Lin	2
Ruibo Liu	2
Yizhi Li	2
Yu Shu	2
Jaward Sesay	2
Yinghao Zhu	1
Peixi Peng	1
Yonggen Zhao	1
Wenhao Huang	1
Yi Gui	1
Emmanouil Benetos	1
Shiliang Pu	1
Xiaoqing Liu	1
Ge Zhang	1
Zhen Li	1
Hao Chen	1
Haoran Feng	1
Hongyu Zhang	1
Shu Yu	1
Wei Zeng	1
Jie Fu	1
Jie Fu	1
Jie Fu	1
Yu Shu	1
Ruihua Zhang	1
Zekun Wang	1
Yu Shu	1
Shaoling Dong	1
Jingkun An	1
Yao Wan	1
Wenbin Jiang	1
Ke Yan	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	11
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	10
+	UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild	2012	Khurram Soomro Amir Zamir Mubarak Shah	7
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	7
+	Two-Stream Convolutional Networks for Action Recognition in Videos	2014	Karen Simonyan Andrew Zisserman	6
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Temporal Segment Networks: Towards Good Practices for Deep Action Recognition	2016	Limin Wang Yuanjun Xiong Zhe Wang Yu Qiao Dahua Lin Xiaoou Tang Luc Van Gool	5
+ PDF Chat	Towards Open Set Deep Networks	2016	Abhijit Bendale Terrance E. Boult	4
+ PDF Chat	Action recognition with trajectory-pooled deep-convolutional descriptors	2015	Limin Wang Yu Qiao Xiaoou Tang	4
+ PDF Chat	Long-term recurrent convolutional networks for visual recognition and description	2015	Jeff Donahue Lisa Anne Hendricks Sergio Guadarrama Marcus Rohrbach Subhashini Venugopalan Trevor Darrell Kate Saenko	4
+	Towards Good Practices for Very Deep Two-Stream ConvNets	2015	Limin Wang Yuanjun Xiong Zhe Wang Yu Qiao	4
+ PDF Chat	Sequential Deep Trajectory Descriptor for Action Recognition With Three-Stream CNN	2017	Yemin Shi Yonghong Tian Yaowei Wang Tiejun Huang	4
+ PDF Chat	Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification	2015	Zuxuan Wu Xi Wang Yu‐Gang Jiang Hao Ye Xiangyang Xue	4
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	4
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	4
+ PDF Chat	Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network	2017	Yemin Shi Yonghong Tian Yaowei Wang Wei Zeng Tiejun Huang	3
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+	Unsupervised Domain Adaptation by Backpropagation	2014	Yaroslav Ganin Victor Lempitsky	3
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+ PDF Chat	Towards Open World Recognition	2015	Abhijit Bendale Terrance E. Boult	3
+ PDF Chat	Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks	2015	Lin Sun Kui Jia Dit‐Yan Yeung Bertram E. Shi	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+ PDF Chat	Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice	2016	Xiaojiang Peng Limin Wang Xingxing Wang Yu Qiao	3
+ PDF Chat	Low-Shot Visual Recognition by Shrinking and Hallucinating Features	2017	Bharath Hariharan Ross Girshick	2
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	2
+	A Survey on Metric Learning for Feature Vectors and Structured Data	2013	Aurélien Bellet Amaury Habrard Marc Sebban	2
+	Compressing Deep Convolutional Networks using Vector Quantization	2014	Yunchao Gong Liu Liu Ming–Hsuan Yang Lubomir Bourdev	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Learning Longer Memory in Recurrent Neural Networks	2014	Tomáš Mikolov Armand Joulin Sumit Chopra Michaël Mathieu Marc ' Aurelio Ranzato	2
+	MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation	2019	Chaofan Tao Fengmao Lv Lixin Duan Min Wu	2
+	Two-Stream Convolutional Networks for Action Recognition in Videos	2014	Karen Simonyan Andrew Zisserman	2
+	TADAM: Task dependent adaptive metric for improved few-shot learning	2018	Boris N. Oreshkin Pau Rodríguez Alexandre Lacoste	2
+ PDF Chat	Robust Classification with Convolutional Prototype Learning	2018	Hongming Yang Xu-Yao Zhang Fei Yin Cheng‐Lin Liu	2
+	Semantic Feature Augmentation in Few-shot Learning.	2018	Zitian Chen Yanwei Fu Yinda Zhang Yu–Gang Jiang Xiangyang Xue Leonid Sigal	2
+	Few-Shot Learning with Metric-Agnostic Conditional Embeddings	2018	Nathan Hilliard Lawrence Phillips Scott Howland A. Yankov Courtney D. Corley Nathan O. Hodas	2
+ PDF Chat	LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks	2018	Dongqing Zhang Jiaolong Yang Dongqiangzi Ye Gang Hua	2
+	Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones	1999	J.F. Sturm	2
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	2
+	Few-Shot Learning with Graph Neural Networks	2017	Víctor García Joan Bruna	2
+	Meta-SGD: Learning to Learn Quickly for Few-Shot Learning	2017	Zhenguo Li Fengwei Zhou Fei Chen Hang Li	2
+	Data Augmentation by Pairing Samples for Images Classification	2018	Hiroshi Inoue	2
+ PDF Chat	Video Inpainting by Jointly Learning Temporal Structure and Spatial Details	2019	Chuan Wang Haibin Huang Xiaoguang Han Jue Wang	2
+	Deep Meta-Learning: Learning to Learn in the Concept Space	2018	Fengwei Zhou Bin Wu Zhenguo Li	2
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	2
+	Action Recognition using Visual Attention	2015	Shikhar Sharma Ryan Kiros Ruslan Salakhutdinov	2
+	YouTube-8M: A Large-Scale Video Classification Benchmark	2016	Sami Abu-El-Haija Nisarg Kothari Joonseok Lee Apostol Natsev George Toderici Balakrishnan Varadarajan Sudheendra Vijayanarasimhan	2
+	Exploiting Image-trained CNN Architectures for Unconstrained Video Classification	2015	Shengxin Zha Florian Luisier W.D. Andrews Nitish Srivastava Ruslan Salakhutdinov	2
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	2