Yifei Shen

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All published works

Action	Title	Year	Authors
+ PDF Chat	Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning	2024	Siwei Li Yifan Yang Yifei Shen Fangyun Wei Zongqing Lu Lili Qiu Yuqing Yang
+ PDF Chat	Understanding Training-free Diffusion Guidance: Mechanisms and Limitations	2024	Yifei Shen Xinyang Jiang Yezhen Wang Yifan Yang Dongqi Han Dongsheng Li
+ PDF Chat	Learning Domain Invariant Prompt for Vision-Language Models	2024	Cairong Zhao Yubin Wang Xinyang Jiang Yifei Shen Kaitao Song Dongsheng Li Duoqian Miao
+	An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation	2023	Wentao Yu Yifei Shen Hengtao He Xianghao Yu Shenghui Song Jun Zhang Khaled B. Letaief
+	Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models	2023	Ruibin Li Qihua Zhou Song Guo Jie Zhang Jingcai Guo Xinyang Jiang Yifei Shen Zhenhua Han
+	ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation	2023	Yasheng Sun Y. F. Yang Houwen Peng Yifei Shen Yuqing Yang Hu Han Lili Qiu Hideki Koike
+	Label Propagation for Graph Label Noise	2023	Yao Cheng Caihua Shan Yifei Shen Xiang Li Siqiang Luo Dongsheng Li
+ PDF Chat	Graph Neural Networks for Wireless Communications: From Theory to Practice	2022	Yifei Shen Jun Zhang Shenghui Song Khaled B. Letaief
+ PDF Chat	Neural Piecewise-Constant Delay Differential Equations	2022	Qunxi Zhu Yifei Shen Dongsheng Li Wei Lin
+	Sparse Mixture-of-Experts are Domain Generalizable Learners	2022	Bo Li Yifei Shen Jingkang Yang Yezhen Wang Jiawei Ren Tong Che Jun Zhang Ziwei Liu
+	Neural Piecewise-Constant Delay Differential Equations	2022	Qunxi Zhu Yifei Shen Dongsheng Li Wei Lin
+	Learning Domain Invariant Prompt for Vision-Language Models	2022	Cairong Zhao Yubin Wang Xinyang Jiang Yifei Shen Kaitao Song Dongsheng Li Duoqian Miao
+	Recognizing Vector Graphics without Rasterization.	2021	Xinyang Jiang Lu Liu Caihua Shan Yifei Shen Xuanyi Dong Dongsheng Li
+ PDF Chat	Recognizing Vector Graphics without Rasterization	2021	Xinyang Jiang Lu Liu Caihua Shan Yifei Shen Xuanyi Dong Dongsheng Li
+ PDF Chat	How Powerful is Graph Convolution for Recommendation?	2021	Yifei Shen Yongji Wu Yao Zhang Caihua Shan Jun Zhang B. Khaled Letaief Dongsheng Li
+ PDF Chat	AI Empowered Resource Management for Future Wireless Networks	2021	Yifei Shen Jun Zhang Shenghui Song Khaled B. Letaief
+	Recognizing Vector Graphics without Rasterization	2021	Xinyang Jiang Lu Liu Caihua Shan Yifei Shen Xuanyi Dong Dongsheng Li
+	Complete Dictionary Learning via $\ell_p$-norm Maximization	2020	Yifei Shen Ye Xue Jun Zhang Khaled B. Letaief Vincent K. N. Lau

Common Coauthors

Coauthor	Papers Together
Xinyang Jiang	7
Dongsheng Li	5
Khaled B. Letaief	4
Xuanyi Dong	3
Dongsheng Li	3
Shenghui Song	3
Caihua Shan	3
Yuqing Yang	2
Kaitao Song	2
Qunxi Zhu	2
Lu Liu	2
Cairong Zhao	2
Caihua Shan	2
Yubin Wang	2
Jun Zhang	2
Duoqian Miao	2
Jingkang Yang	1
Siqiang Luo	1
Ye Xue	1
Ruibin Li	1
Houwen Peng	1
Yasheng Sun	1
Zongqing Lu	1
Fangyun Wei	1
Hu Han	1
Wei Lin	1
Bo Li	1
Jun Zhang	1
Ziwei Liu	1
Jun Zhang	1
Jun Zhang	1
Jun Zhang	1
Jie Zhang	1
Dongsheng Li	1
Yao Zhang	1
Qihua Zhou	1
Y. F. Yang	1
Dongsheng Li	1
Siwei Li	1
Lu Liu	1
Dongqi Han	1
Jiawei Ren	1
Wentao Yu	1
Zhenhua Han	1
Yifan Yang	1
Yifan Yang	1
Yezhen Wang	1
Tong Che	1
Yao Cheng	1
Lili Qiu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Model-Driven Deep Learning for Physical Layer Communications	2019	Hengtao He Shi Jin Chao-Kai Wen Feifei Gao Geoffrey Ye Li Zongben Xu	3
+ PDF Chat	Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications	2021	Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu	2
+ PDF Chat	Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems	2018	Hengtao He Chao-Kai Wen Shi Jin Geoffrey Ye Li	2
+	Learning to Optimize: Training Deep Neural Networks for Interference Management	2018	Haoran Sun Xiangyi Chen Qingjiang Shi Mingyi Hong Xiao Fu Nicholas D. Sidiropoulos	2
+ PDF Chat	Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis	2020	Yifei Shen Yuanming Shi Jun Zhang Khaled B. Letaief	2
+ PDF Chat	Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO	2021	Foad Sohrabi Kareem M. Attiah Wei Yu	2
+	Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks	2019	Sanjeev Arora Simon S. Du Wei Hu Zhiyuan Li Ruosong Wang	2
+ PDF Chat	Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems	2020	Qiyu Hu Yunlong Cai Qingjiang Shi Kaidi Xu Guanding Yu Zhi Ding	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+ PDF Chat	Learning to Reflect and to Beamform for Intelligent Reflecting Surface With Implicit Channel Estimation	2021	Tao Jiang Hei Victor Cheng Wei Yu	2
+	How Powerful are Graph Neural Networks?	2018	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	2
+ PDF Chat	LORM: Learning to Optimize for Resource Management in Wireless Networks With Few Training Samples	2019	Yifei Shen Yuanming Shi Jun Zhang Khaled B. Letaief	2
+ PDF Chat	Towards Optimal Power Control via Ensembling Deep Neural Networks	2019	Fei Liang Cong Shen Wei Yu Feng Wu	2
+	What Can Neural Networks Reason About?	2019	Keyulu Xu Jingling Li Mozhi Zhang Simon S. Du Ken‐ichi Kawarabayashi Stefanie Jegelka	2
+ PDF Chat	Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning	2018	Qimai Li Zhichao Han Xiao-Ming Wu	2
+ PDF Chat	A Graph Neural Network Approach for Scalable Wireless Power Control	2019	Yifei Shen Yuanming Shi Jun Zhang Khaled B. Letaief	2
+ PDF Chat	Graph Embedding-Based Wireless Link Scheduling With Few Training Samples	2020	Mengyuan Lee Guanding Yu Geoffrey Ye Li	2
+ PDF Chat	Cell-Free Massive MIMO Versus Small Cells	2017	Hien Quoc Ngo Alexei Ashikhmin Hong Yang Erik G. Larsson Thomas L. Marzetta	1
+ PDF Chat	Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems	2016	Xianghao Yu Juei-Chin Shen Jun Zhang Khaled B. Letaief	1
+	Message-passing algorithms for compressed sensing	2009	David L. Donoho Arian Maleki Andrea Montanari	1
+	A Neural Representation of Sketch Drawings	2017	David Ha Douglas Eck	1
+	Neural Collaborative Filtering	2017	Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu Tat‐Seng Chua	1
+	Complete Dictionary Recovery Over the Sphere I: Overview and the Geometric Picture	2016	Ju Sun Qing Qu John Wright	1
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	1
+ PDF Chat	Predicting positive and negative links in online social networks	2010	Jure Leskovec Daniel P. Huttenlocher Jon Kleinberg	1
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	1
+ PDF Chat	Deep Hashing Network for Unsupervised Domain Adaptation	2017	Hemanth Venkateswara José Eusébio Shayok Chakraborty Sethuraman Panchanathan	1
+ PDF Chat	Predicting multicellular function through multi-layer tissue networks	2017	Marinka Žitnik Jure Leskovec	1
+ PDF Chat	Deeper, Broader and Artier Domain Generalization	2017	Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales	1
+	Fine-Grained Visual Classification of Aircraft	2013	Subhransu Maji Esa Rahtu Juho Kannala Matthew B. Blaschko Andrea Vedaldi	1
+ PDF Chat	Zero-Shot Learning — The Good, the Bad and the Ugly	2017	Yongqin Xian Bernt Schiele Zeynep Akata	1
+	Dictionary Learning-Based Sparse Channel Representation and Estimation for FDD Massive MIMO Systems	2018	Yacong Ding Bhaskar D. Rao	1
+	When Are Nonconvex Problems Not Scary?	2015	Ju Sun Qing Qu John Wright	1
+ PDF Chat	YOLO9000: Better, Faster, Stronger	2017	Joseph Redmon Ali Farhadi	1
+ PDF Chat	ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing	2018	Jian Zhang Bernard Ghanem	1
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	1
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	1
+	On piecewise constant delay differential equations	1992	K Jayasree Sadashiv G. Deo	1
+ PDF Chat	Collaborative Memory Network for Recommendation Systems	2018	Travis Ebesu Bin Shen Yi Fang	1
+	Solving high-dimensional partial differential equations using deep learning	2018	Jiequn Han Arnulf Jentzen E Weinan	1
+ PDF Chat	Adversarial Attacks on Neural Networks for Graph Data	2018	Daniel Zügner Amir Akbarnejad Stephan Günnemann	1
+ PDF Chat	Spatial Deep Learning for Wireless Scheduling	2019	Wei Cui Kaiming Shen Wei Yu	1
+	Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search	2018	Zhuwen Li Qifeng Chen Vladlen Koltun	1
+ PDF Chat	A Model-Driven Deep Learning Network for MIMO Detection	2018	Hengtao He Chao-Kai Wen Shi Jin Geoffrey Ye Li	1
+	Gradient Descent Provably Optimizes Over-parameterized Neural Networks	2018	Simon S. Du Xiyu Zhai Barnabás Póczos Aarti Singh	1
+ PDF Chat	User Association and Load Balancing for Massive MIMO through Deep Learning	2018	Alessio Zappone Luca Sanguinetti Mérouane Debbah	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+ PDF Chat	Generalized Approximate Message Passing for Massive MIMO mmWave Channel Estimation With Laplacian Prior	2019	Faouzi Bellili Foad Sohrabi Wei Yu	1
+	YOLOv3: An Incremental Improvement.	2018	Joseph Redmon Ali Farhadi	1