Fan Yang

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All published works

Action	Title	Year	Authors
+ PDF Chat	FSC-loss: A Frequency-domain Structure Consistency Learning Approach for Signal Data Recovery and Reconstruction	2025	Liwen Zhang Zhongrong Miao Fan Yang Gen Shi Jie He Yu An Hui Hui Jie Tian
+ PDF Chat	Topological cliques in sparse expanders	2024	Xia Wang Donglei Yang Fan Yang Haotian Yang
+ PDF Chat	Multi-frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering Problems	2024	Daoqi Liu Tao Shan Maokun Li Fan Yang Shenheng Xu
+ PDF Chat	A Semi-Tensor Product based Circuit Simulation for SAT-sweeping	2024	Hongyang Pan Ruibing Zhang Yinshui Xia Lunyao Wang Fan Yang Xuan Zeng Zhufei Chu
+ PDF Chat	Calibrating multi-dimensional complex ODE from noisy data via deep neural networks	2024	Kexuan Li Fangfang Wang Ruiqi Liu Fan Yang Zuofeng Shang
+ PDF Chat	AOSR-Net: All-in-One Sandstorm Removal Network	2023	Yazhong Si Xulong Zhang Fan Yang Jianzong Wang Ning Cheng Jing Xiao
+	Improve Sparse Implicit Projection Via Incomplete Cholesky Factorization	2023	Yang Yang Fan Yang Xuan Zeng
+	Unleashing the Power of Graph Spectral Sparsification for Power Grid Analysis via Incomplete Cholesky Factorization	2023	Chunqiao Li Chengtao An Zhengqi Gao Fan Yang Yangfeng Su Xuan Zeng
+	AOSR-Net: All-in-One Sandstorm Removal Network	2023	Yazhong Si Xulong Zhang Fan Yang Jianzong Wang Ning Cheng Jing Xiao
+	Popularity, face and voice: Predicting and interpreting livestreamers' retail performance using machine learning techniques	2023	Xiong Xiong Fan Yang Li Su
+ PDF Chat	LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces	2022	Shuhan Zhang Fan Yang Changhao Yan Dian Zhou Xuan Zeng
+ PDF Chat	LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces	2022	Shuhan Zhang Fan Yang Changhao Yan Dian Zhou Xuan Zeng
+ PDF Chat	MLTR: Multi-Label Classification with Transformer	2022	Cheng Xing Hezheng Lin Xiangyu Wu Dong Shen Fan Yang Honglin Liu Nian Shi
+ PDF Chat	Do Smart Glasses Dream of Sentimental Visions?	2022	Yingying Zhao Yuhu Chang Yutian Lu Yujiang Wang Mingzhi Dong Qin Lv Robert P. Dick Fan Yang Tun Lu Ning Gu
+	A New Approach to Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute	2021	Ningxin Zheng Bin Lin Quanlu Zhang Lingxiao Ma Jing Wang Fan Yang Mao Yang Lidong Zhou
+ PDF Chat	CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning	2021	Chen Wei Kihyuk Sohn Clayton Mellina Alan Yuille Fan Yang
+ PDF Chat	Towards Compact CNNs via Collaborative Compression	2021	Yuchao Li Shaohui Lin Jianzhuang Liu Qixiang Ye Mengdi Wang Fei Chao Fan Yang Jincheng Ma Qi Tian Rongrong Ji
+ PDF Chat	An Efficient Batch-Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multiobjective Acquisition Ensemble	2021	Shuhan Zhang Fan Yang Changhao Yan Dian Zhou Xuan Zeng
+	CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning	2021	Chen Wei Kihyuk Sohn Clayton Mellina Alan Yuille Fan Yang
+	Towards Compact CNNs via Collaborative Compression	2021	Yuchao Li Shaohui Lin Jianzhuang Liu Qixiang Ye Mengdi Wang Fei Chao Fan Yang Jincheng Ma Qi Tian Rongrong Ji
+	Calibrating multi-dimensional complex ODE from noisy data via deep neural networks	2021	Kexuan Li Fangfang Wang Ruiqi Liu Fan Yang Zuofeng Shang
+	LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces	2021	Shuhan Zhang Fan Yang Changhao Yan Dian Zhou Xuan Zeng
+ PDF Chat	An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis	2020	Shuhan Zhang Fan Yang Dian Zhou Xuan Zeng
+	On Metric DBSCAN with Low Doubling Dimension	2020	Hu Ding Fan Yang
+	PAMS: Quantized Super-Resolution via Parameterized Max Scale	2020	Huixia Li Chenqian Yan Shaohui Lin Xiawu Zheng Yuchao Li Baochang Zhang Fan Yang Rongrong Ji
+ PDF Chat	PAMS: Quantized Super-Resolution via Parameterized Max Scale	2020	Huixia Li Chenqian Yan Shaohui Lin Xiawu Zheng Baochang Zhang Fan Yang Rongrong Ji
+ PDF Chat	Low-bit Quantization of Neural Networks for Efficient Inference	2019	Yoni Choukroun Eli Kravchik Fan Yang Pavel Kisilev
+ PDF Chat	An Efficient Multi-fidelity Bayesian Optimization Approach for Analog Circuit Synthesis	2019	Shuhan Zhang Wenlong Lyu Fan Yang Changhao Yan Dian Zhou Xuan Zeng Xiangdong Hu
+ PDF Chat	Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network	2019	Shuhan Zhang Wenlong Lyu Fan Yang Changhao Yan Dian Zhou Xuan Zeng
+	Low-bit Quantization of Neural Networks for Efficient Inference	2019	Yoni Choukroun Eli Kravchik Fan Yang Pavel Kisilev
+	Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads	2019	Myeongjae Jeon Shivaram Venkataraman Amar Phanishayee Junjie Qian Wencong Xiao Fan Yang
+	GLA-Net: An Attention Network with Guided Loss for Mismatch Removal	2019	Zhi Chen Fan Yang Wenbing Tao
+	Analyzing Insect-Plant Predation Data By Bayesian Nonparametrics	2019	Fan Yang
+	100G Data Center Interconnections with Silicon Dual-Drive Mach-Zehnder Modulator and Direct Detection	2018	Xiaoke Ruan Lei Zhang Fan Yang Yixiao Zhu Fan Zhang
+	Using Randomness to Improve Robustness of Machine-Learning Models Against Evasion Attacks	2018	Fan Yang Zhiyuan Chen
+	Nested Sparse-grid Stochastic Collocation Method and Its Application to Gate Delay Modeling under Process Variations	2010	Xu Luo Fan Yang Hengliang Zhu Jun Tao Wei Cai Dian Zhou Xuan Zeng

Common Coauthors

Coauthor	Papers Together
Xuan Zeng	11
Dian Zhou	8
Changhao Yan	6
Rongrong Ji	4
Shaohui Lin	4
Shuhan Zhang	4
Shuhan Zhang	3
Yuchao Li	3
Qixiang Ye	2
Xulong Zhang	2
Chenqian Yan	2
Yoni Choukroun	2
Jing Xiao	2
Eli Kravchik	2
Baochang Zhang	2
Huixia Li	2
Chen Wei	2
Kexuan Li	2
Qi Tian	2
Mengdi Wang	2
Xiawu Zheng	2
Jincheng Ma	2
Wenlong Lyu	2
Pavel Kisilev	2
Alan Yuille	2
Yazhong Si	2
Zuofeng Shang	2
Jianzong Wang	2
Fangfang Wang	2
Clayton Mellina	2
Ning Cheng	2
Fei Chao	2
Kihyuk Sohn	2
Jianzhuang Liu	2
Lunyao Wang	1
Chunqiao Li	1
Hengliang Zhu	1
Dong Shen	1
Ningxin Zheng	1
Bin Lin	1
Mingzhi Dong	1
Junjie Qian	1
Jun Tao	1
Li Shang	1
Maokun Li	1
Jie He	1
Nian Shi	1
Honglin Liu	1
Shenheng Xu	1
Tao Shan	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	13
+	DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients	2016	Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou	6
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	5
+ PDF Chat	Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration	2019	Yang He Ping Liu Ziwei Wang Zhilan Hu Yi Yang	5
+ PDF Chat	An Efficient Multi-fidelity Bayesian Optimization Approach for Analog Circuit Synthesis	2019	Shuhan Zhang Wenlong Lyu Fan Yang Changhao Yan Dian Zhou Xuan Zeng Xiangdong Hu	5
+	Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Itay Hubara Daniel Soudry Ran El‐Yaniv Yoshua Bengio	5
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	4
+ PDF Chat	Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference	2018	Benoit Jacob Skirmantas Kligys Bo Chen Menglong Zhu Matthew F. Tang Andrew Howard Hartwig Adam Dmitry Kalenichenko	4
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	4
+	ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES	1933	W. R THOMPSON	4
+ PDF Chat	Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network	2019	Shuhan Zhang Wenlong Lyu Fan Yang Changhao Yan Dian Zhou Xuan Zeng	4
+ PDF Chat	Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design	2009	Niranjan Srinivas Andreas Krause Sham M. Kakade Matthias Seeger	4
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	4
+ PDF Chat	Channel Pruning for Accelerating Very Deep Neural Networks	2017	Yihui He Xiangyu Zhang Jian Sun	4
+ PDF Chat	SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks	2018	Julian Faraone Nicholas J. Fraser Michaela Blott Philip H. W. Leong	4
+	Portfolio Allocation for Bayesian Optimization	2010	Eric Brochu Matthew W. Hoffman Nando de Freitas	3
+	A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning	2010	Eric Brochu Vlad M. Cora Nando de Freitas	3
+	Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation	2014	Emily Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus	3
+	On the Likelihood that One Unknown Probability Exceeds Another in View of the Evidence of Two Samples	1933	William Thompson	3
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	3
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	3
+	Batch Bayesian Optimization via Local Penalization	2015	Javier González Zhenwen Dai Philipp Hennig Neil D. Lawrence	3
+ PDF Chat	Towards Optimal Structured CNN Pruning via Generative Adversarial Learning	2019	Shaohui Lin Rongrong Ji Chenqian Yan Baochang Zhang Liujuan Cao Qixiang Ye Feiyue Huang David Doermann	3
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	3
+ PDF Chat	An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis	2020	Shuhan Zhang Fan Yang Dian Zhou Xuan Zeng	3
+ PDF Chat	ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design	2018	Ningning Ma Xiangyu Zhang Hai-Tao Zheng Jian Sun	2
+ PDF Chat	Image Super-Resolution Using Very Deep Residual Channel Attention Networks	2018	Yulun Zhang Kunpeng Li Kai Li Lichen Wang Bineng Zhong Yun Fu	2
+ PDF Chat	Coreset-Based Neural Network Compression	2018	Abhimanyu Dubey Moitreya Chatterjee Narendra Ahuja	2
+ PDF Chat	Convolutional Networks with Adaptive Inference Graphs	2018	Andreas Veit Serge Belongie	2
+	Parameter Estimation and Variable Selection for Big Systems of Linear Ordinary Differential Equations: A Matrix-Based Approach	2018	Leqin Wu Xing Qiu Ya-xiang Yuan Hulin Wu	2
+	QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding	2016	Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović	2
+	PACT: Parameterized Clipping Activation for Quantized Neural Networks	2018	Jungwook Choi Zhuo Wang Swagath Venkataramani Pierce Chuang Vijayalakshmi Srinivasan Kailash Gopalakrishnan	2
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville	2
+	Compressing Deep Convolutional Networks using Vector Quantization	2014	Yunchao Gong Liu Liu Ming–Hsuan Yang Lubomir Bourdev	2
+ PDF Chat	A systematic study of the class imbalance problem in convolutional neural networks	2018	Mateusz Buda Atsuto Maki Maciej A. Mazurowski	2
+ PDF Chat	Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning	2018	Yin Cui Yang Song Chen Sun Andrew Howard Serge Belongie	2
+ PDF Chat	Improving Generalization via Scalable Neighborhood Component Analysis	2018	Zhirong Wu Alexei A. Efros Stella X. Yu	2
+	Max-value Entropy Search for Efficient Bayesian Optimization	2017	Zi Wang Stefanie Jegelka	2
+ PDF Chat	Deep Learning with Low Precision by Half-Wave Gaussian Quantization	2017	Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos	2
+ PDF Chat	Coordinating Filters for Faster Deep Neural Networks	2017	Wei Wen Cong Xu Chunpeng Wu Yandan Wang Yiran Chen Hai Li	2
+	FitNets: Hints for Thin Deep Nets	2014	Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang Carlo Gatta Yoshua Bengio	2
+	Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning.	2016	Pavlo Molchanov Stephen Tyree Tero Karras Timo Aila Jan Kautz	2
+	Predictive Entropy Search for Efficient Global Optimization of Black-box Functions	2014	José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani	2
+	Bayesian Optimization with Unknown Constraints	2014	Michael A. Gelbart Jasper Snoek Ryan P. Adams	2
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	2
+	Kernels for Nonparametric Curve Estimation	1985	Théo Gasser H-G. MÜller Volker Mammitzsch	2
+ PDF Chat	Deeply-Recursive Convolutional Network for Image Super-Resolution	2016	Jiwon Kim Jung Kwon Lee Kyoung Mu Lee	2
+ PDF Chat	Accurate Image Super-Resolution Using Very Deep Convolutional Networks	2016	Jiwon Kim Jung Kwon Lee Kyoung Mu Lee	2
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	2
+	Non-Parametric Function Fitting	1972	Mark Priestley Min‐Te Chao	2