Yan Yan

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All published works

Action	Title	Year	Authors
+ PDF Chat	Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner	2024	Yuzhang Shang Bingxin Xu Weitai Kang Mu Cai Yuheng Li Zeguo Wen Zhen Dong Kurt Keutzer Yong Jae Lee Yan Yan
+ PDF Chat	The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks	2024	Ziquan Liu Yufei Cui Yan Yan Yi Xu Xiangyang Ji Xue Liu Antoni B. Chan
+ PDF Chat	QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning	2024	Haoxuan Wang Yuzhang Shang Zhihang Yuan Junyi Wu Yan Yan
+ PDF Chat	FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data	2024	Xinyu Chen Jiannan Tian Ian Beaver Cynthia Freeman Yan Yan Jianguo Wang Dingwen Tao
+ PDF Chat	Out-of-distribution Detection in Time-series Domain: A Novel Seasonal Ratio Scoring Approach	2023	Taha Belkhouja Yan Yan Janardhan Rao Doppa
+ PDF Chat	Causal-DFQ: Causality Guided Data-free Network Quantization	2023	Yuzhang Shang Bingxin Xu Gaowen Liu Ramana Rao Kompella Yan Yan
+ PDF Chat	Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis	2023	Subhankar Ghosh Taha Belkhouja Yan Yan Janardhan Rao Doppa
+	Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis	2023	Subhankar Ghosh Taha Belkhouja Yan Yan Janardhan Rao Doppa
+	Probabilistically robust conformal prediction	2023	Subhankar Ghosh Yuanjie Shi Taha Belkhouja Yan Yan Jana Doppa Brian K. Jones
+	Towards Exascale Computation for Turbomachinery Flows	2023	Yuhang Fu Weiqi Shen Jiahuan Cui Yao Zheng Jing Wang Zhao Liu Jifa Zhang Tingwei Ji Fangfang Xie Xiaojing Lv
+	Causal-DFQ: Causality Guided Data-free Network Quantization	2023	Yuzhang Shang Bingxin Xu Gaowen Liu Ramana Rao Kompella Yan Yan
+ PDF Chat	Dynamic Time Warping Based Adversarial Framework for Time-Series Domain	2022	Taha Belkhouja Yan Yan Janardhan Rao Doppa
+	Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis	2022	Taha Belkhouja Yan Yan Janardhan Rao Doppa
+	Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation	2022	Ye Zhu Yu Wu Kyle Olszewski Jian Ren Sergey Tulyakov Yan Yan
+	Network Binarization via Contrastive Learning	2022	Yuzhang Shang Dan Xu Ziliang Zong Liqiang Nie Yan Yan
+	Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach	2022	Taha Belkhouja Yan Yan Janardhan Rao Doppa
+	Dynamic Time Warping based Adversarial Framework for Time-Series Domain	2022	Taha Belkhouja Yan Yan Janardhan Rao Doppa
+	Lipschitz Continuity Retained Binary Neural Network	2022	Yuzhang Shang Dan Xu Bin Duan Ziliang Zong Liqiang Nie Yan Yan
+ PDF Chat	Lipschitz Continuity Retained Binary Neural Network	2022	Yuzhang Shang Dan Xu Bin Duan Ziliang Zong Liqiang Nie Yan Yan
+ PDF Chat	Network Binarization via Contrastive Learning	2022	Yuzhang Shang Dan Xu Ziliang Zong Liqiang Nie Yan Yan
+ PDF Chat	Quantized GAN for Complex Music Generation from Dance Videos	2022	Ye Zhu Kyle Olszewski Yu Wu Panos Achlioptas Menglei Chai Yan Yan Sergey Tulyakov
+ PDF Chat	Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification	2021	Zhuoning Yuan Yan Yan Milan Sonka Tianbao Yang
+ PDF Chat	Saying the Unseen: Video Descriptions via Dialog Agents	2021	Ye Zhu Yu Wu Yi Yang Yan Yan
+ PDF Chat	Learning Audio-Visual Correlations From Variational Cross-Modal Generation	2021	Ye Zhu Yu Wu Hugo Latapie Yi Yang Yan Yan
+ PDF Chat	Structured discriminative tensor dictionary learning for unsupervised domain adaptation	2021	Songsong Wu Yan Yan Hao Tang Jianjun Qian Jian Zhang Yuning Dong Xiao‐Yuan Jing
+ PDF Chat	Revisiting Optical Flow Estimation in 360 Videos	2021	Keshav Bhandari Ziliang Zong Yan Yan
+	Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation	2021	Cody Blakeney Nathaniel Huish Yan Yan Ziliang Zong
+	Measure Twice, Cut Once: Quantifying Bias and Fairness in Deep Neural Networks	2021	Cody Blakeney Gentry Atkinson Nathaniel Huish Yan Yan Vangelis Metris Ziliang Zong
+	Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise	2020	Yan Yan Xin Man Tianbao Yang
+	Revisiting Optical Flow Estimation in 360 Videos	2020	Keshav Bhandari Ziliang Zong Yan Yan
+	Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization	2020	Yan Yan Yi Xu Qihang Lin Wei Liu Tianbao Yang
+	Stochastic Optimization for Non-convex Inf-Projection Problems	2019	Yan Yan Yi Xu Lijun Zhang Xiaoyu Wang Tianbao Yang
+	Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation	2019	Songsong Wu Yan Yan Hao Tang Jianjun Qian Jian Zhang Xiao‐Yuan Jing
+	Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond	2019	Zitao Liu Zhexuan Xu Yan Yan
+	Time-weighted Attentional Session-Aware Recommender System	2019	Mei Wang Weizhi Li Yan Yan
+	Stochastic Optimization for Non-convex Inf-Projection Problems	2019	Yan Yan Yi Xu Lijun Zhang Wang Xiaoyu Tianbao Yang
+	A Unified Analysis of Stochastic Momentum Methods for Deep Learning	2018	Yan Yan Tianbao Yang Zhe Li Qihang Lin Yi Yang
+	Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization	2018	Guoliang Kang Liang Zheng Yan Yan Yi Yang
+	A Unified Analysis of Stochastic Momentum Methods for Deep Learning	2018	Yan Yan Tianbao Yang Zhe Li Qihang Lin Yi Yang
+ PDF Chat	Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation Maximization	2018	Guoliang Kang Liang Zheng Yan Yan Yi Yang
+ PDF Chat	From Query-By-Keyword to Query-By-Example: LinkedIn Talent Search Approach	2017	Viet Ha−Thuc Yan Yan Xianren Wu Vijay Dialani Abhishek Gupta Shakti Sinha
+ PDF Chat	From Query-By-Keyword to Query-By-Example	2017	Viet Ha−Thuc Yan Yan Xianren Wu Vijay Dialani Abhishek Gupta Shakti Sinha
+ PDF Chat	From Query-By-Keyword to Query-By-Example: LinkedIn Talent Search Approach	2017	Viet Ha−Thuc Yan Yan Xianren Wu Vijay Dialani Abhishek Gupta Shakti Sinha
+	Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O(1/\epsilon)$	2016	Yi Xu Yan Yan Qihang Lin Tianbao Yang
+ PDF Chat	Search by Ideal Candidates: Next Generation of Talent Search at LinkedIn	2016	Viet Ha−Thuc Ye Xu Satya Pradeep Kanduri Xianren Wu Vijay Dialani Yan Yan Abhishek Gupta Shakti Sinha
+ PDF Chat	Search by Ideal Candidates: Next Generation of Talent Search at LinkedIn	2016	Viet Ha−Thuc Ye Xu Satya Pradeep Kanduri Xianren Wu Vijay Dialani Yan Yan Abhishek Gupta Shakti Sinha
+	Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016)	2016	Nancy M. Amato Charles Anderson Gregory S. Chirikjian Hamidreza Chitsaz Vishnu R. Desaraju Chinwe Ekenna Kris Hauser Geoffrey A. Hollinger R. Iraji Minwoo Lee
+	Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O(1/ε)$	2016	Yi Xu Yan Yan Qihang Lin Tianbao Yang
+ PDF Chat	Search by Ideal Candidates	2016	Viet Ha−Thuc Ye Xu Satya Pradeep Kanduri Xianren Wu Vijay Dialani Yan Yan Abhishek Gupta Shakti Sinha
+ PDF Chat	Efficient Semidefinite Spectral Clustering via Lagrange Duality	2014	Yan Yan Chunhua Shen Hanzi Wang
+	Efficient Semidefinite Spectral Clustering via Lagrange Duality	2014	Yan Yan Chunhua Shen Hanzi Wang
+	New Method of Image Denoising Based on Fractional Wavelet Transform	2013	Peiguang Wang Yan Yan Hua Tian
+	Simulation and Optimize Design for Deflector Plate of the Vehicle Mounted Vertically Thermal Launched Missile	2012	Shao Zhen Yu Yi Jiang Yan Li Yan Yan Bo Wei Liu
+	Application of time series to thermal error compensation of machine tools	2010	Enming Miao Yan Yan Yetai Fei
+	New Oscillation Criteria for Second Order Linear Matrix Differential Equations with Damping	2008	Yan Yan Cong Cong Xu Xu Ming Ming Жу

Common Coauthors

Coauthor	Papers Together
Tianbao Yang	9
Ziliang Zong	8
Taha Belkhouja	8
Yuzhang Shang	8
Janardhan Rao Doppa	7
Xianren Wu	6
Shakti Sinha	6
Abhishek Gupta	6
Vijay Dialani	6
Viet Ha−Thuc	6
Yi Yang	6
Qihang Lin	5
Yu Wu	4
Yi Xu	4
Liqiang Nie	4
Subhankar Ghosh	3
Satya Pradeep Kanduri	3
Ye Xu	3
Bingxin Xu	3
Nathaniel Huish	2
Keshav Bhandari	2
Hao Tang	2
Kyle Olszewski	2
Hanzi Wang	2
Guoliang Kang	2
Xiao‐Yuan Jing	2
Ye Zhu	2
Liang Zheng	2
Jian Zhang	2
Dan Xu	2
Gaowen Liu	2
Ramana Rao Kompella	2
Jianjun Qian	2
Cody Blakeney	2
Bin Duan	2
Songsong Wu	2
Chunhua Shen	2
Cong Cong	1
Guocheng Tao	1
Yi Xu	1
Zhexuan Xu	1
Seid Korić	1
Nathan Michael	1
Kris Hauser	1
Bo Wei Liu	1
Nancy M. Amato	1
Weizhi Li	1
Hanyue Liu	1
Gentry Atkinson	1
Chinwe Ekenna	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	9
+ PDF Chat	Personalized expertise search at LinkedIn	2015	Viet Ha−Thuc Ganesh Venkataraman Mario Rodriguez Shakti Sinha Senthil Sundaram Lin Guo	6
+	CyCADA: Cycle-Consistent Adversarial Domain Adaptation	2017	Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell	4
+	Unsupervised Domain Adaptation by Backpropagation	2014	Yaroslav Ganin Victor Lempitsky	4
+ PDF Chat	Lipschitz Continuity Guided Knowledge Distillation	2021	Yuzhang Shang Bin Duan Ziliang Zong Liqiang Nie Yan Yan	3
+ PDF Chat	Audio-Visual Event Localization in Unconstrained Videos	2018	Yapeng Tian Jing Shi Bochen Li Zhiyao Duan Chenliang Xu	3
+ PDF Chat	Learning to Separate Object Sounds by Watching Unlabeled Video	2018	Ruohan Gao Rogério Feris Kristen Grauman	3
+ PDF Chat	Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features	2022	Taha Belkhouja Janardhan Rao Doppa	3
+	Domain Separation Networks	2016	Konstantinos Bousmalis George Trigeorgis Nathan Silberman Dilip Krishnan Dumitru Erhan	3
+	Learning Transferable Features with Deep Adaptation Networks	2015	Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan	3
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	3
+ PDF Chat	Similarity-Preserving Knowledge Distillation	2019	Fred Tung Greg Mori	3
+	FlowNet: Learning Optical Flow with Convolutional Networks	2015	Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser Caner Hazırbaş Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox	2
+ PDF Chat	Learning Deep Representations with Probabilistic Knowledge Transfer	2018	Nikolaos Passalis Anastasios Tefas	2
+	Kernel Transformer Networks for Compact Spherical Convolution	2018	Yu-Chuan Su Kristen Grauman	2
+ PDF Chat	Graph-Based Classification of Omnidirectional Images	2017	Pascal Frossard Renata Khasanova	2
+ PDF Chat	Adversarial Discriminative Domain Adaptation	2017	Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell	2
+ PDF Chat	Learning SO(3) Equivariant Representations with Spherical CNNs	2018	Carlos Esteves Christine Allen-Blanchette Ameesh Makadia Kostas Daniilidis	2
+	Learning to Extract Motion from Videos in Convolutional Neural Networks	2016	Damien Teney Martial Hebert	2
+ PDF Chat	CNN architectures for large-scale audio classification	2017	Shawn Hershey Sourish Chaudhuri Daniel P. W. Ellis Jort F. Gemmeke Aren Jansen Robert C. Moore Manoj Plakal Devin Platt Rif A. Saurous Bryan Seybold	2
+ PDF Chat	Improving the Robustness of Deep Neural Networks via Stability Training	2016	Stephan Zheng Yang Song Thomas Leung Ian Goodfellow	2
+ PDF Chat	Universal Adversarial Perturbations	2017	Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi Pascal Frossard	2
+	Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer	2016	Sergey Zagoruyko Nikos Komodakis	2
+	Unsupervised Image-to-Image Translation Networks	2017	Ming-Yu Liu Thomas M. Breuel Jan Kautz	2
+	Smoothing proximal gradient method for general structured sparse regression	2012	Xi Chen Qihang Lin Se Young Kim Jaime G. Carbonell Eric P. Xing	2
+	Towards Crafting Text Adversarial Samples	2017	Suranjana Samanta Sameep Mehta	2
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	2
+ PDF Chat	Deep Micro-Dictionary Learning and Coding Network	2019	Hao Tang Heng Wei Wei Xiao Wei Wang Dan Xu Yan Yan Nicu Sebe	2
+	Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos	2018	Hsien-Tzu Cheng Chun-Hung Chao Jin‐Dong Dong Hao-Kai Wen Tyng-Luh Liu Min Sun	2
+	Adversarial Discriminative Domain Adaptation	2017	Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell	2
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	2
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	2
+ PDF Chat	Optical Flow Estimation Using a Spatial Pyramid Network	2017	Anurag Ranjan Michael J. Black	2
+ PDF Chat	Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality	2010	Hédy Attouch Jérôme Bolte Patrick Redont Antoine Soubeyran	2
+	BPR: Bayesian Personalized Ranking from Implicit Feedback	2012	Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme	2
+	Partitioning Sparse Matrices with Eigenvectors of Graphs	1990	Alex Pothen Horst D. Simon K. N. Liou	2
+	The Łojasiewicz Inequality for Nonsmooth Subanalytic Functions with Applications to Subgradient Dynamical Systems	2007	Jérôme Bolte Aris Daniilidis Adrian S. Lewis	2
+ PDF Chat	Tensors in Image Processing and Computer Vision	2009	Santiago Aja‐Fernández Rodrigo Luis García Dacheng Tao Xuelong Li	2
+ 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	2
+ PDF Chat	A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem	2013	Lin Xiao Tong Zhang	2
+ PDF Chat	PatchBatch: A Batch Augmented Loss for Optical Flow	2016	David Gadot Lior Wolf	2
+ PDF Chat	Learning Deep Features for Discriminative Localization	2016	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba	2
+ PDF Chat	An efficient primal dual prox method for non-smooth optimization	2014	Tianbao Yang Mehrdad Mahdavi Rong Jin Shenghuo Zhu	2
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	New Analysis of Linear Convergence of Gradient-type Methods via Unifying Error Bound Conditions	2016	Huigang Zhang	2
+	RSG: Beating Subgradient Method without Smoothness and Strong Convexity	2015	Tianbao Yang Qihang Lin	2
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	2
+ PDF Chat	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks	2017	Eddy Ilg N. Michael Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox	2
+ PDF Chat	Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks	2017	Konstantinos Bousmalis Nathan Silberman David Dohan Dumitru Erhan Dilip Krishnan	2
+ PDF Chat	A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging	2010	Antonin Chambolle Thomas Pock	2