James Cheng

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All published works

Action	Title	Year	Authors
+ PDF Chat	HIGHT: Hierarchical Graph Tokenization for Graph-Language Alignment	2024	Yongqiang Chen Quanming Yao Juzheng Zhang James Cheng Yatao Bian
+ PDF Chat	How Interpretable Are Interpretable Graph Neural Networks?	2024	Yongqiang Chen Yatao Bian Bo Han James Cheng
+ PDF Chat	Enhancing Evolving Domain Generalization through Dynamic Latent Representations	2024	Binghui Xie Yongqiang Chen Jiaqi Wang Kaiwen Zhou Bo Han Meng Wei James Cheng
+ PDF Chat	Enhancing Neural Subset Selection: Integrating Background Information into Set Representations	2024	Binghui Xie Yatao Bian Kaiwen Zhou Yongqiang Chen Peilin Zhao Bo Han Meng Wei James Cheng
+	Enhancing Evolving Domain Generalization through Dynamic Latent Representations	2024	Binghui Xie Yongqiang Chen Jiaqi Wang Kaiwen Zhou Bo Han Meng Wei James Cheng
+	Understanding and Improving Feature Learning for Out-of-Distribution Generalization	2023	Yongqiang Chen Wei Huang Kaiwen Zhou Yatao Bian Bo Han James Cheng
+	Towards out-of-distribution generalizable predictions of chemical kinetics properties	2023	Zihao Wang Yongqiang Chen Yang Duan Weijiang Li Bo Han James Cheng Hanghang Tong
+	Does Invariant Graph Learning via Environment Augmentation Learn Invariance?	2023	Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng
+	Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes	2023	Yongqiang Chen Binghui Xie Kaiwen Zhou Bo Han Yatao Bian James Cheng
+	SPT: Fine-Tuning Transformer-based Language Models Efficiently with Sparsification	2023	Yuntao Gui Xiao Yan Peiqi Yin Han Yang James Cheng
+	Measuring and Improving the Use of Graph Information in Graph Neural Networks	2022	Yifan Hou Jian Zhang James Cheng Kaili Ma T. B. Richard Hongzhi Chen Ming-Chang Yang
+	Understanding and Improving Graph Injection Attack by Promoting Unnoticeability	2022	Yongqiang Chen Han Yang Yonggang Zhang Kaili Ma Tongliang Liu Bo Han James Cheng
+	An Adaptive Incremental Gradient Method With Support for Non-Euclidean Norms	2022	Binghui Xie Chenhan Jin Kaiwen Zhou James Cheng Meng Wei
+	Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack	2022	Ruize Gao Jiongxiao Wang Kaiwen Zhou Feng Liu Binghui Xie Gang Niu Bo Han James Cheng
+	Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization	2022	Yongqiang Chen Kaiwen Zhou Yatao Bian Binghui Xie Kaili Ma Yonggang Zhang Han Yang Bo Han James Cheng
+	Efficient Private SCO for Heavy-Tailed Data via Clipping	2022	Chenhan Jin Kaiwen Zhou Bo Han James Cheng Ming‐Chang Yang
+	Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs	2022	Yongqiang Chen Yonggang Zhang Yatao Bian Han Yang Kaili Ma Binghui Xie Tongliang Liu Bo Han James Cheng
+	DGI: Easy and Efficient Inference for GNNs	2022	Peiqi Yin Xiao Yan Jinjing Zhou Qiang Fu Zhenkun Cai James Cheng Bo Tang Minjie Wang
+	A Representation Learning Framework for Property Graphs	2022	Yifan Hou Hongzhi Chen Changji Li James Cheng Ming‐Chang Yang
+ PDF Chat	TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism	2021	Zhenkun Cai Xiao Yan Kaihao Ma Yidi Wu Yuzhen Huang James Cheng Teng Su Fan Yu
+ PDF Chat	Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs	2021	Han Yang Yan Xiao Xinyan Dai Yongqiang Chen James Cheng
+ PDF Chat	Rethinking Graph Regularization for Graph Neural Networks	2021	Han Yang Kaili Ma James Cheng
+	Calibrating and Improving Graph Contrastive Learning	2021	Kaili Ma Haochen Yang Han Yang Tatiana Jin Pengfei Chen Yongqiang Chen Barakeel Fanseu Kamhoua James Cheng
+	G-Tran: Making Distributed Graph Transactions Fast	2021	Hongzhi Chen Changji Li Chenguang Zheng Chenghuan Huang Dongfang Zhang James Cheng Jian Zhang
+	Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums	2021	Kaiwen Zhou Lai Tian Anthony Man–Cho So James Cheng
+	Local Reweighting for Adversarial Training	2021	Ruize Gao Feng Liu Kaiwen Zhou Gang Niu Bo Han James Cheng
+	Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization	2021	Kaiwen Zhou Anthony Man–Cho So James Cheng
+ PDF Chat	Convolutional Embedding for Edit Distance	2020	Xinyan Dai Xiao Yan Kaiwen Zhou Yuxuan Wang Han Yang James Cheng
+ PDF Chat	Wasserstein Collaborative Filtering for Item Cold-start Recommendation	2020	Yitong Meng Xiao Yan Weiwen Liu Huanhuan Wu James Cheng
+	Tight Convergence Rate of Gradient Descent for Eigenvalue Computation	2020	Qinghua Ding Kaiwen Zhou James Cheng
+ PDF Chat	Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search	2020	Xinyan Dai Xiao Yan Kelvin K. W. Ng Jiu Liu James Cheng
+ PDF Chat	Understanding and Improving Proximity Graph Based Maximum Inner Product Search	2020	Jie Liu Xiao Yan Xinyan Dai Zhirong Li James Cheng Ming-Chang Yang
+	Edit Distance Embedding using Convolutional Neural Networks.	2020	Xinyan Dai Yan Xiao Kaiwen Zhou Yuxuan Wang Han Yang James Cheng
+	Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs	2020	Han Yang Yan Xiao Xinyan Dai Yongqiang Chen James Cheng
+	Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates	2020	Kaiwen Zhou Anthony Man–Cho So James Cheng
+	Understanding Graph Neural Networks from Graph Signal Denoising Perspectives	2020	Guoji Fu Yifan Hou Jian Zhang Kaili Ma Barakeel Fanseu Kamhoua James Cheng
+	Hierarchical Graph Matching Network for Graph Similarity Computation	2020	Haibo Xiu Xiao Yan Xiaoqiang Wang James Cheng Lei Cao
+	The item selection problem for user cold-start recommendation	2020	Yitong Meng Jie Liu Xiao Yan James Cheng
+	Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates	2020	Kaiwen Zhou Anthony Man–Cho So James Cheng
+	Rethinking Graph Regularization for Graph Neural Networks	2020	Yang Han Kaili Ma James Cheng
+ PDF Chat	A Representation Learning Framework for Property Graphs	2019	Yifan Hou Hongzhi Chen Changji Li James Cheng Ming-Chang Yang
+	Direct Acceleration of SAGA using Sampled Negative Momentum	2019	Kaiwen Zhou Qinghua Ding Fanhua Shang James Cheng Danli Li Zhi‐Quan Luo
+	Pyramid: A General Framework for Distributed Similarity Search	2019	Shiyuan Deng Xiao Yan Kelvin K. W. Ng Chenyu Jiang James Cheng
+	Understanding and Improving Proximity Graph based Maximum Inner Product Search	2019	Jie Liu Yan Xiao Xinyan Dai Zhirong Li James Cheng Ming-Chang Yang
+	Elastic deep learning in multi-tenant GPU cluster	2019	Yidi Wu Kaihao Ma Xiao Yan Zhi Liu Zhenkun Cai Yuzhen Huang James Cheng Han Yuan Fan Yu
+	Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search	2019	Xinyan Dai Xiao Yan Kelvin K. W. Ng Jie Liu James Cheng
+	Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning	2019	Xinyan Dai Yan Xiao Kaiwen Zhou Han Yang Kelvin K. W. Ng James Cheng Fan Yu
+	PMD: An Optimal Transportation-based User Distance for Recommender Systems	2019	Yitong Meng Xinyan Dai Xiao Yan James Cheng Weiwen Liu Benben Liao Jun Guo Guangyong Chen
+ PDF Chat	VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning	2018	Fanhua Shang Kaiwen Zhou Hongying Liu James Cheng Ivor W. Tsang Lijun Zhang Dacheng Tao Licheng Jiao
+	Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS).	2018	Xiao Yan Xinyan Dai Jie Liu Kaiwen Zhou James Cheng
+	A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates	2018	Kaiwen Zhou Fanhua Shang James Cheng
+ PDF Chat	Scalable De Novo Genome Assembly Using Pregel	2018	Da Yan Hongzhi Chen James Cheng Zhenkun Cai Bin Shao
+	Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization	2018	Fanhua Shang Yuanyuan Liu James Cheng
+	Scalable De Novo Genome Assembly Using Pregel	2018	Da Yan Hongzhi Chen James Cheng Zhenkun Cai Bin Shao
+	VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning	2018	Fanhua Shang Kaiwen Zhou Hongying Liu James Cheng Ivor W. Tsang Lijun Zhang Dacheng Tao Licheng Jiao
+	Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization	2018	Fanhua Shang Yuanyuan Liu Kaiwen Zhou James Cheng Kelvin K. W. Ng Yuichi Yoshida
+	A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates	2018	Kaiwen Zhou Fanhua Shang James Cheng
+	Norm-Ranging LSH for Maximum Inner Product Search	2018	Xiao Yan Jinfeng Li Xinyan Dai Hongzhi Chen James Cheng
+	Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications	2018	Fanhua Shang James Cheng Yuanyuan Liu Zhi‐Quan Luo Zhouchen Lin
+	ASVRG: Accelerated Proximal SVRG	2018	Fanhua Shang Licheng Jiao Kaiwen Zhou James Cheng Yan Ren Yufei Jin
+	Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization	2018	Fanhua Shang Yuanyuan Liu James Cheng
+	Norm-Range Partition: A Universal Catalyst for LSH based Maximum Inner Product Search (MIPS)	2018	Yan Xiao Xinyan Dai Jie Liu Kaiwen Zhou James Cheng
+	Fuzzy Double Trace Norm Minimization for Recommendation Systems	2017	Fanhua Shang Yuanyuan Liu James Cheng Da Yan
+	Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications	2017	Fanhua Shang James Cheng Yuanyuan Liu Zhi‐Quan Luo Zhouchen Lin
+	Variance Reduced Stochastic Gradient Descent with Sufficient Decrease.	2017	Fanhua Shang Yuanyuan Liu James Cheng Kelvin K. W. Ng Yuichi Yoshida
+	LFTF	2017	Fan Yang Fanhua Shang Yuzhen Huang James Cheng Jinfeng Li Yunjian Zhao Ruihao Zhao
+ PDF Chat	Accelerated Variance Reduced Stochastic ADMM	2017	Yuanyuan Liu Fanhua Shang James Cheng
+	Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning	2017	Fanhua Shang Yuanyuan Liu James Cheng Jiacheng Zhuo
+	Guaranteed Sufficient Decrease for Variance Reduced Stochastic Gradient Descent	2017	Fanhua Shang Yuanyuan Liu James Cheng Kelvin K. W. Ng Yuichi Yoshida
+	Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds	2017	Yuanyuan Liu Fanhua Shang James Cheng Hong Cheng Licheng Jiao
+	G-thinker: Big Graph Mining Made Easier and Faster	2017	Da Yan Hongzhi Chen James Cheng M. TAMER ÖZSU Qizhen Zhang John C. S. Lui
+	Accelerated Variance Reduced Stochastic ADMM	2017	Yuanyuan Liu Fanhua Shang James Cheng
+ PDF Chat	Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization	2016	Fanhua Shang Yuanyuan Liu James Cheng
+	Efficient Processing of Very Large Graphs in a Small Cluster	2016	Da Yan Yuzhen Huang James Cheng Huanhuan Wu
+	Lightweight Fault Tolerance in Large-Scale Distributed Graph Processing	2016	Da Yan James Cheng Fan Yang
+	Efficient Processing of Reachability and Time-Based Path Queries in a Temporal Graph	2016	Huanhuan Wu Yuzhen Huang James Cheng Jinfeng Li Yiping Ke
+	Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization	2016	Fanhua Shang Yuanyuan Liu James Cheng
+	Unified Scalable Equivalent Formulations for Schatten Quasi-Norms	2016	Fanhua Shang Yuanyuan Liu James Cheng
+	Quegel: A General-Purpose Query-Centric Framework for Querying Big Graphs	2016	Da Yan James Cheng M. TAMER ÖZSU Fan Yang Yi Lu John C. S. Lui Qizhen Zhang Wilfred Ng
+	Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition	2015	Yuanyuan Liu Fanhua Shang Wei Fan James Cheng Hong Cheng
+ PDF Chat	Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation	2015	Da Yan James Cheng Yi Lu Wilfred Ng
+	Regularized Orthogonal Tensor Decompositions for Multi-Relational Learning	2015	Fanhua Shang Yuanyuan Liu James Cheng Hong Cheng
+	Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation	2015	Da Yan James Cheng Yi Lu Wilfred Ng
+	Trace Norm Regularized CANDECOMP/PARAFAC Decomposition With Missing Data	2014	Yuanyuan Liu Fanhua Shang Licheng Jiao James Cheng Hong Cheng
+	Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion	2014	Yuanyuan Liu Fanhua Shang Wei Fan James Cheng Hong Cheng
+ PDF Chat	Generalized Higher-Order Tensor Decomposition via Parallel ADMM	2014	Fanhua Shang Yuanyuan Liu James Cheng
+ PDF Chat	Tripartite graph clustering for dynamic sentiment analysis on social media	2014	Linhong Zhu Aram Galstyan James Cheng Kristina Lerman
+ PDF Chat	Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion	2014	Yuanyuan Liu Fanhua Shang Hong Cheng James Cheng Hanghang Tong
+	Generalized Higher-Order Tensor Decomposition via Parallel ADMM	2014	Fanhua Shang Yuanyuan Liu James Cheng
+	Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations	2014	Fanhua Shang Yuanyuan Liu Hanghang Tong James Cheng Hong Cheng
+	Temporal Graph Traversals: Definitions, Algorithms, and Applications	2014	Silu Huang James Cheng Huanhuan Wu
+	IS-LABEL: an Independent-Set based Labeling Scheme for Point-to-Point Distance Querying on Large Graphs	2012	Ada Wai-Chee Fu Huanhuan Wu James Cheng Shumo Chu Raymond Chi-Wing Wong
+ PDF Chat	Truss decomposition in massive networks	2012	Jia Wang James Cheng
+	Truss Decomposition in Massive Networks	2012	Jia Wang James Cheng
+	K-Reach: Who is in Your Small World	2012	James Cheng Zechao Shang Hong Cheng Haixun Wang Jeffrey Xu Yu
+	IS-LABEL: an Independent-Set based Labeling Scheme for Point-to-Point Distance Querying on Large Graphs	2012	Ada Wai-Chee Fu Huanhuan Wu James Cheng Shumo Chu Raymond Chi-Wing Wong

Common Coauthors

Coauthor	Papers Together
Fanhua Shang	30
Kaiwen Zhou	23
Yuanyuan Liu	21
Yongqiang Chen	15
Xiao Yan	14
Xinyan Dai	13
Han Yang	11
Binghui Xie	9
Da Yan	9
Bo Han	8
Yatao Bian	8
Hongzhi Chen	8
Kelvin K. W. Ng	7
Yuzhen Huang	5
Yan Xiao	5
Zhenkun Cai	5
Licheng Jiao	5
Kaiwen Zhou	5
Kaili Ma	5
Huanhuan Wu	5
Jie Liu	4
Ming-Chang Yang	4
Anthony Man–Cho So	4
Bo Han	4
Hong Cheng	4
Meng Wei	4
Hong Cheng	4
Wilfred Ng	3
Kaili Ma	3
Changji Li	3
Hanghang Tong	3
Yi Lu	3
Yuichi Yoshida	3
Yifan Hou	3
Zhi‐Quan Luo	3
Yitong Meng	3
Chenhan Jin	2
Lijun Zhang	2
Kaihao Ma	2
Ruize Gao	2
Zhouchen Lin	2
Jia Wang	2
Jiaqi Wang	2
Jinfeng Li	2
Fan Yu	2
Dacheng Tao	2
M. TAMER ÖZSU	2
Barakeel Fanseu Kamhoua	2
Yonggang Zhang	2
Qinghua Ding	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A Singular Value Thresholding Algorithm for Matrix Completion	2010	Jian‐Feng Cai Emmanuel J. Candès Zuowei Shen	13
+ PDF Chat	Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization	2010	Benjamin Recht Maryam Fazel Pablo A. Parrilo	9
+	Tensor Decompositions and Applications	2009	Tamara G. Kolda Brett W. Bader	8
+	Introductory Lectures on Convex Optimization: A Basic Course	2014	Ю Е Нестеров	8
+	A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets	2012	Nicolas Le Roux Mark Schmidt Francis Bach	8
+ PDF Chat	A Multilinear Singular Value Decomposition	2000	Lieven De Lathauwer Bart De Moor Joos Vandewalle	7
+	Scalable Tensor Factorizations with Missing Data	2010	Evrim Acar Daniel Dunlavy Tamara G. Kolda Morten Mørup	7
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	7
+	Proximal alternating linearized minimization for nonconvex and nonsmooth problems	2013	Jérôme Bolte Shoham Sabach Marc Teboulle	6
+	SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives	2014	Aaron Defazio Francis Bach Simon Lacoste-Julien	6
+	Spectral Regularization Algorithms for Learning Large Incomplete Matrices.	2010	Rahul Mazumder Trevor Hastie Robert Tibshirani	6
+ PDF Chat	A Proximal Stochastic Gradient Method with Progressive Variance Reduction	2014	Lin Xiao Tong Zhang	6
+	Accelerated Stochastic Mirror Descent Algorithms For Composite Non-strongly Convex Optimization	2016	Le Thi Khanh Hien Cuong V. Nguyen Huan Xu Canyi Lu Jiashi Feng	6
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	6
+ PDF Chat	Maximum inner-product search using cone trees	2012	Parikshit Ram Alexander Gray	6
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	6
+ PDF Chat	Learning with tensors: a framework based on convex optimization and spectral regularization	2013	Marco Signoretto Quoc Tran Dinh Lieven De Lathauwer Johan A. K. Suykens	6
+ PDF Chat	A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography	2012	Oleg Kuybeda Gabriel A. Frank Alberto Bartesaghi Mario J. Borgnia Sriram Subramaniam Guillermo Sapiro	6
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	6
+	Fast Graph Representation Learning with PyTorch Geometric	2019	Matthias Fey Jan Eric Lenssen	5
+	Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-model factor analysis	1970	Richard A. Harshman	5
+ PDF Chat	Robust Low-Rank Tensor Recovery: Models and Algorithms	2014	Donald Goldfarb Zhiwei Qin	5
+ PDF Chat	Matrix completion from a few entries	2009	Raghunandan H. Keshavan Sewoong Oh Andrea Montanari	5
+ PDF Chat	Most Tensor Problems Are NP-Hard	2013	Christopher J. Hillar Lek‐Heng Lim	5
+ PDF Chat	Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion	2014	Yuanyuan Liu Fanhua Shang Hong Cheng James Cheng Hanghang Tong	5
+ PDF Chat	Tensor factorization using auxiliary information	2012	Atsuhiro Narita Kohei Hayashi Ryota Tomioka Hisashi Kashima	5
+	Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion	2014	Yuanyuan Liu Fanhua Shang Wei Fan James Cheng Hong Cheng	5
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	5
+	Convex Tensor Decomposition via Structured Schatten Norm Regularization	2013	Ryota Tomioka Taiji Suzuki	5
+	How Powerful are Graph Neural Networks?	2018	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	5
+	Simplifying Graph Convolutional Networks	2019	Felix Wu Tianyi Zhang Amauri H. Souza Christopher Fifty Tao Yu Kilian Q. Weinberger	4
+ PDF Chat	Image-Based Recommendations on Styles and Substitutes	2015	Julian McAuley Christopher Targett Qinfeng Shi Anton van den Hengel	4
+	Pitfalls of Graph Neural Network Evaluation	2018	Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann	4
+	Revisiting Graph Neural Networks: All We Have is Low-Pass Filters	2019	Hoang Nt Takanori Maehara	4
+	Generalized Higher-Order Tensor Decomposition via Parallel ADMM	2014	Fanhua Shang Yuanyuan Liu James Cheng	4
+	On the Best Rank-1 and Rank-(<i>R</i><sub>1</sub> ,<i>R</i><sub>2</sub> ,. . .,<i>R<sub>N</sub></i>) Approximation of Higher-Order Tensors	2000	Lieven De Lathauwer Bart De Moor Joos Vandewalle	4
+ PDF Chat	Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization	2014	Shai Shalev‐Shwartz Tong Zhang	4
+	Dimensionality reduction in higher-order signal processing and rank-(R1,R2,…,RN) reduction in multilinear algebra	2004	Lieven De Lathauwer Joos Vandewalle	4
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+ PDF Chat	Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting	2015	Jakub Konečný Jie Liu Peter Richtárik Martin Takáč	4
+	Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)	2014	Anshumali Shrivastava Ping Li	4
+	Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation	2011	Zhouchen Lin Risheng Liu Zhixun Su	4
+ PDF Chat	Smooth minimization of non-smooth functions	2004	Yu. Nesterov	4
+	Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization	2016	Fanhua Shang Yuanyuan Liu James Cheng	4
+	Statistical Performance of Convex Tensor Decomposition	2011	Ryota Tomioka Taiji Suzuki Kohei Hayashi Hisashi Kashima	4
+	Applications of tensor (multiway array) factorizations and decompositions in data mining	2011	Morten Mørup	4
+	Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery	2014	Cun Mu Bo Huang John Wright Donald Goldfarb	4
+ PDF Chat	Nearly unbiased variable selection under minimax concave penalty	2010	Cun‐Hui Zhang	4
+ PDF Chat	A rank minimization heuristic with application to minimum order system approximation	2001	Maryam Fazel H. Hindi Stephen Boyd	4