Quanming Yao

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All published works

Action	Title	Year	Authors
+	Topology‐aware tensor decomposition for meta‐graph learning	2025	Hansi Yang Quanming Yao
+ PDF Chat	Benchmarking Graph Learning for Drug-Drug Interaction Prediction	2024	Zhenqian Shen Mingyang Zhou Yongqi Zhang Quanming Yao
+ PDF Chat	Neural Symbolic Regression of Complex Network Dynamics	2024	Haiquan Qiu Shuzhi Liu Quanming Yao
+ PDF Chat	ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning	2024	Shiguang Wu Yaqing Wang Yatao Bian Quanming Yao
+ PDF Chat	Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions	2024	Yaqing Wang Hongming Piao Daxiang Dong Quanming Yao Jingbo Zhou
+ PDF Chat	Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction	2024	Juzheng Zhang Lanning Wei Zhen Xu Quanming Yao
+ PDF Chat	UniMoT: Unified Molecule-Text Language Model with Discrete Token Representation	2024	Juzheng Zhang Yatao Bian Yongqiang Chen Quanming Yao
+ PDF Chat	PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction	2024	Shiguang Wu Yaqing Wang Quanming Yao
+ PDF Chat	Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions	2024	Yaqing Wang Hongming Piao Daxiang Dong Quanming Yao Jingbo Zhou
+ PDF Chat	Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs	2024	Quanming Yao Yongqi Zhang Yaqing Wang Nan Yin James T. Kwok Qiang Yang
+ PDF Chat	Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph	2024	Guangyi Liu Yongqi Zhang Yong Li Quanming Yao
+ PDF Chat	Knowledge-Enhanced Recommendation with User-Centric Subgraph Network	2024	Guangyi Liu Quanming Yao Yongqi Zhang Lei Chen
+ PDF Chat	Robust Communicative Multi-Agent Reinforcement Learning with Active Defense	2024	Lebin Yu Yunbo Qiu Quanming Yao Yuan Shen Xudong Zhang Jian Wang
+ PDF Chat	Knowledge-Enhanced Recommendation with User-Centric Subgraph Network	2024	Guangyi Liu Quanming Yao Yongqi Zhang Lei Chen
+ PDF Chat	Graph Unitary Message Passing	2024	Haiquan Qiu Yatao Bian Quanming Yao
+ PDF Chat	Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs	2024	Zhanke Zhou Yongqi Zhang Jiangchao Yao Quanming Yao Bo Han
+ PDF Chat	Property-Aware Relation Networks for Few-Shot Molecular Property Prediction	2024	Quanming Yao Zhenqian Shen Yaqing Wang Dejing Dou
+	Positive-Unlabeled Node Classification with Structure-aware Graph Learning	2023	Hansi Yang Yongqi Zhang Quanming Yao James T. Kwok
+	Combining Self-Supervised and Supervised Learning with Noisy Labels	2023	Yongqi Zhang Hui Zhang Quanming Yao Jun Wan
+	Automated 3D Pre-Training for Molecular Property Prediction	2023	Xu Wang Huan Zhao Wei-Wei Tu Quanming Yao
+	AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning	2023	Yongqi Zhang Zhanke Zhou Quanming Yao Xiaowen Chu Bo Han
+ PDF Chat	Improving Zero-Shot Coordination Performance Based on Policy Similarity	2023	Lebin Yu Yunbo Qiu Quanming Yao Xudong Zhang Jian Wang
+ PDF Chat	Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification	2023	Lanning Wei Zhiqiang He Huan Zhao Quanming Yao
+ PDF Chat	ColdNAS: Search to Modulate for User Cold-Start Recommendation	2023	Shiguang Wu Yaqing Wang Qinghe Jing Daxiang Dong Dejing Dou Quanming Yao
+	Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI	2023	Hengjin Ke Dan Chen Quanming Yao Yunbo Tang Jia Wu Jessica J. M. Monaghan Paul F. Sowman David McAlpine
+ PDF Chat	LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization	2023	Huiming Chen Huandong Wang Quanming Yao Yong Li Depeng Jin Qiang Yang
+	Improving Zero-Shot Coordination Performance Based on Policy Similarity	2023	Lebin Yu Yunbo Qiu Quanming Yao Xudong Zhang Jian Wang
+	Combating Exacerbated Heterogeneity for Robust Models in Federated Learning	2023	Jianing Zhu Jiangchao Yao Tongliang Liu Quanming Yao Jianliang Xu Bo Han
+	Logical Expressiveness of Graph Neural Network for Knowledge Graph Reasoning	2023	Haiquan Qiu Yongqi Zhang Yong Li Quanming Yao
+	ColdNAS: Search to Modulate for User Cold-Start Recommendation	2023	Shiguang Wu Yaqing Wang Qinghe Jing Daxiang Dong Dejing Dou Quanming Yao
+	On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation	2023	Zhanke Zhou Chenyu Zhou Xuan Li Jiangchao Yao Quanming Yao Bo Han
+	Unleashing the Power of Graph Learning through LLM-based Autonomous Agents	2023	Lanning Wei Zhiqiang He Huan Zhao Quanming Yao
+	Relation-aware Ensemble Learning for Knowledge Graph Embedding	2023	Ling Yue Yongqi Zhang Quanming Yao Yongbo Li Xian Wu Ziheng Zhang Zhenxi Lin Yefeng Zheng
+	Ensemble Learning for Graph Neural Networks	2023	Zhen Hao Wong Ling Yue Quanming Yao
+	Combating Bilateral Edge Noise for Robust Link Prediction	2023	Zhanke Zhou Jiangchao Yao Jiaxu Liu Xiawei Guo Quanming Yao He Li Liang Wang Bo Zheng Bo Han
+	Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network	2023	Yongqi Zhang Quanming Yao Ling Yue Xian Wu Ziheng Zhang Zhenxi Lin Yefeng Zheng
+	Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning	2023	Yaqing Wang Zaifei Yang Quanming Yao
+ PDF Chat	Relation-aware Ensemble Learning for Knowledge Graph Embedding	2023	Ling Yue Yongqi Zhang Quanming Yao Yongbo Li Xian Wu Ziheng Zhang Zhenxi Lin Yefeng Zheng
+	Robust Communicative Multi-Agent Reinforcement Learning with Active Defense	2023	Lebin Yu Yunbo Qiu Quanming Yao Yuan Shen Xudong Zhang Jian Wang
+ PDF Chat	Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform	2022	Zhen Xu Sérgio Escalera Adrien Pavão Magali Richard Wei-Wei Tu Quanming Yao Huan Zhao Isabelle Guyon
+ PDF Chat	Knowledge Graph Reasoning with Relational Digraph	2022	Yongqi Zhang Quanming Yao
+ PDF Chat	Bilinear Scoring Function Search for Knowledge Graph Learning	2022	Yongqi Zhang Quanming Yao James T. Kwok
+ PDF Chat	Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking Platform	2022	Zhi Xu Sérgio Escalera Adrien Pavao Magali Richard Wei-Wei Tu Quanming Yao Huan Zhao Isabelle Guyon
+	Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020	2022	Zhen Xu Lanning Wei Huan Zhao Rex Ying Quanming Yao Wei-Wei Tu Isabelle Guyon
+	Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization	2022	Quanming Yao Yaqing Wang Bo Han James T. Kwok
+	Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search	2022	Xu Wang Huan Zhao Lanning Wei Quanming Yao
+	AutoWeird: Weird Translational Scoring Function Identified by Random Search	2022	Hansi Yang Yongqi Zhang Quanming Yao
+	DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction	2022	Yinfeng Li Chen Gao Quanming Yao Tong Li Depeng Jin Yong Li
+ PDF Chat	Searching a High Performance Feature Extractor for Text Recognition Network	2022	Hui Zhang Quanming Yao James T. Kwok Xiang Bai
+	Searching a High-Performance Feature Extractor for Text Recognition Network	2022	Hui Zhang Quanming Yao James T. Kwok Xiang Bai
+	Search to Pass Messages for Temporal Knowledge Graph Completion	2022	Zhen Wang Haotong Du Quanming Yao Xuelong Li
+	Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach	2022	Lanning Wei Zhiqiang He Huan Zhao Quanming Yao
+	AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning	2022	Yongqi Zhang Zhanke Zhou Quanming Yao Xiaowen Chu Bo Han
+	KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning	2022	Yongqi Zhang Zhanke Zhou Quanming Yao Yong Li
+	Search to Pass Messages for Temporal Knowledge Graph Completion	2022	Zhen Wang Haotong Du Quanming Yao Xuelong Li
+	Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series Analysis	2021	Yunbo Tang Dan Chen Yiping Zuo Xiaoqiang Lu Rajiv Ranjan Albert Y. Zomaya Quanming Yao Xiaoli Li
+	Automorphic Equivalence-aware Graph Neural Network.	2021	Fengli Xu Quanming Yao Pan Hui Yong Li
+ PDF Chat	Pooling Architecture Search for Graph Classification	2021	Lanning Wei Huan Zhao Quanming Yao Zhiqiang He
+ PDF Chat	DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks	2021	Yuhui Ding Quanming Yao Huan Zhao Tong Zhang
+	Knowledge Graph Reasoning with Relational Directed Graph	2021	Yongqi Zhang Quanming Yao
+ PDF Chat	Efficient Data-specific Model Search for Collaborative Filtering	2021	Chen Gao Quanming Yao Depeng Jin Yong Li
+	AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding.	2021	Yongqi Zhang Zhanke Zhou Quanming Yao
+ PDF Chat	Efficient Data-specific Model Search for Collaborative Filtering	2021	Chen Gao Quanming Yao Depeng Jin Yong Li
+ PDF Chat	Side Information Fusion for Recommender Systems over Heterogeneous Information Network	2021	Huan Zhao Quanming Yao Yangqiu Song James T. Kwok Dik Lun Lee
+ PDF Chat	Efficient Low-Rank Semidefinite Programming With Robust Loss Functions	2021	Quanming Yao Hansi Yang Enliang Hu James T. Kwok
+ PDF Chat	Role-Aware Modeling for N-ary Relational Knowledge Bases	2021	Yu Liu Quanming Yao Yong Li
+ PDF Chat	Searching to Sparsify Tensor Decomposition for N-ary Relational Data	2021	Shimin Di Quanming Yao Lei Chen
+ PDF Chat	Search to aggregate neighborhood for graph neural network	2021	Huan Zhao Quanming Yao Wei-Wei Tu
+ PDF Chat	Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding	2021	Shimin Di Quanming Yao Yongqi Zhang Lei Chen
+	Tensorizing Subgraph Search in the Supernet.	2021	Hansi Yang Quanming Yao James T. Kwok
+	Searching to Sparsify Tensor Decomposition for N-ary Relational Data	2021	Shimin Di Quanming Yao Lei Chen
+	Role-Aware Modeling for N-ary Relational Knowledge Bases	2021	Yu Liu Quanming Yao Yong Li
+	Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding	2021	Shimin Di Quanming Yao Yongqi Zhang Lei Chen
+	Search to aggregate neighborhood for graph neural network	2021	Huan Zhao Quanming Yao Wei-Wei Tu
+	Efficient Data-specific Model Search for Collaborative Filtering	2021	Chen Gao Quanming Yao Depeng Jin Yong Li
+	TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction	2021	Xiawei Guo Yuhan Quan Huan Zhao Quanming Yao Yong Li Wei-Wei Tu
+ PDF Chat	Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification	2021	Yaqing Wang Song Wang Quanming Yao Dejing Dou
+	Property-Aware Relation Networks for Few-Shot Molecular Property Prediction	2021	Yaqing Wang Abulikemu Abuduweili Quanming Yao Dejing Dou
+	Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification	2021	Yaqing Wang Song Wang Quanming Yao Dejing Dou
+	LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization	2021	Huiming Chen Huandong Wang Quanming Yao Yong Li Depeng Jin Qiang Yang
+	Bilinear Scoring Function Search for Knowledge Graph Learning	2021	Yongqi Zhang Quanming Yao James T. Kwok
+	Heterogeneous Graph-Based Multimodal Brain Network Learning	2021	Gen Shi Yifan Zhu Wenjin Liu Quanming Yao Xuesong Li
+	Topology-aware Tensor Decomposition for Meta-graph Learning	2021	Hansi Yang Peiyu Zhang Quanming Yao
+	Graph Neural Network with Automorphic Equivalence Filters.	2020	Fengli Xu Quanming Yao Pan Hui Yong Li
+ PDF Chat	Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration	2020	Wei He Quanming Yao Chao Li Naoto Yokoya Qibin Zhao Hongyan Zhang Liangpei Zhang
+	Propagation Model Search for Graph Neural Networks.	2020	Yuhui Ding Quanming Yao Tong Zhang
+	Simplifying Architecture Search for Graph Neural Network	2020	Huan Zhao Lanning Wei Quanming Yao
+	Efficient Low-Rank Matrix Learning by Factorizable Nonconvex Regularization.	2020	Yaqing Wang Quanming Yao James T. Kwok
+ PDF Chat	Efficient Neural Interaction Function Search for Collaborative Filtering	2020	Quanming Yao Xiangning Chen James T. Kwok Yong Li Cho‐Jui Hsieh
+ PDF Chat	Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases	2020	Yu Liu Quanming Yao Yong Li
+ PDF Chat	Efficient Neural Architecture Search via Proximal Iterations	2020	Quanming Yao Ju Xu Wei-Wei Tu Zhanxing Zhu
+ PDF Chat	AutoSF: Searching Scoring Functions for Knowledge Graph Embedding	2020	Yongqi Zhang Quanming Yao Wenyuan Dai Lei Chen
+	Efficient Backbone Search for Scene Text Recognition.	2020	Hui Zhang Quanming Yao Mingkun Yang Yongchao Xu Xiang Bai
+	Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases	2020	Yu Liu Quanming Yao Yong Li
+ PDF Chat	AutoSTR: Efficient Backbone Search for Scene Text Recognition	2020	Hui Zhang Quanming Yao Mingkun Yang Yongchao Xu Xiang Bai
+	Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering	2020	Jingtao Ding Yuhan Quan Quanming Yao Yong Li Depeng Jin
+	A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Completion	2020	Quanming Yao Yaqing Wang James T. Kwok
+	Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration	2020	Wei He Quanming Yao Chao Li Naoto Yokoya Qibin Zhao Hongyan Zhang Liangpei Zhang
+	Simplifying Architecture Search for Graph Neural Network	2020	Huan Zhao Lanning Wei Quanming Yao
+	Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding	2020	Yongqi Zhang Quanming Yao Lei Chen
+	Combining Self-Supervised and Supervised Learning with Noisy Labels	2020	Hui Zhang Quanming Yao
+	A Survey of Label-noise Representation Learning: Past, Present and Future	2020	Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama
+	Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering	2020	Jingtao Ding Yuhan Quan Quanming Yao Yong Li Depeng Jin
+	AutoSTR: Efficient Backbone Search for Scene Text Recognition	2020	Hui Zhang Quanming Yao Mingkun Yang Yongchao Xu Xiang Bai
+	Automorphic Equivalence-aware Graph Neural Network	2020	Fengli Xu Quanming Yao Pan Hui Yong Li
+	Neural Recurrent Structure Search for Knowledge Graph Embedding.	2019	Yongqi Zhang Quanming Yao Lei Chen
+	Robust Learning from Noisy Side-information by Semidefinite Programming	2019	Enliang Hu Quanming Yao
+	Searching for Interaction Functions in Collaborative Filtering	2019	Quanming Yao Xiangning Chen James T. Kwok Yong Li
+ PDF Chat	Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising	2019	Wei He Quanming Yao Chao Li Naoto Yokoya Qibin Zhao
+	Differentiable Neural Architecture Search via Proximal Iterations.	2019	Quanming Yao Ju Xu Wei-Wei Tu Zhanxing Zhu
+	Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations	2019	Quanming Yao James T. Kwok Bo Han
+	Robust Learning from Noisy Side-information by Semidefinite Programming	2019	Enliang Hu Quanming Yao
+ PDF Chat	NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding	2019	Yongqi Zhang Quanming Yao Yingxia Shao Lei Chen
+	Few-shot Learning: A Survey	2019	Yaqing Wang Quanming Yao
+	AutoSF: Searching Scoring Functions for Knowledge Graph Embedding	2019	Yongqi Zhang Quanming Yao Wenyuan Dai Lei Chen
+	AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications	2019	Yuanfei Luo Mengshuo Wang Hao Zhou Quanming Yao Wei-Wei Tu Yuqiang Chen Qiang Yang Wenyuan Dai
+	Generalizing from a Few Examples: A Survey on Few-Shot Learning	2019	Yaqing Wang Quanming Yao James T. Kwok Lionel M. Ni
+	Searching to Exploit Memorization Effect in Learning from Corrupted Labels	2019	Hansi Yang Quanming Yao Bo Han Gang Niu
+	Efficient Neural Architecture Search via Proximal Iterations	2019	Quanming Yao Ju Xu Wei-Wei Tu Zhanxing Zhu
+	Efficient Neural Interaction Function Search for Collaborative Filtering	2019	Quanming Yao Xiangning Chen James T. Kwok Yong Li Cho‐Jui Hsieh
+	Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding	2019	Yongqi Zhang Quanming Yao Lei Chen
+	Efficient Low-Rank Semidefinite Programming with Robust Loss Functions	2019	Quanming Yao Hangsi Yang Enliang Hu James T. Kwok
+	Privacy-preserving Transfer Learning for Knowledge Sharing.	2018	Xiawei Guo Quanming Yao Wei-Wei Tu Yuqiang Chen Wenyuan Dai Qiang Yang
+	Taking Human out of Learning Applications: A Survey on Automated Machine Learning	2018	Quanming Yao Mengshuo Wang Hugo Jair Escalante Isabelle Guyon Yi-Qi Hu Yufeng Li Wei-Wei Tu Qiang Yang Yu Yang
+ PDF Chat	Accelerated and Inexact Soft-Impute for Large-Scale Matrix and Tensor Completion	2018	Quanming Yao James T. Kwok
+	Scalable Tensor Completion with Nonconvex Regularization.	2018	Quanming Yao
+ PDF Chat	Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers	2018	Quanming Yao James T. Kwok Taifeng Wang Tie‐Yan Liu
+ PDF Chat	Scalable Online Convolutional Sparse Coding	2018	Yaqing Wang Quanming Yao James T. Kwok Lionel M. Ni
+	Online Convolutional Sparse Coding with Sample-Dependent Dictionary	2018	Yaqing Wang Quanming Yao James T. Kwok Lionel M. Ni
+	Co-sampling: Training Robust Networks for Extremely Noisy Supervision	2018	Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor W. Tsang Masashi Sugiyama
+	Learning with Heterogeneous Side Information Fusion for Recommender Systems.	2018	Huan Zhao Quanming Yao Yangqiu Song James T. Kwok Dik Lun Lee
+	Millionaire: A Hint-guided Approach for Crowdsourcing	2018	Bo Han Quanming Yao Yuangang Pan Ivor W. Tsang Xiaokui Xiao Qiang Yang Masashi Sugiyama
+	Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels	2018	Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor W. Tsang Masashi Sugiyama
+	Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising	2018	Wei He Quanming Yao Chao Li Naoto Yokoya Qibin Zhao
+	FasTer: Fast Tensor Completion with Nonconvex Regularization	2018	Quanming Yao James T. Kwok Bo Han
+	Differential Private Stack Generalization with an Application to Diabetes Prediction	2018	Quanming Yao Xiawei Guo James T. Kwok Wei-Wei Tu Yuqiang Chen Wenyuan Dai Qiang Yang
+	NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding	2018	Yongqi Zhang Quanming Yao Yingxia Shao Lei Chen
+	Online Convolutional Sparse Coding with Sample-Dependent Dictionary	2018	Yaqing Wang Quanming Yao James T. Kwok Lionel M. Ni
+	SIGUA: Forgetting May Make Learning with Noisy Labels More Robust	2018	Bo Han Gang Niu Xingrui Yu Quanming Yao Miao Xu Ivor W. Tsang Masashi Sugiyama
+	Side Information Fusion for Recommender Systems over Heterogeneous Information Network	2018	Huan Zhao Quanming Yao Yangqiu Song James T. Kwok Dik Lun Lee
+	Taking Human out of Learning Applications: A Survey on Automated Machine Learning	2018	Zhenqian Shen Yongqi Zhang Lanning Wei Huan Zhao Quanming Yao
+ PDF Chat	Collaborative Filtering with Social Local Models	2017	Huan Zhao Quanming Yao James T. Kwok Dik Lun Lee
+	Efficient Robust Matrix Factorization with Nonconvex Penalties.	2017	Quanming Yao
+	Efficient Robust Matrix Factorization with Nonconvex Loss	2017	Quanming Yao James T. Kwok
+	Scalable Robust Matrix Factorization with Nonconvex Loss.	2017	Quanming Yao James T. Kwok
+	Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems	2017	Quanming Yao James T. Kwok Fei Gao Wei Chen Tie‐Yan Liu
+	Online Convolutional Sparse Coding.	2017	Yaqing Wang Quanming Yao James T. Kwok Lionel M. Ni
+	Social Recommendation With Local Low Rank Matrix Approximation.	2017	Huan Zhao Quanming Yao Dik Lun Lee
+ PDF Chat	Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm	2017	Xiawei Guo Quanming Yao James T. Kwok
+	Accelerated and Inexact Soft-Impute for Large-Scale Matrix and Tensor Completion	2017	Quanming Yao James T. Kwok
+	Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers	2017	Quanming Yao James T. Kwok Taifeng Wang Tie‐Yan Liu
+	Scalable Robust Matrix Factorization with Nonconvex Loss	2017	Quanming Yao James T. Kwok
+	Collaborative Filtering with Social Local Models	2017	Huan Zhao Quanming Yao James T. Kwok Dik Lun Lee
+	More Efficient Accelerated Proximal Algorithm for Nonconvex Problems	2016	Quanming Yao James T. Kwok
+	Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity	2016	Quanming Yao James T. Kwok
+	Learning of Generalized Low-Rank Models: A Greedy Approach	2016	Quanming Yao James T. Kwok
+	Fast Learning with Nonconvex L1-2 Regularization	2016	Quanming Yao James T. Kwok Xiawei Guo
+	Loss-aware Binarization of Deep Networks	2016	Lu Hou Quanming Yao James T. Kwok
+	Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems	2016	Quanming Yao James T. Kwok Fei Gao Wei Chen Tie‐Yan Liu
+	Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity	2016	Quanming Yao James T. Kwok
+ PDF Chat	Fast Low-Rank Matrix Learning with Nonconvex Regularization	2015	Quanming Yao James T. Kwok Wenliang Zhong
+	Fast Low-Rank Matrix Learning with Nonconvex Regularization	2015	Quanming Yao James T. Kwok Wenliang Zhong

Common Coauthors

Coauthor	Papers Together
James T. Kwok	47
Yongqi Zhang	28
Yong Li	19
Huan Zhao	18
Yaqing Wang	17
Wei-Wei Tu	13
Lei Chen	11
Bo Han	11
Lanning Wei	10
Depeng Jin	8
Zhanke Zhou	7
Hansi Yang	7
Dik Lun Lee	6
Qiang Yang	6
Xiawei Guo	6
Ivor W. Tsang	5
Lionel M. Ni	5
Masashi Sugiyama	5
Xiang Bai	5
Wenyuan Dai	5
Gang Niu	5
Enliang Hu	4
Wei He	4
Dejing Dou	4
Zhiqiang He	4
Yunbo Qiu	4
Shimin Di	4
Hui Zhang	4
Ling Yue	4
Daxiang Dong	4
Naoto Yokoya	4
Tie‐Yan Liu	4
Lebin Yu	4
Qibin Zhao	4
Jiangchao Yao	4
Huan Zhao	3
Yuhan Quan	3
Guangyi Liu	3
Xingrui Yu	3
Ziheng Zhang	3
Ju Xu	3
Yatao Bian	3
Yangqiu Song	3
Zhanxing Zhu	3
Mingkun Yang	3
Yuqiang Chen	3
Xian Wu	3
Miao Xu	3
Fengli Xu	3
Yongchao Xu	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Taking Human out of Learning Applications: A Survey on Automated Machine Learning	2018	Quanming Yao Mengshuo Wang Hugo Jair Escalante Isabelle Guyon Yi-Qi Hu Yufeng Li Wei-Wei Tu Qiang Yang Yu Yang	32
+ PDF Chat	Efficient Neural Architecture Search via Proximal Iterations	2020	Quanming Yao Ju Xu Wei-Wei Tu Zhanxing Zhu	19
+ PDF Chat	Enhancing Sparsity by Reweighted ℓ 1 Minimization	2008	Emmanuel J. Candès Michael B. Wakin Stephen Boyd	19
+ PDF Chat	AutoSF: Searching Scoring Functions for Knowledge Graph Embedding	2020	Yongqi Zhang Quanming Yao Wenyuan Dai Lei Chen	18
+	Proximal Algorithms	2013	Neal Parikh Stephen Boyd	18
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	18
+	A Review of Relational Machine Learning for Knowledge Graphs	2015	Maximilian Nickel Kevin Murphy Volker Tresp Evgeniy Gabrilovich	17
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	16
+	Knowledge graph completion via complex tensor factorization	2017	Théo Trouillon Christopher R. Dance Éric Gaussier Johannes Welbl Sebastian Riedel Guillaume Bouchard	16
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	16
+	Analysis of Multi-stage Convex Relaxation for Sparse Regularization	2010	Tong Zhang	15
+	Embedding Entities and Relations for Learning and Inference in Knowledge Bases	2014	Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao Li Deng	15
+	Tensor Decompositions and Applications	2009	Tamara G. Kolda Brett W. Bader	15
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	14
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	14
+	How Powerful are Graph Neural Networks?	2018	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	14
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	13
+ PDF Chat	Convolutional 2D Knowledge Graph Embeddings	2017	Tim Dettmers Pasquale Minervini Pontus Stenetorp Sebastian Riedel	13
+	Canonical Tensor Decomposition for Knowledge Base Completion	2018	Timothée Lacroix Nicolas Usunier Guillaume Obozinski	13
+	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	13
+	Accelerated proximal gradient methods for nonconvex programming	2015	Huan Li Zhouchen Lin	13
+	Neural Architecture Search: A Survey	2019	Thomas Elsken Jan Hendrik Metzen Frank Hutter	12
+	Taking Human out of Learning Applications: A Survey on Automated Machine Learning	2018	Zhenqian Shen Yongqi Zhang Lanning Wei Huan Zhao Quanming Yao	12
+	TuckER: Tensor Factorization for Knowledge Graph Completion	2019	Ivana Balažević Carl Allen Timothy M. Hospedales	12
+	RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space	2019	Zhiqing Sun Zhihong Deng Jian‐Yun Nie Jian Tang	12
+	SNAS: Stochastic Neural Architecture Search	2018	Sirui Xie Hehui Zheng Chunxiao Liu Liang Lin	11
+ PDF Chat	Progressive Neural Architecture Search	2018	Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Hua Wei Li-Jia Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Murphy	11
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	11
+ PDF Chat	An overview of bilevel optimization	2007	Benoît Colson Patrice Marcotte Gilles Savard	10
+	SimplE embedding for link prediction in knowledge graphs	2018	Seyed Mehran Kazemi David Poole	10
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	10
+	Quaternion Knowledge Graph Embeddings	2019	Shuai Zhang Yi Tay Lina Yao Qi Liu	10
+ PDF Chat	Nearly unbiased variable selection under minimax concave penalty	2010	Cun‐Hui Zhang	10
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	10
+ PDF Chat	Convolutional 2D Knowledge Graph Embeddings	2018	Tim Dettmers Pasquale Minervini Pontus Stenetorp Sebastian Riedel	10
+	Spectral Regularization Algorithms for Learning Large Incomplete Matrices.	2010	Rahul Mazumder Trevor Hastie Robert Tibshirani	10
+	A Three-Way Model for Collective Learning on Multi-Relational Data	2011	Maximilian Nickel Volker Tresp Hans‐Peter Kriegel	10
+ PDF Chat	Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions	2011	Nathan Halko Per‐Gunnar Martinsson Joel A. Tropp	10
+	DARTS: Differentiable Architecture Search	2018	Hanxiao Liu Karen Simonyan Yiming Yang	9
+	Composition-based Multi-Relational Graph Convolutional Networks	2019	Shikhar Vashishth Soumya Sanyal Vikram Nitin Partha Talukdar	9
+ PDF Chat	NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding	2019	Yongqi Zhang Quanming Yao Yingxia Shao Lei Chen	9
+	Modeling Relational Data with Graph Convolutional Networks	2018	Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling	9
+ PDF Chat	Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion	2015	Zheng Wang Ming‐Jun Lai Zhaosong Lu Wei Fan Hasan Davulcu Jieping Ye	8
+	On Multi-Relational Link Prediction with Bilinear Models	2017	Yanjie Wang Rainer Gemulla Hui Li	8
+	Designing Neural Network Architectures using Reinforcement Learning	2016	Bowen Baker Otkrist Gupta Nikhil Naik Ramesh Raskar	8
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	8
+ PDF Chat	A Singular Value Thresholding Algorithm for Matrix Completion	2010	Jian‐Feng Cai Emmanuel J. Candès Zuowei Shen	8
+	Fast Graph Representation Learning with PyTorch Geometric	2019	Matthias Fey Jan Eric Lenssen	8
+ PDF Chat	Heterogeneous Graph Attention Network	2019	Xiao Wang Houye Ji Chuan Shi Bai Wang Yanfang Ye Peng Cui Philip S. Yu	8
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	8