Qingyun Sun

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All published works

Action	Title	Year	Authors
+ PDF Chat	Discrete Curvature Graph Information Bottleneck	2024	Xingcheng Fu Jian Wang Yisen Gao Qingyun Sun Haonan Yuan Jianxin Li Xianxian Li
+ PDF Chat	Prompt-based Unifying Inference Attack on Graph Neural Networks	2024	Yuecen Wei Xingcheng Fu Lingyun Liu Qingyun Sun Hao Peng Chunming Hu
+ PDF Chat	GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts	2024	Zihao Guo Qingyun Sun Haonan Yuan Xingcheng Fu Min Zhou Yue Gao Jianxin Li
+ PDF Chat	Scaling Law Hypothesis for Multimodal Model	2024	Qingyun Sun Zhen Guo
+ PDF Chat	Beyond Human Preferences: Exploring Reinforcement Learning Trajectory Evaluation and Improvement through LLMs	2024	Zichao Shen Tianchen Zhu Qingyun Sun Shiqi Gao Jianxin Li
+ PDF Chat	Motif-driven Subgraph Structure Learning for Graph Classification	2024	Zhiyao Zhou Sheng Zhou Bochao Mao Jiawei Chen Qingyun Sun Yan Feng Chun Chen Can Wang
+ PDF Chat	Dynamic Graph Information Bottleneck	2024	Haonan Yuan Qingyun Sun Xingcheng Fu Cheng Ji Jianxin Li
+ PDF Chat	Hyperbolic Geometric Latent Diffusion Model for Graph Generation	2024	Xingcheng Fu Yisen Gao Yuecen Wei Qingyun Sun Hao Peng Jianxin Li Xianxian Li
+ PDF Chat	Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding	2024	Yuecen Wei Haonan Yuan Xingcheng Fu Qingyun Sun Hao Peng Xianxian Li Chunming Hu
+ PDF Chat	Dynamic Graph Information Bottleneck	2024	Haonan Yuan Qingyun Sun Xingcheng Fu Cheng Ji Jianxin Li
+ PDF Chat	Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information	2023	Qingyun Sun Jianxin Li Beining Yang Xingcheng Fu Hao Peng Philip S. Yu
+ PDF Chat	Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification	2023	Xingcheng Fu Yuecen Wei Qingyun Sun Haonan Yuan Jia Wu Hao Peng Jianxin Li
+	Unbiased and Efficient Self-Supervised Incremental Contrastive Learning	2023	Cheng Ji Jianxin Li Hao Peng Jia Wu Xingcheng Fu Qingyun Sun Philip S. Yu
+	Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems	2023	Qian Li Jianxin Li Lihong Wang Cheng Ji Yiming Hei Jiawei Sheng Qingyun Sun Shan Xue Pengtao Xie
+ PDF Chat	A Robust and Generalized Framework for Adversarial Graph Embedding	2023	Jianxin Li Xingcheng Fu Shijie Zhu Hao Peng Senzhang Wang Qingyun Sun Philip S. Yu Lifang He
+	Self-organization Preserved Graph Structure Learning with Principle of Relevant Information	2023	Qingyun Sun Jianxin Li Beining Yang Xingcheng Fu Hao Peng Philip S. Yu
+	Unbiased and Efficient Self-Supervised Incremental Contrastive Learning	2023	Cheng Ji Jianxin Li Hao Peng Jia Wu Xingcheng Fu Qingyun Sun P.S. Yu
+	Does Graph Distillation See Like Vision Dataset Counterpart?	2023	Beining Yang Kai Wang Qingyun Sun Ji Cheng Xingcheng Fu Hao Tang Yang You Jianxin Li
+	Precise influence evaluation in complex networks	2023	Bingyu Zhu Qingyun Sun Jianxin Li Daqing Li
+	Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization	2023	Haonan Yuan Qingyun Sun Xingcheng Fu Ziwei Zhang Cheng Ji Hao Peng Jianxin Li
+	Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding	2023	Yuecen Wei Haonan Yuan Xingcheng Fu Qingyun Sun Hao Peng Xianxian Li Chunming Hu
+ PDF Chat	Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation	2022	Yuecen Wei Xingcheng Fu Qingyun Sun Hao Peng Jia Wu Jinyan Wang Xianxian Li
+ PDF Chat	Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing	2022	Qingyun Sun Jianxin Li Haonan Yuan Xingcheng Fu Hao Peng Cheng Ji Qian Li Philip S. Yu
+ PDF Chat	Automating DBSCAN via Deep Reinforcement Learning	2022	Ruitong Zhang Hao Peng Yingtong Dou Jia Wu Qingyun Sun Yangyang Li Jingyi Zhang Philip S. Yu
+ PDF Chat	Graph Structure Learning with Variational Information Bottleneck	2022	Qingyun Sun Jianxin Li Hao Peng Jia Wu Xingcheng Fu Cheng Ji Philip S. Yu
+ PDF Chat	Curvature Graph Generative Adversarial Networks	2022	Jianxin Li Xingcheng Fu Qingyun Sun Cheng Ji Jiajun Tan Jia Wu Hao Peng
+	Curvature Graph Generative Adversarial Networks	2022	Jianxin Li Xingcheng Fu Qingyun Sun Cheng Ji Jiajun Tan Jia Wu Hao Peng
+	Automating DBSCAN via Deep Reinforcement Learning	2022	Ruitong Zhang Hao Peng Yingtong Dou Jia Wu Qingyun Sun Jingyi Zhang Philip S. Yu
+	Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation	2022	Yuecen Wei Xingcheng Fu Qingyun Sun Hao Peng Jia Wu Jinyan Wang Xianxian Li
+	Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems	2022	Qian Li Jianxin Li Lihong Wang Cheng Ji Yiming Hei Jiawei Sheng Qingyun Sun Shan Xue Pengtao Xie
+ PDF Chat	ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network	2021	Xingcheng Fu Jianxin Li Jia Wu Qingyun Sun Cheng Ji Senzhang Wang Jiajun Tan Hao Peng Philip S. Yu
+	ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network	2021	Xingcheng Fu Jianxin Li Jia Wu Qingyun Sun Cheng Ji Senzhang Wang Jiajun Tan Hao Peng Philip S. Yu
+ PDF Chat	A Recipe for Global Convergence Guarantee in Deep Neural Networks	2021	Kenji Kawaguchi Qingyun Sun
+ PDF Chat	SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism	2021	Qingyun Sun Jianxin Li Hao Peng Jia Wu Yuanxing Ning Philip S. Yu Lifang He
+	SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism	2021	Qingyun Sun Jianxin Li Hao Peng Jia Wu Yuanxing Ning P.S. Yu Lifang He
+	A Recipe for Global Convergence Guarantee in Deep Neural Networks	2021	Kenji Kawaguchi Qingyun Sun
+	A Robust and Generalized Framework for Adversarial Graph Embedding	2021	Jianxin Li Xingcheng Fu Hao Peng Senzhang Wang Shijie Zhu Qingyun Sun Philip S. Yu Lifang He
+	Convex Sparse Blind Deconvolution	2021	Qingyun Sun David L. Donoho
+	Graph Structure Learning with Variational Information Bottleneck	2021	Qingyun Sun Jianxin Li Hao Peng Jia Wu Xingcheng Fu Cheng Ji Philip S. Yu
+ PDF Chat	Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks	2020	Qingyun Sun Hao Peng Jianxin Li Senzhang Wang Xiangyun Dong Liangxuan Zhao Philip S. Yu Lifang He
+	Stochastic Modified Equations for Continuous Limit of Stochastic ADMM	2020	Xiang Zhou Huizhuo Yuan Chris Junchi Li Qingyun Sun
+	How to Close Sim-Real Gap? Transfer with Segmentation!	2020	Mengyuan Yan Qingyun Sun Iuri Frosio Stephen Tyree Jan Kautz
+	Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks	2020	Qingyun Sun Hao Peng Jianxin Li Senzhang Wang Xiangyu Dong Liangxuan Zhao Philip S. Yu Lifang He
+	GRAC: Self-Guided and Self-Regularized Actor-Critic	2020	Lin Shao Yifan You Mengyuan Yan Qingyun Sun Jeannette Bohg
+	Degrees of Freedom Analysis of Unrolled Neural Networks	2019	Morteza Mardani Qingyun Sun Vardan Papyan Shreyas S. Vasanawala John M. Pauly David L. Donoho
+	Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory	2019	Huizhuo Yuan Yuren Zhou Chris Junchi Li Qingyun Sun
+	Degrees of Freedom Analysis of Unrolled Neural Networks	2019	Morteza Mardani Qingyun Sun Vardan Papyan Shreyas S. Vasanawala John M. Pauly David L. Donoho
+	Distributional Robust Kelly Gambling	2018	Qingyun Sun Stephen Boyd
+ PDF Chat	Bayesian Opponent Exploitation in Imperfect-Information Games	2018	Sam Ganzfried Qingyun Sun
+	Neural Proximal Gradient Descent for Compressive Imaging	2018	Morteza Mardani Qingyun Sun Shreyas Vasawanala Vardan Papyan Hatef Monajemi John M. Pauly David L. Donoho
+	Distributional Robust Kelly Gambling: Optimal Strategy under Uncertainty in the Long-Run	2018	Qingyun Sun Stephen Boyd
+	Neural Proximal Gradient Descent for Compressive Imaging	2018	Morteza Mardani Qingyun Sun Shreyas Vasawanala Vardan Papyan Hatef Monajemi John M. Pauly David L. Donoho
+	Bayesian Opponent Exploitation in Imperfect-Information Games	2016	Sam Ganzfried Qingyun Sun
+	Convolutional Imputation of Matrix Networks	2016	Qingyun Sun Mengyuan Yan David Donoho Stephen Boyd
+	Bayesian Opponent Exploitation in Imperfect-Information Games	2016	Sam Ganzfried Qingyun Sun

Common Coauthors

Coauthor	Papers Together
Xingcheng Fu	26
Jianxin Li	19
Hao Peng	17
Philip S. Yu	15
Jia Wu	11
Jianxin Li	10
Haonan Yuan	9
Hao Peng	8
Yuecen Wei	7
Cheng Ji	7
Xianxian Li	6
Lifang He	6
Senzhang Wang	6
David L. Donoho	5
Morteza Mardani	4
Cheng Ji	4
John M. Pauly	4
Vardan Papyan	4
Jiajun Tan	3
Stephen Boyd	3
Sam Ganzfried	3
Qian Li	3
Beining Yang	3
Jia Wu	3
Yiming Hei	2
Yingtong Dou	2
Shreyas Vasawanala	2
Liangxuan Zhao	2
Chris Junchi Li	2
Hatef Monajemi	2
Shreyas S. Vasanawala	2
Pengtao Xie	2
Kenji Kawaguchi	2
Chunming Hu	2
Ruitong Zhang	2
Huizhuo Yuan	2
Yuanxing Ning	2
Lihong Wang	2
Jinyan Wang	2
Cheng Ji	2
Mengyuan Yan	2
Shan Xue	2
Yisen Gao	2
P.S. Yu	2
Jiawei Sheng	1
Bochao Mao	1
Chunming Hu	1
Lingyun Liu	1
Tianchen Zhu	1
Sheng Zhou	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism	2021	Qingyun Sun Jianxin Li Hao Peng Jia Wu Yuanxing Ning Philip S. Yu Lifang He	9
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	8
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	7
+	Graph Attention Networks	2017	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	6
+	A Comprehensive Survey on Graph Neural Networks	2020	Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu	6
+ PDF Chat	Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing	2022	Qingyun Sun Jianxin Li Haonan Yuan Xingcheng Fu Hao Peng Cheng Ji Qian Li Philip S. Yu	5
+ PDF Chat	Hyperbolic geometry of complex networks	2010	Dmitri Krioukov Fragkiskos Papadopoulos Maksim Kitsak Amin Vahdat Marián Boguñá	5
+ PDF Chat	Graph Structure Learning with Variational Information Bottleneck	2022	Qingyun Sun Jianxin Li Hao Peng Jia Wu Xingcheng Fu Cheng Ji Philip S. Yu	5
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	4
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	4
+ PDF Chat	Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs	2021	Li Sun Zhongbao Zhang Jiawei Zhang Feiyang Wang Hao Peng Sen Su Philip S. Yu	4
+ PDF Chat	Heterogeneous Graph Attention Network	2019	Xiao Wang Houye Ji Chuan Shi Bai Wang Yanfang Ye Peng Cui Philip S. Yu	4
+	Poincaré GloVe: Hyperbolic Word Embeddings	2018	Alexandru Țifrea Gary Bécigneul Octavian-Eugen Ganea	4
+ PDF Chat	Popularity versus similarity in growing networks	2012	Fragkiskos Papadopoulos Maksim Kitsak M. Ángeles Serrano Marián Boguñá Dmitri Krioukov	4
+	Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks	2019	Hao Peng Jianxin Li Qiran Gong Yangqiu Song Yuanxin Ning Kunfeng Lai Philip S. Yu	3
+	Heterogeneous Graph Transformer	2020	Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun	3
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	3
+	Hyperbolic Neural Networks	2018	Octavian-Eugen Ganea Gary Bécigneul Thomas Hofmann	3
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks	2021	Jianxin Li Hao Peng Yuwei Cao Yingtong Dou Hekai Zhang Philip S. Yu Lifang He	3
+ PDF Chat	Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	2021	Hao Peng Ruitong Zhang Yingtong Dou Renyu Yang Jingyi Zhang Philip S. Yu	3
+ PDF Chat	ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network	2021	Xingcheng Fu Jianxin Li Jia Wu Qingyun Sun Cheng Ji Senzhang Wang Jiajun Tan Hao Peng Philip S. Yu	3
+ PDF Chat	GCC	2020	Jiezhong Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang	3
+	Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings	2020	Yu Chen Lingfei Wu Mohammed J. Zaki	3
+ PDF Chat	Multi-Scale attributed node embedding	2021	Benedek Rózemberczki Carl Allen Rik Sarkar	3
+	Hyperbolic Graph Convolutional Neural Networks	2019	Ines Chami Rex Ying Christopher Ré Jure Leskovec	3
+	Ricci curvature of Markov chains on metric spaces	2008	Yann Ollivier	3
+	Heterogeneous Information Network Embedding for Recommendation	2018	Chuan Shi Binbin Hu Wayne Xin Zhao Philip S. Yu	3
+	Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification	2019	Hao Peng Jianxin Li Senzhang Wang Lihong Wang Qiran Gong Renyu Yang Bo Li Philip S. Yu Lifang He	3
+ PDF Chat	Adversarial Directed Graph Embedding	2021	Shijie Zhu Jianxin Li Hao Peng Senzhang Wang Lifang He	3
+	Adaptive activation functions accelerate convergence in deep and physics-informed neural networks	2019	Ameya D. Jagtap Kenji Kawaguchi George Em Karniadakis	2
+ PDF Chat	A survey on graph kernels	2020	Nils M. Kriege Fredrik Johansson Christopher Morris	2
+	Compressed Sensing using Generative Models	2017	Ashish Bora Ajil Jalal Eric Price Alexandros G. Dimakis	2
+ PDF Chat	Semi-Supervised Graph Classification: A Hierarchical Graph Perspective	2019	Jia Li Yu Rong Hong Cheng Helen Meng Wenbing Huang Junzhou Huang	2
+	Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit	2019	Mei Song Theodor Misiakiewicz Andrea Montanari	2
+	Proximal Algorithms	2013	Neal Parikh Stephen Boyd	2
+ PDF Chat	A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction	2017	Jo Schlemper José Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert	2
+	Robust Stochastic Approximation Approach to Stochastic Programming	2009	Arkadi Nemirovski Anatoli Juditsky Guanghui Lan Alexander Shapiro	2
+	On the Dangers of Cross-Validation. An Experimental Evaluation	2008	R. Bharat Rao Glenn Fung Rómer Rosales	2
+ PDF Chat	Effect of Depth and Width on Local Minima in Deep Learning	2019	Kenji Kawaguchi Jiaoyang Huang Leslie Pack Kaelbling	2
+	Optimal commitments in auctions with incomplete information	2015	Zihe Wang Pingzhong Tang	2
+	Deep Learning for Classical Japanese Literature	2018	Alex Lamb Asanobu Kitamoto David Ha Kazuaki Yamamoto Mikel Bober-Irizar Tarin Clanuwat	2
+ PDF Chat	Adversarial Training Methods for Network Embedding	2019	Quanyu Dai Xiao Shen Liang Zhang Q. Li Dan Wang	2
+	How Powerful are Graph Neural Networks?	2018	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	2
+	Deep Feature Learning for Graphs.	2017	Ryan A. Rossi Rong Zhou Nesreen K. Ahmed	2
+ PDF Chat	Name Disambiguation in Anonymized Graphs using Network Embedding	2017	Baichuan Zhang Mohammad Al Hasan	2
+ PDF Chat	Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs	2017	Martin Simonovsky Nikos Komodakis	2
+ PDF Chat	Graph R-CNN for Scene Graph Generation	2018	Jianwei Yang Jiasen Lu Stefan Lee Dhruv Batra Devi Parikh	2
+	Pitfalls of Graph Neural Network Evaluation	2018	Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann	2
+	The reusable holdout: Preserving validity in adaptive data analysis	2015	Cynthia Dwork Vitaly Feldman Moritz Hardt Toniann Pitassi Omer Reingold Aaron Roth	2