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2020 – today
- 2024
[j9]Yudan Song, Yuecen Wei, Haonan Yuan, Qingyun Sun, Xingcheng Fu, Li-e Wang, Xianxian Li:
CausalFD: causal invariance-based fraud detection against camouflaged preference. Int. J. Mach. Learn. Cybern. 15(11): 5053-5070 (2024)- [c33]Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li:
ReGCL: Rethinking Message Passing in Graph Contrastive Learning. AAAI 2024: 8544-8552 - [c32]Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu:
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. AAAI 2024: 9160-9168 - [c31]Qingyun Sun
:
Critical Structure-aware Graph Neural Networks. ACM TUR-C 2024 - [c30]Ziqi Yuan, Haoyi Zhou, Qingyun Sun, Jianxin Li:
ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection. APWeb/WAIM (4) 2024: 465-480 - [c29]Ziqin Zhu, Xutan Peng, Qian Li, Cheng Ji, Qingyun Sun, Jianxin Li:
L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection. CIKM 2024: 3581-3590 - [c28]Feihong Lu, Xiaocui Yang, Qian Li, Qingyun Sun, Ke Jiang, Cheng Ji, Jianxin Li:
Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph. LREC/COLING 2024: 7208-7219 - [c27]Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li:
Hyperbolic Geometric Latent Diffusion Model for Graph Generation. ICML 2024 - [c26]Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, Jianxin Li:
Miko: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery. ACM Multimedia 2024: 3303-3312 - [c25]Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li:
MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies. SDM 2024: 661-669 - [c24]Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li:
Dynamic Graph Information Bottleneck. WWW 2024: 469-480 - [i36]Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li:
Dynamic Graph Information Bottleneck. CoRR abs/2402.06716 (2024) - [i35]Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, Jianxin Li:
MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery. CoRR abs/2402.18169 (2024) - [i34]Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li:
Hyperbolic Geometric Latent Diffusion Model for Graph Generation. CoRR abs/2405.03188 (2024) - [i33]Zhiyao Zhou, Sheng Zhou, Bochao Mao, Jiawei Chen, Qingyun Sun, Yan Feng, Chun Chen, Can Wang:
Motif-driven Subgraph Structure Learning for Graph Classification. CoRR abs/2406.08897 (2024) - [i32]Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu:
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. CoRR abs/2406.09870 (2024) - [i31]Zichao Shen, Tianchen Zhu, Qingyun Sun, Shiqi Gao, Jianxin Li:
Beyond Human Preferences: Exploring Reinforcement Learning Trajectory Evaluation and Improvement through LLMs. CoRR abs/2406.19644 (2024) - [i30]Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu:
GC-Bench: An Open and Unified Benchmark for Graph Condensation. CoRR abs/2407.00615 (2024) - [i29]Qingyun Sun, Zhen Guo:
Scaling Law Hypothesis for Multimodal Model. CoRR abs/2409.06754 (2024) - [i28]Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li:
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. CoRR abs/2412.08160 (2024) - [i27]Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li:
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. CoRR abs/2412.11085 (2024) - [i26]Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu:
Prompt-based Unifying Inference Attack on Graph Neural Networks. CoRR abs/2412.15735 (2024) - 2023
- [j8]Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu:
Adaptive curvature exploration geometric graph neural network. Knowl. Inf. Syst. 65(5): 2281-2304 (2023) - [j7]Yuecen Wei, Xingcheng Fu, Dongqi Yan, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li:
Heterogeneous graph neural network with semantic-aware differential privacy guarantees. Knowl. Inf. Syst. 65(10): 4085-4110 (2023) - [j6]Jianxin Li, Qingyun Sun, Hao Peng, Beining Yang, Jia Wu, Philip S. Yu:
Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8063-8080 (2023) - [j5]Cheng Ji, Tao Zhao, Qingyun Sun, Xingcheng Fu, Jianxin Li:
Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding. Pattern Recognit. 143: 109766 (2023) - [j4]Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He:
A Robust and Generalized Framework for Adversarial Graph Embedding. IEEE Trans. Knowl. Data Eng. 35(11): 11004-11018 (2023) - [j3]Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie:
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. ACM Trans. Web 17(3): 20:1-20:26 (2023) - [c23]Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. AAAI 2023: 4643-4651 - [c22]Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li:
Does Graph Distillation See Like Vision Dataset Counterpart? NeurIPS 2023 - [c21]Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li:
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. NeurIPS 2023 - [c20]Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. WSDM 2023: 922-930 - [c19]Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li:
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. WWW 2023: 460-468 - [i25]Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information. CoRR abs/2301.00015 (2023) - [i24]Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. CoRR abs/2301.12104 (2023) - [i23]Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li:
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. CoRR abs/2304.05059 (2023) - [i22]Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li:
Does Graph Distillation See Like Vision Dataset Counterpart? CoRR abs/2310.09192 (2023) - [i21]Bingyu Zhu, Qingyun Sun, Jianxin Li, Daqing Li:
Precise influence evaluation in complex networks. CoRR abs/2310.12181 (2023) - [i20]Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li:
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. CoRR abs/2311.11114 (2023) - [i19]Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu:
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. CoRR abs/2312.12183 (2023) - 2022
- [c18]Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu:
Graph Structure Learning with Variational Information Bottleneck. AAAI 2022: 4165-4174 - [c17]Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu:
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CIKM 2022: 1848-1857 - [c16]Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu:
Automating DBSCAN via Deep Reinforcement Learning. CIKM 2022: 2620-2630 - [c15]Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li:
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. ICDM 2022: 528-537 - [c14]Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chunming Hu:
AIQoSer: Building the efficient Inference-QoS for AI Services. IWQoS 2022: 1-10 - [c13]Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng:
Curvature Graph Generative Adversarial Networks. WWW 2022: 1528-1537 - [i18]Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng:
Curvature Graph Generative Adversarial Networks. CoRR abs/2203.01604 (2022) - [i17]Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu:
Automating DBSCAN via Deep Reinforcement Learning. CoRR abs/2208.04537 (2022) - [i16]Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu:
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CoRR abs/2208.08302 (2022) - [i15]Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li:
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. CoRR abs/2210.00538 (2022) - [i14]Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie:
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. CoRR abs/2211.08168 (2022) - 2021
- [j2]Peihua Shi, Yuan Wang, Jianmin Xu, Yanling Zhao, Baolin Yang, Zhengqi Yuan, Qingyun Sun:
Rice nitrogen nutrition estimation with RGB images and machine learning methods. Comput. Electron. Agric. 180: 105860 (2021) - [c12]Kenji Kawaguchi, Qingyun Sun:
A Recipe for Global Convergence Guarantee in Deep Neural Networks. AAAI 2021: 8074-8082 - [c11]Lin Shao, Yifan You, Mengyuan Yan, Shenli Yuan, Qingyun Sun, Jeannette Bohg:
GRAC: Self-Guided and Self-Regularized Actor-Critic. CoRL 2021: 267-276 - [c10]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. ICDM 2021: 111-120 - [c9]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. WWW 2021: 2081-2091 - [i13]Qingyun Sun, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He:
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. CoRR abs/2101.08170 (2021) - [i12]Kenji Kawaguchi, Qingyun Sun:
A Recipe for Global Convergence Guarantee in Deep Neural Networks. CoRR abs/2104.05785 (2021) - [i11]Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He:
A Robust and Generalized Framework for Adversarial Graph Embedding. CoRR abs/2105.10651 (2021) - [i10]Qingyun Sun, David L. Donoho:
Convex Sparse Blind Deconvolution. CoRR abs/2106.07053 (2021) - [i9]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. CoRR abs/2110.07888 (2021) - [i8]Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu:
Graph Structure Learning with Variational Information Bottleneck. CoRR abs/2112.08903 (2021) - 2020
- [j1]Haoqian Wang, Yi Luo, Wangpeng An, Qingyun Sun, Jun Xu, Lei Zhang:
PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5079-5091 (2020) - [c8]Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He:
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. ICDM 2020: 511-520 - [i7]Xiang Zhou, Huizhuo Yuan, Chris Junchi Li, Qingyun Sun:
Stochastic Modified Equations for Continuous Limit of Stochastic ADMM. CoRR abs/2003.03532 (2020) - [i6]Mengyuan Yan, Qingyun Sun, Iuri Frosio, Stephen Tyree, Jan Kautz:
How to Close Sim-Real Gap? Transfer with Segmentation! CoRR abs/2005.07695 (2020) - [i5]Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He:
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. CoRR abs/2008.13099 (2020) - [i4]Lin Shao, Yifan You, Mengyuan Yan, Qingyun Sun, Jeannette Bohg:
GRAC: Self-Guided and Self-Regularized Actor-Critic. CoRR abs/2009.08973 (2020)
2010 – 2019
- 2019
- [c7]Qingyun Sun, Linkai Luo, Hong Peng, Chaojie An:
A Method of Speaker Recognition for Small-scale Speakers Based on One-versus-rest and Neural Network. ICCSE 2019: 771-774 - [c6]Huizhuo Yuan, Yuren Zhou, Chris Junchi Li, Qingyun Sun:
Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory. ICML 2019: 7232-7241 - [i3]Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho:
Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR abs/1906.03742 (2019) - 2018
- [c5]Sam Ganzfried, Qingyun Sun:
Bayesian Opponent Exploitation in Imperfect-Information Games. AAAI Spring Symposia 2018 - [c4]Sam Ganzfried, Qingyun Sun:
Bayesian Opponent Exploitation in Imperfect-Information Games. CIG 2018: 1-8 - [c3]Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang:
A PID Controller Approach for Stochastic Optimization of Deep Networks. CVPR 2018: 8522-8531 - [c2]Qingyun Sun, Mengyuan Yan, David L. Donoho, Stephen P. Boyd:
Convolutional Imputation of Matrix Networks. ICML 2018: 4825-4834 - [c1]Morteza Mardani, Qingyun Sun, David L. Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John M. Pauly:
Neural Proximal Gradient Descent for Compressive Imaging. NeurIPS 2018: 9596-9606 - [i2]Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho:
Neural Proximal Gradient Descent for Compressive Imaging. CoRR abs/1806.03963 (2018) - 2016
- [i1]Qingyun Sun, Mengyuan Yan, Stephen P. Boyd:
Convolutional Imputation of Matrix Network. CoRR abs/1606.00925 (2016)
Coauthor Index
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