Convolutional Imputation of Matrix Network. - Qingyun Sun; Mengyuan Yan; Stephen P. Boyd (CoRR, 2016)

Bayesian Opponent Exploitation in Imperfect-Information Games. - Sam Ganzfried; Qingyun Sun (AAAI Spring Symposia, 2018)

A PID Controller Approach for Stochastic Optimization of Deep Networks. - Wangpeng An; Haoqian Wang; Qingyun Sun; Jun Xu 019; Qionghai Dai; Lei Zhang 006 (CVPR, 2018)

Convolutional Imputation of Matrix Networks. - Qingyun Sun; Mengyuan Yan; David L. Donoho; Stephen P. Boyd (ICML, 2018)

Neural Proximal Gradient Descent for Compressive Imaging. - Morteza Mardani; Qingyun Sun; David L. Donoho; Vardan Papyan; Hatef Monajemi; Shreyas Vasanawala; John M. Pauly (NeurIPS, 2018)

A Method of Speaker Recognition for Small-scale Speakers Based on One-versus-rest and Neural Network. - Qingyun Sun; Linkai Luo; Hong Peng; Chaojie An (ICCSE, 2019)

Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory. - Huizhuo Yuan; Yuren Zhou; Chris Junchi Li; Qingyun Sun (ICML, 2019)

Degrees of Freedom Analysis of Unrolled Neural Networks. - Morteza Mardani; Qingyun Sun; Vardan Papyan; Shreyas Vasanawala; John M. Pauly; David L. Donoho (CoRR, 2019)

Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. - Qingyun Sun; Hao Peng 001; Jianxin Li 002; Senzhang Wang; Xiangyu Dong 002; Liangxuan Zhao; Philip S. Yu; Lifang He 001 (ICDM, 2020)

Stochastic Modified Equations for Continuous Limit of Stochastic ADMM. - Xiang Zhou; Huizhuo Yuan; Chris Junchi Li; Qingyun Sun (CoRR, 2020)

How to Close Sim-Real Gap? Transfer with Segmentation! - Mengyuan Yan; Qingyun Sun; Iuri Frosio; Stephen Tyree; Jan Kautz (CoRR, 2020)

GRAC: Self-Guided and Self-Regularized Actor-Critic. - Lin Shao 002; Yifan You; Mengyuan Yan; Qingyun Sun; Jeannette Bohg (CoRR, 2020)

PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks. - Haoqian Wang; Yi Luo; Wangpeng An; Qingyun Sun; Jun Xu 019; Lei Zhang 006 (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Recipe for Global Convergence Guarantee in Deep Neural Networks. - Kenji Kawaguchi; Qingyun Sun (AAAI, 2021)

GRAC: Self-Guided and Self-Regularized Actor-Critic. - Lin Shao 002; Yifan You; Mengyuan Yan; Shenli Yuan; Qingyun Sun; Jeannette Bohg (CoRL, 2021)

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. - Xingcheng Fu; Jianxin Li 002; Jia Wu 001; Qingyun Sun; Cheng Ji 001; Senzhang Wang; Jiajun Tan; Hao Peng 001; Philip S. Yu (ICDM, 2021)

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. - Qingyun Sun; Jianxin Li 002; Hao Peng 001; Jia Wu 001; Yuanxing Ning; Philip S. Yu; Lifang He 001 (WWW, 2021)

Rice nitrogen nutrition estimation with RGB images and machine learning methods. - Peihua Shi; Yuan Wang; Jianmin Xu; Yanling Zhao; Baolin Yang; Zhengqi Yuan; Qingyun Sun (Comput. Electron. Agric., 2021)

Convex Sparse Blind Deconvolution. - Qingyun Sun; David L. Donoho (CoRR, 2021)

Graph Structure Learning with Variational Information Bottleneck. - Qingyun Sun; Jianxin Li 002; Hao Peng 001; Jia Wu 001; Xingcheng Fu; Cheng Ji 001; Philip S. Yu (AAAI, 2022)

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. - Qingyun Sun; Jianxin Li 002; Haonan Yuan; Xingcheng Fu; Hao Peng 001; Cheng Ji 001; Qian Li 033; Philip S. Yu (CIKM, 2022)

Automating DBSCAN via Deep Reinforcement Learning. - Ruitong Zhang; Hao Peng 001; Yingtong Dou; Jia Wu 001; Qingyun Sun; Yangyang Li; Jingyi Zhang; Philip S. Yu (CIKM, 2022)

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. - Yuecen Wei; Xingcheng Fu; Qingyun Sun; Hao Peng 001; Jia Wu 001; Jinyan Wang; Xianxian Li (ICDM, 2022)

AIQoSer: Building the efficient Inference-QoS for AI Services. - Jianxin Li 002; Tianchen Zhu; Haoyi Zhou; Qingyun Sun; Chunyang Jiang; Shuai Zhang 026; Chunming Hu (IWQoS, 2022)

Curvature Graph Generative Adversarial Networks. - Jianxin Li 002; Xingcheng Fu; Qingyun Sun; Cheng Ji 001; Jiajun Tan; Jia Wu 001; Hao Peng 001 (WWW, 2022)

Automating DBSCAN via Deep Reinforcement Learning. - Ruitong Zhang; Hao Peng 001; Yingtong Dou; Jia Wu 001; Qingyun Sun; Jingyi Zhang; Philip S. Yu (CoRR, 2022)

Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. - Qingyun Sun; Jianxin Li 002; Beining Yang; Xingcheng Fu; Hao Peng 001; Philip S. Yu (AAAI, 2023)

Does Graph Distillation See Like Vision Dataset Counterpart? - Beining Yang; Kai Wang 036; Qingyun Sun; Cheng Ji 001; Xingcheng Fu; Hao Tang 005; Yang You 001; Jianxin Li 002 (NeurIPS, 2023)

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. - Haonan Yuan; Qingyun Sun; Xingcheng Fu; Ziwei Zhang 001; Cheng Ji 001; Hao Peng 001; Jianxin Li 002 (NeurIPS, 2023)

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. - Cheng Ji 001; Jianxin Li 002; Hao Peng 001; Jia Wu 001; Xingcheng Fu; Qingyun Sun; Philip S. Yu (WSDM, 2023)

Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. - Xingcheng Fu; Yuecen Wei; Qingyun Sun; Haonan Yuan; Jia Wu 001; Hao Peng 001; Jianxin Li 002 (WWW, 2023)

Precise influence evaluation in complex networks. - Bingyu Zhu; Qingyun Sun; Jianxin Li 002; Daqing Li (CoRR, 2023)

Adaptive curvature exploration geometric graph neural network. - Xingcheng Fu; Jianxin Li 002; Jia Wu 001; Jiawen Qin; Qingyun Sun; Cheng Ji 001; Senzhang Wang; Hao Peng 001; Philip S. Yu (Knowl. Inf. Syst., 2023)

Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining. - Jianxin Li 002; Qingyun Sun; Hao Peng 001; Beining Yang; Jia Wu 001; Philip S. Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. - Qian Li 033; Jianxin Li 002; Lihong Wang; Cheng Ji 001; Yiming Hei; Jiawei Sheng; Qingyun Sun; Shan Xue 001; Pengtao Xie (ACM Trans. Web, 2023)

Heterogeneous graph neural network with semantic-aware differential privacy guarantees. - Yuecen Wei; Xingcheng Fu; Dongqi Yan; Qingyun Sun; Hao Peng 001; Jia Wu 001; Jinyan Wang; Xianxian Li (Knowl. Inf. Syst., 2023)

Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding. - Cheng Ji 001; Tao Zhao; Qingyun Sun; Xingcheng Fu; Jianxin Li 002 (Pattern Recognit., 2023)

A Robust and Generalized Framework for Adversarial Graph Embedding. - Jianxin Li 002; Xingcheng Fu; Shijie Zhu; Hao Peng 001; Senzhang Wang; Qingyun Sun; Philip S. Yu; Lifang He 001 (IEEE Trans. Knowl. Data Eng., 2023)

ReGCL: Rethinking Message Passing in Graph Contrastive Learning. - Cheng Ji 001; Zixuan Huang; Qingyun Sun; Hao Peng 001; Xingcheng Fu; Qian Li 033; Jianxin Li 002 (AAAI, 2024)

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. - Yuecen Wei; Haonan Yuan; Xingcheng Fu; Qingyun Sun; Hao Peng 001; Xianxian Li; Chunming Hu (AAAI, 2024)

Critical Structure-aware Graph Neural Networks. - Qingyun Sun (ACM TUR-C, 2024)

ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection. - Ziqi Yuan; Haoyi Zhou; Qingyun Sun; Jianxin Li 002 (APWeb/WAIM (4), 2024)

L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection. - Ziqin Zhu; Xutan Peng; Qian Li 033; Cheng Ji 001; Qingyun Sun; Jianxin Li 002 (CIKM, 2024)

Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph. - Feihong Lu; Xiaocui Yang; Qian Li 033; Qingyun Sun; Ke Jiang; Cheng Ji 001; Jianxin Li 002 (LREC/COLING, 2024)

Hyperbolic Geometric Latent Diffusion Model for Graph Generation. - Xingcheng Fu; Yisen Gao; Yuecen Wei; Qingyun Sun; Hao Peng 001; Jianxin Li 002; Xianxian Li (ICML, 2024)

Miko: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery. - Feihong Lu; Weiqi Wang 001; Yangyifei Luo; Ziqin Zhu; Qingyun Sun; Baixuan Xu; Haochen Shi; Shiqi Gao; Qian Li 033; Yangqiu Song; Jianxin Li 002 (ACM Multimedia, 2024)

GC-Bench: An Open and Unified Benchmark for Graph Condensation. - Qingyun Sun; Ziying Chen; Beining Yang; Cheng Ji 001; Xingcheng Fu; Sheng Zhou 004; Hao Peng 001; Jianxin Li 002; Philip S. Yu (NeurIPS, 2024)

MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies. - Ziqi Yuan; Qingyun Sun; Haoyi Zhou; Zukun Zhu; Jianxin Li 002 (SDM, 2024)

Dynamic Graph Information Bottleneck. - Haonan Yuan; Qingyun Sun; Xingcheng Fu; Cheng Ji 001; Jianxin Li 002 (WWW, 2024)

Motif-driven Subgraph Structure Learning for Graph Classification. - Zhiyao Zhou; Sheng Zhou 004; Bochao Mao; Jiawei Chen 007; Qingyun Sun; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2024)

Beyond Human Preferences: Exploring Reinforcement Learning Trajectory Evaluation and Improvement through LLMs. - Zichao Shen; Tianchen Zhu; Qingyun Sun; Shiqi Gao; Jianxin Li 002 (CoRR, 2024)

Scaling Law Hypothesis for Multimodal Model. - Qingyun Sun; Zhen Guo (CoRR, 2024)

CausalFD: causal invariance-based fraud detection against camouflaged preference. - Yudan Song; Yuecen Wei; Haonan Yuan; Qingyun Sun; Xingcheng Fu; Li-e Wang 001; Xianxian Li (Int. J. Mach. Learn. Cybern., 2024)

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck. - Xingcheng Fu; Yisen Gao; Beining Yang; Yuxuan Wu; Haodong Qian; Qingyun Sun; Xianxian Li (AAAI, 2025)

Discrete Curvature Graph Information Bottleneck. - Xingcheng Fu; Jian Wang; Yisen Gao; Qingyun Sun; Haonan Yuan; Jianxin Li 002; Xianxian Li (AAAI, 2025)

GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. - Zihao Guo; Qingyun Sun; Haonan Yuan; Xingcheng Fu; Min Zhou; Yisen Gao; Jianxin Li 002 (AAAI, 2025)

Prompt-based Unifying Inference Attack on Graph Neural Networks. - Yuecen Wei; Xingcheng Fu; Lingyun Liu; Qingyun Sun; Hao Peng 001; Chunming Hu (AAAI, 2025)

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. - Haonan Yuan; Qingyun Sun; Zhaonan Wang 005; Xingcheng Fu; Cheng Ji 001; Yongjian Wang; Bo Jin; Jianxin Li 002 (AAAI, 2025)

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? - Ziming Wang; Zeyu Shi; Haoyi Zhou; Shiqi Gao; Qingyun Sun; Jianxin Li 002 (ACL (1), 2025)

VLM-PI: Power Inspection System Based on Visual Large Models. - Guang Li; Chenlin Wang; Qingyun Sun; Zhuohang Chen; Haoran Wang (CSCWD, 2025)

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. - Jiawen Qin; Haonan Yuan; Qingyun Sun; Lyujin Xu; Jiaqi Yuan; Pengfeng Huang; Zhaonan Wang 005; Xingcheng Fu; Hao Peng 001; Jianxin Li 002; Philip S. Yu (ICLR, 2025)

ST-GCond: Self-supervised and Transferable Graph Dataset Condensation. - Beining Yang; Qingyun Sun; Cheng Ji 001; Xingcheng Fu; Jianxin Li 002 (ICLR, 2025)

Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. - Jiawen Qin; Pengfeng Huang; Qingyun Sun; Cheng Ji 001; Xingcheng Fu; Jianxin Li 002 (WSDM, 2025)

Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification. - Jiayi Luo; Qingyun Sun; Haonan Yuan; Xingcheng Fu; Jianxin Li 002 (WWW, 2025)

Augmenting sparse behavior data for user identity linkage with self-generated by model and mixup-generated samples. - Hongren Huang; Jianxin Li 002; Feihong Lu; Lihong Wang; Qian Li 033; Qingyun Sun (Neural Networks, 2025)

BotUmc: An Uncertainty-Aware Twitter Bot Detection with Multi-view Causal Inference. - Tao Yang; Yang Hu; Feihong Lu; Ziwei Zhang 001; Qingyun Sun; Jianxin Li 002 (CoRR, 2025)

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks. - Jinyan Wang; Liu Yang; Yuecen Wei; Jiaxuan Si; Chenhao Guo; Qingyun Sun; Xianxian Li; Xingcheng Fu (CoRR, 2025)

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs. - Yisen Gao; Jiaxin Bai; Tianshi Zheng; Qingyun Sun; Ziwei Zhang 001; Jianxin Li 002; Yangqiu Song; Xingcheng Fu (CoRR, 2025)

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. - Yudan Song; Yuecen Wei; Yuhang Lu; Qingyun Sun; Minglai Shao 001; Li-e Wang; Chunming Hu; Xianxian Li; Xingcheng Fu (CoRR, 2025)

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning. - Qingyun Sun; Jiaqi Yuan; Shan He; Xiao Guan; Haonan Yuan; Xingcheng Fu; Jianxin Li 002; Philip S. Yu (CoRR, 2025)

A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models. - Ziqi Yuan; Qingyun Sun; Haoyi Zhou; Minglai Shao 001; Xingcheng Fu (Int. J. Mach. Learn. Cybern., 2025)

Hierarchical Text Classification Optimization via Structural Entropy and Singular Smoothing. - Qitong Liu; Hao Peng 001; Xiang Huang; Zhifeng Hao; Qingyun Sun; Zhengtao Yu 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)