Qingyun Sun - RankMe

145 papers A* 44A 7B 1C 1Misc 1Journal 83Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgenticGEO: A Self-Evolving Agentic System for Generative Engine Optimization. CoRR Jiaqi Yuan, Jialu Wang, Zihan Wang, Qingyun Sun, Ruijie Wang, Jianxin Li
2026	J	`jnl`	Evolving Graph Learning for Out-of-Distribution Generalization in Non-Stationary Environments. IEEE Trans. Pattern Anal. Mach. Intell. Qingyun Sun, Jiayi Luo, Haonan Yuan, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2026	A*	`conf`	Fine-Tuned LLMs Know They Don't Know: A Parameter-Efficient Approach to Recovering Honesty. AAAI Zeyu Shi, Ziming Wang, Tianyu Chen, Shiqi Gao, Haoyi Zhou, Qingyun Sun, Jianxin Li
2026	A*	`conf`	Graph Diffusion Evolution Model for Multi-Conditional Molecular Generation. WWW Xingcheng Fu, Lingyun Liu, Yisen Gao, Tianyu Chen, Qingyun Sun, Jianxin Li, Xianxian Li
2026	A*	`conf`	GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning. WWW Chuanyue Yu, Kuo Zhao, Yuhan Li, Heng Chang, Mingjian Feng, Xiangzhe Jiang, Yufei Sun, Jia Li, Yuzhi Zhang, Qingyun Sun, Jianxin Li, Ziwei Zhang
2026	J	`jnl`	IMMix: Class-Imbalanced node classification via prototypical selective mixup augmentation. Pattern Recognit. Jiawen Qin, Qingyun Sun, Lyujin Xu, Cheng Ji, Jianxin Li
2026	A*	`conf`	Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning. AAAI Yi Huang, Qingyun Sun, Yisen Gao, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026	—	`conf`	Mitigating Privacy Risks in Graph Condensation from a Hyperbolic Geometry Perspective. KDD (1) Yuecen Wei, Liu Yang, Beining Yang, Qingyun Sun, Hao Peng, Tianyu Wo, Chunming Hu, Xingcheng Fu
2026	A*	`conf`	Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks. AAAI Jiayi Luo, Qingyun Sun, Yuecen Wei, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026	A*	`conf`	RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation. WWW Haonan Yuan, Qingyun Sun, Jiacheng Tao, Xingcheng Fu, Jianxin Li
2026	J	`jnl`	RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation. CoRR Haonan Yuan, Qingyun Sun, Jiacheng Tao, Xingcheng Fu, Jianxin Li
2026	J	`jnl`	Rethinking heterophilic graph learning via graph curvature. Knowl. Based Syst. Jian Wang, Xingcheng Fu, Qingyun Sun, Li-e Wang, Hao Peng, Jiting Li, Xianxian Li, Minglai Shao
2026	J	`jnl`	Retrieving Minimal and Sufficient Reasoning Subgraphs with Graph Foundation Models for Path-aware GraphRAG. CoRR Haonan Yuan, Qingyun Sun, Junhua Shi, Mingjun Liu, Jiaqi Yuan, Ziwei Zhang, Xingcheng Fu, Jianxin Li
2026	J	`jnl`	Rich-Media Re-Ranker: A User Satisfaction-Driven LLM Re-ranking Framework for Rich-Media Search. CoRR Zihao Guo, Ligang Zhou, Zeyang Tang, Feicheng Li, Ying Nie, Zhiming Peng, Qingyun Sun, Jianxin Li
2026	A*	`conf`	SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation. AAAI Junhua Shi, Qingyun Sun, Haonan Yuan, Xingcheng Fu
2026	A*	`conf`	Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models. AAAI Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026	A*	`conf`	Towards Geometry-Consistent Federated Graph Learning. WWW Yuecen Wei, Zhiyu Zhuang, Yisen Gao, Xingcheng Fu, Qingyun Sun, Ziwei Zhang, Tianyu Wo, Chunming Hu
2026	A*	`conf`	Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space. AAAI Xingcheng Fu, Shengpeng Wang, Yisen Gao, Xianxian Li, Chunpei Li, Qingyun Sun, Dongran Yu
2026	J	`jnl`	Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space. CoRR Xingcheng Fu, Shengpeng Wang, Yisen Gao, Xianxian Li, Chunpei Li, Qingyun Sun, Dongran Yu
2026	J	`jnl`	Training-Free Sparse Attention for Fast Video Generation via Offline Layer-Wise Sparsity Profiling and Online Bidirectional Co-Clustering. CoRR Jiayi Luo, Jiayu Chen, Jiankun Wang, Cong Wang, Hanxin Zhu, Qingyun Sun, Chen Gao, Zhibo Chen, Jianxin Li
2026	A*	`conf`	Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model. WWW Yisen Gao, Jiaxin Bai, Yi Huang, Xingcheng Fu, Qingyun Sun, Yangqiu Song
2026	J	`jnl`	Unlocking the Potentials of Retrieval-Augmented Generation for Diffusion Language Models. CoRR Chuanyue Yu, Jiahui Wang, Yuhan Li, Heng Chang, Ge Lan, Qingyun Sun, Jia Li, Jianxin Li, Ziwei Zhang
2026	J	`jnl`	Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts. CoRR Xinyu Zhao, Qingyun Sun, Jiayi Luo, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models. Int. J. Mach. Learn. Cybern. Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Minglai Shao, Xingcheng Fu
2025	J	`jnl`	Adaptive dynamic graphs for anomaly detection via inter- and intra-diffusion. Int. J. Mach. Learn. Cybern. Ziqi Yuan, Haoyi Zhou, Qingyun Sun
2025	A*	`conf`	An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks. IJCAI Jinyan Wang, Liu Yang, Yuecen Wei, Jiaxuan Si, Chenhao Guo, Qingyun Sun, Xianxian Li, Xingcheng Fu
2025	J	`jnl`	An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks. CoRR Jinyan Wang, Liu Yang, Yuecen Wei, Jiaxuan Si, Chenhao Guo, Qingyun Sun, Xianxian Li, Xingcheng Fu
2025	J	`jnl`	Augmenting sparse behavior data for user identity linkage with self-generated by model and mixup-generated samples. Neural Networks Hongren Huang, Jianxin Li, Feihong Lu, Lihong Wang, Qian Li, Qingyun Sun
2025	A*	`conf`	Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck. AAAI Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li
2025	J	`jnl`	BotUmc: An Uncertainty-Aware Twitter Bot Detection with Multi-view Causal Inference. CoRR Tao Yang, Yang Hu, Feihong Lu, Ziwei Zhang, Qingyun Sun, Jianxin Li
2025	J	`jnl`	Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs. CoRR Yisen Gao, Jiaxin Bai, Tianshi Zheng, Qingyun Sun, Ziwei Zhang, Jianxin Li, Yangqiu Song, Xingcheng Fu
2025	A*	`conf`	DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. AAAI Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li
2025	A*	`conf`	Discrete Curvature Graph Information Bottleneck. AAAI Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li
2025	J	`jnl`	DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning. CoRR Qingyun Sun, Jiaqi Yuan, Shan He, Xiao Guan, Haonan Yuan, Xingcheng Fu, Jianxin Li, Philip S. Yu
2025	J	`jnl`	Entropy-Based Active Learning for Precise Influence Evaluation in Complex Networks. IEEE Trans. Syst. Man Cybern. Syst. Bingyu Zhu, Qingyun Sun, Jianxin Li, Daqing Li
2025	J	`jnl`	Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments. CoRR Qingyun Sun, Jiayi Luo, Haonan Yuan, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2025	J	`jnl`	Fine-Tuned LLMs Know They Don't Know: A Parameter-Efficient Approach to Recovering Honesty. CoRR Zeyu Shi, Ziming Wang, Tianyu Chen, Shiqi Gao, Haoyi Zhou, Qingyun Sun, Jianxin Li
2025	A	`conf`	Frontiers in Graph Machine Learning for the Large Model Era. CIKM Qingyun Sun, Ziwei Zhang, Xingcheng Fu, Yangqiu Song, Jianxin Li, Philip S. Yu
2025	J	`jnl`	GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning. CoRR Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu
2025	A	`conf`	Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. WSDM Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation. CoRR Zihao Guo, Qingyun Sun, Ziwei Zhang, Haonan Yuan, Huiping Zhuang, Xingcheng Fu, Jianxin Li
2025	A*	`conf`	GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. AAAI Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li
2025	J	`jnl`	Hierarchical Text Classification Optimization via Structural Entropy and Singular Smoothing. IEEE Trans. Knowl. Data Eng. Qitong Liu, Hao Peng, Xiang Huang, Zhifeng Hao, Qingyun Sun, Zhengtao Yu, Philip S. Yu
2025	A*	`conf`	How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees. ICML Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu
2025	A*	`conf`	IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. ICLR Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2025	J	`jnl`	Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning. CoRR Yi Huang, Qingyun Sun, Yisen Gao, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	A*	`conf`	Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. IJCAI Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao, Li-e Wang, Chunming Hu, Xianxian Li, Xingcheng Fu
2025	J	`jnl`	Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. CoRR Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao, Li-e Wang, Chunming Hu, Xianxian Li, Xingcheng Fu
2025	A*	`conf`	OS-GCL: A One-Shot Learner in Graph Contrastive Learning. IJCAI Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks. CoRR Jiayi Luo, Qingyun Sun, Yuecen Wei, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	A*	`conf`	Prompt-based Unifying Inference Attack on Graph Neural Networks. AAAI Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu
2025	J	`jnl`	Robust Graph Condensation via Classification Complexity Mitigation. CoRR Jiayi Luo, Qingyun Sun, Beining Yang, Haonan Yuan, Xingcheng Fu, Yanbiao Ma, Jianxin Li, Philip S. Yu
2025	A*	`conf`	Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification. WWW Jiayi Luo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification. CoRR Jiayi Luo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	SA CoRR Junhua Shi, Qingyun Sun, Haonan Yuan, Xingcheng Fu
2025	J	`jnl`	SDA-PLANNER: State-Dependency Aware Adaptive Planner for Embodied Task Planning. CoRR Zichao Shen, Chen Gao, Jiaqi Yuan, Tianchen Zhu, Xingcheng Fu, Qingyun Sun
2025	A*	`conf`	ST-GCond: Self-supervised and Transferable Graph Dataset Condensation. ICLR Beining Yang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction. CoRR Yisen Gao, Xingcheng Fu, Qingyun Sun, Jianxin Li, Xianxian Li
2025	J	`jnl`	Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models. CoRR Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	—	`conf`	Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? ACL (1) Ziming Wang, Zeyu Shi, Haoyi Zhou, Shiqi Gao, Qingyun Sun, Jianxin Li
2025	J	`jnl`	Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? CoRR Ziming Wang, Zeyu Shi, Haoyi Zhou, Shiqi Gao, Qingyun Sun, Jianxin Li
2025	J	`jnl`	Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model. CoRR Yisen Gao, Jiaxin Bai, Yi Huang, Xingcheng Fu, Qingyun Sun, Yangqiu Song
2025	C	`conf`	VLM-PI: Power Inspection System Based on Visual Large Models. CSCWD Guang Li, Chenlin Wang, Qingyun Sun, Zhuohang Chen, Haoran Wang
2024	J	`jnl`	Beyond Human Preferences: Exploring Reinforcement Learning Trajectory Evaluation and Improvement through LLMs. CoRR Zichao Shen, Tianchen Zhu, Qingyun Sun, Shiqi Gao, Jianxin Li
2024	J	`jnl`	Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck. CoRR Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li
2024	J	`jnl`	CausalFD: causal invariance-based fraud detection against camouflaged preference. Int. J. Mach. Learn. Cybern. Yudan Song, Yuecen Wei, Haonan Yuan, Qingyun Sun, Xingcheng Fu, Li-e Wang, Xianxian Li
2024	—	`conf`	ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection. APWeb/WAIM (4) Ziqi Yuan, Haoyi Zhou, Qingyun Sun, Jianxin Li
2024	—	`conf`	Critical Structure-aware Graph Neural Networks. ACM TUR-C Qingyun Sun
2024	J	`jnl`	DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. CoRR Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li
2024	J	`jnl`	Discrete Curvature Graph Information Bottleneck. CoRR Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li
2024	A*	`conf`	Dynamic Graph Information Bottleneck. WWW Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li
2024	J	`jnl`	Dynamic Graph Information Bottleneck. CoRR Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li
2024	—	`conf`	Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph. LREC/COLING Feihong Lu, Xiaocui Yang, Qian Li, Qingyun Sun, Ke Jiang, Cheng Ji, Jianxin Li
2024	A*	`conf`	GC-Bench: An Open and Unified Benchmark for Graph Condensation. NeurIPS Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
2024	J	`jnl`	GC-Bench: An Open and Unified Benchmark for Graph Condensation. CoRR Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
2024	J	`jnl`	Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. CoRR Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
2024	J	`jnl`	GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. CoRR Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li
2024	A*	`conf`	Hyperbolic Geometric Latent Diffusion Model for Graph Generation. ICML Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li
2024	J	`jnl`	Hyperbolic Geometric Latent Diffusion Model for Graph Generation. CoRR Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li
2024	J	`jnl`	IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. CoRR Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2024	A	`conf`	L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection. CIKM Ziqin Zhu, Xutan Peng, Qian Li, Cheng Ji, Qingyun Sun, Jianxin Li
2024	J	`jnl`	MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery. CoRR Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, Jianxin Li
2024	A*	`conf`	Miko: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery. ACM Multimedia Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, Jianxin Li
2024	J	`jnl`	Motif-driven Subgraph Structure Learning for Graph Classification. CoRR Zhiyao Zhou, Sheng Zhou, Bochao Mao, Jiawei Chen, Qingyun Sun, Yan Feng, Chun Chen, Can Wang
2024	A	`conf`	MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies. SDM Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li
2024	A*	`conf`	Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. AAAI Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu
2024	J	`jnl`	Prompt-based Unifying Inference Attack on Graph Neural Networks. CoRR Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu
2024	A*	`conf`	ReGCL: Rethinking Message Passing in Graph Contrastive Learning. AAAI Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li
2024	J	`jnl`	Scaling Law Hypothesis for Multimodal Model. CoRR Qingyun Sun, Zhen Guo
2023	J	`jnl`	A Robust and Generalized Framework for Adversarial Graph Embedding. IEEE Trans. Knowl. Data Eng. Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He
2023	J	`jnl`	Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining. IEEE Trans. Pattern Anal. Mach. Intell. Jianxin Li, Qingyun Sun, Hao Peng, Beining Yang, Jia Wu, Philip S. Yu
2023	J	`jnl`	Adaptive curvature exploration geometric graph neural network. Knowl. Inf. Syst. Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu
2023	A*	`conf`	Does Graph Distillation See Like Vision Dataset Counterpart? NeurIPS Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
2023	J	`jnl`	Does Graph Distillation See Like Vision Dataset Counterpart? CoRR Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
2023	A*	`conf`	Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. NeurIPS Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
2023	J	`jnl`	Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. CoRR Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
2023	J	`jnl`	Heterogeneous graph neural network with semantic-aware differential privacy guarantees. Knowl. Inf. Syst. Yuecen Wei, Xingcheng Fu, Dongqi Yan, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
2023	J	`jnl`	Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding. Pattern Recognit. Cheng Ji, Tao Zhao, Qingyun Sun, Xingcheng Fu, Jianxin Li
2023	A*	`conf`	Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. WWW Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
2023	J	`jnl`	Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. CoRR Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
2023	J	`jnl`	Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. CoRR Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu
2023	J	`jnl`	Precise influence evaluation in complex networks. CoRR Bingyu Zhu, Qingyun Sun, Jianxin Li, Daqing Li
2023	A*	`conf`	Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. AAAI Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
2023	J	`jnl`	Self-organization Preserved Graph Structure Learning with Principle of Relevant Information. CoRR Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
2023	J	`jnl`	Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. ACM Trans. Web Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
2023	A	`conf`	Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. WSDM Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2023	J	`jnl`	Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. CoRR Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2022	B	`conf`	AIQoSer: Building the efficient Inference-QoS for AI Services. IWQoS Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chunming Hu
2022	A	`conf`	Automating DBSCAN via Deep Reinforcement Learning. CIKM Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu
2022	J	`jnl`	Automating DBSCAN via Deep Reinforcement Learning. CoRR Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu
2022	A*	`conf`	Curvature Graph Generative Adversarial Networks. WWW Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
2022	J	`jnl`	Curvature Graph Generative Adversarial Networks. CoRR Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
2022	A*	`conf`	Graph Structure Learning with Variational Information Bottleneck. AAAI Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2022	A*	`conf`	Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. ICDM Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
2022	J	`jnl`	Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. CoRR Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
2022	A	`conf`	Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CIKM Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
2022	J	`jnl`	Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CoRR Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
2022	J	`jnl`	Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. CoRR Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
2021	A*	`conf`	A Recipe for Global Convergence Guarantee in Deep Neural Networks. AAAI Kenji Kawaguchi, Qingyun Sun
2021	J	`jnl`	A Recipe for Global Convergence Guarantee in Deep Neural Networks. CoRR Kenji Kawaguchi, Qingyun Sun
2021	J	`jnl`	A Robust and Generalized Framework for Adversarial Graph Embedding. CoRR Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He
2021	A*	`conf`	ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. ICDM Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021	J	`jnl`	ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. CoRR Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021	J	`jnl`	Convex Sparse Blind Deconvolution. CoRR Qingyun Sun, David L. Donoho
2021	Misc	`conf`	GRAC: Self-Guided and Self-Regularized Actor-Critic. CoRL Lin Shao, Yifan You, Mengyuan Yan, Shenli Yuan, Qingyun Sun, Jeannette Bohg
2021	J	`jnl`	Graph Structure Learning with Variational Information Bottleneck. CoRR Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2021	J	`jnl`	Rice nitrogen nutrition estimation with RGB images and machine learning methods. Comput. Electron. Agric. Peihua Shi, Yuan Wang, Jianmin Xu, Yanling Zhao, Baolin Yang, Zhengqi Yuan, Qingyun Sun
2021	A*	`conf`	SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. WWW Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He
2021	J	`jnl`	SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. CoRR Qingyun Sun, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He
2020	J	`jnl`	GRAC: Self-Guided and Self-Regularized Actor-Critic. CoRR Lin Shao, Yifan You, Mengyuan Yan, Qingyun Sun, Jeannette Bohg
2020	J	`jnl`	How to Close Sim-Real Gap? Transfer with Segmentation! CoRR Mengyuan Yan, Qingyun Sun, Iuri Frosio, Stephen Tyree, Jan Kautz
2020	J	`jnl`	PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Haoqian Wang, Yi Luo, Wangpeng An, Qingyun Sun, Jun Xu, Lei Zhang
2020	A*	`conf`	Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. ICDM Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He
2020	J	`jnl`	Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. CoRR Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He
2020	J	`jnl`	Stochastic Modified Equations for Continuous Limit of Stochastic ADMM. CoRR Xiang Zhou, Huizhuo Yuan, Chris Junchi Li, Qingyun Sun
2019	—	`conf`	A Method of Speaker Recognition for Small-scale Speakers Based on One-versus-rest and Neural Network. ICCSE Qingyun Sun, Linkai Luo, Hong Peng, Chaojie An
2019	J	`jnl`	Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho
2019	A*	`conf`	Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory. ICML Huizhuo Yuan, Yuren Zhou, Chris Junchi Li, Qingyun Sun
2018	A*	`conf`	A PID Controller Approach for Stochastic Optimization of Deep Networks. CVPR Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang
2018	—	`conf`	Bayesian Opponent Exploitation in Imperfect-Information Games. AAAI Spring Symposia Sam Ganzfried, Qingyun Sun
2018	—	`conf`	Bayesian Opponent Exploitation in Imperfect-Information Games. CIG Sam Ganzfried, Qingyun Sun
2018	A*	`conf`	Convolutional Imputation of Matrix Networks. ICML Qingyun Sun, Mengyuan Yan, David L. Donoho, Stephen P. Boyd
2018	A*	`conf`	Neural Proximal Gradient Descent for Compressive Imaging. NeurIPS Morteza Mardani, Qingyun Sun, David L. Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John M. Pauly
2018	J	`jnl`	Neural Proximal Gradient Descent for Compressive Imaging. CoRR Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho
2016	J	`jnl`	Convolutional Imputation of Matrix Network. CoRR Qingyun Sun, Mengyuan Yan, Stephen P. Boyd