Qiaoyu Tan - RankMe

93 papers A* 18A 12Journal 54Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Coarse-to-Fine Learning of Dynamic Causal Structures. CoRR Dezhi Yang, Qiaoyu Tan, Carlotta Domeniconi, Jun Wang, Li-Zhen Cui, Guoxian Yu
2026	A*	`conf`	Counterfactual Fairness with Imperfect Causal Graphs. AAAI Cong Su, Qiaoyu Tan, Carlotta Domeniconi, Lizhen Cui, Jun Wang, Guoxian Yu
2026	J	`jnl`	Enhancing Graph Condensation via Key Information Reconstruction. IEEE Trans. Knowl. Data Eng. Hongjia Xu, Sheng Zhou, Zhuonan Zheng, Qiaoyu Tan, Jiawei Chen, Jiajun Bu
2026	J	`jnl`	Federated Recommendation via Stochastic Aggregation and Consistency Inference. ACM Trans. Inf. Syst. Xiaoqiang Gui, Bowen Chen, Qiaoyu Tan, Jun Wang, Yongqing Zheng, Qingzhong Li, Li-Zhen Cui, Guoxian Yu
2026	J	`jnl`	GraphSearch: Agentic Search-Augmented Reasoning for Zero-Shot Graph Learning. CoRR Jiajin Liu, Yuanfu Sun, Dongzhe Fan, Qiaoyu Tan
2026	J	`jnl`	GraphVLM: Benchmarking Vision Language Models for Multimodal Graph Learning. CoRR Jiajin Liu, Dongzhe Fan, Chuanhao Ji, Daochen Zha, Qiaoyu Tan
2026	A*	`conf`	MLLM Enriched Explainable Multiple Clustering. AAAI Shan Zhang, Liangrui Ren, Qiaoyu Tan, Carlotta Domeniconi, Wei Du, Jun Wang, Guoxian Yu
2026	J	`jnl`	Mario: Multimodal Graph Reasoning with Large Language Models. CoRR Yuanfu Sun, Kang Li, Pengkang Guo, Jiajin Liu, Qiaoyu Tan
2025	A*	`conf`	Concept-Centric Token Interpretation for Vector-Quantized Generative Models. ICML Tianze Yang, Yucheng Shi, Mengnan Du, Xuansheng Wu, Qiaoyu Tan, Jin Sun, Ninghao Liu
2025	J	`jnl`	Concept-Centric Token Interpretation for Vector-Quantized Generative Models. CoRR Tianze Yang, Yucheng Shi, Mengnan Du, Xuansheng Wu, Qiaoyu Tan, Jin Sun, Ninghao Liu
2025	J	`jnl`	Cross-Task Collaborative Meta-Learning for Cold-Start Recommendations. IEEE Trans. Knowl. Data Eng. Yantong Du, Rui Chen, Qiaoyu Tan, Qilong Han, Shenjie Wang, Xiangyu Zhao
2025	A*	`conf`	CrystalICL: Enabling In-Context Learning for Crystal Generation. EMNLP Ruobing Wang, Qiaoyu Tan, Yili Wang, Ying Wang, Xin Wang
2025	J	`jnl`	CrystalICL: Enabling In-Context Learning for Crystal Generation. CoRR Ruobing Wang, Qiaoyu Tan, Yili Wang, Ying Wang, Xin Wang
2025	—	`conf`	DimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation. KDD (1) Chi Zhang, Qilong Han, Qiaoyu Tan, Shengjie Wang, Xiangyu Zhao, Rui Chen
2025	A*	`conf`	GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs. CVPR Yi Fang, Bowen Jin, Jiacheng Shen, Sirui Ding, Qiaoyu Tan, Jiawei Han
2025	J	`jnl`	GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs. CoRR Yi Fang, Bowen Jin, Jiacheng Shen, Sirui Ding, Qiaoyu Tan, Jiawei Han
2025	J	`jnl`	Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning. CoRR Jiajin Liu, Dongzhe Fan, Jiacheng Shen, Chuanhao Ji, Daochen Zha, Qiaoyu Tan
2025	—	`conf`	GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design. NAACL (Findings) Yuanfu Sun, Zhengnan Ma, Yi Fang, Jing Ma, Qiaoyu Tan
2025	J	`jnl`	GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design. CoRR Yuanfu Sun, Zhengnan Ma, Yi Fang, Jing Ma, Qiaoyu Tan
2025	J	`jnl`	Greatmeta: gradient-aware adaptive meta-learning for cold-start recommendations. Data Min. Knowl. Discov. Yantong Du, Rui Chen, Qilong Han, Qiaoyu Tan, Hongtao Song, Chi Zhang
2025	J	`jnl`	MLaGA: Multimodal Large Language and Graph Assistant. CoRR Dongzhe Fan, Yi Fang, Jiajin Liu, Djellel Difallah, Qiaoyu Tan
2025	A*	`conf`	Towards a Unified Framework of Clustering-based Anomaly Detection. ICML Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu
2025	—	`conf`	TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks. KDD (2) Qihai Zhang, Xinyue Sheng, Yuanfu Sun, Qiaoyu Tan
2025	J	`jnl`	TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks. CoRR Qihai Zhang, Xinyue Sheng, Yuanfu Sun, Qiaoyu Tan
2025	A	`conf`	UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding. WSDM Yi Fang, Dongzhe Fan, Sirui Ding, Ninghao Liu, Qiaoyu Tan
2024	J	`jnl`	Better Late Than Never: Formulating and Benchmarking Recommendation Editing. CoRR Chengyu Lai, Sheng Zhou, Zhimeng Jiang, Qiaoyu Tan, Yuanchen Bei, Jiawei Chen, Ningyu Zhang, Jiajun Bu
2024	J	`jnl`	Collaborative Graph Neural Networks for Attributed Network Embedding. IEEE Trans. Knowl. Data Eng. Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
2024	—	`conf`	DCAI: Data-centric Artificial Intelligence. WWW (Companion Volume) Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee
2024	J	`jnl`	DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution. ACM Trans. Intell. Syst. Technol. Xuansheng Wu, Hanqin Wan, Qiaoyu Tan, Wenlin Yao, Ninghao Liu
2024	J	`jnl`	E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification. CoRR Xin Zhang, Daochen Zha, Qiaoyu Tan
2024	A*	`conf`	GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. KDD Yi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan
2024	J	`jnl`	GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. CoRR Yi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan
2024	A*	`conf`	Gradient Rewiring for Editable Graph Neural Network Training. NeurIPS Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024	J	`jnl`	Gradient Rewiring for Editable Graph Neural Network Training. CoRR Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024	J	`jnl`	Graph Contrastive Learning With Personalized Augmentation. IEEE Trans. Knowl. Data Eng. Xin Zhang, Qiaoyu Tan, Xiao Huang, Bo Li
2024	J	`jnl`	GraphFM: A Comprehensive Benchmark for Graph Foundation Model. CoRR Yuhao Xu, Xinqi Liu, Keyu Duan, Yi Fang, Yu-Neng Chuang, Daochen Zha, Qiaoyu Tan
2024	J	`jnl`	Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding. IEEE Trans. Knowl. Data Eng. Qinggang Zhang, Junnan Dong, Qiaoyu Tan, Xiao Huang
2024	J	`jnl`	MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction. CoRR Yuyan Liu, Sirui Ding, Sheng Zhou, Wenqi Fan, Qiaoyu Tan
2024	—	`conf`	Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment. ACL (Findings) Kaishuai Xu, Yi Cheng, Wenjun Hou, Qiaoyu Tan, Wenjie Li
2024	J	`jnl`	Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment. CoRR Kaishuai Xu, Yi Cheng, Wenjun Hou, Qiaoyu Tan, Wenjie Li
2024	J	`jnl`	Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models. CoRR Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu
2024	A	`conf`	Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering. CIKM Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu
2024	J	`jnl`	Towards a Unified Framework of Clustering-based Anomaly Detection. CoRR Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu
2024	J	`jnl`	Understanding Different Design Choices in Training Large Time Series Models. CoRR Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Qiaoyu Tan, Daochen Zha, Xia Hu
2024	J	`jnl`	UniGLM: Training One Unified Language Model for Text-Attributed Graphs. CoRR Yi Fang, Dongzhe Fan, Sirui Ding, Ninghao Liu, Qiaoyu Tan
2023	A	`conf`	Active Ensemble Learning for Knowledge Graph Error Detection. WSDM Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao
2023	A	`conf`	Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. WSDM Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023	—	`conf`	ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. ICDM (Workshops) Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang
2023	J	`jnl`	Collaborative Graph Neural Networks for Attributed Network Embedding. CoRR Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
2023	A*	`conf`	Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation. ICDM Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
2023	A	`conf`	GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CIKM Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
2023	J	`jnl`	GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CoRR Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
2023	—	`conf`	Graph Neural Networks with Non-Recursive Message Passing. ICDM (Workshops) Qiaoyu Tan, Xin Zhang, Jiahe Du, Xiao Huang
2023	A*	`conf`	Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. WWW Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang
2023	A	`conf`	Homophily-enhanced Structure Learning for Graph Clustering. CIKM Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu
2023	J	`jnl`	Homophily-enhanced Structure Learning for Graph Clustering. CoRR Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu
2023	—	`conf`	Interest Driven Graph Structure Learning for Session-Based Recommendation. PAKDD (3) Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu
2023	J	`jnl`	Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant. CoRR Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu
2023	A*	`conf`	OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. NeurIPS Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang
2023	J	`jnl`	OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. CoRR Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Can Wang, Yan Feng, Chun Chen
2023	A*	`conf`	Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. ICDM Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu
2023	J	`jnl`	Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. CoRR Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu
2023	A	`conf`	S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. WSDM Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
2023	J	`jnl`	Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint. CoRR Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou
2023	J	`jnl`	Towards Personalized Preprocessing Pipeline Search. CoRR Diego Martinez, Daochen Zha, Qiaoyu Tan, Xia Hu
2022	—	`conf`	Analysis Of Acknowledgments of Libraries in the Journal Literature Using Machine Learning. ASIST David E. Hubbard, Sierra Laddusaw, Qiaoyu Tan, Xia Hu
2022	J	`jnl`	Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. CoRR Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2022	A*	`conf`	DreamShard: Generalizable Embedding Table Placement for Recommender Systems. NeurIPS Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2022	J	`jnl`	DreamShard: Generalizable Embedding Table Placement for Recommender Systems. CoRR Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2022	J	`jnl`	Graph Contrastive Learning with Personalized Augmentation. CoRR Xin Zhang, Qiaoyu Tan, Xiao Huang, Bo Li
2022	J	`jnl`	MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs. CoRR Qiaoyu Tan, Ninghao Liu, Xiao Huang, Rui Chen, Soo-Hyun Choi, Xia Hu
2022	A	`conf`	Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CIKM Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu
2022	J	`jnl`	Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CoRR Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu
2022	A	`conf`	Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning. SDM Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung
2021	A*	`conf`	Dynamic Memory based Attention Network for Sequential Recommendation. AAAI Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu
2021	J	`jnl`	Dynamic Memory based Attention Network for Sequential Recommendation. CoRR Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu
2021	J	`jnl`	Individuality- and Commonality-Based Multiview Multilabel Learning. IEEE Trans. Cybern. Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
2021	A	`conf`	Sparse-Interest Network for Sequential Recommendation. WSDM Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu
2021	J	`jnl`	Sparse-Interest Network for Sequential Recommendation. CoRR Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu
2021	A	`conf`	Subtractive Aggregation for Attributed Network Anomaly Detection. CIKM Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung
2021	A*	`conf`	Temporal Augmented Graph Neural Networks for Session-Based Recommendations. SIGIR Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang
2020	A*	`conf`	Learning to Hash with Graph Neural Networks for Recommender Systems. WWW Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu
2020	J	`jnl`	Learning to Hash with Graph Neural Networks for Recommender Systems. CoRR Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu
2019	J	`jnl`	Deep Representation Learning for Social Network Analysis. CoRR Qiaoyu Tan, Ninghao Liu, Xia Hu
2019	J	`jnl`	Deep Representation Learning for Social Network Analysis. Frontiers Big Data Qiaoyu Tan, Ninghao Liu, Xia Hu
2019	J	`jnl`	Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding. CoRR Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu
2019	A*	`conf`	Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding. KDD Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu
2019	J	`jnl`	Weighted samples based semi-supervised classification. Appl. Soft Comput. Xia Chen, Guoxian Yu, Qiaoyu Tan, Jun Wang
2018	A*	`conf`	Incomplete Multi-View Weak-Label Learning. IJCAI Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
2018	A	`conf`	Multi-view Weak-label Learning based on Matrix Completion. SDM Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
2017	J	`jnl`	Multi-Label Classification Based on Low Rank Representation for Image Annotation. Remote. Sens. Qiaoyu Tan, Yezi Liu, Xia Chen, Guoxian Yu
2017	J	`jnl`	Semi-Supervised Multi-Label Dimensionality Reduction Based on Dependence Maximization. IEEE Access Yanming Yu, Jun Wang, Qiaoyu Tan, Lianyin Jia, Guoxian Yu
2017	J	`jnl`	Semi-supervised multi-label classification using incomplete label information. Neurocomputing Qiaoyu Tan, Yanming Yu, Guoxian Yu, Jun Wang