Qiaoyu Tan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 63

Top Topics

Graph Structure

Top Venues

Publications

Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu
Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models. CoRR (2024)
Qinggang Zhang, Junnan Dong, Qiaoyu Tan, Xiao Huang
Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Yuhao Xu, Xinqi Liu, Keyu Duan, Yi Fang, Yu-Neng Chuang, Daochen Zha, Qiaoyu Tan
GraphFM: A Comprehensive Benchmark for Graph Foundation Model. CoRR (2024)
Yi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. KDD (2024)
Yi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. CoRR (2024)
Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
Collaborative Graph Neural Networks for Attributed Network Embedding. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Yi Fang, Dongzhe Fan, Sirui Ding, Ninghao Liu, Qiaoyu Tan
UniGLM: Training One Unified Language Model for Text-Attributed Graphs. CoRR (2024)
Kaishuai Xu, Yi Cheng, Wenjun Hou, Qiaoyu Tan, Wenjie Li
Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment. ACL (Findings) (2024)
Yuyan Liu, Sirui Ding, Sheng Zhou, Wenqi Fan, Qiaoyu Tan
MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction. CoRR (2024)
Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu
Towards a Unified Framework of Clustering-based Anomaly Detection. CoRR (2024)
Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee
DCAI: Data-centric Artificial Intelligence. WWW (Companion Volume) (2024)
Kaishuai Xu, Yi Cheng, Wenjun Hou, Qiaoyu Tan, Wenjie Li
Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment. CoRR (2024)
Chengyu Lai, Sheng Zhou, Zhimeng Jiang, Qiaoyu Tan, Yuanchen Bei, Jiawei Chen, Ningyu Zhang, Jiajun Bu
Better Late Than Never: Formulating and Benchmarking Recommendation Editing. CoRR (2024)
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
Understanding Different Design Choices in Training Large Time Series Models. CoRR (2024)
Xin Zhang, Daochen Zha, Qiaoyu Tan
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification. CoRR (2024)
Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu
Interest Driven Graph Structure Learning for Session-Based Recommendation. PAKDD (3) (2023)
Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. WSDM (2023)
Qiaoyu Tan, Xin Zhang, Jiahe Du, Xiao Huang
Graph Neural Networks with Non-Recursive Message Passing. ICDM (Workshops) (2023)
Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. CoRR (2023)
Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant. CoRR (2023)
Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CoRR (2023)
Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu
Homophily-enhanced Structure Learning for Graph Clustering. CoRR (2023)
Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation. ICDM (2023)
Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. WSDM (2023)
Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao
Active Ensemble Learning for Knowledge Graph Error Detection. WSDM (2023)
Diego Martinez, Daochen Zha, Qiaoyu Tan, Xia Hu
Towards Personalized Preprocessing Pipeline Search. CoRR (2023)
Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. ICDM (Workshops) (2023)
Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
Collaborative Graph Neural Networks for Attributed Network Embedding. CoRR (2023)
Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu
Homophily-enhanced Structure Learning for Graph Clustering. CIKM (2023)
Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint. CoRR (2023)
Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CIKM (2023)
Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. ICDM (2023)
Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang
Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. WWW (2023)
Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. NeurIPS (2023)
Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Can Wang, Yan Feng, Chun Chen
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. CoRR (2023)
Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. CoRR (2022)
Xin Zhang, Qiaoyu Tan, Xiao Huang, Bo Li
Graph Contrastive Learning with Personalized Augmentation. CoRR (2022)
David E. Hubbard, Sierra Laddusaw, Qiaoyu Tan, Xia Hu
Analysis Of Acknowledgments of Libraries in the Journal Literature Using Machine Learning. ASIST (2022)
Qiaoyu Tan, Ninghao Liu, Xiao Huang, Rui Chen, Soo-Hyun Choi, Xia Hu
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs. CoRR (2022)
Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CIKM (2022)
Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung
Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning. SDM (2022)
Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. CoRR (2022)
Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Hu
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CoRR (2022)
Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. NeurIPS (2022)
Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung
Subtractive Aggregation for Attributed Network Anomaly Detection. CIKM (2021)
Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
Individuality- and Commonality-Based Multiview Multilabel Learning. IEEE Trans. Cybern. 51 (3) (2021)
Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu
Dynamic Memory based Attention Network for Sequential Recommendation. CoRR (2021)
Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang
Temporal Augmented Graph Neural Networks for Session-Based Recommendations. SIGIR (2021)
Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu
Dynamic Memory based Attention Network for Sequential Recommendation. AAAI (2021)
Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu
Sparse-Interest Network for Sequential Recommendation. WSDM (2021)
Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu
Sparse-Interest Network for Sequential Recommendation. CoRR (2021)
Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu
Learning to Hash with Graph Neural Networks for Recommender Systems. CoRR (2020)
Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu
Learning to Hash with Graph Neural Networks for Recommender Systems. WWW (2020)
Qiaoyu Tan, Ninghao Liu, Xia Hu
Deep Representation Learning for Social Network Analysis. Frontiers Big Data 2 (2019)
Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding. CoRR (2019)
Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu
Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding. KDD (2019)
Qiaoyu Tan, Ninghao Liu, Xia Hu
Deep Representation Learning for Social Network Analysis. CoRR (2019)
Xia Chen, Guoxian Yu, Qiaoyu Tan, Jun Wang
Weighted samples based semi-supervised classification. Appl. Soft Comput. 79 (2019)
Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
Multi-view Weak-label Learning based on Matrix Completion. SDM (2018)
Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
Incomplete Multi-View Weak-Label Learning. IJCAI (2018)
Qiaoyu Tan, Yanming Yu, Guoxian Yu, Jun Wang
Semi-supervised multi-label classification using incomplete label information. Neurocomputing 260 (2017)
Qiaoyu Tan, Yezi Liu, Xia Chen, Guoxian Yu
Multi-Label Classification Based on Low Rank Representation for Image Annotation. Remote. Sens. 9 (2) (2017)
Yanming Yu, Jun Wang, Qiaoyu Tan, Lianyin Jia, Guoxian Yu
Semi-Supervised Multi-Label Dimensionality Reduction Based on Dependence Maximization. IEEE Access 5 (2017)