Qiaoyu Tan

According to our database, Qiaoyu Tan authored at least 49 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Graph Contrastive Learning With Personalized Augmentation.

Xin Zhang, Qiaoyu Tan, Xiao Huang, Bo Li

IEEE Trans. Knowl. Data Eng., November, 2024

Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding.

Qinggang Zhang, Junnan Dong, Qiaoyu Tan, Xiao Huang

IEEE Trans. Knowl. Data Eng., April, 2024

Collaborative Graph Neural Networks for Attributed Network Embedding.

Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu

IEEE Trans. Knowl. Data Eng., March, 2024

Understanding Different Design Choices in Training Large Time Series Models.

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

CoRR, 2024

MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction.

Yuyan Liu, Sirui Ding, Sheng Zhou, Wenqi Fan, Qiaoyu Tan

CoRR, 2024

UniGLM: Training One Unified Language Model for Text-Attributed Graphs.

Yi Fang, Dongzhe Fan, Sirui Ding, Ninghao Liu, Qiaoyu Tan

CoRR, 2024

GraphFM: A Comprehensive Benchmark for Graph Foundation Model.

Yuhao Xu, Xinqi Liu, Keyu Duan, Yi Fang, Yu-Neng Chuang, Daochen Zha, Qiaoyu Tan

CoRR, 2024

Better Late Than Never: Formulating and Benchmarking Recommendation Editing.

Chengyu Lai, Sheng Zhou, Zhimeng Jiang, Qiaoyu Tan, Yuanchen Bei, Jiawei Chen, Ningyu Zhang, Jiajun Bu

CoRR, 2024

Towards a Unified Framework of Clustering-based Anomaly Detection.

Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu

CoRR, 2024

E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification.

Xin Zhang, Daochen Zha, Qiaoyu Tan

CoRR, 2024

Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models.

Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu

CoRR, 2024

DCAI: Data-centric Artificial Intelligence.

Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models.

Yi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering.

Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment.

Kaishuai Xu, Yi Cheng, Wenjun Hou, Qiaoyu Tan, Wenjie Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant.

Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu

CoRR, 2023

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint.

Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou

CoRR, 2023

Towards Personalized Preprocessing Pipeline Search.

Diego Martinez, Daochen Zha, Qiaoyu Tan, Xia Hu

CoRR, 2023

Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs.

Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang

Proceedings of the ACM Web Conference 2023, 2023

Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection.

Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking.

Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Active Ensemble Learning for Knowledge Graph Error Detection.

Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Interest Driven Graph Structure Learning for Session-Based Recommendation.

Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning.

Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation.

Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu

Proceedings of the IEEE International Conference on Data Mining, 2023

Graph Neural Networks with Non-Recursive Message Passing.

Qiaoyu Tan, Xin Zhang, Jiahe Du, Xiao Huang

Proceedings of the IEEE International Conference on Data Mining, 2023

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.

Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang

Proceedings of the IEEE International Conference on Data Mining, 2023

Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection.

Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu

Proceedings of the IEEE International Conference on Data Mining, 2023

GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction.

Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Homophily-enhanced Structure Learning for Graph Clustering.

Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs.

Qiaoyu Tan, Ninghao Liu, Xiao Huang, Rui Chen, Soo-Hyun Choi, Xia Hu

CoRR, 2022

Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning.

Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

DreamShard: Generalizable Embedding Table Placement for Recommender Systems.

Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning.

Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Analysis Of Acknowledgments of Libraries in the Journal Literature Using Machine Learning.

David E. Hubbard, Sierra Laddusaw, Qiaoyu Tan, Xia Hu

Proceedings of the Crisis, Transition, Resilience: Re-imagining an information resilient society, 2022

2021

Individuality- and Commonality-Based Multiview Multilabel Learning.

Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

IEEE Trans. Cybern., 2021

Sparse-Interest Network for Sequential Recommendation.

Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu

Proceedings of the WSDM '21, 2021

Temporal Augmented Graph Neural Networks for Session-Based Recommendations.

Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Subtractive Aggregation for Attributed Network Anomaly Detection.

Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Dynamic Memory based Attention Network for Sequential Recommendation.

Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning to Hash with Graph Neural Networks for Recommender Systems.

Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

Deep Representation Learning for Social Network Analysis.

Qiaoyu Tan, Ninghao Liu, Xia Hu

Frontiers Big Data, 2019

Weighted samples based semi-supervised classification.

Xia Chen, Guoxian Yu, Qiaoyu Tan, Jun Wang

Appl. Soft Comput., 2019

Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding.

Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Multi-view Weak-label Learning based on Matrix Completion.

Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Incomplete Multi-View Weak-Label Learning.

Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Multi-Label Classification Based on Low Rank Representation for Image Annotation.

Qiaoyu Tan, Yezi Liu, Xia Chen, Guoxian Yu

Remote. Sens., 2017

Semi-supervised multi-label classification using incomplete label information.

Qiaoyu Tan, Yanming Yu, Guoxian Yu, Jun Wang

Neurocomputing, 2017

Semi-Supervised Multi-Label Dimensionality Reduction Based on Dependence Maximization.

Yanming Yu, Jun Wang, Qiaoyu Tan, Lianyin Jia, Guoxian Yu

IEEE Access, 2017