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2020 – today
- 2024
[j9]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): 972-986 (2024)- [j8]Qinggang Zhang, Junnan Dong, Qiaoyu Tan, Xiao Huang:
Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding. IEEE Trans. Knowl. Data Eng. 36(4): 1667-1682 (2024) - [j7]Xin Zhang, Qiaoyu Tan, Xiao Huang, Bo Li:
Graph Contrastive Learning With Personalized Augmentation. IEEE Trans. Knowl. Data Eng. 36(11): 6305-6316 (2024) - [c28]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: 6796-6814 - [c27]Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu:
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering. CIKM 2024: 2056-2066 - [c26]Yi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan:
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. KDD 2024: 747-758 - [c25]Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee:
DCAI: Data-centric Artificial Intelligence. WWW (Companion Volume) 2024: 1482-1485 - [i29]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 abs/2403.19631 (2024) - [i28]Xin Zhang, Daochen Zha, Qiaoyu Tan:
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification. CoRR abs/2405.03401 (2024) - [i27]Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu:
Towards a Unified Framework of Clustering-based Anomaly Detection. CoRR abs/2406.00452 (2024) - [i26]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 abs/2406.04553 (2024) - [i25]Yuhao Xu, Xinqi Liu, Keyu Duan, Yi Fang, Yu-Neng Chuang, Daochen Zha, Qiaoyu Tan:
GraphFM: A Comprehensive Benchmark for Graph Foundation Model. CoRR abs/2406.08310 (2024) - [i24]Yi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan:
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. CoRR abs/2406.11945 (2024) - [i23]Yi Fang, Dongzhe Fan, Sirui Ding, Ninghao Liu, Qiaoyu Tan:
UniGLM: Training One Unified Language Model for Text-Attributed Graphs. CoRR abs/2406.12052 (2024) - [i22]Yuyan Liu, Sirui Ding, Sheng Zhou, Wenqi Fan, Qiaoyu Tan:
MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction. CoRR abs/2406.12950 (2024) - [i21]Kaishuai Xu, Yi Cheng, Wenjun Hou, Qiaoyu Tan, Wenjie Li:
Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment. CoRR abs/2406.13934 (2024) - [i20]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 abs/2406.14045 (2024) - [i19]Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu:
Gradient Rewiring for Editable Graph Neural Network Training. CoRR abs/2410.15556 (2024) - 2023
- [c24]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: 577-586 - [c23]Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu:
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CIKM 2023: 2259-2269 - [c22]Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu:
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. ICDM 2023: 11-20 - [c21]Qiaoyu Tan, Xin Zhang, Jiahe Du, Xiao Huang:
Graph Neural Networks with Non-Recursive Message Passing. ICDM (Workshops) 2023: 506-514 - [c20]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: 515-520 - [c19]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: 1343-1348 - [c18]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 - [c17]Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu:
Interest Driven Graph Structure Learning for Session-Based Recommendation. PAKDD (3) 2023: 284-296 - [c16]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: 625-633 - [c15]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: 787-795 - [c14]Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao:
Active Ensemble Learning for Knowledge Graph Error Detection. WSDM 2023: 877-885 - [c13]Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang:
Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. WWW 2023: 2519-2527 - [i18]Diego Martinez, Daochen Zha, Qiaoyu Tan, Xia Hu:
Towards Personalized Preprocessing Pipeline Search. CoRR abs/2302.14329 (2023) - [i17]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 abs/2303.13790 (2023) - [i16]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 abs/2304.00012 (2023) - [i15]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 abs/2306.10280 (2023) - [i14]Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu:
Collaborative Graph Neural Networks for Attributed Network Embedding. CoRR abs/2307.11981 (2023) - [i13]Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu:
Homophily-enhanced Structure Learning for Graph Clustering. CoRR abs/2308.05309 (2023) - [i12]Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu:
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. CoRR abs/2308.09663 (2023) - [i11]Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu:
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. CoRR abs/2312.05526 (2023) - 2022
- [c12]David E. Hubbard, Sierra Laddusaw, Qiaoyu Tan, Xia Hu:
Analysis Of Acknowledgments of Libraries in the Journal Literature Using Machine Learning. ASIST 2022: 709-711 - [c11]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: 2476-2485 - [c10]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 - [c9]Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung:
Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning. SDM 2022: 262-270 - [i10]Qiaoyu Tan, Ninghao Liu, Xiao Huang, Rui Chen, Soo-Hyun Choi, Xia Hu:
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs. CoRR abs/2201.02534 (2022) - [i9]Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu:
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CoRR abs/2208.12433 (2022) - [i8]Xin Zhang, Qiaoyu Tan, Xiao Huang, Bo Li:
Graph Contrastive Learning with Personalized Augmentation. CoRR abs/2209.06560 (2022) - [i7]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 abs/2210.02023 (2022) - [i6]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 abs/2212.12488 (2022) - 2021
- [j6]Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Individuality- and Commonality-Based Multiview Multilabel Learning. IEEE Trans. Cybern. 51(3): 1716-1727 (2021) - [c8]Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu:
Dynamic Memory based Attention Network for Sequential Recommendation. AAAI 2021: 4384-4392 - [c7]Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung:
Subtractive Aggregation for Attributed Network Anomaly Detection. CIKM 2021: 3672-3676 - [c6]Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang:
Temporal Augmented Graph Neural Networks for Session-Based Recommendations. SIGIR 2021: 1798-1802 - [c5]Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu:
Sparse-Interest Network for Sequential Recommendation. WSDM 2021: 598-606 - [i5]Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu:
Sparse-Interest Network for Sequential Recommendation. CoRR abs/2102.09267 (2021) - [i4]Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu:
Dynamic Memory based Attention Network for Sequential Recommendation. CoRR abs/2102.09269 (2021) - 2020
- [c4]Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu:
Learning to Hash with Graph Neural Networks for Recommender Systems. WWW 2020: 1988-1998 - [i3]Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu:
Learning to Hash with Graph Neural Networks for Recommender Systems. CoRR abs/2003.01917 (2020)
2010 – 2019
- 2019
- [j5]Xia Chen, Guoxian Yu, Qiaoyu Tan, Jun Wang:
Weighted samples based semi-supervised classification. Appl. Soft Comput. 79: 46-58 (2019) - [j4]Qiaoyu Tan, Ninghao Liu, Xia Hu:
Deep Representation Learning for Social Network Analysis. Frontiers Big Data 2: 2 (2019) - [c3]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: 932-940 - [i2]Qiaoyu Tan, Ninghao Liu, Xia Hu:
Deep Representation Learning for Social Network Analysis. CoRR abs/1904.08547 (2019) - [i1]Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu:
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding. CoRR abs/1905.10668 (2019) - 2018
- [c2]Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang:
Incomplete Multi-View Weak-Label Learning. IJCAI 2018: 2703-2709 - [c1]Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang:
Multi-view Weak-label Learning based on Matrix Completion. SDM 2018: 450-458 - 2017
- [j3]Yanming Yu, Jun Wang, Qiaoyu Tan, Lianyin Jia, Guoxian Yu:
Semi-Supervised Multi-Label Dimensionality Reduction Based on Dependence Maximization. IEEE Access 5: 21927-21940 (2017) - [j2]Qiaoyu Tan, Yanming Yu, Guoxian Yu, Jun Wang:
Semi-supervised multi-label classification using incomplete label information. Neurocomputing 260: 192-202 (2017) - [j1]Qiaoyu Tan, Yezi Liu, Xia Chen, Guoxian Yu:
Multi-Label Classification Based on Low Rank Representation for Image Annotation. Remote. Sens. 9(2): 109 (2017)
Coauthor Index
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last updated on 2024-12-02 21:32 CET by the dblp team
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