| 2026 | AAAI | Counterfactual Fairness with Imperfect Causal Graphs. | Cong Su, Qiaoyu Tan, Carlotta Domeniconi, Lizhen Cui, Jun Wang, Guoxian Yu |
| 2026 | AAAI | MLLM Enriched Explainable Multiple Clustering. | Shan Zhang, Liangrui Ren, Qiaoyu Tan, Carlotta Domeniconi, Wei Du, Jun Wang, Guoxian Yu |
| 2026 | ACL | AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning. | Yuanfu Sun, Kang Li, Dongzhe Fan, Jiajin Liu, Qiaoyu Tan |
| 2025 | CVPR | GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs. | Yi Fang, Bowen Jin, Jiacheng Shen, Sirui Ding, Qiaoyu Tan, Jiawei Han |
| 2025 | EMNLP | CrystalICL: Enabling In-Context Learning for Crystal Generation. | Ruobing Wang, Qiaoyu Tan, Yili Wang, Ying Wang, Xin Wang |
| 2025 | ICML | Towards a Unified Framework of Clustering-based Anomaly Detection. | Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu |
| 2025 | ICML | Concept-Centric Token Interpretation for Vector-Quantized Generative Models. | Tianze Yang, Yucheng Shi, Mengnan Du, Xuansheng Wu, Qiaoyu Tan, Jin Sun, Ninghao Liu |
| 2025 | KDD | DimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation. | Chi Zhang, Qilong Han, Qiaoyu Tan, Shengjie Wang, Xiangyu Zhao, Rui Chen |
| 2025 | KDD | TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks. | Qihai Zhang, Xinyue Sheng, Yuanfu Sun, Qiaoyu Tan |
| 2025 | NAACL | GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design. | Yuanfu Sun, Zhengnan Ma, Yi Fang, Jing Ma, Qiaoyu Tan |
| 2025 | WSDM | UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding. | Yi Fang, Dongzhe Fan, Sirui Ding, Ninghao Liu, Qiaoyu Tan |
| 2024 | ACL | Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment. | Kaishuai Xu, Yi Cheng, Wenjun Hou, Qiaoyu Tan, Wenjie Li |
| 2024 | CIKM | Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering. | Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu |
| 2024 | KDD | GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. | Yi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan |
| 2024 | WWW | DCAI: Data-centric Artificial Intelligence. | Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee |
| 2023 | CIKM | Homophily-enhanced Structure Learning for Graph Clustering. | Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu |
| 2023 | CIKM | GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. | Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu |
| 2023 | ICDM | Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. | Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu |
| 2023 | ICDM | 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 |
| 2023 | ICDM | Graph Neural Networks with Non-Recursive Message Passing. | Qiaoyu Tan, Xin Zhang, Jiahe Du, Xiao Huang |
| 2023 | ICDM | 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 |
| 2023 | PAKDD | Interest Driven Graph Structure Learning for Session-Based Recommendation. | Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu |
| 2023 | WWW | Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. | Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang |
| 2023 | WSDM | Active Ensemble Learning for Knowledge Graph Error Detection. | Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao |
| 2023 | WSDM | 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 |
| 2023 | WSDM | 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 |
| 2022 | CIKM | Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. | Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu |
| 2022 | SDM | Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning. | Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung |
| 2021 | AAAI | Dynamic Memory based Attention Network for Sequential Recommendation. | Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu |
| 2021 | CIKM | Subtractive Aggregation for Attributed Network Anomaly Detection. | Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung |
| 2021 | SIGIR | Temporal Augmented Graph Neural Networks for Session-Based Recommendations. | Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang |
| 2021 | WSDM | Sparse-Interest Network for Sequential Recommendation. | Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu |
| 2020 | WWW | Learning to Hash with Graph Neural Networks for Recommender Systems. | Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu |
| 2019 | KDD | Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding. | Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu |
| 2018 | IJCAI | Incomplete Multi-View Weak-Label Learning. | Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang |
| 2018 | SDM | Multi-view Weak-label Learning based on Matrix Completion. | Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang |