| 2026 | AAAI | TAdaRAG: Task Adaptive Retrieval-Augmented Generation via On-the-Fly Knowledge Graph Construction. | Jie Zhang, Bo Tang, Wanzi Shao, Wenqiang Wei, Jihao Zhao, Jianqing Zhu, Zhiyu Li, Wen Xi, Zehao Lin, Feiyu Xiong, Yanchao Tan |
| 2026 | KDD | Awaken the Giant: Activating LLMs via Deep Model Guidance for Boundary-aware Medication Recommendation. | Hang Lv, Zixuan Guo, Yanchao Tan, Wanzi Shao, Hengyu Zhang, Carl Yang |
| 2026 | KDD | EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning. | Hengyu Zhang, Xuyun Zhang, Pengxiang Zhan, Linhao Luo, Hang Lv, Yanchao Tan, Shirui Pan, Carl Yang |
| 2026 | WWW | Towards Efficient and Interpretable Medical Concept Representation via Ontology-driven Residual Vector Quantization. | Hang Lv, Kaisong Zhang, Yanchao Tan, Xing Chen |
| 2026 | WWW | BiCare: Bi-Objective Set Similarity with Box Embeddings for Safe and Effective Healthcare Decision Support. | Guofang Ma, Pengxiang Zhan, Haoze Huang, Yanchao Tan |
| 2026 | WWW | ULoR: Uncertainty-Aware Leave-One-Out Refinement Framework for Diagnosis Prediction. | Jie Zhang, Wanzi Shao, Yanchao Tan |
| 2026 | SIGIR | PurifAI: Detecting and Fixing Search-Induced Distortions in Web-Augmented LLMs. | Guoqing Wang, Zhao Zhang, Zeyu Sun, Xiaofei Xie, Yizhou Chen, Yanchao Tan, Dan Hao |
| 2025 | AAAI | OpenViewer: Openness-Aware Multi-View Learning. | Shide Du, Zihan Fang, Yanchao Tan, Changwei Wang, Shiping Wang, Wenzhong Guo |
| 2025 | ADMA | Graph-Oriented Cross-Modality Diffusion for Multimedia Recommendation. | Jiamin Chen, Tanzheng Jiang, Zhenghong Lin, Guofang Ma, Yanchao Tan |
| 2025 | CIKM | Higher-order Structure and Semantics-enhanced User Profiling for Recommendation. | Yanchao Tan, Xinyi Huang, Zhijun Chen, Hang Lv, Hengyu Zhang, Wei Huang, Guofang Ma |
| 2025 | EMNLP | MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval. | Xixi Wu, Yanchao Tan, Nan Hou, Ruiyang Zhang, Hong Cheng |
| 2025 | ICML | Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning. | Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Pan Li, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin |
| 2025 | ICML | BoxLM: Unifying Structures and Semantics of Medical Concepts for Diagnosis Prediction in Healthcare. | Yanchao Tan, Hang Lv, Yunfei Zhan, Guofang Ma, Bo Xiong, Carl Yang |
| 2025 | IJCAI | HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphs. | Zihan Fang, Zhiling Cai, Yuxuan Zheng, Shide Du, Yanchao Tan, Shiping Wang |
| 2025 | PRICAI | MGMRec: Learning Multi-granularity Representations for Multi-behavior Recommendation. | Xusheng Yu, Guofang Ma, Yanchao Tan |
| 2025 | RecSys | Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation. | Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yanchao Tan, Yu Rong, Hong Cheng, Lingling Yi |
| 2025 | WWW | Large Language Model Empowered Logical Relations Mining for Personalized Recommendation. | Yanchao Tan, Wanzi Shao, Guofang Ma, Carl Yang |
| 2024 | AAAI | Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. | Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong |
| 2024 | CVPR | Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. | Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan |
| 2024 | ICDE | Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. | Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang |
| 2024 | ICML | Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. | Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong |
| 2024 | IJCAI | Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning. | Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu, Xinting Liao, Fan Wang, Shiping Wang, Yanchao Tan |
| 2024 | KDD | CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. | Fan Wang, Chaochao Chen, Weiming Liu, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng |
| 2024 | WWW | User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation. | Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jiajie Su, Yanchao Tan, Fan Wang |
| 2024 | WWW | BoxCare: A Box Embedding Model for Disease Representation and Diagnosis Prediction in Healthcare Data. | Hang Lv, Zehai Chen, Yacong Yang, Guofang Ma, Yanchao Tan, Carl Yang |
| 2024 | WWW | Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows. | Yanchao Tan, Hengyu Zhang, Zihao Zhou, Guofang Ma, Fan Wang, Weiming Liu, Xinting Liao, Vicki Stover Hertzberg, Carl Yang |
| 2023 | ICDM | Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. | Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang |
| 2023 | IJCAI | HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. | Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi |
| 2023 | IJCAI | Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. | Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng |
| 2023 | WWW | Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. | Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan |
| 2022 | CIKM | Partial Relaxed Optimal Transport for Denoised Recommendation. | Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Weiming Liu, Xiaolin Zheng |
| 2022 | ICDE | Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. | Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng |
| 2022 | KDD | 4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. | Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang |
| 2022 | SIGIR | Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. | Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen |
| 2022 | SIGIR | MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. | Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng |
| 2021 | ICDE | Multi-Facet Recommender Networks with Spherical Optimization. | Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng |