Yanchao Tan

According to our database, Yanchao Tan authored at least 74 papers between 2017 and 2026.

Collaborative distances:

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

2026

Be Reliable: An Interpretable Attribute-Oriented Representation Learning Framework.

Zihan Fang, Shide Du, Ying Zou, Yanchao Tan, Na Song, Shiping Wang

IEEE Trans. Neural Networks Learn. Syst., March, 2026

Search-Induced Issues in Web-Augmented LLM Code Generation: Detecting and Repairing Error-Inducing Pages.

Guoqing Wang, Zeyu Sun, Xiaofei Xie, Yizhou Chen, Yanchao Tan, Yifan Zhao, Dan Hao

CoRR, March, 2026

Cluster-Enhanced Dual Discrete Collaborative Filtering for Efficient Recommendation.

Fan Wang, Chaochao Chen, Weiming Liu, Lianyong Qi, Xuyun Zhang, Yanchao Tan, Mengying Zhu, Xiaolin Zheng

IEEE Trans. Knowl. Data Eng., January, 2026

Graph-Oriented Instruction Tuning of Large Language Models for Generic Graph Mining.

Yanchao Tan, Hang Lv, Pengxiang Zhan, Shiping Wang, Carl Yang

IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

Enhanced recommendation with hypergraph mixture of experts.

Zihao Zhou, Zhijun Chen, Guofang Ma, Zhenghong Lin, Yanchao Tan, Shiping Wang, Carl Yang

Expert Syst. Appl., 2026

ULoR: Uncertainty-Aware Leave-One-Out Refinement Framework for Diagnosis Prediction.

Jie Zhang, Wanzi Shao, Yanchao Tan

Proceedings of the ACM Web Conference 2026, 2026

BiCare: Bi-Objective Set Similarity with Box Embeddings for Safe and Effective Healthcare Decision Support.

Guofang Ma, Pengxiang Zhan, Haoze Huang, Yanchao Tan

Proceedings of the ACM Web Conference 2026, 2026

Towards Efficient and Interpretable Medical Concept Representation via Ontology-driven Residual Vector Quantization.

Hang Lv, Kaisong Zhang, Yanchao Tan, Xing Chen

Proceedings of the ACM Web Conference 2026, 2026

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

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

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

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation.

Zhenghong Lin, Yanchao Tan, Jiamin Chen, Hengyu Zhang, Chaochao Chen, Shiping Wang, Carl Yang

ACM Trans. Inf. Syst., September, 2025

Profiling users with tag-enhanced spherical metric learning for recommendation.

Yanchao Tan, Hang Lv, Xinyi Huang, Guofang Ma, Chaochao Chen

Int. J. Mach. Learn. Cybern., September, 2025

Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation.

Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tang, Yanchao Tan, Yu Rong, Hong Cheng, Lingling Yi

CoRR, July, 2025

Scalable multi-modal representation learning networks.

Zihan Fang, Ying Zou, Shiyang Lan, Shide Du, Yanchao Tan, Shiping Wang

Artif. Intell. Rev., July, 2025

Multi-Perspective Attention Mechanism for Bias-Aware Sequential Recommendation.

Mingjian Fu, Hengsheng Chen, Dongchun Jiang, Yanchao Tan

CoRR, April, 2025

GMAgent: A Graph-oriented Multi-agent Collaboration Framework for Text-attributed Graph Analysis.

Hang Lv, Pengxiang Zhan, Yanchao Tan, Zixuan Guo, Shiping Wang, Carl Yang

Trans. Mach. Learn. Res., 2025

Heterogeneous Graph Embedding with Dual Edge Differentiation.

Yuhong Chen, Fuhai Chen, Zhihao Wu, Zhaoliang Chen, Zhiling Cai, Yanchao Tan, Shiping Wang

Neural Networks, 2025

Large Language Model Empowered Logical Relations Mining for Personalized Recommendation.

Yanchao Tan, Wanzi Shao, Guofang Ma, Carl Yang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation.

Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yanchao Tan, Yu Rong, Hong Cheng, Lingling Yi

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

MGMRec: Learning Multi-granularity Representations for Multi-behavior Recommendation.

Xusheng Yu, Guofang Ma, Yanchao Tan

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

MedAlign: Enhancing Combinatorial Medication Recommendation with Multi-modality Alignment.

Hang Lv, Zixuan Guo, Zijie Wu, Yanchao Tan, Guofang Ma, Zhigang Lin, Xiping Chen, Hong Cheng, Carl Yang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Medical Retrieval-Augmentation Generation Framework for Healthcare Prediction.

Yanchao Tan, Jie Zhang, Jiamin Zhuang, Guofang Ma, Carl Yang

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphs.

Zihan Fang, Zhiling Cai, Yuxuan Zheng, Shide Du, Yanchao Tan, Shiping Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval.

Xixi Wu, Yanchao Tan, Nan Hou, Ruiyang Zhang, Hong Cheng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Higher-order Structure and Semantics-enhanced User Profiling for Recommendation.

Yanchao Tan, Xinyi Huang, Zhijun Chen, Hang Lv, Hengyu Zhang, Wei Huang, Guofang Ma

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

$\mathrm{D}^{2}$ KGMed: Dynamic Diagnostic Knowledge Graphs for Medical Diagnosis Prediction.

Jie Zhang, Gaoyang Zheng, Hang Lv, Linhao Luo, Guofang Ma, Zhigang Lin, Xiping Chen, Yanchao Tan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

RQCare: A Residual Quantization Model for Disease Representation and Diagnosis Prediction in Healthcare Data.

Xusheng Yu, Kaisong Zhang, Hang Lv, Guofang Ma, Zhigang Lin, Xiping Chen, Yanchao Tan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

DMAP: A Deep-Model Driven Multi-Agent Framework for Reliable Diagnosis Prediction.

Wenjing Yu, Guofang Ma, Hang Lv, Zhigang Lin, Xiping Chen, Yanchao Tan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Graph-Oriented Cross-Modality Diffusion for Multimedia Recommendation.

Jiamin Chen, Tanzheng Jiang, Zhenghong Lin, Guofang Ma, Yanchao Tan

Proceedings of the Advanced Data Mining and Applications - 21st International Conference, 2025

OpenViewer: Openness-Aware Multi-View Learning.

Shide Du, Zihan Fang, Yanchao Tan, Changwei Wang, Shiping Wang, Wenzhong Guo

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation.

Xiaolin Zheng, Weiming Liu, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan

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

Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization.

Zhenghong Lin, Qishan Yan, Weiming Liu, Shiping Wang, Menghan Wang, Yanchao Tan, Carl Yang

IEEE Trans. Multim., 2024

Representation Learning Meets Optimization-Derived Networks: From Single-View to Multi-View.

Zihan Fang, Shide Du, Zhiling Cai, Shiyang Lan, Chunming Wu, Yanchao Tan, Shiping Wang

IEEE Trans. Multim., 2024

Multi-view heterogeneous graph learning with compressed hypergraph neural networks.

Aiping Huang, Zihan Fang, Zhihao Wu, Yanchao Tan, Peng Han, Shiping Wang, Le Zhang

Neural Networks, 2024

Unified structure-aware feature learning for Graph Convolutional Network.

Sujia Huang, Shunxin Xiao, Yuhong Chen, Jinbin Yang, Zhibin Shi, Yanchao Tan, Shiping Wang

Expert Syst. Appl., 2024

MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining.

Yanchao Tan, Hang Lv, Xinyi Huang, Jiawei Zhang, Shiping Wang, Carl Yang

CoRR, 2024

Unlocking the Potential of Remanufacturing Through Machine Learning and Data-Driven Models - A Survey.

Yong Han Kim, Wei Ye, Ritbik Kumar, Finn Bail, Julia Dvorak, Yanchao Tan, Marvin Carl May, Qing Chang, Ragu Athinarayanan, Gisela Lanza, John W. Sutherland, Xingyu Li, Chandra Nath

Algorithms, 2024

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

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

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

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

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

Proceedings of the ACM on Web Conference 2024, 2024

TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering.

Jun Dan, Weiming Liu, Chunfeng Xie, Hua Yu, Shunjie Dong, Yanchao Tan

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

HOGDA: Boosting Semi-supervised Graph Domain Adaptation via High-Order Structure-Guided Adaptive Feature Alignment.

Jun Dan, Weiming Liu, Mushui Liu, Chunfeng Xie, Shunjie Dong, Guofang Ma, Yanchao Tan, Jiazheng Xing

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

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

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

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ExpertODE: Continuous Diagnosis Prediction with Expert Enhanced Neural Ordinary Differential Equations.

Hengyu Zhang, Hang Lv, Yanchao Tan, Guofang Ma, Fan Wang, Carl Yang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Heterogeneous Hypergraph Structure Learning for Multimedia Recommendation.

Yanchao Tan, Zhenghong Lin, Sujie Pan, Siying Xu, Weiming Liu, Guofang Ma, Shiping Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

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

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Finding High-Quality Item Attributes for Recommendation.

Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl Yang

IEEE Trans. Knowl. Data Eng., August, 2023

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

Proceedings of the ACM Web Conference 2023, 2023

WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding.

Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang

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

Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation.

Weiming Liu, Xiaolin Zheng, Chaochao Chen, Mengling Hu, Xinting Liao, Fan Wang, Yanchao Tan, Dan Meng, Jun Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation.

Zhenghong Lin, Yanchao Tan, Yunfei Zhan, Weiming Liu, Fan Wang, Chaochao Chen, Shiping Wang, Carl Yang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data.

Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness.

Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo

Proceedings of the 31st ACM International Conference on Multimedia, 2023

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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Partial Relaxed Optimal Transport for Denoised Recommendation.

Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Xiaolin Zheng

CoRR, 2022

Multi-Modal Fusion in Contact-Rich Precise Tasks via Hierarchical Policy Learning.

Piaopiao Jin, Yinjie Lin, Yanchao Tan, Tiefeng Li, Wei Yang

CoRR, 2022

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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation.

Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space.

Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Partial Relaxed Optimal Transport for Denoised Recommendation.

Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Weiming Liu, Xiaolin Zheng

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021

Multi-Facet Recommender Networks with Spherical Optimization.

Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2019

FinBrain: when finance meets AI 2.0.

Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan

Frontiers Inf. Technol. Electron. Eng., 2019

2018

Thermal-aware correlated two-level scheduling of real-time tasks with reduced processor energy on heterogeneous MPSoCs.

Junlong Zhou, Jianming Yan, Kun Cao, Yanchao Tan, Tongquan Wei, Mingsong Chen, Gongxuan Zhang, Xiaodao Chen, Shiyan Hu

J. Syst. Archit., 2018

2017

Investment Recommendation with Total Capital Value Maximization in Online P2P Lending.

Yanchao Tan, Xiaolin Zheng, Mengying Zhu, Chaohui Wang, Zhifeng Zhu, Lifeng Yu

Proceedings of the 14th IEEE International Conference on e-Business Engineering, 2017