Yanchao Tan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 37

Top Topics

Unsupervised Learning

Top Venues

IEEE Trans. Multim.

Publications

Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang
Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. ICDE (2024)
Sujia Huang, Shunxin Xiao, Yuhong Chen, Jinbin Yang, Zhibin Shi, Yanchao Tan, Shiping Wang
Unified structure-aware feature learning for Graph Convolutional Network. Expert Syst. Appl. 254 (2024)
Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CoRR (2024)
Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jiajie Su, Yanchao Tan, Fan Wang
User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation. WWW (2024)
Yanchao Tan, Hengyu Zhang, Zihao Zhou, Guofang Ma, Fan Wang, Weiming Liu, Xinting Liao, Vicki Stover Hertzberg, Carl Yang
Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows. WWW (Companion Volume) (2024)
Fan Wang, Chaochao Chen, Weiming Liu, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng
CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. KDD (2024)
Zihan Fang, Shide Du, Zhiling Cai, Shiyang Lan, Chunming Wu, Yanchao Tan, Shiping Wang
Representation Learning Meets Optimization-Derived Networks: From Single-View to Multi-View. IEEE Trans. Multim. 26 (2024)
Zhenghong Lin, Qishan Yan, Weiming Liu, Shiping Wang, Menghan Wang, Yanchao Tan, Carl Yang
Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization. IEEE Trans. Multim. 26 (2024)
Yanchao Tan, Hang Lv, Xinyi Huang, Jiawei Zhang, Shiping Wang, Carl Yang
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining. CoRR (2024)
Hang Lv, Zehai Chen, Yacong Yang, Guofang Ma, Yanchao Tan, Carl Yang
BoxCare: A Box Embedding Model for Disease Representation and Diagnosis Prediction in Healthcare Data. WWW (Companion Volume) (2024)
Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. AAAI (2024)
Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. IJCAI (2023)
Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl Yang
Finding High-Quality Item Attributes for Recommendation. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. ACM Multimedia (2023)
Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang
WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding. NeurIPS (2023)
Weiming Liu, Xiaolin Zheng, Chaochao Chen, Mengling Hu, Xinting Liao, Fan Wang, Yanchao Tan, Dan Meng, Jun Wang
Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. ACM Multimedia (2023)
Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl J. Yang
Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. ICDM (2023)
Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness. ACM Multimedia (2023)
Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan
Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. WWW (2023)
Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness. CoRR (2023)
Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. CoRR (2023)
Zhenghong Lin, Yanchao Tan, Yunfei Zhan, Weiming Liu, Fan Wang, Chaochao Chen, Shiping Wang, Carl Yang
Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. ACM Multimedia (2023)
Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. CoRR (2023)
Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. IJCAI (2023)
Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Xiaolin Zheng
Partial Relaxed Optimal Transport for Denoised Recommendation. CoRR (2022)
Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang
4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. KDD (2022)
Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. SIGIR (2022)
Piaopiao Jin, Yinjie Lin, Yanchao Tan, Tiefeng Li, Wei Yang
Multi-Modal Fusion in Contact-Rich Precise Tasks via Hierarchical Policy Learning. CoRR (2022)
Yanchao Tan, Carl Yang, Yanchao Tan, Ziyue Wu, Weiming Liu, Xiaolin Zheng
Partial Relaxed Optimal Transport for Denoised Recommendation. DL4SR@CIKM (2022)
Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. ICDE (2022)
Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. SIGIR (2022)
Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng
Multi-Facet Recommender Networks with Spherical Optimization. CoRR (2021)
Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng
Multi-Facet Recommender Networks with Spherical Optimization. ICDE (2021)
Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan
FinBrain: when finance meets AI 2.0. Frontiers Inf. Technol. Electron. Eng. 20 (7) (2019)
Junlong Zhou, Jianming Yan, Kun Cao, Yanchao Tan, Tongquan Wei, Mingsong Chen, Gongxuan Zhang, Xiaodao Chen, Shiyan Hu
Thermal-aware correlated two-level scheduling of real-time tasks with reduced processor energy on heterogeneous MPSoCs. J. Syst. Archit. 82 (2018)
Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan
FinBrain: When Finance Meets AI 2.0. CoRR (2018)
Yanchao Tan, Xiaolin Zheng, Mengying Zhu, Chaohui Wang, Zhifeng Zhu, Lifeng Yu
Investment Recommendation with Total Capital Value Maximization in Online P2P Lending. ICEBE (2017)