Investment Recommendation with Total Capital Value Maximization in Online P2P Lending. - Yanchao Tan; Xiaolin Zheng; Mengying Zhu; Chaohui Wang; Zhifeng Zhu; Lifeng Yu (ICEBE, 2017)

Thermal-aware correlated two-level scheduling of real-time tasks with reduced processor energy on heterogeneous MPSoCs. - Junlong Zhou; Jianming Yan; Kun Cao 001; Yanchao Tan; Tongquan Wei; Mingsong Chen 001; Gongxuan Zhang; Xiaodao Chen; Shiyan Hu 001 (J. Syst. Archit., 2018)

FinBrain: when finance meets AI 2.0. - Xiaolin Zheng; Mengying Zhu; Qibing Li; Chaochao Chen 001; Yanchao Tan (Frontiers Inf. Technol. Electron. Eng., 2019)

Multi-Facet Recommender Networks with Spherical Optimization. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Yun Ma 009; Xiaolin Zheng (ICDE, 2021)

Partial Relaxed Optimal Transport for Denoised Recommendation. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Ziyue Wu; Weiming Liu 005; Xiaolin Zheng (DL4SR@CIKM, 2022)

Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Chaochao Chen 001; Longfei Li; Xiaolin Zheng (ICDE, 2022)

4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. - Yanchao Tan; Chengjun Kong; Leisheng Yu; Pan Li 005; Chaochao Chen 001; Xiaolin Zheng; Vicki Hertzberg; Carl Yang 001 (KDD, 2022)

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Jiajie Su; Mengling Hu; Yanchao Tan; Chaochao Chen 001 (SIGIR, 2022)

MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Chaochao Chen 001; Weiming Liu 005; Longfei Li; Jun Zhou 011; Xiaolin Zheng (SIGIR, 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)

Partial Relaxed Optimal Transport for Denoised Recommendation. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Ziyue Wu; Xiaolin Zheng (CoRR, 2022)

Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. - Yanchao Tan; Zihao Zhou; Leisheng Yu; Weiming Liu 005; Chaochao Chen 001; Guofang Ma; Xiao Hu 002; Vicki Stover Hertzberg; Carl Yang 001 (ICDM, 2023)

HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. - Xinting Liao; Weiming Liu 005; Chaochao Chen 001; Pengyang Zhou; Huabin Zhu; Yanchao Tan; Jun Wang 020; Yue Qi (IJCAI, 2023)

Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. - Weiming Liu 005; Chaochao Chen 001; Xinting Liao; Mengling Hu; Jianwei Yin; Yanchao Tan; Longfei Zheng (IJCAI, 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 (ACM Multimedia, 2023)

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. - Xinting Liao; Chaochao Chen 001; Weiming Liu 005; Pengyang Zhou; Huabin Zhu; Shuheng Shen; Weiqiang Wang 002; Mengling Hu; Yanchao Tan; Xiaolin Zheng (ACM Multimedia, 2023)

Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. - Zhenghong Lin; Yanchao Tan; Yunfei Zhan; Weiming Liu 005; Fan Wang 020; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (ACM Multimedia, 2023)

Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001; Mengling Hu; Xinting Liao; Fan Wang 020; Yanchao Tan; Dan Meng 001; Jun Wang 020 (ACM Multimedia, 2023)

WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding. - Yanchao Tan; Zihao Zhou; Hang Lv 010; Weiming Liu 005; Carl Yang 001 (NeurIPS, 2023)

Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. - Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001; Jiajie Su; Xinting Liao; Mengling Hu; Yanchao Tan (WWW, 2023)

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. - Xinting Liao; Chaochao Chen 001; Weiming Liu 005; Pengyang Zhou; Huabin Zhu; Shuheng Shen; Weiqiang Wang; Mengling Hu; Yanchao Tan; Xiaolin Zheng (CoRR, 2023)

Finding High-Quality Item Attributes for Recommendation. - Xiaolin Zheng; Yanchao Tan; Yan Wang 002; Xiangyu Wei; Shengjia Zhang; Chaochao Chen 001; Longfei Li; Carl Yang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. - Weiming Liu 005; Chaochao Chen 001; Xinting Liao; Mengling Hu; Yanchao Tan; Fan Wang 020; Xiaolin Zheng; Yew Soon Ong (AAAI, 2024)

Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. - Xinting Liao; Weiming Liu 005; Chaochao Chen 001; Pengyang Zhou; Fengyuan Yu; Huabin Zhu; Binhui Yao; Tao Wang; Xiaolin Zheng; Yanchao Tan (CVPR, 2024)

Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. - Yanchao Tan; Hang Lv 010; Zihao Zhou; Wenzhong Guo; Bo Xiong; Weiming Liu 005; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (ICDE, 2024)

Heterogeneous Hypergraph Structure Learning for Multimedia Recommendation. - Yanchao Tan; Zhenghong Lin; Sujie Pan; Siying Xu; Weiming Liu 005; Guofang Ma; Shiping Wang (ICME, 2024)

ExpertODE: Continuous Diagnosis Prediction with Expert Enhanced Neural Ordinary Differential Equations. - Hengyu Zhang 001; Hang Lv 010; Yanchao Tan; Guofang Ma; Fan Wang 020; Carl Yang 001 (ICME, 2024)

Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001; Jiahe Xu 003; Xinting Liao; Fan Wang 020; Yanchao Tan; Yew-Soon Ong (ICML, 2024)

Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning. - Zhenghong Lin; Wei Huang; Hengyu Zhang 001; Jiayu Xu; Weiming Liu 005; Xinting Liao; Fan Wang 020; Shiping Wang; Yanchao Tan (IJCAI, 2024)

CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. - Fan Wang 020; Chaochao Chen 001; Weiming Liu 005; Tianhao Fan; Xinting Liao; Yanchao Tan; Lianyong Qi; Xiaolin Zheng (KDD, 2024)

HOGDA: Boosting Semi-supervised Graph Domain Adaptation via High-Order Structure-Guided Adaptive Feature Alignment. - Jun Dan; Weiming Liu 005; Mushui Liu; Chunfeng Xie; Shunjie Dong; Guofang Ma; Yanchao Tan; Jiazheng Xing (ACM Multimedia, 2024)

TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering. - Jun Dan; Weiming Liu 005; Chunfeng Xie; Hua Yu 006; Shunjie Dong; Yanchao Tan (NeurIPS, 2024)

User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation. - Weiming Liu 005; Chaochao Chen 001; Xinting Liao; Mengling Hu; Jiajie Su; Yanchao Tan; Fan Wang 020 (WWW, 2024)

BoxCare: A Box Embedding Model for Disease Representation and Diagnosis Prediction in Healthcare Data. - Hang Lv 010; Zehai Chen; Yacong Yang; Guofang Ma; Yanchao Tan; Carl Yang 001 (WWW (Companion Volume), 2024)

Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows. - Yanchao Tan; Hengyu Zhang 001; Zihao Zhou; Guofang Ma; Fan Wang 020; Weiming Liu 005; Xinting Liao; Vicki Stover Hertzberg; Carl Yang 001 (WWW (Companion Volume), 2024)

MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining. - Yanchao Tan; Hang Lv 010; Xinyi Huang; Jiawei Zhang 002; Shiping Wang; Carl Yang 001 (CoRR, 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)

Multi-view heterogeneous graph learning with compressed hypergraph neural networks. - Aiping Huang; Zihan Fang; Zhihao Wu 003; Yanchao Tan; Peng Han 005; Shiping Wang; Le Zhang 001 (Neural Networks, 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)

Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization. - Zhenghong Lin; Qishan Yan; Weiming Liu 005; Shiping Wang; Menghan Wang; Yanchao Tan; Carl Yang 001 (IEEE Trans. Multim., 2024)

Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation. - Xiaolin Zheng; Weiming Liu 005; Chaochao Chen 001; Jiajie Su; Xinting Liao; Mengling Hu; Yanchao Tan (IEEE Trans. Knowl. Data Eng., 2024)

OpenViewer: Openness-Aware Multi-View Learning. - Shide Du; Zihan Fang; Yanchao Tan; Changwei Wang 001; Shiping Wang; Wenzhong Guo (AAAI, 2025)

Large Language Model Empowered Logical Relations Mining for Personalized Recommendation. - Yanchao Tan; Wanzi Shao; Guofang Ma; Carl Yang 001 (WWW (Companion Volume), 2025)

Heterogeneous Graph Embedding with Dual Edge Differentiation. - Yuhong Chen; Fuhai Chen; Zhihao Wu 003; Zhaoliang Chen; Zhiling Cai; Yanchao Tan; Shiping Wang (Neural Networks, 2025)

Multi-Perspective Attention Mechanism for Bias-Aware Sequential Recommendation. - Mingjian Fu 001; Hengsheng Chen; Dongchun Jiang; Yanchao Tan (CoRR, 2025)

Scalable multi-modal representation learning networks. - Zihan Fang; Ying Zou 024; Shiyang Lan; Shide Du; Yanchao Tan; Shiping Wang (Artif. Intell. Rev., 2025)

Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation. - Hengyu Zhang 001; Chunxu Shen; Xiangguo Sun; Jie Tang 001; Yanchao Tan; Yu Rong 001; Hong Cheng 001; Lingling Yi (CoRR, 2025)

Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation. - Zhenghong Lin; Yanchao Tan; Jiamin Chen; Hengyu Zhang 001; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (ACM Trans. Inf. Syst., 2025)