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2020 – today
- 2024
[j7]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: 124397 (2024)- [j6]Aiping Huang, Zihan Fang, Zhihao Wu, Yanchao Tan, Peng Han, Shiping Wang, Le Zhang:
Multi-view heterogeneous graph learning with compressed hypergraph neural networks. Neural Networks 179: 106562 (2024) - [j5]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: 5680-5693 (2024) - [j4]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: 8889-8901 (2024) - [c28]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: 8815-8823 - [c27]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. CVPR 2024: 22841-22850 - [c26]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: 1310-1323 - [c25]Yanchao Tan, Zhenghong Lin, Sujie Pan, Siying Xu, Weiming Liu, Guofang Ma, Shiping Wang:
Heterogeneous Hypergraph Structure Learning for Multimedia Recommendation. ICME 2024: 1-6 - [c24]Hengyu Zhang, Hang Lv, Yanchao Tan, Guofang Ma, Fan Wang, Carl Yang:
ExpertODE: Continuous Diagnosis Prediction with Expert Enhanced Neural Ordinary Differential Equations. ICME 2024: 1-6 - [c23]Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong:
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. ICML 2024 - [c22]Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu, Xinting Liao, Fan Wang, Shiping Wang, Yanchao Tan:
Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning. IJCAI 2024: 2153-2161 - [c21]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: 3013-3023 - [c20]Jun Dan, Weiming Liu, Mushui Liu, Chunfeng Xie, Shunjie Dong, Guofang Ma, Yanchao Tan, Jiazheng Xing:
HOGDA: Boosting Semi-supervised Graph Domain Adaptation via High-Order Structure-Guided Adaptive Feature Alignment. ACM Multimedia 2024: 11109-11118 - [c19]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: 334-343 - [c18]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: 1130-1133 - [c17]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: 1166-1169 - [i9]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 abs/2403.04780 (2024) - [i8]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 abs/2403.16398 (2024) - 2023
- [j3]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): 7980-7993 (2023) - [c16]Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang:
Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. ICDM 2023: 1349-1354 - [c15]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: 2206-2214 - [c14]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: 3957-3965 - [c13]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: 1536-1545 - [c12]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: 6234-6242 - [c11]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: 6243-6252 - [c10]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: 8719-8729 - [c9]Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang:
WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding. NeurIPS 2023 - [c8]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: 383-394 - [i7]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 abs/2307.14384 (2023) - [i6]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 abs/2308.03666 (2023) - [i5]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 abs/2308.11646 (2023) - 2022
- [c7]Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Weiming Liu, Xiaolin Zheng:
Partial Relaxed Optimal Transport for Denoised Recommendation. DL4SR@CIKM 2022 - [c6]Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng:
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. ICDE 2022: 1180-1192 - [c5]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: 3970-3980 - [c4]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: 312-321 - [c3]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: 449-459 - [i4]Piaopiao Jin, Yinjie Lin, Yanchao Tan, Tiefeng Li, Wei Yang:
Multi-Modal Fusion in Contact-Rich Precise Tasks via Hierarchical Policy Learning. CoRR abs/2202.08401 (2022) - [i3]Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Xiaolin Zheng:
Partial Relaxed Optimal Transport for Denoised Recommendation. CoRR abs/2204.08619 (2022) - 2021
- [c2]Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng:
Multi-Facet Recommender Networks with Spherical Optimization. ICDE 2021: 1524-1535 - [i2]Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng:
Multi-Facet Recommender Networks with Spherical Optimization. CoRR abs/2103.14866 (2021)
2010 – 2019
- 2019
- [j2]Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan:
FinBrain: when finance meets AI 2.0. Frontiers Inf. Technol. Electron. Eng. 20(7): 914-924 (2019) - 2018
- [j1]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: 1-11 (2018) - [i1]Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan:
FinBrain: When Finance Meets AI 2.0. CoRR abs/1808.08497 (2018) - 2017
- [c1]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: 159-165
Coauthor Index
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