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2020 – today
- 2024
[c11]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- [c10]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 - 2023
- [j1]Weiming Liu, Xiaolin Zheng, Jiajie Su, Longfei Zheng, Chaochao Chen, Mengling Hu:
Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 35(11): 11216-11230 (2023) - [c9]Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao:
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. ACL (1) 2023: 10493-10507 - [c8]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 - [c7]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 - [c6]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 - [c5]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 - [i6]Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao:
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. CoRR abs/2305.16335 (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) - [i4]Mengling Hu, Chaochao Chen, Weiming Liu, Xinyi Zhang, Xinting Liao, Xiaolin Zheng:
Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering. CoRR abs/2311.13953 (2023) - [i3]Mengling Hu, Chaochao Chen, Weiming Liu, Xinting Liao, Xiaolin Zheng:
Federated Learning for Short Text Clustering. CoRR abs/2312.07556 (2023) - 2022
- [c4]Huaxiong Yao, Renyi Chen, Zuoquan Xie, Juntao Yang, Mengling Hu, Jia Guo:
MRA-DGCN: Multi-Range Attention-Based Dynamic Graph Convolutional Network for Traffic Prediction. IEEE Big Data 2022: 1613-1621 - [c3]Huaxiong Yao, Juntao Yang, Zuoquan Xie, Jia Guo, Renyi Chen, Mengling Hu:
PCKT: Problem Composition in Knowledge Tracking. ICETC 2022: 442-448 - [c2]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 - [c1]Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen:
Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. WWW 2022: 1181-1190 - [i2]Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen:
Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. CoRR abs/2202.04920 (2022) - [i1]Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen:
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. CoRR abs/2205.06440 (2022)
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