Xinting Liao

According to our database, Xinting Liao authored at least 15 papers between 2022 and 2024.

Collaborative distances:

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

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

CoRR, 2024

Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal.

Jianheng Huang, Leyang Cui, Ante Wang, Chengyi Yang, Xinting Liao, Linfeng Song, Junfeng Yao, Jinsong Su

CoRR, 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

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

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

Federated Learning for Short Text Clustering.

Mengling Hu, Chaochao Chen, Weiming Liu, Xinting Liao, Xiaolin Zheng

CoRR, 2023

Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering.

Mengling Hu, Chaochao Chen, Weiming Liu, Xinyi Zhang, Xinting Liao, Xiaolin Zheng

CoRR, 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

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

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

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

Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering.

Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation.

Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A hybrid teaching-learning-based optimization algorithm for QoS-aware manufacturing cloud service composition.

Hong Jin, Cheng Jiang, Shengping Lv, Haiping He, Xinting Liao

Computing, 2022