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Journal Articles
- 2022
[j1]Hong Jin, Cheng Jiang, Shengping Lv, Haiping He, Xinting Liao:
A hybrid teaching-learning-based optimization algorithm for QoS-aware manufacturing cloud service composition. Computing 104(11): 2489-2509 (2022)
Conference and Workshop Papers
- 2024
- [c16]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 - [c15]Jianheng Huang, Leyang Cui, Ante Wang, Chengyi Yang, Xinting Liao, Linfeng Song, Junfeng Yao, Jinsong Su:
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal. ACL (1) 2024: 1416-1428 - [c14]Xinting Liao, Jie Zhang, Junliang Wang:
Trustworthy dual-scale defect detection network for diversified electronic products. CASE 2024: 1497-1502 - [c13]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 - [c12]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 - [c11]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 - [c10]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 - [c9]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 - [c8]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 - 2023
- [c7]Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen:
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. AAAI 2023: 4453-4461 - [c6]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 - [c5]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 - [c4]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 - [c3]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 - [c2]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 - [c1]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
Informal and Other Publications
- 2024
- [i8]Jianheng Huang, Leyang Cui, Ante Wang, Chengyi Yang, Xinting Liao, Linfeng Song, Junfeng Yao, Jinsong Su:
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal. CoRR abs/2403.01244 (2024) - [i7]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
- [i6]Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen:
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. CoRR abs/2305.16163 (2023) - [i5]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) - [i4]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) - [i3]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) - [i2]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) - [i1]Mengling Hu, Chaochao Chen, Weiming Liu, Xinting Liao, Xiaolin Zheng:
Federated Learning for Short Text Clustering. CoRR abs/2312.07556 (2023)
Coauthor Index
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