Xinting Liao - RankMe

41 papers A* 19A 2Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RVCBench: Benchmarking the Robustness of Voice Cloning Across Modern Audio Generation Models. CoRR Xinting Liao, Ruinan Jin, Hanlin Yu, Deval Pandya, Xiaoxiao Li
2026	J	`jnl`	When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LVLMs. CoRR Beidi Zhao, Wenlong Deng, Xinting Liao, Yushu Li, Nazim Shaikh, Yao Nie, Xiaoxiao Li
2025	A*	`conf`	Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment. CVPR Weiming Liu, Jun Dan, Fan Wang, Xinting Liao, Junhao Dong, Hua Yu, Shunjie Dong, Lianyong Qi
2025	A*	`conf`	Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization. ICML Xiuyuan Wang, Chaochao Chen, Weiming Liu, Xinting Liao, Fan Wang, Xiaolin Zheng
2025	A*	`conf`	FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. ICML Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chaochao Chen, Xiaolin Zheng, Tat-Seng Chua
2025	J	`jnl`	FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. CoRR Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chao-Chao Chen, Xiaolin Zheng, Tat-Seng Chua
2025	A	`conf`	FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. WSDM Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Fengyuan Yu, Zhihui Fu, Xingyu Lou, Wu Wen, Xiaolin Zheng, Jun Wang
2025	A*	`conf`	FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation. AAAI Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Wenkai Shen, Jiahe Xu, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng
2025	A*	`conf`	Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation. SIGIR Pengyang Zhou, Chaochao Chen, Weiming Liu, Wenkai Shen, Xinting Liao, Huarong Deng, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng
2025	A*	`conf`	Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. WWW Weiming Liu, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Xiaolin Zheng, Zhihui Fu, Ruiguang Pei, Jun Wang
2025	J	`jnl`	Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. CoRR Weiming Liu, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Xiaolin Zheng, Zhihui Fu, Ruiguang Pei, Jun Wang
2025	A	`conf`	Personalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype. CIKM Jiaming Qian, Xinting Liao, Xiangmou Qu, Zhihui Fu, Xingyu Lou, Changwang Zhang, Pengyang Zhou, Zijun Zhou, Jun Wang, Chaochao Chen
2025	—	`conf`	Tackling Federated Long-Tailed Learning via Synthetic Feature-Based Decoupled Training. KDD (2) Huabin Zhu, Chaochao Chen, Xinting Liao, Pengyang Zhou, Xiaolin Zheng
2024	A*	`conf`	CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. KDD Fan Wang, Chaochao Chen, Weiming Liu, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng
2024	A*	`conf`	Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning. IJCAI Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu, Xinting Liao, Fan Wang, Shiping Wang, Yanchao Tan
2024	—	`conf`	Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows. WWW (Companion Volume) Yanchao Tan, Hengyu Zhang, Zihao Zhou, Guofang Ma, Fan Wang, Weiming Liu, Xinting Liao, Vicki Stover Hertzberg, Carl Yang
2024	A*	`conf`	FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection. NeurIPS Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng
2024	J	`jnl`	FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection. CoRR Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng
2024	A*	`conf`	Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. AAAI Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong
2024	J	`jnl`	Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation. IEEE Trans. Knowl. Data Eng. Xiaolin Zheng, Weiming Liu, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan
2024	—	`conf`	Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal. ACL (1) Jianheng Huang, Leyang Cui, Ante Wang, Chengyi Yang, Xinting Liao, Linfeng Song, Junfeng Yao, Jinsong Su
2024	J	`jnl`	Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal. CoRR Jianheng Huang, Leyang Cui, Ante Wang, Chengyi Yang, Xinting Liao, Linfeng Song, Junfeng Yao, Jinsong Su
2024	A*	`conf`	Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. ICML Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong
2024	A*	`conf`	Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CVPR Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan
2024	J	`jnl`	Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CoRR Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan
2024	—	`conf`	Trustworthy dual-scale defect detection network for diversified electronic products. CASE Xinting Liao, Jie Zhang, Junliang Wang
2024	A*	`conf`	User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation. WWW Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jiajie Su, Yanchao Tan, Fan Wang
2023	A*	`conf`	Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. ACM Multimedia Weiming Liu, Xiaolin Zheng, Chaochao Chen, Mengling Hu, Xinting Liao, Fan Wang, Yanchao Tan, Dan Meng, Jun Wang
2023	J	`jnl`	Federated Learning for Short Text Clustering. CoRR Mengling Hu, Chaochao Chen, Weiming Liu, Xinting Liao, Xiaolin Zheng
2023	A*	`conf`	Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. IJCAI Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng
2023	A*	`conf`	HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. IJCAI Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi
2023	J	`jnl`	HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. CoRR Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi
2023	A*	`conf`	Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. WWW Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan
2023	A*	`conf`	Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. ACM Multimedia Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
2023	J	`jnl`	Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. CoRR Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
2023	J	`jnl`	Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering. CoRR Mengling Hu, Chaochao Chen, Weiming Liu, Xinyi Zhang, Xinting Liao, Xiaolin Zheng
2023	A*	`conf`	PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. AAAI Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen
2023	J	`jnl`	PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. CoRR Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen
2023	—	`conf`	Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. ACL (1) Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao
2023	J	`jnl`	Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. CoRR Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao
2022	J	`jnl`	A hybrid teaching-learning-based optimization algorithm for QoS-aware manufacturing cloud service composition. Computing Hong Jin, Cheng Jiang, Shengping Lv, Haiping He, Xinting Liao