Weiming Liu

According to our database, Weiming Liu authored at least 47 papers between 2021 and 2024.

Collaborative distances:

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

2024

Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation.

Xiaolin Zheng, Weiming Liu, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan

IEEE Trans. Knowl. Data Eng., December, 2024

Self-Driven Dual-Path Learning for Reference-Based Line Art Colorization Under Limited Data.

Shukai Wu, Xiao Yan, Weiming Liu, Shuchang Xu, Sanyuan Zhang

IEEE Trans. Circuits Syst. Video Technol., March, 2024

Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization.

Zhenghong Lin, Qishan Yan, Weiming Liu, Shiping Wang, Menghan Wang, Yanchao Tan, Carl Yang

IEEE Trans. Multim., 2024

FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection.

Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng

CoRR, 2024

Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects.

Yingrong Wang, Anpeng Wu, Haoxuan Li, Weiming Liu, Qiaowei Miao, Ruoxuan Xiong, Fei Wu, Kun Kuang

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

GraphSAGE-based POI Recommendation via Continuous-Time Modeling.

Yuwen Liu, Lianyong Qi, Weiming Liu, Xiaolong Xu, Xuyun Zhang, Wanchun Dou

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

Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport.

Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis.

Hua Yu, Weiming Liu, Jiapeng Bai, Xu Gui, Yaqing Hou, Yew-Soon Ong, Qiang Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

HOGDA: Boosting Semi-supervised Graph Domain Adaptation via High-Order Structure-Guided Adaptive Feature Alignment.

Jun Dan, Weiming Liu, Mushui Liu, Chunfeng Xie, Shunjie Dong, Guofang Ma, Yanchao Tan, Jiazheng Xing

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation.

Fan Wang, Chaochao Chen, Weiming Liu, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation.

Lianyong Qi, Yuwen Liu, Weiming Liu, Shichao Pei, Xiaolong Xu, Xuyun Zhang, Yingjie Wang, Wanchun Dou

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning.

Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu, Xinting Liao, Fan Wang, Shiping Wang, Yanchao Tan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation.

Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Heterogeneous Hypergraph Structure Learning for Multimedia Recommendation.

Yanchao Tan, Zhenghong Lin, Sujie Pan, Siying Xu, Weiming Liu, Guofang Ma, Shiping Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation.

Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang

Proceedings of the 40th IEEE International Conference on Data Engineering, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems.

Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation.

Weiming Liu, Xiaolin Zheng, Jiajie Su, Longfei Zheng, Chaochao Chen, Mengling Hu

IEEE Trans. Knowl. Data Eng., November, 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

Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation.

Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu

Proceedings of the ACM Web Conference 2023, 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

WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding.

Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition.

Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FlexIcon: Flexible Icon Colorization via Guided Images and Palettes.

Shukai Wu, Yuhang Yang, Shuchang Xu, Weiming Liu, Xiao Yan, Sanyuan Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation.

Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng

Proceedings of the 31st ACM International Conference on Multimedia, 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

Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation.

Zhenghong Lin, Yanchao Tan, Yunfei Zhan, Weiming Liu, Fan Wang, Chaochao Chen, Shiping Wang, Carl Yang

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

In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems.

Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li

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

Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression.

Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang

Proceedings of the IEEE International Conference on Data Mining, 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

RefFaceNet: Reference-based Face Image Generation from Line Art Drawings.

Shukai Wu, Weiming Liu, Qingqin Wang, Sanyuan Zhang, Zhenjie Hong, Shuchang Xu

Neurocomputing, 2022

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation.

Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen

CoRR, 2022

Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation.

Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data.

Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation.

Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation.

Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation.

Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Partial Relaxed Optimal Transport for Denoised Recommendation.

Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Weiming Liu, Xiaolin Zheng

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021

Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation.

Weiming Liu, Jiajie Su, Chaochao Chen, Xiaolin Zheng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021