Weiming Liu - RankMe

95 papers A* 55A 2Journal 33Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cluster-Enhanced Dual Discrete Collaborative Filtering for Efficient Recommendation. IEEE Trans. Knowl. Data Eng. Fan Wang, Chaochao Chen, Weiming Liu, Lianyong Qi, Xuyun Zhang, Yanchao Tan, Mengying Zhu, Xiaolin Zheng
2026	A*	`conf`	Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation. AAAI Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Xuhui Fan, Qiang Ni, Xuyun Zhang, Yang Zhang, Yuan Tian, Amin Beheshti
2026	A*	`conf`	IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction. AAAI Weiyi Zhong, Weiming Liu, Lianyong Qi, Xiaoran Zhao, Xiaolong Xu, Haolong Xiang, Yang Cao, Shichao Pei, Qiang Ni
2026	A*	`conf`	Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation. WWW Jianye Xie, Lianyong Qi, Weiming Liu, Anqi Wang, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Wenwen Gong, Yang Zhang, Amin Beheshti, Wanchun Dou
2026	A*	`conf`	Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm. AAAI Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiang Chen, Xiaolin Zheng, Chaochao Chen
2026	A*	`conf`	Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models. AAAI Haodong Li, Lianyong Qi, Weiming Liu, Fan Wang, Chong Li, Shengye Pang, Wenwen Gong, Yanwei Xu, Xiaoxiao Chi, Yang Zhang, Xiaokang Zhou
2025	A*	`conf`	Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation. IJCAI Haodong Li, Lianyong Qi, Weiming Liu, Xiaolong Xu, Wanchun Dou, Yang Cao, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou
2025	A*	`conf`	Boosting Guided Diffusion with Large Language Models for Multimodal Sequential Recommendation. ACM Multimedia Te Song, Lianyong Qi, Weiming Liu, Fan Wang, Xiaolong Xu, Hongsheng Hu, Yang Cao, Xuyun Zhang, Amin Beheshti
2025	J	`jnl`	Contrastive Hypergraph Flows With Multifaceted Gates for Cross-Domain Sequential Recommendation. IEEE Trans. Serv. Comput. Jiajie Su, Xiaolin Zheng, Zibin Lin, Weiming Liu, Chaochao Chen, Jianwei Yin
2025	A*	`conf`	DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation. AAAI Fan Wang, Chaochao Chen, Weiming Liu, Minye Lei, Jintao Chen, Yuwen Liu, Xiaolin Zheng, Jianwei Yin
2025	A*	`conf`	Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis. CVPR Hua Yu, Weiming Liu, Gui Xu, Yaqing Hou, Yew-Soon Ong, Qiang Zhang
2025	J	`jnl`	Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis. CoRR Hua Yu, Weiming Liu, Gui Xu, Yaqing Hou, Yew-Soon Ong, Qiang Zhang
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	J	`jnl`	DuAda: Adaptive Targeted Model Poisoning Attack Framework via Dummy User Simulation on Federated Recommendation. ACM Trans. Inf. Syst. Jiajie Su, Chaochao Chen, Yihao Wang, Weiming Liu, Yuyuan Li, Tao Wang, Zhigang Li, Xiaolin Zheng, Jianwei Yin
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`	Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation. AAAI Te Song, Lianyong Qi, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou, Wanchun Dou
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`	Hyperbolic Variational Graph Auto-Encoder for Next POI Recommendation. WWW Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Wanchun Dou, Xiaokang Zhou, Amin Beheshti
2025	A*	`conf`	Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices. ICML Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong
2025	J	`jnl`	Inter- and Intra-Similarity Preserved Counterfactual Incentive Effect Estimation for Recommendation Systems. ACM Trans. Inf. Syst. Fan Wang, Lianyong Qi, Weiming Liu, Bowen Yu, Jintao Chen, Yanwei Xu
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`	Joint Test-time Adaptation with Refined Pseudo-labels and Latent Score Matching. ACM Multimedia Yijie Yang, Lianyong Qi, Weiming Liu, Fan Wang, Jing Du, Yuwen Liu, Xiaolong Xu, Qiang Ni, Wanchun Dou, Xiaokang Zhou
2025	—	`conf`	Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation. KDD (2) Jiajie Su, Chaochao Chen, Weiming Liu, Yuhang Wang, Yihao Wang, Zheqi Lv, Xiaolin Zheng, Jianwei Yin
2025	J	`jnl`	Multi-Objective Unlearning in Recommender Systems via Preference Guided Pareto Exploration. IEEE Trans. Serv. Comput. Yuyuan Li, Yizhao Zhang, Weiming Liu, Xiaohua Feng, Zhongxuan Han, Chaochao Chen, Chenggang Yan
2025	J	`jnl`	PerFedKG: two-stage information-loop federated knowledge graph for personalized privacy-preserving recommendation systems. Sci. China Inf. Sci. Fan Wang, Xuyun Zhang, Weiming Liu, Li Li, Yuwen Liu, Zhongyuan Zhang, Guanfeng Liu, Shengye Pang, Xiaolong Xu, Lianyong Qi
2025	J	`jnl`	Potent but Stealthy: Rethink Profile Pollution against Sequential Recommendation via Bi-level Constrained Reinforcement Paradigm. CoRR Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiaolin Zheng, Chaochao Chen
2025	J	`jnl`	Structure-Preserving Counterfactual Regression for Personalized Consumer-Electronics Service Networks. IEEE Trans. Consumer Electron. Fan Wang, Weiming Liu, Chaochao Chen, Renwu Geng, Lianyong Qi, Xiaolin Zheng
2025	A*	`conf`	Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation. IJCAI Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Shichao Pei, Fan Wang, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou
2024	J	`jnl`	Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization. IEEE Trans. Multim. Zhenghong Lin, Qishan Yan, Weiming Liu, Shiping Wang, Menghan Wang, Yanchao Tan, Carl Yang
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`	Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation. IJCAI Lianyong Qi, Yuwen Liu, Weiming Liu, Shichao Pei, Xiaolong Xu, Xuyun Zhang, Yingjie Wang, Wanchun Dou
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	—	`conf`	GraphSAGE-based POI Recommendation via Continuous-Time Modeling. WWW (Companion Volume) Yuwen Liu, Lianyong Qi, Weiming Liu, Xiaolong Xu, Xuyun Zhang, Wanchun Dou
2024	A*	`conf`	HOGDA: Boosting Semi-supervised Graph Domain Adaptation via High-Order Structure-Guided Adaptive Feature Alignment. ACM Multimedia Jun Dan, Weiming Liu, Mushui Liu, Chunfeng Xie, Shunjie Dong, Guofang Ma, Yanchao Tan, Jiazheng Xing
2024	A	`conf`	Heterogeneous Hypergraph Structure Learning for Multimedia Recommendation. ICME Yanchao Tan, Zhenghong Lin, Sujie Pan, Siying Xu, Weiming Liu, Guofang Ma, Shiping Wang
2024	A*	`conf`	Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. AAAI Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin
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	A*	`conf`	Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. ICDE Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang
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	J	`jnl`	Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects. CoRR Yingrong Wang, Anpeng Wu, Haoxuan Li, Weiming Liu, Qiaowei Miao, Ruoxuan Xiong, Fei Wu, Kun Kuang
2024	J	`jnl`	Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. CoRR Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng
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	A*	`conf`	Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. SIGIR Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng
2024	J	`jnl`	Self-Driven Dual-Path Learning for Reference-Based Line Art Colorization Under Limited Data. IEEE Trans. Circuits Syst. Video Technol. Shukai Wu, Xiao Yan, Weiming Liu, Shuchang Xu, Sanyuan Zhang
2024	A*	`conf`	TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering. NeurIPS Jun Dan, Weiming Liu, Chunfeng Xie, Hua Yu, Shunjie Dong, Yanchao Tan
2024	A*	`conf`	Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis. ACM Multimedia Hua Yu, Weiming Liu, Jiapeng Bai, Xu Gui, Yaqing Hou, Yew-Soon Ong, Qiang Zhang
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`	Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. ACM Multimedia Zhenghong Lin, Yanchao Tan, Yunfei Zhan, Weiming Liu, Fan Wang, Chaochao Chen, Shiping Wang, Carl Yang
2023	J	`jnl`	Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. Weiming Liu, Xiaolin Zheng, Jiajie Su, Longfei Zheng, Chaochao Chen, Mengling Hu
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	A*	`conf`	Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. WWW Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu
2023	A*	`conf`	Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. ICDM Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang
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`	FlexIcon: Flexible Icon Colorization via Guided Images and Palettes. ACM Multimedia Shukai Wu, Yuhang Yang, Shuchang Xu, Weiming Liu, Xiao Yan, Sanyuan Zhang
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`	In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. ACM Multimedia Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li
2023	J	`jnl`	In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. CoRR Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li
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`	Optimal Transport for Treatment Effect Estimation. NeurIPS Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
2023	J	`jnl`	Optimal Transport for Treatment Effect Estimation. CoRR Hao Wang, Zhichao Chen, Jiajun Fan, Haoxuan Li, Tianqiao Liu, Weiming Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
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	A*	`conf`	Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. ACM Multimedia Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng
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
2023	A*	`conf`	UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition. NeurIPS Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang
2023	A*	`conf`	WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding. NeurIPS Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang
2022	A*	`conf`	Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. WWW Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen
2022	J	`jnl`	Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. CoRR Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen
2022	A*	`conf`	DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. ACM Multimedia Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen
2022	J	`jnl`	DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. CoRR Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen
2022	J	`jnl`	Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications. CoRR Hao Wang, Zhichao Chen, Jiajun Fan, Yuxin Huang, Weiming Liu, Xinggao Liu
2022	A*	`conf`	Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. SIGIR Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen
2022	J	`jnl`	Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. CoRR Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen
2022	A*	`conf`	HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. IJCAI Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng
2022	J	`jnl`	HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. CoRR Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng
2022	A*	`conf`	MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. SIGIR Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng
2022	—	`conf`	Partial Relaxed Optimal Transport for Denoised Recommendation. DL4SR@CIKM Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Weiming Liu, Xiaolin Zheng
2022	J	`jnl`	RefFaceNet: Reference-based Face Image Generation from Line Art Drawings. Neurocomputing Shukai Wu, Weiming Liu, Qingqin Wang, Sanyuan Zhang, Zhenjie Hong, Shuchang Xu
2021	A*	`conf`	Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation. NeurIPS Weiming Liu, Jiajie Su, Chaochao Chen, Xiaolin Zheng