Fan Liu

56 papers A* 12A 1Journal 41Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Variational Rectification Inference for Learning with Noisy Labels.
CoRR
Haoliang Sun, Qi Wei, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin
2025 — book
Advancing Recommender Systems with Graph Convolutional Networks
Fan Liu, Liqiang Nie
2025 — conf
CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG.
ACL (1)
Yang Tian, Fan Liu, Jingyuan Zhang, Victoria W., Yupeng Hu, Liqiang Nie
2025 J jnl
CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG.
CoRR
Yang Tian, Fan Liu, Jingyuan Zhang, Victoria W., Yupeng Hu, Liqiang Nie
2025 J jnl
Correction: Variational Rectification Inference for Learning with Noisy Labels.
Int. J. Comput. Vis.
Haoliang Sun, Qi Wei, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin
2025 J jnl
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation.
CoRR
Han Liu, Yinwei Wei, Fan Liu, Wenjie Wang, Liqiang Nie, Tat-Seng Chua
2025 A* conf
Enhancing HOI Detection with Contextual Cues from Large Vision-Language Models.
ACM Multimedia
Yu-Wei Zhan, Fan Liu, Xin Luo, Xin-Shun Xu, Liqiang Nie, Mohan Kankanhalli
2025 A* conf
I
ACM Multimedia
Huilin Chen, Miaomiao Cai, Fan Liu, Zhiyong Cheng, Richang Hong, Meng Wang
2025 J jnl
I
CoRR
Huilin Chen, Miaomiao Cai, Fan Liu, Zhiyong Cheng, Richang Hong, Meng Wang
2025 J jnl
Open Multimodal Retrieval-Augmented Factual Image Generation.
CoRR
Yang Tian, Fan Liu, Jingyuan Zhang, Wei Bi, Yupeng Hu, Liqiang Nie
2025 J jnl
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models.
ACM Trans. Inf. Syst.
Fan Liu, Yaqi Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli
2025 J jnl
User Invariant Preference Learning for Multi-Behavior Recommendation.
CoRR
Mingshi Yan, Zhiyong Cheng, Fan Liu, Yingda Lyu, Yahong Han
2025 J jnl
User Invariant Preference Learning for Multi-Behavior Recommendation.
ACM Trans. Inf. Syst.
Mingshi Yan, Zhiyong Cheng, Fan Liu, Yingda Lyu, Yahong Han
2025 J jnl
Variational Rectification Inference for Learning with Noisy Labels.
Int. J. Comput. Vis.
Haoliang Sun, Qi Wei, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin
2024 A* conf
Attribute-driven Disentangled Representation Learning for Multimodal Recommendation.
ACM Multimedia
Zhenyang Li, Fan Liu, Yinwei Wei, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli
2024 A* conf
Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs.
NeurIPS
Zhao Xu, Fan Liu, Hao Liu
2024 A* conf
Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation.
SIGIR
Mingshi Yan, Fan Liu, Jing Sun, Fuming Sun, Zhiyong Cheng, Yahong Han
2024 J jnl
Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation.
CoRR
Mingshi Yan, Fan Liu, Jing Sun, Fuming Sun, Zhiyong Cheng, Yahong Han
2024 J jnl
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation.
ACM Trans. Inf. Syst.
Mingshi Yan, Zhiyong Cheng, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li
2024 J jnl
Cluster-Based Graph Collaborative Filtering.
ACM Trans. Inf. Syst.
Fan Liu, Shuai Zhao, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli
2024 J jnl
Cluster-based Graph Collaborative Filtering.
CoRR
Fan Liu, Shuai Zhao, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli
2024 J jnl
Decoupled domain-specific and domain-conditional representation learning for cross-domain recommendation.
Inf. Process. Manag.
Yu Zhang, Zhiyong Cheng, Fan Liu, Xun Yang, Yuxin Peng
2024 J jnl
Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation.
CoRR
Zhiyong Cheng, Jianhua Dong, Fan Liu, Lei Zhu, Xun Yang, Meng Wang
2024 J jnl
Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation.
Trans. Recomm. Syst.
Zhiyong Cheng, Jianhua Dong, Fan Liu, Lei Zhu, Xun Yang, Meng Wang
2024 J jnl
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation.
ACM Trans. Inf. Syst.
Han Liu, Yinwei Wei, Fan Liu, Wenjie Wang, Liqiang Nie, Tat-Seng Chua
2024 J jnl
Learning to Agree on Vision Attention for Visual Commonsense Reasoning.
IEEE Trans. Multim.
Zhenyang Li, Yangyang Guo, Kejie Wang, Fan Liu, Liqiang Nie, Mohan S. Kankanhalli
2024 J jnl
Open-Set Synthesis for Free-Viewpoint Human Body Reenactment of Novel Poses.
IEEE Trans. Circuits Syst. Video Technol.
Zhicheng Sheng, Fan Liu, Meng Liu, Feng Zheng, Liqiang Nie
2023 A* conf
Advancing Video Question Answering with a Multi-modal and Multi-layer Question Enhancement Network.
ACM Multimedia
Meng Liu, Fenglei Zhang, Xin Luo, Fan Liu, Yinwei Wei, Liqiang Nie
2023 J jnl
Attribute-driven Disentangled Representation Learning for Multimodal Recommendation.
CoRR
Zhenyang Li, Fan Liu, Yinwei Wei, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli
2023 J jnl
CoGCN: co-occurring item-aware GCN for recommendation.
Neural Comput. Appl.
Xinxiao Zhao, Fan Liu, Hao Liu, Mingzhu Xu, Haoyu Tang, Xueqing Li, Yupeng Hu
2023 J jnl
Deep Temporal State Perception Toward Artificial Cyber-Physical Systems.
IEEE Internet Things J.
Yan Jin, Shaokun Wang, Fan Liu, Hongyun Fan, Yupeng Hu, Xueqing Li, Shijun Liu
2023 J jnl
Disentangled Graph Neural Networks for Session-Based Recommendation.
IEEE Trans. Knowl. Data Eng.
Ansong Li, Zhiyong Cheng, Fan Liu, Zan Gao, Weili Guan, Yuxin Peng
2023 J jnl
Disentangled Multimodal Representation Learning for Recommendation.
IEEE Trans. Multim.
Fan Liu, Huilin Chen, Zhiyong Cheng, Anan Liu, Liqiang Nie, Mohan S. Kankanhalli
2023 J jnl
Dual attentive graph convolutional networks for cross-domain recommendation.
J. Intell. Fuzzy Syst.
Yu Zhang, Fan Liu, Yupeng Hu, Xiaoli Li, Xiangjun Dong, Zhiyong Cheng
2023 J jnl
Generating Human-Centric Visual Cues for Human-Object Interaction Detection via Large Vision-Language Models.
CoRR
Yu-Wei Zhan, Fan Liu, Xin Luo, Liqiang Nie, Xin-Shun Xu, Mohan S. Kankanhalli
2023 J jnl
Learning to Agree on Vision Attention for Visual Commonsense Reasoning.
CoRR
Zhenyang Li, Yangyang Guo, Kejie Wang, Fan Liu, Liqiang Nie, Mohan S. Kankanhalli
2023 A* conf
LightGT: A Light Graph Transformer for Multimedia Recommendation.
SIGIR
Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua
2023 A* conf
Multi-Behavior Recommendation with Cascading Graph Convolution Networks.
WWW
Zhiyong Cheng, Sai Han, Fan Liu, Lei Zhu, Zan Gao, Yuxin Peng
2023 J jnl
Multi-Behavior Recommendation with Cascading Graph Convolution Networks.
CoRR
Zhiyong Cheng, Sai Han, Fan Liu, Lei Zhu, Zan Gao, Yuxin Peng
2023 A conf
Multi-queue Momentum Contrast for Microvideo-Product Retrieval.
WSDM
Yali Du, Yinwei Wei, Wei Ji, Fan Liu, Xin Luo, Liqiang Nie
2023 A* conf
Semantic-Guided Feature Distillation for Multimodal Recommendation.
ACM Multimedia
Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli
2023 J jnl
Semantic-Guided Feature Distillation for Multimodal Recommendation.
CoRR
Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli
2023 J jnl
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models.
CoRR
Fan Liu, Yaqi Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli
2022 J jnl
An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation.
IEEE Trans. Knowl. Data Eng.
Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie
2022 J jnl
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation.
CoRR
Mingshi Yan, Zhiyong Cheng, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li
2022 J jnl
Disentangled Graph Neural Networks for Session-based Recommendation.
CoRR
Ansong Li, Zhiyong Cheng, Fan Liu, Zan Gao, Weili Guan, Yuxin Peng
2022 J jnl
Disentangled Multimodal Representation Learning for Recommendation.
CoRR
Fan Liu, Zhiyong Cheng, Huilin Chen, Anan Liu, Liqiang Nie, Mohan S. Kankanhalli
2022 J jnl
Feature-Level Attentive ICF for Recommendation.
ACM Trans. Inf. Syst.
Zhiyong Cheng, Fan Liu, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie
2022 J jnl
Multi-queue Momentum Contrast for Microvideo-Product Retrieval.
CoRR
Yali Du, Yinwei Wei, Wei Ji, Fan Liu, Xin Luo, Liqiang Nie
2022 A* conf
Privacy-Preserving Synthetic Data Generation for Recommendation Systems.
SIGIR
Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli
2022 J jnl
Privacy-Preserving Synthetic Data Generation for Recommendation Systems.
CoRR
Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli
2021 A* conf
Interest-aware Message-Passing GCN for Recommendation.
WWW
Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie
2021 J jnl
Interest-aware Message-Passing GCN for Recommendation.
CoRR
Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie
2020 J jnl
A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation.
CoRR
Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie
2019 A* conf
User Diverse Preference Modeling by Multimodal Attentive Metric Learning.
ACM Multimedia
Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan S. Kankanhalli
2019 J jnl
User Diverse Preference Modeling by Multimodal Attentive Metric Learning.
CoRR
Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan S. Kankanhalli