Kang Liu

20 papers A* 2Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
ACD: Adversarial Counterfactual Distillation for Rating Prediction in Recommendation.
IEEE Trans. Knowl. Data Eng.
Sheng Sang, Feng Xue, Shuaiyang Li, Kang Liu, Richang Hong
2026 A* conf
Bidirectional Counterfactual Distillation for Review-Based Recommendation.
AAAI
Sheng Sang, Shujie Li, Shuaiyang Li, Kang Liu, Teng Li, Wei Jia, Dan Guo, Feng Xue
2026 J jnl
Cross-modal feature disentangling via bidirectional distillation for multimodal recommendation.
Expert Syst. Appl.
Shuaiyang Li, Kang Liu, Shujie Li, Dan Guo, Feng Xue
2026 J jnl
Denoising precedes enrichment: aspect-sentiment-aware graph contrastive distillation network for review-based recommendation.
Inf. Sci.
Tongtong Yu, Sheng Sang, Kang Liu
2025 J jnl
BiKD2: Bidirectional Knowledge Distillation-enhanced explicit graph Disentangling network for review-based recommendation.
Eng. Appl. Artif. Intell.
Kang Liu, Tongtong Yu, Han Huang, Yueli Song, Yuling Li
2025 J jnl
Corrigendum to "Hierarchical Feature-guided Prototypical Network for Few-shot Knowledge Graph Completion" [Neural Networks Volume 191, November 2025, 107702/NN_107702].
Neural Networks
Yuling Li, Kui Yu, Fei Yang, Chunfeng Shen, Ji Chang, Zerui Li, Kang Liu
2025 J jnl
Hierarchical feature-guided prototypical network for few-shot knowledge graph completion.
Neural Networks
Yuling Li, Kui Yu, Fei Yang, Chunfeng Shen, Ji Chang, Zerui Li, Kang Liu
2025 J jnl
REDGCN: Rating-Oriented Explicit Disentangling Graph Convolution Network for Review-Aware Recommendation.
IEEE Trans. Comput. Soc. Syst.
Sheng Sang, Feng Xue, Hao Guo, Kang Liu, Shuaiyang Li, Richang Hong
2024 J jnl
Multimodal Graph Causal Embedding for Multimedia-Based Recommendation.
IEEE Trans. Knowl. Data Eng.
Shuaiyang Li, Feng Xue, Kang Liu, Dan Guo, Richang Hong
2024 J jnl
Multimodal Hierarchical Graph Collaborative Filtering for Multimedia-Based Recommendation.
IEEE Trans. Comput. Soc. Syst.
Kang Liu, Feng Xue, Shuaiyang Li, Sheng Sang, Richang Hong
2023 J jnl
Joint Multi-Grained Popularity-Aware Graph Convolution Collaborative Filtering for Recommendation.
IEEE Trans. Comput. Soc. Syst.
Kang Liu, Feng Xue, Xiangnan He, Dan Guo, Richang Hong
2023 J jnl
LCSNet: End-to-end Lipreading with Channel-aware Feature Selection.
ACM Trans. Multim. Comput. Commun. Appl.
Feng Xue, Tian Yang, Kang Liu, Zikun Hong, Mingwei Cao, Dan Guo, Richang Hong
2023 J jnl
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation.
ACM Trans. Inf. Syst.
Kang Liu, Feng Xue, Dan Guo, Le Wu, Shujie Li, Richang Hong
2023 A* conf
Multimodal Counterfactual Learning Network for Multimedia-based Recommendation.
SIGIR
Shuaiyang Li, Dan Guo, Kang Liu, Richang Hong, Feng Xue
2023 J jnl
Multimodal Graph Contrastive Learning for Multimedia-Based Recommendation.
IEEE Trans. Multim.
Kang Liu, Feng Xue, Dan Guo, Peijie Sun, Shengsheng Qian, Richang Hong
2022 J jnl
Joint Multi-grained Popularity-aware Graph Convolution Collaborative Filtering for Recommendation.
CoRR
Kang Liu, Feng Xue, Xiangnan He, Dan Guo, Richang Hong
2022 J jnl
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation.
CoRR
Kang Liu, Feng Xue, Dan Guo, Le Wu, Shujie Li, Richang Hong
2022 J jnl
RGCF: Refined graph convolution collaborative filtering with concise and expressive embedding.
Intell. Data Anal.
Kang Liu, Feng Xue, Richang Hong
2021 — conf
Multi-stage Knowledge Propagation Network for Recommendation.
CCKS
Feng Xue, Wenjie Zhou, Zikun Hong, Kang Liu
2020 J jnl
RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding.
CoRR
Kang Liu, Feng Xue, Richang Hong