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Le Wu
Publications
- 2023
- [j35]Kang Liu, Feng Xue, Dan Guo, Le Wu, Shujie Li, Richang Hong:
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation. ACM Trans. Inf. Syst. 41(2): 30:1-30:27 (2023) - [c74]Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang:
Fair Representation Learning for Recommendation: A Mutual Information Perspective. AAAI 2023: 4911-4919 - [c71]Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang:
GoRec: A Generative Cold-start Recommendation Framework. ACM Multimedia 2023: 1004-1012 - [c70]Xiangzhi Chen, Le Wu, Fei Liu, Lei Chen, Kun Zhang, Richang Hong, Meng Wang:
Disentangling Cognitive Diagnosis with Limited Exercise Labels. NeurIPS 2023 - [c68]Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Generative-Contrastive Graph Learning for Recommendation. SIGIR 2023: 1117-1126 - [c67]Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang:
Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation. SIGIR 2023: 1188-1197 - [c65]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Improving Recommendation Fairness via Data Augmentation. WWW 2023: 1012-1020 - [i27]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Improving Recommendation Fairness via Data Augmentation. CoRR abs/2302.06333 (2023) - [i24]Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Generative Contrastive Graph Learning for Recommendation. CoRR abs/2307.05100 (2023) - 2022
- [j27]Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. IEEE Trans. Knowl. Data Eng. 34(10): 4753-4766 (2022) - [c61]Suchang Luo, Yonghui Yang, Kun Zhang, Peijie Sun, Le Wu, Richang Hong:
Self-Supervised Cross Domain Social Recommendation. ICCAI 2022: 286-292 - [c55]Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li:
A Review-aware Graph Contrastive Learning Framework for Recommendation. SIGIR 2022: 1283-1293 - [i21]Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li:
A Review-aware Graph Contrastive Learning Framework for Recommendation. CoRR abs/2204.12063 (2022) - [i19]Kang Liu, Feng Xue, Dan Guo, Le Wu, Shujie Li, Richang Hong:
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation. CoRR abs/2210.07443 (2022) - 2021
- [j24]Junwei Li, Le Wu, Richang Hong, Jinkui Hou:
Random walk based distributed representation learning and prediction on Social Networking Services. Inf. Sci. 549: 328-346 (2021) - [j20]Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
Collaborative Neural Social Recommendation. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 464-476 (2021) - [j19]Richang Hong, Yuan He, Le Wu, Yong Ge, Xindong Wu:
Deep Attributed Network Embedding by Preserving Structure and Attribute Information. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1434-1445 (2021) - [c47]Yonghui Yang, Le Wu, Richang Hong, Kun Zhang, Meng Wang:
Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. SIGIR 2021: 71-80 - [c46]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang:
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. SIGIR 2021: 585-594 - [c45]Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang:
Privileged Graph Distillation for Cold Start Recommendation. SIGIR 2021: 1187-1196 - [c44]Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang:
Learning Fair Representations for Recommendation: A Graph-based Perspective. WWW 2021: 2198-2208 - [i18]Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang:
Learning Fair Representations for Bipartite Graph based Recommendation. CoRR abs/2102.09140 (2021) - [i16]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang:
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. CoRR abs/2105.07377 (2021) - [i15]Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang:
Privileged Graph Distillation for Cold Start Recommendation. CoRR abs/2105.14975 (2021) - 2020
- [j13]Junwei Li, Le Wu, Richang Hong, Kun Zhang, Yong Ge, Yan Li:
A Joint Neural Model for User Behavior Prediction on Social Networking Platforms. ACM Trans. Intell. Syst. Technol. 11(6): 72:1-72:25 (2020) - [j12]Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang:
A Hierarchical Attention Model for Social Contextual Image Recommendation. IEEE Trans. Knowl. Data Eng. 32(10): 1854-1867 (2020) - [c43]Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang:
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. AAAI 2020: 27-34 - [c39]Depeng Wang, Zhenzhen Hu, Yuanen Zhou, Xueliang Liu, Le Wu, Richang Hong:
A Text-Guided Graph Structure for Image Captioning. ICME Workshops 2020: 1-6 - [c37]Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang:
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. SIGIR 2020: 679-688 - [c36]Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang:
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. SIGIR 2020: 1211-1220 - [c35]Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang:
Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. WWW 2020: 837-847 - [i13]Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang:
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. CoRR abs/2001.10167 (2020) - [i12]Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. CoRR abs/2002.00844 (2020) - [i11]Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang:
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. CoRR abs/2005.11724 (2020) - [i10]Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang:
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. CoRR abs/2005.12021 (2020) - 2019
- [c30]Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. IJCAI 2019: 1431-1437 - [c25]Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang:
A Neural Influence Diffusion Model for Social Recommendation. SIGIR 2019: 235-244 - [i7]Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang:
A Neural Influence Diffusion Model for Social Recommendation. CoRR abs/1904.10322 (2019) - [i5]Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. CoRR abs/1906.00246 (2019) - 2018
- [j4]Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang:
Product Adoption Rate Prediction in a Competitive Market. IEEE Trans. Knowl. Data Eng. 30(2): 325-338 (2018) - [i3]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Meng Wang, Junping Du:
Explainable Social Contextual Image Recommendation with Hierarchical Attention. CoRR abs/1806.00723 (2018) - [i2]Le Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang, Meng Wang:
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation. CoRR abs/1811.02815 (2018) - 2017
- [j3]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, Meng Wang:
Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services. IEEE Trans. Knowl. Data Eng. 29(6): 1240-1253 (2017)
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