Baisong Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 29

Top Topics

Interaction Design

User Acceptance

Graph Embedding

Collaborative Filtering

Top Venues

Publications

Yifeng Yu, Jiangbo Qian, Chong Wang, Yihong Dong, Baisong Liu
Animation line art colorization based on the optical flow method. Comput. Animat. Virtual Worlds 35 (1) (2024)
Baisong Liu, Daniel Tetteroo, Panos Markopoulos
From Research to Design: Developing the Social Robotic Persuasive Design Cards and Its Techniques. RO-MAN (2023)
Baisong Liu, Daniel Tetteroo, Panos Markopoulos
3 Key Challenges in Designing Advanced Social Robotic Applications. RO-MAN (2023)
Jiangcheng Qin, Xueyuan Zhang, Baisong Liu, Jiangbo Qian
A split-federated learning and edge-cloud based efficient and privacy-preserving large-scale item recommendation model. J. Cloud Comput. 12 (1) (2023)
Qian Dong, Baisong Liu, Xueyuan Zhang, Jiangcheng Qin, Bingyuan Wang
Sequential POI Recommend Based on Personalized Federated Learning. Neural Process. Lett. 55 (6) (2023)
Xiaowen Shao, Baisong Liu, Xueyuan Zhang, Junru Li, Ercong Xu, Shiqi Wu
Graph Collaborative Filtering and Data Augmentation Strategies in Dual-Target CDR. CoopIS (2023)
Zhiye Wang, Baisong Liu, Chennan Lin, Xueyuan Zhang, Ce Hu, Jiangcheng Qin, Linze Luo
Revisiting Data Poisoning Attacks on Deep Learning Based Recommender Systems. ISCC (2023)
Yunchong Zhang, Baisong Liu, Jiangbo Qian
FedPJF: federated contrastive learning for privacy-preserving person-job fit. Appl. Intell. 53 (22) (2023)
Liangkang Peng, Jiangbo Qian, Chong Wang, Baisong Liu, Yihong Dong
Swin transformer-based supervised hashing. Appl. Intell. 53 (14) (2023)
Zhen Xiao, Baisong Liu
Rethinking Mobile Interaction Design Within Service. HCI (41) (2022)
Xueyong Jiang, Baisong Liu, Jiangcheng Qin, Yunchong Zhang, Jiangbo Qian
FedNCF: Federated Neural Collaborative Filtering for Privacy-preserving Recommender System. IJCNN (2022)
Jiangcheng Qin, Baisong Liu, Xueyuan Zhang, Jiangbo Qian
Split Two-Tower Model for Efficient and Privacy-Preserving Cross-device Federated Recommendation. CoRR (2022)
Baisong Liu, Daniel Tetteroo, Annick Timmermans, Panos Markopoulos
Exploring Older Adults' Acceptance, Needs, and Design Requirements towards Applying Social Robots in a Rehabilitation Context. RO-MAN (2022)
Binbin Qin, Jiangbo Qian, Yu Xin, Baisong Liu, Yihong Dong
Distracted Driver Detection Based on a CNN With Decreasing Filter Size. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Jinyang Sun, Baisong Liu, Hao Ren, Weiming Huang
NCGAN: A neural adversarial collaborative filtering for recommender system. J. Intell. Fuzzy Syst. 42 (4) (2022)
Linze Luo, Baisong Liu
Dual-Contrastive for Federated Social Recommendation. IJCNN (2022)
Qian Dong, Baisong Liu, Xueyuan Zhang, Jiangcheng Qin, Bingyuan Wang, Jiangbo Qian
Ranking-based Federated POI Recommendation with Geographic Effect. IJCNN (2022)
Baisong Liu, Daniel Tetteroo, Panos Markopoulos
A Systematic Review of Experimental Work on Persuasive Social Robots. Int. J. Soc. Robotics 14 (6) (2022)
Bingyuan Wang, Baisong Liu, Hao Ren, Xueyuan Zhang, Jiangcheng Qin, Qian Dong, Jiangbo Qian
Exploiting high-order behaviour patterns for cross-domain sequential recommendation. Connect. Sci. 34 (1) (2022)
Chennan Lin, Baisong Liu, Xueyuan Zhang, Zhiye Wang, Ce Hu, Linze Luo
Privacy-Preserving Recommendation with Debiased Obfuscaiton. TrustCom (2022)
Ce Hu, Baisong Liu, Xueyuan Zhang, Zhiye Wang, Chennan Lin, Linze Luo
A Federated Multi-Server Knowledge Graph Embedding Framework For Link Prediction. ICTAI (2022)
Baisong Liu, Xiaoling Liu, Hao Ren, Jiangbo Qian, YangYang Wang
Text multi-label learning method based on label-aware attention and semantic dependency. Multim. Tools Appl. 81 (5) (2022)
Jiangcheng Qin, Baisong Liu, Jiangbo Qian
A Novel Privacy-Preserved Recommender System Framework Based On Federated Learning. ICSIM (2021)
Hao Tang, Baisong Liu, Jiangbo Qian
Content-based and knowledge graph-based paper recommendation: Exploring user preferences with the knowledge graphs for scientific paper recommendation. Concurr. Comput. Pract. Exp. 33 (13) (2021)
Yunchong Zhang, Baisong Liu, Jiangbo Qian, Jiangcheng Qin, Xueyuan Zhang, Xueyong Jiang
An Explainable Person-Job Fit Model Incorporating Structured Information. IEEE BigData (2021)
Jiangcheng Qin, Baisong Liu
A Novel Privacy-Preserved Recommender System Framework based on Federated Learning. CoRR (2020)
Baisong Liu, Panos Markopoulos, Daniel Tetteroo
How Anthropomorphism Affects User Acceptance of a Robot Trainer in Physical Rehabilitation. HEALTHINF (2019)
Baisong Liu, Panos Markopoulos, Daniel Tetteroo
Investigating User's Preference for Anthropomorphism of a Social Robot Trainer in Physical Rehabilitation. BIOSTEC (Selected Papers) (2019)
Yuan Liu, Shiguo Li, Baisong Liu
Synaesthesia Design Research of Motion Game in Order to Cure the White-Collar's Cervical Spondylosis. HCI (15) (2016)