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2020 – today
- 2024
[j11]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)- 2023
- [j10]Liangkang Peng, Jiangbo Qian, Chong Wang, Baisong Liu, Yihong Dong:
Swin transformer-based supervised hashing. Appl. Intell. 53(14): 17548-17560 (2023) - [j9]Yunchong Zhang, Baisong Liu, Jiangbo Qian:
FedPJF: federated contrastive learning for privacy-preserving person-job fit. Appl. Intell. 53(22): 27060-27071 (2023) - [j8]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): 57 (2023) - [j7]Qian Dong, Baisong Liu, Xueyuan Zhang, Jiangcheng Qin, Bingyuan Wang:
Sequential POI Recommend Based on Personalized Federated Learning. Neural Process. Lett. 55(6): 7351-7368 (2023) - [c16]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: 427-437 - [c15]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: 1261-1267 - [c14]Baisong Liu, Daniel Tetteroo, Panos Markopoulos:
From Research to Design: Developing the Social Robotic Persuasive Design Cards and Its Techniques. RO-MAN 2023: 44-51 - [c13]Baisong Liu, Daniel Tetteroo, Panos Markopoulos:
3 Key Challenges in Designing Advanced Social Robotic Applications. RO-MAN 2023: 1004-1011 - 2022
- [j6]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): 2597-2614 (2022) - [j5]Baisong Liu, Daniel Tetteroo, Panos Markopoulos:
A Systematic Review of Experimental Work on Persuasive Social Robots. Int. J. Soc. Robotics 14(6): 1339-1378 (2022) - [j4]Jinyang Sun, Baisong Liu, Hao Ren, Weiming Huang:
NCGAN: A neural adversarial collaborative filtering for recommender system. J. Intell. Fuzzy Syst. 42(4): 2915-2923 (2022) - [j3]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): 7219-7237 (2022) - [j2]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): 6922-6933 (2022) - [c12]Zhen Xiao, Baisong Liu:
Rethinking Mobile Interaction Design Within Service. HCI (41) 2022: 163-174 - [c11]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: 366-371 - [c10]Qian Dong, Baisong Liu, Xueyuan Zhang, Jiangcheng Qin, Bingyuan Wang, Jiangbo Qian:
Ranking-based Federated POI Recommendation with Geographic Effect. IJCNN 2022: 1-8 - [c9]Xueyong Jiang, Baisong Liu, Jiangcheng Qin, Yunchong Zhang, Jiangbo Qian:
FedNCF: Federated Neural Collaborative Filtering for Privacy-preserving Recommender System. IJCNN 2022: 1-8 - [c8]Linze Luo, Baisong Liu:
Dual-Contrastive for Federated Social Recommendation. IJCNN 2022: 1-8 - [c7]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: 1077-1084 - [c6]Chennan Lin, Baisong Liu, Xueyuan Zhang, Zhiye Wang, Ce Hu, Linze Luo:
Privacy-Preserving Recommendation with Debiased Obfuscaiton. TrustCom 2022: 590-597 - [i2]Jiangcheng Qin, Baisong Liu, Xueyuan Zhang, Jiangbo Qian:
Split Two-Tower Model for Efficient and Privacy-Preserving Cross-device Federated Recommendation. CoRR abs/2206.13715 (2022) - 2021
- [j1]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) - [c5]Yunchong Zhang, Baisong Liu, Jiangbo Qian, Jiangcheng Qin, Xueyuan Zhang, Xueyong Jiang:
An Explainable Person-Job Fit Model Incorporating Structured Information. IEEE BigData 2021: 3571-3579 - [c4]Jiangcheng Qin, Baisong Liu, Jiangbo Qian:
A Novel Privacy-Preserved Recommender System Framework Based On Federated Learning. ICSIM 2021: 82-88 - 2020
- [i1]Jiangcheng Qin, Baisong Liu:
A Novel Privacy-Preserved Recommender System Framework based on Federated Learning. CoRR abs/2011.05614 (2020)
2010 – 2019
- 2019
- [c3]Baisong Liu, Panos Markopoulos, Daniel Tetteroo:
How Anthropomorphism Affects User Acceptance of a Robot Trainer in Physical Rehabilitation. HEALTHINF 2019: 30-40 - [c2]Baisong Liu, Panos Markopoulos, Daniel Tetteroo:
Investigating User's Preference for Anthropomorphism of a Social Robot Trainer in Physical Rehabilitation. BIOSTEC (Selected Papers) 2019: 381-394 - 2016
- [c1]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: 170-178
Coauthor Index
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