Baisong Liu - RankMe

37 papers B 11C 2Misc 1Journal 17Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Factual Correctness: Mitigating Preference-Inconsistent Explanations in Explainable Recommendation. CoRR Chengkai Wang, Baisong Liu
2026	J	`jnl`	Federated cross-domain CTR prediction with triple-view contrastive learning and LLM augmentation. Inf. Process. Manag. Jiangcheng Qin, Xueyuan Zhang, Baisong Liu, Jiangbo Qian, Yangyang Wang
2025	J	`jnl`	DALLRec: an effective data augmentation framework with fine-tuning large language model for recommendation. J. King Saud Univ. Comput. Inf. Sci. Hongzan Mao, Baisong Liu, Xueyuan Zhang, Wei Liu, Zijing Wang, Zining Feng
2025	B	`conf`	DareCRS: A Dual-Strategy Approach for User-Oriented Fairness in Conversational Recommender Systems. ICPADS Zijing Wang, Baisong Liu, Wei Liu, Xueyuan Zhang, Hongzan Mao, Zining Feng
2025	C	`conf`	Exploring the Impact of Large Language Model-Simulated Personalities on Recommendation. CSCWD Zining Feng, Zijing Wang, Hongzan Mao, Baisong Liu
2025	J	`jnl`	Federated Cross-Domain Click-Through Rate Prediction With Large Language Model Augmentation. CoRR Jiangcheng Qin, Xueyuan Zhang, Baisong Liu, Jiangbo Qian, Yangyang Wang
2025	B	`conf`	PERec: Prompt-Enhanced Semantic Modeling with Large Language Models for Long-Tail Recommendation. ICPADS Han Han, Chengkai Wang, Yiru Zhou, Tingting Ma, Baisong Liu
2024	J	`jnl`	Animation line art colorization based on the optical flow method. Comput. Animat. Virtual Worlds Yifeng Yu, Jiangbo Qian, Chong Wang, Yihong Dong, Baisong Liu
2023	B	`conf`	3 Key Challenges in Designing Advanced Social Robotic Applications. RO-MAN Baisong Liu, Daniel Tetteroo, Panos Markopoulos
2023	J	`jnl`	A split-federated learning and edge-cloud based efficient and privacy-preserving large-scale item recommendation model. J. Cloud Comput. Jiangcheng Qin, Xueyuan Zhang, Baisong Liu, Jiangbo Qian
2023	J	`jnl`	FedPJF: federated contrastive learning for privacy-preserving person-job fit. Appl. Intell. Yunchong Zhang, Baisong Liu, Jiangbo Qian
2023	B	`conf`	From Research to Design: Developing the Social Robotic Persuasive Design Cards and Its Techniques. RO-MAN Baisong Liu, Daniel Tetteroo, Panos Markopoulos
2023	B	`conf`	Graph Collaborative Filtering and Data Augmentation Strategies in Dual-Target CDR. CoopIS Xiaowen Shao, Baisong Liu, Xueyuan Zhang, Junru Li, Ercong Xu, Shiqi Wu
2023	C	`conf`	Revisiting Data Poisoning Attacks on Deep Learning Based Recommender Systems. ISCC Zhiye Wang, Baisong Liu, Chennan Lin, Xueyuan Zhang, Ce Hu, Jiangcheng Qin, Linze Luo
2023	J	`jnl`	Sequential POI Recommend Based on Personalized Federated Learning. Neural Process. Lett. Qian Dong, Baisong Liu, Xueyuan Zhang, Jiangcheng Qin, Bingyuan Wang
2023	J	`jnl`	Swin transformer-based supervised hashing. Appl. Intell. Liangkang Peng, Jiangbo Qian, Chong Wang, Baisong Liu, Yihong Dong
2022	B	`conf`	A Federated Multi-Server Knowledge Graph Embedding Framework For Link Prediction. ICTAI Ce Hu, Baisong Liu, Xueyuan Zhang, Zhiye Wang, Chennan Lin, Linze Luo
2022	J	`jnl`	A Systematic Review of Experimental Work on Persuasive Social Robots. Int. J. Soc. Robotics Baisong Liu, Daniel Tetteroo, Panos Markopoulos
2022	J	`jnl`	Distracted Driver Detection Based on a CNN With Decreasing Filter Size. IEEE Trans. Intell. Transp. Syst. Binbin Qin, Jiangbo Qian, Yu Xin, Baisong Liu, Yihong Dong
2022	B	`conf`	Dual-Contrastive for Federated Social Recommendation. IJCNN Linze Luo, Baisong Liu
2022	J	`jnl`	Exploiting high-order behaviour patterns for cross-domain sequential recommendation. Connect. Sci. Bingyuan Wang, Baisong Liu, Hao Ren, Xueyuan Zhang, Jiangcheng Qin, Qian Dong, Jiangbo Qian
2022	B	`conf`	Exploring Older Adults' Acceptance, Needs, and Design Requirements towards Applying Social Robots in a Rehabilitation Context. RO-MAN Baisong Liu, Daniel Tetteroo, Annick Timmermans, Panos Markopoulos
2022	B	`conf`	FedNCF: Federated Neural Collaborative Filtering for Privacy-preserving Recommender System. IJCNN Xueyong Jiang, Baisong Liu, Jiangcheng Qin, Yunchong Zhang, Jiangbo Qian
2022	J	`jnl`	NCGAN: A neural adversarial collaborative filtering for recommender system. J. Intell. Fuzzy Syst. Jinyang Sun, Baisong Liu, Hao Ren, Weiming Huang
2022	B	`conf`	Privacy-Preserving Recommendation with Debiased Obfuscaiton. TrustCom Chennan Lin, Baisong Liu, Xueyuan Zhang, Zhiye Wang, Ce Hu, Linze Luo
2022	B	`conf`	Ranking-based Federated POI Recommendation with Geographic Effect. IJCNN Qian Dong, Baisong Liu, Xueyuan Zhang, Jiangcheng Qin, Bingyuan Wang, Jiangbo Qian
2022	—	`conf`	Rethinking Mobile Interaction Design Within Service. HCI (41) Zhen Xiao, Baisong Liu
2022	J	`jnl`	Split Two-Tower Model for Efficient and Privacy-Preserving Cross-device Federated Recommendation. CoRR Jiangcheng Qin, Baisong Liu, Xueyuan Zhang, Jiangbo Qian
2022	J	`jnl`	Text multi-label learning method based on label-aware attention and semantic dependency. Multim. Tools Appl. Baisong Liu, Xiaoling Liu, Hao Ren, Jiangbo Qian, Yangyang Wang
2021	—	`conf`	A Novel Privacy-Preserved Recommender System Framework Based On Federated Learning. ICSIM Jiangcheng Qin, Baisong Liu, Jiangbo Qian
2021	—	`conf`	An Explainable Person-Job Fit Model Incorporating Structured Information. IEEE BigData Yunchong Zhang, Baisong Liu, Jiangbo Qian, Jiangcheng Qin, Xueyuan Zhang, Xueyong Jiang
2021	J	`jnl`	Content-based and knowledge graph-based paper recommendation: Exploring user preferences with the knowledge graphs for scientific paper recommendation. Concurr. Comput. Pract. Exp. Hao Tang, Baisong Liu, Jiangbo Qian
2020	J	`jnl`	A Novel Privacy-Preserved Recommender System Framework based on Federated Learning. CoRR Jiangcheng Qin, Baisong Liu
2019	—	`conf`	How Anthropomorphism Affects User Acceptance of a Robot Trainer in Physical Rehabilitation. HEALTHINF Baisong Liu, Panos Markopoulos, Daniel Tetteroo
2019	—	`conf`	Investigating User's Preference for Anthropomorphism of a Social Robot Trainer in Physical Rehabilitation. BIOSTEC (Selected Papers) Baisong Liu, Panos Markopoulos, Daniel Tetteroo
2017	Misc	`conf`	MTAR: A recommendation algorithm for multi-type academic resources. ICMLC Li-Ling Yin, Baisong Liu, Yang-yang Wang
2016	—	`conf`	Synaesthesia Design Research of Motion Game in Order to Cure the White-Collar's Cervical Spondylosis. HCI (15) Yuan Liu, Shiguo Li, Baisong Liu