Ruiqi Zheng

According to our database, Ruiqi Zheng authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SCaLRec: Semantic Calibration for LLM-enabled Cloud-Device Sequential Recommendation.

Ruiqi Zheng, Jinli Cao, Jiao Yin, Hongzhi Yin

CoRR, January, 2026

2025

On-Device Recommender Systems: A Comprehensive Survey.

Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang

Data Sci. Eng., December, 2025

DecKG: Decentralized collaborative learning with knowledge graph enhancement for POI recommendation.

Ruiqi Zheng, Liang Qu, Guanhua Ye, Tong Chen, Yuhui Shi, Hongzhi Yin

Inf. Sci., 2025

2024

Personalized Elastic Embedding Learning for On-Device Recommendation.

Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin

IEEE Trans. Knowl. Data Eng., July, 2024

Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.

Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin

CoRR, 2024

Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.

Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin

CoRR, 2024

Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.

Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin

Proceedings of the ACM on Web Conference 2024, 2024

Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.

Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin

Proceedings of the ACM on Web Conference 2024, 2024

Poisoning Decentralized Collaborative Recommender System and Its Countermeasures.

Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

AutoML for Deep Recommender Systems: A Survey.

Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin

ACM Trans. Inf. Syst., October, 2023

Semi-decentralized Federated Ego Graph Learning for Recommendation.

Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin

Proceedings of the ACM Web Conference 2023, 2023

AoI Minimization for Sensor Networks With Adaptive Packet and Energy Arrival.

Ruiqi Zheng, Mengyuan Li, Yuyang Xia, Yonghao Ji, Xiaoli Xu

Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Weighted Matrix Factorization with Wilson Lower Bound Score.

Hongxi Huang, Yuxing Wei, Xiaopeng Yuan, Ruiqi Zheng

Proceedings of the 2023 5th Asia Pacific Information Technology Conference, 2023

2021

ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks.

Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

BSO-CMA-ES: Brain Storm Optimization Based Covariance Matrix Adaptation Evolution Strategy for Multimodal Optimization.

Liang Qu, Ruiqi Zheng, Yuhui Shi

Proceedings of the Data Mining and Big Data - 6th International Conference, 2021

2020

BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy.

Liang Qu, Qiqi Duan, Jian Yang, Shi Cheng, Ruiqi Zheng, Yuhui Shi

Proceedings of the Advances in Swarm Intelligence - 11th International Conference, 2020