Ruiqi Zheng

23 papers A* 5Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
SCaLRec: Semantic Calibration for LLM-enabled Cloud-Device Sequential Recommendation.
CoRR
Ruiqi Zheng, Jinli Cao, Jiao Yin, Hongzhi Yin
2025 J jnl
DecKG: Decentralized collaborative learning with knowledge graph enhancement for POI recommendation.
Inf. Sci.
Ruiqi Zheng, Liang Qu, Guanhua Ye, Tong Chen, Yuhui Shi, Hongzhi Yin
2025 J jnl
On-Device Recommender Systems: A Comprehensive Survey.
Data Sci. Eng.
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
2024 J jnl
DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation.
CoRR
Ruiqi Zheng, Liang Qu, Guanhua Ye, Tong Chen, Yuhui Shi, Hongzhi Yin
2024 A* conf
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.
WWW
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024 J jnl
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.
CoRR
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024 J jnl
On-Device Recommender Systems: A Comprehensive Survey.
CoRR
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
2024 J jnl
Personalized Elastic Embedding Learning for On-Device Recommendation.
IEEE Trans. Knowl. Data Eng.
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2024 A* conf
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures.
SIGIR
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2024 J jnl
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures.
CoRR
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2024 A* conf
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.
WWW
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024 J jnl
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.
CoRR
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2023 — conf
AoI Minimization for Sensor Networks With Adaptive Packet and Energy Arrival.
SPAWC
Ruiqi Zheng, Mengyuan Li, Yuyang Xia, Yonghao Ji, Xiaoli Xu
2023 J jnl
AutoML for Deep Recommender Systems: A Survey.
ACM Trans. Inf. Syst.
Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin
2023 J jnl
Personalized Elastic Embedding Learning for On-Device Recommendation.
CoRR
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2023 A* conf
Semi-decentralized Federated Ego Graph Learning for Recommendation.
WWW
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin
2023 J jnl
Semi-decentralized Federated Ego Graph Learning for Recommendation.
CoRR
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin
2023 — conf
Weighted Matrix Factorization with Wilson Lower Bound Score.
APIT
Hongxi Huang, Yuxing Wei, Xiaopeng Yuan, Ruiqi Zheng
2022 J jnl
AutoML for Deep Recommender Systems: A Survey.
CoRR
Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin
2021 — conf
BSO-CMA-ES: Brain Storm Optimization Based Covariance Matrix Adaptation Evolution Strategy for Multimodal Optimization.
DMBD (2)
Liang Qu, Ruiqi Zheng, Yuhui Shi
2021 A* conf
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks.
KDD
Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
2021 J jnl
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks.
CoRR
Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
2020 — conf
BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy.
ICSI
Liang Qu, Qiqi Duan, Jian Yang, Shi Cheng, Ruiqi Zheng, Yuhui Shi