Ruiqi Zheng

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Sparsely Connected

Evolution Strategy

Recommender Systems

Countermeasures

Top Venues

Publications

Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Personalized Elastic Embedding Learning for On-Device Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. CoRR (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. SIGIR (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. WWW (2024)
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. CoRR (2024)
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. WWW (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. CoRR (2024)
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
On-Device Recommender Systems: A Comprehensive Survey. CoRR (2024)
Hongxi Huang, Yuxing Wei, Xiaopeng Yuan, Ruiqi Zheng
Weighted Matrix Factorization with Wilson Lower Bound Score. APIT (2023)
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin
Semi-decentralized Federated Ego Graph Learning for Recommendation. WWW (2023)
Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin
AutoML for Deep Recommender Systems: A Survey. ACM Trans. Inf. Syst. 41 (4) (2023)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Personalized Elastic Embedding Learning for On-Device Recommendation. CoRR (2023)
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin
Semi-decentralized Federated Ego Graph Learning for Recommendation. CoRR (2023)
Ruiqi Zheng, Mengyuan Li, Yuyang Xia, Yonghao Ji, Xiaoli Xu
AoI Minimization for Sensor Networks With Adaptive Packet and Energy Arrival. SPAWC (2023)
Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin
AutoML for Deep Recommender Systems: A Survey. CoRR (2022)
Liang Qu, Ruiqi Zheng, Yuhui Shi
BSO-CMA-ES: Brain Storm Optimization Based Covariance Matrix Adaptation Evolution Strategy for Multimodal Optimization. DMBD (2) (2021)
Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. KDD (2021)
Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. CoRR (2021)
Liang Qu, Qiqi Duan, Jian Yang, Shi Cheng, Ruiqi Zheng, Yuhui Shi
BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy. ICSI (2020)