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Liang QU
Liang QU
在 uqconnect.edu.au 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks
L Qu, H Zhu, R Zheng, Y Shi, H Yin
KDD 2021, 2021
802021
Continuous-time link prediction via temporal dependent graph neural network
L Qu, H Zhu, Q Duan, Y Shi
WWW 2020, 2020
672020
Automl for deep recommender systems: A survey
R Zheng, L Qu, B Cui, Y Shi, H Yin
ACM Transactions on Information Systems 41 (4), 1-38, 2023
572023
Semi-decentralized Federated Ego Graph Learning for Recommendation
L Qu, N Tang, R Zheng, QVH Nguyen, Z Huang, Y Shi, H Yin
WWW 2023, 2023
322023
Single-shot Embedding Dimension Search in Recommender System
L Qu, Y Ye, N Tang, L Zhang, Y Shi, H Yin
SIGIR 2022, 2022
272022
Swarm intelligence in data science: applications, opportunities and challenges
J Yang, L Qu, Y Shen, Y Shi, S Cheng, J Zhao, X Shen
International Conference on Swarm Intelligence, 3-14, 2020
222020
On-Device Recommender Systems: A Comprehensive Survey
H Yin, L Qu, T Chen, W Yuan, R Zheng, J Long, X Xia, Y Shi, C Zhang
arXiv preprint arXiv:2401.11441, 2024
152024
HeteFedRec: Federated Recommender Systems with Model Heterogeneity
W Yuan, L Qu, L Cui, Y Tong, X Zhou, H Yin
ICDE 2024, 2023
122023
When cooperative co-evolution meets coordinate descent: Theoretically deeper understandings and practically better implementations
Q Duan, C Shao, L Qu, Y Shi, B Niu
2019 IEEE Congress on Evolutionary Computation (CEC), 721-730, 2019
102019
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation
L Qu, W Yuan, R Zheng, L Cui, Y Shi, H Yin
WWW 2024, 2024
62024
Personalized Elastic Embedding Learning for On-Device Recommendation
R Zheng, L Qu, T Chen, K Zheng, Y Shi, H Yin
IEEE Transactions on Knowledge and Data Engineering, 2023
42023
Robust federated contrastive recommender system against model poisoning attack
W Yuan, C Yang, L Qu, G Ye, QVH Nguyen, H Yin
arXiv preprint arXiv:2403.20107, 2024
32024
Hide Your Model: A Parameter Transmission-free Federated Recommender System
W Yuan, C Yang, L Qu, QVH Nguyen, J Li, H Yin
ICDE 2024, 2023
32023
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation
R Zheng, L Qu, T Chen, L Cui, Y Shi, H Yin
WWW 2024, 2024
22024
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures
R Zheng, L Qu, T Chen, K Zheng, Y Shi, H Yin
arXiv preprint arXiv:2404.01177, 2024
12024
Energy gaps of graphene clusters: the first-principles calculations based on high-throughput screening
L Qu, Z Liu, X Yang
Molecular Simulation 43 (7), 558-562, 2017
12017
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System
W Yuan, C Yang, L Qu, QVH Nguyen, G Ye, H Yin
arXiv preprint arXiv:2406.05387, 2024
2024
Automated Similarity Metric Generation for Recommendation
L Qu, Y Lin, W Yuan, X Wan, Y Shi, H Yin
arXiv preprint arXiv:2404.11818, 2024
2024
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm
H Yin, T Chen, L Qu, B Cui
WWW 2024, 2023
2023
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