Takip et
Liang QU
Liang QU
The University of Queensland
uqconnect.edu.au üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks
L Qu, H Zhu, R Zheng, Y Shi, H Yin
KDD 2021, 2021
1212021
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
952023
Continuous-time link prediction via temporal dependent graph neural network
L Qu, H Zhu, Q Duan, Y Shi
WWW 2020, 2020
802020
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
522023
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
392024
Single-shot Embedding Dimension Search in Recommender System
L Qu, Y Ye, N Tang, L Zhang, Y Shi, H Yin
SIGIR 2022, 2022
342022
HeteFedRec: Federated Recommender Systems with Model Heterogeneity
W Yuan, L Qu, L Cui, Y Tong, X Zhou, H Yin
ICDE 2024, 2023
262023
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
242020
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
202024
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
122024
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
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
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
82023
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
62024
Poisoning decentralized collaborative recommender system and its countermeasures
R Zheng, L Qu, T Chen, K Zheng, Y Shi, H Yin
Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024
52024
Pdc-frs: Privacy-preserving data contribution for federated recommender system
C Yang, W Yuan, L Qu, TT Nguyen
International Conference on Advanced Data Mining and Applications, 65-79, 2024
42024
Scalable Dynamic Embedding Size Search for Streaming Recommendation
Y Qu, L Qu, T Chen, X Zhao, QVH Nguyen, H Yin
Proceedings of the 33rd ACM International Conference on Information and …, 2024
42024
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm
H Yin, T Chen, L Qu, B Cui
WWW 2024, 2023
22023
Automated Similarity Metric Generation for Recommendation
L Qu, Y Lin, W Yuan, X Wan, Y Shi, H Yin
arXiv preprint arXiv:2404.11818, 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
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