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Qu, Liang G.
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1

Contributors:

, In: Lipid Signaling and Metabolism,
Abokor, Ahmed A. ; Albanesi, Daniela ; Arabolaza, Ana... - p. xiii-xvii , 2020
Link: https://doi.org/10.1016/..
 
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2

Decentralized Collaborative Learning with Adaptive Referenc..:

, In: Proceedings of the ACM on Web Conference 2024,
Zheng, Ruiqi ; Qu, Liang ; Chen, Tong... - p. 3930-3939 , 2024
Link: https://dl.acm.org/doi/1..
 
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3

Poisoning Decentralized Collaborative Recommender System an..:

, In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Zheng, Ruiqi ; Qu, Liang ; Chen, Tong... - p. 1712-1721 , 2024
Link: https://dl.acm.org/doi/1..
 
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4

On-Device Recommender Systems: A Tutorial on The New-Genera..:

, In: Companion Proceedings of the ACM on Web Conference 2024,
Yin, Hongzhi ; Chen, Tong ; Qu, Liang. - p. 1280-1283 , 2024
Link: https://dl.acm.org/doi/1..
 
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5

Towards Personalized Privacy: User-Governed Data Contributi..:

, In: Proceedings of the ACM on Web Conference 2024,
Qu, Liang ; Yuan, Wei ; Zheng, Ruiqi... - p. 3910-3918 , 2024
Link: https://dl.acm.org/doi/1..
 
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6

Semi-decentralized Federated Ego Graph Learning for Recomme..:

, In: Proceedings of the ACM Web Conference 2023,
Qu, Liang ; Tang, Ningzhi ; Zheng, Ruiqi... - p. 339-348 , 2023
Link: https://dl.acm.org/doi/1..
 
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7

Single-shot Embedding Dimension Search in Recommender Syste:

, In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Qu, Liang ; Ye, Yonghong ; Tang, Ningzhi... - p. 513-522 , 2022
Link: https://dl.acm.org/doi/1..
 
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8

ImGAGN : Imbalanced Network Embedding via Generative Adv..:

, In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,
Qu, Liang ; Zhu, Huaisheng ; Zheng, Ruiqi.. - p. 1390-1398 , 2021
Link: https://dl.acm.org/doi/1..
 
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9

BSO-CMA-ES: Brain Storm Optimization Based Covariance Matri..:

, In: Data Mining and Big Data; Communications in Computer and Information Science,
Qu, Liang ; Zheng, Ruiqi ; Shi, Yuhui - p. 167-174 , 2021
Link: https://doi.org/10.1007/..
 
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10

BSO-CLS: Brain Storm Optimization Algorithm with Cooperativ..:

, In: Lecture Notes in Computer Science; Advances in Swarm Intelligence,
Qu, Liang ; Duan, Qiqi ; Yang, Jian... - p. 243-250 , 2020
Link: https://doi.org/10.1007/..
 
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11

Continuous-Time Link Prediction via Temporal Dependent Grap..:

, In: Proceedings of The Web Conference 2020,
Qu, Liang ; Zhu, Huaisheng ; Duan, Qiqi. - p. 3026-3032 , 2020
Link: https://dl.acm.org/doi/1..
 
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12

Swarm Intelligence in Data Science: Applications, Opportuni..:

, In: Lecture Notes in Computer Science; Advances in Swarm Intelligence,
Yang, Jian ; Qu, Liang ; Shen, Yang... - p. 3-14 , 2020
Link: https://doi.org/10.1007/..
 
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13

BSOGCN: Brain Storm Optimization Graph Convolutional Networ..:

, In: 2020 IEEE Congress on Evolutionary Computation (CEC),
Qu, Liang ; Zhu, Huaisheng ; Shi, Yuhui - p. 1-7 , 2020
Link: https://doi.org/10.1109/..
 
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14

Hierarchical Decomposition based Cooperative Coevolution fo..:

, In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI),
Duan, Qiqi ; Qu, Liang ; Shao, Chang. - p. 2690-2697 , 2019
Link: https://doi.org/10.1109/..
 
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15

Case study : missing data computation and 3D printing ap..:

, In: Proceedings of the Symposium on VR Culture and Heritage - Volume 2,
zhou, Pengbo ; Shui, Wuyang ; Qu, Liang.. - p. 63-66 , 2016
Link: https://dl.acm.org/doi/1..
 
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