Liang Qu

2026

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Towards On-device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model.
Zhaofeng Zhong|Wei Yuan|Liang Qu|Tong Chen|Hao Wang|Xiangyu Zhao|Hongzhi Yin
ACM Transactions on Intelligent Systems and Technology (TIST) 2026 Volume 17 Issue 1

2025

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PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System.
Wei Yuan|Chaoqun Yang|Liang Qu|Quoc Viet Hung Nguyen|Guanhua Ye|Hongzhi Yin
ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 2
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Harnessing Large Language Models for Group POI Recommendations.
Jing Long|Liang Qu|Junliang Yu|Tong Chen|Quoc Viet Hung Nguyen|Hongzhi Yin
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
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Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts.
Yunke Qu|Liang Qu|Tong Chen|Quoc Viet Hung Nguyen|Hongzhi Yin
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025

2024

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Scalable Dynamic Embedding Size Search for Streaming Recommendation.
Yunke Qu|Liang Qu|Tong Chen|Xiangyu Zhao|Quoc Viet Hung Nguyen|Hongzhi Yin
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
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Poisoning Decentralized Collaborative Recommender System and Its Countermeasures.
Ruiqi Zheng|Liang Qu|Tong Chen|Kai Zheng|Yuhui Shi|Hongzhi Yin
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
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Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.
Liang Qu|Wei Yuan|Ruiqi Zheng|Lizhen Cui|Yuhui Shi|Hongzhi Yin
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
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Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.
Ruiqi Zheng|Liang Qu|Tong Chen|Lizhen Cui|Yuhui Shi|Hongzhi Yin
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
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On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm.
Hongzhi Yin|Tong Chen|Liang Qu|Bin Cui
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2023

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AutoML for Deep Recommender Systems: A Survey.
Ruiqi Zheng|Liang Qu|Bin Cui|Yuhui Shi|Hongzhi Yin
ACM Transactions on Information Systems (TOIS) 2023 Volume 41 Issue 4
doi dblp
Semi-decentralized Federated Ego Graph Learning for Recommendation.
Liang Qu|Ningzhi Tang|Ruiqi Zheng|Quoc Viet Hung Nguyen|Zi Huang|Yuhui Shi|Hongzhi Yin
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

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Single-shot Embedding Dimension Search in Recommender System.
Liang Qu|Yonghong Ye|Ningzhi Tang|Lixin Zhang|Yuhui Shi|Hongzhi Yin
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

2020

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Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network.
Liang Qu|Huaisheng Zhu|Qiqi Duan|Yuhui Shi
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020