| 2025 | CIKM | Harnessing Large Language Models for Group POI Recommendations. | Jing Long, Liang Qu, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2025 | CIKM | Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts. | Yunke Qu, Liang Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2025 | COMPSAC | Metal Artifact Reduction Methods Using Deep Generative Models for Cultural Relics X-ray CT Images. | Daxin Peng, Jianqiang Li, Liang Qu, Jing Huang, Xi Xu, Jianyu Liu, Zhenbin Xie, Qing Xiao, Xueyan Zhang, Junyu Zhao, Qixin Chen, Wenyi Liang |
| 2024 | ADMA | PDC-FRS: Privacy-Preserving Data Contribution for Federated Recommender System. | Chaoqun Yang, Wei Yuan, Liang Qu, Thanh Tam Nguyen |
| 2024 | CEC | Brain Storm Optimization based Swarm Learning for Diabetic Retinopathy Image Classification. | Liang Qu, Cunze Wang, Yuhui Shi |
| 2024 | CIKM | Scalable Dynamic Embedding Size Search for Streaming Recommendation. | Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2024 | ICDE | HeteFedRec: Federated Recommender Systems with Model Heterogeneity. | Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin |
| 2024 | ICDE | Hide Your Model: A Parameter Transmission-free Federated Recommender System. | Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin |
| 2024 | WWW | Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. | Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin |
| 2024 | WWW | On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. | Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui |
| 2024 | WWW | Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. | Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin |
| 2024 | SIGIR | Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. | Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin |
| 2023 | WWW | Semi-decentralized Federated Ego Graph Learning for Recommendation. | Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin |
| 2022 | SIGIR | Single-shot Embedding Dimension Search in Recommender System. | Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin |
| 2021 | KDD | ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. | Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin |
| 2020 | CEC | BSOGCN: Brain Storm Optimization Graph Convolutional Networks Based Heterogeneous Information Networks Embedding. | Liang Qu, Huaisheng Zhu, Yuhui Shi |
| 2020 | WWW | Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network. | Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi |
| 2019 | CEC | When Cooperative Co-Evolution Meets Coordinate Descent: Theoretically Deeper Understandings and Practically Better Implementations. | Qiqi Duan, Chang Shao, Liang Qu, Yuhui Shi, Ben Niu |
| 2019 | CEC | Gradient-free Algorithms for Graph Embedding. | Liang Qu, Yuhui Shi |