| 2025 | SIGIR | Towards Principled Learning for Re-ranking in Recommender Systems. | Qunwei Li, Linghui Li, Jianbin Lin, Wenliang Zhong |
| 2024 | CVPR | Towards Efficient Replay in Federated Incremental Learning. | Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang |
| 2023 | SIGIR | Edge-cloud Collaborative Learning with Federated and Centralized Features. | Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu |
| 2022 | CIKM | Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations. | Ningning Li, Qunwei Li, Xichen Ding, Shaohu Chen, Wenliang Zhong |
| 2022 | ICASSP | Human Decision Making with Bounded Rationality. | Baocheng Geng, Qunwei Li, Pramod K. Varshney |
| 2022 | SIGIR | Denoising Time Cycle Modeling for Recommendation. | Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen, Wenliang Zhong |
| 2021 | AAAI | Learning Graph Neural Networks with Approximate Gradient Descent. | Qunwei Li, Shaofeng Zou, Wenliang Zhong |
| 2021 | ISIT | A Computationally Efficient Algorithm for Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. | Zhongchang Sun, Qunwei Li, Ruizhi Zhang, Shaofeng Zou |
| 2020 | ICASSP | Quickest Change Detection In Anonymous Heterogeneous Sensor Networks. | Zhongchang Sun, Shaofeng Zou, Qunwei Li |
| 2018 | ACSSC | Decision Tree Design for Classification in Crowdsourcing Systems. | Baocheng Geng, Qunwei Li, Pramod K. Varshney |
| 2018 | ICASSP | Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers. | Qunwei Li, Pramod K. Varshney |
| 2017 | ICML | Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization. | Qunwei Li, Yi Zhou, Yingbin Liang, Pramod K. Varshney |
| 2013 | GLOBECOM | A novel sequential spectrum sensing method in cognitive radio using suprathreshold stochastic resonance. | Qunwei Li, Zan Li, Jiangbo Si, Rui Gao |