| 2025 | CloudCom | Scaling Efficiency and Incentive Mechanism Optimization in the Bitcoin Lightning Network. | Yuhui Huo, Xiaolu Luo, Zhen Lu, Yihan Lu, Qi Cai, Miao Hu, Dong Tang |
| 2025 | ICML | PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering. | Xuqian Xue, Yiming Lei, Qi Cai, Hongming Shan, Junping Zhang |
| 2024 | CVPR | Boosting Diffusion Models with Moving Average Sampling in Frequency Domain. | Yurui Qian, Qi Cai, Yingwei Pan, Yehao Li, Ting Yao, Qibin Sun, Tao Mei |
| 2024 | IJCNN | Depressive Disorders Recognition by Functional Connectivity Using Graph Convolutional Network Based on EEG Microstates. | Yun Su, Qi Cai, Qi Chang, Yueyang Zhou, Runhe Huang |
| 2024 | IJCNN | EEG-based Emotion Recognition Using Temporal Convolutional Network and Vision Transformer. | Yun Su, Yueyang Zhou, Xuan Li, Qi Cai, Yishan Liu |
| 2024 | WCNC | UAV Trajectory Tracking via RNN-Enhanced IMM-KF with ADS-B Data. | Yian Zhu, Ziye Jia, Qihui Wu, Chao Dong, Zirui Zhuang, Huiling Hu, Qi Cai |
| 2023 | ICCV | ObjectFusion: Multi-modal 3D Object Detection with Object-Centric Fusion. | Qi Cai, Yingwei Pan, Ting Yao, Chong-Wah Ngo, Tao Mei |
| 2023 | ICLR | Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. | Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang |
| 2023 | ICONIP | Enhancing Camera Position Estimation by Multi-view Pure Rotation Recognition and Automated Annotation Learning. | Shuhao Jiang, Qi Cai, Yuanda Hu, Xiuqin Zhong |
| 2022 | ICML | Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency. | Qi Cai, Zhuoran Yang, Zhaoran Wang |
| 2022 | ICML | Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes. | Hongyi Guo, Qi Cai, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang |
| 2022 | ICPR | Joint Masked Autoencoding with Global Reconstruction for Point Cloud Learning. | Qi Cai |
| 2020 | CVPR | Learning a Unified Sample Weighting Network for Object Detection. | Qi Cai, Yingwei Pan, Yu Wang, Jingen Liu, Ting Yao, Tao Mei |
| 2020 | ICLR | Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. | Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang |
| 2020 | ICML | Provably Efficient Exploration in Policy Optimization. | Qi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang |
| 2020 | ICML | On the Global Optimality of Model-Agnostic Meta-Learning. | Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang |
| 2020 | ICML | Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate. | Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang |
| 2019 | CVPR | Exploring Object Relation in Mean Teacher for Cross-Domain Detection. | Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan, Ting Yao |
| 2018 | CVPR | Memory Matching Networks for One-Shot Image Recognition. | Qi Cai, Yingwei Pan, Ting Yao, Chenggang Yan, Tao Mei |
| 2017 | VCIP | Coefficient-group level modeling for low complexity RDO in HEVC. | Bo Huang, Zhifeng Chen, Qi Cai, Min Chen, Dapeng Oliver Wu |
| 2016 | GLOBECOM | DARC: Timely Classification with Randomly Delayed Features. | Jie Xu, Qi Cai, Cong Shen |
| 2016 | GLOBECOM | Storage-Retrieval-Repair Cost Tradeoff in Network-Coded Distributed Storage Systems. | Huazi Zhang, Qi Cai, Qiuyuan Huang, Dapeng Wu |
| 2014 | ISNN | The Research of Building Indoor Temperature Prediction Based on Support Vector Machine. | Wenbiao Wang, Qi Cai, Siyuan Wang |