| 2023 | DCC | Quantization: Is It Possible to Improve Classification? | Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li |
| 2020 | ICRA | Cross-context Visual Imitation Learning from Demonstrations. | Shuo Yang, Wei Zhang, Weizhi Lu, Hesheng Wang, Yibin Li |
| 2019 | CSCWD | Overhead Aware Task Scheduling for Cloud Container Services. | Weizhi Lu, Boyu Li, Bin Wu |
| 2019 | IJCAI | Exploring the Task Cooperation in Multi-goal Visual Navigation. | Yuechen Wu, Zhenhuan Rao, Wei Zhang, Shijian Lu, Weizhi Lu, Zheng-Jun Zha |
| 2019 | IJCNN | Multi-Satellite Resource Scheduling Based on Deep Neural Network. | Huan Meng, Changde Li, Weizhi Lu, Yuhan Dong, Zhipeng Zhao, Bin Wu |
| 2019 | IROS | Learning Actions from Human Demonstration Video for Robotic Manipulation. | Shuo Yang, Wei Zhang, Weizhi Lu, Hesheng Wang, Yibin Li |
| 2017 | DCC | Compressed Sensing Performance of Binary Matrices with Binary Column Correlations. | Weizhi Lu, Tao Dai, Shu-Tao Xia |
| 2017 | ICIP | Foveated nonlocal dual denoising. | Tao Dai, Ke Gu, Qingtao Tang, Kwok-Wai Hung, Yongbing Zhang, Weizhi Lu, Shu-Tao Xia |
| 2013 | ICASSP | Multi-object tracking using sparse representation. | Weizhi Lu, Cong Bai, Kidiyo Kpalma, Joseph Ronsin |
| 2012 | DCC | Sparse Binary Matrices of LDPC Codes for Compressed Sensing. | Weizhi Lu, Kidiyo Kpalma, Joseph Ronsin |