| 2024 | IROS | Teaching Robots Where To Go And How To Act With Human Sketches via Spatial Diagrammatic Instructions. | Qilin Sun, Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson |
| 2024 | IROS | Neural Kinodynamic Planning: Learning for KinoDynamic Tree Expansion. | Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos |
| 2024 | IROS | V-PRISM: Probabilistic Mapping of Unknown Tabletop Scenes. | Herbert Wright, Weiming Zhi, Matthew Johnson-Roberson, Tucker Hermans |
| 2024 | IROS | DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark. | Tianyi Zhang, Kaining Huang, Weiming Zhi, Matthew Johnson-Roberson |
| 2024 | ICRA | Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning. | Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra |
| 2024 | ICRA | Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching. | Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson |
| 2023 | ICRA | Global and Reactive Motion Generation with Geometric Fabric Command Sequences. | Weiming Zhi, Iretiayo Akinola, Karl Van Wyk, Nathan D. Ratliff, Fabio Ramos |
| 2022 | ICML | Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks. | Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos |
| 2021 | CoRL | Parallelised Diffeomorphic Sampling-based Motion Planning. | Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos |
| 2021 | IROS | Trajectory Generation in New Environments from Past Experiences. | Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos |
| 2021 | IROS | Probabilistic Trajectory Prediction with Structural Constraints. | Weiming Zhi, Lionel Ott, Fabio Ramos |
| 2021 | ICRA | Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. | Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos |
| 2019 | CoRL | Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction. | Weiming Zhi, Lionel Ott, Fabio Ramos |
| 2019 | ICRA | Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps. | Weiming Zhi, Lionel Ott, Ransalu Senanayake, Fabio Ramos |
| 2017 | DICTA | Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification. | Jianlong Zhou, Zelin Li, Weiming Zhi, Bin Liang, Daniel Aaron Moses, Laughlin Dawes |
| 2017 | ICONIP | Using Hidden Markov Model to Predict Human Actions with Swarm Intelligence. | Zhicheng Lu, Yuk Ying Chung, Henry Wing Fung Yeung, Seid Miad Zandavi, Weiming Zhi, Wei-Chang Yeh |
| 2017 | ICONIP | A Novel Ant Colony Detection Using Multi-Region Histogram for Object Tracking. | Seid Miad Zandavi, Feng Sha, Vera Yuk Ying Chung, Zhicheng Lu, Weiming Zhi |
| 2017 | ICONIP | Layer Removal for Transfer Learning with Deep Convolutional Neural Networks. | Weiming Zhi, Zhenghao Chen, Henry Wing Fung Yeung, Zhicheng Lu, Seid Miad Zandavi, Yuk Ying Chung |
| 2017 | ICONIP | Using Transfer Learning with Convolutional Neural Networks to Diagnose Breast Cancer from Histopathological Images. | Weiming Zhi, Henry Wing Fung Yeung, Zhenghao Chen, Seid Miad Zandavi, Zhicheng Lu, Yuk Ying Chung |