Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification. - Jianlong Zhou; Zelin Li; Weiming Zhi; Bin Liang 003; Daniel Aaron Moses; Laughlin Dawes (DICTA, 2017)

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 001 (ICONIP (4), 2017)

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 (ICONIP (3), 2017)

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 (ICONIP (2), 2017)

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 (ICONIP (4), 2017)

Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction. - Weiming Zhi; Lionel Ott; Fabio Ramos 001 (CoRL, 2019)

Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps. - Weiming Zhi; Lionel Ott; Ransalu Senanayake; Fabio Ramos 001 (ICRA, 2019)

Occ-Traj120: Occupancy Maps with Associated Trajectories. - Tin Lai; Weiming Zhi; Fabio Ramos 001 (CoRR, 2019)

OCTNet: Trajectory Generation in New Environments from Past Experiences. - Weiming Zhi; Tin Lai; Lionel Ott; Gilad Francis; Fabio Ramos 001 (CoRR, 2019)

Spatiotemporal Learning of Directional Uncertainty in Urban Environments With Kernel Recurrent Mixture Density Networks. - Weiming Zhi; Ransalu Senanayake; Lionel Ott; Fabio Ramos 001 (IEEE Robotics Autom. Lett., 2019)

Parallelised Diffeomorphic Sampling-based Motion Planning. - Tin Lai; Weiming Zhi; Tucker Hermans; Fabio Ramos 001 (CoRL, 2021)

Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. - Weiming Zhi; Tin Lai; Lionel Ott; Fabio Ramos 001 (ICRA, 2021)

Trajectory Generation in New Environments from Past Experiences. - Weiming Zhi; Tin Lai; Lionel Ott; Fabio Ramos 001 (IROS, 2021)

Probabilistic Trajectory Prediction with Structural Constraints. - Weiming Zhi; Lionel Ott; Fabio Ramos 001 (IROS, 2021)

Learning ODEs via Diffeomorphisms for Fast and Robust Integration. - Weiming Zhi; Tin Lai; Lionel Ott; Edwin V. Bonilla; Fabio Ramos 001 (CoRR, 2021)

Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks. - Weiming Zhi; Tin Lai; Lionel Ott; Edwin V. Bonilla; Fabio Ramos 001 (ICML, 2022)

Diffeomorphic Transforms for Generalised Imitation Learning. - Weiming Zhi; Tin Lai; Lionel Ott; Fabio Ramos 001 (L4DC, 2022)

L4KDE: Learning for KinoDynamic Tree Expansion. - Tin Lai; Weiming Zhi; Tucker Hermans; Fabio Ramos 001 (CoRR, 2022)

Global and Reactive Motion Generation with Geometric Fabric Command Sequences. - Weiming Zhi; Iretiayo Akinola; Karl Van Wyk; Nathan D. Ratliff; Fabio Ramos 001 (ICRA, 2023)

Learning from Demonstration via Probabilistic Diagrammatic Teaching. - Weiming Zhi; Tianyi Zhang 014; Matthew Johnson-Roberson (CoRR, 2023)

Learning Orbitally Stable Systems for Diagrammatically Teaching. - Weiming Zhi; Kangni Liu; Tianyi Zhang 014; Matthew Johnson-Roberson (CoRR, 2023)

Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning. - Honghui Wang; Weiming Zhi; Gustavo Batista; Rohitash Chandra (ICRA, 2024)

Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching. - Weiming Zhi; Tianyi Zhang 014; Matthew Johnson-Roberson (ICRA, 2024)

Teaching Robots Where To Go And How To Act With Human Sketches via Spatial Diagrammatic Instructions. - Qilin Sun 007; Weiming Zhi; Tianyi Zhang 014; Matthew Johnson-Roberson (IROS, 2024)

Neural Kinodynamic Planning: Learning for KinoDynamic Tree Expansion. - Tin Lai; Weiming Zhi; Tucker Hermans; Fabio Ramos 001 (IROS, 2024)

V-PRISM: Probabilistic Mapping of Unknown Tabletop Scenes. - Herbert Wright; Weiming Zhi; Matthew Johnson-Roberson; Tucker Hermans (IROS, 2024)

DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark. - Tianyi Zhang 014; Kaining Huang; Weiming Zhi; Matthew Johnson-Roberson (IROS, 2024)

Diagrammatic Instructions to Specify Spatial Objectives and Constraints with Applications to Mobile Base Placement. - Qilin Sun 007; Weiming Zhi; Tianyi Zhang 014; Matthew Johnson-Roberson (CoRR, 2024)

Unifying Scene Representation and Hand-Eye Calibration with 3D Foundation Models. - Weiming Zhi; Haozhan Tang; Tianyi Zhang 014; Matthew Johnson-Roberson (CoRR, 2024)

RecGS: Removing Water Caustic with Recurrent Gaussian Splatting. - Tianyi Zhang 014; Weiming Zhi; Kaining Huang; Joshua G. Mangelson; Corina Barbalata; Matthew Johnson-Roberson (CoRR, 2024)

3D Foundation Models Enable Simultaneous Geometry and Pose Estimation of Grasped Objects. - Weiming Zhi; Haozhan Tang; Tianyi Zhang 014; Matthew Johnson-Roberson (CoRR, 2024)

Learning to Represent Surroundings, Anticipate Motion and Take Informed Actions in Unstructured Environments. - Weiming Zhi (CoRR, 2024)

ModCube: Modular, Self-Assembling Cubic Underwater Robot. - Jiaxi Zheng; Guangmin Dai; Botao He; Zhaoyang Mu; Zhaochen Meng; Tianyi Zhang 014; Weiming Zhi; Dixia Fan (CoRR, 2024)

PhotoReg: Photometrically Registering 3D Gaussian Splatting Models. - Ziwen Yuan; Tianyi Zhang 014; Matthew Johnson-Roberson; Weiming Zhi (CoRR, 2024)

SplaTraj: Camera Trajectory Generation with Semantic Gaussian Splatting. - Xinyi Liu; Tianyi Zhang 014; Matthew Johnson-Roberson; Weiming Zhi (CoRR, 2024)

Robust Bayesian Scene Reconstruction by Leveraging Retrieval-Augmented Priors. - Herbert Wright; Weiming Zhi; Matthew Johnson-Roberson; Tucker Hermans (CoRR, 2024)

Unifying Representation and Calibration With 3D Foundation Models. - Weiming Zhi; Haozhan Tang; Tianyi Zhang 014; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2024)

Simultaneous Geometry and Pose Estimation of Held Objects Via 3D Foundation Models. - Weiming Zhi; Haozhan Tang; Tianyi Zhang 014; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2024)

Pedestrian trajectory prediction using goal-driven and dynamics-based deep learning framework. - Honghui Wang; Weiming Zhi; Gustavo Batista; Rohitash Chandra (Expert Syst. Appl., 2025)

Multiquery Robotic Manipulator Task Sequencing With Gromov-Hausdorff Approximations. - Fouad Sukkar; Jennifer Wakulicz; Ki Myung Brian Lee; Weiming Zhi; Robert Fitch (IEEE Trans. Robotics, 2025)

RecGS: Removing Water Caustic With Recurrent Gaussian Splatting. - Tianyi Zhang 014; Weiming Zhi; Braden Meyers; Nelson Durrant; Kaining Huang; Joshua G. Mangelson; Corina Barbalata; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2025)

DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories. - Hongzhe Cheng; Tianyou Zheng; Tianyi Zhang 014; Matthew Johnson-Roberson; Weiming Zhi (CoRR, 2025)

Teaching Periodic Stable Robot Motion Generation via Sketch. - Weiming Zhi; Haozhan Tang; Tianyi Zhang 014; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2025)

Infinite Leagues Under the Sea: Photorealistic 3D Underwater Terrain Generation by Latent Fractal Diffusion Models. - Tianyi Zhang 014; Weiming Zhi; Joshua G. Mangelson; Matthew Johnson-Roberson (CoRR, 2025)

GraphSeg: Segmented 3D Representations via Graph Edge Addition and Contraction. - Haozhan Tang; Tianyi Zhang 014; Oliver Kroemer; Matthew Johnson-Roberson; Weiming Zhi (CoRR, 2025)

RS-ModCubes: Self-Reconfigurable, Scalable, Modular Cubic Robots for Underwater Operations. - Jiaxi Zheng; Guangmin Dai; Botao He; Zhaoyang Mu; Zhaochen Meng; Tianyi Zhang 014; Weiming Zhi; Dixia Fan (IEEE Robotics Autom. Lett., 2025)

From Single Images to Motion Policies via Video-Generation Environment Representations. - Weiming Zhi; Ziyong Ma; Tianyi Zhang 014; Matthew Johnson-Roberson (CoRR, 2025)

Bi-Manual Joint Camera Calibration and Scene Representation. - Haozhan Tang; Tianyi Zhang 014; Matthew Johnson-Roberson; Weiming Zhi (CoRR, 2025)