Research Output

Conference and Journal Publications (where * denotes equal contribution):

• [ICRA 2024 Under Review] Learning from Demonstration via Probabilistic Diagrammatic Teaching. W. Zhi, T. Zhang, M. Johnson-Roberson.

• [ICRA 2024 Under Review] Learning Orbitally Stable Systems for Diagrammatically Teaching. W. Zhi, K. Liu, T. Zhang, M. Johnson-Roberson.

• [ICRA 2024 Under Review] Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning. H. Wang, W.Zhi, G. Batista, R. Chandra

• [ICRA 2024 Under Review] L4KDE: Learning for Kinodynamic Tree Expansion. T. Lai, W.Zhi, T. Hermans, F. Ramos.

• [ICRA 2023] Global and Reactive Motion Generation with Geometric Fabric Command Sequences.  W. Zhi, I. Akinola, K. Van Wyk, N. Ratliff, F. Ramos 

• [ICML 2022] Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks. W. Zhi, T. Lai, L. Ott, E. V. Bonilla, F. Ramos

• [L4DC 2022, Best Paper Award] Diffeomorphic Transforms for Generalised Imitation Learning. W. Zhi, T. Lai, L. Ott, F. Ramos.

• [CORL 2021] Parallelised Diffeomorphic Sampling-based Motion Planning. T. Lai, W. Zhi, T. Hermans, F. Ramos. 

• [IROS 2021] Probabilistic Trajectory Prediction with Structural Constraints. W. Zhi, L. Ott, F. Ramos. 

• [IROS 2021] Trajectory Generation in New Environments from past Experiences. W. Zhi *, T. Lai *, L. Ott, F. Ramos.

• [ICRA 2021] Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. W. Zhi, T. Lai, L. Ott, F. Ramos.

• [CORL 2019] Kernel trajectory maps for multi-modal probabilistic motion prediction. W. Zhi, L. Ott, F. Ramos

• [RA-L + IROS 2019] Spatiotemporal learning of directional uncertainty in urban environments with kernel recurrent mixture density networks. W. Zhi, R. Senanyake, L. Ott, F. Ramos.

• [ICRA 2019] Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps. W. Zhi, R. Senanyake, L. Ott, F. Ramos.

I have also published work on machine learning for medical imaging, prior to my PhD, these include:

• [DICTA 2017] Using convolutional neural networks and transfer learning for bone age classification. J. Zhou, Z. Li, W. Zhi, B. Liang, D. Moses, L., Dawes.

• [ICONIP 2017] Using transfer learning with convolutional neural networks to diagnose breast cancer from histopathological images. W. Zhi, H.W.F Yeung, Z. Chen, S.M. Zandavi, Z. Lu, Y.Y. Chung.

• [ICONIP 2017] Using Layer Removal for Transfer Learning with Deep Convolutional Neural Networks. W. Zhi, H.W.F. Yueng, Z. Chen, S.M. Zandavi, Z. Lu, Y.Y. Chung.

• [ICONIP 2017] A Novel Ant Colony Detection Using Multi-Region Histogram for Object Tracking. S.M. Zandavi, F. Sha, V. Chung, Z. Lu, W. Zhi.

• [ICONIP 2017] Using Hidden Markov Model to Predict Human Actions with Swarm Intelligence. Z. Lu, Y.Y. Chung, H.W.F. Yueng, S.M. Zandavi, W. Zhi, W.C. Yeh.

• [ORSNZ 2017] Piecewise Linear Offers in the New Zealand Electricity Market. W. Zhi, K. Abbaszadeh, G. Zakeri, G. Pritchard.

Research service: 

• I was an organiser for the RSS pioneers workshop 2021, and served as a co-chair for a IROS 2021 technical session.

• I have served as a reviewer for the following conferences and journals: ICML, Neurips, ICRA, IROS, CoRL, IEEE RA-L, IEEE Transactions on Mechatronics, IEEE Transactions on Systems, Man, and Cybernetics, Part B.