Half-space mass: a maximally robust and efficient data depth method. - Bo Chen 009; Kai Ming Ting; Takashi Washio; Gholamreza Haffari (Mach. Learn., 2015)

Neighbourhood Contrast: A Better Means to Detect Clusters Than Density. - Bo Chen 009; Kai Ming Ting (PAKDD (3), 2018)

Local contrast as an effective means to robust clustering against varying densities. - Bo Chen 009; Kai Ming Ting; Takashi Washio; Ye Zhu 002 (Mach. Learn., 2018)

Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. - Bo Chen 009; Jiewei Cao; Álvaro Parra Bustos; Tat-Jun Chin (ICCV Workshops, 2019)

BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization. - Bo Chen 009; Tat-Jun Chin; Nan Li (CoRR, 2019)

Mass estimation as a means to address shortcomings of data depth and density. - Bo Chen 009 (2019)

End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization. - Bo Chen 009; Álvaro Parra 001; Jiewei Cao; Nan Li; Tat-Jun Chin (CVPR, 2020)

Anomaly Detection via Neighbourhood Contrast. - Bo Chen 009; Kai Ming Ting; Tat-Jun Chin (PAKDD (2), 2020)

Topological Sweep for Multi-Target Detection of Geostationary Space Objects. - Daqi Liu; Bo Chen 009; Tat-Jun Chin; Mark G. Rutten (IEEE Trans. Signal Process., 2020)

spotGEO dataset. - Bo Chen 009; Daqi Liu; Tat-Jun Chin; Mark Rutten; Dawa Derksen; Marcus Märtens; Moritz von Looz; Gurvan Lécuyer; Dario Izzo (Zenodo, 2020)

spotGEO starter kit. - Dawa Derksen; Marcus Märtens; Moritz von Looz; Gurvan Lécuyer; Dario Izzo; Bo Chen 009; Daqi Liu; Tat-Jun Chin; Mark Rutten (Zenodo, 2020)

Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge. - Bo Chen 009; Daqi Liu; Tat-Jun Chin; Mark Rutten; Dawa Derksen; Marcus Märtens; Moritz von Looz; Gurvan Lécuyer; Dario Izzo (CVPR Workshops, 2021)

A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. - Dung Anh Hoang; Bo Chen 009; Tat-Jun Chin (CVPR Workshops, 2021)

Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector. - Andrew Du; Yee Wei Law; Michele Sasdelli; Bo Chen 009; Ken Clarke; Michael S. Brown; Tat-Jun Chin (CoRR, 2021)

spotGEO dataset. - Bo Chen 009; Daqi Liu; Tat-Jun Chin; Mark Rutten; Dawa Derksen; Marcus Märtens; Moritz von Looz; Gurvan Lécuyer; Dario Izzo (Zenodo, 2021)

Update Compression for Deep Neural Networks on the Edge. - Bo Chen 009; Ali Bakhshi; Gustavo Batista; Brian Wai-Him Ng; Tat-Jun Chin (CVPR Workshops, 2022)

Asynchronous Optimisation for Event-based Visual Odometry. - Daqi Liu; Álvaro Parra 001; Yasir Latif; Bo Chen 009; Tat-Jun Chin; Ian D. Reid 001 (ICRA, 2022)

Occlusion-Robust Object Pose Estimation with Holistic Representation. - Bo Chen 009; Tat-Jun Chin; Marius Klimavicius (WACV, 2022)

Physical Adversarial Attacks on an Aerial Imagery Object Detector. - Andrew Du; Bo Chen 009; Tat-Jun Chin; Yee Wei Law; Michele Sasdelli; Ramesh Rajasegaran; Dillon Campbell (WACV, 2022)