Accurate Vascular Delay Estimation from Low-Temporal Resolution Image Data Set [Life Sciences]. - Kelvin Wong; Chi-Pan Tam; Michael K. Ng 001 (IEEE Signal Process. Mag., 2010)

Towards a national 3D mapping product for Great Britain. - Kelvin Wong (2018)

Road Scene Risk Perception for Intelligent Vehicles Using End-to-End Affordance Learning and Visual Reasoning. - Jayani Withanawasam; Ehsan Javanmardi; Kelvin Wong; Mahdi Javanmardi; Shunsuke Kamijo (ACPR (1), 2019)

Identifying Unknown Instances for Autonomous Driving. - Kelvin Wong; Shenlong Wang; Mengye Ren; Ming Liang; Raquel Urtasun (CoRL, 2019)

Classifying Human Activity and Smartphone Holding Mode Using Accelerometer and Gyroscope. - Kazuki Motani; Kelvin Wong; Shunsuke Kamijo (GCCE, 2019)

Evaluating the Capability of OpenStreetMap for Estimating Vehicle Localization Error. - Kelvin Wong; Ehsan Javanmardi; Mahdi Javanmardi; Yanlei Gu; Shunsuke Kamijo (ITSC, 2019)

Deformable Filter Convolution for Point Cloud Reasoning. - Yuwen Xiong; Mengye Ren; Renjie Liao; Kelvin Wong; Raquel Urtasun (CoRR, 2019)

Estimating Autonomous Vehicle Localization Error Using 2D Geographic Information. - Kelvin Wong; Ehsan Javanmardi; Mahdi Javanmardi; Shunsuke Kamijo (ISPRS Int. J. Geo Inf., 2019)

An LSTM-Method-Based Availability Prediction for Optimized Offloading in Mobile Edges. - Chaoxiong Cui; Ming Zhao 007; Kelvin Wong (Sensors, 2019)

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. - Lila Huang; Shenlong Wang; Kelvin Wong; Jerry Liu; Raquel Urtasun (CVPR, 2020)

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. - Sivabalan Manivasagam; Shenlong Wang; Kelvin Wong; Wenyuan Zeng; Mikita Sazanovich; Shuhan Tan; Bin Yang 021; Wei-Chiu Ma; Raquel Urtasun (CVPR, 2020)

Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction. - Kelvin Wong; Qiang Zhang; Ming Liang; Bin Yang 021; Renjie Liao; Abbas Sadat; Raquel Urtasun (ECCV (26), 2020)

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models. - Sourav Biswas 001; Jerry Liu; Kelvin Wong; Shenlong Wang; Raquel Urtasun (NeurIPS, 2020)

Illumination-Invariant Feature Point Detection Based on Neighborhood Information. - Ruiping Wang; Liangcai Zeng; Shiqian Wu; Wei Cao; Kelvin Wong (Sensors, 2020)

SceneGen: Learning To Generate Realistic Traffic Scenes. - Shuhan Tan; Kelvin Wong; Shenlong Wang; Sivabalan Manivasagam; Mengye Ren; Raquel Urtasun (CVPR, 2021)

Simultaneous visibility representations of undirected pairs of graphs. - Ben Chugg; William S. Evans; Kelvin Wong (Comput. Geom., 2021)

Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving. - Min Bai; Shenlong Wang; Kelvin Wong; Ersin Yumer; Raquel Urtasun (CoRR, 2021)

Mapping for Autonomous Driving: Opportunities and Challenges. - Kelvin Wong; Yanlei Gu; Shunsuke Kamijo (IEEE Intell. Transp. Syst. Mag., 2021)

ParallelDualSPHysics: supporting efficient parallel fluid simulations through MPI-enabled SPH method. - Sifan Long; Xiaowei Guo; Xiaokang Fan; Chao Li 070; Kelvin Wong; Ran Zhao; Yi Liu 083; Sen Zhang; Canqun Yang (ICPP, 2022)

Towards Scalable Coverage-Based Testing of Autonomous Vehicles. - James Tu; Simon Suo; Chris Zhang 001; Kelvin Wong; Raquel Urtasun (CoRL, 2023)

Learning Realistic Traffic Agents in Closed-loop. - Chris Zhang 001; James Tu; Lunjun Zhang; Kelvin Wong; Simon Suo; Raquel Urtasun (CoRL, 2023)

MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation. - Simon Suo; Kelvin Wong; Justin Xu; James Tu; Alexander Cui; Sergio Casas 002; Raquel Urtasun (CVPR, 2023)

GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting. - Alexander Cui; Sergio Casas 002; Kelvin Wong; Simon Suo; Raquel Urtasun (ICRA, 2023)

Learning to Drive via Asymmetric Self-Play. - Chris Zhang 001; Sourav Biswas 001; Kelvin Wong; Kion Fallah; Lunjun Zhang; Dian Chen; Sergio Casas 002; Raquel Urtasun (ECCV (62), 2024)

SceneControl: Diffusion for Controllable Traffic Scene Generation. - Jack Lu; Kelvin Wong; Chris Zhang 001; Simon Suo; Raquel Urtasun (ICRA, 2024)

Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them. - Chao Liu; Boxi Chen; Wei Shao; Chris Zhang 003; Kelvin Wong; Yi Zhang (CoRR, 2024)

QMDB: Quick Merkle Database. - Isaac Zhang; Ryan Zarick; Daniel Wong; Thomas Kim; Bryan Pellegrino; Mignon Li; Kelvin Wong (CoRR, 2025)

FAFO: Over 1 million TPS on a single node running EVM while still Merkleizing every block. - Ryan Zarick; Isaac Zhang; Daniel Wong; Thomas Kim; Bryan Pellegrino; Mignon Li; Kelvin Wong (CoRR, 2025)