Estimating 6D Pose From Localizing Designated Surface Keypoints. - Zelin Zhao; Gao Peng; Haoyu Wang; Haoshu Fang; Chengkun Li; Cewu Lu (CoRR, 2018)

Fine-grained Object Semantic Understanding from Correspondences. - Yang You 004; Chengkun Li; Yujing Lou; Zhoujun Cheng; Liangwei Li; Lizhuang Ma; Weiming Wang; Cewu Lu (CoRR, 2019)

KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations. - Yang You 004; Yujing Lou; Chengkun Li; Zhoujun Cheng; Liangwei Li; Lizhuang Ma; Cewu Lu; Weiming Wang (CVPR, 2020)

Human Correspondence Consensus for 3D Object Semantic Understanding. - Yujing Lou; Yang You 004; Chengkun Li; Zhoujun Cheng; Liangwei Li; Lizhuang Ma; Weiming Wang; Cewu Lu (ECCV (22), 2020)

SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances. - Yancheng Pan; Biao Gao; Jilin Mei; Sibo Geng; Chengkun Li; Huijing Zhao (IV, 2020)

Semantic Correspondence via 2D-3D-2D Cycle. - Yang You 004; Chengkun Li; Yujing Lou; Zhoujun Cheng; Lizhuang Ma; Cewu Lu; Weiming Wang (CoRR, 2020)

Are We Hungry for 3D LiDAR Data for Semantic Segmentation? - Biao Gao; Yancheng Pan; Chengkun Li; Sibo Geng; Huijing Zhao (CoRR, 2020)

Factors Influencing Spatial Deprivation of Urban Public Transit - - The Perspective of Public Transit Resource Allocation. - Yuanyuan Zhang; Chengkun Li; Zehui Chen (ICIT, 2021)

Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes. - Yang You 004; Zelin Ye; Yujing Lou; Chengkun Li; Yong-Lu Li 001; Lizhuang Ma; Weiming Wang; Cewu Lu (CVPR, 2022)

Model Generalization: A Sharpness Aware Optimization Perspective. - Jozef Marus Coldenhoff; Chengkun Li; Yurui Zhu (CoRR, 2022)

Match and mismatched second-order sliding mode finite-time control with simple parameter conditions and its applications. - Jun Liu 094; Chengkun Li (J. Control. Decis., 2022)

Understanding Pixel-Level 2D Image Semantics With 3D Keypoint Knowledge Engine. - Yang You 004; Chengkun Li; Yujing Lou; Zhoujun Cheng; Liangwei Li; Lizhuang Ma; Weiming Wang; Cewu Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey of Datasets and Methods. - Biao Gao; Yancheng Pan; Chengkun Li; Sibo Geng; Huijing Zhao (IEEE Trans. Intell. Transp. Syst., 2022)

Fast post-process Bayesian inference with Sparse Variational Bayesian Monte Carlo. - Chengkun Li; Grégoire Clarté; Luigi Acerbi (CoRR, 2023)

Robotic surgery remote mentoring via AR with 3D scene streaming and hand interaction. - Yonghao Long 001; Chengkun Li; Qi Dou 001 (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

PyVBMC: Efficient Bayesian inference in Python. - Bobby Huggins; Chengkun Li; Marlon Tobaben; Mikko J. Aarnos; Luigi Acerbi (J. Open Source Softw., 2023)

Hardware-Aware Design of Speed-Up Algorithms for Synthetic Aperture Radar Ship Target Detection Networks. - Yue Zhang 016; Shuai Jiang; Yue Cao; Jiarong Xiao; Chengkun Li; Xuan Zhou; Zhongjun Yu (Remote. Sens., 2023)

InkSight: Offline-to-Online Handwriting Conversion by Learning to Read and Write. - Blagoj Mitrevski; Arina Rak; Julian Schnitzler; Chengkun Li; Andrii Maksai; Jesse Berent; Claudiu Musat (CoRR, 2024)

Amortized Bayesian Workflow (Extended Abstract). - Marvin Schmitt; Chengkun Li; Aki Vehtari; Luigi Acerbi; Paul-Christian Bürkner; Stefan T. Radev (CoRR, 2024)

Modular Quantization-Aware Training for 6D Object Pose Estimation. - Saqib Javed; Chengkun Li; Andrew Lawrence Price; Yinlin Hu; Mathieu Salzmann (Trans. Mach. Learn. Res., 2024)

Extended Reality With HMD-Assisted Guidance and Console 3D Overlay for Robotic Surgery Remote Mentoring. - Chengkun Li; Yuqi Tong; Yonghao Long 001; Weixin Si; David Chun Man Yeung; Jason Ying-Kuen Chan; Qi Dou 001 (IEEE Robotics Autom. Lett., 2024)

Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations. - Chengkun Li; Bobby Huggins; Petrus Mikkola; Luigi Acerbi (AABI, 2025)

InkSight: Offline-to-Online Handwriting Conversion by Teaching Vision-Language Models to Read and Write. - Blagoj Mitrevski; Arina Rak; Julian Schnitzler; Chengkun Li; Andrii Maksai; Jesse Berent; Claudiu Cristian Musat (Trans. Mach. Learn. Res., 2025)

Stacking Variational Bayesian Monte Carlo. - Francesco Silvestrin; Chengkun Li; Luigi Acerbi (CoRR, 2025)

ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data. - Chengkun Li; Yuqi Tong; Kai Chen 028; Zhenya Yang; Ruiyang Li; Shi Qiu; Jason Ying-Kuen Chan; Pheng-Ann Heng; Qi Dou 001 (CoRR, 2025)

Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature. - Chengkun Li; Grégoire Clarté; Martin Jørgensen; Luigi Acerbi (Stat. Comput., 2025)