Robust sequential subspace clustering via ℓ1-norm temporal graph. - Wenyu Hu; Shenghao Li; Weidong Zheng; Yao Lu 007; Gaohang Yu (Neurocomputing, 2020)

Autonomous Exploration and Map Construction of a Mobile Robot Based on the TGHM Algorithm. - Shuang Liu; Shenghao Li; Luchao Pang; Jiahao Hu; Haoyao Chen; Xiancheng Zhang (Sensors, 2020)

Controllability and Stabilizability of a Higher Order Wave Equation on a Periodic Domain. - Shenghao Li; Min Chen; Bingyu Zhang (SIAM J. Control. Optim., 2020)

Computing the nearest polynomial to multiple given polynomials with a given zero via l2, q-norm minimization. - Wenyu Hu; Shenghao Li; Jinhong Huang; Tinghua Wang; Gaohang Yu (Theor. Comput. Sci., 2020)

Self-supervised Feature Detection and Binary Description in Hamming Space for Mobile Platforms. - Shenghao Li; Guibao Zhang; Qunfei Zhao (RCAR, 2021)

Fast and Accurate Pose Estimation for Industrial Workpieces Robotic Picking. - Qichuan Tang; Xiaosong Gao; Shenghao Li; Qunfei Zhao (RSAE, 2021)

Instance Segmentation of Point Cloud Based on Improved DGCNN for Robotic Grasping. - Shenghao Li; Xiang Zhou; Xiaohan Li; Xiaozhen Zhang (CACRE, 2022)

DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport. - Zezeng Li; Shenghao Li; Zhanpeng Wang; Na Lei; Zhongxuan Luo; Xianfeng David Gu (ICCV, 2023)

who is snoring? snore based user recognition. - Shenghao Li; Jagmohan Chauhan (CoRR, 2023)

Sparse-to-Local-Dense Matching for Geometry-Guided Correspondence Estimation. - Shenghao Li; Qunfei Zhao; Zeyang Xia (IEEE Trans. Image Process., 2023)

Attention-based deep clustering method for scRNA-seq cell type identification. - Shenghao Li; Hui Guo; Simai Zhang; Yizhou Li; Menglong Li (PLoS Comput. Biol., 2023)

Multicam-SLAM: Non-overlapping Multi-camera SLAM for Indirect Visual Localization and Navigation. - Shenghao Li; Luchao Pang; Xianglong Hu (CoRR, 2024)

In-Place Panoptic Radiance Field Segmentation with Perceptual Prior for 3D Scene Understanding. - Shenghao Li (CoRR, 2024)

Solving Prior Distribution Mismatch in Diffusion Models via Optimal Transport. - Zhanpeng Wang; Shenghao Li; Chen Wang; Shuting Cao; Na Lei; Zhongxuan Luo (CoRR, 2024)

OT-net: a reusable neural optimal transport solver. - Zezeng Li; Shenghao Li; Lianbao Jin; Na Lei; Zhongxuan Luo (Mach. Learn., 2024)

Representing Boundary-Ambiguous Scene Online With Scale-Encoded Cascaded Grids and Radiance Field Deblurring. - Shenghao Li; Zeyang Xia; Qunfei Zhao (IEEE Trans. Circuits Syst. Video Technol., 2024)

Measure-Driven Neural Solver for Optimal Transport Mapping. - Shenghao Li; Zezeng Li; Zhanpeng Wang; Zebin Xu; Na Lei; Zhongxuan Luo (IEEE Trans. Circuits Syst. Video Technol., 2024)

An optimal transport-guided diffusion framework with mitigating mode mixture. - Shenghao Li; Zhanpeng Wang; Zhongxuan Luo; Na Lei (Neurocomputing, 2025)