Fast Moving Target Detection Based on Gray Correlation Analysis and Background Subtraction. - Zheng Dang; Songyun Xie; Ge Wang; Fahad Raza (ISNN (2), 2011)

Shadow Removal Based on Gray Correlation Analysis and Sobel Edge Detection Algorithm. - Feng Ji; Xinbo Gao 001; Zheng Dang; Songyun Xie (ISNN (2), 2011)

Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses. - Zheng Dang; Kwang Moo Yi; Yinlin Hu; Fei Wang 008; Pascal Fua; Mathieu Salzmann (ECCV (5), 2018)

Backpropagation-Friendly Eigendecomposition. - Wei Wang 108; Zheng Dang; Yinlin Hu; Pascal Fua; Mathieu Salzmann (NeurIPS, 2019)

Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration. - Zheng Dang; Fei Wang 008; Mathieu Salzmann (CoRR, 2020)

A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task. - Minglei Lu; Yu Guo 006; Fei Wang 008; Zheng Dang (CoRR, 2020)

3D Registration for Self-Occluded Objects in Context. - Zheng Dang; Fei Wang 008; Mathieu Salzmann (CoRR, 2020)

What Stops Learning-based 3D Registration from Working in the Real World? - Zheng Dang; Lizhou Wang; Junning Qiu; Minglei Lu; Mathieu Salzmann (CoRR, 2021)

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. - Zheng Dang; Kwang Moo Yi; Yinlin Hu; Fei Wang 008; Pascal Fua; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

NVAlloc: rethinking heap metadata management in persistent memory allocators. - Zheng Dang; Shuibing He; Peiyi Hong; Zhenxin Li; Xuechen Zhang 001; Xian-He Sun; Gang Chen 001 (ASPLOS, 2022)

Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. - Zheng Dang; Lizhou Wang; Yu Guo 006; Mathieu Salzmann (ECCV (1), 2022)

Robust Differentiable SVD. - Wei Wang 108; Zheng Dang; Yinlin Hu; Pascal Fua; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Robust Outlier Rejection for 3D Registration with Variational Bayes. - Haobo Jiang; Zheng Dang; Zhen Wei; Jin Xie 001; Jian Yang 003; Mathieu Salzmann (CVPR, 2023)

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration. - Zheng Dang; Mathieu Salzmann (ICCV, 2023)

Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation. - Haobo Jiang; Zheng Dang; Shuo Gu; Jin Xie 001; Mathieu Salzmann; Jian Yang 003 (ICCV, 2023)

Multi-Source Fusion for Voxel-Based 7-DoF Grasping Pose Estimation. - Junning Qiu; Fei Wang 008; Zheng Dang (IROS, 2023)

A Digital Twin Framework for Logical Range. - Zheng Dang; Hao Chen 019; Xinhong Hei 001; Yilong Liu (NaNA, 2023)

SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation. - Haobo Jiang; Mathieu Salzmann; Zheng Dang; Jin Xie 001; Jian Yang 003 (NeurIPS, 2023)

DiffusionPCR: Diffusion Models for Robust Multi-Step Point Cloud Registration. - Zhi Chen 011; Yufan Ren; Tong Zhang 023; Zheng Dang; Wenbing Tao; Sabine Süsstrunk; Mathieu Salzmann (CoRR, 2023)

DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses. - Chen Zhao; Tong Zhang 023; Zheng Dang; Mathieu Salzmann (CVPR, 2024)

CCL-BTree: A Crash-Consistent Locality-Aware B+-Tree for Reducing XPBuffer-Induced Write Amplification in Persistent Memory. - Zhenxin Li; Shuibing He; Zheng Dang; Peiyi Hong; Xuechen Zhang 001; Rui Wang 076; Fei Wu 001 (EuroSys, 2024)

Efficient Large Graph Processing with Chunk-Based Graph Representation Model. - Rui Wang 076; Weixu Zong; Shuibing He; Xinyu Chen; Zhenxin Li; Zheng Dang (USENIX ATC, 2024)

OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction. - Zheng Dang; Jialu Huang; Fei Wang 008; Mathieu Salzmann (CoRR, 2024)

PMAlloc: A Holistic Approach to Improving Persistent Memory Allocation. - Zheng Dang; Shuibing He; Xuechen Zhang 001; Peiyi Hong; Zhenxin Li; Xinyu Chen; Haozhe Song; Xian-He Sun; Gang Chen 001 (ACM Trans. Comput. Syst., 2024)

Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. - Zheng Dang; Lizhou Wang; Yu Guo 006; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

An In-Depth Study of Personalized Anesthesia Management Models in Gastrointestinal Endoscopy Based on Multimodal Deep Learning. - Hanqi Shi; Hongyu Wang; Xibing Ding; Zheng Dang (IEEE Access, 2025)

Adaptive Multi-step Refinement Network for Robust Point Cloud Registration. - Zhi Chen 011; Yufan Ren; Tong Zhang 023; Zheng Dang; Wenbing Tao; Sabine Süsstrunk; Mathieu Salzmann (Trans. Mach. Learn. Res., 2025)