Ensemble control of open quantum systems using differential evolution. - Yingying Sun; Hailan Ma; Chengzhi Wu; Chunlin Chen; Daoyi Dong (ASCC, 2015)

Robust Quantum Operation for Two-Level Systems Using Sampling-Based Learning Control. - Chengzhi Wu; Chunlin Chen; Bo Qi; Daoyi Dong (SMC, 2015)

Robust Learning Control Design for Quantum Unitary Transformations. - Chengzhi Wu; Bo Qi; Chunlin Chen; Daoyi Dong (IEEE Trans. Cybern., 2017)

Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage. - Gisela Lanza; Tamim Asfour; Jürgen Beyerer; Barbara Deml; Jürgen Fleischer; Michael Heizmann; Kai Furmans; Constantin Hofmann; Alexander Cebulla; Christian R. G. Dreher; Jan-Philipp Kaiser; Jan-Felix Klein; et al. (Autom., 2022)

Time Series Surface Deformation of Changbaishan Volcano Based on Sentinel-1B SAR Data and Its Geological Significance. - Zhiguo Meng; Chuanzeng Shu; Ying Yang; Chengzhi Wu; Xuegang Dong; Dongzhen Wang; Yuanzhi Zhang (Remote. Sens., 2022)

Attention-based Part Assembly for 3D Volumetric Shape Modeling. - Chengzhi Wu; Junwei Zheng; Julius Pfrommer; Jürgen Beyerer (CVPR Workshops, 2023)

Attention-Based Point Cloud Edge Sampling. - Chengzhi Wu; Junwei Zheng; Julius Pfrommer; Jürgen Beyerer (CVPR, 2023)

SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-Task Learning. - Chengzhi Wu; Linxi Qiu; Kanran Zhou; Julius Pfrommer; Jürgen Beyerer (VISIGRAPP (4: VISAPP), 2023)

Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly. - Chengzhi Wu; Xuelei Bi; Julius Pfrommer; Alexander Cebulla; Simon Mangold; Jürgen Beyerer (WACV, 2023)

Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input. - Chengzhi Wu; Julius Pfrommer; Mingyuan Zhou; Jürgen Beyerer (CoRR, 2023)

Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding. - Chengzhi Wu; Julius Pfrommer; Jürgen Beyerer; Kangning Li; Boris Neubert (CoRR, 2023)

MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors. - Chengzhi Wu; Kanran Zhou; Jan-Philipp Kaiser; Norbert Mitschke; Jan-Felix Klein; Julius Pfrommer; Jürgen Beyerer; Gisela Lanza; Michael Heizmann; Kai Furmans (CoRR, 2023)

DiffAnt: Diffusion Models for Action Anticipation. - Zeyun Zhong; Chengzhi Wu; Manuel Martin; Michael Voit; Juergen Gall; Jürgen Beyerer (CoRR, 2023)

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning. - Chengzhi Wu; Qianliang Huang; Kun Jin; Julius Pfrommer; Jürgen Beyerer (3DV, 2024)

Open Panoramic Segmentation. - Junwei Zheng; Ruiping Liu 001; Yufan Chen 001; Kunyu Peng; Chengzhi Wu; Kailun Yang 001; Jiaming Zhang 001; Rainer Stiefelhagen (ECCV (39), 2024)

HybridFormer: Bridging Local and Global Spatio-Temporal Dynamics for Efficient Skeleton-Based Action Recognition. - Zeyun Zhong; Tianrui Li 008; Manuel Martin; Mickael Cormier; Chengzhi Wu; Frederik Diederichs; Juergen Beyerer (ECCV Workshops (13), 2024)

Rethinking Attention Module Design for Point Cloud Analysis. - Chengzhi Wu; Kaige Wang; Zeyun Zhong; Hao Fu; Junwei Zheng; Jiaming Zhang; Julius Pfrommer; Jürgen Beyerer (ICPR (26), 2024)

Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach. - Chengzhi Wu; Julius Pfrommer; Mingyuan Zhou; Jürgen Beyerer (IEEE Trans. Multim., 2024)

SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity. - Chengzhi Wu; Yuxin Wan; Hao Fu; Julius Pfrommer; Zeyun Zhong; Junwei Zheng; Jiaming Zhang; Jürgen Beyerer (CVPR, 2025)

Attention-Based Point Cloud Sampling. - Chengzhi Wu (2025)

6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly. - Chengzhi Wu; Hao Fu; Jan-Philipp Kaiser; Erik Tabuchi Barczak; Julius Pfrommer; Gisela Lanza; Michael Heizmann; Jürgen Beyerer (CoRR, 2025)