I am an industrial Ph.D. researcher at Bosch Research for Artificial Intelligence, in cooperation with the University of Lübeck, advised by Dr. Alexandru Paul Condurache. Before Bosch Research I received my M.Sc. in Robotics, Systems and Control from ETH Zurich and B.Sc. in Mechanical Engineering from RWTH Aachen University.

During my master’s at ETH Zurich, I worked on LiDAR point cloud upsampling under the supervision of Prof. Dr. Roland Siegwart at Autonomous Systems Lab, resulting in a publication at CVPR 2024 and a perfect thesis score of 6.0/6.0. Earlier, I completed Research Engineer internships at Volkswagen (Vehicle Perception, AR-based data augmentation for semantic segmentation) and BMW (Functional Safety, Monte Carlo risk modeling and large-scale driving data analysis for autonomous driving).

My current research focuses on scene understanding, self-supervised learning, and 3D foundation models for embodied AI systems.

🔍 I am actively looking for Research Scientist positions in Computer Vision and Autonomous Driving, with an expected availability from January 2027. Feel free to reach out at bin-yang@outlook.de.

📰 News

• 🎉 [April 30, 2026] First-authored Paper accepted at ICML 2026 — Collaborative Learning for Semi-Supervised LiDAR Semantic Segmentation
• 🎤 [March, 2026] Presenting FLARES during the poster session on March 9 at WACV 2026 in Tucson, Arizona, USA.
• 🎉 [Feb 21, 2026] First-authored Paper accepted at CVPR 2026 — Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds
• 🎉 [Nov 7, 2025] Co-authored Paper accepted at AAAI 2026 — DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation
• 🎉 [Sep 5, 2025] First-authored Paper accepted at WACV 2026 in the FIRST Round (6.5% of submissions) — FLARES: Fast and Accurate LiDAR Multi-Range Semantic Segmentation