Wenjie Yin

A researcher specializing in learning and robotics, with a focus on generative AI and intelligent agents. Passionate about leveraging AI to solve real-world challenges in game, robotics, assistive technologies, and autonomous systems.

Wenjie Yin was a postdoctoral fellow and doctoral student at the Division of Robotics, Perception and Learning at KTH Royal Institute of Technology, where he worked on generative models and multimodal representation learning. His postdoctoral advisor is Prof. Danica Kragic Jensfelt. He obtained his Ph.D. degree in Computer Science at KTH Royal Institute of Technology, supervised by Prof. Mårten Björkman. During his PhD, he visited the National Institute of Informatics (NII) and had an internship at the Microsoft Research Asia Lab. Prior to that, he obtained M.S. in Systems, Control and Robotics from KTH and a B.S. in Automation from Zhejiang University.

Research Interest

• Human Agent Interaction (Human-robot interaction, Game Agent, Assistant Agent)

• Deep Learning (Generative models, Multimedia, Lightweight, Real-time, Computer Vision)

Previous Work (Selected)

Projects

• D2Smell (Digitizing Smell), ERC Synergy Grant, from natural statistics of olfactory perceptual space to digital transmission of odors.

• EnTimeMent (ENtrainment & synchronization at multiple TIME scales in the MENTal foundations of expressive gestures), supported by EU Horizon 2020 FET PROACTIVE project.

• Brain-Computer Interfaces (BCI) project, supported by the ERC (European Research Council)

• Autonomous interactive TCM physical examination robot, supported by National Natural Science Foundation of China (No. 61876015)

Hobbies

Teaching

• DD2421: Machine Learning, KTH

• DD2423: Image Analysis and Computer Vision, KTH

• Java Programming, ZJU

Supervision

• Dominykas Jogela, Group Dance Generation with Generative Models, KTH

• Qingyuan Yao, Lyric- and Music-driven Dance Generation, NII

• Shihang Zhou, Distributed Object Detection and Tracking, KTH

• Yang Gao, Long-Term Pose-Based Trajectory Prediction for Pedestrians, KTH

• Jia Fu, Multimodal Machine Learning in Human Motion Analysis, KTH

Academic Service

• Program Committee (PC) Member for the first Multimodal Representation Learning Workshop at ICLR

• Reviewer for ICRA, ACM-MM, ECCV, NeurIPS, IROS, RA-L, IJHCI, TMM

Other Experience

• Nov 2021 – Feb 2023 as an AI/CV Consultant in Carieco AB

• Jan 2019 – Jun 2019 work on Master Thesis in Scania Autonomous Vehicles Group

• Jun 2018 – Sep 2018 as a Research Engineer at Fudan University Intelligent Robot Research Institute

• Jun 2017 – Aug 2017 as a Development Engineer Intern at Seer Robotics

Honors (Selected)

• Winter Conference on Applications of Computer Vision (WACV) Award Finalists

• Scholarship of KTH awarded to students at Top 1%

• Continuously three years awarded with Scholarship at Zhejiang University (Top 10)

• American College Students Mathematical Contest (MCM/ICM)(Honorable Mention)

• The Supcon Scholarship for outstanding students at Zhejiang University (Top 10)

• The Supcon Process Engineering Competition (Successful-Competition)

• The Phoenix Scholarship for outstanding students at Zhejiang University (Top 10%)

• The Supcon Robotics Competition (Third-Class Prize Winner)