Wenjie Yin CV

About me

I am a postdoctoral fellow at the Division of Robotics, Perception and Learning at KTH Royal Institute of Technology, where I work on generative models and multimodal representation learning. My postdoctoral advisor is Danica Kragic. I obtained my Ph.D. degree in Computer Science at KTH Royal Institute of Technology, supervised by Mårten Björkman. During my PhD, I visited the National Institute of Informatics (NII) and had an internship at MSRA. Prior to that, I obtained my M.S. in Systems, Control and Robotics from KTH Royal Institute of Technology and a B.S. in Automation from Zhejiang University.

Research Interests

Human Motion Analysis: Motion understanding, Dance style transfer, Dance choreography

Human Agent Interaction: Human-human/robot interaction, group behaviors, Multimedia

Deep Learning: Generative models, Graph neural networks, Foundation Models

Selected Publications

  Human Motion Analysis

LM2D: Lyrics- and Music-Driven Dance Synthesis Wenjie Yin*, Xuejiao Zhao*, Yi Yu, Hang Yin, Danica Kragic, Marten Bjorkman (under review) [PDF] [BibTex] [VIDEO]

Scalable Motion Style Transfer with Constrained Diffusion Generation Wenjie Yin, Yi Yu, Hang Yin, Danica Kragic, Marten Bjorkman The 38th Annual AAAI Conference on Artificial Intelligence (AAAI2024) [PDF] [BibTex] [VIDEO]

Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models Wenjie Yin, Ruibo Tu, Hang Yin, Danica Kragic, Hedvig Kjellström, Marten Bjorkman The 32th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) [PDF] [BibTex] [VIDEO]

Multimodal Dance Style Transfer Wenjie Yin, Yi Yu, Hang Yin, Kim Baraka, Danica Kragic, Marten Bjorkman Journal of Machine Vision and Applications (MVAP) [PDF] [BibTex] [VIDEO]

Graph-based Normalizing Flow for Human Motion Generation and Reconstruction Wenjie Yin, Hang Yin, Danica Kragic, Marten Bjorkman The 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) [PDF] [BibTex]

Group behavior recognition using attention-and graph-based neural networks Fangkai Yang*, Wenjie Yin*, Tetsunari Inamura, Marten Bjorkman, Christopher Peters The 24th European Conference on Artificial Intelligence (ECAI 2020) [PDF] [BibTex]

  Human Agent Interaction

Improving EEG-based Motor Execution Classification for Robot Control Sumeyra U. Demir Kanik, Wenjie Yin, Arzu Guneysu Ozgur, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic The 24th International Conference on Human-Computer Interaction (HCII) [PDF] [BibTex]

Human-centered collaborative robots with deep reinforcement learning Ali Ghadirzadeh, Xi Chen, Wenjie Yin, Zhengrong Yi, Mårten Björkman, Danica Kragic IEEE Robotics and Automation Letters (RAL) [PDF] [BibTex]

Impact of trajectory generation methods on viewer perception of robot approaching group behaviors Fangkai Yang*, Wenjie Yin*, Mårten Björkman, Christopher Peters The 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) [PDF] [BibTex]

Accurate targeting in robot-assisted TCM pulse diagnosis using adaptive sensor fusion Jingjing Luo, Chun Ouyang, Xiaokai Nie, Wenjie Yin, Hong Lu, Yuzhu Guo Periodicals of Engineering and Natural Sciences. [PDF] [BibTex]

  Other Topics

Diffusion-based Time Series Data Imputation for Microsoft 365 Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Marten Bjorkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023) [PDF] [BibTex]

Automated Underwater Pipeline Damage Detection using Neural Nets Shijia Jun*, Wenjie Yin*, Yipai Du*, John Folkesson ICRA 2019 Workshop on Underwater Robotics Perception [PDF] [BibTex]

Services

Supervised students

Dominykas Jogela - Group Dance Generation with Generative Models [2023.11-Present]

Qingyuan Yao - Lyric- and Music-driven Dance Generation [2023.03-2023.08]

Shihang Zhou - Distributed Object Detection and Tracking [2022.09-2023.06]

Yang Gao - Long-Term Pose-Based Trajectory Prediction for Pedestrians [2021.12-2023.12]

Jia Fu - Multimodal Machine Learning in Human Motion Analysis [2017.09-2022.09]

Teaching

  KTH Royal Institute of Technology

DD2421: Machine Learning (Fall 2019 – Autumn 2023)

DD2423: Image Analysis and Computer Vision (Fall 2018 – Autumn 2023)

  Zhejiang University

Java Programming (Fall 2016)

Hobbies

Fitness (Power Lifting)

Cat (2 Years Old)

Drawing (My Supervisor)