Haoyu Chen | University of Oulu
Office: TS321| Email: chen.haoyu@oulu.fi

I am now a Tenure-track Assistant Professor at CMVS, University of Oulu. I am also a co-founder of the AI startup: Aitomore and a restaurant Aitofresh. Before that, I conducted Postdoc research in CMVS, University of Oulu, with the project of in Emotion AI (Academy Finland project) and trustworthy AI (Infotech project). I received my Ph.D. from University of Oulu , Finland, where I was advised by Academy Professor Guoying Zhao. During my PhD study, I visited CEL, TUDelft, the Netherlands. Prior to that, I received the B.E. degree from China University of Geosciences, China, and Master degree from University of Oulu, Finland.

My research interests include Machine Learning, Human Behaviour Analysis, Emotion AI and Adversarial Learning.

I strongly believe we are here, on this planet, time, and realm to experience, learn and grow, which gives me a huge passion about developing myself in a lifetime. Aside from research, I also find huge interest in street dance (Breakin), snowboarding, basketball, Twitch streaming, reading, writing blogs, keeping daily dairy, and Lonkero.

Attention: We are recruiting self-motivated PostDoc and PhD candidates to join my research team, focusing on Hybrid Intelligence. Please email me with your CV and motivation letter if you are interested in self-funded studying or researching.

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News


Selected Publications

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Towards Robust 3D Pose Transfer with Adversarial Learning
Haoyu Chen, Hao Tang, Ehsan Adeli, Guoying Zhao. Computer Vision and Pattern Recognition(CVPR) , 2024.

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LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer
Haoyu Chen, Hao Tang, Radu Timofte, Luc Van Gool, Guoying Zhao. Neural Information Processing Systems (NeurIPS) , 2023.

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SMG: A Micro-Gesture Dataset Towards Spontaneous Body Gestures for Emotional Stress State Analysis
Haoyu Chen, Henglin Shi, Xin Liu, Xiaobai Li, Guoying Zhao. International Journal on Computer Vision (IJCV), 2023.
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Geometry-Contrastive Transformer for Generalized 3D Pose Transfer​
Haoyu Chen, Hao Tang, Zitong Yu, Nicu Sebe, Guoying Zhao​. AAAI Conference on Artificial Intelligence (AAAI) , 2022.
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AniFormer: Data-driven 3D Animation with Transformer.
Haoyu Chen, Hao Tang, Nicu Sebe, Guoying Zhao. The British Machine Vision Conference (BMVC), 2021.
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Intrinsic-extrinsic preserved gans for unsupervised 3D pose transfer
Haoyu Chen, Hao Tang, Henglin Shi, Wei Peng, Nicu Sebe, Guoying Zhao. IEEE International Conference on Computer Vision (ICCV), 2021.
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iMiGUE: An Identity-Free Video Dataset for Micro-Gesture Understanding and Emotion Analysis
Xin Liu, Henglin Shi, Haoyu Chen, Zitong Yu, Xiaobai Li, Guoying Zhao. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
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Temporal hierarchical dictionary guided decoding for online gesture segmentation and recognition
Haoyu Chen, Xin Liu, Jingang Shi, Guoying Zhao. IEEE Transactions on Image Processing, 2020.
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Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition
Zitong Yu, Benjia Zhou, Jun Wan, Pichao Wang, Haoyu Chen, Xin Liu, Stan Z Li, Guoying Zhao. IEEE Transactions on Image Processing (TIP), 2020.
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Learning graph convolutional network for skeleton-based human action recognition by neural searching
Wei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
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3D skeletal gesture recognition via hidden states exploration
Xin Liu, Henglin Shi, Xiaopeng Hong, Haoyu Chen, Dacheng Tao, Guoying Zhao. IEEE Transactions on Image Processing, 2020.


Academic Activities

  • Organizing tutorial about Human-AI mutual promotion for emotion and cognition understanding(website here), June 10-14 2024, Malmö, Sweden. HHAI 2024).
  • Giving various talks on such as ITEE TENURES ON STAGE event, Brown Bag Seminar, University of Oulu.
  • Serving as co-editors on the Frontiers in Physics, British Journal of Educational Technology,
  • Organizing the 1st/2nd Workshop & Challenge on Micro-gesture Analysis for Hidden Emotion Understanding (MiGA) associated with IJCAI 2023/ IJCAI 2024.
  • Providing data support to Finnish Center for Artificial Intelligence Special Interest Group (FCAI-SIG)-Computer Vision.
  • Invited as Reviewer for conferences, including CVPR2023, AAAI2023, ICASSP2023, ECCV2022, ICME2022, etc.
  • Invited as Reviewer for journals, including IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Pattern Recognition (PR), Machine Vision and Applications, Multimedia Systems, British Journal of Educational Technology, Advanced Engineering Informatics, etc.

Supervision

  • Postdoctoral researcher: Dr. Fang Kang.
  • Ph.D. candidates: Miss Yueyi Yang, Mr. Alexander Vedernikov (co-supervising).
  • Master students: Ms Yuting Xie, Mr. Mahdi Mehrpour Moghadam.
  • Research interns: Mr. Abdurrehman Syed, Mr. Osama Shahbaz.
  • Follow-up group chairing: Miss Huong Dang, Miss Huali Xu.
  • Bachelor students: Mr. Toivo Xiong, Mr. Severi Raunama, Mr. Juuso Alatalo.

Teaching Experiences

  • Lecturer, Computer Graphics, Univerisity of Oulu -- Spring 2025 (upcoming)
  • Lecturer, Affective Computing, Univerisity of Oulu -- Fall 2024
  • Lecturer, Computer Graphics, Univerisity of Oulu -- Spring 2024
  • Lecturer, Computer Graphics, Univerisity of Oulu -- Spring 2023
  • Teaching Assistant, Computer Graphics, Univerisity of Oulu -- Spring 2022
  • Teaching Assistant, Computer Graphics, Univerisity of Oulu -- Spring 2020
  • Teaching Assistant, Affective computing, Univerisity of Oulu -- Fall 2018