πŸ‘¨β€πŸ« About me

I am Yuzhu Ji, an Associate Professor and master's supervisor at the School of Computer Science and Technology, Guangdong University of Technology (GDUT), supported by GDUT's Young Hundred Talents Program (Tier A), and a Senior Member of IEEE. I received my Ph.D. from Harbin Institute of Technology in 2019, began postdoctoral research at the School of Computer Science and Engineering, Nanyang Technological University, Singapore, in 2020, and joined GDUT in 2022.

My research interests include computer vision, video analysis and synthesis, human motion transfer, object pose estimation, salient object detection, and medical image segmentation.

I have published over 40 papers in leading journals and conferences, including IEEE TNNLS, TMM, TCYB, Information Sciences, KDD, IJCAI, and ECAI, and have filed multiple invention patent applications.

I lead four national and provincial/ministerial research projects and participate in one Key R&D Program project supported by the Ministry of Science and Technology and one provincial/ministerial project.

Young Editorial Board Member, Intelligent Robotics; Program Committee Member, BIBM 2026; Program Committee Member, PRICAI 2027.

Member, China Computer Federation (CCF); Member, China Society of Image and Graphics (CSIG); Council Member, Guangzhou Computer Society.

Human-centric multimodal video analysis & synthesis6D object pose estimationVisual saliency reasoning & groundingMedical image segmentationEmbodied AI

πŸ† Highlights & News

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  • πŸŽ‰ One paper was accepted by IEEE TCSVT (CCF-B).
  • πŸŽ‰ One paper was accepted by BIBM 2026 (CCF-B). Congratulations to ιΊ¦ε‡―ηΏ” and δ½™ε˜‰η₯Ί!
  • πŸŽ‰ One paper was accepted by ICASSP 2026 (CCF-B). Congratulations to Qiushujie!
  • πŸŽ‰ Our undergraduate team won the Third Prize at the national level in the natural science paper track of the Challenge Cup competition. Many thanks for the students’ hard work, and congratulations to the team!

πŸ“ Selected Publications

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TNNLS2025

Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering

Yiqun Zhang, Sen Feng, Pengkai Wang, Zexi Tan, Xiaopeng Luo, Yuzhu Ji, Rong Zou, Yiu-Ming Cheung

IEEE Trans. Neural Networks Learn. Syst.

Details β†’
Cite

Yiqun Zhang, Sen Feng, Pengkai Wang, Zexi Tan, Xiaopeng Luo, Yuzhu Ji, Rong Zou, Yiu-Ming Cheung. Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering. IEEE Trans. Neural Networks Learn. Syst., 36(9), 16049–16061, 2025.

IJCAI2025

SeqPose: An End-to-End Framework to Unify Single-frame and Video-based RGB Category-Level Pose Estimation

Yuzhu Ji, Mingshan Sun, Jianyang Shi, Xiaoke Jiang, Yiqun Zhang, Haijun Zhang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2025, Montreal, Canada, August 16-22, 2025

Paper β†—Details β†’
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Yuzhu Ji, Mingshan Sun, Jianyang Shi, Xiaoke Jiang, Yiqun Zhang, Haijun Zhang. SeqPose: An End-to-End Framework to Unify Single-frame and Video-based RGB Category-Level Pose Estimation. Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2025, Montreal, Canada, August 16-22, 2025, 1224–1232, 2025.

KDD2024

QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering

Junyang Chen, Yuzhu Ji, Rong Zou, Yiqun Zhang, Yiu-ming Cheung

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024

Code β†—Abstract β†’
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Junyang Chen, Yuzhu Ji, Rong Zou, Yiqun Zhang, Yiu-ming Cheung. QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024, 297–306, 2024.

TCE2025

SMACNet: A Unified Framework for One-Shot Talking Head Synthesis via Subtle Motion and Appearance Compensation

Yuzhu Ji, Wei Hu, Guoji Gan, Zhiquan Long, Yiqun Zhang, An Zeng, Haijun Zhang

IEEE Trans. Consum. Electron.

Paper β†—Details β†’
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Yuzhu Ji, Wei Hu, Guoji Gan, Zhiquan Long, Yiqun Zhang, An Zeng, Haijun Zhang. SMACNet: A Unified Framework for One-Shot Talking Head Synthesis via Subtle Motion and Appearance Compensation. IEEE Trans. Consum. Electron., 1-13, Early Access, 2025.

TETCI2025

Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection

Yiqun Zhang, Zhanpei Huang, Mingjie Zhao, Chuyao Zhang, Yang Lu, Yuzhu Ji, Fangqing Gu, An Zeng

IEEE Transactions on Emerging Topics in Computational Intelligence

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Yiqun Zhang, Zhanpei Huang, Mingjie Zhao, Chuyao Zhang, Yang Lu, Yuzhu Ji, Fangqing Gu, An Zeng. Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection. IEEE Transactions on Emerging Topics in Computational Intelligence, Early Access, 2025.

ECAI2024

CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-Organ Segmentation

Yuzhu Ji, Mingshan Sun, Yiqun Zhang, Haijun Zhang

ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024)

Project β†—Abstract β†’
Cite

Yuzhu Ji, Mingshan Sun, Yiqun Zhang, Haijun Zhang. CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-Organ Segmentation. ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), 392, 153–160, 2024.

🀝 Academic Service

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Reviewer for IEEE TPAMI, IEEE TNNLS, IEEE TMM, IEEE TCE, IEEE TETCI, Pattern Recognition, Information Sciences, Neural Networks, Journal of Industrial Information Integration, Neurocomputing.

Conference reviewing includes CVPR, ICCV, ECCV, AAAI, ACM MM, ECAI.