“天地有正气，杂然赋流形 – 文天祥”
I am a Ph.D. student affiliated with Multimedia and Human Understanding Group (MHUG) at University of Trento, Italy, advised by Prof. Nicu Sebe. My research lies in the intersection of machine learning and differential geometry. Specifically, my current focuses are geometric deep learning and theories of matrix manifolds.
Before my Ph.D. studies, I received a B.A. degree in logistics management from Shandong University, Jinan, China, and an M.S. degree in computer science and technology from Jiangnan University, Wuxi, China, under the supervision of Prof. Xiao-Jun Wu.
Currently, I co-supervise several master students with Lect. Rui Wang. I am always looking for collaborations. If you’re interested in geometry-aware machine learning, email me.
🔥 News
- 2024.04: 🎉 One paper on Grassmannian self-attention was accepted to IJCAI 2024. Congrats Rui and Chen!
- 2024.03: 🎉 Our CVPR 2024 paper on Riemannian classifiers was selected as poster to VALSE 2024.
- 2024.03: 🎉 One paper on SPD deep metric learning was early accessed in TNNLS.
- 2024.02: 🎉 One paper on Riemannian classifiers on SPD manifolds was accepted to CVPR 2024.
- 2024.01: 🎉 One paper on Riemannian batch normalization on general Lie groups was accepted to ICLR 2024.
📝 Selected Publications
(† denotes the corresponding author)
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IJCAI 2024Rui Wang, Chen Hu, Ziheng Chen†, Xiao-Jun Wu†, Xiaoning Song, A Grassmannian Manifold Self-Attention Network for Signal Classification. [Code] TNNLS 2024Rui Wang, Xiao-Jun Wu, Ziheng Chen, Cong Hu, Josef Kittler, SPD Manifold Deep Metric Learning for Image Set Classification. [PDF] [Code]-
CVPR 2024Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiaojun Wu, Nicu Sebe, Riemannian Multinomial Logistics Regression for SPD Neural Networks. [PDF] [Code] [Slides] [Poster] ICLR 2024Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe, A Lie Group Approach to Riemannian Batch Normalization. [PDF] [Code] [Slides] [Poster] [Video]AAAI 2023Ziheng Chen, Tianyang Xu, Xiao-Jun Wu, Rui Wang, Zhiwu Huang, Josef Kittler, Riemannian Local Mechanism for SPD Neural Networks. [PDF] [Code] [Slides] [Poster]IEEE TBD 2021Ziheng Chen, Tianyang Xu, Xiao-Jun Wu, Rui Wang, Josef Kittler, Hybrid Riemannian Graph-Embedding Metric Learning for Image Set Classification. [PDF] [Code]
🎖 Honors and Awards
- 2023.12, Excellent Master’s Thesis of Jiangsu Association of Artificial Intelligence (江苏省人工智能学会优秀硕士论文)
💬 Talks and Short Courses
- 2024.03, Naïve Riemannian Geometry: A One Hour Tour. Jiangnan University internal talk (online).
📖 Courses
To obtain basic foundations for my research, I have self-studied several math courses, most of which were done during my master studies:
- Mathematical Analysis I, II, III, Real Analysis, Complex Analysis, Functional Analysis;
- Advanced Algebra I, II, Abstract Algebra I;
- Topology, Differential Geometry, Differential Manifolds, Riemannian Geometry;
- Differential Equations, Convex Optimization, Numerical Optimization…
💻 Personal Channels
Differential Geometry (9k+ viewers) Riemannian Geometry (2k+ viewers)