J
Jian Sun
Researcher at Xi'an Jiaotong University
Publications - 394
Citations - 356427
Jian Sun is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Computer science & Object detection. The author has an hindex of 109, co-authored 360 publications receiving 239387 citations. Previous affiliations of Jian Sun include French Institute for Research in Computer Science and Automation & Tsinghua University.
Papers
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Journal ArticleDOI
Structural insight into RNA hairpin folding intermediates.
Gregory R. Bowman,Xuhui Huang,Yuan Yao,Jian Sun,Gunnar E. Carlsson,Leonidas J. Guibas,Vijay S. Pande +6 more
TL;DR: This work studies the folding of a small tetraloop hairpin using a serial version of replica exchange molecular dynamics on a distributed computing environment and finds that folding is not simply the reverse of high-temperature unfolding.
Journal ArticleDOI
A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification
Haixia Bi,Jian Sun,Zongben Xu +2 more
TL;DR: A graph-based semisupervised deep learning model for PolSAR image classification that enforces the category label constraints on the human-labeled pixels and encourages class label smoothness and the alignment of class label boundaries with the image edges.
Journal ArticleDOI
Computing geometry-aware handle and tunnel loops in 3D models
TL;DR: The algorithm is a novel application of the concepts from topological persistence introduced recently in computational topology by computing topologically correct loops that are also geometrically relevant.
Journal ArticleDOI
Optimal Mass Transport for Shape Matching and Comparison
TL;DR: This work proposes to compose the conformal map with the optimal mass transport map to get the unique area-preserving map, which is intrinsic to the Riemannian metric, unique, and diffeomorphic, and is validated by numerous experiments and comparisons with prior approaches.
Proceedings ArticleDOI
Spherical Space Domain Adaptation With Robust Pseudo-Label Loss
Xiang Gu,Jian Sun,Zongben Xu +2 more
TL;DR: A novel adversarial DA approach completely defined in spherical feature space is proposed, in which spherical classifier for label prediction and spherical domain discriminator for discriminating domain labels are defined and a robust pseudo-label loss is developed.