2026 Hao Zhang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	73	1574	1527	53	48	251	23938

Research.com Recognitions

2025 - Research.com Computer Science in Canada Leader Award
2023 - Research.com Computer Science in Canada Leader Award
2022 - Research.com Computer Science in Canada Leader Award

Overview

Hao Zhang is affiliated with Simon Fraser University in Canada and has an extensive research record in engineering and computer science. Their work spans multiple subfields and topics, contributing notably to areas such as computer vision, computational mechanics, and additive manufacturing.

Their research output includes a significant number of papers, with topics covering 3D shape modeling and analysis, advanced vision and imaging, as well as manufacturing process optimization and 3D printing technologies. The main fields of study where Hao Zhang has published are:

Engineering
Computer Science

Within these, they have been active in several subfields:

Computer Vision and Pattern Recognition
Computational Mechanics
Industrial and Manufacturing Engineering
Control and Systems Engineering
Computer Graphics and Computer-Aided Design

The principal topics addressed by their research include:

3D Shape Modeling and Analysis
Advanced Vision and Imaging
Computer Graphics and Visualization Techniques
Additive Manufacturing and 3D Printing Technologies
3D Surveying and Cultural Heritage
Advanced Image Processing Techniques
Manufacturing Process and Optimization

Hao Zhang has published frequently in venues such as:

arXiv (Cornell University)
ACM Transactions on Graphics
SSRN Electronic Journal
Journal of Physics Conference Series
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Some recent papers include:

Synergistic effect of microwave 3D print and transglutaminase on the self-gelation of surimi during printing (2020), published in Innovative Food Science & Emerging Technologies
TMSO-Net: Texture adaptive multi-scale observation for light field image depth estimation (2022), published in Journal of Visual Communication and Image Representation
A learning style classification approach based on deep belief network for large-scale online education (2020), published in Journal of Cloud Computing Advances Systems and Applications
Compressive Strength Assessment of 3D Printing Infill Patterns (2022), published in Procedia CIRP
Neural dual contouring (2022), published in ACM Transactions on Graphics

Collaboration has been an important aspect of Hao Zhang's work, with frequent coauthors including:

Hui Huang
Ali Mahdavi-Amiri
Ruizhen Hu
Kai Xu
Zhiqin Chen

Best Publications

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

Zili Yi;Hao Zhang;Ping Tan;Minglun Gong

2162
Citations
Automatic partitioning of full-motion video

HongJiang Zhang;Atreyi Kankanhalli;Stephen W. Smoliar

2132
Citations
Learning Implicit Fields for Generative Shape Modeling

Zhiqin Chen;Hao Zhang

1505
Citations
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition

Zhicheng Yan;Hao Zhang;Robinson Piramuthu;Vignesh Jagadeesh

997
Citations
A Survey on Shape Correspondence

Oliver van Kaick;Hao Zhang;Ghassan Hamarneh;Daniel Cohen-Or

808
Citations
Consolidation of unorganized point clouds for surface reconstruction

Hui Huang;Dan Li;Hao Zhang;Uri Ascher

540
Citations
Edge-aware point set resampling

Hui Huang;Shihao Wu;Minglun Gong;Daniel Cohen-Or

442
Citations
Point Cloud Skeletons via Laplacian Based Contraction

Junjie Cao;Andrea Tagliasacchi;Matt Olson;Hao Zhang

377
Citations
Curve skeleton extraction from incomplete point cloud

Andrea Tagliasacchi;Hao Zhang;Daniel Cohen-Or

366
Citations
GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server

Henggang Cui;Hao Zhang;Gregory R. Ganger;Phillip B. Gibbons

360
Citations
Graph2Plan: learning floorplan generation from layout graphs

Ruizhen Hu;Zeyu Huang;Yuhan Tang;Oliver Van Kaick

352
Citations
L1-medial skeleton of point cloud

Hui Huang;Shihao Wu;Daniel Cohen-Or;Minglun Gong

329
Citations
Automatic reconstruction of tree skeletal structures from point clouds

Yotam Livny;Feilong Yan;Matt Olson;Baoquan Chen

326
Citations
GRASS: generative recursive autoencoders for shape structures

Jun Li;Kai Xu;Siddhartha Chaudhuri;Ersin Yumer

320
Citations
Segmentation of 3D meshes through spectral clustering

Rong Liu;Hao Zhang

299
Citations
Automatic Photo Adjustment Using Deep Neural Networks

Zhicheng Yan;Hao Zhang;Baoyuan Wang;Sylvain Paris

297
Citations
Active co-analysis of a set of shapes

Yunhai Wang;Shmulik Asafi;Oliver van Kaick;Hao Zhang

289
Citations
BSP-Net: Generating Compact Meshes via Binary Space Partitioning

Zhiqin Chen;Andrea Tagliasacchi;Hao Zhang

288
Citations
Mean Curvature Skeletons

Andrea Tagliasacchi;Ibraheem Alhashim;Matt Olson;Hao Zhang

281
Citations
Unsupervised co-segmentation of a set of shapes via descriptor-space spectral clustering

Oana Sidi;Oliver van Kaick;Yanir Kleiman;Hao Zhang

281
Citations
Poseidon: an efficient communication architecture for distributed deep learning on GPU clusters

Hao Zhang;Zeyu Zheng;Shizhen Xu;Wei Dai

280
Citations

Frequent Co-Authors

Daniel Cohen-Or Tel Aviv University

Kai Xu National University of Defense Technology

Hui Huang Shenzhen University

Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence

Baoquan Chen Peking University

Ariel Shamir Reichman University

Minglun Gong University of Guelph

Xiaodan Liang Sun Yat-sen University

Andrea Tagliasacchi Simon Fraser University

Zhiting Hu University of California, San Diego

External Links

Personal website of Hao Zhang Google Scholar page

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