Professor.Dr.Jing Bai(白静)

Jing Bai, professor and master candidate supervisor, is engaged in the research work in CAD&CG and machine learning and plungesherself into the study of 3D model retrieval and deep learning. In the last five years, she has presided over 2 projects funded by National Natural Science Foundation of China (NSFC), 6 provincial and ministerial scientific research projects and 5 national projects, published more than 40 academic papers in domestic and foreign top journals, such as Computer-Aided Design, Journal of Computer-Aided Design and Computer Graphics, and important international academic conferences like ECCV, including 10 papers retrievableby SCI, 29 papers included in EI, and 1 paper for CCF Tier-A and Tier-B conferences each, and applied for 12 patents for invention.

Jing Bai, professor and master candidate supervisor, In the last five years, she has presided over 2 projects funded by National Natural Science Foundation of China (NSFC), 6 provincial and ministerial scientific research projects and 5 national projects, published more than 40 academic papers in domestic and foreign top journals, such as Computer-Aided Design, Journal of Computer-Aided Design and Computer Graphics, and important international academic conferences like ECCV, including 10 papers retrievableby SCI, 29 papers included in EI, and 1 paper for CCF Tier-A and Tier-B conferences each, and applied for 12 patents for invention.

Zip Code:750021     E-mail: baijing_nun@163.com, baijing@nun.edu.com

Office: Laboratory Building-Image Processing and Pattern Recognition Laboratory (A409)

Address: Ningxia Hui Autonomous Region-Yinchuan City-Xixia District-204 Wenchang North Street- North Minzu University

Research

1 Multi-modal 3D model retrieval(Sketch/Fine-grained)

2 Image-based 3D model Classification(Fine-grained/Zero-shot)

Academic Adjunct

•[1] CCF Senior Member, Member of CADCG Special Committee, Member of CSIG Special Committee, National Patent Office Consulting Technical Expert.

•[2] Correspondence judge of Computer-Aided Design, Journal of Computer-Aided Design and Computer Graphics, China Mechanical Engineering, Journal of Graphics.

•[3] Young and middle-aged talents of the National Ethnic Affairs Commission, "Young Top-notch Talents" National Level Academic and Technical Leader Reserve Candidate of the Ningxia Hui Autonomous Region.

Social Activity

•[19/08/2021] Academic lectures in the field of Image and Graphics --Journal of image and graphics Link

•[22/08/2019-25/08/2019] As the chairman of the organizing committee, successfully held the "CAD&CG 2019".

•[10/07/2019-16/07] Presided over the completion of the national level advanced research class on "Artificial Intelligence and Computer Vision".

•[2018] Presided over the completion of the school-level "artificial intelligence" professional and technical personnel training class

Scientific Research Projects

•[01/2022-12/2025] under research,National Science Foundation Project,"Research on 3D Model Retrieval Method of Hand-drawn Sketches Based on Hierarchical Semantic Embedding Model", Project No:62162001,project department:NSFC.

•[01/2022-12/2024] Project Director, under research,Ningxia National Science Foundation Project,"Research on 3D Model Retrieval Algorithm and Application of Dynamic Hand-drawn Sketches Based on Data Driven", Project No:2022AAC02041,project department:Science and Technology Department of Ningxia Hui Autonomous Region.

•[01/2018-12/2021] Project Director, under research, National Science Foundation Project, "Research on Multimodal Retrieval of Non-rigid 3D Models Based on Deep Learning". Project No.: 61762003, project department: NSFC.

•[05/2019-05/2021] Project Director, under research, key R&D program (Light of the West), "Research on Intelligent Assembly Technology Based on Multi-source Information Fusion". Project No.: 2018QNXZ0024, project department: Science and Technology Department of Ningxia Hui Autonomous Region.

•[08/2018-01/2020] Completed, project funded by Ningxia Natural Science Foundation,"Research on 3D Data Recognition Technology for Multimodal Information Source". Project No.: 2018AAC03124, project department: Science and Technology Department of Ningxia Hui Autonomous Region.

•[01/2012-12/2016] Completed, project of National Science Foundation, "Research on Local Retrieval Technology of 3D CAD Model in Digital Design of New Products",Project No.: 61163016, project department: NSFC.

•[12/2015-12/2017] Completed, Scientific Research Projects of Ningxia Higher Education Institutions-Excellent Young Teachers Cultivation Fund Project, "Research on 3D CAD Model Retrieval Technology Based on Deep Learning". Project No.: NGY2015161, project department: Education Department of Ningxia Hui Autonomous Region.

•[07/2011-04/2014] Completed, Ningxia Natural Science Foundation Project, "Research on 3D CAD Parts Retrieval Technology Based on Combined Classifier". Project No: NZ11143,project department: Science and Technology Department of Ningxia Hui Autonomous Region.

2025

DLS-HCAN: Duplex Label Smoothing Based Hierarchical Context-Aware Network for Fine-grained 3D Shape Classification

Shaojin Bai, Liang Zheng, Jing Bai, Xiangyu Ma

IEEE Transactions on Multimedia, DOI: https://doi.org/10.1109/tmm.2025.3543077. 1区Top

Frontiers and developments of data augmentation for image: From unlearnable to learnable

Gan Lin, JinZhe Jiang, Jing Bai, YaWen Su, ZengHui Su, HongShuo Liu

Information Fusion. 1区Top

SKD-SBSR: Structural Knowledge Distillation for Sketch-Based 3D Shape Retrieval

YaWen Su, Wenjing Li, Jing Bai, Gan Lin

Knowledge-Based Systems. 1区Top

C2DFL: cross-view cross-layer discriminative feature learning for fine-grained 3D shape classification

Jinzhe Jiang, Jing Bai, Xiangyu Ma

Neural Computing and Applications. JCR Q2

2024

D2GL: Dual-level dual-scale graph learning for sketch-based 3D shape retrieval

Wenjing Li, Jing Bai, Hu Zheng

Pattern Recognition 1区Top

V2MLP: an accurate and simple multi-view MLP network for fine-grained 3D shape recognition

Liang Zheng, Jing Bai,Shaojin Bai, Wenjing Li, Bin Peng, Tao Zhou

The Visual Computer, JCR-2

Fine-Grained 3D Shape Classification Based on Cross-View Message Interaction

Xiangyu Ma, Jing Bai,Hu Zheng, Zenghui Su

Journal of Computer-Aided Design & Computer Graphics CCF-A, EI Compendex

Fine-Grained Class-Level Sketch-Based 3D Shape Retrieval Dataset

Hu Zheng,Jing Bai, Yawen Su

Computer Engineering and Applications CCF-B, EI Compendex

Dense control valve parts dataset for industrial object detection

Linyi Wang,Jing Bai, Yanmei Li, Wenjing Li

Optics and Precision Engineering EI Compendex

Representation learning for cad models based on hierarchical mask and multi-scale feature fusion

Zenghui Su, Xiangyu Ma,ing Bai, Gan Lin

Computer Integrated Manufacturing Systems EI Compendex

2023

FGPNet: A weakly supervised fine-grained 3D point clouds classification network

Huihui Shao, Jing Bai, Rusong Wu, Jinzhe Jiang, Hongbo Liang

Pattern Recognition, DOI: https://doi.org/10.1016/j.patcog.2023.109509. 1区Top

SPS-LCNN: A significant point sampling-based lightweight convolutional neural network for point cloud processing

Jing Bai, Haojun Xu

Applied Soft Computing, DOI: https://doi.org/10.1016/j.asoc.2023.110498. 2区Top

HDA2L: Hierarchical Domain-Augmented Adaptive Learning for sketch-based 3D shape retrieval

Shaojin Bai, Jing Bai

Knowledge-based systems(KBS), DOI: https://doi.org/10.1016/j.knosys.2023.110302. 1区Top

DCNet: Exploring Fine-grained Vision Classification for 3D point clouds

Rusong Wu, Jing Bai, Wenjing Li, Jinzhe Jiang

The Visual Computer, JCR-2

An end-to-end Fine-grained Classification Network for 3D Point Clouds

Jing Bai,Huihui Shao, Hui Ji, Rusong Wu

Journal of Computer-Aided Design & Computer Graphics, 1-7 [2023-02-13]. CCF-A

DFG-ZS3D: Discriminative Feature-Guided Zero-Shot Learning of 3D Model Classification

Youfu Fan, Jing Bai, Huihui Shao, Bin Peng

Journal of Computer-Aided Design & Computer Graphics, CCF-A

Deep ensemble learning for diversified 3D model classification

Shaojin Bai, Jing Bai, Qinglong Si, Hui Ji, Tao Yuan

Computer Engineering and Applications, CCF-B

Research on 3D Convolutional Neural Network and Its Application on Video Uderstand

Jing Bai, Zhanyuan Yang, Bin Peng, Wenjing Li

Journal of Electronics & Information Technology, 1-11 [2023-02-13]. CCF-B

Multi-View 3D Model Reconstruction Based on Multi-Level Perception

Jing Bai, Hao Xu

Computer Engineering and Applications, 2023,59(02):232-239. CCF-B

2022

ZS3D-Net: Zero-shot Classification Network for 3D Models

Jing Bai, Tao Yuan, Youfu Fan

Journal of Computer-Aided Design & Computer Graphics,2022,34(7):1118~1126, DOI:10.3724/SP.J.1089.2022.19173. CCF-A

Fine-grained 3D Model Classification Based on Deep Ensemble and Detail Awareness

Jing Bai, Hui Ji, Huihui Shao, Rusong Wu, Feiwei Qin

Journal of Computer-Aided Design & Computer Graphics, 2022,34(10):1580~1589, DOI:10.3724/SP.J.1089.2022.19180. CCF-A

FP-VTON:Attention-Based Feature Preserving Virtual Try-on Network

Zeling Tan, Jing Bai, Ran Chen, Shaomin Zheng, Feiwei Qin

Computer Engineering and Applications, 2022, 58(23):186-196 CCF-B

Adaptive multi-class centers and semi-heterogeneous network for sketch-based 3D model retrieval

Jing Bai, Jiwen Tuo, Shaojin Bai, Zhanyuan Yang

Journal of Graphics, 2022,43(1):36-43, DOI:10.11996/JG.j.2095-302X.2022010036. CCF-C

Medical image segmentation network based on contour enhanced attention module

Cuiyun Li, Jing Bai, Liang Zheng

journal of Graphics,,2022,43(02):273-278. CCF-C

ST-Rec3D: a structure and target-aware 3D reconstruction

Jing Bai, Qingliang Meng, Hao Xu, Youfu Fan, ZhanYuan Yang

journal of Graphics,,2022,43(02):273-278. CCF-C

2021

NL-VTON: A non-local virtual try-on network with feature preserving of body and clothes

ZeLin Tan, Jing Bai, Shao Min Zhang, Fei Wei Qin.

Scientific reports, 2021, 11(1), DOI:10.1038/s41598-021-99406-6 SCI:000706376200018. JCR-1

End-to-End Sketch-3D Model Retrieval with Spatiotemporal Information Joint Embedding

Jing Bai, Wenhui Zhou, Jiwen Tuo, Feiwei Qin

Journal of Computer-Aided Design & Computer Graphics, 2021,33(6):826-836. CCF-A

A Real-Time Semantic Segmentation Approach for Autonomous Driving Scenes

Feiwei Qin, Xile Shen, Yong Peng, Yanli Shao, Wenqiang Yuan, Zhongping Ji, Jing Bai

Journal of Computer-Aided Design & Computer Graphics, 2021,33(7):1026-1037, DOI:10.3724/SP.J.1089.2021.18631. CCF-A