Multiresolutional similarity assessment and retrieval of solid models based on DBMS. - W. Gao; Shuming Gao; Yusheng Liu; Jing Bai 004; B. K. Hu (Comput. Aided Des., 2006)

Multi-mode Solid Model Retrieval Based on Partial Matching. - Jing Bai 004; Yusheng Liu; Shuming Gao (CAD/Graphics, 2007)

Semantic-based partial retrieval of CAD models for design reuse. - Jing Bai 004; Shuming Gao; Weihua Tang; Yusheng Liu; Song Guo (Symposium on Solid and Physical Modeling, 2009)

Design reuse oriented partial retrieval of CAD models. - Jing Bai 004; Shuming Gao; Weihua Tang; Yusheng Liu; Song Guo (Comput. Aided Des., 2010)

A flexible assembly retrieval approach for model reuse. - Xiang Chen; Shuming Gao; Song Guo; Jing Bai 004 (Comput. Aided Des., 2012)

Constructive generation of the medial axis for solid models. - Housheng Zhu; Yusheng Liu; Jing Bai 004; Xiaoping Ye (Comput. Aided Des., 2015)

Deep Learning 3D Shape Surfaces Using Geometry Images. - Ayan Sinha; Jing Bai 004; Karthik Ramani (ECCV (6), 2016)

An ontology-based semantic retrieval approach for heterogeneous 3D CAD models. - Fei-wei Qin; Shuming Gao; Xiaoling Yang; Ming Li 017; Jing Bai 004 (Adv. Eng. Informatics, 2016)

Design pattern modeling and extraction for CAD models. - Jing Bai 004; Haonan Luo; Fei-wei Qin (Adv. Eng. Softw., 2016)

WireFab: Mix-Dimensional Modeling and Fabrication for 3D Mesh Models. - Min Liu 018; Yunbo Zhang; Jing Bai 004; Yuanzhi Cao; Jeffrey M. Alperovich; Karthik Ramani (CHI, 2017)

Ellipse Detection on Images Using Conic Power of Two Points. - Min Liu 018; Bodi Yuan; Jing Bai 004 (BMVC, 2018)

Feature-attention module for context-aware image-to-image translation. - Jing Bai 004; Ran Chen; Min Liu 018 (Vis. Comput., 2020)

3D CAD model retrieval based on sketch and unsupervised variational autoencoder. - Feiwei Qin; Shi Qiu; Shuming Gao; Jing Bai 004 (Adv. Eng. Informatics, 2022)

HDA2L: Hierarchical Domain-Augmented Adaptive Learning for sketch-based 3D shape retrieval. - Shaojin Bai; Jing Bai 004 (Knowl. Based Syst., 2023)

FGPNet: A weakly supervised fine-grained 3D point clouds classification network. - Huihui Shao; Jing Bai 004; Rusong Wu; Jinzhe Jiang; Hongbo Liang (Pattern Recognit., 2023)

PAGML: Precise Alignment Guided Metric Learning for sketch-based 3D shape retrieval. - Shaojin Bai; Jing Bai 004; Hao Xu; Jiwen Tuo; Min Liu 018 (Image Vis. Comput., 2023)

SPS-LCNN: A Significant Point Sampling-based Lightweight Convolutional Neural Network for point cloud processing. - Haojun Xu; Jing Bai 004 (Appl. Soft Comput., 2023)

D2GL: Dual-level dual-scale graph learning for sketch-based 3D shape retrieval. - Wenjing Li; Jing Bai 004; Hu Zheng (Pattern Recognit., 2024)

Corrigendum to "FGPNet: A weakly supervised fine-grained 3D point clouds classification network" [Pattern Recognition 139 (2023) 109509]. - Huihui Shao; Jing Bai 004; Rusong Wu; Jinzhe Jiang; Hongbo Liang (Pattern Recognit., 2024)

DCNet: exploring fine-grained vision classification for 3D point clouds. - Rusong Wu; Jing Bai 004; Wenjing Li; Jinzhe Jiang (Vis. Comput., 2024)

V2MLP: an accurate and simple multi-view MLP network for fine-grained 3D shape recognition. - Liang Zheng; Jing Bai 004; Shaojin Bai; Wenjing Li; Bin Peng; Tao Zhou (Vis. Comput., 2024)

Glance and Gaze: Progressive end-to-end deep learning for fine-grained 3D shape classification. - Xiangyu Ma; Jing Bai 004; Jinzhe Jiang; Bin Peng (CSCWD, 2025)

Multi-View Text Enhancement for Parameter-Free Zero-Shot 3D Model Classification. - Shuting Xi; Jing Bai 004; Hu Zheng (CSCWD, 2025)

FG3DFormer: Fine-Grained 3D Shape Classification Based on Vision Transformer. - Xiangyu Ma; Jing Bai 004; Jinzhe Jiang; Bin Peng (ICASSP, 2025)

DKD2L: Dual Knowledge Distillation Dynamic Learning for sketch-based 3D shape retrieval. - Yawen Su; Jing Bai 004; Gan Lin (ICASSP, 2025)

MDT-Net: A Mask Decoder Tuning Strategy for CLIP-Based Zero-Shot 3D Classification. - Hao Yan; Jing Bai 004 (MMM (2), 2025)

Frontiers and developments of data augmentation for image: From unlearnable to learnable. - Gan Lin; Jinzhe Jiang; Jing Bai 004; Yawen Su; Zenghui Su; Hongshuo Liu (Inf. Fusion, 2025)

MCNet: A multi-level consistency network for 3D point cloud self-supervised learning. - Hongshuo Liu; Jing Bai 004; Gan Lin (Inf. Fusion, 2025)

SKD-SBSR: Structural Knowledge Distillation for Sketch-Based 3D Shape Retrieval. - Yawen Su; Wenjing Li; Jing Bai 004; Gan Lin (Knowl. Based Syst., 2025)

DLS-HCAN: Duplex Label Smoothing Based Hierarchical Context-Aware Network for Fine-Grained 3D Shape Classification. - Shaojin Bai; Liang Zheng; Jing Bai 004; Xiangyu Ma (IEEE Trans. Multim., 2025)

$ hbox {C}^2$DFL: cross-view cross-layer discriminative feature learning for fine-grained 3D shape classification. - Jinzhe Jiang; Jing Bai 004; Xiangyu Ma (Neural Comput. Appl., 2025)

PVSTrans: Patch-view-shape progressive interaction transformer for 3D shape recognition. - Xiangyu Ma; Jing Bai 004; Zenghui Su; Yubin Wang (Inf. Process. Manag., 2026)