Lianwen Jin
Professor
Director
of Lab of Deep Learning and Vision Computing
School
of Electronics and Information Engineering
South
China University of Technology
Guangzhou,
China
Email:
eelwjin@scut.edu.cn
(primary), Lianwen.jin@gmail.com
(secondary)
Google Scholar: https://scholar.google.com/citations?user=WMUStEUAAAAJ&hl=en&oi=ao
DBLP: https://dblp.org/pid/54/3221.html
[中文版]
Lianwen Jin received the B.S. degree from
the University of Science and Technology of China, Anhui, China, and the Ph.D.
degree from the South China University of Technology, Guangzhou, China, in 1991
and 1996, respectively. He is a professor in School of Electronic and
Information Engineering at the South China University of Technology. His
research interests include Optical Character Recognition, Document Analysis
and Recognition, Scene Text Detection and Recognition, Computer Vision, Machine
Learning, and Artificial Intelligence. He has authored over 200
scientific papers. He received the New Century Excellent Talent Program of MOE
Award and the Guangdong Pearl River Distinguished Professor Award in 2006 and
2011, respectively.
Research Fields
- Optical
Character Recognition (OCR)
- Handwritten
Character Image Recognition
- Document
Analysis and Recognition (DAR), Document Understanding, Document Intelligence
- Scene Text
Detection and Recognition (STR)
- Foundation
Model (Big Model), LLM
- Applications
of Computer Vision/Image Processing/Artificial
Intelligence/Natural Language Processing
Publications
2024
Journal Papers
1.
Ziyan Li, Yuhao Huang, Dezhi Peng,
Mengchao He, Lianwen Jin*, SideNet:
Learning Representations from Interactive Side Information for Zero-shot
Chinese Character Recognition, Pattern Recognition, 2024. （SCI 2022 IF: 8.518, JCR Q1）
2.
Zhe Li, Wentao Yang, Hengnian Qi,
Lianwen Jin*, Yichao Huang, Kai Ding, A Tree-Based Model with Branch Parallel
Decoding for Handwritten Mathematical Expression Recognition, Pattern
Recognition, 2024. （SCI 2022 IF: 8.518, JCR Q1）
Conference Papers
3.
Jiaxin Zhang, Dezhi Peng, Chongyu Liu,
Peirong Zhang, Lianwen Jin*, DocRes: A Generalist Model Toward Unifying
Document Image Restoration Tasks, CVPR 2024 (CCF A).
4.
Mingxin Huang, Hongliang Li, Yuliang
Liu, Xiang Bai, Lianwen Jin*, Bridging the Gap Between End-to-End and Two-Step
Text Spotting, CVPR 2024 (CCF A).
5.
Chenfan Qu, Yiwu Zhong, Chongyu Liu,
Guitao Xu, Dezhi Peng, Fengjun Guo, Lianwen Jin*, Towards Modern Image
Manipulation Localization: A Large-Scale Dataset and Novel Methods, CVPR 2024
(CCF A).
6.
Dezhi Peng, Chongyu Liu, Yuliang Liu, Lianwen
Jin*, ViTEraser: Harnessing the Power of
Vision Transformers for Scene Text Removal with SegMIM Pretraining, AAAI
2024 (CCF A)
7.
Ning Zhang, Hiuyi Cheng, Jiayu Chen,
Zongyuan Jiang, Jun Huang , Yang Xue, Lianwen
Jin*,M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis, AAAI
2024 (CCF A)
8.
Zhenhua Yang, Dezhi Peng, Yuxin Kong,
Yuyi Zhang, Cong Yao, Lianwen Jin*, FontDiffuser: One-Shot Font Generation via
Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive
Learning, AAAI 2024 (CCF A)
9.
Ruilu Wang, Yang Xue*, Lianwen Jin,
DocNLC: A Document Image Enhancement Framework with Normalized and Latent
Contrastive Representation for Multiple Degradations , AAAI 2024 (CCF A)
10.
Zhen Xu, Ziqiang
Chen, Yaqiang Wu, Hui Li, Wanjun
Lv, Lianwen Jin, Qianying
Wang, A MULTI-SCALE BIMODAL FUSION NETWORK FOR ROBUST AND ACCURATE ONLINE
HANDWRITING RECOGNITION, ICASSP 2024 (CCF B)
2023
Journal Papers
11. Yuliang Liu, Jiaxin Zhang, Dezhi Peng, Mingxin Huang, Xinyu Wang, Jingqun
Tang, Can Huang,Dahua Lin, Chunhua Shen, Xiang Bai, Lianwen Jin*, SPTS v2:
Single-Point Scene Text Spotting, IEEE Transactions on Pattern Analysis and Machine
Intelligence (TPAMI)，2023 （SCI 2021 IF=24.314, JCR Q1）
12.
Chongyu Liu, Cheng Jian, Jiarong Huang,
Wentao Yang, Yongxin Shi, Qing Jiang, and Lianwen Jin, A Robust and Efficient
Algorithm for Chinese Historical Document Analysis and Recognition, National Science Review (NSR), 2023. （SCI 2022 IF:
23.178, JCR Q1）
13.
Zhe Li, Xinyu Wang, Yuliang Liu*,
Lianwen Jin*, Yichao Huang, Kai Ding, Improving Handwritten Mathematical
Expression Recognition via Similar Symbol Distinguishing, IEEE Transactions on
Multimedia (TMM), 2023（SCI 2022 IF: 8.182, JCR Q1）
14.
Jiaxin Zhang, Lingyu Liang, Kai Ding*,
Fengjun Guo, and Lianwen Jin*, Appearance Enhancement for Camera-captured
Document Images in the Wild, IEEE Transactions on Artificial Intelligence
(TAI), 2023
15.
Jiale Cheng, Dongzi Shi, Chenyang Li, Yu
Li, Hao Ni, Lianwen Jin, Xin Zhang*, Skeleton-based
Gesture Recognition with Learnable Paths and Signature Features, IEEE
Transactions on Multimedia (TMM), 2023（SCI 2022 IF: 8.182, JCR Q1）
16.
Zhile Chen, Yuhui Quan, Ruotao Xu, Lianwen
Jin, Yong Xu*, Enhancing texture representation with deep tracing pattern
encoding, Pattern Recognition, 2023. （SCI 2022 IF: 8.518, JCR Q1）
17.
Hongyi Wang, Yang Xue*, Jiaxin Zhang,
Lianwen Jin，Scene table structure recognition with segmentation collaboration and
alignment, Pattern Recognition Letters, 2023. (SCI IF=4.757, JCR Q1)
18. 刘成林，金连文，白翔，李晓辉，殷飞，文档智能分析与识别前沿：回顾与展望，中国图象图形学报，2023..
Conference Papers
19.
Chenfan Qu, Chongyu Liu, Yuliang Liu, Xinhong
Chen, Dezhi Peng, Fengjun Guo, Lianwen Jin*, Towards Robust Tampered
Text Detection in Document Image: New dataset and New Solution, CVPR 2023
(CCF A).
20.
Hiuyi Cheng, Sihang Wu, Peirong Zhang, Jiaxin Zhang, Qiyuan Zhu, Xiezecheng Xie, Jing Li, Kai Ding, Lianwen Jin*, M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout,
Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout
Analysis, CVPR 2023 (CCF A).
21.
Weifeng Lin , Wu Ziheng, Jiayu Chen ,
Jun Huang , Lianwen Jin*, Scale-Aware Modulation Meet Transformer, ICCV 2023 (CCF A).
22.
Mingxin Huang, Jiaxin Zhang, Dezhi Peng,
Yuliang Liu, Hao Lu, Can Huang, Xiang Bai, Lianwen Jin*, ESTextSpotter: Towards
Better Scene Text Spotting with Explicit Synergy in Transformer, ICCV 2023 (CCF A).
23.
Qing Jiang, Jiapeng Wang, Dezhi Peng,
Chongyu Liu, Lianwen Jin*, Revisiting Scene Text Recognition: A Data
Perspective, ICCV 2023 (CCF A).
24.
Wentao Yang, Zhe Li, Dezhi Peng, Lianwen Jin*, Mengchao He, Cong Yao, Read
Ten Lines at One Glance: Line-Aware Semi-Autoregressive Transformer for
Multi-Line Handwritten Mathematical Expression Recognition, ACM MM 2023 (CCF A).
25.
Yongxin Shi, Chongyu Liu, Dezhi Peng, Cheng Jian, Jiarong Huang, Lianwen
Jin*, M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis
Benchmark, NeurIPS 2023 (Datasets & Benchmarks Track) (CCF A).
26.
Jiapeng Wang, Chengyu Wang, Xiaodan
Wang, Jun Huang and Lianwen Jin, CocaCLIP: Exploring Distillation of
Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image
Retrieval, ACL 2013 (Industry Track).
27.
Bingyan Liu, Weifeng Lin, Zhongjie Duan,
Chengyu Wang, Wu Ziheng, Zhang Zipeng, Kui Jia, Lianwen Jin, Cen CHEN and Jun
Huang, Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers
with Fast Inference Speed, ACL 2013 (Industry Track).
28.
Li Zhuoming, Peng Fan, Xue Yang, Ni Hao and
Jin Lianwen, Scene Table Structure Recognition with Segmentation and Key Point
Collaboration, ICDAR 2023 oral (CCF C)
29.
Cheng Jian, Lianwen Jin*, Lingyu Liang
and Chongyu Liu, HisDoc R-CNN: Robust Chinese Historical Document Text Line
Detection with Dynamic Rotational Proposal Network and Iterative Attention
Head, ICDAR 2023 oral (CCF C)
30.
Jiarong Huang, Dezhi Peng, Hongliang Li,
Hao Ni and Lianwen Jin*, SegCTC: Offline Handwritten Chinese Text Recognition
via Better Fusion between Explicit and Implicit Segmentation, ICDAR 2023
(CCF) C
31.
Liufeng Huang, Bangdong Chen, Chongyu
Liu, Dezhi Peng, Weiying Zhou, Yaqiang Wu, Hui Li, Hao Ni and Lianwen Jin*,
EnsExam: A Dataset for Handwritten Text Erasure on Examination Papers, ICDAR
2023 (CCF C)
32.
Haiyang Li, Chongyu Liu, Jiapeng Wang,
Mingxin Huang, Weiying Zhou and Lianwen Jin*, DTDT: Highly Accurate Dense Text
Line Detection in Historical Documents via Dynamic Transformer, ICDAR 2023
oral (CCF C)
33.
Dongliang Luo, Yu Zhou, Rui Yang, Yuliang Liu,
Xianjin Liu, Jishen Zeng, Enming Zhang, Biao Yang, Ziming Huang, Lianwen Jin
and Xiang Bai, ICDAR 2023 Competition on Detecting Tampered Text in Images, ICDAR 2023 (invited paper)
34.
Chenyang Gao, Yuliang Liu, Shiyu Yao, Jinfeng Bai, Xiang
Bai, Lianwen Jin and Cheng-Lin Liu, ICDAR 2023 Competition on Recognition of
Multi-line Handwritten Mathematical Expressions, ICDAR 2023 (invited paper)
2022
Journal Papers
35. Songxuan Lai, Lianwen Jin*,
Yechen Zhu, Ze Li, Luojun Lin, SynSig2Vec: Forgery-free Learning of Dynamic
Signature Representations by Sigma Lognormal-based Synthesis, IEEE TPAMI，2022
36.
Yuliang Liu, Chunhua Shen*, Lianwen Jin*, Tong He, Peng Chen, Chongyu Liu,
Hao Chen, ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end
Text Spotting, IEEE TPAMI，2022
37.
Jiajia Jiang, Songxuan Lai, Lianwen Jin*, Yecheng Zhu, DsDTW: Local
Representation Learning with Deep soft-DTW for Dynamic Signature Verification,
IEEE Transactions on Information Forensics and Security (TIFS), 2022.
38. Canjie Luo, Yuanzhi Zhu, Lianwen
Jin*; Zhe Li, Dezhi Peng, SLOGAN: Handwriting Style Synthesis for
Arbitrary-Length and Out-of-Vocabulary Text, IEEE TNNLS, 2022
39.
Dezhi Peng, Lianwen Jin*, Weihong Ma, Canyu Xie, Hesuo Zhang, Shenggao
Zhu, and Jing Li, Recognition of Handwritten Chinese Text by Segmentation: A
Segment-annotation-free Approach, IEEE Transactions on Multimedia (TMM),
2022
40.
Lingyu Liang, Lianwen Jin*, Yong Xu, PDE Learning of Filtering and
Propagation for Task-Aware Facial Intrinsic Image Analysis, IEEE Transactions on Cybernetics (TCYB)
, vol.52, no. 2, pp 1021-1034, 2022.
41.
Dezhi Peng, Lianwen Jin*, Yuliang Liu, Canjie Luo, Songxuan Lai, PageNet:
Towards End-to-End Weakly Supervised Page-Level Handwritten Chinese Text
Recognition, International Journal of Computer Vision (IJCV), 2022.
42. Jiajia Jiang, Songxuan Lai,
Lianwen Jin*, Yecheng Zhu, Jiaxin Zhang, Bangdong Chen, Learning
to Generate Realistic Signatures for Forgery-free Offline Handwritten Signature
Verification, Neurocomputing, 2022
43. Ruben Tolosana, Ruben
Vera-Rodriguez, Carlos Gonzalez-Garcia, Santiago Rengifo, Aythami Morales
Julian Fierrez, Javier Ortega-Garcia, Juan Carlos Ruiz-Garcia, Sergio
Romero-Tapiador, Jiajia Jiang, Songxuan Lai, Lianwen Jin, et al.,
SVC-onGoing: Signature Verification Competition, Pattern Recognition,
2022.
44.
Ying Cai, Yuliang Liu*, Chunhua Shen, Lianwen Jin*, Yidong
Li, Daji Ergu, Arbitrarily
Shaped Scene Text Detection with Dynamic Convolution, Pattern Recognition,
2022.
45. 高良才, 李一博, 都林, 张新鹏, 朱子仪, 卢宁, 金连文, 永帅, 汤帜，表格识别技术研究进展，中国图象图形学报，vol.24, no.6, 2022. (in Chinese)
Conference Papers
46.
Jiapeng Wang,
Lianwen Jin*, Kai Ding, LiLT: A Simple yet Effective
Language-Independent Layout Transformer for Multilingual Structured Text
Understanding, ACL 2022
47.
Canjie Luo, Lianwen
Jin*, Jingdong Chen, SimAN:
Exploring Self-Supervised Representation Learning of Scene Text via
Similarity-Aware Normalization, CVPR 2022
48. Mingxin Huang, Yuliang Liu, Zhenghao
Peng, Chongyu Liu, Dahua Lin, S.G. Zhu, N. Yuan, K.
Ding，Lianwen Jin*, SwinTextSpotter: Scene Text Spotting via Better Synergy
between Text Detection and Text Recognition, CVPR 2022
49. Yuxin Kong, Canjie Luo, Weihong
Ma, Qiyuan Zhu, Shenggao
Zhu, N. Yuan, Lianwen Jin*, Look Closer to Supervise Better: One-Shot
Font Generation via Component-Based Discriminator, CVPR 2022
50.
Dezhi Peng, Xinyu Wang, Yuliang Liu, Jiaxin Zhang, Mingxin Huang, Songxuan Lai, Jing
Li, Shenggao Zhu, Dahua Lin, Chunhua
Shen, Xiang Bai, Lianwen Jin*, SPTS: Single-Point Text Spotting, ACM MM
2022. oral
51.
Jiaxin Zhang, Canjie Luo, Lianwen Jin*, Fengjun
Guo, Kai Ding, Marior: Margin Removal and Iterative
Content Rectification for Document Dewarping in the
Wild, ACM
MM 2022
52.
Chongyu Liu,
Lianwen Jin*, Yuliang Liu, Canjie
Luo, Bangdong Chen, Fengjun
Guo, Kai Ding, Don't Forget Me: Accurate Background Recovery for Text Removal
via Modeling Local-Global Context, ECCV 2022.
53. Peirong Zhang, Jiajia Jiang, Yuliang
Liu, Lianwen Jin，MSDS: A Large-Scale Chinese Signature and Token
Digit String Dataset for Handwrting Verification，NeurIPS 2022 (Tracks on Datasets and Benchmarks)
54. Jizhao Ma, Lianwen Jin*, Jiaxin Zhang, Jiajia Jiang, TextSRNet: Scene
Text Super-Resolution Based on Contour Prior and Atrous
Convolution, ICPR 2022 (oral)( ICPR 2022 Best Scientific Paper
Award!)
55. Yujin Ren, Jiaxin Zhang, Bangdong
Chen, Xiaoyi Zhang, Lianwen Jin, Look
from a Higher-level Perspective: Attention and Recognition Enhanced Multi-scale
Segmentation Network for Scene Text, ACCV 2022 (Oral)
56. Xiaoyi Zhang, Jiapeng Wang, Lianwen Jin*, Yujin Ren, Yang Xue, CMT-Co:
Contrastive Learning with Character Movement Task for Handwritten Text
Recognition, ACCV 2022 Oral (Best Application Paper Honorable Mention!)
57. Xiaoyi Zhang, Tianwei Wang, Jiapeng
Wang, Lianwen Jin, Canjie Luo and Yang Xue, ChaCo: Character Contrastive
Learning for Handwritten Text Recognition, ICFHR 2022. (Best Student Paper Award!)
58. Bangdong Chen, Dezhi Peng, Jiaxin
Zhang, Yujin Ren and Lianwen Jin, Complex Table
Structure Recognition in the Wild using Transformer and Identity Matrix-based
Augmentation, ICFHR 2022.
59. Xiaoyi Zhen, Lianwen Jin, SCUT-CAB: A New Benchmark Dataset of Ancient
Chinese Books with Complex Layouts for Document Layout Analysis, ICFHR 2022.
2021
Journal Papers:
60.
Canjie Luo, Qingxiang Lin, Yuliang Liu, Lianwen Jin*, Chunhua
Shen, Separating Content from Style Using Adversarial Learning for Recognizing
Text in the Wild, International Journal
of Computer Vision (IJCV), 2021（SCI 2021
IF:13.369）
61.
Yuliang Liu, Tong He, Hao Chen, Xinyu Wang, Canjie Luo,
Shuaitao Zhang, Chunhua Shen*, Lianwen Jin*, Exploring the Capacity of an
Orderless Box Discretization Network for Multi-orientation Scene Text
Detection, International Journal of Computer Vision (IJCV) 2021 (accepted)（SCI IF:7.410）
62.
Xiaoxue Chen, Lianwenn Jin*, Yuanzhi Zhu, Canjie Luo, Tianwei
Wang, Text Recognition in the Wild: A Survey, accepted to appear in ACM
Computing Surveys, 2021.（SCI IF:10.282）
63.
Tasweer Ahmad, Lianwen Jin, Xin Zhang, Songxuan Lai, Guozhi Tang,
Luojun Lin, Graph Convolutional Neural Network for Action Recognition: A
Comprehensive Survey, IEEE Trans. Artificial Intelligence, 2021.
64.
Songbin Xu, Yang Xue*, Xin Zhang, Lianwen Jin, A Novel Unsupervised Domain
Adaptation Method for Inertia-Trajectory Translation of In-air Handwriting, Pattern
Recognition, 2021.（SCI IF:7.740）
65.
Yong Xu, Haoyang Zou,Yan Huang, Lianwen
Jin, Haibin Ling, Super-resolving blurry face images
with identity preservation,
Pattern Recognition Letters, 2021.（SCI IF:3.756）
66.
刘崇宇，陈晓雪，罗灿杰，金连文*，薛洋*，刘禹良，自然场景文本检测与识别的深度学习方法，中国图象图形学报，vol. 26, no.6, pp1330-1368, 2021. ( In
Chinese)
Conference Papers:
67. Tianwei Wang, Yuanzhi Zhu, Lianwen Jin*, Dezhi Peng, Zhe Li, Mengchao He, Yongpan Wang, Canjie Luo, Implicit Feature Alignment: Learn to Convert
Text Recognizer to Text Spotter, CVPR 2021.
68. Yiqin Zhu, Jianyong Chen, Lingyu
Liang, Zhanghui Kuang, Lianwen
Jin, Wayne Zhang, Fourier Contour Embedding for Arbitrary-Shaped Text
Detection, CVPR 2021.
69.
Towards
Robust Visual Information Extraction in Real World: New Dataset and Novel
Solution，AAAI 2021.
70.
Jiapeng Wang, Tianwen Wang, Guozhi Tang,
Lianwen Jin*, Weihong Ma, Kai Ding, Yichao Huang, Tag, Copy or Predict: A Unified
Weakly-Supervised Learning Framework for Visual Information Extraction using
Sequences, IJCAI 2021.
71.
Guozhi Tang, Lele Xie,
Liannwen Jin*, Jiapeng
Wang, Jingdong Chen, Zhen Xu, Qianying
Wang, Yaqiang, Wu, Hui Li, MatchVIE:
Exploiting Match Relevancy between Entities for Visual Information Extraction, IJCAI 2021.
72. Yuhao Huang, Lianwen Jin and Dezhi Peng， Zero-Shot Chinese Text
Recognition via Matching Class Embedding, ICDAR 2021.
73. Sihang Wu, Canyu Xie,
Yuhao Huang, Guozhi Tang, Qianying Liao, Jiapeng Wang, Bangdong Chen, et al., Improving Machine Understanding of
Human Intent in Charts, ICDAR 2021.
74. Hesuo Zhang, Weihong Ma, Lianwen Jin, et al., DeMatch: Towards Understanding the Panel of Chart
Documents, ICDAR 2021.
75. Weihong Ma, Hesuo Zhan, et al., Towards an
efficient framework for Data Extraction from Chart Images, ICDAR 2021.
76. Dezhi Peng, Canyu Xie,
Hongliang Li, Lianwen Jin, et al., Towards Fast,
Accurate and Compact Online Handwritten Chinese Text Recognition, ICDAR
2021.
77. Qianying Liao, Qingxiang Lin, Lianwen Jin, Canjie Luo, Jiaxin Zhang, Dezhi Peng and Tianwei Wang, A
Multi-level Progressive Rectification Mechanism for Irregular Scene Text
Recognition, ICDAR 2021.
2020
Journal Papers:
78. Chongyu Liu, Yuliang Liu,
Lianwen Jin*, Suaitao Zhang, Canjie Luo, Yongpan Wang, EraseNet: End-to-End
Text Removal in the Wild, IEEE Transactions on Image
Processing (TIP), 2020.（SCI IF:10.856）
79. Yuliang Liu, Lianwen Jin* Chuanming Fang, Arbitrarily
Shaped Scene Text Detection with a Mask Tightness Text Detector, IEEE Transactions on Image Processing (TIP), vol.29, pp 2918-2930, 2020.（SCI IF:10.856）
80.
Songxuan Lai, Yecheng Zhu, Lianwen Jin*, Encoding Pathlet
and SIFT Features with Bagged VLAD for Historical Writer Identification, IEEE Transactions on
Information Forensics and Security (TIFS), vol.15, no. 6, pp 3553-3566,
2020.（SCI IF:7.178）
81. Sheng Zhang, Yuliang Liu,
Lianwen Jin, Zhongrong Wei, Chunhua Shen, OPMP: An Omni-directional Pyramid
Mask Proposal Network for Arbitrary-shape Scene Text Detection, IEEE
Transactions on Multimedia (TMM) , 2020.（SCI IF:6.513）
82. Lingyu Liang, Lianwen Jin*,
Yong Xu, PDE Learning of Filtering and Propagation for Task-Aware Facial
Intrinsic Image Analysis, IEEE
Transactions on Cybernetics (TCYB) , vol.52, no.2, pp 1021-1034, 2020.（SCI IF:11.448）
83.
Sihang Wu, Jiapeng Wang, Weihong Ma, Lianwen
Jin*，Precise
Detection of Chinese Characters in Historical Documents with Deep Reinforcement
Learning, Pattern Recognition, 2020. （SCI IF:7.740）
84.
Hesuo Zhang, Lingyu Liang*, Lianwen Jin, SCUT-HCCDoc:
A New Benchmark Dataset of Handwritten Chinese Text in Unconstrained
Camera-captured Documents, Pattern Recognition, 2020.（SCI IF: 7.740）
85.
Qingxiang Lin, Canjie Luo, Lianwen Jin*, Songxuan
Lai, STAN:
A Sequential Transformation Attention-based Network for Scene Text Recognition, Pattern
Recognition, 2020. （SCI IF:7.740）
86.
Xiaoxue Chen, Tianwei Wang, Yuanzhi Zhu, Lianwen Jin*, Canjie Luo, Adaptive Embedding Gate for
Attention-Based Scene Text Recognition, Neurocomputing,
vol.381, pp261-271, 2020.（SCI IF:5.719）
87. Yunlong
Huang, Zenghui Sun, Lianwen Jin*, Canjie
Luo, EPAN: Effective Parts Attention Network for Scene Text Recognition, Neurocomputing,
2020.（SCI IF:5.719）
88.
Tasweer Ahmad, Lianwen Jin*, Luojun Lin, Guozhi Tang, Action
recognition using sparse spatio-temporal GCN with
edge effective resistance, Neurocomputing,
2020.（SCI IF:5.719）
89.
Jiaxin
Zhang; Canjie Luo; Lianwen Jin, PhD; Tianwei Wang; Ziyan Li; Weiying Zhou, SaHAN: Scale-aware
hierarchical attention network for scene text recognition, Pattern
Recognition Letters, 2020.（SCI IF:3.756）
Conference Papers:
90.
Songxuan Lai, Lianwen Jin*,
Yecheng Zhu, Huiyun Mao, SynSig2Vec: Learning Representations from Synthetic
Dynamic Signatures for Real-world Verification, AAAI 2020.
91.
Tianwei Wang, Yuanzhi Zhu,
Lianwen Jin*, Canjie Luo, Xiaoxue Chen, Yapeng Wu, Qianyin Wang, Decoupled
Attention Network for Text Recognition, AAAI
2020.
92. Canjie Luo, Yuanzhi Zhu, Lianwen Jin, Yongpan Wang, Learn to Augment:
Joint Data Augmentation and Network Optimization for Text Recognition, CVPR
2020.
93. Yuliang Liu, Hao Cheng, Chunhua Shen, Tong He, Lianwen Jin, Liangwei Wang,
ABCNet: Arbitrarily-Shaped Scene Text Spotting with Adaptive Bezier-Curve
Network,
CVPR 2020.
94. Xinyu Wang, Yuliang Liu, Chunhua Sheng, CC Ng, Canjie Luo, Lianwen Jin, et
al, On the General Value of Evidence, and Bilingual Scene-Text Visual Question
Answering, CVPR 2020.
95. Yaoxiong Huang, Mengchao He, Lianwen Jin, Yongpan Wang, RD-GAN:
Few/Zero-Shot Chinese Character Style Transfer via Radical Decomposition and
Rendering, ECCV 2020.
96. Canyu Xie, Songxuan Lai, Lianwen Jin and Qianying Liao, High performance
offline handwritten Chinese text recognition with a new data preprocessing and
augmentation pipeline, DAS 2020.
97. Weihong Ma, Hesuo Zhang, Lianwen Jin, Sihang Wu, Jiapeng Wang and Yongpan
Wang, A Joint OCR and Layout Analysis Framework for Historical Document
Digitization, ICFHR 2020.
98. Zhe Li, Lianwen Jin, Songxuan Lai and Yecheng Zhu, Improving
Attention-Based Handwritten Mathematical Expression Recognition with Scale
Augmentation and Drop Attention, ICFHR 2020.
99. Yecheng Zhu, Songxuan Lai, Zhe Li and Lianwen Jin, Point-to-Set Similarity
Based Deep Metric Learning for Offline Signature Verification, ICFHR
2020.
2019
Journal Papers:
100. Songxuan Lai, Lianwen Jin*, Recurrent Adaptation Networks for Online
Signature Verification, IEEE
Transactions on Information Forensics and Security (TIFS), vol.14, no. 6,
pp 1624-1637, 2019.（SCI IF:7.178）
101. Luojun Lin, Yuliang Liu, Lianwen Jin*, Regression Guided by Relative
Ranking Using Convolutional Neural Network (R^3CNN) for Facial Beauty
Prediction, IEEE Transactions on Affective Computing (TAFFC), 2019.（SCI IF:10.506）
102. Canjie Luo, Lianwen Jin*, Zenghui Sun, MORAN: A Multi-Object Rectified
Attention Network for Scene Text Recognition, Pattern Recognition, vol. 90, no.6, pp109-118, 2019（SCI IF:7.740）
103. Yuliang Liu, Lianwen Jin*, Shuaitao Zhang, Canjie Luo and Sheng Zhang，Curved Scene
Text Detection via Transverse and Longitudinal Sequence Connection，Pattern Recognition, vol. 90,
no.6, pp337-345, 2019（SCI IF:7.740）
104. Zecheng Xie, Yiaoxiong Huang, Lianwen
Jin*, Yuliang Liu,Yuanzhi Zhua, Liangcai Gao, Xiaode Zhang, Weakly Supervised
Precise Segmentation for Historical Document Images, NeuroComputing, 2019（SCI IF:5.719）
105. Yuanzhi Zhu, ZeCheng Xie, Lianwen Jin*, Xiaoxue Chen, Yaoxiong Huang, Ming
Zhang, SCUT-EPT: a New Dataset and Benchmark for Offline Chinese Text
Recognition in Examination Paper, IEEE Access, vol.7, no.1,
pp.370-382, 2019.（SCI IF:3.367）
106. Fan Yang, Lianwen Jin*, Songxuan Lai, Xue Gao, Zhaohai Li, Fully
Convolutional Sequence Recognition Network for water meter Number Reading, IEEE Access, vol.7, no.1, pp
11679-11687, 2019.（SCI IF:3.367）
107. Yuliang Liu, Lianwen Jin*, Songxuan
Lai, Automatic Labeling of Large Amounts of Handwritten Characters with
Gate-guided Dynamic Deep Learning, Pattern Recognition Letters, vol.119, no.3, pp94-102, 2019.（SCI IF:3.756）
108. Tasweer Ahmad*,
Lianwen Jin, Jialuo Feng, Guoizhi
Tang, Human Action
Recognition in unconstrained trimmed videos using Residual Attention network
and Joints Path Signature, IEEE Access, 2019.（SCI IF:3.367）
Conference Papers:
109. Zecheng Xie, Yiaoxiong Huang, Yuanzhi
Zhu, Lianwen Jin*, Yuliang Liu, Lele Xie, Aggregation Cross-Entropy for
Sequence Recognition, CVPR 2019 (Oral).
110. Yuliang Liu, Lianwen Jin*,
Zecheng Xie, Canjie Luo, Lele Xie, Shuaitao Zhang, Tightness-aware Evaluation
Protocol for Scene Text Detection, CVPR
2019.
111. Lele Xie, Yuliang Liu, Lianwen
Jin*, Zecheng Xie, DeRPN: Taking a further step toward more general object
detection, AAAI 2019.
112. Shuaitao Zhang, Yuliang Liu,
Lianwen Jin*, Yaoxiong Huang, Songxuan Lai，EnsNet: Ensconce Text in the Wild, AAAI 2019.
113. Yang Chen, Xin Zhang, Lufan
Liao, Lianwen Jin, Weixin Yang, Skeleton-based Gesture Recognition Using
Several Fully Connected Layers with Path Signature Features and Temporal
Transformer Module, AAAI 2019.
114. Luojun Lin, Linyu Liang,
Lianwen Jin*, Weijie Chen, Attribute-Aware Convolutional Neural Networks
for Facial Beauty Prediction, IJCAI 2019.
115. Yuliang Liu, Sheng Zhang,
Lianwen Jin*, Lele Xie, Yaqiang Wu, Zhepeng Wang, Omnidirectional Scene Text
Detection with Sequential-free Box Discretization, IJCAI 2019.
116. Lingyu Liang, Lianwen Jin,
Yong Xu, Adaptive GNN for Image Analysis and Editing, NeurIPS 2019.
117. Dezhi
Peng, Lianwen Jin, Yaqiang Wu, Zhepeng
Wang, Mingxiang Cai, A Fast and Accurate Fully
Convolutional Network for End-to-End Handwritten Chinese Text Segmentation and Recognition ,
ICDAR 2019.
118.
Yunlong Huang , Canjie Luo , Lianwen Jin ,
Qingxiang Lin , Weiying
Zhou, Attention After Attention: Reading Text in the Wild with Cross Attention,
ICDAR 2019
119.
Yaoxiong
Huang , Zecheng Xie , Lianwen Jin , Yuanzhi Zhu ,
Shuaitao Zhang, Adversarial Feature Enhancing Network
for End-to-End Handwritten Paragraph Recognition, ICDAR 2019.
120.
Shuangping
Huang , Haobin Wang , Yongge Liu, Xiaosong Shi, Lianwen
Jin, OBC306: A Large-Scale Oracle Bone Character Recognition Dataset681,
ICDAR 2019.
121.
Songxuan
Lai , Lianwen Jin, Offline Writer Identification Based
on the Path Signature Feature, ICDAR 2019.
122.
Jinrong
Li , Zijian Zhou, Zhizhong Su, Shuangping
Huang , Lianwen Jin, A New Parallel Detection-Recognition Approach for
End-to-End Scene Text Extraction, ICDAR 2019.
123.
Yipeng
Sun , Zihan Ni , Chee-Kheng Chng , Yuliang Liu , Canjie Luo , Chun Chet Ng , Junyu
Han , Errui Ding , Jingtuo
Liu , Dimosthenis Karatzas,
Chee Seng Chan , Lianwen Jin, ICDAR 2019 Competition on Large-Scale Street View
Text with Partial Labeling - RRC-LSVT, ICDAR 2019.
124.
Chee Kheng Chng, Yuliang Liu
, Yipeng Sun , Chun Chet Ng , Canjie Luo , Zihan Ni , ChuanMing Fang , Shuaitao Zhang ,
Junyu Han , Errui Ding , Jingtuo Liu , Dimosthenis Karatzas, Chee Seng Chan , Lianwen Jin, ICDAR2019 Robust
Reading Challenge on Arbitrary-Shaped Text - RRC-ArT,
ICDAR 2019.
2018
Journal Papers:
125. Zecheng
Xie, Zenghui Sun, Lianwen Jin*, Hao Ni and Terry Lyons，Learning
Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online
Handwritten Chinese Text Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol.40,
no.8, pp 1903-1917, 2018.（SCI IF:16.389）
126.
Zhaoyang
Yang, Kathryn Merrick, Lianwen Jin, Hussein Abbass,
Hierarchical Deep Reinforcement Learning for Continuous Action Control, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018.（SCI IF:10.451）
127. Lele
Xie, Tasweer Ahmad, Lianwen Jin*, Yuliang Liu, and Sheng Zhang, A New CNN based
Method for Multi-directional Car License Plate Detection, IEEE Transactions on Intelligent
Transportation Systems (TITS), vol. 19, no.2, pp. 507-517, 2018（SCI IF:6.492）
128.
Jingcong Li, Zhu
Liang Yu*, Zhenghui Gu, Wei Wu, Yuanqing
Li and Lianwen Jin,“A Hybrid
Network for ERP Detection and Analysis Based on Restricted Boltzmann Machines”,
IEEE
Transactions on Neural Systems and Rehabilitation Engineering, 2018, VOL. 26, NO. 3, pp63-572, 2018.（SCI IF:3.802）
129. Pengwei Wang, Lei Ji, Jun
Yan, Dejing Dou, Nisansa De Silva, Yong Zhang, Lianwen Jin, Concept and
Attention Based CNN for Question Retrieval in Multi-View Learning, ACM Transactions on Intelligent
Systems and Technology，vol.9,
no.4, pp1-24， 2018.（SCI IF:4.654）
130. Shuangping Huang, Zhuoyao Zhong, Lianwen Jin*
Shuye Zhang, Haobin Wang, DropRegion
Training of Inception Font Network for High-Performance Chinese Font
Recognition, Pattern
Recognition, vo. 77, no. 5, pp 395-411, 2018（SCI IF:7.740）
131. Hailin
Yang, Lianwen Jin*, Weiguo Huang, Zhaoyang Yang, Songxuan Lai, Jifeng Sun,
Dense and Tight Detection of Chinese Charactersin Historical Documents:
Datasets and a Recognition Guided Detector, IEEE Acess, 2018.（SCI IF:3.367）
Conference
Papers:
132.
The most
Sheng Zhang, Yuliang Liu, Lianwen Jin, Canjie Luo，Feature Enhancement Network: A Refined Scene Text Detector, AAAI 2018.
133.
Zikai
Sun, Dezhi Peng, Zirui Cai, Zirong Chen, Lianwen Jin，Scale Mapping And
Dynamic Re-Detecting In Dense Head Detection, ICIP 2018.
134. Dezhi Peng, Zikai
Sun, Zirong Chen, Zirui Cai, Lele Xie, Lianwen Jin, Detecting Heads Using
Feature Refine Net and Cascaded Multi-Scale Architecture, pp2528-2533, ICPR 2018.
135. Luojun Lin, Lingyu Liang and
Lianwen Jin*, R^2-ResNeXt: A ResNeXt-Based Regression Model with Relative
Ranking for Facial Beauty Prediction, pp85-90, ICPR 2018.
136. Lingyu Liang, Luojun Lin,
Lianwen Jin*, Duorui Xie and Mengru Li, SCUT-FBP5500: A Diverse Benchmark
Dataset for Multi-Paradigm Facial Beauty Prediction, pp1598-1633, ICPR 2018.
137. Haobin Wang, Shuangping
Huang∗ and Lianwen Jin，Focus on Scene Text Using
Deep Reinforcement Learning, pp3759-3765, ICPR
2018.
138. Mengchao He, Yuliang Li2, Zhibo
Yang, Sheng Zhang, Canjie Luo, Feiyu Gao, Qi Zheng, Yongpan Wang, Xin Zhang and
Lianwen Jin， ICPR2018 Contest on Robust
Reading for Multi-Type Web Images，pp7-13, ICPR 2018.
139.
Manfei Liu, Zecheng Xie, YaoXiong Huang, Lianwen Jin*,
Weiyin Zhou, Distilling GRU with Data Augmentation for Unconstrained
Handwritten Text Recognition, pp56-61, ICFHR
2018.
140.
Yafeng
Yang, Kaihuan Liang, Xuefeng Xiao, Zecheng Xie, Lianwen Jin*, Jun Sun, Weiying
Zhou, Accelerating and Compressing LSTM Based Model for Online Handwritten
Chinese Character Recognition, pp110-115, ICFHR
2018.
141.
Songxuan
Lai, Lianwen Jin, Learning Discriminative Feature Hierarchies for Off-Line
Signature Verification, pp175-180, ICFHR
2018.
142.
Hailin
Yang, Lianwen Jin*, Jifeng Sun, Recognition of Chinese Text in Historical
Documents with Page-Level Annotations, pp199-204, ICFHR 2018.
143.
Zhe Li,
Lianwen Jin, Songxuan Lai, Rotation-Free Online Handwritten Chinese Character
Recognition using Two-Stage Convolutional Neural Network, pp205-210, ICFHR 2018.
144.
Yaoxiong
Huang, Zecheng Xie, Manfei Liu, Shuaitao Zhang, and Lianwen Jin, Deep Word
Association: A Flexible Chinese Word Association Method with Iterative
Attention Mechanism，PRCV
2018. Lecture Notes in Computer Science, vol 11258. Springer
145.
Qingxiang
Lin, Lingyu Liang, Yaoxiong Huang, and Lianwen Jin, Learning to Generate
Realistic Scene Chinese Character Images by Multitask Coupled GAN, PRCV 2018. Lecture Notes in Computer Science, vol 11258. Springer.
2017
Journal Papers:
146. Pengwei
Wang Tianyong Hao Jun Yan
Lianwen Jin, Large‐scale
extraction of drug–disease pairs from the medical literature, JOURNAL OF THE
ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 68(11):2649–2661, 2017（SCI IF:2.687）
147. Lingyu
Liang, Lianwen Jin and Deng Liu, Edge-Aware Label Propagation for Mobile Facial
Enhancement on the Cloud.
IEEE Transactions on Circuits and Systems for Video Technology.
2016. (SCI, IF= 3.558)（SCI
IF:4.685）
148. Xuefeng
Xiao, Lianwen Jin*, Yafeng Yang, Weixin Yang, Jun Sun, Tianhai Chang, Building
Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese
Character Recognition, Pattern
Recognition, vo. 72, no. 12, pp 72-81, 2017（SCI IF:7.740）
149. Songxuan
Lai, Lianwen Jin*, Weixin Yang, Toward high-performance online HCCR: a CNN
approach with DropDistortion, path signature and spatial stochastic
max-pooling, Pattern
Recognition Letters, 2017（SCI IF:3.756）
150. Yuliang Liu, Lianwen Jin*, Songxuan Lai, Automatic Labeling of Large Amounts of
Handwritten Characters with Gate-guided Dynamic Deep Learning, Pattern Recognition Letters,
DOI information: 10.1016/j.patrec.2017.02.011, 2017.（SCI IF:3.756）
151. Feng Ziyong,
Yang Zhaoyang, Jin Lianwen, Huang Shuangping*,
Sun Jun, Robust shared feature learning for script and
handwritten/machine-printed identification, Pattern Recognition Letters, 100 (12): 6-13, 2017.（SCI IF:3.756）
Conference Papers:
152. Yuliang
Liu, Lianwen Jin*, Deep Matching Prior Network: Toward Tighter Multi-oriented
Text Detection, CVPR 2017.
153. Zhaoyang
Yang, Kathryn Merrick, Hussein Abbass, Lianwen Jin，Multi-Task
Deep Reinforcement Learning for Continuous Action Control, IJCAI 2017.
154. Pengwei
Wang, Zhongyuan Wang, Lei Ji, Jun Yan, Lianwen Jin, Can Machines Intelligently
Propose Novel and Reasonable Scientific Hypotheses, WWW 2017
155. Zhuoyao
Zhong, Lianwen Jin*, Shuangping Huang, DeepText: A New Approach for Text
Proposal Generation and Text Detection in Natural Images, ICASSP 2017.
156. Jie
Xu, Linyu Liang, Lianwen Jin*, Huiyun Mao, Facial Attractiveness Prediction
using Psychologically Inspired Convolutional Neural Networks (PI-CNN), ICASSP 2017.
157. Pengwei
Wang, Yong Zhang, Jie Li, Jun Yan, Lianwen Jin,
Concept Embedded Convolutional Semantic Model for Question Retrieval,
Proceedings of the Tenth ACM International Conference on Web Search and Data
Mining ， WSDM 2017.
158. Lingyu
Lianwen, Duorui Xie, Lianwen Jin, et al, region-aware scattering convolution
networks for facial beauty prediction, IEEE
ICIP 2017.
159. Zhaoyang
Yang, Lianwen Jin, et al, Identifying Machine-Printed and Handwritten Texts
using DropRegion and Deep Convolutional Network, ICDAR 2017.
160. Xuefeng
Xiao, Yafeng Yang, Tasweer Ahmad, Lianwen Jin, Tianhai Chang, Design of a Very
Compact CNN Classifier for Online Handwritten Chinese Character Recognition
Using DropWeight and Global Pooling, ICDAR
2017.
161. Kaihuan
Liang, Lianwen Jin, et al, A Comprehensive Analysis of Misclassified
Handwritten Chinese Character Samples by Incorporating Human Recognition, ICDAR
2017.
162. Manfei
Liu, Lianwen Jin, Zecheng Xie, PS-LSTM- Capturing Essential Sequential Online
Information with Path Signature and LSTM for Writer Identification, ICDAR 2017.
163. Songxuan
Lai, Lianwen Jin, Weixin Yang, Online
Signature Verification using Recurrent Neural Network and Length-normalized
Path Signature Descriptor, ICDAR 2017.
164. Wenbin
Wu, Chenyang Li, Zhuo Chen, Xin Zhang, Lianwen Jin, YOLSE- Egocentric Fingertip Detection From
Single RGB Images, ICCV 2017 HAND
workshop, 2017. (Best paper award)
165. Chenyang
Li, Zhuo Chen, Xin Zhang, Lianwen Jin, LPSNet- A Novel Log Path Signature
Feature based Hand Gesture Recognition, ICCV
2017 HAND workshop, 2017.
2016
Journal Papers:
166. Weixin
Yang, Lianwen Jin and Manfei Liu, Deepwriterid: An End-to-End Online
Text-Independent Writer Identification System. IEEE Intelligent Systems. 31: 45-53, 2016. (SCI, IF=2.534, JCR Ranking Q2)（SCI IF:3.405）
167.
Weixin Yang, Lianwen Jin, Dacheng Tao, Zecheng Xie, Ziyong Feng, DropSample: A New Training Method to Enhance Deep
Convolutional Neural Networks for Large-Scale Unconstrained Handwritten Chinese
Character Recognition, Pattern Recognition, 2016.（SCI IF:7.740）
168. Shuye
Zhang, Lianwen Jin and Liang Lin, Discovering Similar Chinese Characters in
Online Handwriting with Deep Convolutional Neural Networks. International
Journal on Document Analysis and Recognition (IJDAR). 1-16, 2016.（SCI IF:2.085）
169. Dapeng
Tao, Lianwen Jin, Yuan Yuan and Yang Xue, Ensemble Manifold Rank Preserving for
Acceleration-Based Human Activity Recognition. IEEE Transactions on
Neural Networks and Learning Systems. 27: 1392-1404, 2016.（SCI IF:10.451）
170.
Dapeng Tao, Xu Lin, Lianwen Jin and Xuelong Li,
Principal Component 2-D Long Short-Term Memory for Font Recognition on Single
Chinese Characters. IEEE
Transactions on Cybernetics. 46: 756-765, 2016.（SCI IF:11.448）
Conference Papers:
171.
Shuye
Zhang1, Mude Lin, Tianshui Chen,
Lianwen Jin, Liang Lin, CHARACTER PROPOSAL NETWORK FOR ROBUST TEXT EXTRACTIO, ICASSP 2016.
172.
Ziyong Feng, Zenghui Sun, Lianwen Jin, LEARNING DEEP
NEURAL NETWORK USING MAX-MARGIN MINIMUM CLASSIFICATION ERROR, ICASSP 2016.
173. Chengcheng
Wang, Harold Mouchere, Christian Viard-Gaudin,
Lianwen Jin, Combined Segmentation and Recognition of Online Handwritten
Diagrams with High Order Markov Random Field, pp 252-257, Shenzhen, Guangdong,
China, October 23-26, ICFHR 2016.
174. Zenghui
Sun, Lianwen Jin, Zecheng Xie,
Ziyong Feng, Shuye Zhang,
Convolutional Multi-directional Recurrent Network for Offline Handwritten Text
Recognition, pp 240-245, Shenzhen, Guangdong, China, October 23-26, ICFHR 2016.
175. Zhuoyao
Zhong, Weishen Pan, Lianwen Jin, Harold Mouchère, Christian Viard-Gaudin,
SpottingNet: Learning the Similarity of Word Images
with Convolutional Neural Network for Word Spotting in Handwritten Historical
Documents, pp 295-300, ICFHR 2016.
176. Fan
Yang, Lianwen Jin, Weixin Yang, Ziyong
Feng, Shuye Zhang, Handwritten/Printed Receipt
Classification using Attention-Based Convolutional Neural Network, pp 384-389,
Shenzhen, Guangdong, China, October 23-26, ICFHR
2016.
177. Zecheng Xie, Zenghui Sun, Lianwen Jin, Ziyong Feng, Shuye Zhang, Fully
Convolutional Recurrent Network for Handwritten Chinese Text Recognition, pp
4000-4005, Cancun, Mexico, December 4 - 8, ICPR
2016.
178. Weixin
Yang, Lianwen Jin, Hao Ni, Terry Lyons, Rotation-free Onine
Handwritten Character Recognition using Dyadic Path Signature Features, Handging Normalization, and Deep Neural Network, pp
4072-4077, Cancun, Mexico, December 4 - 8, ICPR
2016.
179. 131. Xiaorui Liu, Yichao Huang, Xin Zhang , Lianwen Jin, Fingertip in the Eye: An
Attention-Based Method for Real-Time Hand Tracking and Fingertip Detection in
Egocentric Videos, Volume 662 of the series Communications in Computer and
Information Science, pp 145-154.
180. Yichao
Huang, Xiaorui Liu, Xin Zhang, Lianwen Jin, A
Pointing Gesture Based Egocentric Interaction System: Dataset, Approach and
Application, CVPR Workshop, 2016.
181. Pengwei
Wang, Jie Li, Jun Yan, Lianwen Jin, W.Y. Ma, Learning
to Extract Conditional Knowledge for Question Answering using Dialogue, pp
277-286, Indianapolis, Indiana, USA, October 24 - 28, CIKM 2016.
2015
Journal Papers:
182.
Lingyu Liang, Lianwen Jin*, Xin Zhang and Yong Xu*, Multiple Facial Image
Editing Using Edge–Aware PDE Learning，
Computer Graphics Forum， 34(7): 203–212, 2015.（SCI IF:2.078）
183.
Shuangping Huang, Lianwen Jin+, Kunnan Xue, Yuan Fang, Online Primal-dual Learning for a
Data-dependent Multi-kernel Combination Model with Multi-class Visual
Categorization Applications, Information Science, doi:10.1016/j.ins.2015.05.009, 2015.（SCI IF:6.795）
184.
Shuangping Huang, Lianwen Jin, Online Multi-kernel Learning Based on a Triple Norm Regularizer for Semantic Image Classification, Mathematical
Problems in Engineering, 2015.（SCI IF:1.305）
185. Ziyong Feng, Lianwen
Jin+, et.al, DLANet:
A Manifold-Learning-based Discriminative Feature Learning Network for Scene
Classification,
Neurocomputing, doi:10.1016/j.neucom.2015.01.043,
online on Feb.3, 2015.（SCI IF:5.719）
186. Feibin Yanga, Qinghua Huang, Lianwen
Jin, Alan Wee-Chung Liew, Segmentation and recognition of multi-model photo
event, NeuroComputing, 172(8):159-167,
2015.（SCI IF:5.719）
187. Dapeng
Tao, Lianwen Jin, Y. Wang, X. Li, Person Re-Identification by Minimum
Classification Error-Based KISS Metric Learning, IEEE Transactions on Cybernetics, 2015（SCI IF:11.448）
Conference Papers:
188. Zhuoyao Zhong, Lianwen Jin and Ziyong Feng,
Multi-font Printed Chinese Character Recognition using Multi-pooling
Convolutional Neural Network, ICDAR 2015.
189. Weixin Yang, Lianwen Jin and Manfei Liu,
Chinese Character-level Writer Identification using Path Signature Feature, DropStroke, and Deep CNN, ICDAR 2015.
190. Weixin Yang, Lianwen Jin, Zecheng Xie and Ziyong Feng, Improved
Deep Convolutional Neural Network For online
Handwritten Chinese Character Recognition using Domain-Specific Knowledge, ICDAR 2015.
191. Zhuoyao Zhong, Lianwen Jin and Zecheng Xie, High Performance Offline Handwritten Chinese Character
Recognition Using GoogLeNet and Directional Feature
Maps, ICDAR 2015.
192. Liquan Qiu, Lianwen Jin, Ruifen
Dai, Yuxiang Zhang and Lei Li, An Open SourceTesting Tool for Evaluating Handwriting Input
Methods, ICDAR 2015.
193. Meijun He, Shuye Zhang, Huiyun
Mao and Lianwen Jin, Recognition Confidence Analysis of Handwritten Chinese
Character with CNN, ICDAR 2015.
194. Duorui Xie, Lingyu
Liang, Lianwen Jin, Jie Xu, Mengru
Li, SCUT-FBP-A Benchmark Dataset for Facial Beauty Perception, IEEE SMC 2015
195. Yichao Huang, Xiaorui Liu, Lianwen Jin, Xin
Zhang, DeepFinger: A Cascade Convolutional Neuron Network
Approach to Finger Key Point Detection in Egocentric Vision with Mobile Camera,
IEEE SMC 2015
196. Lingyu
Liang, Deng Liu and Lianwen Jin, FaceMore: A Face Beautification Algorithm Platform on the
Cloud, IEEE SMC 2015
2014
Journal Papers:
197. Lingyu
Liang, Lianwen Jin, Xuelong Li, Facial Skin
Beautification Using Adaptive Region-Aware Masks, IEEE Transactions Cybernetics, vol.44, no.12,
pp2600 – 2612, 2014.（SCI IF:11.448）
198. Dapeng Tao, L. Jin et al. “Rank Preserving Discriminant Analysis
for Human Behavior Recognition on Wireless Sensor Networks,” IEEE Transactions on Industrial Informatics, vol.10,
no.1, pp813-823, 2014.（SCI IF:10.215）
199.
Dapeng Tao, Lianwen Jin, Shuye Zhang, Zhao Yang, Yongfei Wang, Sparse Discriminative Information
Preservation for Chinese Character Font Categorization, Neurocomputing （129）pp 159-167, 2014.（SCI IF:5.719）
200. Dapeng
Tao, Lianwen Jin, Similar
Handwritten Chinese Character Recognition by Kernel Discriminative Locality Alignment, Pattern Recognition
Letters， vol.35, no.1, pp186-194, 2014.（SCI IF:3.756）
201. 杨钊，金连文，陶大鹏，大数据下的基于深度神经网的相似汉字识别，《通信学报》，
2014 (in Chinese)
202. Qinghua Huang;
Xiao Bai;
Yingguang Li;
Lianwen Jin;
Xuelong Li，Optimized
graph-based segmentation for ultrasound images，Neurocomputing, 2014 (SCI JCR Q1)（SCI IF:5.719）
2013
Journal Papers:
203.
Xin
Zhang, Zhichao Ye , Lianwen Jin, Ziyong
Feng, A New Writing Experience: Finger Writing in the Air Using a Kinect
Sensor, IEEE Multimedia,
20(4), pp85-93, 2013. (SCI IF: 1. 767 )（SCI IF:5.633）
204.
Lingyu Liang, Lianwen Jin*, A New Face Relighting Method Based on
Edge-Preserving Filter， IEICE Trans. Information and Systems Vol.E96-D, No.12,pp.
2904-2907, 2013.（SCI IF:0.559）
205.
Huang,
Shuangping, Lianwen Jin*, Yuan Fang, Xiaoxin Wei. "Online Heterogeneous Feature Fusion
Machines for Visual Recognition." Neurocomputing
(2013), online on July 2, 2013.（SCI IF:5.719）
206.
D.
Tao, L. Jin, Z. Yang,
and X. Li, “Rank Preserving Sparse Learning for
Kinect based Scene Classification,” IEEE Transactions on Cybernetic, vol. 43, no. 5, pp. 1406-1417, 2013.（SCI IF:11.448）
207.
Dapeng
Tao, Lianwen Jin, Yongfei Wang, Yuan Yuan, and Xuelong Li, Person
Re-Identification by Regularized Smoothing KISS Metric Learning, IEEE Transactions On Circuits and
Systems for Video Technology,
vol.23, no.10, pp1675-1685, 2013.（SCI IF:4.685）
208. D. Tao, L. Jin, W. Liu, and X. Li., “Hessian
Regularized Support Vector Machines for Mobile Image Annotation on the Cloud,” IEEE Transactions on Multimedia,
vol. 15，no. 4, pp. 833-844, 2013.（SCI IF:6.513）
209. Qinghua Huang, Zhao Yang, Wei Hu, Lianwen Jin, Gang Wei, Tracking
in Freehand 3D Ultrasound System and Its Applications
to Phantoms and Real Human Tissues, IEEE Transactions SMC-C, vol.41, no.12, pp.1471-1482, 2013.（SCI IF:11.448）
Conference Papers:
210. Zhichao Ye, Xin Zhang, Lianwen Jin, Ziyong
Feng, Shaojie Xu, FINGER-WRITING-IN-THE-AIR SYSTEM
USING KINECT SENSOR, in Proc. IEEE ICME 2013
211. Shuye Zhang, Lianwen Jin+, Dapeng Tao, Zhao
Yang，A
faster method for Chinese font recognition based on Harris corner，in Proc. IEEE SMC 2013
212. Linyu Liang, Lianwen Jin, Image-Based Rendering for Ink Painting, in
Proc. IEEE SMC 2013.
213. Linyu Liang, Lianwen Jin, Facial Skin Beautification using
Region-Aware Mask, in Proc. IEEE SMC
2013.
214. Yan Gao, Lianwen Jin, Weixin Yang, An
Empirical Comparative Study of Online Handwriting Chinese Character
Recognition, ICDAR 2013.
2012
Journal Papers:
215. Dapeng
Tao, Lianwen Jin, Discriminative Information Preservation for Face Recognition,
Neurocomputing . 91: 11-20 , 2012.（SCI IF:5.719）
216. Xue Gao, Jinzhi Guo, Lianwen Jin,
Dimensionality Reduction by Locally Linear Discriminant Analysis for
Handwritten Chinese Character Recognition, IEICE TRANSACTIONS on Information and Systems Vol.E95-D
No.10 pp.2533-2543.（SCI IF:0.559）
217. Nanxi Li, Lianwen Jin, A Bayesian-based method of unconstrained
handwritten offline Chinese text line recognition，International Journal on Document Analysis
and Recognition, 2012.（SCI IF:2.085）
218. Li, X.T. Fan, L.S.
Jin Lianwen，Li, X.T. Fan, L.S. Jin Lianwen， Analytical density function
of sum of Gaussian noise and SαS interference，Electronics
Letters, 28（1）: 47 - 48，2012.（SCI IF:1.314）
219. Zheng SH, Huang QH*, Jin LW, and Wei G. Real-time Extended-Field-of-View ultrasound based on a standard PC. Applied Acoustics. 73 (4): 423-432, 2012.（SCI IF:2.639）
220. Qinghua
Huang, Suying Lee, Longzhong
Liu, Minhua Lu, Lianwen Jin and Anhua
Li，A Robust Graph-Based Segmentation
Method for Breast Tumors in Ultrasound Images，Ultrasonics，52（2）：266-275，2012.（SCI IF:2.890）
221. Xue Gao, Lianwen Jin, A Vision-based Fast Chinese Postal Envelope
Identification System, Journal
of Information Science and Engineering, 28(1):31-49, 2012.（SCI IF:0.440）
Conference Papers:
222. Lianwen Jin, Yang Xue,
Huiyun Mao, Hengzhi Zhang A
new weightlessness-like based fall detection algorithm for a single tri-axial
accelerometers, ICPR 2012.
223.
Yan Gao, Huiyun Mao, Lianwen Jin, Nanxi Li, Reduce the Storage of Incremental
MQDF Classifier for Chinese Writer Adaptation, ICPR 2012.
2011
Journal Papers:
224. Qinghua Huang, Dacheng Tao, Xuelong Li, Lianwen Jin, Exploiting Local Coherent Patterns for Unsupervised Feature
Ranking, IEEE Transactions on Systems, Man, and Cybernetics, vol.41, no.12, pp.1471-1482, 2011.
225. Yang Xue,
Lianwen Jin, Discrimination between Upstairs and Downstairs based on
Accelerometer, IEICE TRANSACTIONS on Information and Systems, Vol.E94-D,No.6,pp1173-1177, 2011.（SCI IF:0.559）
226. Lihua Guo, Lianwen Jin, Laplacian Support vector machines with
multi-kernel learning, IEICE
TRANSACTIONS on Information and Systems, vol. E94-D, no.2, pp379-383, 2011.（SCI IF:0.559）
227. Lianwen Jin, Yan Gao, et.al,
SCUT-COUCH2009----A Comprehensive Online Unconstrained Chinese
Handwriting Database andenchmark Evaluation, International Journal on Document Analysis
and Recognition (IJDAR), vol.14, no.1, pp53-64, 2011.（SCI IF:2.085）
228.
Qinghua Huang , Suying Lee, Longzhong
Liu, Minhua Lu, Lianwen Jin, Anhua
Li, A robust graph-based segmentation method for breast tumors in
ultrasound images, Ultrasonics, 2011.（SCI IF:2.890）
Conference Papers:
229. Kai Ding, Lianwen Jin, Gang Liu, Jinglian
Gao, Zhonghao Mei, Incremental learning of MQDF for
writer adaptation, ICIC Express Letters,
Part B: Applications (ICIC-ELB)，vol.2, no.1, pp25-30, 2011.
230. Shuangping Huang, Lianwen Jin，A New Multi-Label Scene Categorization Method Using Color
Incorporated Biologically Inspired Features and MIML SVM，ICIC Express Letters, Part B: Applications (ICIC-ELB), vol.2, no.2, pp287-293, 2011.
231. 薛洋，金连文, 一种基于加速度传感器的书写识别旋转特征提取方法, 模式识别与人工智能，vol.24, no.4, pp492-500, 2011. (in Chinese).
232. Xue Gao, Jinzhi Guo, and Lianwen Jin , A New Feature Optimization Method Based on
Two-directional 2DLDA For Handwritten Chinese Character Recognition, pp232-236,
ICDAR 2011.
233.
Dapeng Tao, Linyu
Liang, Lianwen Jin, Yan Gao, Similar Handwritten Chinese Character Recognition
using Discriminative Locality Alignment Manifold Learning, ICDAR 2011
234. Yan Gao, Lianwen Jin, Cong He, Guibin Zhou, Handwriting Character Recognition as a Service：A New Handwriting Recognition System Based on Cloud Computing, pp885-889, ICDAR 2011
235. Shuangping
Huang, Lianwen Jin, Online Heterogeneous Feature Fusion Machine for Visual
Recognition, ICDM Workshop on LSVA,
Dec.2011
Before 2010
236. Lianwen Jin，Kai Ding, Zhibin Huang,
Incremental Linear Discriminant Analysis for Writer-Adaptive Online Chinese
Handwriting Recognition, Neurocomputing 73(10):1614-1623, 2010.（SCI IF:2.890）
237. 毛慧芸，金连文，杜明辉，基于几何特征及C4.5的人脸美丽分类方法，模式识别与人工智能，vol.23,
no.6, pp809-814, 2010. (in Chinese)
238. Teng Long, Lianwen JIN, Building Compact MQDF Classifier
for Large Character Set Recognition by Subspace Distribution Sharing, Pattern Recognition vol.41, no.9, pp2916-2926, 2008.（SCI IF:7.740）
239. X.T. LI, J. SUN, L.W. JIN and M.
LIU. Bi-parameter CGM model for approximation of α-stable PDF. Electronics Letters, Vol.44,
Issue 18, August 2008, pp.1096-1097.（SCI IF:1.314）
240. 李旭涛，王首勇，金连文. 应用Alpha稳定分布对雷达杂波的辨识. 电子与信息学报， 2008，30(9)
:2042-2045. (in
Chinese)
241. Lianwen
Jin, Duanduan Yang, Li-Xin Zhen, Jian-Cheng Huang, A Novel
Vision based Finger-writing Character Recognition System, Journal of Circuit, System and Computer. Vol.16, no.3,
pp421-436.
242. Lianwen
JIN CaiHong CHEN, Li-Xin ZHEN, Jian-Cheng HUANG,
Real-Time Fingertip Detection From Cluttered Background for Vision-based HCI, Journal of Communication and Computer,
vol.2, no.9, pp1-8, 2005.
243. Hong-Bo
Deng, Lian-Wen Jin, Li-Xin Zheng, Jian-Cheng Huang, A New Facial Expression
Recognition Method Based on Local Gabor Filter Bank and PCA plus LDA, International Journal of Information
Technology. Vol.11, no.11. pp86-96, 2005..
244. Duan-Duan
Yang, Lian-Wen JIN, Facial Expression Recognition with Pyramid Gabor Features
and Complete Kernel Fisher Linear Discriminant Analysis，International Journal of
Information Technology, vol.11, no.9,
pp91-100, 2005.
245. 高学，徐睿,
金连文, 尹俊勋,
镇立新, 一种基于运动图像的在线手写汉字识别方法,
《电子学报》，vol.32,
no.8, pp1273-1276, 2004. (in Chinese)
246. 金连文，秦剑钊，基于Gabor方向特征及神经网络的车牌字符图像识别，《中国图像图形学报》，Vol.
8，Spec.,: 643-646, 2003 (in Chinese)
247. 高学,
金连文，尹俊勋，基于多通道PCA模型的手写汉字识别方法，《中国图像图形学报》，Vol.8,
No7, pp.788-791, 2003 (in Chinese)
248. 金连文，黄建成，尹俊勋，变形变换及其在手写体汉字整形中的应用，《中国图像图形学报》，Vol.7,
No.2, pp.170-175, 2002 (in Chinese)
249. 高学，金连文，尹俊勋，黄建成，一种基于支持向量机的手写汉字识别方法,《电子学报》，vol.30,
no.5, pp651－654，2002
(in Chinese)
250. 高学,
金连文，尹俊勋，基于笔划密度的弹性网格特征提取方法《模式识别与人工智能》，vol.15,
no.3, pp.351-354, 2002 (in Chinese)
251. Lianwen
JIN, Gang Wei, Handwritten Chinese Character Recognition with Directional
Decomposition Cellular Features, Journal of Circuit, System and Computer,
Vol.8, No.4, pp.517-524, 1999.（SCI IF:1.333）
252. 金连文,
徐秉铮, 限定性手写体汉字识别的一种可变形弹性匹配模型,
《电子学报》，vol.25, no.5, pp35-38,
1997 (in Chinese)
253. 金连文,
徐秉铮,“基于多级神经网络结构的手写体汉字识别，《通信学报》，vol.18，no.5,
pp21-27, 1997 (in Chinese)
254. Shuangping
Huang, Lianwen Jin, ENHANCED VISUAL CATEGORIZATION PERFORMANCES BY
INCORPORATION OF SIMPLE FEATURES INTO BIM FEATURES, ICIP 2010
255. Hanyu
Yan, Lianwen Jin, Christian Viard-Gaudin, Harold Mouchère,SCUT-COUCH2009-TL:
An Unconstrained Online Handwritten Chinese Text Lines Dataset, ICFHR 2010.
256. Gang
Liu, Lianwen Jin, Kai Ding, Hanyu Yan, A new approach
for synthesis and recognition of large scale handwritten Chinese words, ICFHR 2010
257. Kaiding,
Lianwen Jin, Incremental MQDF Learning for Writer Adaptive Handwriting
Recognition, ICFHR 2010.
258. ang Bai, Lihua Guo, Lianwen Jin, Qinghua Huang, A NOVEL FEATURE EXTRACTION METHOD USING
PYRAMID HISTOGRAM OF ORIENTATION GRADIENTS FOR SMILE RECOGNITION, IEEE ICIP , 2009
259. Zhibin Huang, Kai Ding, Lianwen Jin, Xue Gao,
Writer Adaptive Online Handwriting Recognition Using Incremental Linear
Discriminant Analysis, pp91-95, ICDAR
2009.
260. Kai Ding, Guoqiang Deng, Lianwen
Jin, An Investigation of Imaginary Stroke Technique for Cursive Online
Handwriting Chinese Character Recognition, pp531-535, ICDAR 2009
261. Zhiyi Zhang, Lianwen Jin, Kai Ding, Xue Gao,
Character-SIFT: a novel feature for offline handwritten Chinese character
recognition, pp763-767, ICDAR 2009
262. Weiping Xia, Lianwen Jin，A Kai Style Calligraphic Beautification Method for Handwriting
Chinese Character,pp798-802, ICDAR
2009
263. Shengming Huang, Lianwen Jin, Jin Lv, A Novel
Approach for Orienta- tion
Free Chinese Character Recognition, pp1136-1140, ICDAR 2009
264. Kai Ding, Lianwen Jin, Xue Gao, A New
Method for Rotation Free Online Unconstrained Handwritten Chinese Word
Recognition A Holistic Approach, International
Conference on Document Analysis and Recognition, pp1131-1135, ICDAR 2009
265. Liu
ZhiBin, Jin Lianwen, LatticeSVM---A
New method for Multi-class support Vector Machines, Proceedings of IEEE IJCNN,vol.1,
pp727-733, Hongkong, 2008.6.
266. Teng
Long, Lianwen Jin, A Novel Orientation Free Method for Online
Unconstrained Cursive Handwritten Chinese Word Recognition, ICPR2008, Dec.
2008.
267. Xinghua
Zhu, Lianwen Jin, Calligraphic Beautification of Handwritten Chinese
Characters: A Patternized Approach to Handwriting
Transfiguration, in Proceedings of International Conference on Frontier on
Handwriting Recognition (ICFHR 2008), Aug. 2008-10-25 (EI)
268. YunYang
Li, Lianwen Jin, Xinhua Zhu, Teng Long, SCUT-COUCH2008: A Comprehensive Online
Unconstrained Chinese Handwriting Dataset, in Proceedings of International
Conference on Frontier on Handwriting Recognition (ICFHR2008) (EI)
269. Zhenyu
He, Zhibin Liu, Lianwen Jin, Weightlessness Feature —
A Novel Feature for Single Tri-axial Accelerometer, ICPR 2008, Dec.2008.
270. DangDang
YANG, Lianwen JIN, Kernel Modified Quadratic Discriminant Function for Online
Handwritten Chinese Characters Recognition, ICDAR 2007
271. Teng
Long, Lianwen JIN, Building Compact MQDF Classifier for Off-line Handwritten
Chinese Characters by Subspace Distribution Sharing, ICDAR 2007
272. DangDang
YANG, Lianwen JIN, Handwritten Chinese Character Recognition Using Modified LDA
and Kernel FDA, ICDAR 2007
273. Lianwen
JIN, XiaoNa ZU, Synthesis of Chinese Character sing
Affine Transformation, ICDAR 2007
274. DangDang
YANG, Lianwen JIN, Li-Xin Zhen, Jian-Cheng Huang l, Finger-Written Chinese
Characters Rcognition using Hierarchical LDA, ICDAR 2007
275. Lianwen Jin, Duanduan Yang, Li-Xin Zhen, Jian-Cheng Huang, A Novel Vision
based Finger-writing Character Recognition System, ICPR
2006
276. Teng LON G, Lianwen Jin,
Li-Xin Zheng, Jian-Cheng
Huang, ONE STROKE CURSIVE CHARACTER RECOGNITION USING COMBINATION OF
DIRECTIONAL AND POSITIONAL FEATURES, ICASSP 2005.
277. Teng LONG, Lianwen Jin,
Hybrid Recognition of One
Stroke Style Cursive Handwriting
Characters, ICDAR 2005.
278. Xue Gao, Lian-Wen Jin, Jun-Xun Yin, Jian-Cheng Huang，A New Stroke-Based Directional Feature Extraction Approach for Handwritten Chinese Character Recognition, ICDAR 2001.
(Note: The impact factors for most publications before 2021
use the metrics from JCR 2020/2021)
Awards
1.
New Century Excellent Talent Program of MOE,
China, 2006.1
2.
Guangdong Pearl River
Distinguished Professor, 2011.8
3.
The First prize of Guangdong
Science and Technology Progress Award, 2012.3
4.
The Second prize of Guangdong
Science and Technology Progress Award, 2017.1
5.
The Second prize of Guangdong Science and Technology Progress Award,
2018.2
6.
Winner of CVPR 2016 VIVA HAND
Challenge
7.
Winner of ICDAR 2017 MLT
Competition Task 1
8.
Winner of ICDAR 2017 MLT
Competition Task 3
9.
Winner of ICFHR 2018 Thai Student
Signature and Name Component Recognition and Verification Competition
10.
Winner of ICDAR 2019
ICDAR-HDRC-IR Competition
11.
Winner of ICDAR 2019
ICDAR-HDRC-Chinese Competition Task1
12.
Winner of ICDAR 2019
ICDAR-HDRC-Chinese Competition Task2
13.
Winner of ICDAR 2019
CDAR-HDRC-Chinese Competition Task3
14.
Winner of ICDAR 2019 ICDAR-ReCTS Competition Task2
15.
Winner of ICDAR 2019 ICDAR-ReCTS Competition Task3
16.
Winner of ICDAR 2019 ICDAR-SROIE
Competition Task 2
17.
Winner of ICFHR 2020 SASIGCOM
Competition
18.
Winner of ICPR 2020
Chart-Infographics Competition Task1, Task2, Task3, Task4, Task6, and
End-to-end Task.
19.
Winner of ICDAR 2021 Competition
on On-Line Signature Verification (CDAR-2021-SVC)
Chinese Patents
1、
金连文，龙腾，“一种手写文字识别方法”，发明专利，授权号：ZL200510033175.3，申请日期：20050208，授权日期：2007年5月9日
2、
金连文，陈东明，“一种含书写时序信息的动态汉字字库的处理方法及应用”，发明专利，授权号：ZL200410051504.2，申请日期：20040917，授权日期：2007年12月12日.
3、
金连文，倪天龙，龙腾，陈东明，多媒体汉字电子描红本，发明专利，授权号：ZL200410051821.4，申请日期：20050107，授权日期：2008年6月18日。
4、
金连文，高学，张彬，何智杰，一种邮政信封自动识别系统及其识别方法，发明专利，授权号：ZL200610124242.7，申请日期：20061215，授权日期：2008.10.22
5、
金连文，高学，张彬，何智杰，一种邮政信封自动识别系统，发明专利，授权号：ZL200620154802.9，申请日期：20061215，授权日期：2008.04.30
6、
金连文，俎小娜，基于最优全局仿射变换的汉字合成实现方法；发明专利，授权号：ZL20071 0029079.0，申请日期：20070709， 授权日期：2009年8月26日。
7、
金连文，龙腾，“具备认字、写字功能的教育机器人的文字识别方法”，发明专利，授权号：ZL200610124243.1申请日期：20061215， 授权日期：2009年11月11日。
8、
金连文，郭锐，一种基于笔矢量特征的联机手写中文词组切分方法；专利号：ZL2008100294211，申请日期：2008.8.29；授权日期：2010年2月3日。
9、
金连文，龙腾，一种中文词组识别方法；专利号：ZL2008100290085，申请日期：2008.6.25；授权日期：2010年6月9日。
10、
金连文，李旭涛，等，一种基于视频的人脸美丽评价方法，专利号：ZL2008100294226,申请日期：2008.7.11，授权日期：2010.06.09
11、
金连文，朱星华，一种手写汉字美化方法；专利号：ZL2008100289162，申请日期：2008.8.8, 授权日期：2010.9.1
12、
金连文，张志毅，丁凯，一种用于手写汉字识别的图像特征提取方法，授权号：ZL200810220334.4，申请日期:2008.12.4, 授权日期：2010.12.29.
13、
金连文，丁凯，严汉羽，一种基于可见光检测的虚拟文字识别方法，授权号：ZL200810029420.7，申请日期:2008.7.11, 授权日期：2011.6.15.
14、
金连文，邓国强，一种用于联机手写汉字识别的汉字笔画特征串行提取方法，授权号：ZL200910041046.7，
申请日期：2009.07.10，授权日期：2011.08.17。
15、
金连文，邓国强，一种用于联机手写汉字识别的汉字笔画特征提取方法，授权号：ZL200910041047.1，
申请日期：2009.07.10，授权日期：2011.08.31。
16、
金连文，邓国强，一种用于联机手写汉字识别的汉字笔画特征并行提取方法，授权号：ZL200910041045.2，
申请日期：2009.07.10，授权日期：2011.09.10。
17、
金连文，黄志斌，一种用于手写汉字识别的用户书写风格自适应方法，授权号：ZL200910042117.5，
申请日期：2009.08.25，授权日期：2011.09.14。
18、
金连文，高岩，一种基于置信度的汉字书写质量评价方法，授权号：ZL200910042118.X，
申请日期：2009.08.25，授权日期：2011.09.28。
19、
金连文，朱星华，毛慧芸，一种手写汉字美化中模拟书法拖笔效果的方法，ZL200910193478.X，授权日期：2011.11.02。
20、
金连文，朱星华，毛慧芸，一种手写汉字美化的骨架变换方法，申请日期：2009.10.30，授权号：ZL 200910193514.2. 授权日期：2012.02.01。
21、
金连文，丁凯，“一种旋转无关的手写中文草书词组识别方法”，专利号：ZL200910192675.X，证书号：，
申请日期：2009.09.25，授权日期：2012.08.22.
22、
金连文，黄盛明，吕锦，一种旋转方向无关的手写汉字识别方法，专利号：ZL200910192677.9，证书号：第959439号，申请日期：2009.09.25， 授权日期：2012.05.30。
23、
金连文，朱星华，毛慧芸，一种基于轨迹分析的手写汉字的美化方法，专利号：ZL200910193516.1,证书号：第974577号，申请日期：2009.10.30， 授权日期：2012.06.20.
24、
金连文，朱星华，毛慧芸，“一种手写汉字美化的笔画渲染方法”，专利号：ZL200910193515.7，证书号：，申请日期：2009.10.30， 授权日期：2012.09.05.
25、
金连文，梁凌宇，刘志斌，何振宇，一种基于加速度传感器的失重特征提取方法，专利号：ZL201019050021.3， 证书号：第2005827号，申请日期：2010.02.02， 授权日期：2012.07.18.
26、
金连文，薛洋，一种基于加速度传感器的手势识别的旋转特征提取方法，专利号：ZL201010204591.6，
证书号：第979191号，申请日期：20100618，授权日期：20120627，
27、
金连文，薛洋，一种基于加速度传感器的手势识别方法，专利号：ZL201010204587.X，证书号：第1028631号。申请日期：20100618，授权日期：20120822。
28、
金连文，薛洋，“一种应用于手势识别的旋转特征码的距离测度方法”，专利号：ZL201010204595.4，证书号：，申请日期：2010.06.18，授权日期：2012.12.26.
29、
郭礼华，金连文，“一种聚类线性鉴别分析特征选择的笑脸表情识别方法”，专利号：ZL201110122941.9，证书号：，申请日期：2011.05.13，授权日期：2013.01.23.
30、
金连文，刘岗，丁凯，“一种使手写汉字识别引擎能动态适应用户书写风格的方法”，专利号：ZL201110108782.7，证书号：，申请日期：2011.04.28，
授权日期：2013.03.20。
31、
金连文，刘岗，丁凯，“一种基于加权鉴别子空间的增量二次鉴别函数的自适应方法”，专利号：ZL201110108770.4，证书号：，申请日期：2011.04.28，
授权日期：2013.07.10.
32、
黄庆华，郑硕鹤，金连文，韦岗，“一种医学超声宽景成像中的旋转判断及误差纠正方法”，专利号：ZL 201110139790.8，证书号：，申请日期：2011.05.27，
授权日期：2013.04.17.
33、
金连文，刘岗，丁凯，“一种基于鉴别子空间的增量二次鉴别函数书写者自适应方法”，专利号：ZL201110108773.8，证书号：，申请日期：2011.04.28，
授权日期：2014.04.02.
34、
黄庆华，郑硕鹤，金连文，韦岗，“一种医学超声宽景成像中的旋转判断及误差纠正方法”，专利号：ZL 201110139790.8，证书号：，申请日期：2011.05.27，
授权日期：2013.04.17.
35、
冼启源;金连文;李天豪;麦松涛;梁康楠， 一种强扩展性的嵌入式开发板，申请日期：2011.4.28，授权日期：2014.05.07， 专利号：ZL 201110108771.9。
36、
丁祖春，金连文，郭礼华，一种分布式无线Ad Hoc网络认证方法，专利号：ZL 201110121144.9, 授权日期：2015.03.11
37、
金连文，李磊，一种云计算弹性资源预测及构建方法，专利号：ZL
201310153762.0, 证书号：第1924541号；申请日期：2013.4.27， 授权日期：2016.1.20.
38、
金连文，叶植超，张鑫，一种基于Kinect的手写方法，授权公告号：CN103226388B，专利号：ZL201310118074.0。申请日期：2013.4.7，授权公告日：2016.05.04
39、
金连文，叶植超，张鑫，基于Kinect的视频手指尖定位方法，授权证书号：第2121465号 ，专利号：ZL 201310118060 .9。申请日期：2013.4.7，授权公告日：2016.06.22
40、
金连文，叶植超，张鑫，基于Kinect的视频手指尖定位方法，授权公告号：第2130659号，专利号：ZL 201310118064.7。申请日期：2013.4.7，授权公告日：2016.06.29
41、
金连文，黎德生，李磊，一种OpenStack云平台异常的处理方法，授权公告号：第2322748号，专利号：ZL 201310153700.X。申请日期：2013.4.27，授权公告日：2016.12.28
42、
金连文，陶大鹏，王永飞，一种大数据图像分类方法，授权公告号：第2259246号，专利号：ZL 201310432630.1。申请日期：2013.9.22，授权公告日：2016.10.5
43、
陶大鹏，金连文，黎小风，一种基于加速度计的人体行为识别方法，授权公告号：第2327764号，专利号：ZL 201310428353.7。申请日期：2013.9.18，授权公告日：2017.1.4
44、
金连文, 毛慧芸; 朱武林; 廖文鑫; 张鑫，人脸特效处理方法以及系统, 申请日期：2012.11.16，专利号：ZL 2012104657672, 授权公告号：CN103824269B,授权公告日：2017.03.29
45、
金连文，陶大鹏，王永飞，一种基于云计算的手机图像标注方法，申请日期：2013.09.29，专利号：ZL 201310455285.3, 授权公告日：2017.4.19
46、
薛洋; 刘龙坡; 金连文, 一种基于加速度传感器的实时步长估计方法，申请日期：2014.04.29，专利号：ZL 201410179119.X, 授权公告号：CN103983273B,授权公告日：2017.06.06
47、
薛洋; 胡耀全; 金连文, 一种用于人体动作识别的三轴特征融合方法，申请日期：2014.04.29，专利号：2014101791166, 授权公告号：CN103984921B,授权公告日：2017.06.06
48、
薛洋; 胡耀全; 金连文, 用于运动识别的聚类特征融合方法和装置，申请日期：2014.06.12，专利号：2014102615477, 授权公告号：CN104021295B,授权公告日：2017.06.06
49、
金连文; 曾伟铭; 陈露开, 一种复杂曲线的Bezier拟合方法，申请日期：2014.09.19，专利号：ZL 201410484142.X, 授权公告日：2017.08.25
50、
金连文; 曾伟铭; 陈露开, 一种手写汉字的实时轮廓美化方法，申请日期：2014.09.19，专利号：ZL 201410484141.5, 授权公告号：CN104268915B,授权公告日：2017.08.25
51、
金连文，郭礼华; 薛洋; 李辰成; 吴忠泽，人体运动姿态识别方法和移动终端，申请日期：2013.07.19，专利号：ZL 201310307180.3, 授权公告日：2017.11.28
52、
黄双萍; 金连文; 黎小凤，一种基于改进的引导滤波器的人脸图像图层分解方法，申请日期：2015.11.30，专利号：ZL 201510862964.1, 授权公告号：CN105469407B，授权公告日：2018.06.22
53、
高学; 金连文，一种基于OCR的票据自动识别与处理系统，申请日期：2016.01.31，专利号：ZL 201610070970.8, 授权公告号：CN105528604B，授权公告日：2018.12.11。
Academic Services
- Chair of IEEE Signal
Processing Society Guangzhou Chapter (2014-2016)
- Executive Council member of China Society of Image & Graphics (CSIG)
- Chair of Technical Committee of Document Image Analysis and Recognition,
China Society of Image & Graphics
- Vice Chair of Guangdong Image & Graphics
Council
- Member of Technical Committee of
Computer Vision, China Computer Federation
- Member of Technical Committee of
Human Computer Interaction, China Computer Federation
- Member of Technical Committee
of Pattern Recognition, China Association for Artificial Intelligence (CAAI)