Jun Wang

Jun Wang

AI Platform

About

I am currently an expert algorithm researcher of PingAn AI Platform Team, leading the innovation team and fundamental research. I obtain my Ph.D. at Peking University in 2016.

Email: junwang.deeplearning@gmail.com.

Work Experience

2016-2018, Research scientist at IBM Research, Beijing, China.

2015-2015, Visiting Scholar at ETH Zurich, with Dr. Emmanuel Baltsavias @ Konrad Schindler’s Group, Zurich, Switzerland.

2011-2012, Assistant Software Engineer at Institute of Software, Chinese Academy of Sciences, Beijing, China.

Achievement

Published 50+ papers in deep learning and related fields (including IJCAI, BMVC, NeuroComputing, Pattern Recognition, BIB, EJMC, IEEE GRSL, WWW, Remote Sensing, etc.)

Applied for 120+ patents of invention in AI (20 granted patents).

Served as Reviewer for multiple journals and conferences.

Won the Outstanding Technical Achievement Award at IBM, National Scholarship at PKU, Basketball Champion at PKU-SESS, Anual Top 20 staff at PATech.

Numerous Winner of AI Competition: MIT AI-cure-2020, VQA-2021, EAD-2019, AI-Challenger-2018, TREC-2020, SemEval-2022.

🔥 News

  • 2023.10: “Hierarchical visual-semantic interaction for scene text recognition” published on Information Fusion, IF:16.8, cooperation work with PAPCIC, Huawei and Beihang University.
  • 2023.09: obtained 21 authorized national invention patents.
  • 2023.05: “Improving drug-target affinity prediction via feature fusion and knowledge distillation” published on BIB (Briefings in Bioinformatics, IF:14.0), cooperation work with Lanzhou University and Xidian University.
  • 2023.03: “Development, validation, and evaluation of a deep learning model to screen CDK12 inhibitors in cancers” published on EJMC (European Journal of Medicinal Chemistry, IF:7.4), cooperation work with National Cancer Center / Chinese Academy of Medical Sciences.

📝 Publications

[IF’23] Liang Diao, Xin Tang, Jun Wang, Guotong Xie, Junlin Hu. Hierarchical visual-semantic interaction for scene text recognition, Information Fusion, 2023 (SCI, IF:16.8)

[ACS’23] Shuoyan Tan, Jun Wang, Peng Gao, Guotong Xie, Qianqian Zhang, Huanxiang Liu, Xiaojun Yao. Unveiling the Selectivity Mechanism of Type-I LRRK2 Inhibitors by Computational Methods: Insights from Binding Thermodynamics and Kinetics Simulation, ACS Chemical Neuroscience, 2023. (SCI，IF:5.8)

[BIB’23] Ruiqiang Lu*, Jun Wang*, Pengyong Li, Yuquan Li, Shuoyan Tan, Yiting Pan, Huanxiang Liu, Peng Gao, Guotong Xie, Xiaojun Yao. Improving drug-target affinity prediction via feature fusion and knowledge distillation, Briefings in Bioinformatics, 2023. (SCI，IF:14.0)

[EJMC’23] Tingyu Wen*, Jun Wang*, Ruiqiang Lu, Shuoyan Tan, Pengyong Li, Xiaojun Yao, Huangxiang Liu, Zongbi Yi, Peng Gao, Haili Qian, Guotong Xie, Fei Ma. Development, validation, and evaluation of a deep learning model to screen cyclin-dependent kinase 12 inhibitors in cancers, European Journal of Medicinal Chemistry, 2023. (SCI，IF:7.1)

[ACS’23] Shuoyan Tan, Ruiqiang Lu, Dahong Yao, Jun Wang*(corresponding), Peng Gao, Guotong Xie, Huanxiang Liu, Xiaojun Yao*. Identification of LRRK2 Inhibitors through Computational Drug Repurposing, ACS Chemical Neuroscience, 2023. (SCI，IF:5.8)

[ICASSP’23] Xiaorui Wang, Jun Wang*(corresponding), Xin Tang, Peng Gao, Rui Fang, Guotong Xie*. Filter Pruning via Filters Similarity in Consecutive Layers, International Conference on Acoustics, Speech and Signal Processing, 2023. (CCF-B)

[BMVC’22] Liang Diao*, Xin Tang*, Jun Wang, Rui Fang, Guotong Xie, Weifu Chen. Visual-Semantic Transformer for Scene Text Recognition, The 33rd British Machine Vision Conference, 2022. (CCF-C)

[BMVC’22] Bingcong Li*, Xin Tang*, Jun Wang, Liang Diao, Rui Fang, Guotong Xie, Weifu Chen. Parallel and Robust Text Rectifier for Scene Text Recognition, The 33rd British Machine Vision Conference, 2022. (CCF-C)

[ISWC’22] Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie. HCL: Improving Graph Representation with Hierarchical Contrastive Learning, International Semantic Web Conference, 2022. (CCF-B)

[JCO’22] Tingyu Wen, Lixi Li, Yiqun Li, Jun Wang, Peng Gao, Guotong Xie, Fei Ma. A deep learning approach to discover cyclin-dependent kinases 12 (CDK12) inhibitors in breast cancer, American Society of Clinical Oncology, 2022.

[arxiv’22] Yixuan Qiao, Hao Chen, Jun Wang, Tuozhen Liu, Xianbin Ye, Xin Tang, Rui Fang, Peng Gao, Wenfeng Xie, Guotong Xie. PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking, arXiv preprint arXiv:2205.11245, 2022.

[NAACL’22] Changyu Hou, Jun Wang*(corresponding), Yixuan Qiao, Peng Jiang, Peng Gao, Guotong Xie, Qizhi Lin, Xiaopeng Wang, Xiandi Jiang, Benqi Wang, Qifeng Xiao. SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models, arXiv preprint arXiv:2205.14660, 2022. (NAACL Workshop on SemEval 2022)

[ACS’22] Shuoyan Tan, Qianqian Zhang, Jun Wang, Peng Gao, Guotong Xie, Huanxiang Liu, Xiaojun Yao. Molecular Modeling Study on the Interaction Mechanism between the LRRK2 G2019S Mutant and Type I Inhibitors by Integrating Molecular Dynamics Simulation, Binding Free Energy Calculations, and Pharmacophore Modeling, ACS Chemical Neuroscience, 2022. (SCI，IF:5.8)

[PR’22] Xian-bin Ye, Quanlong Guan, Weiqi Luo, Liangda Fang, Zhao-Rong Lai, Jun Wang. Molecular substructure graph attention network for molecular property identification in drug discovery, Pattern Recognition, 2022. (SCI，IF:8.5)

[arxiv’22] Jun Wang, Zhoujing Li, Yixuan Qiao, Qiming Qin, Peng Gao, Guotong Xie. Superpixel-Based Building Damage Detection from Post-earthquake Very High Resolution Imagery Using Deep Neural Networks, arXiv preprint arXiv:2112.04744, 2022.

[WWW’21] Xianbin Ye, Ziliang Li, Fei Ma, Zongbi Yi, Jun Wang*(corresponding), Pengyong Li, Peng Gao, Guotong Xie. CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer, The Web Conference 2021, Workshop on Graph Learning Benchmarks, 2021.

[BIB’21] Pengyong Li, Jun Wang*(corresponding), Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song. An effective self-supervised framework for learning expressive molecular global representations to drug discovery, Briefings in Bioinformatics, 2021. (SCI，IF:14.0)

[IJCAI’21] Pengyong Li, Jun Wang(co-fisrt author),Yixuan Qiao, Peng Gao, Seng Song, Guotong Xie. Pairwise Subgraph Discrimination: Self-supervised Strategy for Graph-level Representation Learning, IJCAI, 2021. (Top AI conference, CCF-A, rate 13.9%)

[arxiv’21] Pengyong Li, Jun Wang*(corresponding), Peng Gao, Seng Song, Guotong Xie. Learn molecular representations from large-scale unlabeled molecules for drug discovery, arXiv, 2021.

[TextVQA’21] Yixuan Qiao, Hao Chen, Jun Wang, Yihao Chen, Xianbin Ye, Ziliang Li, Xianbiao Qi, Peng Gao, Guotong Xie. Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model, arXiv preprint arXiv:2106.15332, 2021. (Winner at TextVQA 2021)

[NeuroComputing’20] Jun Wang(co-fisrt author), Zhang cheng, Gao Peng, Xie Guotong, He Jian. Automated Vertebral Landmarks and Spinal Curvature Estimation using Non-directional Part Affinity Fields. NeuroComputing, 2020. (SCI, IF: 5.8)

[TREC’20] Yixuan Qiao, Hao Chen, Liyu Cao, Liping Chen, Pengyong Li, Jun Wang, Peng Gao, Yuan Ni, Guotong Xie. PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking. TREC, 2020. (Winner)

[BMVC’20] Jun Wang*, Wen Shaoguo*, Gao Peng, Xie Guotong. Semi-supervised Active Learning for Medical Instance Segmentation via Scoring Predictions. BMVC, 2020. ( Top CV conference, rate 29%)

[ISBI’20] Suhui Yang, Xia Zhou, Jun Wang, Peng Gao, Guotong Xie. Unsupervised Domain Adaptation for Cross-Device OCT Lesion Detection via Learning Adaptive Features. International Symposium on Biomedical Imaging (ISBI), 2020.(EI)

[GRSL’17] Xin Ye, Mingchao Liu, Jun Wang, Qiming Qin, Huazhong Ren. Building-based damage detection from postquake image using multiple-feature analysis. IEEE Geoscience and Remote Sensing Letters, 2017. (SCI，IF: 5.3)

[RSTA’16] Jun Wang, Qiming Qin, Xin Ye, Jianhhua Wang, Xuebin Qin, Xiucheng Yang. A Survey of Building Extraction Methods from Optical High Resolution Remote Sensing Imagery. Remote Sensing Technology and Application. 2016.

[ES’16] Xin Ye, Jun Wang, Qiming Qin. Damaged building detection based on GF-1 satellite remote sensing image: A case study for Nepal MS8.1 earthquake, Earthquake Science, 38(3): 477-485, 2016.

[ICPR’16] Xuebin Qin, M Jagersand, Xiucheng Yang, Jun Wang. Building facade recognition from aerial images using Delaunay Triangulation induced feature perceptual grouping. ICPR, 2016.

[IAPRS’16] Jun Wang, Xin Ye, Qiming Qin. A Progressive Feedback Strategy to Jointly Combine Remote Sensing Image Segmentation and Object Recognition. IAPRS, 2016. (EI).

[GRSL’16] Xiucheng Yang, Jun Wang, Xuebin Qin, Qiming Qin. A rapid matching approach for large-scale urban imagery. IEEE Geoscience and Remote Sensing Letters, 2016. (SCI，IF: 5.3)

[GRSM’15] Xiucheng Yang, Jun Wang, Xuebin Qin, Xin Ye. Fast urban aerial image matching based on rectangular building extraction. IEEE Geoscience and Remote Sensing Magazine 2015, 3(4), 21-27. (SCI，IF: 13.9)

[RS’15] Xiucheng Yang, Xuebin Qin, Jun Wang, Xin Ye, Qiming Qin. Building Façade Recognition Using Oblique Aerial Images. Remote Sensing. 2015: 8: 10562-10588. (SCI，IF：5.3)

[BSM’15] Xin Ye, Jun Wang, Qiming Qin, Jianhua Wang. Relief tent detection from high-resolution remote sensing image based on mathematical morphology and multi-angle template matching. Bulletin of Surveying and Mapping, 1(86), 2015.

[IGARSS’15] Jun Wang, Qiming Qin, Zhoujing Li, Xin Ye, Jianhua Wang, Xiucheng Yang, Xuebin Qin. Deep hierarchical representation and segmentation of high resolution remote sensing images. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015. (EI / ISTP)

[GRSL’14] Jun Wang, Xiucheng Yang, Xuebin Qin, Xin Ye, Qiming Qin. An Efficient Approach for Automatic Rectangular Building Extraction from Very High Resolution Optical Satellite Imagery. IEEE Geoscience and Remote Sensing Letters, 2014, 12(3):487-491. (SCI，IF: 5.3)

[IJRS’14] Chao Chen, Qiming Qin, Ning Zhang, Jun Li, Li Chen, Jun Wang, Xuebin Qin, Xiucheng Yang. Extraction of bridges over water from high-resolution optical remote-sensing images based on mathematical morphology. International Journal of Remote Sensing, 2014, 35(10). (SCI，IF: 3.5)

[IGARSS’14] Jun Wang, Xuebin Qin, Xiucheng Yang, Zhongling Gao, Qiming Qin. Hyperspectral Predicting Model of Soil Salinity in Tianjin Costal Area Using Partial Least Square Regression. IEEE IGARSS, 2014: 3251-3254. (EI / ISTP)

[IGARSS’14] Jun Wang, Qiming Qin, Xin Ye, Zhongling Gao. Hierarchical Feature Representation of Geospatial Objects Using Morphological Pyramid Exploitation. IEEE IGARSS, 2014: 1789-1792. (EI / ISTP)

[IGARSS’14] Xin Ye, Qiming Qin, Mingchao Liu, Jun Wang, Jianhua Wang. Building damage detection from post-quake remote sensing image based on fuzzy reasoning. IEEE IGARSS, 2014: 529-532. (EI / ISTP)

[IGARSS’13] Jun Wang, Qiming Qin, Li Chen, Xin Ye, Xuebin Qin. Automatic Building Extraction from Very High Resolution Satallite Imagery Based on Line Segment Detection. IEEE IGARSS, 2013: 212-215. (EI / ISTP)

[IGARSS’13] Jun Wang, Zhoujing Li, Xuebin Qin, Xiucheng Yang, Qiming Qin, Ning Zhang. Research on Dynamic Evolution of Soil Salinization in Tianjin Costal Area Using Remote Sensing. IEEE IGARSS, 2013: 3325-3328. (EI / ISTP)

📝 Patents

[Patent] Object statistical method, device, equipment and storage medium based on image procossing CN-110298817-A 2019/10/1

[Patent] Medical image sample screening method and device, computer equipment and storage medium CN-111666993-A 2020/9/15

[Patent] Method, device and equipment for optimizing loss function and storage medium CN-111738408-A 2020/10/2

[Patent] Visualization method and device for multi-source earth observation image processing, and storage medium WO-2020206914-A1 2020/10/15

[Patent] Superobject information-based remote sensing image target extraction method, device, electronic apparatus, and medium WO-2020232905-A1 2020/11/26

[Patent] Fundus oct picture-based lesion extraction method, apparatus and device, and storage medium WO-2020252900-A1 2020/12/24

[Patent] Model compression method and device, computer equipment and storage medium CN-112132278-A 2020/12/25

[Patent] Example segmentation model sample screening method and device, computer equipment and medium CN-112163634-A 2021/1/1

[Patent] Drug molecule generation method, device, terminal device and storage medium CN-112309510-A 2021/2/2

[Patent] Cell classification method and apparatus, medium and electronic device WO-2021051875-A1 2021/3/25

[Patent] Data communication method, key management system, device, and storage medium CN-112671733-A 2021/4/16

[Patent] Model training method, calling method, device, computer equipment and storage medium CN-112734034-A 2021/4/30

[Patent] Image sample selection method and related apparatus WO-2021135330-A1 2021/7/8

[Patent] Method, device, equipment and storage medium for predicting interaction between medicine and target CN-113160894-A 2021/7/23

[Patent] Medical image classification method and apparatus, and medium and electronic device WO-2021147217-A1 2021/7/29

[Patent] Graph neural network processing method and device, computer equipment and storage medium CN-113240071-A 2021/8/10

[Patent] Image layering superpixel segmentation method and system, electronic device and storage medium CN-113240685-A 2021/8/10

[Patent] Medicine classification method and apparatus, terminal device, and storage medium WO-2021159744-A1 2021/8/19

[Patent] Method, device, equipment and storage medium for predicting curative effect of medicine based on deep learning CN-113299339-A 2021/8/24

[Patent] Method and system for selecting augmentation strategy for image data WO-2021164228-A1 2021/8/26

[Patent] Method and device for selecting sample image, storage medium and server WO-2021169301-A1 2021/9/2

[Patent] Medical image generation method and apparatus, electronic device and medium WO-2021184576-A1 2021/9/23

[Patent] Raw speech-based voiceprint recognition method, device, apparatus, and storage medium WO-2021217978-A1 2021/11/4

[Patent] Voiceprint recognition method and apparatus, and device and storage medium WO-2021217979-A1 2021/11/4

[Patent] Method, device and equipment for predicting properties of small drug molecules based on self-supervision learning CN-113707235-A 2021/11/26 [Patent] Image instance labeling method based on artificial intelligence and related equipment CN-113705687-A 2021/11/26

[Patent] Method, device and equipment for predicting properties of small drug molecules based on graph neural network CN-113707236-A 2021/11/26

[Patent] Method and device for predicting RNA base unpaired probability CN-113782096-A 2021/12/10

[Patent] Drug research and development model-based collaborative training method, system and storage medium CN-113782111-A 2021/12/10

[Patent] Interface data processing method, device, storage medium and equipment CN-113821254-A 2021/12/21

[Patent] Data aggregation processing method and device, computer equipment and storage medium CN-113986581-A 2022/1/28

[Patent] Drug redirection model generation method and device, storage medium and computer equipment CN-114023397-A 2022/2/8

[Patent] Artificial intelligence-based method and device for determining action relationship of drug target CN-114360639-A 2022/4/15

[Patent] Information pushing method and device based on drug molecule image classification CN-114358202-A 2022/4/15

[Patent] Medical image optimization method and apparatus, device, computer readable storage medium WO-2022077914-A1 2022/4/21

[Patent] Drug molecule property prediction method, device and equipment based on comparative learning CN-114386694-A 2022/4/22

[Patent] Image scene classification method and device based on graph neural network CN-114399002-A 2022/4/26

[Patent] Artificial intelligence-based medicine characteristic information determination method and device CN-114417986-A 2022/4/29

[Patent] Method and device for predicting property of drug molecule, storage medium and computer equipment CN-114613450-A 2022/6/10

[Patent] Drug properties prediction method, device, storage medium and computer equipments CN-114613450-A 2022/6/10

🎖 Honors and Awards

  • 2022.03 SemEval Task2 (Champoin)
  • 2021.05 VQA 2021 (2nd)
  • 2021.05 TextVQA 2021 (Champion)
  • 2021.01 TREC 2020 (Champion)
  • 2020.10 MIT AI Cure Open Task (Champion)
  • 2019.05 EAD2019 (Champion of Segmentation, Detection)
  • 2018.12 Fundus Lesion Diagnosis (Runner-up) AI Challenger
  • 2018.08 Outstanding Technical Contribution (IBM Research China)
  • 2016.06 Outstanding Graduate (Peking University, top 5%)
  • 2013.10 National Scholarship (Peking University, Top 1%)
  • 2012.09 Three-good student (Peking University)
  • 2008.06 National English Contest For College Students (3rd Prize)
  • 2007.12 Jiangsu Province Mathematical Modeling Contest (2nd Prize)
  • 2004.08 National High School Math League (Provincial 3rd Prize)
  • 2003.09 Excellent Newborn Matriculation Award (Zhaotong City No.1 Middle School, top 1%)

📖 Educations

  • 2012.09 - 2016.06, PhD, Peking University, Beijing.
  • 2009.09 - 2011.06, Master, China Agricultural Univeristy(985, Exam-free Recommendation).
  • 2006.09 - 2009.06, Undergraduate, Honor Program (Information Science, 理科试验班), China Agricultural Univeristy(985).