Publications

I have published 18 papers (1 best paper), with about 960 citations in google scholar.

31. Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin, "Grammatically Recognizing Images with Tree Convolution" [C]. in Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), San Diego, CA, USA, August 4-8, 2020. ACM, 2020.

30. Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, and Liang Lin, "Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New Benchmark" [J]. in IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2020

29. Hongjun Wang, Guangrun Wang (co-first author), Ya Li, Dongyu Zhang, Liang Lin, "Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking" [C]. in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, June 16 - 18, 2020.

28. Guangcong Wang, Jianhuang Lai, Wenqi Liang, Guangrun Wang, "Smoothing Adversarial Domain Attack and p-Memory Reconsolidation for Cross-Domain Person Re-Identification" [C]. in IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, Washington, USA, June 16 - 18, 2020.

27. Changlin Li, Liuchun Yuan, Jiefeng Peng, Guangrun Wang (corresponding authour), Xiaodan Liang, Liang Lin, Xiaojun Chang, "Block-wisely Supervised Neural Architecture Search with Knowledge Distillation" [C]. in IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, Washington, USA, June 16 - 18, 2020.

26. Guangcong Wang, Jianhuang Lai, Guangrun Wang, Wenqi Liang, "Function Feature Learning of Neural Networks"

25. Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang, "FNNP: Fast Neural Network Pruning Using Adaptive Batch Normalization"

24. Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang (correspoding authour), Xiaodan Liang, Liang Lin, Xiaojun Chang. "Blockwisely Supervised Neural Architecture Search with Knowledge Distillation", arXiv preprint arXiv (2019)

23. Guangcong Wang, Jianhuang Lai, Wenqi Liang, and Guangrun Wang. "Learnable Parameter Similarity", arXiv preprint arXiv (2019)

22. Hongjun Wang, Guangrun Wang (corresponding authour), Guanbin Li and Liang Lin. "CamDrop: A guided regularization method for better recognizing", In the 28th ACM International Conference on Information and Knowledge Management (CIKM 2019)

21. Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, and Liang Lin. "Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark" arXiv preprint arXiv (2019)

20. Guangrun Wang, Keze Wang, and Liang Lin. "Adaptively Connected Neural Networks." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), 2019.

19. Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, and Liang Lin*, “Kalman Normalization: Normalizing Internal Representations Across Network Layers”, Proc. of Advances in Neural Information Processing Systems (NIPS 2018), 2018.

18. Guangrun Wang, Ping Luo, Liang Lin, and Xiaogang Wang. "Learning object interactions and descriptions for semantic image segmentation." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), pp. 5859-5867. 2017.

17. Guangrun Wang, Ping Luo (equal contribution), Liang Lin, and Xiaogang Wang. "Deep dual learning for semantic image segmentation." Proc. of IEEE International Conference on Computer Vision (ICCV 2017), pp. 21-26. 2017.

16. Liang Lin (my advisor), Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, and Wangmeng Zuo. "Deep structured scene parsing by learning with image descriptions." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2016), pp. 2276-2284. 2016.

15. Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, and Qing Wang. "DARI: Distance Metric and Representation Integration for Person Verification." In (AAAI 2016), pp. 3611-3617. 2016.

14. Liang Lin (my advisor), Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, and Lei Zhang. "Cross-domain visual matching via generalized similarity measure and feature learning." IEEE transactions on pattern analysis and machine intelligence (TPAMI) 39, no. 6 (2017): 1089-1102.

13. Ruimao Zhang, Liang Lin (my advisor), Guangrun Wang, Meng Wang, and Wangmeng Zuo. "Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions." IEEE Transactions on Pattern Analysis and Machine Intelligence 1 (TPAMI): 1-1, 2018

12. Shengyong Ding, Liang Lin(my advisor), Guangrun Wang, and Hongyang Chao. "Deep feature learning with relative distance comparison for person re-identification." Pattern Recognition 48, no. 10 (2015): 2993-3003. Best Paper Award!.

11. Ya Li, Guangrun Wang, Lin Nie, Qing Wang, and Wenwei Tan. "Distance metric optimization driven convolutional neural network for age invariant face recognition." Pattern Recognition 75 (2018):51-62.

10. Ya Li, Guangrun Wang, Liang Lin, and Huiyou Chang. "A deep joint learning approach for age invariant face verification." In CCF Chinese Conference on Computer Vision, pp. 296-305. Springer, Berlin, Heidelberg, 2015.

9. Ya Li, Guangrun Wang, Qing Wang. A Deep Joint Learning Approach for Age Invariant Face Verification[J]. Journal of Beijing University of Posts and Telecommunications, 2017, 40(1): 84-88, 110.

8. Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, and Liang Lin. "Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches." arXiv preprint arXiv:1802.03133 (2018).

7. Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, and Wangmeng Zuo. "Scene Parsing by Weakly Supervised Learning with Image Descriptions." arXiv preprint arXiv:1709.09490 (2017).

Patents

6. Liang Lin, Hongjun Wang, Guangrun Wang, Dongyu Zhang. "Method and system for generating confrontation samples of person re-identification system" [Patent]. Published number: 111160217A, 2020.05.15

5. Ping Luo, Guangrun Wang, Jiefeng Peng, Liang Lin, Xinjiang Wang, "A Batch Normalization Method, Deployment, and Computer Device" [Patent]. Published number: 108229664A, 2018.06.29

4. Xiaoou Tang, Guangrun Wang, Ping Luo, Liang Lin, Xiaogang Wang, "An Image Segmentation Method, Deployment, Memory, and Program" [Patent]. Published number: 108229478A, 2018.06.29

3. Rongcong Chen, Liang Lin, Guangrun Wang, Keze Wang [Patent], "Image Processing Method and Device Based on Adaptively Connected Neural Networks" [Patent]. Published number: 111079900A, 2020.04.28.

2. Rongcong Chen, Liang Lin, Guangrun Wang, Guangcong Wang, Jiqi Zhang, Image Recognition Model and Method with Network Structure Self-Adjusting [Patent]. Published number: 111062465A, 2020.04.24

1. Liang Lin, Hongjun Wang, Guangrun Wang, Guanbin Li, Regularization Method and System Based on Class Activation Map Guidance [Patent]. Published number: 111027634A, 2020.04.17

Back to my Homepage