HomeFacultyPengzhen Ren
任鹏真
Pengzhen Ren
Research Scientist
pzhren@foxmail.com

教师简介


2022年在中国西北大学获得软件工程博士学位。主要研究领域包括视觉语言预训练、分割、多模态学习和视觉自我监督等,已在CVPR、ICLR、AAAI、IJCAI、TPAMI和TNNLS等顶级AI会议和期刊上发表了11篇论文,其中有两篇ESI高被引论文。CVPR、TPAMI 等会议期刊审稿人。

 

 

研究领域


多模态视觉表示、视觉语言预训练、开放域视觉感知、模型自动化设计

 

教育背景


2013/09-2017/06 新乡学院,数学与统计学院,学士,信息与计算科学

2017/09-2022/06 西北大学,信息科学与技术学院,博士

 

 

 

科研项目


国家自然科学基金委员会, 面上项目, 61972315, 基于风格迁移的碑帖书法虚拟修复研究, 2020-01-01 至 2023-12-31, 59 万元, 在研, 参与

国家自然科学基金委员会, 面上项目, 62072372, 基于多源多模态协同感知的复杂人体活动跨场景识别, 2021-01-01 至 2024-12-31, 56 万元, 在研, 参与

 

代表性论著


期刊论文

1. Ren, P., Xiao, Y., Chang, X., Huang, P., Li, Z., Chen, X., & Wang, X. (2020). A Survey of Deep Active Learning. ACM Computing Surveys (CSUR), 54, 1 - 40. (SCI 一区, IF:14.3, ESI 高被引, 引用次数: 378)

2. Ren, P., Xiao Y, Chang X, et al. A comprehensive survey of neural architecture search: Challenges  and solutions[ J]. ACM Computing Surveys (CSUR), 2021, 54(4): 1-34. (SCI 一区, IF:14.3, ESI 高被引, 引 用次数: 313)

3. Ren, P., Xiao, Y., Chang, X., Prakash, M., Nie, F., Wang, X., & Chen, X. (2019). Structured Optimal  Graph-Based Clustering With Flexible Embedding. IEEE Transactions on Neural Networks and  Learning Systems, 31, 3801-3813. (SCI 一区, IF:14.2, 引用次数: 10)

4. Chang, X., Ren, P., Xu, P., Li, Z., Chen, X., & Hauptmann, A.G. (2021). A Comprehensive Survey of Scene Graphs: Generation and Application. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 1-26. (SCI 一区, IF:24.3, 引用次数: 26)5. Lu, L.Y., Xiao, Y., Chang, X., Wang, X., Ren, P., & Ren, Z. (2022). Deformable attention-oriented feature pyramid network for semantic segmentation. Knowl. Based Syst., 254, 109623. (SCI 一区, IF:8.1)

会议论文

1. Ren, P., Li, C., Xu, H., Zhu, Y., Wang, G., Liu, J., Chang, X., & Liang, X. (2023). ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency. ICLR2023.

2. Ren, P., Li, C., Wang, G., Xiao, Y., & Chang, Q.D. (2022). Beyond Fixation: Dynamic Window Visual Transformer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11977-11987. (CCF-A, 引用次数:8)

3. Ren, P., Xiao, Y., Xu, P., Guo, J., Chen, X., Wang, X., & Fang, D. (2018). Robust Auto-Weighted Multi-View Clustering. International Joint Conference on Artificial Intelligence. (CCF-A, 引用次数:36)

4. Xiao, Y., Ren, P., Li, Z., Chen, X., Wang, X., & Fang, D. (2019). RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace. AAAI Conference on Artificial Intelligence. (CCF-A)

5. Lin, X., Ren, P., Xiao, Y., Chang, X., & Hauptmann, A.G. (2021). Person Search Challenges and Solutions: A Survey. International Joint Conference on Artificial Intelligence. (CCF-A, 引用次数:5)

6. Long, Y., Wen, Y., Han, J., Xu, H., Ren, P., Zhang, W., Zhao, S., & Liang, X. (2023). CapDet: Unifying Dense Captioning and Open-World Detection Pretraining. CVPR2023. (CCF-A)

Pengzhen Ren
Pengzhen Ren
Research Scientist
pzhren@foxmail.com

教师简介


2022年在中国西北大学获得软件工程博士学位。主要研究领域包括视觉语言预训练、分割、多模态学习和视觉自我监督等,已在CVPR、ICLR、AAAI、IJCAI、TPAMI和TNNLS等顶级AI会议和期刊上发表了11篇论文,其中有两篇ESI高被引论文。CVPR、TPAMI 等会议期刊审稿人。

 

 

研究领域


多模态视觉表示、视觉语言预训练、开放域视觉感知、模型自动化设计

 

教育背景


2013/09-2017/06 新乡学院,数学与统计学院,学士,信息与计算科学

2017/09-2022/06 西北大学,信息科学与技术学院,博士

 

 

 

科研项目


国家自然科学基金委员会, 面上项目, 61972315, 基于风格迁移的碑帖书法虚拟修复研究, 2020-01-01 至 2023-12-31, 59 万元, 在研, 参与

国家自然科学基金委员会, 面上项目, 62072372, 基于多源多模态协同感知的复杂人体活动跨场景识别, 2021-01-01 至 2024-12-31, 56 万元, 在研, 参与

 

代表性论著


期刊论文

1. Ren, P., Xiao, Y., Chang, X., Huang, P., Li, Z., Chen, X., & Wang, X. (2020). A Survey of Deep Active Learning. ACM Computing Surveys (CSUR), 54, 1 - 40. (SCI 一区, IF:14.3, ESI 高被引, 引用次数: 378)

2. Ren, P., Xiao Y, Chang X, et al. A comprehensive survey of neural architecture search: Challenges  and solutions[ J]. ACM Computing Surveys (CSUR), 2021, 54(4): 1-34. (SCI 一区, IF:14.3, ESI 高被引, 引 用次数: 313)

3. Ren, P., Xiao, Y., Chang, X., Prakash, M., Nie, F., Wang, X., & Chen, X. (2019). Structured Optimal  Graph-Based Clustering With Flexible Embedding. IEEE Transactions on Neural Networks and  Learning Systems, 31, 3801-3813. (SCI 一区, IF:14.2, 引用次数: 10)

4. Chang, X., Ren, P., Xu, P., Li, Z., Chen, X., & Hauptmann, A.G. (2021). A Comprehensive Survey of Scene Graphs: Generation and Application. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 1-26. (SCI 一区, IF:24.3, 引用次数: 26)5. Lu, L.Y., Xiao, Y., Chang, X., Wang, X., Ren, P., & Ren, Z. (2022). Deformable attention-oriented feature pyramid network for semantic segmentation. Knowl. Based Syst., 254, 109623. (SCI 一区, IF:8.1)

会议论文

1. Ren, P., Li, C., Xu, H., Zhu, Y., Wang, G., Liu, J., Chang, X., & Liang, X. (2023). ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency. ICLR2023.

2. Ren, P., Li, C., Wang, G., Xiao, Y., & Chang, Q.D. (2022). Beyond Fixation: Dynamic Window Visual Transformer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11977-11987. (CCF-A, 引用次数:8)

3. Ren, P., Xiao, Y., Xu, P., Guo, J., Chen, X., Wang, X., & Fang, D. (2018). Robust Auto-Weighted Multi-View Clustering. International Joint Conference on Artificial Intelligence. (CCF-A, 引用次数:36)

4. Xiao, Y., Ren, P., Li, Z., Chen, X., Wang, X., & Fang, D. (2019). RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace. AAAI Conference on Artificial Intelligence. (CCF-A)

5. Lin, X., Ren, P., Xiao, Y., Chang, X., & Hauptmann, A.G. (2021). Person Search Challenges and Solutions: A Survey. International Joint Conference on Artificial Intelligence. (CCF-A, 引用次数:5)

6. Long, Y., Wen, Y., Han, J., Xu, H., Ren, P., Zhang, W., Zhao, S., & Liang, X. (2023). CapDet: Unifying Dense Captioning and Open-World Detection Pretraining. CVPR2023. (CCF-A)