简介：柯景诚，广东技术师范大学交叉学科研究院讲师。大阪大学D3 Center特任研究员，中国台湾清华大学通讯工程研究所博士、陕西师范大学计算机应用技术专业硕士、西南民族大学网络工程专业学士，主攻方向为计算机视觉与多模态人工智能，包括开放场景下的指称表达理解\分割\生成、蒸馏学习、扩散模型、图神经网络等，及在智能感知与智慧医疗等领域的应用。累计发表SCI、EI检索论文14篇，部分成果发表于AAAI、ICLR、IEEE TIP、IEEE TMM、IEEE TCSVT、PR等高水平期刊与会议；主持国家自然科学基金青年科学基金项目（C类）及广东省粤穗联合基金青年基金项目各1项，获授权发明专利3项，并长期担任CVPR、ICCV、ECCV、ICLR、AAAI、NeurIPS、ACM MM、IEEE TMM、IEEE TCSVT、PR等期刊、会议审稿人。

邮箱：freedom6927@gmail.com

工作经历：

2025.06–至今　广东技术师范大学，交叉学科研究院，讲师

2024.09–2025.06　日本大阪大学，D3 Center，特任研究员

2018.07–2019.08　vivo AI研究院，人工智能工程师

部分科研项目：

国家家自然科学基金青年科学基金（C类），主持，2027.1.1-2029.12.31，30万；

广东省基础与应用基础研究基金粤穗联合基金青年基金项目，主持，2025.11.1-2028.10.31，10万；

部分论文：

1. J. Ke, J. Wen, H. Wang, W. H. Cheng, J. Wang, “Multi-perspective Cross-modal Object Encoding for Referring Expression Comprehension,” IEEE Transactions on Image Processing (TIP), 2025. (CCF A类)

2. J. Ke, D. Wang, J. C. Chen, I. H. Jhuo, C. W. Lin, Y. Y. Lin, “Make Graph-based Referring Expression Comprehension Great Again through Expression-guided Dynamic Gating and Regression,” IEEE Transactions on Multimedia (TMM), vol. 27, pp. 1950–1961, 2024. (CCF A类)

3. J. Ke, J. Wang, J. C. Chen, I. H. Jhuo, C. W. Lin, Y. Y. Lin, “CLIPREC: Graph-based Domain Adaptive Network for Zero-shot Referring Expression Comprehension,” IEEE Transactions on Multimedia (TMM), vol. 26, pp. 2480–2492, 2023. (CCF A类)

4. J. Ke, J. Chen, I. H. Jhuo, C. W. Lin, Y. Y. Lin, “Generation and Comprehension Hand-in-Hand: Vision-guided Expression Diffusion for Boosting Referring Expression Generation and Comprehension,” The Thirteenth International Conference on Learning Representations (ICLR), 2025. (CCF A类)

5. J. Ke, W. Wong, J. Wang, M. Li, L. Fei, J. Wen, “DiffusionREC: Diffusion Model with Adaptive Condition for Referring Expression Comprehension,” Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), vol. 39, no. 4, pp. 4221–4229, 2025. (CCF A类)

6. J. Ke, J. Wang, W. Wong, A. Toomey, J. Wen, “Graph-based Group Division Network for Referring Expression Comprehension,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 35, no. 6, pp. 6170–6183, 2025. (中科院一区top, CCF B类)

7. J. Ke, Q. Zhang, J. Wang, H. Ding, P. Zhang, J. Wen, “Graph-based Referring Expression Comprehension with Expression-guided Selective Filtering and Noun-oriented Reasoning,” Pattern Recognition (PR), vol. 161, Art. no. 111222, 2025. (中科院一区top, CCF B类)

8. J. Ke, Y. Peng, S. Liu, Z. Sun, X. Wang, “A Novel Grouped Sparse Representation for Face Recognition,” Multimedia Tools and Applications, vol. 78, no. 6, pp. 7667–7689, 2019.

9. J. Ke, Y. Peng, S. Liu, J. Li, Z. Pei, “Face Recognition Based on Symmetrical Virtual Image and Original Training Image,” Journal of Modern Optics, vol. 65, no. 4, pp. 367–380, 2018.

10. J. Ke, Y. Peng, S. Liu, J. Wu, G. Qiu, “Sample Partition and Grouped Sparse Representation,” Journal of Modern Optics, vol. 64, no. 21, pp. 2289–2297, 2017.

11. J. Wang, J. Ke, H. H. Shuai, Y. H. Li, W. H. Cheng, "Referring Expression Comprehension via Enhanced Cross-modal Graph Attention Networks," ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 19, no. 2, pp. 1–21, 2023.

12. Y. Peng, J. Ke, S. Liu, J. Li, T. Lei, “An Improvement to Linear Regression Classification for Face Recognition,” International Journal of Machine Learning and Cybernetics, vol. 10, no. 9, pp. 2229–2243, 2019.

13. J. Cui, B. Liufu, C. Dong, J. Ke, J. Wen, “Deep Multi-view Clustering with Meta Information Compression,” IEEE Transactions on Image Processing (TIP), vol. 34, pp. 7514–7527, 2025.

部分专利：

1. 2025. 04. 22，中华人民共和国发明专利，一种用于计算机视觉语言对齐的指代表达式理解方法及其系统，柯景诚，文杰，刘娜，专利号：ZL 2024 1 1150794.X，授权公告号：CN 118885604 B，已授权；

2. 2021. 05. 14，中华人民共和国发明专利，一种防盗预警方法、移动终端，柯景诚，专利号：CN201910329951.X，授权公告号：CN 118885604 B，已授权

3. 2024. 09. 21，中国台湾发明专利（美国优先权），辨识方法及其电子装置，王佳，柯景诚，郑文皇，帅宏翰，栗永徽，专利号：112125587，授权公告号：TW I856731 B，已授权；