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白 琮
个人简历
白琮,博士,浙江工业大学计算机科学与技术学院,教授,博士生导师。学院党委委员,计算机视觉研究所执行所长。浙江省杰出青年基金获得者。先后主持国家和省部级科研项目(课题)9项,在国内外知名学术期刊或会议上发表论文60余篇,以第一作者或是通信作者在AAAI、ACM MM、IEEE TGRS, IEEE TNNLS, IEEE TCyber, IEEE TMM, IEEE IOTJ, IEEE GRSL 等领域内的权威期刊或会议上发表论文20余篇,其中ESI高被引论文1篇,《软件学报》2019年和2020年高影响力论文各1篇。曾4次获得国际/国内知名学术会议的最佳/优秀论文奖。担任Elsevier旗下SCI期刊《Displays》的编委会委员。
研究方向
多媒体信息处理、智慧气象等。
主要承担的教学课程
硕士生课程:多媒体内容分析与理解
本科生课程:多媒体技术基础、微机接口技术(留学生全英文)
代表性学术成果
[1]C. Bai, M. Zhang, J. Zhang, J. Zheng and S. Chen, LSCIDMR: Large-Scale Satellite Cloud Image Database for Meteorological Research, IEEE Transactions on Cybernetics, vol. 52, no. 11, pp. 12538-12550, Nov. 2022
[2]P. Zhou, K. Ying, Z. Wang, D. Guo and C. Bai*, Self-Supervised Enhancement for Named Entity Disambiguation via Multimodal Graph Convolution, in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2022.3173179.
[3]C. Bai, C. Zeng, Q. Ma and J. Zhang*, Graph Convolutional Network Discrete Hashing for Cross-Modal Retrieval, in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2022.3174970.
[4]C. Bai, D. Zhao, M. Zhang and J. Zhang, Multimodal Information Fusion for Weather Systems and Clouds Identification From Satellite Images, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 7333-7345, 2022
[5]P Zhou, C Bai*, Jie Xia, SY Chen, “CMRDF: A Real-Time Food Alerting System Based on Multimodal Data”, in IEEE Internet of Things Journal, vol. 9, no. 9, pp. 6335-6349, 2022
[6]C Bai, F Sun, J Zhang*, Y Song, SY Chen, “Rainformer: Features Extraction Balanced Network for Radar-Based Precipitation Nowcasting”, IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 4023305, doi: 10.1109/LGRS.2022.3162882.
[7]C Huang, C Bai*, S Chan, J Zhang, “MMSTN: A Multi‐Modal Spatial‐Temporal Network for Tropical Cyclone Short‐Term Prediction”, Geophysical Research Letters 49 (4), e2021GL096898, 2022
[8]P Hao, Y Li, C Bai*. Meta-relationship for course recommendation in MOOCs. Multimedia Systems (2022). https://doi.org/10.1007/s00530-022-00989-5
[9]L Huang, C Bai*, Y Lu, S Zhang, SY Chen, “Unsupervised adversarial image retrieval”, MULTIMEDIA SYSTEMS, 28(2),pp. 673-685, 2022
[10] C Bai, H LI, J Zhang*, L Huang, L Zhang, “Unsupervised Adversarial Instance-level Image Retrieval, IEEE Transaction On Multimedia, vol. 23, pp. 2199-2207, 2021
[11] 顾婷菲,郝鹏翼,白琮,柳宁,“结合多通道注意力的糖尿病性视网膜病变分级”,中国图象图形学报,2021, 26 (7)
[12] 曾超,白琮*,马青,“基于对抗投影学习的跨模态哈希检索”,计算机辅助设计与图形学学报, 2021, 32(6)
[13] J Zheng, Y Feng, C Bai*, J Zhang, “Hyperspectral Image Classification Using Mixed Convolutions and Covariance Pooling”, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 1, pp. 522-534, Jan. 2021 (ESI High Cited Paper)
[14] 陈健,白琮*,马青,郝鹏翼,陈胜勇,“面向细粒度草图检索的对抗训练三元组网络”, 软件学报, 2020, 31(7)
[15] 张敏靖,白琮*,张敬林,郑建炜,“基于对抗和迁移学习的灾害天气卫星云图分类”,北京航空航天大学学报,2021,47(3)
[16] 黄远,白琮*,李宏凯,张敬林,陈胜勇,“基于条件生成对抗的图像描述生成方法”, 计算机辅助设计与图形学学报, 2020, 32(6)
[17] C Bai, J Chen, Q Ma*, P Hao, SY Chen, “Cross-domain representation learning by domain-migration generative adversarial network for sketch based image retrieval”, Journal of Visual Communication and Image Representation, vol.71, 2020, 102835
[18] Q Ma, C Bai*, J Zhang, Z Liu, S Chen, Supervised learning based discrete hashing for image retrieval, Pattern Recognition 92, 156-164, 2019
[19] 白琮,黄玲,陈佳楠,潘翔,陈胜勇, “面向大规模图像分类的深度卷积神经网络优化”, 软件学报, 2018,29(4):1029-1038.
[20] H Cheng, C Bai*, S Chan, J. Zhang, Y Wu, “MGTCF: Multi-Generator Tropical1Cyclone Forecasting with Heterogeneous Meteorological Data.” Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2023)
[21] P Mu, H Qian, and C Bai*. Structure-Inferred Bi-level Model for Underwater Image Enhancement. In Proceedings of the 30th ACM International Conference on Multimedia (MM '22). Association for Computing Machinery, New York, NY, USA, 2286–2295.
[22] J. Chen, L. Zhang, Q. Wang, C. Bai and K. Kpalma, Intra-Modal Constraint Loss for Image-Text Retrieval, 2022 IEEE International Conference on Image Processing (ICIP), 2022, pp. 4023-4027
[23] F. Sun, C. Bai*, Y. Song and J. Zhang, MMINR: Multi-frame-to-Multi-frame Inference with Noise Resistance for Precipitation Nowcasting with Radar, 2022 26th International Conference on Pattern Recognition (ICPR), 2022, pp. 97-103
[24] Z Zha, P Zhou, C Bai*, “Exploring Implicit and Explicit Relations with the Dual Relation-Aware Network for Image Captioning”. International Conference on Multimedia Modeling, 97-108, 2022
主要科研项目
主持:
1. 国家自然科学基金区域创新发展联合基金重点项目,白内障显微手术机器人影像处理与自主导航关键问题研究,2021.1-2024.12。
2. 浙江省自然科学基金杰出青年基金项目,多媒体内容理解与检索,2021.1-2023.12。
3. 国家自然科学基金面上项目,面向图像检索的无监督深度特征学习方法研究, 2020.01-2023.12。
4. 国家自然科学基金辽宁联合基金重点项目,多元医学影像数据智能分析交换技术与系统应用,2020.01-2023.12。(合作单位负责人)
5. 国家重点研发计划政府间国际科技创新合作重点专项,基于气象卫星影像的典型灾害天气智能解译关键技术研究与应用示范,2020.01-2022.12。(合作单位负责人)
6.国家自然科学基金青年科学基金项目,基于内容的图像检索中语义特征表示及语义融合,2016.01-2018.12。
7. 浙江省自然科学基金面上项目,面向语义图像检索的深度卷积神经网络优化研究, 2018.01-2020.12。
8. 浙江省自然科学基金面上项目,基于显著性模型的语义图像检索,2015.01-2017.12。
社会兼职
中国计算机学会会员、多媒体专委会执行委员
中国人工智能学会会员、智慧医疗专委会委员
中国图形图像学会会员、多媒体专委会委员
浙江省计算机学会数字媒体技术专委会委员
浙江省抗癌协会人工智能肿瘤诊疗专委会委员
联系方式
Email:congbai@zjut.edu.cn