白琮

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，学术副院长，院人才办主任，计算机视觉研究所执行所长。研究方向为计算机视觉与智慧气象。主持国自然联合重点、面上、青年、科技部重点研发计划课题等省部级以上项目10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 TCBY, IEEE TMM, IEEE IOTJ, IEEE GRSL、GRL等领域内的权威期刊或会议上发表论文30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5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。

欢迎本校的优秀本科生进组进行科研实习！希望你四六级已过，绩点3.8以上。

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招收:硕士生、博士生 招聘: 博士后，青年教师。

教育经历：

2009.9~2013.3 法国雷恩国立应用科学学院（INSA Rennes） 信号与图像处理专业    工学博士

2006.9~2009.3 上海大学                                电路与系统            工学硕士

1999.9~2003.7 山东大学                                电子信息工程          工学学士

学术兼职： 

Displays （An Elsevier journal indexed by SCI） Editorial Board Member  

程序委员会委员：ICML 2025, ECAI 2024,2025 IJCAI 2024, ACMMM Asia 2019， ACM MM 2018，2022，2023，2024 MIPR 2020, 2018,  PCM 2018

权威期刊审稿人：IEEE TNNLS，IEEE TMM， IEEE TAI,IEEE TBD,IEEE TGRS,IEEE TKDE等

中国气象学会气象人工智能专委会副秘书长

中国计算机学会高级会员、多媒体专委会委员

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

本人及团队7名教师共指导在读硕士研究生二十七名，博士研究生五名，毕业研究生十八名。

实验室传帮带氛围好。能保证充分的指导。

实验室不要求打卡，看实际科研进展！

毕业要求完成之后，鼓励有就业意向的学生去企业实习。

2024级硕士生：朱宇超（与穆攀博士共同指导）、卢珂宇（与马青副教授共同指导）、卢思宇、骆霖轩（与穆攀博士共同指导）、汪漾（与王琼博士共同指导）、李想（与穆攀博士共同指导）、严明、陈浩然（与王铮博士共同指导）、洪升、洪滔（与王铮博士共同指导）

2023级硕士生：王泽弘（与产思贤副教授共同指导）、倪鸿泽（与马青副教授共同指导）、张燕玲（与穆攀博士共同指导）、黄堃（与王铮博士共同指导）、郑策（与王琼博士共同指导）、赵政棋（与郝鹏翼副教授共同指导）、胡至盈（与王琼博士共同指导）、应楷（与王铮博士共同指导）、林仲豪、王奕欣（与穆攀博士共同指导）、汪琰（与王琼博士共同指导）

2022级硕士生：严涵婷（研究生国奖，硕博连读），潘建成(清华联合培养,研究生国奖，两次！保加利亚INSAIT访问学生)，何波贤，蒋悦，张晗奕（萧山农商银行），方靖（杭州移动）
2021级硕士生：欧阳鹏翔(硕博连读，复旦联合培养)，孙泓迪（百度），赵董孝元（研究生国奖，瓴羊科技），蔡志鹏（浙商银行），潘莹莹（省直属事业单位）
2020级硕士生：郑安琪（研究生国奖，浙商银行），孙丰（研究生国奖，快手），张晓青（浙江水利水电职业学院），李雅丽（宁波大学）
2019级硕士生：顾婷菲（浙商银行），曾超（研究生国奖，校优秀硕士论文，Zoom），张敏靖（研究生国奖，丽水市特种设备检测院），黄诚（研究生国奖，硕博连读）
2018级硕士生：李宏凯（研究生国奖，腾讯/网易），黄远（浙商银行）
2017级硕士生：陈健（研究生国奖，浙商银行）
2016级硕士生：黄玲（研究生国奖，校优秀硕士论文，浙工大研究生国际化培养资助美国交流半年，法国UTC读博，CSC全额奖学金，NUS博后在读）
2015级硕士生：陈佳楠（研究生国奖，法国驻华使馆访学资助法国访学一个月，法国INSA Rennes读博，CSC全额奖学金）
2014级硕士生：邹祎杰（爱立信）

2024级博士：姜子浔、欧阳鹏翔

2023级博士生：张诗琪
2022级博士生：陶健
2021级博士生：黄诚（英国布里斯托大学联合培养）
2013级博士生：马青（浙江工业大学教师）

指导过的本科生：

2020级：许函宁（保研复旦大学）、杜智颖（保研复旦大学）、姜子浔 （保送本校本硕博一体化）

2019级：张诗琪（保送本校本硕博一体化）

2018级：查志伟（保研复旦大学），徐逸伦（保研浙江大学）

2017级：周鹏飞（本科生国奖，保研中科院计算所）

2016级：朱赟（保研浙江大学），郑安琪（保研本校），许柏舟（ UC San Diego 读研)

2015级：路彭悦（本科生国奖，保研华东师范大学）

2014级：傅宇倩（本科生国奖，保研复旦大学）


做为指导教师指导过以下课外科技：

2023年 第十八届“挑战杯”全国大学生课外学术科技作品竞赛 一等奖

2022年 浙江省新苗人才计划立项并顺利结题

2020年 第十一届中国大学生服务外包创新创业大赛 二等奖

2019年 国家级大学生创新创业训练计划立项并顺利结题

2019年 浙江省新苗人才计划立项并顺利结题

2016年 浙江省大学生服务外包创新应用大赛  省二等奖

2015年 国家级大学生创新创业训练计划立项并顺利结题

10. 浙江省自然科学基金杰出青年基金延续资助项目，多源数据驱动的灾害天气智能预报， 2025.1~2027.12，主持

9. 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，主持。

8. 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，主持。

7. 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，主持。

6. 中国气象服务协会气象科技创新平台面上项目，多卫星降水联合智能反演技术研究，2023年5月-2024年4月，主持

5. 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。

4. 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。

3．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,主持。

2. 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，主持。

1. 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，主持。

文章与专利列表

期

期刊文章：

1. S. Chan, J. Cui, Y. Wu, H. Wang, C. Bai, “Multi-scale feature correspondence and restriction mechanism for visible X-ray baggage re-Identification”, in Multimedia Systems, Vol. 30, No. 6, Art No. 315, 2024

2. S. Chan, X. Zeng, X. Wang, J. Hu, C. Bai, “Auxiliary feature fusion and noise suppression for HOI detection”, in ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 20, No. 10, 2024

3. H. Zhang, Q. Miao, S. Li, C. Wang, S. Chan, J. Hu, C. Bai, “An efficient and real-time steel surface defect detection method based on single-stage detection algorithm”，Multimedia Tools and Applications, 2024

4. S. Chan, W. Wang, Z, Shao, Z. Wang, C. Bai, “Region Mining and Refined Query Improved HOI Detection in Transformer”，IEEE Transactions on Emerging Topics in Computational Intelligence, 2024

5. Q. Wang, H. Sun, Y. Feng, Z. Dong*, C. Bai, “MGCNet: Multi-granularity cataract classification using denoising diffusion probabilistic model”, in Displays, Vo. 83, Art no. 102716

6. P. Hao S. Liu, C. Bai*, “Intent-Aware Graph-Level Embedding Learning Based Recommendation,” in Journal of Computer Science and Technology, Vol 39, No. 5, pp. 1138-1152

7. Q. Ma, J. Pan and C. Bai*, Direction-Oriented Visual–Semantic Embedding Model for Remote Sensing Image–Text Retrieval, in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-14, 2024, Art no. 4704014

8. 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, vol. 35, no. 4, pp. 4756-4767, April 2024

9. 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, vol. 35, no. 1, pp. 231-245, Jan. 2024

10. S. Chan, W. Meng, C. Bai*, J. Hu* and S. Chen, Diverse-Feature Collaborative Progressive Learning for Visible-Infrared Person Re-Identification, in IEEE Transactions on Industrial Informatics, vol. 20, no. 5, pp. 7754-7763.

11. S. Chan, M. Yu, Z. Chen*, J. Mao and C. Bai, Regional Contextual Information Modeling for Small Object Detection on Highways, in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-13, 2023, Art no. 2531613, doi: 10.1109/TIM.2023.3328078.

12. D. Zhao, Q. Wang*, J. Zhang and C. Bai,  Mine Diversified Contents of Multispectral Cloud Images Along With Geographical Information for Multilabel Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023

13. C. Bai, Z. Cai, X. Yin* and J. Zhang, LSDSSIMR: Large-Scale Dust Storm Database Based on Satellite Images and Meteorological Reanalysis Data, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 10121-10131, 2023

14. X. Zhang, C. Bai*, K. Kpalma, OMCBIR: Offline mobile content-based image retrieval with lightweight CNN optimization, Displays, Vol. 76, 2023, 102355

15. A. Zheng, S. Zheng, C. Bai, D. Chen*. Triple-level relationship enhanced transformer for image captioning. Multimedia Systems, Vol.29, pp. 1955–1966, 2023

16. P. Hao, Y. Li, C. Bai*. Meta-relationship for course recommendation in MOOCs. Multimedia Systems, Vol. 29, 235–246, 2023

17. 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

18. C. Zhu, X. Wang, SY. Chen,  Zhongzhao Teng, C. Baiet al.Complex carotid artery segmentation in multi-contrast MR sequences by improved optimal surface graph cuts based on flow line learning. Medical & Biological Engineering & Computing 60, 2693–2706 (2022)

19. X. Wang, Y. Yuan, D. Guo, Y. Cui, M. Xia, Z. Wang, C. Bai and S. Chen, “SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection   segmentation with semi-supervised few-shot learning” , Medical Image Analysis 79: 102459, 2022

20. S. Chan, J. Tao, X. Zhou, C. Bai and X. Zhang, Siamese Implicit Region Proposal Network With Compound Attention for Visual Tracking, in IEEE Transactions on Image Processing, vol. 31, pp. 1882-1894, 2022

21. X. Wang, L. Wang, Y. Sheng, C. Zhu, N. Jiang, C. Bai, M. Xia, Z. Shao, Z Gu and X Huang, “Automatic and accurate segmentation of peripherally inserted central catheter (PICC) from chest X-rays using multi-stage attention-guided learning”, Neurocomputing, 482, 82-97, 2022

22. 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

23. 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

24. Y. Li, Y. Chen, K. Zhu, C. Bai and J. Zhang, An effective federated learning verification strategy and its applications for fault diagnosis in industrial IOT systems, in IEEE Internet of Things Journal, vol. 9, no. 18, pp. 16835-16849, 15 Sept.15, 2022

25. 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.

26. 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

27. Z Jia, S Yang, J Zhang, Y Zhang, Z Yang, K Xue, and C Bai. 2022. PRSOT: Precipitation Retrieval from Satellite Observations Based on Transformer Atmosphere 13, no. 12: 2048

28. C Bai, Anqi Zheng, Yuan Huang, Xiang Pan, Nan Chen, “Boosting Convolutional Image Captioning with Semantic Content and Visual Relationship”, Displays, Vol. 70, 2021, 102069

29. L Huang, C Bai*, Y Lu, S Zhang, SY Chen, “Unsupervised adversarial image retrieval”, MULTIMEDIA SYSTEMS, 28(2),pp. 673-685, 2022

30. J Zhang, Y Yang, Z Jia, C Bai*, “Superresolution imaging with a deep multipath network for the reconstruction of satellite cloud images”. Earth and Space Science, 8, e2020EA001559.

31. Yuchao Feng, Jianwei Zheng, Mengjie Qin, Cong Bai, and Jinglin Zhang. 2021. 3D Octave and 2D Vanilla Mixed Convolutional Neural Network for Hyperspectral Image Classification with Limited Samples Remote Sensing 13, no. 21: 4407.

32. 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

33. 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)

34. 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)

35. X Wang, L Wang, X Zhong, C Bai, X Huang et al. “PaI-Net: A modified U-Net of reducing semantic gap for surgical instrument segmentation”, IET Image Process. 2021; 15: 2959– 2969.

36. 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） 

37. 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), 1933-1942

38. 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)

39. 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)

40. 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

41. P Hao, X Gao, Z Li, J Zhang*, F Wu, C Bai, “Multi-branch Fusion Network for Myocardial Infarction Screening from 12-lead ECG Images”, Computer Methods and Programs in Biomedicine, Volume 184, 105286, 2020

42. J Ren, Z Liu, X Zhou, C Bai, G Sun, “Co-saliency detection via integration of multi-layer convolutional features and inter-image propagation”, Neurocomputing, (371): 137-146, 2020

43. P Hao, S Chokuwa, X Xie, F Wu, J Wu, C Bai*, Skeletal bone age assessments for young children based on regression convolutional neural networks, Mathematical Biosciences and Engineering, 16(6): 6454-6466, 2019

44. Q Ma, C Bai*, J Zhang, Z Liu, S Chen,Supervised learning based discrete hashing for image retrieval, Pattern Recognition 92, 156-164, 2019

45. J Zheng, K Lou, X Yang*, C Bai*, J Tang,  Weighted Mixed-Norm Regularized Regression for Robust Face Identification , IEEE transactions on neural networks and learning systems,vol. 30, no. 12, pp. 3788-3802, 2019.

46. C Bai, L Huang, X Pan, J Zheng, S Chen, Optimization of deep convolutional neural network for large scale image retrieval, Neurocomputing 303, 60-67, 2018

47. 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.

48. C Bai, J Chen, L Huang, K Kpalma, S Chen, Saliency-based multi-feature modeling for semantic image retrieval, Journal of visual communication and image representation 50, 199-204, 2018

49. J Ren, Z Liu, X Zhou, G Sun, C Bai, Saliency integration driven by similar images, Journal of Visual Communication and Image Representation 50, 227-236, 2018

50. L Ye, Z Liu, L Li, L Shen, C Bai, Y Wang, Salient object segmentation via effective integration of saliency and objectness, IEEE Transactions on Multimedia 19 (8), 1742-1756, 2017

51. J Zhang, C Bai, JF Nezan, JG Cousin, Joint motion model for local stereo video-matching method, Optical Engineering 54 (12), 123108, 2015

52. C Bai, J Zhang, Z Liu, WL Zhao, K-means based histogram using multiresolution feature vectors for color texture database retrieval, Multimedia Tools and Applications 74 (4), 1469-1488, 2015

53. W Zou, C Bai, K Kpalma, J Ronsin, Online glocal transfer for automatic figure-ground segmentation, IEEE transactions on image processing 23 (5), 2109-2121, 2014

54. C Bai, W Zou, K Kpalma, J Ronsin, Efficient colour texture image retrieval by combination of colour and texture features in wavelet domain, Electronics letters 48 (23), 1463-1465, 2012
    
    

会议论文:

[1]        S. Wang, H. Peng, F. Wu, C. Bai, “Live on the Hump: Self Knowledge Distillation via Virtual Teacher-Students Mutual Learning”, In Proceedings of the 32nd ACM International Conference on Multimedia (MM ’24), pp. 3028-3036

[2]        H. Yan, P. Mu*, C. Huang, J. Zhang, C. Bai, “Phy-CoCo: Physical Constraint-Based Correlation Learning for Tropical Cyclone Intensity and Size Estimation”, 2024, European Conference on Artificial Intelligence (ECAI), doi: 10.3233/FAIA240744

[3]        P. Ouyang, J. Chen, Q. Ma*, Z. Wang and C. Bai, Distinguishing Visually Similar Images: Triplet Contrastive Learning Framework for Image-text Retrieval, 2024 IEEE International Conference on Multimedia and Expo (ICME), Niagara Falls, ON, Canada, 2024, pp. 1-6.

[4]        J. Pan, Q. Ma, and C. Bai*. A Prior Instruction Representation Framework for Remote Sensing Image-text Retrieval. In Proceedings of the 31st ACM International Conference on Multimedia (MM ’23), October 29–November 3, 2023, Ottawa, ON, Canada. ACM, New York, NY, USA, 10 pages.

[5]        P. Mu, Z. Du, J. Liu* and C. Bai. Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion. In Proceedings of the 31st ACM International Conference on Multimedia (MM ’23), October 29–November 3, 2023, Ottawa, ON, Canada. ACM, New York, NY, USA, 10 pages.

[6]        P. Mu, H. Xu, Z. Liu, Z. Wang, S. Chan and C. Bai*. A Generalized Physical-knowledge-guided Dynamic Model for Underwater Image Enhancement. In Proceedings of the 31st ACM International Conference on Multimedia (MM ’23), October 29–November 3, 2023, Ottawa, ON, Canada. ACM, New York, NY, USA, 10 pages.   

[7]        J Pan, Q Ma*，C Bai, “Reducing Semantic Confusion: Scene-aware aggregation Network for Remote Sensing Cross-modal Retrieval.” ICMR ’23: International Conference on Multimedia Retrieval, June 12–15, 2023, Thessaloniki, Greece. ACM, New York, NY, USA.

[8]        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, 37 (4), 5096-5104, 2023

[9]        X. Wang, M. Shao, D. Guo, Y. Cui, X. Huang, M. Xia, C. Bai, “Multi-Stage Aggregation Transformer for Medical Image Segmentation” , 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

[10]     S. Chan, W. Wang, Z. Shao, C. Bai, “SGPT: The Secondary Path Guides the Primary Path in Transformers for HOI Detection”, 2023 IEEE International Conference on Robotics and Automation (ICRA)

[11]     D. Cai, P. Mu*, S. Chan, Z. Shao and C. Bai, Towards General and Fast Video Derain via Knowledge Distillation, 2023 IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, 2023, pp. 1949-1954

[12]     P. Mu, J. Fang, H. Qian and C. Bai*, Transmission and Color-guided Network for Underwater Image Enhancement, 2023 IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, 2023，pp. 1337-1342

[13]     Z. Liu, P. Mu*, H. Xu and C. Bai, Histogram-guided Video Colorization Structure with Spatial-Temporal Connection, 2023 IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, 2023, pp. 1625-1630

[14]     S. Chan, J. Cui, Y. Wu, H. Wang* and C. Bai, Visible-Xray Cross-Modality Package Re-Identification, 2023 IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, 2023, pp. 2579-2584

[15]     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.

[16]     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

[17]     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

[18]     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

[19]     T Han, P Hao, C Bai, “Structural and Temporal Learning for Dropout Prediction in MOOCs”, In: Knowledge Science, Engineering and Management. KSEM 2022. Lecture Notes in Computer Science, vol. 13369. Springer, Cham.

[20]     J. Dang, Y. Liu, W. Shuai, C. Bai and S. Tian, Edge-preserving Image Smoothing via Counting-weighted Total Variation, 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP), 2022, pp. 1-6

[21]     K. Ying, Z. Wang, C. Bai and P. Zhou, ISDA: Position-Aware Instance Segmentation with Deformable Attention, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 2619-2623

[22]     D Wu, P Hao, Y Zheng, T Han, C Bai, “Classmates Enhanced Diversity-Self-Attention Network for Dropout Prediction in MOOCs”, International Conference on Neural Information Processing, 609-620, 2021

[23]     B Ye, S Mao, P Hao, W Chen, C Bai. Community Enhanced Course Concept Recommendation in MOOCs with Multiple Entities. In: Knowledge Science, Engineering and Management. KSEM 2021. Lecture Notes in Computer Science, vol 12816. Springer, Cham. https://doi.org/10.1007/978-3-030-82147-0_23

[24]     P Hao, X Xie, T Han, and C Bai. Overlap classification mechanism for skeletal bone age assessment. Proceedings of the 2nd ACM International Conference on Multimedia in Asia. Association for Computing Machinery, Article 33, 1–7. DOI: 10.1145/3444685.3446286

[25]     C Huang, S Chan, C Bai*, W Ding, J Zhang*. Tropical Cyclones Tracking Based on Satellite Cloud Images: Database and Comprehensive Study. International Conference on Multimedia Modeling 2021

[26]     P Zhou, C Bai*, K Ying, J Xia and Lixin Huang, “ RWMF: A Real-World Multimodal Foodlog Database”, 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 962-968

[27]     J Chen, L Zhang, C Bai* and K Kpalma, Review of Recent Deep Learning Based Methods for Image-Text Retrieval, 2020 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2020, pp. 167-172, doi: 10.1109/MIPR49039.2020.00042.

[28]     C Bai, Chao Zeng, Qing Ma, Jinglin Zhang, and Shengyong Chen, “Deep Adversarial Discrete Hashing for Cross-Modal Retrieval”, Proceedings of the 2020 International Conference on Multimedia Retrieval (ICMR ’20). Association for Computing Machinery, New York, NY, USA, 525–531.

[29]     H Li, C Bai*, L Huang, Y Jiang, S Chen, “Instance Image Retrieval with Generative Adversarial Training”, International Conference on Multimedia Modeling, 381-392, 2020

[30]     P Hao, E Manhando, T Ye, C Bai*, “Video Summarization based on Sparse Subspace Clustering with Automatically Estimated Number of Clusters”, Proceedings of the ACM Multimedia Asia, 1-6, 2019

[31]     Y Fu, C Wang, Y Fu, YX Wang, C Bai, X Xue, YG Jiang, “Embodied One-Shot Video Recognition: Learning from Actions of a Virtual Embodied Agent”, Proceedings of the 27th ACM International Conference on Multimedia, 411-419, 2019

[32]     W Zhang, Q Zhang, J Cheng, C Bai, P Hao, “End-to-End Panoptic Segmentation with Pixel-Level Non-Overlapping Embedding”, 2019 IEEE International Conference on Multimedia and Expo (ICME), 976-981

[33]    Pengfei Zhou, Cong Bai*, Jie Xia, ZJUTCVR Team at ImageCLEFlifelog2019 Lifelog Moment Retrieval Task, Working Notes of CLEF 2019, Lugano, Switzerland, September 9-12, 2019.

[34]    L Huang, C Bai*, Y Lu, S Chen, Q Tian. Adversarial Learning for Content-Based Image Retrieval,  2019 IEEE Conference on Multimedia Information Processing and Retrieval, USA, March, 2019

[35]    C Bai, J Chen, Q Ma, Z Liu, S Chen. Deep Residual Net Based Compact Feature Representation for Image Retrieval, Pacific Rim Conference on Multimedia, 737-747, 2018

[36]    P Hao, Y Chen, S Chokuwa, F Wu, C Bai*. Skeletal Bone Age Assessment Based on Deep Convolutional Neural Networks, Pacific Rim Conference on Multimedia, 408-417, 2018

[37]    J Chen, C Bai*, L Huang, Z Liu, S Chen, Visual Saliency Fusion Based Multi-feature for Semantic Image Retrieval, CCF Chinese Conference on Computer Vision, 126-136, 2017

[38]    P Hao, E Manhando, C Bai*, Y Huang, Hierarchical Tree Representation Based Face Clustering for Video Retrieval, Pacific Rim Conference on Multimedia, 347-357, 2017

[39]    JW Zheng, P Yang, S Fang, C Bai*,  Block Cluster Based Dictionary Learning for Image De-noising and De-blurring, Pacific Rim Conference on Multimedia, 818-826, 2017

[40]    C Bai, J Chen, J Zhang, K Kpalma, J Ronsin. Sparse representation based histogram in color texture retrieval, Pacific Rim Conference on Multimedia, 55-64, 2016

[41]    H Song, Z Liu, H Du, G Sun, C Bai, Saliency detection for RGBD images, Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 72-77, 2015

[42]    W Lu, C Bai, K Kpalma, J Ronsin. Multi-object tracking using sparse representation, IEEE International Conference on Acoustics, Speech and Signal Processing, 2312-2316, 2013

[43]    K Kpalma, C Bai, MMezouar, KBelloulata, N Taleb, LBelhallouche, D Boukerroui. A new histogram-based descriptor for images retrieval from databases, Advances in intelligent analysis of medical data and decision support systems, 101-112, 2013

[44]    C Bai, K Kpalma, J Ronsin. Color textured image retrieval by combining texture and color features, Proceedings of the 20th European Signal Processing Conference (EUSIPCO), 170-174, 2012

[45]    C Bai, K Kpalma, J Ronsin. Analysis of histogram descriptor for image retrieval in DCT domain, Intelligent Interactive Multimedia Systems and Services, 227-235, 2011

授权发明专利：

1.   201910467500.9: 一种基于条件生成对抗网络的图像描述生成方法(第一发明人)

2.   201810154813.4: 一种无监督对抗训练的基于内容的图像检索方法(第一发明人)

3.   201910467500.9: 一种基于条件生成对抗网络的图像描述生成方法(第一发明人)

4.   201811538815.X: 一种基于深度哈希学习优化的图像检索方法（第二发明人）

5.   201710411668.9：一种面向图像分类的深度卷积神经网络优化方法（第一发明人）

6.       201710411660.2:一种基于深度学习的快速图像分类方法(第一发明人)

7.       200810200309.X: 在彩色视频图像中提取车辆的方法 (第一发明人)

200810200310.2: 复杂场景中单个人脸的实时跟踪方法 (第二发明人) 

综合获奖情况：

2022.06    浙江工业大学校级优秀硕士学位论文指导教师

2021.01    浙江工业大学研究生“我心目中的好导师”

2020.10    浙江工业大学毕业设计优秀指导教师

2020.01    浙江工业大学计算机学院优秀教师

2020.01    浙江工业大学本科教学优课优酬奖

2019.06    浙江工业大学校级优秀硕士学位论文指导教师

2019.01    浙江工业大学计算机学院十佳党员

2019.01    浙江工业大学本科教学优课优酬奖

2018.10     浙江工业大学优秀班主任

2018.01    浙江工业大学本科教学优课优酬奖

2017.10     浙江工业大学毕业设计优秀指导教师

2017.01    浙江工业大学计算机学院十佳党员

2016.01    浙江工业大学计算机学院优秀教师

2015.06    浙江工业大学计算机学院青年教师讲课比赛十佳

2009.09     国家留学基金委国家公派留学生奖学金 （UT-INSA项目）

2008.12     上海市优秀学生

2005.02     山东农业大学优秀班主任

2007.05    上海大学社区优秀学生

2007.07    上海大学优秀研究生党务工作者

2007.12    上海大学优秀学生

学术获奖：

2024.10  中国计算机学会技术发明二等奖

2023.08  中国多媒体大会最佳论文奖

2020.09  中国多媒体大会最佳墙报奖

2019.10  IFTC 最佳论文奖

2019.08  中国多媒体大会优秀论文奖

2018.09  Pacific Rim Conference on Multimedia （CCF C类会议）最佳审稿人奖

2017.08      中国多媒体大会最佳Poster奖