知识工程与协同计算科研团队

一、团队概况

知识工程与协同计算科研团队主要从事面向能源大数据、新型电力系统的领域知识图谱、自然语言处理、计算机视觉、协同计算模型等领域的研究。

团队现有教授1人，副教授3人，讲师4人，博士5人，上海市扬帆计划人才1名。团队成员担任CCF C类会议Collaboratecom TPC member，承担IEEE Signal Processing Letters、ACM's Transactions on Internet Technology、Frontiers of Computer Science、Transactions on Intelligent Transportation Systems、Journal of Cloud Computing、Journal of Internet Technology等SCI期刊和国际会议审稿人。

团队现已毕业研究生45名，主要在上海电力公司、安徽电力公司、浙江电力公司、广东电力公司、花旗银行、阅文集团、中国银行、中国建设银行、中国联通等知名企业就业。

二、团队成员

1、毕忠勤，博士，教授，硕士生导师，研究方向：大数据与人工智能

2、栗风永，博士，教授，硕士生导师，研究方向：多媒体信息安全

3、周    平，硕士，副教授，研究方向：电力大数据分析处理

4、成贵学，硕士，副教授，硕士生导师，研究方向：智能微电网

5、楼越焕，硕士，讲师，研究方向：新型电力系统

6、张伟娜，博士，讲师，硕士生导师，研究方向：自然语言处理

7、王宝楠，博士，讲师，硕士生导师，研究方向：量子人工智能

三、科研项目情况

近五年来，主持与参与国家自然基金项目6项；主持与参与科技部外专项目、上海市自然科学基金、扬帆计划、上海市地方能力建设项目、上海科委软科学课题等省部级项目12项，主持国家电网、上海电力公司、广西电力公司等企业课题13项，年均科研经费超150万元。

四、发表论文情况

近五年来，年均发表SCI检索学术论文10余篇。部分代表性的学术论文有：

[1] Zhongqin Bi, Xiaoting Yang, Baonan Wang, Weina Zhang, Zhen Dong, Dan Zhang. Quantum annealing algorithm for fault section location in distribution networks. Applied Soft Computing, 2023.

[2] Bi Zhongqin, Jing Lina, Sun Chao, Shan Meijing, Zhong Wei. Transmission line abnormal target detection algorithm based on improved YOLOX      . Multimeida Tools and Applications, 2023.

[3] Zhongqin Bi, Huanfeng Li, Weina Zhang, Zhen Dong. Variational Bayesian Clustering Algorithm for Unsupervised Anomalous Sound Detection Incorporating VH-BCL+. Multimeida Tools and Applications, 2023.

[4] 毕忠勤, 余晓婉, 王宝楠, 黄文焘, 张丹, 董真.   基于量子蚁群算法的配电网故障区段快速定位技术. 上海交通大学学报, 2023.

[5] Fengyong Li, Yang Sheng, Xinpeng Zhang and Chuan Qin. iSCMIS: Spatial-Channel Attention Based Deep Invertible Network for Multi-Image Steganography. IEEE Transactions on Multimedia, 2023.

[6] Fengyong Li, Zhen Qi, Xinpeng Zhang and Chuan Qin. Progressive histogram modification for JPEG reversible data hiding. IEEE Transactions on Circuits and Systems for Video Technology, 2023.

[7] Fengyong Li, Zongliang Yu, Kui Wu, Chuan Qin, and Xinpeng Zhang. Multi-modality ensemble distortion for spatial steganography with dynamic cost correction. IEEE Transactions on Dependable and Secure Computing, 2023.

[8] 栗风永，叶彬，秦川. 互注意力机制驱动的轻量级图像语义分割网络. 中国图象图形学报, 2023.

[9] Tianchen Zhang, Zhongqin Bi, Meijing Shan, Yongbin Li. IFGAN: Information fusion generative adversarial network for knowledge base completion. Expert Systems. 39(6), 2022.

[10] Zhongqin Bi, Kaian Deng, Wei Zhong, Meijing Shan. An Improved Dual-Subnet Lane Line Detection Model with a Channel Attention Mechanism for Complex Environments. CollaborateCom, 2022: 496-515.

[11] Zhongqin Bi, Yuanyuan Ma, Xiaoxian Yang, Ping Zhou. Research on wireless robot path planning under edge computing considering multistep searching and inflection points. Transactions on Emerging Telecommunications Technologies. 32(6), 2021.

[12] Zhongqin Bi, Ling Yu, Honghao Gao, Ping Zhou, Hongyang Yao. Improved VGG model-based efficient traffic sign recognition for safe driving in 5G scenarios. International Journal of Machine Learning and Cybernetics 12(11): 3069-3080 (2021)

[13] Zhongqin Bi, Lina Jing, Meijing Shan, Shuming Dou, Shiyang Wang. Hierarchical Social Recommendation Model Based on a Graph Neural Network. Wireless Communications and Mobile Computing, 1-10, 2021.

[14] Fengyong Li, Lianming Zhang, Chuan Qin, Kui Wu. Reversible data hiding for JPEG images with minimum additive distortion. Information Sciences 595: 142-158, 2022.

[15] Fengyong Li, Zongliang Yu, Chuan Qin. GAN-based spatial image steganography with cross feedback mechanism. Signal Process. 190: 108341, 2022.

[16] Fengyong Li, Yishu Zeng, Xinpeng Zhang, Chuan Qin. Ensemble Stego Selection for Enhancing Image Steganography. IEEE Signal Processing Letters 29: 702-706, 2022.

[17] Fengyong Li, Zhen Qi, Xinpeng Zhang, Chuan Qin. JPEG Reversible Data Hiding Using Dynamic Distortion Optimizing With Frequency Priority Reassignment. IEEE Transactions on Circuits and Systems for Video Technology. 32(12): 8849-8863, 2022.

[18] Weina Zhang, Xingming Zhang, Dongpei Chen. Causal neural fuzzy inference modeling of missing data in implicit recommendation system. Knowledge-Based Systems. 222: 106678, 2021.

五、所获荣誉情况

获上海市科技进步奖三等奖2项

六、意向加入要求

欢迎从事人工智能、大数据分析研究，踏实肯干，具有团队协作能力，对个人职业发展规划有清晰认识的同事加入。

联系邮箱：zqbi@shiep.edu.cn