于瑞国

1. 2023年
2. Ruiguo Yu, Yihang Zhao, Mei Yu, Jie Gao, Chenhan Wang, Ruixuan Zhang, Xuewei Li. Region-Specific Prototype Customization for Weakly Supervised Semantic Segmentation. The European Conference on Artificial Intelligence (ECAI). (CCF B 类会议)
3. Ruiguo Yu, Shaoqi Yan, Jie Gao, Mankun Zhao, Xuzhou Fu, Yang Yan, Ming Li, Xuewei Li*. FBN: Weakly Supervised Thyroid Nodule Segmentation Optimized by Online Foreground and Background. Ultrasound in Medicine & Biology. Ultrasound in Medicine And Biology. (SCI 三区)
4. Xuewei Li, Jinming Ma, Jian Yu, Mankun Zhao, Mei Yu*, Hongwei Liu, Weiping Ding, Ruiguo Yu. A structure-enhanced generative adversarial network for knowledge graph zero-shot relational learning. Information Sciences. (SCI一区)
5. Mei Yu, Qianyu Zhang, Jian Yu, Mankun Zhao, Xuewei Li*, Di Jin, Ming Yang , Ruiguo Yu. Knowledge graph completion using topological correlation and multi-perspective independence. Knowledge-Based Systems. (SCI一区)
6. Mei Yu, Kun Zhu, Mankun Zhao, Jian Yu, Tianyi Xu, Di Jin, Xuewei Li*, Ruiguo Yu. Learning Neighbor User Intention on User-Item Interaction Graphs for Better Sequential Recommendation. ACM Transactions on the Web (TWEB). (CCF B类期刊)
7. Mei Yu, Tingxu Jiang, Jian Yu, Mankun Zhao, Jiujiang Guo, Ming Yang , Ruiguo Yu and Xuewei Li*. SEPAKE: A Structure-Enhanced and Position-Aware Knowledge Embedding Framework for Knowledge Graph Completion. Applied Intelligence. (SCI 二区)
8. Mei Yu, Jiujiang Guo, Jian Yu, Tianyi Xu, Mankun Zhao, Hongwei Liu, Xuewei Li*, Ruiguo Yu. TBDRI:block decomposition based on relational interaction for temporal knowledge graph completion. Applied Intelligence. (SCI 二区)
9. Mei Yu, Yunke Chen, Mankun Zhao, Tianyi Xu, Jian Yu, Ruiguo Yu, Hongwei Liu, Xuewei Li∗. Semantic Piecewise Convolutional Neural Network with Adaptive Negative Training for Distantly Supervised Relation Extraction. Neurocomputing. (SCI 二区)
10. Xuewei Li，Aitong Sun，Mankun Zhao，Jian Yu，Kun Zhu，Di Jin，Mei Yu*，Ruiguo Yu. Multi-Intentions Oriented Contrastive Learning for Sequential Recommendation. WSDM 2022. (CCF B类会议)
11. 2022年
12. Ruiguo Yu, Xianzhi Zhang, Mankun Zhao, Yang Yan, Ming Li, Mei Yu. CAANet: CAM-guided Adaptive Attention Network for Weakly Supervised Semantic Segmentation of Thyroid Nodules . IEEE International Conference on Bioinformatics and Biomedicine (BIBM). (CCF B 类会议)
13. Yaodong Song, Jiaxing Liu, Longbiao Wang, Ruiguo Yu, Jianwu Dang. Multi-Stage Graph Representation Learning for Dialogue-Level Speech Emotion Recognition. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
14. Xuewei Li, Aitong Sun, Mankun Zhao, Jian Yu, Kun Zhu, Di Jin, Mei Yu*, Ruiguo Yu. Multi-Intentions Oriented Contrastive Learning for Sequential Recommendation . WSDM 2022 (CCF B 类会议).
15. Mei Yu, Jiujiang Guo, Jian Yu, Tianyi Xu, Mankun Zhao, Hongwei Liu, Xuewei Li*, Ruiguo Yu. BDRI: block decomposition based on relational interaction for knowledge graph completion . Data Mining and Knowledge Discovery (CCF B 类会议).
16. Xuewei Li, Jinming Ma, Jian Yu, Mankun Zhao, Mei Yu*, Hongwei Liu, Weiping Ding, Ruiguo Yu. A structure-enhanced generative adversarial network for knowledge graph zero-shot relational learning. Information Sciences (SCI 1区).
17. Mei Yu, Qianyu Zhang, Jian Yu, Mankun Zhao, Xuewei Li*,Di Jin, Ming Yang, Ruiguo Yu. Knowledge graph completion using topological correlation and multi-perspective independence. Knowledge-Based Systems (SCI 1区).
18. 2021年
19. Ruixuan Zhang, Wenhuan Lu, Xi Wei, Jialin Zhu, Han Jiang, Zhiqiang Liu, Jie Gao, Xuewei Li*, Jian Yu, Mei Yu, and Ruiguo Yu. A Progressive Generative Adversarial Method for Structurally Inadequate Medical Image Data Augmentation . IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. (SCI 二区期刊论文)
20. Mei Yu, Junbin Wei, Chenhan Wang, Han Jiang, Jian Yu, Ruixuan Zhang, Xuewei Li(*), RuiguoYu. EDGE ENHANCEMENT NETWORK FOR WEAKLY SUPERVISED SEMANTIC SEGMENTATION . IEEE International Conference on Multimedia and Expo (ICME) 2021. (CCF B 类会议)
21. 2020年
22. Xiang Ying, Yulin Zhang, Xi Wei, Mei Yu, Jialin Zhu, Jie Gao, Zhiqiang Liu, Xuewei Li*, Ruiguo Yu*. MSDAN: Multi-Scale Self-Attention Unsupervised Domain Adaptation Network for Thyroid Ultrasound Images[C]. BIBM, 2020, 871-876.
23. Ruiguo Yu, Jiachen Hu, Mei Yu, Xi Wei, Han Jiang, Jialin Zhu, Zhiqiang Liu, Jie Gao, and Xuewei Li*. Boundary-aware Segmentation Network Using Multi-Task Enhancement for Ultrasound Image[C]. BIBM, 2020, 1210-1214.
24. Mei Yu, Minyutong Cheng, Xubin Li, Zhiqiang Liu, Jie Gao, Xuzhou Fu, Xuewei Li*, and Ruiguo Yu. Tumor Classification Based on Approximate Symmetry Using Dual-Branch Complementary Fusion Network [C]. BIBM, 2020, 1215-1218.
25. Mei Yu, Zhuo Zhang, Xuewei Li*, Jian Yu, Jie Gao, Zhiqiang Liu, Bo You, Xiaoshan Zheng, Ruiguo Yu*. Superposition Graph Neural Network for offshore wind power prediction [J]. Future Generation Computer Systems, 2020, 113, 145-157.
26. Ziyu Bai, Luchen Chang, Ruiguo Yu, Xuewei Li*, Xi Wei*, Mei Yu, Zhiqiang Liu, Jie Gao, Jialin Zhu, Yulin Zhang, Shuaijie Wang, ZhuoZhang. Thyroid nodules risk stratification through deep learning based on ultrasound images [J]. Medical Physics, 2020, 47(11): 6455-6465.
27. Ruiguo Yu, Jiachen Hu, Xi Wei , Mei Yu, Jialin Zhu, Jie Gao, Zhiqiang Liu , Xuewei Li*. Generative Adversarial Network using Multi-modal Guidance for Ultrasound Images Inpainting [C]. ICONIP, 2020, 338-349.
28. Mei Yu, Chengchang Zhen , Ruiguo Yu, Xuewei Li, Tianyi Xu , Mankun Zhao , Hongwei Liu , and Xuyuan Dong*. GFEN：Graph Feature Extract Network for Click-Through Rate Prediction[C]. ICONIP 2020, 444-454.
29. Qingzhi Hou, Yifeng Chen, Mei Yu, Ruiguo Yu, Jian Yu, Mankun Zhao, Tianyi Xu, Xuewei Li*. Order-aware Embedding Non-sampling Factorization Machines for Context-Aware Recommendation[C]. ICONIP 2020, 780-788.
30. Mei Yu, Minyutong Cheng， Han Jiang, Jining Shen, Ruiguo Yu , Xiang Ying, Jie Gao, Xuewei Li*. Multi-Scale Object Detection in Optical Remote Sensing Images Using Atrous Feature Pyramid Network[C]. ICONIP 2020, 461-472.
31. Mei Yu, Suiwu Li, Ruiguo Yu, Xuewei Li, Tianyi Xu, Mankun Zhao , Hongwei Liu , Jian Yu*. Multi-level Feature Extraction in Time-weighted Graphical Session-based Recommendation[C]. ICONIP 2020, 504-515.
32. Xiang Ying, Yulin Zhang, Mei Yu, Xuewei Li, Xi Wei, Jialin Zhu, Jie Gao, Zhiqiang Liu, Hongqian Shen,Ruixuan Zhang, Ruiguo Yu*. Cascade Marker Removal Algorithm for Thyroid Ultrasound Images [J]. Medical & Biological Engineering & Computing, 2020. 58: 2641-2656.
33. 2019年
34. RuiguoYu, Zhiqiang Liu, Xuewei Li, Wenhuan Lu, Degang Ma, Mei Yu, Jianrong Wang, BinLi. Scene learning: Deep convolutional networks for wind power prediction by embedding turbines into grid space. . Applied Energy, Volume 238, Pages 249-257. （SCI 一区顶刊，IF=8.8）[PDF]
    doi: 10.1016/j.apenergy.2019.01.010
35. Xiang Ying, Qiang Wang, Xuewei Li, Mei YuHan Jiang, Jie Gao, Zhiqiang Liu, Ruiguo Yu Multi-Attention Object Detection Model in Remote Sensing Images Based on Multi-Scale [J]. IEEE Access. （SCI 二区期刊）
36. Chunfeng Liu, Ying Liu, Mei Yu, RuiguoYu, Xuewei Li, Mankun Zhao, Tianyi Xu, Hongwei Liu, Linying Xu RL4HIN: Representation Learning for Heterogeneous Information Networks [C]. //IEEE Global Communications Conference(GLOBECOM2019)
37. Mei Yu, Yue Hu, Xuewei Li, Mankun Zhao, Tianyi Xu, Hongwei Liu, Linying Xu, RuiguoYu Paper Recommendation with Item-level Collaborative Memory Network [C]. //KSEM
38. Jianrong Wang, Ruixuan Zhang, Xi Wei, Xuewei Li, Mei Yu, Jian Yu, Jialin Zhu, Jie Gao, Hongqian Shen, Zhiqiang Liu, Ruiguo Yu. A Feedback Attention Network for Classification and Visualization of Thyroid Nodules on Ultrasound Images [C]. //International Conference on Neural Information Processing 2019.（CCF C类会议）
39. Shizhan Chen, Bo You, Xuewei Li, Mei Yu, Jian Yu, Zhuo Zhang, Jie Gao, Zhiqiang Liu, Ruiguo Yu A Wind Power Prediction Method Based on Deep Convolutional Network with Multiple Features [C]. //International Conference on Neural Information Processing 2019.（CCF C类会议）
40. Chunfeng Liu, Yan Zhang, Mei Yu, Ruiguo Yu, Xuewei Li, Mankun Zhao, Tianyi Xu, Hongwei Liu, Jian Yu. Text-Augmented Knowledge Representation Learning Based on Convolutional Network [C]. //International Conference on Neural Information Processing 2019.（CCF C类会议）
41. 2018年
42. Ruiguo Yu, Jie Gao, Mei Yu, Tianyi Xu, Mankun Zhao, Jie Zhang, Ruixuan Zhang, Zhuo Zhang. LSTM-EFG for wind power forecasting based on sequential correlation features. Future Generation Computer Systems. （SCI 二区期刊，IF=4.639) [PDF]
    doi: 10.1016/j.future.2018.09.054
43. Ruiguo Yu, Zhiqiang Liu, Jianrong Wang, Mankun Zhao, Jie Gao, Mei Yu. Analysis and Application of the Spatio-temporal Feature in Wind Power Prediction. International Journal on Computer Science and Engineering, Volume 33(4), Pages 267-274.（SCI 四区期刊, IF=0.855）
44. Ruiguo Yu, Kai Liu, Xi Wei, Jialin Zhu, Xuewei Li*, Jianrong Wang, Xiang Ying, and Zhihui Yu. Localization of Thyroid Nodules in Ultrasonic Images [C]. // International Conference on Wireless Algorithms, Systems, and Applications. Springer, 2018:635-646. (CCF C类会议)
    doi: 10.1007/978-3-319-94268-1_52
45. Mei Yu, Jie Zhang, Jianrong Wang, Jie Gao, Tianyi Xu, Ruiguo Yu*. The Research of Spam Web PageDetection Method Based on Web Page Differentiation and Concrete Cluster Centers [C]. // International Conference on Wireless Algorithms, Systems, and Applications. Springer, 2018:820-826. (CCF C类会议)
    doi: https://doi.org/10.1007/978-3-319-94268-1_73
46. Jianrong Wang, Chao Lou, Ruiguo Yu, Jie Gao, Tianyi Xu, Mei Yu*, and Haibo Di. Research on Hot Micro-blog Forecast Based on XGBOOST andRandomForest [C]. KSEM 2018: 350-360. (CCF C类会议)
    doi: https://doi.org/10.1007/978-3-319-99247-1_31
47. Xuewei Li, Shuaijie Wang, Xi Wei, Jialin Zhu, Ruiguo Yu*, Mankun Zhao, Mei Yu, Zhiqiang Liu, Shupei Liu. Fully Convolutional Networks for Ultrasound Image Segmentation of Thyroid Nodules[C]. 2018 IEEE 20th International Conference on High Performance Computing and Communications. 2018:886-890. (CCF C类会议)
48. Jianrong Wang, Liyuan Wang, Ju Zhang, Jianguo Wei, Mei Yu, Ruiguo Yu*. A Large-scale Depth-based Multimodal Audio-Visual Corpus in Mandarin [C]. 2018 IEEE 20th International Conference on High Performance Computing and Communications. 2018:816-885. (CCF C类会议) 10.1109/HPCC/SmartCity/DSS.2018.00146
49. Mei Yu, Jie Zhang, Tianyi Xu, Mankun Zhao, Zhiqiang Liu, Ruiguo Yu*, Mengrui Pan，Hongyue Mao. A Knowledge Recommendation Algorithm Based on Time Migration[C]. 2018 IEEE 20th International Conference on High Performance Computing and Communications. 2018:377-383. (CCF C类会议)
50. Mei Yu, Tianyi Xu, Gao Jie, Ruiguo Yu, Rui Deng, Ying Liu, Yan Zhang, Shuang Feng. Research on Integrating Online Learning into Offline Teaching[C]//2018 13th International Conference on Computer Science & Education (ICCSE). IEEE, 2018: 1-5. （EI 会议）
51. Xiang Ying, Zhihui Yu, Ruiguo Yu, Xuewei Li, Mei Yu, Mankun Zhao, Kai Liu. Thyroid Nodule Segmentation in Ultrasound Images Based on Cascaded Convolutional Neural Network. International Conference on Neural Information Processing 2018.（CCF C类会议）
52. Xuewei Li, Hongqian Shen, Chenhan Wang, Han Jiang, Ruiguo Yu, Jianrong Wang, Mankun Zhao. Dual-Convolutional Enhanced Residual Network for Single Super-Resolution of Remote Sensing Images. International Conference on Neural Information Processing 2018.（CCF C类会议）
53. Ruiguo Yu, Xuzhou Fu, Han Jiang, Chenhan Wang, Xuewei Li, Mankun Zhao, Xiang Ying, Hongqian Shen. Remote Sensing Image Segmentation by Combining Feature enhanced with Fully Convolutional Network. International Conference on Neural Information Processing 2018.（CCF C类会议）
54. Jianguo Wei, Fan Yang, Ju Zhang, Ruiguo Yu, Mei Yu, Jianrong Wang. Three-dimensional Joint Geometric-Physiologic Feature for Lip-Reading. International Conference on Tools with Artificial Intelligence 2018.（CCF C类会议）
55. 2017年
56. Ruiguo Yu, Jianrong Wang, Tianyi Xu, Jie Gao, Yongli An, Gong Zhang, Mei Yu. Authentication with block-chain algorithm and text encryption protocol in calculation of social network [J]. IEEE Access, 2017, 5: 24944-24951. (SCI 二区期刊，IF=3.557)
    DOI: 10.1109/ACCESS.2017.2767285
57. Ruiguo Yu, Jianrong Wang, Tianyi Xu, Jie Gao, Kunyu Cao, Mei Yu. Communities Mining and Recommendation for Large-Scale Mobile Social Networks [C].// International Conference on Wireless Algorithms, Systems, and Applications. Springer, Cham, 2017:266-277.
    doi: 10.1007/978-3-319-60033-8_24
58. Ruiguo Yu, Caibao Huang, Mankun Zhao, Jie Gao, Mei Yu.Visual Analysis Of News Event Competitiveness. The Seventh International Conference on Instrumentation & Measurement, Computer, Communication and Control 2017.(已发表尚未检索)
59. Jianrong Wang, Wenkai Shi, Ru Wang, Ruiguo Yu, Mei Yu, Xiang Ying. A Poisson-disk Sampling based Strategy for Node Placement in Wireless Sensor Network. The Seventh International Conference on Instrumentation & Measurement, Computer, Communication and Control 2017.
60. Ruiguo Yu, Zhiqiang Liu, Mei Yu, Mankun Zhao, Tianyi Xu. Difficulty and Typicality-based Problem Recommendation Algorithm Implementation and Analysis. The Seventh International Conference on Instrumentation & Measurement, Computer, Communication and Control 2017.
61. Ruiguo Yu, Yuwang Lin, Mankun Zhao, Mei Yu. Bursty events detection approach on Chinese microblog based on splay tree optimization. The Seventh International Conference on Instrumentation & Measurement, Computer, Communication and Control 2017.
62. 2016年以前
63. Ruiguo Yu, Xiaodong Xie, Yongxing Li, Mankun Zhao, Xuyuan Dong, Muwen He, Peng Chang, Zan Wang. Online Hot Topic Detection Based on Segmented Timeline and Aging Theory[J]. International Journal of Hybrid Information Technology, 2016, 9(2): 247-258.
64. Ruiguo Yu, Yongxing Li, Zhiyong Cai, Xuyuan Dong*, Muwen He, Peng Chang, Zan Wang. Recommendation of programming problems in online judge platform: an experimental research[J]. Journal of Computational Information Systems,2015,v11,n20,p7263-7270
65. Ruiguo Yu, Zhiyong Cai, Xiuping Du, Muwen He, Wang Zan, Binlan Yang, Peng Chang. The research of the recommendation algorithm in online learning[J]. International Journal of Multimedia and Ubiquitous Engineering, 2015, 10(4): 71-80.
66. Ruiguo Yu, Yuexian Hou, and Pilian He. "Self-organizing isometric embedding based on statistical criterions." Fuzzy Systems and Knowledge Discovery. Springer Berlin Heidelberg, 2006. 410-419., SCI(BFD14) &EI20064510224193
67. Ruiguo Yu, Hongyue Mao, Zan Wang, Minjie Zhang, Zhenxia Yuan, Muwen He, Peng Chang, “Lable-based Hybrid Recommendation Algorithm:Implementation and Analysis”, Journal of Information and Computational Science, 2015-12(6): 2221-2228, EI2015800797050
68. Ruiguo Yu, Minjie Zhang, Zan Wang, Zhenxia Yuan, “BP-CF hybrid recommendation algorithm: Implementation and analysis”, ICIC Express Lett Part B Appl, 2015-6(1), 227-232, EI20145100341083
69. Ruiguo Yu, Mankun, Peng Chang, MuWen He. Online hot topic detection from web news archive in short terms[C]//Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on. IEEE, 2014: 919-923.
70. Zhenxia Yuan, Ruiguo Yu, Mankun Zhao, Xiuping Du, Ming Lei, Wenyong Dong, “Vibration model based multi-path traffic allocation algorithm for wireless mesh networks”, Journal of Information and Computational Science, 2013-10(5): 1253-1260, EI20131616221318
71. Ruiguo Yu, Zhenxia Yuan, Mankun Zhao, Mei Yu, and Xu Lu . “Damping Based Traffic Allocation in Wireless Machine-to-Machine Communications Networks.”, International Journal of Distributed Sensor Networks, 2013, SCI261HN
72. Xu Lu, Ruiguo Yu, Wenyong Dong, Ming Lei, Lianxiu Hao, “Damping based multi-path traffic allocation algorithm for wireless networks”, Journal of Computational Information Systems, 2012-8(10): 4169-4175, EI20122615179165

• 2019.01-2022.12，国家自然基金项目面上项目，45万
  拓扑知识网络构建与个性化学习路径规划关键技术研究，61877043，45万
• 2019.01-2022.12，国家自然科学基金
  基于多模态观测的跨语言语音发音机理研究，37万
• 2018.10-2021.09，天津市新一代人工智能科技重大专项
  基于标准化甲状腺结节超声影像数据集的智能辅助分析系统研发，100万
• 2018.10-2020.09，天津市重点研发计划科技支撑重点项目
  基于计算机视觉的钣金件自动检测系统研发，18YFZCGX00960
• 2017.11-2019.10，武清区科技型企业创新资金项目
  油井动态塑胶注入盘根密封井口装置系统研究，20万
• 2013-2015，天津大学信息化建设项目
  天津大学网络教学平台及开放式学术平台的建设
• 2009.10-2012.09，天津市应用基础及前沿技术研究计划
  伊藤算法理论在动态仿真优化中的关键技术研究，09JCYBJC27700，4万

IT学科创新创业训练基地介绍

　　 天津大学IT学科创新创业训练基地坐落于天津大学北洋园校区47楼5层，占地面积超过600平方米， 包括“学科竞赛实验室”、“创客空间”、“创新创业实验室”和“创新竞赛实验室”，能够同时容纳120名 以上的学生进行科学研究、训练以及创新创业等活动。

　　 天津大学IT学科创新创业训练基地是托依托于天津大学计算机实验教学中心的独立运行实验室， 实行单独的管理和“开放、流动、联合”运行机制；是学校创新人才培养体系的重要组成部分， 基地是IT相关学科进行创新创业的重要场所，为同学们搭建创意分享空间，建立跨界协作桥梁。 基地将激励学生提高动手创造能力，鼓励同学们发扬创新实践精神，积极创造，勇于创业。

　　 训练基地的工作围绕创新创业项目展开。 首先训练基地将为学生提供国家大学生创新项目辅导、设立自主研究项目，开发探索性的创新项目； 同时训练基地将与外部公司合作在这些项目中选择优秀的有发展前景的项目进入创客空间进行重点孵化， 力争在几年内培育出能够走向市场并有一定影响力的好项目，其次训练基地将指导学生参加IT学科有影响力的多个学科竞赛， 如ACM国际大学生程序设计大赛 、飞思卡尔全国大学生智能车大赛、中国创新创业大赛、Intel杯全国大学生电子设计竞赛、 Robocup中国公开赛暨中国机器人大赛、Robomaster机器人对抗赛等国内外知名的高水平竞赛， 力争在这些竞赛中获得更好的成绩，培养更多有实践动手能力的卓越工程师人才。

　　 天津大学IT学科创新创业训练基地将顺应时代发展潮流，敢于创新，探索创新创业教育与人才培养机制改革的深度融合， 将创新创业教育持续引向深入，将基地建设成为学校相关学科学生科技创新及创业的孵化平台， 让广大学生在基地中识水、试水、游水，培育创业精神，提升创业能力。

学科竞赛实验室

　　 学科竞赛实验室是天津大学ACM-ICPC参赛队伍及CCPC参赛队伍的训练基地。参加训练的队员在教师的指导下在实验室进行训练。实验室 全年开放，包括寒假、暑假、五一、十一等假期，队员可随时来实验室进行训练。

创新竞赛实验室

　　 创新竞赛实验室是理论创新及竞赛准备的实验基地。实验室为学生进行基础理论创新提供环境；实验室还为数支比赛队伍准备比赛提供支持， 包括Intel杯ESDC比赛队伍、RoboCup比赛队伍等；此外实验室还提供NAO智能机器人开发、无人机应用开发平台及环境。

创客空间

      创客空间为大学生创业提供平台。学生以组为单位，经过筛选符合条件者可进入实验室进行创新创业。实验室为创业者提供创业空 间。创业学生可在该实验室中参与开发企业项目、科研项目以及自己的创新项目。实验室将对项目进度进行进行评估，指导老师将针对项 目进展情况对学生进行管理，并提供技术方面的指导。

创新创业实验室

      创新创业实验室是旨在帮助大学生将创新的思想进行产品化的实验室。实验室搜集国家、企业等发布的需求，为学生寻找创新的切 入点。此外，实验室会定期邀请成功的创业队伍，企业中的相关人士来进行沙龙、宣讲等活动，为学生传授创新创业的方法。