王晓玲

王晓玲，bwin官网登录入口教授，教育部新世纪人才计划获得者。教育部装备预研创新团队负责人，教育部数据库课程虚拟教研室大模型赋能数据库教学专业组组长，获高校教师教学组织和教学发展体系建设研究项目。目前是《信息技术人工智能知识工程参考架构》国际标准草案专家组成员、中国计算机学会高级会员、中国计算机学会数据库专委会委员、中国中文信息学会语言与知识计算专委会委员、中国航空学会信息融合分会知识融合专业组组长、中国老年学和老年医学学会慢病远程与智能管理分会委员。

研究方向为数据管理技术、知识图谱、推荐技术、数据分析及隐私保护技术。目前，担任《Frontier of Computer Science》的青年编委。在SIGMOD、SIGIR、AAAI、IJCAI、ICDE、WWW、ICWS、CIKM、DASFAA、APWuEB等国际重要学术会议上发表篇论文六十余篇，在IEEE TKDE、JWSR、WWWJ、JCST、《计算机学报》、《软件学报》等国内外学术期刊上发表论文五十余篇。主持科技部、工信部、国家自然科学基金委、人社部等国家级项目）和省部级项目20余项（包括5项国家自然科学基金项目、2项国家重点项目等），4次荣获省部级科技进步奖，9次获得会议优秀论文称号，获得发明专利17项，获得软件著作权22项，出版英文专著2本。在教学方面，获教育部产学合作协同育人项目，获国家出版基金资助。

分布式图数据处理技术、知识图谱、序列推荐与序列数据分析、可解释性技术

本科生课程：

   1、《数据库系统原理》

   2、《数据库系统实践》

研究生和博士生课程：

   1、《数据管理与系统》

主持国家自然科学基金项目：

1. 1.  中医教育大模型关键技术（62477014），2025-01-01至2028-12-31

2. 2.  对话式推荐关键技术（61972155），2020-01-01至2023-12-31

3. 3.  海量众包数据管理的关键技术（61472141），2015-01-01至2018-12-31

4. 4.  XML个性化协作搜索及应用（61170085），2012-01-01至2015-12-31

5. 5.  XML压缩及其查询优化（60773075），2008-01-01至2010-12-31

6. 6.  数据库物理存储布局优化（60403019），2005-01-01至2007-12-31

在研的其他项目/课题：

1. 7.  金融舆情风险识别关键技术研究.国家人社部外国专家重点支撑计划项目(ZDKY2023085L)，2023.1-2024.12

2. 8.  开放域舆情风险识别、预警与处置，科技部重点研发计划课题（2021YFC3340702），2012.12 – 2024.11

3. 9.  融合介观尺度知识表征的认知机器学习理论与方法，国家自然科学基金重点项目（62136002），2022.1 - 2026.12

4. 10.面向事件推理的可解释性深度学习技术（8091B042239），教育部重点项目，2022.12-2025.12

5. 11.超大规模通用图求解器技术，华为，2023.10-2024.10

近几年发表的学术论文 （CCF 会议）

1.  1. Qifan Zhang, Junjie Yao, Xiaoling Wang. Effective Entry-wise Flow for Molecule Generation. ICDE2024 (CCF A)

2.  2. Huanran Zheng, Wei Zhu, Xiaoling Wang. NAT4AT: Using Non-Autoregressive Translation Makes Autoregressive Translation Faster and Better. The Web Conference 2024. WWW2024. (CCF A)

3.  3. Huanran Zheng, Wei Zhu, Xiaoling Wang. Chimera Model of Candidate Soups for Non-Autoregressive Translation. Database Systems for Advanced Applications 2024. DASFAA2024. (CCF B)

4.  4. Yihan Mei, Xinyu Wang, Dell Zhang, Xiaoling Wang. Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy. The Asia Pacific Web and Web-Age Information Management Joint International Conference on Web and Big Data. APWeb-WAIM 2024. (CCF C)

5.  5. Zichun Wang, Huanran Zheng, Xiaoling Wang. Filter-GLAT: Filter Glanced Decoder Output for Non-autoregressive Transformer. Asia-Pacific Web and Web-Age Information Management Joint International Conference on Web and Big Data 2023. APWeb-WAIM 2024. (CCF C)

6.  6. Jiannan Li, Zhenyu Zhang, Xiaoling Wang, Haoyang Li. Tree and Graph based Two-Stages Routing for Approximate Nearest Neighbor Search. APWeb-WAIM joint international conference on Web and Big Data. APWeb-WAIM 2024.(CCF C)

7.  7. Bo Zhong, Pengfei Wang, Xiaoling Wang. TS-LCL:Layer-wise Contrastive Learning for Unsupervised Time Series Domain Adaptation. APWeb-WAIM 2024. (CCF C)

8. 8. 王晓玲，岳文静，王昊奋，徐飞. 大语言模型技术融入数据库课程的教学探索. 计算机教育 2024. （CCF T2）

9. 9. 尚俊霖, 张振宇, 屈稳稳, 王晓玲. 面向分布式图计算的图划分技术综述. 计算机研究与发展. (CCF A)

10. 10. 岳文静，屈稳稳，林宽，王晓玲. 基于机器学习的基数估计技术综述. 计算机研究与发展 2024. （CCF A类，T1）

11.  11. Jian, Li, Huanran Zheng, Bofeng Chen, Tingliang Zhou, Hui-Ping Chen, Yanjun Li. A Survey on Spatiotemporal Data Processing Techniques in Smart Urban Rail. Workshop on Database Systems for Advanced Applications. (CCF B)

12.  12. Xiaonan Li, Kai Lv, Hang Yan, Tianyang Lin, Wei Zhu, Yuan Ni, Guotong Xie, Xiaoling Wang, Xipeng Qiu: Unified Demonstration Retriever for In-Context Learning. ACL (1) 2023: 4644-4668. (CCF A)

13.  13. Zhenyu Zhang, Wenwen Qu, Weixi Zhang, Junlin Shang, Xiaoling Wang. A Mixed-State Streaming Edge Partitioning based on Combinatorial Design. IEEE International Conference on Data Mining. ICDM 2023. (CCF B)

14.  14. Wenwen Qu, Weixi Zhang, Ji Cheng, Chaorui Zhang, Wei Han, Bo Bai, Chen Jason Zhang, Liang He, Xiaoling Wang. Optimizing Graph Partition by Optimal Vertex-Cut: A Holistic Approach. ICDE2023 (CCF A)

15.  15. Tao Ji, Yuanbin Wu, Xiaoling Wang. Typology Guided Multilingual Position Representations: Case on Dependency Parsing. Findings of the Association for Computational Linguistics. ACL 2023. (CCF A)

16.  16. Zhicheng Wang, Yufang Liu, Tao Ji, Xiaoling Wang, Yuanbin Wu, Congcong Jiang, YeChao, Zhencong Han, Ling Wang, Xu Shao and Wenqiu Zeng. Rehearsal-free Continual Language Learning via Efficient Parameter Isolation. ACL 2023.(CCF A 会议)

17.  17. Wei Zhu, Peng Wang, Yuan Ni, Guotong Xie, and Xiaoling Wang. 2023. BADGE: Speeding Up BERT Inference after Deployment via Block-wise Bypasses and Divergence-based Early Exiting. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 500-509, Toronto, Canada. Association for Computational Linguistics. (CCF A)  

18.  18. Zhang, Y., Gao, X., Zhu, W., Wang, X. (2023). FastNER: Speeding up Inferences for Named Entity Recognition Tasks. In: Yang, X., et al. Advanced Data Mining and Applications. ADMA 2023. Lecture Notes in Computer Science(), vol 14176. Springer, Cham. (CCF C)  

19.  19. Zhang, Y., Gao, X., Zhu, W., Wang, X. (2023). FastNER: Speeding up Inferences for Named Entity Recognition Tasks. In: Yang, X., et al. Advanced Data Mining and Applications. ADMA 2023. Lecture Notes in Computer Science(), vol 14176. Springer, Cham. (CCF C)  

20.  20. Zhu, Wei, Peifeng Wang, Xiaoling Wang, Yuan Ni and Guo Tong Xie. "ACF: Aligned Contrastive Finetuning For Language and Vision Tasks." ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023): 1-5. (CCF B)

21.  21. Bo Zhong, Pengfei Wang, Jinwei Pan, Xiaoling Wang. TS-MVP: Time-Series Representation Learning by Multi-view Prototypical Contrastive Learning. ADMA 2023. (CCF C)  

22.  22. Libin Cen, Jingdong Li, Wenjing Yue, Xiaoling Wang. NFAQP: Normalizing Flow based Approximate Query Processing. ADMA 2023.(CCF C)  

23.  23. Pengfei Wang, Bo Zhong, Xiaoling Wang. CrossEpilepsy: Cross-Modal Contrastive Learning for Epilepsy Pre-ictal Signal Classification. International Workshop on Data Mining in Bioinformatics. BIOKDD 2023.

24.  24. Jiahao Yuan, Wendi Ji, Dell Zhang, Jinwei Pan, Xiaoling Wang. Micro-Behavior Encoding for Session-based Recommendataion. ICDE 2022  (CCF A)

25.  25. Da YAN, Wenwen Qu, Guimu Guo, Xiaoling Wang, Yang Zhou. PrefixFPM: A Parallel Framework for General-Purpose Mining of Frequent and Closed Patterns. VLDB J. 31(2): 253-286 (2022) (CCF A)

26.  26. Jiahao Yuan, Zhao Li, Pengcheng Zou, Xuan Gao, Jinwei Pan, Wendi Ji*, and Xiaoling Wang. Community Trend Prediction on Heterogeneous Graph in E-commerce. In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (WSDM)2, pp. 1319-1327. 2022.

27.  27. Senhui Zhang, Tao Ji, Wendi Ji*, Xiaoling Wang. "Zero-Shot Event Detection Based on Ordered Contrastive Learning and Prompt-Based Prediction". The 2022 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Findings. 2022. (CCF B)

28.  28. Huanran Zheng, Wei Zhu, Pengfei Wang, Xiaoling Wang. Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation. In EMNLP2022. （CCF B）

29.  29. Jia Guo, Wendi Ji, Xiaoling Wang. Multi-Channel Orthogonal Decomposition Attention Network for Sequential Recommendation. PAKDD 2022

30.  30. Xinlei Zhang, Wendi Ji, Xiaoling Wang.Order-Aware Graph Neural Network for Sequential Recommendation. PAKDD 2022

31.  31. MoYi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha: Obtaining Dyadic Fairness by Optimal Transport. OT-SDM@AAAI 2022

32.  32. RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CIKM 2021

33.  33. Wei Zhu, Yilong He, Ling Chai, Yunxiao Fan, Yuan Ni, Guotong Xie, Xiaoling Wang: paht_nlp @ MEDIQA 2021: Multi-grained Query Focused Multi-Answer Summarization. BioNLP@NAACL-HLT 2021: 96-102

34.  34. Jingdong Li, Zhao Li, Jiaming Huang, Ji Zhang, Xiaoling Wang, Xingjian Lu, Jingren Zhou: Large-scale Fake Click Detection for E-commerce Recommendation Systems. ICDE 2021: 2595-2606

35.  35. Wei Zhu, Yuan Ni, Xiaoling Wang, Guotong Xie: Discovering Better Model Architectures for Medical Query Understanding. NAACL-HLT (Industry Papers) 2021: 230-237

36.  36. Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang: Temporal Augmented Graph Neural Networks for Session-Based Recommendations. SIGIR 2021: 1798-1802

37.  37. Yuanyuan Jin, Wendi Ji, Wei Zhang, Xiannan He, Xiaoling Wang. A KG-enhanced Multi-Graph Neural Network for Attentive Herb Recommendation. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2022 (accepted)

38.  38. Tao Ji, Yuanbin Wu, Xiaoling Wang. A Unified Encoding of Structures in Transition Systems. EMNLP2021 (CCF B)

39.  39. Tao Ji, Yuanbin Wu, Xiaoling Wang. Word Reordering for Zero-shot Cross-lingual Structured Prediction. EMNLP2021 (CCF B)

40.  40. Wei Zhu, Xiaoling Wang, Yuan Ni. GAML-BERT: Improving BERT Early Exiting by Gradient Aligned Mutual Learning. EMNLP2021  (CCF B)

41.  41. Bofeng Chen, Jindong Li, Xingjian Lu, Chaofeng Sha, Xiaoling Wang and Ji Zhang. Incorporating Network Structure with Node Information for Semi-supervised Anomaly Detection on Attributed Graphs. WISE 2021  (CCF C)

42.  42. Senhui Zhang, Wendi Ji, Jiahao Yuan and Xiaoling Wang. HRFA: Don’t Ignore Strangers with Different Views. WISE 2021 (CCF C)

43.  43. Zihan Song, Jiahao Yuan, Wendi Ji and Xiaoling Wang. Capturing Multi-granularity Interests with Capsule Attentive Network for Sequential Recommendation. WISE 2021 (CCF C)

44.  44. Jindong Li, Xiaoling Wang, Xingjian Lu, Ji Zhang. Large-scale fake click detection for e-commerce recommendation system. ICDE2021（CCF A）

45.  45. Jiahao Yuan, Zihan Song, Mingyou Sun, Xiaoling Wang, Wayne Xin Zhao. Dual Sparse Attention Network For Session-based Recommendation[C]. AAAI 2021 (CCF A )

46. 46. Yuanyuan Jin, Wei Zhang, Xiangnan He, Xinyu Wang and Xiaoling Wang, Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network, 2020 IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX, USA, 2020, pp. 145-156, doi: 10.1109/ICDE48307.2020.00020. (CCF A)

47. 47. Mingyou Sun, Jiahao Yuan, Zihan Song, Yuanyuan Jin, Xingjian Lu, Xiaoling Wang. POEM: Position Order Enhanced Model for Session-based Recommendation Service[C]. IEEE ICWS 2020 (CCF B )

48. 48. Chunbo Lin, Jingdong Li, Xiaoling Wang, Xingjian Lu, Ji Zhang. WFApprox: Approximate Window Functions Processing. DASFAA 2020, Korea  (CCF B )

49. 49. Wendi Ji, Keqiang Wang, Xiaoling Wang, Tingwei Chen, Alexandra Cristea. Sequential Recommender via Time-aware Attentive Memory Network. CIKM 2020: 565-574 (CCF B )

50. 50. Han Wu ,Xiaoling Wang, Xingjian Lu. AQapprox: Aggregation Queries Approximation with Distribution-Aware Online Sampling[C]//International Conference on Web Information Systems Engineering. Springer, Cham, 2020: 404-416. (CCF C )

51. 51. Wenyan Liu, Junhong Cheng, Xiangfeng Wang, Xiaoling Wang. SecureRec: Privacy-Preserving Recommendation with Distributed Matrix Factorization. ADMA 2020: 480-495 (CCF C )

52. 52. Xing Luo, Yuanyuan Jin, Tao Ji, Xiaoling Wang. Dual Role Neural Graph Auto-encoder for CQA Recommendation. APWeb/WAIM (1) 2020: 439-454 (CCF C )

53. 53. Wenwen Qu, Da Yan, Guimu Guo, Xiaoling Wang, Lei Zou, Yang Zhou. Parallel Mining of Frequent Subtree Patterns. SFDI/LSGDA@VLDB 2020: 18-32

54. 54. Da Yan, Wenwen Qu, Xiaoling Wang. PrefixFPM: A Parallel Framework for General-Purpose Frequent Pattern Mining. ICDE 2020

近几年研发的原型系统:

1、面向经典古方的中医传承平台(http://hdf.shenghaismart.com/)

2、医药信息专业翻译服务MITS（Medical Information Translation System）

3、面向推特的事件感知与态势分析系统：http://47.120.15.178:9901

4、学术论文审稿人推荐系统：/index.html

近几年开源的代码：

1、面向位置服务的POI推荐算法库：https://github.com/yuanyuansiyuan/LibrecForPOI

2、基于分布的频繁项集数据挖掘框架：https://github.com/wenwenQu/PrefixFPM

3、参与建设：序列推荐开源框架伯乐https://recbole.io/

Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen. CIKM2021

伯乐，一个统一、全面、高效的推荐系统代码库。该框架包含53种最新的深度学习模型，涵盖了4种任务下最常用的27个数据集合，支持多种主流评测方式一键设置，拥有从数据处理、模型开发、算法训练到科学评测的一站式全流程托管，可以满足大部分推荐相关的科研需求。

学术奖励：

1. 1. 2024年5月《大模型赋能数据库技术--从理论到实践》教材（王晓玲编著）获校2024年度精品教材立项

2. 2. 2023年《多源知识的融合与应用》获国家出版基金

3. 3. 2023年, 《基于统计特征搜索的多元时间序列预测方法》, 第十一届中国信息融合大会最佳论文奖，1/186

4. 4. 2023年，医疗大模型获CHIP医疗信息大会的比赛二等奖

5. 5. 2023年，必赢BWIN最具活力项目奖（“医”心医意—智能中医传承创新辅助平台）

6. 6. 2022年，上海市女老员工创新创业银奖，“医”心医意—智能中医传承创新辅助平台

7. 7. 2022《鲲鹏技术丛书》（《华为云计算技术与应用》主编王晓玲）入选国家新闻出版署十四五规划图书

8. 8. 2021年12月，论文《基于对比学习与数据增强的零样本事件抽取》获得CCKS2021(中国知识图谱会议) 最佳中文论文

9. 9. 2021年3月，MEDIQA2021自动文档摘要比赛（NAACL会议）multi answer summarization中获得第一名

10. 10. 2021年，WMT2020（国际最权威的机器翻译比赛）的生物医学翻译任务英译中第二名

11. 11. 2020年，WMT2020（国际最权威的机器翻译比赛），团队成功斩获生物医学赛道中英双向翻译任务机器评测的冠军。BLEU评分0.3912（中译英），0.5557（英译中）居首位。

12. 12. 2019年9月，论文《Hybrid Indexes by Exploring Traditional B-tree and Linear Regression》获第16届中国信息系统及应用大会优秀论文奖

13. 13. 2017年10月，论文《基于矩阵分解的上下文感知POI推荐》获第34届全国数据库学术会议优秀员工论文奖，The 34th National Database Conference (NDBC-17)

14. 14. 2015年10月，论文《面向MAX/MIN优化的SQL Window函数处理》获第32届全国数据库学术会议萨师煊优秀员工论文奖

15. 15. 2014年12月，《Frontiers of Computer Science》期刊突出贡献奖

16. 16. 2014年9月，系统《基于评分分析的酒店推荐系统》获第31届中国数据库学术会议（NDBC2014）优秀系统演示奖

17. 17. 2014年，论文《Exploring Influential Papers from Interdisciplinarity based on citation diversity》获第16届亚太Web会议（APWEB2014）Best Student Paper

18. 18. 2013年8月，论文《面向用户观点分析的多分类器集成和优化技术》获第30届中国数据库学术会议NDBC2013“萨师煊优秀员工论文”奖

19. 19. 2013年8月，系统《iCare医疗护理助手》获第4届中国老员工服务外包创新创业大赛二等奖

20. 20. 2012年，论文《Estimate Unlabeled-Data-Distribution for Semi-supervised PU Learning》获第14th APWeb会议的优秀论文奖(Best Paper Award)

21. 21. 2006年，论文《LEO：基于序列化的XML文档高效查询处理方法》获第二十三届全国数据库学术会议优秀论文奖

22. 22. 2007年，论文《XDrill：基于文件差异的XML文档压缩算法》获第二十四届全国数据库学术会议优秀论文奖

23. 23. 2005年，WEB SERVICES组合系统在ICEBE2005竞赛中，取得了国际第一名