Dr. Meng Wang is an information technology expert in Xi'an, China. He obtained the M.S. degree in Software Engineering from Xi'an Jiaotong University in 2012, and the Ph.D. degree in Computer Science from Xidian University in 2018, under the supervision of Prof. Jiangtao Cui and Prof. Hui Li. He currently serves as the Deputy Dean of the School of Computer Science at Xi'an Polytechnic University. Dr. Wang is a member of National & Local Joint Engineering Center of New Network Intelligent Information Service, and Shaanxi Key Laboratory of Clothing Intelligence. His core research interests include artificial intelligence, time series analysis, spatio-temporal big data, data mining, and data management. He has published papers in major venues, including ICDE, TKDE, CIKM, EDBT, TIST, Bioinformatics and Information Sciences. He has been awarded the second prize for Natural Science Award of Shaanxi Province, the Rising Star Award of ACM Xi'an Chapter, the first prize for "Light of Textile" Higher Education and Teaching Achievement Award of China Textile Industry Federation, the Excellent Award of Shaanxi Undergraduate Colleges' Classroom Teaching Innovation Competition and the Teaching Excellence Award of Xi'an Polytechnic University. His work on movement-aware location selection received Best Paper Award Runner-Up in MDM 2019 and "Sa Shixuan" Best Paper Award in NDBC 2023.

Contact

wangmengxpu.edu.cn

wamengitsina.com

• Mar. 2025 - Our paper "A New Deep Learning based Electricity Theft Detection Framework for Smart Grids in Cloud Computing" has been accepted as a full paper by Computer Standards & Interfaces (SCI Q1)!
• Feb. 2025 - Our paper "MC²LS: Towards Efficient Collective Location Selection in Competition" has been accepted as an extented abstract paper by 41st IEEE International Conference on Data Engineering (ICDE, CCF A)!
• Jan. 2025 - Our paper "Multi-View Multi-Level Contrastive Graph Convolutional Network for Cancer Subtyping on Multi-Omics Data" has been accepted as a full paper by Briefings in Bioinformatics (SCI Q1, CCF B)!
• Jan. 2025 - Be awarded the Excellent Individual Award of School of Computer Science, Xi'an Polytechnic University!
• Dec. 2024 - Appointed as the Deputy Dean of the School of Computer Science!
• Nov. 2024 - Our paper "Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching" has been accepted as a full paper by 41st IEEE International Conference on Data Engineering (ICDE, CCF A)!
• Nov. 2024 - Our paper "MC²LS: Towards Efficient Collective Location Selection in Competition" has been accepted as a full paper by IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF A)!
• Jun. 2024 - A project is funded by Scientific and Technological Program of Xi'an (as the leader)!
• Mar. 2024 - Appointed as the Assistant to the Dean of the School of Computer Science!
• Jan. 2024 - Selected as an Informatization Expert of Xi'an City!
• Dec. 2023 - Principles and Applications of Big Data Technology is rated as the top course of Xi'an Polytechnic University!
• Nov. 2023 - A key project is funded by Scientific Research Program Funded by Education Department of Shaanxi Provincial Government (as the leader)!
• Oct. 2023 - Our paper "RUG: A Revenue-driven User-based Relocation Approach in One-way Car-sharing Incorporating Public Transporation" has been accepted as a full paper by Journal of Geo-information Science.
• Oct. 2023 - Our work "CoSTUR: Competitive Spatio-textual Location Selection Based on User Rating" has awarded "Sa Shixuan" Best Paper Award in NDBC 2023!
• Sep. 2023 - Be awarded the first prize for "Light of Textile" Higher Education and Teaching Achievement Award of China Textile Industry Federation!
• Aug. 2023 - Our paper "CoSTUR: Competitive Spatio-textual Location Selection Based on User Rating" has been accepted by NDBC 2023.
• May 2023 - Our paper "MRGCN: cancer subtyping with multi-reconstruction graph convolutional network using full and partial multi-omics dataset" has been accepted as a full paper by Bioinformatics.

• "Sa Shixuan" Best Paper Award
  Oct. 2023, 40th CCF National Database Conference (NDBC 2023)
• "Light of Textile" Higher Education and Teaching Achievement Award
  Sep. 2023, The First Prize, China Textile Industry Federation
• Excellent Award of Shaanxi Undergraduate Colleges' Classroom Teaching Innovation Competition
  Apr. 2022, Shaanxi Provincial Education Department (The 4th session)
• Teaching Excellence Award
  Sep. 2021, Xi'an Polytechnic University (2020/2021)
• Rising Star Award
  Oct. 2020, Xi'an Chapter, ACM China, 2020
• Natural Science Award of Shaanxi Province
  Apr. 2020, The Second Prize, The People's Government of Shaanxi Province
• Best Paper Award Runner-Up
  Jun. 2019, IEEE International Conference on Mobile Data Management (MDM 2019)

• Conference Reviewer: APWeb-WAIM (CCF C).
• Journal Reviewer: Frontiers of Computer Science (FCS, CCF B), Distributed and Parallel Databases (DPD, CCF C).
• Technical Committee: ICBDC'2022, 2022 7th International Conference on Big Data and Computing.
• Technical Committee: ITAS'2022, 2022 Information Technology & Applications Symposium.
• Technical Committee: CCBD'2021, The 8th International Conference on Cloud Computing and Big Data.

• Research on Power Load Forecasting in Industrial Parks by Integrating Time-Frequency and External Features
  Research Grants: Scientific and Technological Program of Xi'an
  Jul. 2024 → Jun. 2026, in Charge
• Intelligent Scheduling for Optimizing Electricity Costs in Textile companies
  Research Grants: Scientific Research Program Funded by Education Department of Shaanxi Provincial Government
  Jan. 2023 → Dec. 2024, in Charge
• Day-ahead Tariff Prediction for Electricity Spot Market Based on Multivariate Feature Learning
  Research Grants: Natural Science Basic Research Program of Shaanxi
  Jan. 2023 → Dec. 2024, in Charge
• Spatio-temporal Feature Based Facility Location in Sharing Economy
  Research Grants: Natural Science Basic Research Program of Shaanxi
  Jan. 2020 → Dec. 2021, in Charge
• Location Recommendation Technology for Spatial Moving Objects
  Research Grants: National Natural Science Foundation of China
  Jan. 2020 → Dec. 2023, in Charge of Sub-project
• Intelligent Co-construct and Sharing Platform for Public Cultural Resources
  Research Grants: National Key R&D Program of China
  Jan. 2020 → Dec. 2022, Participant

• 19072021 (Graduate Course)
  Big Data Technology Architecture (Former name: Principles and Applications of Big Data Technology)
  Since Spring Semester 2020
• 098205
  Data Structure
  Since Fall Semester 2022
• 097302
  Principles and Applications of Big Data Technology
  Since Spring Semester 2021

• Zhen Si, Zhaoqing Liu, Changchun Mu, Meng Wang, Tongxin Gong, Xiaofang Xia, Qing Hu, Yang Xiao, A New Deep Learning based Electricity Theft Detection Framework for Smart Grids in Cloud Computing, Computer Standards & Interfaces, 94(104007), 2025.
• Meng Wang, Mengfei Zhao, Hui Li, Jiangtao Cui, Bo Yang, Tao Xue, MC²LS: Towards Efficient Collective Location Selection in Competition, [Poster], IEEE International Conference on Data Engineering (ICDE 2025, CCF A), 4724-4725, 2025.
• Meng Wang, Jintao Yang, Bin Yang, Hui Li, Tongxin Gong, Bo Yang, Jiangtao Cui, Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching, [Slides, Poster], IEEE International Conference on Data Engineering (ICDE 2025, CCF A), 1278-1291, 2025.
• Bo Yang, Chenxi Cui, Meng Wang, Hong Ji, Feiyue Gao, Multi-View Multi-Level Contrastive Graph Convolutional Network for Cancer Subtyping on Multi-Omics Data, Briefings in Bioinformatics (CCF B), 26(1), 2025.
• Meng Wang, Mengfei Zhao, Hui Li, Jiangtao Cui, Bo Yang, Tao Xue, MC²LS: Towards Efficient Collective Location Selection in Competition, IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF A), 37(2):766-780, 2025.
• Yuzhe Ma, Meng Wang, Hui Li, Jiangtao Cui, Junhua Liu, Ruimeng Li, RUG: A Revenue-driven User-based Relocation Approach in One-way Car-sharing Incorporating Public Transporation, Journal of Geo-information Science, 25(12):2315-2328, 2023.
• Chenwei Li, Meng Wang, Hui Li, Jiangtao Cui, Xihan Wang, CoSTUR: Competitive Spatio-textual Location Selection Based on User Rating [Abstract, Slides], in 40th CCF National Database Conference (NDBC), 2023. "Sa Shixuan" Best Paper Award!
• Bo Yang, Yan Yang, Meng Wang, Xueping Su, MRGCN: Cancer Subtyping with Multi-reconstruction Graph Convolutional Network Using Full and Partial Multi-omics Dataset, Bioinformatics (CCF B), 36(6):btad353, 2023.
• Yuzhe Ma, Meng Wang, Hui Li, Jiangtao Cui, Junhua Liu, Ruimeng Li, RUG: A Revenue-driven User-based Relocation Approach in One-way Car-sharing Incorporating Public Transporation [Poster, Video], in 4th China Spatial Data Intelligence Conference (SpatialDI), 2023.
• Hu Wang, Hui Li, Meng Wang, Jiangtao Cui, Toward Balancing the Efficiency and Effectiveness in k-Facility Relocation Problem, ACM Transactions on Intelligent Systems and Technology (TIST), 14(3):52:1-24, 2023.
• Bo Yang, TingTing Xin, Shanmin Pang, Meng Wang, Yijie Wang, Deep Subspace Mutual Learning for Cancer Subtypes Prediction, Bioinformatics (CCF B), 37(21):3715-3722, 2021.
• Hu Wang, Hui Li, Meng Wang, Jiangtao Cui, Addressing the Hardness of k-Facility Relocation Problem: a Pair of Approximate Solutions, in 30th ACM International Conference on Information and Knowledge Management (CIKM, CCF B), 1919-1928, 2021.
• Ping Liu, Meng Wang, Jiangtao Cui, Hui Li, Top-k Competitive Location Selection over Moving Objects, Data Science and Engineering, 6(4):392-401, 2021.
• Dan Li, Hui Li, Ying Zhou, Meng Wang, Jiangtao Cui, Influential Facilities Placement over Moving Objects, Distributed and Parallel Databases, 1-30, 2020.
• Ping Liu, Meng Wang, Jiangtao Cui, Hui Li, Top-k Competitive Location Selection over Moving Objects [Abstract, Slides], in 37th CCF National Database Conference (NDBC), 2020.
• Di Yang, Hui Li, Meng Wang, Dan Li, Jiangtao Cui, MALOS: A Movement-Aware Location Selection System, in 23rd International Conference on Extending Database Technology (EDBT, CCF B), 595-598, 2020.
• Meng Wang, Hui Li, Jiangtao Cui, Sourav S. Bhowmick, Ping Liu, FROST: Movement History-conscious Facility Relocation, ACM Transactions on Intelligent Systems and Technology (TIST), 11(1):9:1-9:26, 2020.
• Dan Li, Hui Li, Meng Wang, Jiangtao Cui, k-Collective Influential Facility Placement over Moving Object, in 20th IEEE International Conference on Mobile Data Management (MDM), 191-200, 2019. Best Paper Award Runner-Up!
• Jiangtao Cui, Meng Wang, Hui Li, Yang Cai, Place Your Next Branch with MILE-RUN: Min-dist Location Selection over User Movement, Information Sciences (CCF B), 463:1-20, 2018.
• Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S. Bhowmick, Zhenhua Dong, PINOCCHIO: Probabilistic Influence-based Location Selection over Moving Objects [Poster], in 33rd IEEE International Conference on Data Engineering (ICDE, CCF A), 21-22, 2017.
• Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S. Bhowmick, Zhenhua Dong, PINOCCHIO: Probabilistic Influence-based Location Selection over Moving Objects, IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF A), 28(11):3068-3082, 2016.

王蒙，博士，副教授，硕士生导师，西安工程大学计算机科学学院副院长，西安市信息化专家，国际计算机协会(ACM)中国理事会“新星奖”、陕西省自然科学奖、中国纺织工业联合会教学成果奖获得者。西安工程大学计算机科学学院优秀教师，新型网络智能信息服务国家地方联合工程中心和陕西省服装设计智能化重点实验室成员，中国计算机协会(CCF)会员。先后于西安电子科技大学和西安交通大学获得学士学位和硕士学位，2018年于西安电子科技大学获得计算机系统结构专业工学博士学位，师从崔江涛教授和李辉教授。研究方向为人工智能，序列数据分析，时空大数据，数据管理和数据挖掘。在ICDE，TKDE，CIKM，EDBT，TIST，Bioinformatics和Information Sciences等国际顶级会议和著名期刊发表多篇学术论文，成果荣获陕西省科学技术奖自然科学奖二等奖，“纺织之光”中国纺织工业联合会高等教育教学成果一等奖，陕西本科高校课堂教学创新大赛优秀奖，IEEE国际会议MDM最佳论文奖，中国NDBC大会“萨师煊”优秀论文奖。

联系方式

wangmengxpu.edu.cn

wamengitsina.com

• 2025年3月 - 论文“A New Deep Learning based Electricity Theft Detection Framework for Smart Grids in Cloud Computing”被计算机领域国际顶级期刊Computer Standards & Interfaces (SCI Q1)全文接收。
• 2025年2月 - 论文“MC²LS: Towards Efficient Collective Location Selection in Competition”被数据科学领域国际顶级会议41st IEEE International Conference on Data Engineering (ICDE, CCF A)扩展接收。
• 2025年1月 - 论文“Multi-View Multi-Level Contrastive Graph Convolutional Network for Cancer Subtyping on Multi-Omics Data”被计算机学科交叉领域国际顶级期刊Briefings in Bioinformatics (SCI Q1, CCF B)全文接收。
• 2025年1月 - 荣获西安工程大学计算机科学学院年度优秀奖！
• 2024年12月 - 任命为西安工程大学计算机科学学院副院长。
• 2024年11月 - 论文“Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching”被数据科学领域国际顶级会议41st IEEE International Conference on Data Engineering (ICDE, CCF A)全文接收。
• 2024年11月 - 论文“MC²LS: Towards Efficient Collective Location Selection in Competition”被数据科学领域国际顶级期刊IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF A)全文接收。
• 2024年6月 - 获批西安市科技计划项目（主持）！
• 2024年3月 - 任命为西安工程大学计算机科学学院院长助理。
• 2024年1月 - 遴选为西安市信息化专家。
• 2023年12月 - 本科课程《大数据技术原理与应用》评为西安工程大学一流课程！
• 2023年11月 - 获批陕西省教育厅科学研究计划重点项目（主持）！
• 2023年10月 - 论文“RUG：收益驱动的单向共享汽车用户重定位模型”被信息地理学领域T2级别期刊地球信息科学学报全文接收。
• 2023年10月 - 论文“CoSTUR：面向用户评级的空间文本竞争选址研究”获评中国数据库领域最高学术会议NDBC 2023“萨师煊”优秀论文奖!
• 2023年9月 - 荣获“纺织之光”中国纺织工业联合会高等教育教学成果一等奖！
• 2023年8月 - 论文“CoSTUR：面向用户评级的空间文本竞争选址研究”被中国数据库领域最高学术会议NDBC 2023接收。
• 2023年5月 - 论文MRGCN: cancer subtyping with multi-reconstruction graph convolutional network using full and partial multi-omics dataset被国际顶级期刊Bioinformatics全文接收。

• “萨师煊”优秀论文奖
  2023年10月，第40届CCF中国数据库学术会议(NDBC 2023)
• “纺织之光”高等教育教学成果奖一等奖
  2023年9月，中国纺织工业联合会
• 陕西本科高校课堂教学创新大赛优秀奖
  2022年4月，陕西省教育厅（第四届）
• 优秀教师
  2021年9月，西安工程大学
• 新星奖
  2020年10月，国际计算机协会(ACM)中国理事会，西安分会
• 陕西省科学技术奖自然科学奖二等奖
  2020年4月，陕西省人民政府
• 最佳论文奖
  2019年6月，IEEE International Conference on Mobile Data Management 2019 (MDM 2019)

• 学术会议审稿人：APWeb-WAIM (CCF C)。
• 学术期刊审稿人：Frontiers of Computer Science (FCS, CCF B)，Distributed and Parallel Databases (DPD, CCF C)。
• 技术委员会： ICBDC'2022，2022年第七届大数据与计算国际会议。
• 技术委员会： ITAS'2022，2022年信息技术与应用会议。
• 技术委员会： CCBD'2021，2021年第八届云计算和大数据国际会议。

• 融合时频及外部特征的产业园区电力负荷预测研究
  西安市科技计划项目
  2024年7月 → 2026年6月，主持
• 优化纺织服装企业用电成本的智能排产研究
  陕西省教育厅重点项目
  2023年1月 → 2024年12月，主持
• 基于多元特征学习的电力现货市场日前电价预测研究
  陕西省自然科学基础研究项目
  2023年1月 → 2024年12月，主持
• 共享出行环境中基于时空特征学习的设施部署策略研究
  陕西省自然科学基础研究项目
  2020年1月 → 2021年12月，主持
• 面向空间运动对象的位置推荐技术研究
  国家自然科学基金面上项目
  2020年1月 → 2023年12月，子课题负责人
• 公共文化资源智能共建共享与管理平台关键技术研究
  国家重点研发计划项目
  2020年1月 → 2022年12月，项目骨干

• 19072021 (研究生课程)
  大数据技术架构（原名：大数据技术原理及应用）
  2020年春季学期至今
• 098205
  数据结构
  2022年秋季学期至今
• 097302
  大数据技术原理与应用
  2021年春季学期至今

• Zhen Si, Zhaoqing Liu, Changchun Mu, Meng Wang, Tongxin Gong, Xiaofang Xia, Qing Hu, Yang Xiao, A New Deep Learning based Electricity Theft Detection Framework for Smart Grids in Cloud Computing, Computer Standards & Interfaces, 94(104007), 2025.
• Meng Wang, Mengfei Zhao, Hui Li, Jiangtao Cui, Bo Yang, Tao Xue, MC²LS: Towards Efficient Collective Location Selection in Competition, [Poster], IEEE International Conference on Data Engineering (ICDE 2025, CCF A), 4724-4725, 2025.
• Meng Wang, Jintao Yang, Bin Yang, Hui Li, Tongxin Gong, Bo Yang, Jiangtao Cui, Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching, [Slides, Poster], IEEE International Conference on Data Engineering (ICDE 2025, CCF A), 1278-1291, 2025.
• Bo Yang, Chenxi Cui, Meng Wang, Hong Ji, Feiyue Gao, Multi-View Multi-Level Contrastive Graph Convolutional Network for Cancer Subtyping on Multi-Omics Data, Briefings in Bioinformatics (CCF B), 26(1), 2025.
• Meng Wang, Mengfei Zhao, Hui Li, Jiangtao Cui, Bo Yang, Tao Xue, MC²LS: Towards Efficient Collective Location Selection in Competition, IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF A), 37(2):766-780, 2025.
• 马毓哲, 王蒙, 李辉, 崔江涛, 刘俊华, 李瑞蒙, RUG：收益驱动的单向共享汽车用户重定位模型, 地球信息科学学报, 25(12):2315-2328, 2023.
• 李晨伟, 王蒙, 李辉, 崔江涛, 王西汉, CoSTUR：面向用户评级的空间文本竞争选址研究 [Abstract, Slides], 第40届CCF中国数据库学术会议 (NDBC), 2023. "萨师煊"优秀论文奖!
• Bo Yang, Yan Yang, Meng Wang, Xueping Su, MRGCN: Cancer Subtyping with Multi-reconstruction Graph Convolutional Network Using Full and Partial Multi-omics Dataset, Bioinformatics (CCF B), 36(6):btad353, 2023.
• 马毓哲, 王蒙, 李辉, 崔江涛, 刘俊华, 李瑞蒙, RUG：收益驱动的单向共享汽车用户重定位模型 [Poster, Video], 第四届中国空间数据智能学术会议 (SpatialDI), 2023.
• Hu Wang, Hui Li, Meng Wang, Jiangtao Cui, Toward Balancing the Efficiency and Effectiveness in k-Facility Relocation Problem, ACM Transactions on Intelligent Systems and Technology (TIST), 14(3):52:1-24, 2023.
• Bo Yang, TingTing Xin, Shanmin Pang, Meng Wang, Yijie Wang, Deep Subspace Mutual Learning for Cancer Subtypes Prediction, Bioinformatics (CCF B), 37(21):3715-3722, 2021.
• Hu Wang, Hui Li, Meng Wang, Jiangtao Cui, Addressing the Hardness of k-Facility Relocation Problem: a Pair of Approximate Solutions, in 30th ACM International Conference on Information and Knowledge Management (CIKM, CCF B), 1919-1928, 2021.
• Ping Liu, Meng Wang, Jiangtao Cui, Hui Li, Top-k Competitive Location Selection over Moving Objects, Data Science and Engineering, 6(4):392-401, 2021.
• Dan Li, Hui Li, Ying Zhou, Meng Wang, Jiangtao Cui, Influential Facilities Placement over Moving Objects, Distributed and Parallel Databases, 1-30, 2020.
• Ping Liu, Meng Wang, Jiangtao Cui, Hui Li, Top-k Competitive Location Selection over Moving Objects [Abstract, Slides], in 37th CCF National Database Conference (NDBC), 2020.
• Di Yang, Hui Li, Meng Wang, Dan Li, Jiangtao Cui, MALOS: A Movement-Aware Location Selection System, in 23rd International Conference on Extending Database Technology (EDBT, CCF B), 595-598, 2020.
• Meng Wang, Hui Li, Jiangtao Cui, Sourav S. Bhowmick, Ping Liu, FROST: Movement History-conscious Facility Relocation, ACM Transactions on Intelligent Systems and Technology (TIST), 11(1):9:1-9:26, 2020.
• Dan Li, Hui Li, Meng Wang, Jiangtao Cui, k-Collective Influential Facility Placement over Moving Object, in 20th IEEE International Conference on Mobile Data Management (MDM), 191-200, 2019. Best Paper Award Runner-Up!
• Jiangtao Cui, Meng Wang, Hui Li, Yang Cai, Place Your Next Branch with MILE-RUN: Min-dist Location Selection over User Movement, Information Sciences (CCF B), 463:1-20, 2018.
• Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S. Bhowmick, Zhenhua Dong, PINOCCHIO: Probabilistic Influence-based Location Selection over Moving Objects [Poster], in 33rd IEEE International Conference on Data Engineering (ICDE, CCF A), 21-22, 2017.
• Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S. Bhowmick, Zhenhua Dong, PINOCCHIO: Probabilistic Influence-based Location Selection over Moving Objects, IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF A), 28(11):3068-3082, 2016.