王欣，男，1981年8月生，博士(后)，研究员，博士生导师

邮件地址：xinwang at swpu dot edu dot cn，xinwang dot ed at gmail dot com

2013年7月获英国爱丁堡大学计算机博士学位，校企联合培养博士后、美国卡内基梅隆大学访问学者。四川省“天府学者”特聘专家，四川省科技创新人才基金获得者，四川省学术和技术带头人后备人选，成都市创新服务人才，绵阳市“产业尖端创新团队”成员。

近年来，先后主持了国家自然科学基金，四川省科技计划项目，留学回国人员基金，油气藏地质及开发工程国家重点实验室、软件开发环境国家重点实验室开放课题等多项纵向科研项目，以及企业委托的多项横向项目；主研国家重点研发计划、国家自然科学基金重点项目、四川省重大科技专项等项目。在知识发现、数据挖掘、人工智能方向的顶级国际会议、期刊发表论文六十余篇，撰写专著两部，获ICDE最佳论文亚军，WISE最佳论文亚军，DEXA优秀论文奖；研究成果申请国内外发明专利五十余项。获中国石油和化工自动化行业科技进步一等奖、技术发明一等奖等。

目前，他是四川省计算机学会自然语言分委会副主任委员、国家自然科学基金通讯评审专家、教育部学位中心通讯评议专家、四川省科技专家库、四川省网信人才库专家、ACM/IEEE/CAAI会员、CAAI青工委委员、《特种油气藏》青年编委；同时，他也担任多个国内外知名期刊以及国际会议的审稿人、程序委员会委员。

欢迎校内外同学报考本人博士（直博生）、硕士研究生，优秀申请者将给予经费资助！有意向者请邮件联系。

知识工程、数据挖掘、石油工程数据分析与挖掘、数据库理论与系统

主要论文(*标记为通讯作者)

[1] Xin Wang, Junhao Shi, Jiejun Zou, Lingzhen Shen, Zhuo Lan, Yu Fang, Wenbo Xie, Supports estimation via graph sampling, Expert Systems with Applications (ESWA) (2023).
[2] Wei Jiang, Xin Wang*, Shu Zhang, Integrating multi-modal data into AFSA-LSTM model for real-time oil production prediction, Energy (2023).
[3] Xin Wang, Yongsheng Wang, Lansu Pang, Tao Jiang, Yufan Chen, Yang Wang, Qingyan Mei, Shenglan Qing, Wei Jiang, Capturing intrinsic features from field data for predicting the production of natural gas, Geoenergy Science and Engineering (2023).
[4] Xin Wang, Honglian He, Yongqing Diao, Huayi Zhan, Leveraging Dual Encoder Models for Complex Question Answering over Knowledge Bases, Pacific Rim International Conference on Artificial Intelligence (PRICAI) (2023).
[5] Wang Zhang, Xin Wang*, Yuhong Wu, Xingpeng Zhang, Huayi Zhan, Enhancing Representation Learning with Label Association for Multi-Label Text Classification, IEEE International Conference on Big Data (ICBD) (2023).
[6] Wenbo Xie, Bin Chen, Junhao Shi, Yanli Li, Xin Wang, Xun Fu, Cost-effective clustering by aggregating local density peaks, International Conference on Database Systems for Advanced Applications (DASFAA) (2023).
[7] Xingfa Zhou, Min Li, Lan Yang, Rui Sun, Xin Wang, Huayi Zhan, Emotion Prompting for Speech Emotion Recognition, Conference of the International Speech Communication Association (INTERSPEECH) (2023).
[8] Linlin Hou, Dandan Ren, Ting Yu, Lingling Li, Xin Wang, Ji Zhang, A Dataset for Entity Recognition of COVID-19 Public Opinion in Social Media, International Conference on Behavioural and Social Computing (BESC) (2023).
[9] 邹杰军，王欣*，石俊豪，兰卓，方宇，张翀，谢文波，沈玲珍, 面向大图的Top-Rank-K频繁模式挖掘算法, 南京大学学报 (2023).
[10] 王欣，蒋涛，周幂，高国海，蒋薇，梅青燕，赵翔，邻域信息增强的 MLSTM 在储层参数预测中的应用研究 ——以非均质性碳酸盐岩为例，地球物理学进展 (2023).
[11] 何宇昂，王欣*，沈玲珍，大图中多样化Top-k模式挖掘算法研究，计算机科学 (2023).
[12] 沙雨济，王欣*，何艳潇，钟学燕，方宇，频繁量化模式图挖掘及应用，计算机科学 (2023).
[13] 王欣，向明月，李思颖，赵若成，基于隐马尔可夫模型的铁路出行团体关系预测研究，计算机科学 (2022).
[14] 庞兰苏, 王杨, 蒋薇, 王永生, 高国海, 王欣* 基于机器学习的天然气井产气量预测研究 ——以短生产周期碳酸盐岩气井为例, 特种油气藏 (2022).
[15] Xin Wang, Zhuo Lan, Yu-Ang He, Yang Wang, ZhiGui Liu, and WenBo Xie， A cost-effective approach for mining near-optimal top-k patterns, Expert Systems with Applications (ESWA) (2022).
[16] Xin Wang, Chao Wang, Haiyang Yang, Xingpeng Zhang, Qi Shen, Kan Ji, Yuhong Wu and Huayi Zhan, KGAT: An Enhanced Graph-based Model for Text Classification, International Conference on Natural Language Processing and Chinese Computing (NLPCC) (2022).
[17] Xin Wang, Min Luo, Chengliang Si and Huayi Zhan, Answering Complex Questions on Knowledge Graphs, The 15th International Conference on Knowledge Science, Engineering and Management (KSEM) (2022).
[18] Xin Wang, Lan Yang, Honglian He, Yu Fang, Huayi Zhan and Ji Zhang, Enhanced Simple Question Answering with Contrastive Learning, The 15th International Conference on Knowledge Science, Engineering and Management (KSEM) (2022).
[19] Yanxiao He, XinWang*, Yuji Sha, Xueyan Zhong and Yu Fang, Mining Frequent Patterns with Counting Quantifiers, The Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference (2022).
[20] Yu Fang, Xuemei Cao, Xin Wang and Fan Min, Three-way sampling for rapid attribute reduction, Information Sciences (2022)
[21] Ji Zhang, Jean-Paul Ainam, Wenai Song, Li-hui Zhao and Xin Wang. Learning Global and Local Features Using Graph Neural Networks for Person Re-identification, Signal Processing: Image Communication (2022).
[22] Yu Fang, Xuemei Cao, Xin Wang and Fan Min, Hypersphere Neighborhood Rough Set for Rapid Attribute Reduction, The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) (2022).
[23] Huayi Zhan, Peixi Xiong, Xin Wang*, XIN WANG, and Lan Yang, Visual Question Answering by Pattern Matching and Reasoning, Neurocomputing (2022).
[24] 刘汉东, 钟学燕, 陈雁, 王欣, 一种改进GraphRNN的多标签文本分类方法，小型微型计算机系统 (2022).
[25] 李思颖, 徐杨, 王欣*, 赵若成，基于关联分析的铁路旅客同行预测方法研究及应用，计算机科学 (2021).
[26] Xin Wang, Mingyue Xiang, Huayi Zhan, Zhuo Lan, Yuang He, Yanxiao He and Yuji Sha, Distributed Top-k Pattern Mining, The 5th Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data (APWeb-WAIM) (2021).
[27] Xin Wang, Liang Tang, Yong Liu, Huayi Zhan, and Xuanzhi Feng, Diversified Pattern Mining on Large Graphs, International Conference on Database and Expert Systems Applications (DEXA) (2021).
[28] Xin Wang, Ji Zhang, Yan Zhu, etc, Bounded Graph Pattern Matching with Views, Journal of Data Intelligence (JDI) (2021) (invited, as extended version of DEXA 2020 paper).
[29] Xin Wang*, Yang Xu and Huayi Zhan, Extending Association Rules with Graph Patterns, Expert Systems with Applications (ESWA) (2020).
[30] Divya Sukumar, Ji Zhang, Xiaohui Tao, Xin Wang, and Wenbin Zhang, Predicting Workplace Injuries Using Machine Learning Algorithms, IEEE International Conference on Data Science and Advanced Analytics (DSAA) (2020).
[31] Qiqang Xu, Ji Zhang, Youwen Zhu, Bohan Li, Donghai Guan, and Xin Wang, A Multi-Level RNN Model for Resume Block Classification, IEEE International Conference on Big Data (ICBD) (2020).
[32] Xin Wang, Xiufeng Liu, Ping Cheng, etc, View Selection for Graph Pattern Matching, International Conference on Database and Expert Systems Applications (DEXA) (2020).
[33] Xin Wang, Ji Zhang, Yan Zhu, etc, Bounded Pattern Matching Using Views, International Conference on Database and Expert Systems Applications (DEXA) (2020).
[34] Xin Wang, Yang Xu, Ji Zhang, etc, Extending Graph Pattern Matching with Regular Expressions, International Conference on Database and Expert Systems Applications (DEXA) (2020).
[35] Sinha Baivab, Xin Wang*, Wei Jiang, Ju Ma, Huayi Zhan and Xueyan Zhong, An Interactive System for Knowledge Graph Search, International Conference on Database Systems for Advanced Applications (DASFAA) (2020).
[36] Xiufeng Liu, Zhibin Niu, Yanyan Yang, Junqi Wu, Dawei Cheng and Xin Wang, VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern Discovery, International Conference on Extending Database Technology (EDBT) (2020).
[37] Xiufeng Liu, Zhichen Lai, Xin Wang, Lizhen Huang and Per Sieverts Nielsen, A Contextual Anomaly Detection Framework for Energy Smart Meter Data Stream, Neural Information Processing - 27th International Conference (ICONIP) (2020).
[38] Peixi Xiong, Huayi Zhan, Xin Wang, Baivab Sinha, and Ying Wu, Visual Query Answering by Entity-Attribute Graph Matching and Reasoning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019).
[39] Xin Wang, Lan Yang, Yan Zhu, Huayi Zhan, and Yuan Jin, Querying Knowledge Graphs with Natural Languages, International Conference on Database and Expert Systems Applications (DEXA) (2019).
[40] Xin Wang, Yang Xu, Ruocheng Zhao, Junjie Lin, and Huayi Zhan, GparMiner: A System to mine Graph Pattern Association Rules, International Conference on Database Systems for Advanced Applications (DASFAA) (2019).
[41] Liangqiang Huang, Yan Zhu, Xin Wang, and Faisal Khurshid, An Attribute-Based Fine-Grained Access Control Mechanism for Hbase, International Conference on Database and Expert Systems Applications (DEXA) (2019).
[42] Ji Zhang, Leonard Tan, Xiaohui Tao, Dianwei Wang, Josh Jia,Ching Ying, and Xin Wang, Learning Relational Fractals for Deep Knowledge Graph Embedding in Online Social Networks, International Conference on Web Information Systems Engineering (WISE) (2019).
[43] Xin Wang, and Yang Xu, Mining Graph Pattern Association Rules, International Conference on Database and Expert Systems Applications (DEXA) (2018).
[44] Xin Wang, and Huayi Zhan, Approximating Diversified Top-k Graph Pattern Matching, International Conference on Database and Expert Systems Applications (DEXA) (2018).
[45] Xin Wang, Lan Yang, Huayi Zhan, etc, A Movie Search System with Natural Language Queries, International Conference on Database Systems for Advanced Applications (DASFAA) (2018).
[46] Xin Wang, Answering Graph Pattern Matching Using Views: A Revisit, International Conference on Database and Expert Systems Applications (DEXA) (2017).
[47] Xin Wang, Chengye Yu, Enyang Zhang, and Tong Du, MovieFinder : A Movie Search System via Graph Pattern Matching, International Conference on Extending Database Technology (EDBT) (2017).
[48] Wenfei Fan, Xin Wang* and Yinghui Wu, Answering pattern queries using views, IEEE Transactions on Knowledge and Data Engineering (TKDE) (2016).
[49] Wenfei Fan, Xin Wang, Yinghui Wu and Jingbo Xu, Association Rules with Graph Patterns, International Conference on Very Large Data Bases (VLDB) (2015).
[50] Wenfei Fan, Xin Wang and Yinghui Wu, Querying Big Graphs within Bounded Resources, ACM SIGMOD Conference on Management of Data (SIGMOD) (2014).
[51] Wenfei Fan, Xin Wang, Yinghui Wu and Deng Dong, Distributed Graph Simulation: Impossibility and Possibility, International Conference on Very Large Data Bases (VLDB) (2014).
[52] Wenfei Fan, Xin Wang and Yinghui Wu, Diversified top-k Graph Pattern Matching, International Conference on Very Large Data Bases (VLDB) (2014).
[53] Wenfei Fan, Xin Wang and Yinghui Wu, Answering Graph Pattern Queries Using Views, International Conference on Data Engineering (ICDE) (2014).
[54] Wenfei Fan, Xin Wang and Yinghui Wu, Incremental Graph Pattern Matching, ACM Transactions on Database Systems (TODS) (2013).
[55] Wenfei Fan, Xin Wang and Yinghui Wu, ExpFinder: Finding Experts by Graph Pattern Matching, International Conference on Data Engineering (ICDE) (2013).
[56] Wenfei Fan, Jianzhong Li, Xin Wang and Yinghui Wu, Query Preserving Graph Compression, ACM SIGMOD Conference on Management of Data (SIGMOD) (2012).
[57] Wenfei Fan, Xin Wang and Yinghui Wu, Performance Guarantees for Distributed Reachability Queries, International Conference on Very Large Data Bases (VLDB) (2012).
[58] Wenfei Fan, Jianzhong Li, Jizhou Luo, Zijing Tan, Xin Wang and Yinghui Wu, Incremental Graph Pattern Matching, ACM SIGMOD Conference on Management of Data (SIGMOD) (2011).

授权发明专利（专利名; 发明人; 公开号; 授权日期）

[1] Graph data search method and apparatus; Wenfei Fan, Xin Wang, Yinghui Wu (美国)
[2] 一种基于知识图谱的油气百科问答方法及系统；
[3] 一种分布式环境下图模式关联规则挖掘方法；
[4] 一种面向自然语言的内容多样化搜索方法；
[5] 基于图结构匹配的智能推荐系统及方法；
[6] 基于图结构匹配的社交网络分析方法；
[7] 一种支持布尔表达式查询的数据库管理系统；
[8] 一种基于支持向量机的情感分类系统及方法；
[9] 分布式环境下动态图结构匹配的方法；
[10] 一种基于知识图谱的自然语言问答方法及系统；
[11] 一种耦合社会信任信息的矩阵分解协同过滤方法和系统；
[12] 一种面向多轮查询的领域识别方法及系统；
[13] 一种基于路径搜索的知识图谱问答方法和装置；
[14] 基于贝叶斯分类器的知识图谱检索方法；
[15] 基于长短期记忆网络与注意力机制的井筒积液预测方法；
[16] 一种基于知识图谱的复杂问句问答方法、装置及存储介质；
[17] 基于改进GraphRNN的多标签文本分类模型及分类方法；
[18] 图数据的搜索方法和装置; 樊文飞, 王欣, 吴颖徽；