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王欣，男，博士(后)，研究員，博士生導師

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

英國愛丁堡大學計算機博士，校企聯合培養博士后，美國卡內基梅隆大學訪問學者。四川省“天府學者”特聘專家，四川省科技創新人才基金獲得者，四川省學術和技術帶頭人后備人選，成都市創新服務人才，綿陽市“產業尖端創新團隊”成員及學術和技術帶頭人。

近年來，先后主持了國家自然科學基金，四川省科技計劃項目，留學回國人員基金，油氣藏地質及開發工程國家重點實驗室、軟件開發環境國家重點實驗室開放課題等多項縱向科研項目，以及企業委托的多項橫向項目；主研國家重點研發計劃、國家自然科學基金重點項目、四川省重大科技專項等項目。在人工智能、數據庫與數據挖掘、能源（人工智能交叉）方向的頂級國際會議、期刊發表論文近百篇，撰寫專著三部，獲ICDE最佳論文亞軍，WISE最佳論文亞軍，DEXA優秀論文獎；研究成果申請國內外發明專利五十余項，獲授權二十余項；登記軟件著作權多項。獲中國石油和化工自動化行業科技進步一等獎、二等獎，技術發明一等獎等。參與省級教改項目多項，指導學生獲“中國大學生計算機設計大賽”全國三等獎、“中國大學生服務外包創新創業大賽”全國三等獎、“泰迪杯”數據挖掘挑戰賽全國二等獎等。

目前，他兼任四川省油氣勘探開發智能化工程研究中心副主任，四川省計算機學會自然語言分委會副主任委員、國家自然科學基金通訊評審專家、教育部學位中心通訊評議專家、四川省人工智能學會理事、四川省科技專家庫、四川省網信人才庫專家、ACM/IEEE/CAAI會員、CAAI青工委委員、《特種油氣藏》青年編委；同時，他也擔任多個國內外知名期刊以及國際會議的審稿人、程序委員會委員。

歡迎校內外同學報考本人博士（直博生）、碩士研究生，優秀申請者將給予經費資助！有意向者請郵件聯系。

知識工程、數據挖掘、石油工程數據分析與挖掘、數據庫理論與系統

主要論文(*標記為通訊作者)

[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) (2024).
[2] Xin Wang, Wang Zhang, Yuhong Wu, Xingpeng Zhang, Chao Wang, Huayi Zhan, Breaking the gap between label correlation and instance similarity via new multi-label contrastive learning, Neurocomputing (2024).
[3] Xingfa Zhou, Lan Yang, Xin Wang*, Huayi Zhan, Rui Sun, Two stages prompting for few-shot multi-intent detection, Neurocomputing (2024).
[4] Yu Fang, Chunhong Jia, Xin Wang, Fan Min, A fusion gas load prediction model with three-way residual error amendment, Energy (2024).
[5] Chong Zhang, Songfan Li, Yihang Song, Qianhe Meng, Li lu, Hongzi Zhu, Xin Wang, A Lightweight and Chip-Level Reconfigurable Architecture for Next-Generation IoT End Devices, IEEE Transactions on Computers (2024).
[6] Wenbo Xie, Bin Chen, Xun Fu, Junhao Shi, Yanli Lee, Xin Wang, Cost-effective hierarchical clustering with local density peak detection, Information Science (2024).
[7] Chong Zhang, Ke Lei, Xin Shi, Yang Wang, Ting Wang, Xin Wang, Lihu Zhou, Chuanhui Zhang, Xingjie Zeng, A Reliable Virtual Sensing Architecture with Zero Additional Deployment Costs for SHM Systems, IEEE Sensors Journal (2024).
[8] Chong Zhang, Ke Lei, Xin Shi, Yang Wang, Xin Wang*, Chuanhui Zhang, Lihu Zhou, Yan Chen and Hongjun Zhu, FAST: A Ubiquitous Inference Computation Model for Temperature and Humidity Sensing, IEEE Sensors Journal (2024).
[9] Wang Zhang, Xin Wang, Qian Wang, Tao Deng, Xiaoru Wu, From Text Segmentation to Enhanced Representation Learning: A Novel Approach to Multi-Label Classification for Long Texts, The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2024).
[10] Xun Fu, Wen-Bo Xie, Bin Chen, Tao Deng, Tian Zou and Xin Wang,ACDM: An Effective and Scalable Active Clustering with Pairwise Constraint, International Conference on Information and Knowledge Management (CIKM) (2024).
[11] Hai Zhu, Xin Wang, Kun Wang, Huayi Zhan, Temporal convolution shrinkage network for keyword spotting, International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024).
[12] Bing Wang, Hangbin Ye, Xingpeng Zhang, Dong He, Xin Wang, Qiuli Wang, Chunlan Zhao, Object Correlation Matrix For Two-Stage Object Detection Network, International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024).  
[13] Yonqing Diao, Yicheng Zhou, Honglian He, Xin Wang*, Huayi Zhan, Junjie Lin, Yuxi Huang, Adapting Contrastive Learning with Feature Fusion for Complex Question Answering, International Joint Conference on Neural Networks (IJCNN) (2024).
[14] Xingpeng Zhang, Meilin Gao, Guohai Gao, Xin Wang, Qiuli Wang, Edge-Guided Multilevel Feature Fusion Network for Lightweight Camouflaged Object Detection, International Joint Conference on Neural Networks (IJCNN) (2024).
[15] Yang Wang, Ke Lei, Chong Zhang, Xin Wang, Xin Shi, Aihua Deng, CBLA: Empowering Virtual Sensor Nodes with Zero Deployment Costs for SHM Systems, International Joint Conference on Neural Networks (IJCNN) (2024).
[16] 黃芳，王欣*，高國海，沈玲珍，付勛，方宇，融合主客觀評價的圖數據Top-k頻繁模式挖掘，山東大學學報（工學版）(2024).
[17] 高國海，王欣*，蔣薇，王永生，張恩莉，周燕，李亮，基于遷移學習的非均質儲層參數預測方法，特種油氣藏 (2024).
[18] 王璐，付勛，沈玲珍，蔣星，王欣*，基于主動學習的模式興趣評估方法，南京大學學報（自然科學版）(2024).
[19] 石俊豪，王欣*，鄒杰軍，方宇，蔣星，基于Motif的圖采樣算法研究，南京大學學報（自然科學版）(2024).
[20] 陳玙璠，王楊，蔣薇，王永生，梅青燕，王欣*，基于深度學習的FMI測井圖像裂縫分割研究，地球物理學進展 (2024).
[21] 高國海，趙祥東，蔣薇，王楊，劉勇，王欣*，基于代價敏感學習的碳酸鹽巖儲層流體識別研究，石油地球物理勘探 (2024).
[22] 沈玲珍，王欣*，石俊豪，王璐，模式感知采樣算法研究，計算機工程與科學 (2024).
[23] 趙祥東，蔣薇，高國海，王楊，張媺婧，王欣*，基于多模態信息融合的抽油機故障診斷技術研究，機械強度 (2024).
[24] 陶攀，方宇，王欣，楊梅，閔帆，胡玲，基于改進SAM模型的多任務軌道缺陷檢測方法，南京大學學報（自然科學版）(2024).
[25] 陳斌，謝文波，付勛，張恒基，王欣，基于改進局部密度的可擴展層次聚類算法，南京大學學報（自然科學版）(2024).
[26] 邱艷華，趙祥東，何焱，溫慶，劉勇，林宇，吳宇，王嘉欣，王欣*，基于關聯分析的集輸橇裝設備運行故障診斷研究，科學技術與工程 (2024).
[27] Wei Jiang, Xin Wang*, Shu Zhang, Integrating multi-modal data into AFSA-LSTM model for real-time oil production prediction, Energy (2023).
[28] 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).
[29] 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).
[30] 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).
[31] 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).
[32] 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).
[33] 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).
[34] 鄒杰軍，王欣*，石俊豪，蘭卓，方宇，張翀，謝文波，沈玲珍, 面向大圖的Top-Rank-K頻繁模式挖掘算法, 南京大學學報（自然科學版） (2023).
[35] 王欣，蔣濤，周冪，高國海，蔣薇，梅青燕，趙翔，鄰域信息增強的 MLSTM 在儲層參數預測中的應用研究 ——以非均質性碳酸鹽巖為例，地球物理學進展 (2023).
[36] 何宇昂，王欣*，沈玲珍，大圖中多樣化Top-k模式挖掘算法研究，計算機科學 (2023).
[37] 沙雨濟，王欣*，何艷瀟，鐘學燕，方宇，頻繁量化模式圖挖掘及應用，計算機科學 (2023).
[38] 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).
[39] 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).
[40] 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).
[41] 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).
[42] 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).
[43] Yu Fang, Xuemei Cao, Xin Wang and Fan Min, Three-way sampling for rapid attribute reduction, Information Sciences (2022)
[44] 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).
[45] 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).
[46] Huayi Zhan, Peixi Xiong, Xin Wang*, XIN WANG, and Lan Yang, Visual Question Answering by Pattern Matching and Reasoning, Neurocomputing (2022).
[47] 王欣，向明月，李思穎，趙若成，基于隱馬爾可夫模型的鐵路出行團體關系預測研究，計算機科學 (2022).
[48] 龐蘭蘇, 王楊, 蔣薇, 王永生, 高國海, 王欣* 基于機器學習的短生產周期碳酸鹽巖氣井產量預測研究, 特種油氣藏 (2022).
[49] 劉漢東, 鐘學燕, 陳雁, 王欣, 一種改進GraphRNN的多標簽文本分類方法，小型微型計算機系統 (2022).
[50] 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).
[51] 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).
[52] 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).
[53] 李思穎, 徐楊, 王欣*, 趙若成，基于關聯分析的鐵路旅客同行預測方法研究及應用，計算機科學 (2021).
[54] Xin Wang*, Yang Xu and Huayi Zhan, Extending Association Rules with Graph Patterns, Expert Systems with Applications (ESWA) (2020).
[55] 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).
[56] 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).
[57] Xin Wang, Xiufeng Liu, Ping Cheng, etc, View Selection for Graph Pattern Matching, International Conference on Database and Expert Systems Applications (DEXA) (2020).
[58] Xin Wang, Ji Zhang, Yan Zhu, etc, Bounded Pattern Matching Using Views, International Conference on Database and Expert Systems Applications (DEXA) (2020).
[59] Xin Wang, Yang Xu, Ji Zhang, etc, Extending Graph Pattern Matching with Regular Expressions, International Conference on Database and Expert Systems Applications (DEXA) (2020).
[60] 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).
[61] 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).
[62] 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).
[63] 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).
[64] 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).
[65] 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).
[66] 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).
[67] 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).
[68] Xin Wang, and Yang Xu, Mining Graph Pattern Association Rules, International Conference on Database and Expert Systems Applications (DEXA) (2018).
[69] Xin Wang, and Huayi Zhan, Approximating Diversified Top-k Graph Pattern Matching, International Conference on Database and Expert Systems Applications (DEXA) (2018).
[70] 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).
[71] Xin Wang, Answering Graph Pattern Matching Using Views: A Revisit, International Conference on Database and Expert Systems Applications (DEXA) (2017).
[72] 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).
[73] Wenfei Fan, Xin Wang* and Yinghui Wu, Answering pattern queries using views, IEEE Transactions on Knowledge and Data Engineering (TKDE) (2016).
[74] Wenfei Fan, Xin Wang, Yinghui Wu and Jingbo Xu, Association Rules with Graph Patterns, International Conference on Very Large Data Bases (VLDB) (2015).
[75] Wenfei Fan, Xin Wang and Yinghui Wu, Querying Big Graphs within Bounded Resources, ACM SIGMOD Conference on Management of Data (SIGMOD) (2014).
[76] Wenfei Fan, Xin Wang, Yinghui Wu and Deng Dong, Distributed Graph Simulation: Impossibility and Possibility, International Conference on Very Large Data Bases (VLDB) (2014).
[77] Wenfei Fan, Xin Wang and Yinghui Wu, Diversified top-k Graph Pattern Matching, International Conference on Very Large Data Bases (VLDB) (2014).
[78] Wenfei Fan, Xin Wang and Yinghui Wu, Answering Graph Pattern Queries Using Views, International Conference on Data Engineering (ICDE) (2014).
[79] Wenfei Fan, Xin Wang and Yinghui Wu, Incremental Graph Pattern Matching, ACM Transactions on Database Systems (TODS) (2013).
[80] Wenfei Fan, Xin Wang and Yinghui Wu, ExpFinder: Finding Experts by Graph Pattern Matching, International Conference on Data Engineering (ICDE) (2013).
[81] Wenfei Fan, Jianzhong Li, Xin Wang and Yinghui Wu, Query Preserving Graph Compression, ACM SIGMOD Conference on Management of Data (SIGMOD) (2012).
[82] Wenfei Fan, Xin Wang and Yinghui Wu, Performance Guarantees for Distributed Reachability Queries, International Conference on Very Large Data Bases (VLDB) (2012).
[83] 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).

授權發明專利

[1] Graph data search method and apparatus (美國);
[2] 一種基于增強圖注意力網絡的敏感信息識別方法及系統;
[3] 一種基于遷移學習的非均質儲層參數預測方法及系統;
[4] 一種基于深度學習的電成像測井圖像裂縫分割方法及系統;
[5] 一種基于知識圖譜的油氣百科問答方法及系統;
[6] 一種分布式環境下圖模式關聯規則挖掘方法;
[7] 一種面向自然語言的內容多樣化搜索方法;
[8] 基于圖結構匹配的智能推薦系統及方法;
[9] 基于圖結構匹配的社交網絡分析方法;
[10] 一種支持布爾表達式查詢的數據庫管理系統;
[11] 一種基于支持向量機的情感分類系統及方法;
[12] 分布式環境下動態圖結構匹配的方法;
[13] 一種基于知識圖譜的自然語言問答方法及系統;
[14] 一種耦合社會信任信息的矩陣分解協同過濾方法和系統;
[15] 一種面向多輪查詢的領域識別方法及系統;
[16] 一種基于路徑搜索的知識圖譜問答方法和裝置;
[17] 基于貝葉斯分類器的知識圖譜檢索方法;
[18] 基于長短期記憶網絡與注意力機制的井筒積液預測方法;
[19] 一種基于知識圖譜的復雜問句問答方法、裝置及存儲介質;
[20] 基于改進GraphRNN的多標簽文本分類模型及分類方法;
[21] 圖數據的搜索方法和裝置;