主要獲獎(jiǎng)情況 [1]中國(guó)石油和化工自動(dòng)化行業(yè)科技進(jìn)步一等獎(jiǎng)，排名第一，2025年
[2]《人工智能基礎(chǔ)與實(shí)踐》2025亞太人工智能教育教材一等獎(jiǎng)，2025年
[3]中國(guó)石油和化工自動(dòng)化行業(yè)科技進(jìn)步二等獎(jiǎng)，排名第一，2024年
[4]中國(guó)石油和化工自動(dòng)化行業(yè)技術(shù)發(fā)明一等獎(jiǎng)，2022年
[5]中國(guó)石油和化工自動(dòng)化行業(yè)科技進(jìn)步一等獎(jiǎng)，2021年
[6]International Conference on Web Information Systems Engineering (WISE，CCF B), Best paper Runner-up Award, 2019年
[7]International Conference on Data Engineering (ICDE，CCF A), Best paper Runner-up Award, 2014年 主要論文(*標(biāo)記為通訊作者) [1]Xin Wang, Haiyang Pan, Zhenhao Tong, Ji Zhang, Bin Hu, Wenbo Xie, SPGRF: A Structure-Preserving Graph Reduction Framework, International Conference on Database Systems for Advanced Applications (DASFAA) (2026).
[2]Xin Wang, Tian Wang, Lu Wang, Yuxin Zhang, Bin Hu, Chong Zhang, Wenbo Xie, Certified Pseudo-label Enhanced Active Learning Framework for Pattern Interest Evaluation, International Conference on Database Systems for Advanced Applications (DASFAA) (2026).
[3]Xin Wang, Fang Huang, Hai-Yang Pan, Tian Wang, Wen-Bo Xie, Mining Top-k Patterns by Incorporating Subjective Interest, Information Sciences (2026).
[4]Wen-Bo Xie, Xun Fu, Bin Chen, Yan-Li Lee, Tao Deng, Tian Zou, Xin Wang, Zhen Liu, and Jaideep Srivastava, Data Skeleton Learning: Scalable Active Clustering with Sparse Graph Structures, Pattern Recognition (2026).
[5]王欣，吳曉茹，張翀，鄧力琿，賈虎，李杰，王軍，于林，天然氣全生命周期產(chǎn)量預(yù)測(cè)關(guān)鍵技術(shù)研究，工程科學(xué)學(xué)報(bào) (2026).
[6]胡濱，謝文波，肖峻峰，晏思思，張翀，王欣*，基于 Motif 的圖模式感知采樣，山東大學(xué)學(xué)報(bào)（工學(xué)版）(2026).
[7]Xin Wang, Junfeng Xiao, Wang Zhang, Tao Deng, and Qian Wang, Segmentation, Fusion, and Representation: A Novel Approach to Multi-Label Classification for Long Texts, Expert Systems with Applications (ESWA) (2025).
[8]Xun Fu, Xin Wang*, and Yang Ni, Cluster Skeleton Exploration: an Effective and Scalable Active Constrained Clustering, The IEEE International Conference on Data Mining (ICDM) (2025).
[9]Qiuyu Wang, Wenbo Xie, Tao Deng, Tian Zou, Xuanlin Zhu, Xun Fu, and Xin Wang, ACMCG: A Cost-effective Active Clustering with Minimal Constraint Graph,Conference on Information and Knowledge Management (CIKM) (2025).
[10]Wenbo Xie, Tian Zou, Tao Deng, Xuanlin Zhu, Xun Fu, Qiuyu Wang, Bin Chen, and Xin Wang, A Robust and High-Efficiency Active Clustering Framework with Multi-User Collaboration, Conference on Information and Knowledge Management (CIKM) (2025).
[11]王欣，吳曉茹，李杰，周冪，于林，基于Transformer和產(chǎn)量遞減模型的井口壓力智能預(yù)測(cè)方法，中國(guó)海上油氣 (2025).
[12]蔣星，王欣*，潘海洋，胡濱，面向大規(guī)模圖數(shù)據(jù)的參數(shù)化模式挖掘技術(shù)及應(yīng)用，南京大學(xué)學(xué)報(bào)（自然科學(xué)版）(2025).
[13]王甜，王璐，謝文波，王欣*，可信偽標(biāo)簽增強(qiáng)的模式興趣主動(dòng)學(xué)習(xí)評(píng)估框架，模式識(shí)別與人工智能 (2025).
[14]王欣，江越，曾星杰，基于多層級(jí)圖神經(jīng)網(wǎng)絡(luò)的并間連通性評(píng)估研究，石油地球物理勘探 (2025).
[15]黃芳，王欣*，高國(guó)海，沈玲珍，付勛，方宇，融合主客觀(guān)評(píng)價(jià)的圖數(shù)據(jù)Top-k頻繁模式挖掘，山東大學(xué)學(xué)報(bào)（工學(xué)版）(2025).
[16]謝文波，鄧濤，付勛，陳斌，鄒甜，王欣，基于改進(jìn)最近鄰圖的主動(dòng)聚類(lèi)方法，模式識(shí)別與人工智能 (2025).
[17]李繼，方宇，閔帆，王欣，基于預(yù)訓(xùn)練機(jī)制的時(shí)空?qǐng)D氣量預(yù)測(cè)模型，南京大學(xué)學(xué)報(bào)（自然科學(xué)版）(2025).
[18]Xin Wang, Junhao Shi, Jiejun Zou, Lingzhen Shen, Zhuo Lan, Yu Fang, and Wenbo Xie, Supports estimation via graph sampling, Expert Systems with Applications (ESWA) (2024).
[19]Xin Wang, Wang Zhang, Yuhong Wu, Xingpeng Zhang, Chao Wang, and Huayi Zhan, Breaking the gap between label correlation and instance similarity via new multi-label contrastive learning, Neurocomputing (2024).
[20]Xingfa Zhou, Lan Yang, Xin Wang*, Huayi Zhan, and Rui Sun, Two stages prompting for few-shot multi-intent detection, Neurocomputing (2024).
[21]Yu Fang, Chunhong Jia, Xin Wang, and Fan Min, A fusion gas load prediction model with three-way residual error amendment, Energy (2024).
[22]Chong Zhang, Songfan Li, Yihang Song, Qianhe Meng, Li lu, Hongzi Zhu, and Xin Wang, A Lightweight and Chip-Level Reconfigurable Architecture for Next-Generation IoT End Devices, IEEE Transactions on Computers (2024).
[23]Wenbo Xie, Bin Chen, Xun Fu, Junhao Shi, Yanli Lee, and Xin Wang, Cost-effective hierarchical clustering with local density peak detection, Information Science (2024).
[24]Chong Zhang, Ke Lei, Xin Shi, Yang Wang, Ting Wang, Xin Wang, Lihu Zhou, Chuanhui Zhang, and Xingjie Zeng, A Reliable Virtual Sensing Architecture with Zero Additional Deployment Costs for SHM Systems, IEEE Sensors Journal (2024).
[25]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).
[26]Wang Zhang, Xin Wang, Qian Wang, Tao Deng, and 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).
[27]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).
[28]Hai Zhu, Xin Wang, Kun Wang, and Huayi Zhan, Temporal convolution shrinkage network for keyword spotting, International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024).
[29]Bing Wang, Hangbin Ye, Xingpeng Zhang, Dong He, Xin Wang, and Qiuli Wang, Chunlan Zhao, Object Correlation Matrix For Two-Stage Object Detection Network, International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024).
[30]Yonqing Diao, Yicheng Zhou, Honglian He, Xin Wang*, Huayi Zhan, Junjie Lin, and Yuxi Huang, Adapting Contrastive Learning with Feature Fusion for Complex Question Answering, International Joint Conference on Neural Networks (IJCNN) (2024).
[31]Xingpeng Zhang, Meilin Gao, Guohai Gao, Xin Wang, and Qiuli Wang, Edge-Guided Multilevel Feature Fusion Network for Lightweight Camouflaged Object Detection, International Joint Conference on Neural Networks (IJCNN) (2024).
[32]Yang Wang, Ke Lei, Chong Zhang, Xin Wang, Xin Shi, and Aihua Deng, CBLA: Empowering Virtual Sensor Nodes with Zero Deployment Costs for SHM Systems, International Joint Conference on Neural Networks (IJCNN) (2024).
[33]高國(guó)海，王欣*，蔣薇，王永生，張恩莉，周燕，李亮，基于遷移學(xué)習(xí)的非均質(zhì)儲(chǔ)層參數(shù)預(yù)測(cè)方法，特種油氣藏 (2024).
[34]王璐，付勛，沈玲珍，蔣星，王欣*，基于主動(dòng)學(xué)習(xí)的模式興趣評(píng)估方法，南京大學(xué)學(xué)報(bào)（自然科學(xué)版）(2024).
[35]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(xué)學(xué)報(bào)（自然科學(xué)版）(2024).
[36]陳玙璠，王楊，蔣薇，王永生，梅青燕，王欣*，基于深度學(xué)習(xí)的FMI測(cè)井圖像裂縫分割研究，地球物理學(xué)進(jìn)展 (2024).
[37]高國(guó)海，趙祥東，蔣薇，王楊，劉勇，王欣*，基于代價(jià)敏感學(xué)習(xí)的碳酸鹽巖儲(chǔ)層流體識(shí)別，石油地球物理勘探 (2024).
[38]沈玲珍，王欣*，石俊豪，王璐，模式感知采樣算法研究，計(jì)算機(jī)工程與科學(xué) (2024).
[39]趙祥東，蔣薇，高國(guó)海，王楊，張媺婧，王欣*，基于多模態(tài)信息融合的抽油機(jī)故障診斷技術(shù)研究，機(jī)械強(qiáng)度 (2024).
[40]陶攀，方宇，王欣，楊梅，閔帆，胡玲，基于改進(jìn)SAM模型的多任務(wù)軌道缺陷檢測(cè)方法，南京大學(xué)學(xué)報(bào)（自然科學(xué)版）(2024).
[41]陳斌，謝文波，付勛，張恒基，王欣，基于改進(jìn)局部密度的可擴(kuò)展層次聚類(lèi)算法，南京大學(xué)學(xué)報(bào)（自然科學(xué)版）(2024).
[42]邱艷華，趙祥東，何焱，溫慶，劉勇，林宇，吳宇，王嘉欣，王欣*，基于關(guān)聯(lián)分析的集輸橇裝設(shè)備運(yùn)行故障診斷研究，科學(xué)技術(shù)與工程 (2024).
[43]Wei Jiang, Xin Wang*, and Shu Zhang, Integrating multi-modal data into AFSA-LSTM model for real-time oil production prediction, Energy (2023).
[44]Xin Wang, Yongsheng Wang, Lansu Pang, Tao Jiang, Yufan Chen, Yang Wang, Qingyan Mei, Shenglan Qing, and Wei Jiang, Capturing intrinsic features from field data for predicting the production of natural gas, Geoenergy Science and Engineering (2023).
[45]Xin Wang, Honglian He, Yongqing Diao, and Huayi Zhan, Leveraging Dual Encoder Models for Complex Question Answering over Knowledge Bases, Pacific Rim International Conference on Artificial Intelligence (PRICAI) (2023).
[46]Wang Zhang, Xin Wang*, Yuhong Wu, Xingpeng Zhang, and Huayi Zhan, Enhancing Representation Learning with Label Association for Multi-Label Text Classification, IEEE International Conference on Big Data (ICBD) (2023).
[47]Wenbo Xie, Bin Chen, Junhao Shi, Yanli Li, Xin Wang, and Xun Fu, Cost-effective clustering by aggregating local density peaks, International Conference on Database Systems for Advanced Applications (DASFAA) (2023).
[48]Xingfa Zhou, Min Li, Lan Yang, Rui Sun, Xin Wang, and Huayi Zhan, Emotion Prompting for Speech Emotion Recognition, Conference of the International Speech Communication Association (INTERSPEECH) (2023).
[49]Linlin Hou, Dandan Ren, Ting Yu, Lingling Li, Xin Wang, and Ji Zhang, A Dataset for Entity Recognition of COVID-19 Public Opinion in Social Media, International Conference on Behavioural and Social Computing (BESC) (2023).
[50]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(xué)學(xué)報(bào)（自然科學(xué)版） (2023).
[51]王欣，蔣濤，周冪，高國(guó)海，蔣薇，梅青燕，趙翔，鄰域信息增強(qiáng)的 MLSTM 在儲(chǔ)層參數(shù)預(yù)測(cè)中的應(yīng)用研究 ——以非均質(zhì)性碳酸鹽巖為例，地球物理學(xué)進(jìn)展 (2023).
[52]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(jì)算機(jī)科學(xué) (2023).
[53]沙雨濟(jì)，王欣*，何艷瀟，鐘學(xué)燕，方宇，頻繁量化模式圖挖掘及應(yīng)用，計(jì)算機(jī)科學(xué) (2023).
[54]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).
[55]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).
[56]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).
[57]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).
[58]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).
[59]Yu Fang, Xuemei Cao, Xin Wang and Fan Min, Three-way sampling for rapid attribute reduction, Information Sciences (2022)
[60]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).
[61]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).
[62]Huayi Zhan, Peixi Xiong, Xin Wang*, XIN WANG, and Lan Yang, Visual Question Answering by Pattern Matching and Reasoning, Neurocomputing (2022).
[63]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(tuán)體關(guān)系預(yù)測(cè)研究，計(jì)算機(jī)科學(xué) (2022).
[64]龐蘭蘇, 王楊, 蔣薇, 王永生, 高國(guó)海, 王欣* 基于機(jī)器學(xué)習(xí)的短生產(chǎn)周期碳酸鹽巖氣井產(chǎn)量預(yù)測(cè)研究, 特種油氣藏 (2022).
[65]劉漢東, 鐘學(xué)燕, 陳雁, 王欣, 一種改進(jìn)GraphRNN的多標(biāo)簽文本分類(lèi)方法，小型微型計(jì)算機(jī)系統(tǒng) (2022).
[66]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).
[67]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).
[68]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).
[69]李思穎, 徐楊, 王欣*, 趙若成，基于關(guān)聯(lián)分析的鐵路旅客同行預(yù)測(cè)方法研究及應(yīng)用，計(jì)算機(jī)科學(xué) (2021).
[70]Xin Wang*, Yang Xu and Huayi Zhan, Extending Association Rules with Graph Patterns, Expert Systems with Applications (ESWA) (2020).
[71]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).
[72]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).
[73]Xin Wang, Xiufeng Liu, Ping Cheng, etc, View Selection for Graph Pattern Matching, International Conference on Database and Expert Systems Applications (DEXA) (2020).
[74]Xin Wang, Ji Zhang, Yan Zhu, etc, Bounded Pattern Matching Using Views, International Conference on Database and Expert Systems Applications (DEXA) (2020).
[75]Xin Wang, Yang Xu, Ji Zhang, etc, Extending Graph Pattern Matching with Regular Expressions, International Conference on Database and Expert Systems Applications (DEXA) (2020).
[76]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).
[77]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).
[78]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).
[79]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).
[80]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).
[81]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).
[82]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).
[83]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).
[84]Xin Wang, and Yang Xu, Mining Graph Pattern Association Rules, International Conference on Database and Expert Systems Applications (DEXA) (2018).
[85]Xin Wang, and Huayi Zhan, Approximating Diversified Top-k Graph Pattern Matching, International Conference on Database and Expert Systems Applications (DEXA) (2018).
[86]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).
[87]Xin Wang, Answering Graph Pattern Matching Using Views: A Revisit, International Conference on Database and Expert Systems Applications (DEXA) (2017).
[88]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).
[89]Wenfei Fan, Xin Wang* and Yinghui Wu, Answering pattern queries using views, IEEE Transactions on Knowledge and Data Engineering (TKDE) (2016).
[90]Wenfei Fan, Xin Wang, Yinghui Wu and Jingbo Xu, Association Rules with Graph Patterns, International Conference on Very Large Data Bases (VLDB) (2015).
[91]Wenfei Fan, Xin Wang and Yinghui Wu, Querying Big Graphs within Bounded Resources, ACM SIGMOD Conference on Management of Data (SIGMOD) (2014).
[92]Wenfei Fan, Xin Wang, Yinghui Wu and Deng Dong, Distributed Graph Simulation: Impossibility and Possibility, International Conference on Very Large Data Bases (VLDB) (2014).
[93]Wenfei Fan, Xin Wang and Yinghui Wu, Diversified top-k Graph Pattern Matching, International Conference on Very Large Data Bases (VLDB) (2014).
[94]Wenfei Fan, Xin Wang and Yinghui Wu, Answering Graph Pattern Queries Using Views, International Conference on Data Engineering (ICDE) (2014).
[95]Wenfei Fan, Xin Wang and Yinghui Wu, Incremental Graph Pattern Matching, ACM Transactions on Database Systems (TODS) (2013).
[96]Wenfei Fan, Xin Wang and Yinghui Wu, ExpFinder: Finding Experts by Graph Pattern Matching, International Conference on Data Engineering (ICDE) (2013).
[97]Wenfei Fan, Jianzhong Li, Xin Wang and Yinghui Wu, Query Preserving Graph Compression, ACM SIGMOD Conference on Management of Data (SIGMOD) (2012).
[98]Wenfei Fan, Xin Wang and Yinghui Wu, Performance Guarantees for Distributed Reachability Queries, International Conference on Very Large Data Bases (VLDB) (2012).
[99]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(quán)發(fā)明專(zhuān)利 [1]Graph data search method and apparatus (美國(guó));
[2]一種面向碳酸鹽巖氣井的短周期產(chǎn)氣量預(yù)測(cè)方法及系統(tǒng);
[3]一種基于主動(dòng)學(xué)習(xí)技術(shù)的地下儲(chǔ)層巖性識(shí)別方法;
[4]一種基于增強(qiáng)圖注意力網(wǎng)絡(luò)的敏感信息識(shí)別方法及系統(tǒng);
[5]一種基于遷移學(xué)習(xí)的非均質(zhì)儲(chǔ)層參數(shù)預(yù)測(cè)方法及系統(tǒng);
[6]一種基于深度學(xué)習(xí)的電成像測(cè)井圖像裂縫分割方法及系統(tǒng);
[7]一種基于知識(shí)圖譜的油氣百科問(wèn)答方法及系統(tǒng);
[8]一種分布式環(huán)境下圖模式關(guān)聯(lián)規(guī)則挖掘方法;
[9]一種面向自然語(yǔ)言的內(nèi)容多樣化搜索方法;
[10]基于圖結(jié)構(gòu)匹配的智能推薦系統(tǒng)及方法;
[11]基于圖結(jié)構(gòu)匹配的社交網(wǎng)絡(luò)分析方法;
[12]一種支持布爾表達(dá)式查詢(xún)的數(shù)據(jù)庫(kù)管理系統(tǒng);
[13]一種基于支持向量機(jī)的情感分類(lèi)系統(tǒng)及方法;
[14]分布式環(huán)境下動(dòng)態(tài)圖結(jié)構(gòu)匹配的方法;
[15]一種基于知識(shí)圖譜的自然語(yǔ)言問(wèn)答方法及系統(tǒng);
[16]一種耦合社會(huì)信任信息的矩陣分解協(xié)同過(guò)濾方法和系統(tǒng);
[17]一種面向多輪查詢(xún)的領(lǐng)域識(shí)別方法及系統(tǒng);
[18]一種基于路徑搜索的知識(shí)圖譜問(wèn)答方法和裝置;
[19]基于貝葉斯分類(lèi)器的知識(shí)圖譜檢索方法;
[20]基于長(zhǎng)短期記憶網(wǎng)絡(luò)與注意力機(jī)制的井筒積液預(yù)測(cè)方法;
[21]一種基于知識(shí)圖譜的復(fù)雜問(wèn)句問(wèn)答方法、裝置及存儲(chǔ)介質(zhì);
[22]基于改進(jìn)GraphRNN的多標(biāo)簽文本分類(lèi)模型及分類(lèi)方法;
[23]圖數(shù)據(jù)的搜索方法和裝置; |
