基本信息
沈华伟  男  硕导  中国科学院计算技术研究所
电子邮件: shenhuawei@ict.ac.cn
通信地址: 北京2704信箱
邮政编码:

研究领域

社会计算、机器学习、数据挖掘

招生信息

   
招生专业
081203-计算机应用技术
招生方向
社会网络分析,机器学习,数据挖掘

教育背景

2004-09--2010-01   中国科学院计算技术研究所   博士
1999-09--2003-07   西安邮电学院   学士

教授课程

高级人工智能
网络数据挖掘
社会信息网络分析

专利与奖励

   
奖励信息
(1) 社会化媒体数据的感知与处理关键技术及应用, 二等奖, 省级, 2015
(2) 社会化媒体数据的分析与检索, 一等奖, 其他, 2014
(3) 大规模网络信息监测与服务系统关键技术及应用, 二等奖, 国家级, 2012
(4) 大规模网络信息监测与服务系统关键技术及应用, 一等奖, 其他, 2011
专利成果
[1] 刘盛华, 程学旗, 周厚铨, 刘财政, 沈华伟. 一种同质关系大图的摘要提取方法及系统. CN: CN113139098A, 2021-07-20.
[2] 沈华伟, 王兆慧, 曹婍, 徐冰冰, 岑科廷, 程学旗. 基于位置学习图卷积神经网络的图分类方法及系统. CN: CN113128587A, 2021-07-16.
[3] 孙晓茜, 梁付槐, 沈华伟, 程学旗. 一种用于金融市场监管的流动性评价方法. CN: CN112907380A, 2021-06-04.
[4] 程学旗, 曹婍, 沈华伟, 高金华, 刘盛华. 网络信息传播影响力度量方法、系统及影响力最大化方法. CN: CN109741198B, 2021-03-05.
[5] 沈华伟, 刘伟, 张静, 查礼, 付戈, 程学旗. 一种训练用于预测社交网络用户转发消息的模型的方法. CN: CN107566249B, 2020-12-29.
[6] 程学旗, 段雪野, 王永庆, 杨亚茹, 沈华伟. 一种基于机器学习的跨社交网络用户身份识别方法和系统. CN: CN109753602B, 2020-12-25.
[7] 程学旗, 刘财政, 刘盛华, 沈华伟. 一种基于视觉特征的图数据检测方法、系统. CN: CN109828995B, 2020-12-11.
[8] 程学旗, 刘盛华, 喻文健, 张嘉宝, 冯文杰, 沈华伟. 针对流式图的密集子图检测方法及系统. CN: CN109753797B, 2020-11-03.
[9] 井雅琪, 李扬曦, 刘权, 段东圣, 张皓彭, 杨亚茹, 沈华伟, 佟玲玲, 任博雅, 胡燕林, 段运强, 时磊. 一种社交群体发现方法、装置和存储介质. CN: CN110704612A, 2020-01-17.
[10] 井雅琪, 李扬曦, 任博雅, 杨亚茹, 沈华伟, 佟玲玲, 时磊, 王永庆, 段运强, 段东圣. 基于置信度的群体发现方法及装置. CN: CN110674390A, 2020-01-10.
[11] 程学旗, 庞亮, 兰艳艳, 郭嘉丰, 沈华伟, 陈丽娟, 张海楠, 曾玮, 李家宁, 赵峻瑶, 倪艺函. 基于细粒度匹配信号的文本相关性度量方法和系统. CN: CN109753649A, 2019-05-14.
[12] 沈华伟, 刘伟, 张静, 查礼, 付戈, 程学旗. 一种训练用于预测社交网络用户转发消息的模型的方法. 中国: CN106503858A, 2017-03-15.
[13] 笱程成, 程学旗, 杜攀, 刘悦, 沈华伟. 一种基于循环神经网络的社交网络消息爆发检测方法及系统. 中国: CN105975504A, 2016-09-28.

出版信息

   
发表论文
[1] 王兆慧, 沈华伟, 曹婍, 程学旗. 图分类研究综述. 软件学报. 2022, 33(1): 171-192, http://lib.cqvip.com/Qikan/Article/Detail?id=7106515294.
[2] Cao, Qi, Shen, Huawei, Gao, Jinhua, Cheng, Xueqi. Learning diffusion model-free and efficient influence function for influence maximization from information cascades. KNOWLEDGE AND INFORMATION SYSTEMS[J]. 2021, 63(5): 1173-1196, https://www.webofscience.com/wos/woscc/full-record/WOS:000630644700001.
[3] Lyu, Shanshan, Ouyang, Wentao, Wang, Yongqing, Shen, Huawei, Cheng, Xueqi. Truth Discovery by Claim and Source Embedding. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2021, 33(3): 1264-1275, http://dx.doi.org/10.1109/TKDE.2019.2936189.
[4] Huang, Junjie, Shen, Huawei, Hou, Liang, Cheng, Xueqi. SDGNN: Learning Node Representation for Signed Directed Networks. 2021, http://arxiv.org/abs/2101.02390.
[5] Ke, Wenjun, Gao, Jinhua, Shen, Huawei, Cheng, Xueqi, Karlapalem, K, Cheng, H, Ramakrishnan, N, Agrawal, RK, Reddy, PK, Srivastava, J, Chakraborty, T. Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2021, PT IInull. 2021, 12713: 743-755, [6] Shen Huawei. Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field. AAAI. 2021, [7] 赵睿卓, 高金华, 孙晓茜, 徐力, 沈华伟, 程学旗. 基于树形语义框架的神经语义解析方法. 中文信息学报. 2021, 35(1): 9-16, http://lib.cqvip.com/Qikan/Article/Detail?id=7104091817.
[8] 陈楚杰, 吕建明, 沈华伟. 基于关键词注意力的细粒度面试评价方法. 计算机研究与发展. 2021, 58(9): 2013-2024, [9] Feng, Wenjie, Liu, Shenghua, Faloutsos, Christos, Hooi, Bryan, Shen, Huawei, Cheng, Xueqi. EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE[J]. 2021, 115: 236-250, http://dx.doi.org/10.1016/j.future.2020.08.033.
[10] Li, Siying, Shen, Huawei, Bao, Peng, Cheng, Xueqi. h(u)-index: a unified index to quantify individuals across disciplines. SCIENTOMETRICS[J]. 2021, 126(4): 3209-3226, https://www.webofscience.com/wos/woscc/full-record/WOS:000621730600003.
[11] 曹婍, 沈华伟, 高金华, 程学旗. 基于深度学习的流行度预测研究综述. 中文信息学报. 2021, 35(2): 1-18+32, http://lib.cqvip.com/Qikan/Article/Detail?id=7104315065.
[12] Tao, Shuchang, Shen, Huawei, Cao, Qi, Hou, Liang, Cheng, Xueqi. Adversarial Immunization for Certifiable Robustness on Graphs. 2021, http://arxiv.org/abs/2007.09647.
[13] Zhao, Ruizhuo, Gao, Jinhua, Shen, Huawei, Cheng, Xueqi, Karlapalem, K, Cheng, H, Ramakrishnan, N, Agrawal, RK, Reddy, PK, Srivastava, J, Chakraborty, T. Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2021, PT IInull. 2021, 12713: 664-675, [14] Hou, Liang, Yuan, Zehuan, Huang, Lei, Shen, Huawei, Cheng, Xueqi, Wang, Changhu. Slimmable Generative Adversarial Networks. 2021, http://arxiv.org/abs/2012.05660.
[15] Cao, Qi, Shen, Huawei, Gao, Hnhua, Wei, Bingzheng, Cheng, Xuegi, ACM. Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM '20)null. 2020, 70-78, http://dx.doi.org/10.1145/3336191.3371834.
[16] Xu Bingbing, Shen Huawei, Cao Qi, Cen Keting, Cheng Xueqi. Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. 2020, http://arxiv.org/abs/2007.16002.
[17] Gao, Hao, Wang, Yongqing, Lyu, Shanshan, Shen, Huawei, Cheng, Xueqi, Chen, E, Antoniou, G, Wu, X, Kumar, V. GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction. 11TH IEEE INTERNATIONAL CONFERENCE ON KNOWLEDGE GRAPH (ICKG 2020)null. 2020, 412-419, http://dx.doi.org/10.1109/ICBK50248.2020.00065.
[18] 徐冰冰, 岑科廷, 黄俊杰, 沈华伟, 程学旗. 图卷积神经网络综述. 计算机学报[J]. 2020, 43(5): 755-780, http://lib.cqvip.com/Qikan/Article/Detail?id=7101657044.
[19] 程学旗, 梅宏, 赵伟, 华云生, 沈华伟, 李国杰. 数据科学与计算智能:内涵、范式与机遇. 中国科学院院刊[J]. 2020, 35(12): 1470-1481, http://lib.cqvip.com/Qikan/Article/Detail?id=7103645802.
[20] Wang, Hao, Shen, Huawei, Cheng, Xueqi, Lauw, HW, Wong, RCW, Ntoulas, A, Lim, EP, Ng, SK, Pan, SJ. Modeling Users' Multifaceted Interest Correlation for Social Recommendation. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2020, PT Inull. 2020, 12084: 118-129, [21] Wang, Hao, Shen, Huawei, Cheng, Xueqi, Lauw, HW, Wong, RCW, Ntoulas, A, Lim, EP, Ng, SK, Pan, SJ. Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2020, PT Inull. 2020, 12084: 130-141, [22] Li, Kai, Lv, Tianyang, Shen, Huawei, Qiao, Lisheng, Chen, Enhong, Cheng, Xueqi, Sun, Zhi. An empirical analysis on the behavioral differentia of the "Elite-Civilian" users in Sina microblog. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS[J]. 2020, 539: http://dx.doi.org/10.1016/j.physa.2019.122974.
[23] Shen Huawei. Dual Rejection Sampling for Wasserstein Auto-Encoders. ECAI. 2020, [24] Shen Huawei. Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. SIGIR. 2020, [25] Yan, Rong, Shen, Huawei, Cao, Qi, Cen, Keting, Wang, Li, Lee, W, Chen, L, Moon, YS, Bourgeois, J, Bennis, M, Li, YF, Ha, YG, Kwon, HY, Cuzzocrea, A. GraphWGAN: Graph Representation Learning with Wasserstein Generative Adversarial Networks. 2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP 2020)null. 2020, 315-322, [26] Shao, Jiangli, Shen, Huawei, Cao, Qi, Cheng, Xueqi, Zhang, Q, Liao, X, Ren, Z. Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias. INFORMATION RETRIEVAL (CCIR 2019)null. 2019, 11772: 135-147, http://dx.doi.org/10.1007/978-3-030-31624-2_11.
[27] Liu, Yahui, Jin, Xiaolong, Shen, Huawei. Towards early identification of online rumors based on long short-term memory networks. INFORMATION PROCESSING & MANAGEMENT[J]. 2019, 56(4): 1457-1467, http://dx.doi.org/10.1016/j.ipm.2018.11.003.
[28] Feng, Wenjie, Liu, Shenghua, Faloutsos, Christos, Hooi, Bryan, Shen, Huawei, Cheng, Xueqi, Yang, Q, Zhou, ZH, Gong, Z, Zhang, ML, Huang, SJ. Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2019, PT Inull. 2019, 11439: 541-554, [29] Xing, Guoliang, Gao, Hao, Cao, Qi, Yue, Xinyu, Xu, Bingbing, Cen, Keting, Shen, Huawei. User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction: First-place Entry for User Profiling Technology Evaluation Campaign in SMP Cup 2017. DATA INTELLIGENCE[J]. 2019, 1(2): 137-159, http://dx.doi.org/10.1162/dint_a_00015.
[30] Guan, Saiping, Jin, Xiaolong, Wang, Yuanzhuo, Jia, Yantao, Shen, Huawei, Li, Zixuan, Cheng, Xueqi. Self-learning and embedding based entity alignment. KNOWLEDGE AND INFORMATION SYSTEMS[J]. 2019, 59(2): 361-386, https://www.webofscience.com/wos/woscc/full-record/WOS:000461572500005.
[31] Shi, FaBin, Sun, XiaoQian, Shen, HuaWei, Cheng, XueQi. Detect colluded stock manipulation via clique in trading network. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS[J]. 2019, 513: 565-571, http://dx.doi.org/10.1016/j.physa.2018.09.011.
[32] Shen, Huawei, Tang, Jian, Bao, Peng, ACM. GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications. PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)null. 2019, 2997-2998, http://dx.doi.org/10.1145/3357384.3358803.
[33] Lyu, Shanshan, Wang, Yongqing, Ouyang, Wentao, Shen, Huawei, Cheng, Xueqi, Assoc Comp Machinery. What We Vote for? Answer Selection from User Expertise View in Community Question Answering. WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)null. 2019, 1198-1209, http://dx.doi.org/10.1145/3308558.3313510.
[34] Liu, Shenghua, Shen, Huawei, Zheng, Houdong, Cheng, Xueqi, Liao, Xiangwen. CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors. ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA[J]. 2019, 13(6): http://dx.doi.org/10.1145/3363570.
[35] Shen Huawei. Unified Collaborative Filtering over Graph Embeddings with Attentive Model Selection. SIGIR. 2019, [36] Lyu, Shanshan, Ouyang, Wentao, Shen, Huawei, Cheng, Xueqi. Learning representations for quality estimation of crowdsourced submissions. INFORMATION PROCESSING & MANAGEMENT[J]. 2019, 56(4): 1484-1493, http://dx.doi.org/10.1016/j.ipm.2018.10.020.
[37] Lyu, Shanshan, Ouyang, Wentao, Shen, Huawei, Cheng, Xueqi. Learning representations for quality estimation of crowdsourced submissions. INFORMATION PROCESSING & MANAGEMENT[J]. 2019, 56(4): 1484-1493, http://dx.doi.org/10.1016/j.ipm.2018.10.020.
[38] FaBin Shi, XiaoQian Sun, JinHua Gao, Li Xu, HuaWei Shen, XueQi Cheng. Anomaly detection in Bitcoin market via price return analysis.. PLoS ONE[J]. 2019, 14(6): https://doaj.org/article/f1886445ea164499aa6e7abcf970f8b9.
[39] Huang, Junjie, Shen, Huawei, Hou, Liang, Cheng, Xueqi, Tetko, IV, Kurkova, V, Karpov, P, Theis, F. Signed Graph Attention Networks. ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: WORKSHOP AND SPECIAL SESSIONSnull. 2019, 11731: 566-577, [40] Wang Yongqing, Shen Huawei, Gao Jinhua, Cheng Xueqi, Assoc Comp Machinery. Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks. WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)null. 2019, 3335-3341, http://dx.doi.org/10.1145/3308558.3313430.
[41] Shen Huawei. Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation. IJCAI. 2018, [42] Yang, Dingda, Liao, Xiangwen, Shen, Huawei, Cheng, Xueqi, Chen, Guolong. Modeling the reemergence of information diffusion in social network. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS[J]. 2018, 490: 1493-1500, http://dx.doi.org/10.1016/j.physa.2017.08.115.
[43] Shen Huawei. ULE: Learning User and Location Embeddings for POI Recommendation. DSC. 2018, [44] Shen Huawei. Finding High-Quality Unstructured Submissions in General Crowdsourcing Tasks. LNCS. 2018, [45] Yang, Dingda, Liao, Xiangwen, Shen, Huawei, Cheng, Xueqi, Chen, Guolong. Dynamic node immunization for restraint of harmful information diffusion in social networks. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS[J]. 2018, 503: 640-649, http://dx.doi.org/10.1016/j.physa.2018.02.128.
[46] Sun, BingJie, Shen, Huawei, Gao, Jinhua, Ouyang, Wentao, Cheng, Xueqi, AAAI. Towards Efficient Detection of Overlapping Communities in Massive Networks. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2018, 418-425, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488900052.
[47] 高金华, 沈华伟, 程学旗, 刘悦. 基于相似消息的流行度预测方法. 中文信息学报[J]. 2018, 32(11): 79-85, http://lib.cqvip.com/Qikan/Article/Detail?id=6100179108.
[48] 李恒, 沈华伟, 黄蔚, 程学旗. 地理社会网络数据可视化分析研究综述. 中文信息学报[J]. 2018, 32(10): 11-18, http://lib.cqvip.com/Qikan/Article/Detail?id=676821849.
[49] Bao, Peng, Shen, HuaWei, Huang, Junming, Chen, Haiqiang. Mention effect in information diffusion on a micro-blogging network. PLOS ONE[J]. 2018, 13(3): http://dx.doi.org/10.1371/journal.pone.0194192.
[50] Gou, Chengcheng, Shen, Huawei, Du, Pan, Wu, Dayong, Liu, Yue, Cheng, Xueqi. Learning sequential features for cascade outbreak prediction. KNOWLEDGE AND INFORMATION SYSTEMS[J]. 2018, 57(3): 721-739, https://www.webofscience.com/wos/woscc/full-record/WOS:000443972500009.
[51] Yang, Dingda, Liao, Xiangwen, Shen, Huawei, Cheng, Xueqi, Chen, Guolong. Relative influence maximization in competitive social networks. SCIENCE CHINA-INFORMATION SCIENCESnull. 2017, 60(10): [52] Cheng Xueqi. Cascade dynamics modeling with attention-based recurrent neural network. Proc. the 26th International Joint Conference on Artificial Intelligence (IJCAI-17). 2017, [53] Liu, Yahui, Jin, Xiaolong, Shen, Huawei, Cheng, Xueqi, Kim, J, Shim, K, Cao, L, Lee, JG, Lin, X, Moon, YS. Do Rumors Diffuse Differently from Non-rumors? A Systematically Empirical Analysis in Sina Weibo for Rumor Identification. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2017, PT Inull. 2017, 10234: 407-420, [54] Wang, Yongqing, Liu, Shenghua, Shen, Huawei, Gao, Jinhua, Cheng, Xueqi, Kim, J, Shim, K, Cao, L, Lee, JG, Lin, X, Moon, YS. Marked Temporal Dynamics Modeling Based on Recurrent Neural Network. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2017, PT Inull. 2017, 10234: 786-798, [55] Cao, Qi, Shen, Huawei, Gao, Hao, Gao, Jinhua, Cheng, Xueqi, ASSOC COMP MACHINERY. Predicting the Popularity of Online Content with Group-specific Models. WWW'17 COMPANION: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEBnull. 2017, 765-766, [56] Lyu Shanshan, Ouyang Wentao, Shen Huawei, Cheng Xueqi, Assoc Comp Machinery. Truth Discovery by Claim and Source Embedding. CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENTnull. 2017, 2183-2186, http://dx.doi.org/10.1145/3132847.3133069.
[57] Cheng Xueqi. Learning concise representations of users' influences through online behaviors. Proceedings of the 26th International Joint Conference on Artificial Intelligence. 2017, [58] Cheng Xueqi. Cross-domain recommendation: an embedding and mapping approach. Proceedings of the 26th International Joint Conference on Artificial Intelligence. 2017, [59] 廖祥文, 郑候东, 刘盛华, 沈华伟, 程学旗, 陈国龙. 基于用户行为的情感影响力和易感性学习. 计算机学报[J]. 2017, 40(4): 955-969, http://lib.cqvip.com/Qikan/Article/Detail?id=671801234.
[60] 李恒, 沈华伟, 程学旗, 翟永. 网络高流量分布式拒绝服务攻击防御机制研究综述. 信息网络安全[J]. 2017, 37-43, http://lib.cqvip.com/Qikan/Article/Detail?id=7000214340.
[61] Sun, XiaoQian, Shen, HuaWei, Cheng, XueQi, Zhang, Yuqing. Detecting anomalous traders using multi-slice network analysis. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS[J]. 2017, 473: 1-9, http://dx.doi.org/10.1016/j.physa.2016.12.052.
[62] 满彤, 沈华伟, 黄俊铭, 程学旗. SCMF:一种融合多源数据的软约束矩阵分解推荐算法. 中文信息学报[J]. 2017, 31(4): 174-183, http://lib.cqvip.com/Qikan/Article/Detail?id=673329137.
[63] Sun BingJie, Shen Huawei, Gao Jinhua, Ouyang Wentao, Cheng Xueqi, Assoc Comp Machinery. A Non-negative Symmetric Encoder-Decoder Approach for Community Detection. CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENTnull. 2017, 597-606, http://dx.doi.org/10.1145/3132847.3132902.
[64] Cao Qi, Shen Huawei, Cen Keting, Ouyang Wentao, Cheng Xueqi, Assoc Comp Machinery. DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENTnull. 2017, 1149-1158, http://dx.doi.org/10.1145/3132847.3132973.
[65] Bai, Liang, Cheng, Xueqi, Liang, Jiye, Shen, Huawei, Guo, Yike. Fast density clustering strategies based on the k-means algorithm. PATTERN RECOGNITION[J]. 2017, 71: 375-386, http://dx.doi.org/10.1016/j.patcog.2017.06.023.
[66] Dingda Yang, Xiangwen Liao, Huawei Shen, Xueqi Cheng, Guolong Chen. Relative influence maximization in competitive social networks. Science China Information Sciences,null. 2017, 60(10): https://www.webofscience.com/wos/woscc/full-record/WOS:000415039700019.
[67] Guan Saiping, Jin Xiaolong, Jia Yantao, Wang Yuanzhuo, Shen Huawei, Cheng Xueqi, Wu XD, Ozsu T, Hendler J, Lu R. Self-learning and Embedding Based Entity Alignment. 2017 IEEE INTERNATIONAL CONFERENCE ON BIG KNOWLEDGE (IEEE ICBK 2017)null. 2017, 33-40, http://dx.doi.org/10.1109/ICBK.2017.15.
[68] XiaoQian Sun, HuaWei Shen, XueQi Cheng, Yuqing Zhang. Market Confidence Predicts Stock Price: Beyond Supply and Demand. PLOS ONE[J]. 2016, 11(7): http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201903250006364LS.
[69] 黄俊铭, 沈华伟, 程学旗. 利用社交网络的影响力骨架探索信息传播. 中文信息学报[J]. 2016, 30(2): 74-82, http://lib.cqvip.com/Qikan/Article/Detail?id=669163910.
[70] Shen Huawei. Modeling and predicting retweeting dynamics via a mixture process. Proc. of the 25th international conference on World Wide Web (WWW) (Companion Volume). 2016, [71] 刘玮, 贺敏, 王丽宏, 刘悦, 沈华伟, 程学旗. 基于用户行为特征的微博转发预测研究. 计算机学报[J]. 2016, 39(10): 1992-2006, http://lib.cqvip.com/Qikan/Article/Detail?id=670246939.
[72] 王永庆, 沈华伟, 程学旗. 预测信息传播中的转发选择. 中文信息学报[J]. 2016, 30(5): 57-64,79, http://lib.cqvip.com/Qikan/Article/Detail?id=670605413.
[73] 鲍鹏, 沈华伟, 程学旗. 信息传播中的用户转发选择预测*. 计算机科学与探索[J]. 2016, 10(11): 1524-1531, http://lib.cqvip.com/Qikan/Article/Detail?id=7000054842.
[74] Bai, Liang, Cheng, Xueqi, Liang, Jiye, Shen, Huawei. An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2016, 28(11): 2871-2883, https://www.webofscience.com/wos/woscc/full-record/WOS:000385702000004.
[75] Liu Wei, Shen Huawei, Ouyang Wentao, Fu Ge, Zha Li, Cheng Xueqi, Li Y, Xiang G, Lin H, Wang M. Learning Cost-Effective Social Embedding for Cascade Prediction. SOCIAL MEDIA PROCESSING, SMP 2016null. 2016, 669: 1-13, [76] Wang, Hao, Shen, HuaWei, Cheng, XueQi. Scientific credit diffusion: Researcher level or paper level?. SCIENTOMETRICS[J]. 2016, 109(2): 827-837, https://www.webofscience.com/wos/woscc/full-record/WOS:000386373000010.
[77] 李超, 周涛, 黄俊铭, 程学旗, 沈华伟. 基于用户相似性传递的跨平台交叉推荐算法. 中文信息学报[J]. 2016, 30(2): 90-98, http://lib.cqvip.com/Qikan/Article/Detail?id=669163912.
[78] 郭华东, 陈润生, 徐志伟, 孙建军, 毕军, 王力哲, 骆健俊, 沈华伟, 顾东晓, 梁栋, 沈文庆, 张旭, Hans Wolfgang Spiess, Thomas Lengauer. 自然科学与人文科学大数据——第六届中德前沿探索圆桌会议综述. 中国科学院院刊[J]. 2016, 31(6): 707-716, [79] Cheng Xueqi. Predict anchor links across social networks via an embedding approach. IJCAI. 2016, [80] Sun, XiaoQian, Shen, HuaWei, Cheng, XueQi, Zhang, Yuqing. Market Confidence Predicts Stock Price: Beyond Supply and Demand. PLOS ONE[J]. 2016, 11(7): http://www.corc.org.cn/handle/1471x/2374542.
[81] 王元卓, 于建业, 邱雯, 沈华伟, 程学旗, 林闯. 网络群体行为的演化博弈模型与分析方法. 计算机学报[J]. 2015, 38(2): 282-300, http://lib.cqvip.com/Qikan/Article/Detail?id=663830470.
[82] Sun BingJie, Shen HuaWei, Cheng XueQi, Thai MT, Nguyen NP, Shen H. Improve Network Clustering via Diversified Ranking. COMPUTATIONAL SOCIAL NETWORKS, CSONET 2015null. 2015, 9197: 104-115, [83] Shen Huawei. Context-adaptive matrix factorization for multi-context recommendation. CIKM. 2015, [84] Wang Yongqing, Shen Huawei, Liu Shenghua, Cheng Xueqi, AAAI. Learning User-Specific Latent Influence and Susceptibility from Information Cascades. PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2015, 477-483, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485625500066.
[85] Wang, Dashun, Song, Chaoming, Shen, HuaWei, Barabasi, AlbertLaszlo. Response to Comment on "Quantifying long-term scientific impact". SCIENCEnull. 2014, 345(6193): https://www.webofscience.com/wos/woscc/full-record/WOS:000339409900033.
[86] Huang, Junming, Li, Chao, Wang, WenQiang, Shen, HuaWei, Li, Guojie, Cheng, XueQi. Temporal scaling in information propagation. SCIENTIFIC REPORTS[J]. 2014, 4: https://www.webofscience.com/wos/woscc/full-record/WOS:000337343300009.
[87] Shen Huawei, Wang Dashun, Song Chaoming, Barabasi AlbertLaszlo, AAAI. Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes. PROCEEDINGS OF THE TWENTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2014, 291-297, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485439700041.
[88] 程学旗, 沈华伟. 《在线社会关系网络的挖掘与分析》专辑前言. 计算机学报. 2014, 37(4): I0001-I0002, http://lib.cqvip.com/Qikan/Article/Detail?id=49245607.
[89] 程苏琦, 沈华伟, 张国清, 程学旗. 符号网络研究综述. 软件学报[J]. 2014, 25(1): 1-15, http://lib.cqvip.com/Qikan/Article/Detail?id=48243638.
[90] Sun, XiaoQian, Shen, HuaWei, Cheng, XueQi. Trading Network Predicts Stock Price. SCIENTIFIC REPORTS[J]. 2014, 4: https://www.webofscience.com/wos/woscc/full-record/WOS:000329848100001.
[91] Shen, HuaWei, Barabasi, AlbertLaszlo. Collective credit allocation in science. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA[J]. 2014, 111(34): 12325-12330, http://dx.doi.org/10.1073/pnas.1401992111.
[92] Cheng Suqi, Shen Huawei, Huang Junming, Chen Wei, Cheng Xueqi, ACM. IMRank: Influence Maximization via Finding Self-Consistent Ranking. SIGIR'14: PROCEEDINGS OF THE 37TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVALnull. 2014, 475-484, http://dx.doi.org/10.1145/2600428.2609592.
[93] Sun, BingJie, Shen, HuaWei, Cheng, XueQi. Detecting overlapping communities in massive networks. EPL[J]. 2014, 108(6): http://dx.doi.org/10.1209/0295-5075/108/68001.
[94] 王莉, 程苏琦, 沈华伟, 程学旗. 在线社会网络共演化的结构推断与预测. 计算机研究与发展[J]. 2013, 50(12): 2492-2503, http://lib.cqvip.com/Qikan/Article/Detail?id=47942945.
[95] 吴琼, 刘悦, 沈华伟, 张瑾, 许洪波, 程学旗. 面向跨领域情感分类的统一框架. 计算机研究与发展[J]. 2013, 50(8): 1683-1689, http://lib.cqvip.com/Qikan/Article/Detail?id=46624703.
[96] Wang Li, Wang Jiang, Shen HuaWei, Cheng XueQi. An improvement of the fast uncovering community algorithm. CHINESE PHYSICS B[J]. 2013, 22(10): http://dx.doi.org/10.1088/1674-1056/22/10/108903.
[97] Shen Huawei. Popularity prediction in microblogging network: an cas study on Sina Weibo. WWW. 2013, [98] 郑志明. Phase transitions in supercritical explosive percolation. Physical Review E[J]. 2013, 87(5): 1-9, [99] 王莉, 王将, 沈华伟, 程学旗. An improvement of the fast uncovering community algorithm. 中国物理B:英文版. 2013, 646-653, http://lib.cqvip.com/Qikan/Article/Detail?id=47552464.
[100] XU Xueke CHENG Xueqi TAN Songbo LIU Yue SHEN Huawei. Aspect-Level Opinion Mining of Online Customer Reviews. 中国通信. 2013, 25-41, http://lib.cqvip.com/Qikan/Article/Detail?id=45298541.
[101] Bao, Peng, Shen, HuaWei, Chen, Wei, Cheng, XueQi. Cumulative Effect in Information Diffusion: Empirical Study on a Microblogging Network. PLOS ONE[J]. 2013, 8(10): http://dx.doi.org/10.1371/journal.pone.0076027.
[102] Xu Xueke, Cheng Xueqi, Tan Songbo, Liu Yue, Shen Huawei. Aspect-Level Opinion Mining of Online Customer Reviews. CHINA COMMUNICATIONSnull. 2013, 10(3): 25-41, http://lib.cqvip.com/Qikan/Article/Detail?id=45298541.
[103] XiaoQian Sun, HuaWei Shen, XueQi Cheng, ZhaoYang Wang. Degree-Strength Correlation Reveals Anomalous Trading Behavior. PLOS ONE[J]. 2012, 7(10): http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201903250011517LS.
[104] Shen Huawei. Exploring social influence via posterior effect of word-of-mouth recommendations. WSDM. 2012, [105] 沈华伟, 程学旗, 王元卓, 陈一昕. A Dimensionality Reduction Framework for Detection of Multiscale Structure in Heterogeneous Networks. 计算机科学技术学报:英文版. 2012, 27(2): 341-357, http://lib.cqvip.com/Qikan/Article/Detail?id=41090781.
[106] Ren, FuXin, Shen, HuaWei, Cheng, XueQi. Modeling the clustering in citation networks. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS[J]. 2012, 391(12): 3533-3539, http://dx.doi.org/10.1016/j.physa.2012.02.001.
[107] Shen, HuaWei, Cheng, XueQi, Wang, YuanZhuo, Chen, Yixin. A Dimensionality Reduction Framework for Detection of Multiscale Structure in Heterogeneous Networks. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY[J]. 2012, 27(2): 341-357, http://dx.doi.org/10.1007/s11390-012-1227-y.
[108] Ren, FuXin, Shen, HuaWei, Cheng, XueQi. Modeling the clustering in citation networks. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS[J]. 2012, 391(12): 3533-3539, http://dx.doi.org/10.1016/j.physa.2012.02.001.
[109] Man Tong, Shen HuaWei, Cheng XueQi, Liu J, Chen J, Xu G. The untold story behind the recommendation in micro-blogging network. SECOND INTERNATIONAL CONFERENCE ON CLOUD AND GREEN COMPUTING / SECOND INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING AND ITS APPLICATIONS (CGC/SCA 2012)null. 2012, 760-764, http://dx.doi.org/10.1109/CGC.2012.104.
[110] Yu Jianye, Wang Yuanzhuo, Li Jingyuan, Shen Huawei, Cheng Xueqi, Liu J, Chen J, Xu G. Analysis of competitive information dissemination in social network based on evolutionary game model. SECOND INTERNATIONAL CONFERENCE ON CLOUD AND GREEN COMPUTING / SECOND INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING AND ITS APPLICATIONS (CGC/SCA 2012)null. 2012, 748-753, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000318812400110.
[111] Sun, XiaoQian, Shen, HuaWei, Cheng, XueQi, Wang, ZhaoYang. Degree-Strength Correlation Reveals Anomalous Trading Behavior. PLOS ONE[J]. 2012, 7(10): https://doaj.org/article/5be76dd66fa142ddb3452a01a28bf743.
[112] Shen, HuaWei, Cheng, XueQi, Guo, JiaFeng. Exploring the structural regularities in networks. PHYSICAL REVIEW E[J]. 2011, 84(5): http://dx.doi.org/10.1103/PhysRevE.84.056111.
[113] 程学旗, 沈华伟. 复杂网络的社区结构. 复杂系统与复杂性科学[J]. 2011, 8(1): 57-70, http://lib.cqvip.com/Qikan/Article/Detail?id=37037129.
[114] Sun, XiaoQian, Cheng, XueQi, Shen, HuaWei, Wang, ZhaoYang. Distinguishing manipulated stocks via trading network analysis. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS[J]. 2011, 390(20): 3427-3434, http://dx.doi.org/10.1016/j.physa.2011.04.006.
[115] Shen Huawei. Multi-select faceted navigation based on minimum description length principle. IJCAI. 2011, [116] 沈华伟. 复杂网络的社区结构. 2010, [117] Shen Huawei. Zhaoyang Wang. Statistical properties of trading activity in Chinese stock market. Physics Procedia. 2010, [118] Shen Huawei. A structured approach to query recommendation with social annotation data. CIKM. 2010, [119] Cheng, XueQi, Shen, HuaWei. Uncovering the community structure associated with the diffusion dynamics on networks. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT[J]. 2010, http://dx.doi.org/10.1088/1742-5468/2010/04/P04024.
[120] Shen, HuaWei, Cheng, XueQi. Spectral methods for the detection of network community structure: a comparative analysis. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT[J]. 2010, http://dx.doi.org/10.1088/1742-5468/2010/10/P10020.
[121] Sun Xiaoqian, Cheng Xueqi, Shen Huawei, Wang Zhaoyang, Wang BH, Zhang YC, Zhou T, Zhou WX, Castellano C. Statistical properties of trading activity in Chinese Stock Market. INTERNATIONAL CONFERENCE ON COMPLEXITY AND INTERDISCIPLINARY SCIENCES: 3RD CHINA-EUROPE SUMMER SCHOOL ON COMPLEXITY SCIENCESnull. 2010, 3(5): 1699-1706, [122] Huang Junming, Cheng XueQi, Guo Jiafeng, Shen HuaWei, Yang Kun, Coelho H, Studer R, Wooldridge M. Social Recommendation with Interpersonal Influence. ECAI 2010 - 19TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2010, 215: 601-606, [123] Cheng, XueQi, Ren, FuXin, Shen, HuaWei, Zhang, ZiKe, Zhou, Tao. Bridgeness: a local index on edge significance in maintaining global connectivity. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT[J]. 2010, http://dx.doi.org/10.1088/1742-5468/2010/10/P10011.
[124] Shen, HuaWei, Cheng, XueQi, Fang, BinXing. Covariance, correlation matrix, and the multiscale community structure of networks. PHYSICAL REVIEW E[J]. 2010, 82(1): http://dx.doi.org/10.1103/PhysRevE.82.016114.
[125] Shen, Huawei, Cheng, Xueqi, Cai, Kai, Hu, MaoBin. Detect overlapping and hierarchical community structure in networks. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS[J]. 2009, 388(8): 1706-1712, http://www.corc.org.cn/handle/1471x/2401570.
[126] Shen, HuaWei, Cheng, XueQi, Guo, JiaFeng. Quantifying and identifying the overlapping community structure in networks. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT[J]. 2009, http://dx.doi.org/10.1088/1742-5468/2009/07/P07042.
[127] 沈华伟, 程学旗, 陈海强, 刘悦. 基于信息瓶颈的社区发现. 计算机学报[J]. 2008, 31(4): 677-686, http://lib.cqvip.com/Qikan/Article/Detail?id=26956507.
[128] 陈友, 沈华伟, 李洋, 程学旗. 一种高效的面向轻量级入侵检测系统的特征选择算法. 计算机学报[J]. 2007, 30(8): 1398-1408, http://lib.cqvip.com/Qikan/Article/Detail?id=25108317.
[129] Bao, Peng, Shen, Hua-Wei, Jin, Xiaolong, Cheng, Xue-Qi. Modeling and Predicting Popularity Dynamics of Microblogs using Self-Excited Hawkes Processes. http://arxiv.org/abs/1503.02754.
[130] Shen, Hua-Wei, Cheng, Xue-Qi, Fang, Bin-Xing. Covariance, correlation matrix and the multi-scale community structure of networks. http://arxiv.org/abs/1005.3622.
[131] Cheng, Suqi, Shen, Huawei, Huang, Junming, Zhang, Guoqing, Cheng, Xueqi. StaticGreedy: solving the scalability-accuracy dilemma in influence maximization. http://arxiv.org/abs/1212.4779.
发表著作
( 1 ) 复杂网络的社区结构, Community structure of complex networks, Springer , 2013-01, 第 1 作者
( 2 ) 链接, Linked, 浙江人民出版社, 2013-08, 第 1 作者
( 3 ) 可视化未来, Uncharted, 浙江人民出版社, 2015-09, 第 2 作者

科研活动

   
科研项目
( 1 ) 面向在线社会网络的异质关系多尺度社区分析研究, 主持, 国家级, 2013-01--2015-12
( 2 ) 在线社会关系网络的挖掘与分析, 参与, 国家级, 2013-01--2017-12
( 3 ) 大规模异质关系网络的多尺度社区分析研究, 主持, 省级, 2012-01--2014-12
( 4 ) 大规模交互数据中异常行为检测, 主持, 研究所(学校), 2012-07--2013-12
( 5 ) 在线社会关系网络中消息流行度的建模与预测研究, 主持, 国家级, 2015-01--2018-12
( 6 ) 大数据结构与关系的发现与简约计算方法, 参与, 国家级, 2015-01--2019-12
( 7 ) 社交网络的结构演化, 主持, 国家级, 2014-01--2016-12
( 8 ) 图数据分析算子, 主持, 国家级, 2014-09--2015-09
( 9 ) 中国科学院青年创新促进会优秀会员, 主持, 部委级, 2016-01--2018-12
( 10 ) 中国科学院青年创新促进会, 主持, 部委级, 2012-01--2015-12