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] 毕文东, 徐冰冰, 孙晓茜, 徐力, 沈华伟, 程学旗. Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. WWWnull. 2023, [2] Shao, Jiangli, Wang, Yongqing, Gao, Hao, Shi, Boshen, Shen, Huawei, Cheng, Xueqi. AsyLink: user identity linkage from text to geo-location via sparse labeled data. NEUROCOMPUTING[J]. 2023, 515: 174-184, http://dx.doi.org/10.1016/j.neucom.2022.10.027.
[3] Liu, Shenghua, Zhou, Bin, Ding, Quan, Hooi, Bryan, Zhang, Zhengbo, Shen, Huawei, Cheng, Xueqi. Time Series Anomaly Detection With Adversarial Reconstruction Networks. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2023, 35(4): 4293-4306, http://dx.doi.org/10.1109/TKDE.2021.3140058.
[4] Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng. Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data. INFORMATION PROCESSING AND MANAGEMENT. 2023, 60(4): http://dx.doi.org/10.1016/j.ipm.2023.103361.
[5] Yang Jiang, Jinhua Gao, Huawei Shen. Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data. Information Processing & Management[J]. 2023, 60(4): 103361-, [6] 周厚铨, 刘盛华, Danai Koutr, 沈华伟, 程学旗. A provable framework of learning graph embeddings via summarization. AAAI-23null. 2023, [7] 江旭晖, 沈英汉, 李子健, 王元卓, 尹芷仪, 沈华伟. 社交知识图谱研究综述. 计算机学报[J]. 2023, 46(2): 304-330, http://lib.cqvip.com/Qikan/Article/Detail?id=7108893813.
[8] Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Keting Cen, Xueqi Cheng. Location-aware convolutional neural networks for graph classification. NEURAL NETWORKS[J]. 2022, 155: 74-83, http://dx.doi.org/10.1016/j.neunet.2022.07.035.
[9] Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng. Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. Proceedings of the 31st ACM Int’l Conference on Information and Knowledge Management (CIKM ’22)null. 2022, http://arxiv.org/abs/2204.02725.
[10] 毕文东, 徐冰冰, 孙晓茜, 汪子栋, 沈华伟, 程学旗. Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. ACM SIGKDDnull. 2022, [11] Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng. Towards Powerful Graph Contrastive Learning without Negative Examples. Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN'22)null. 2022, [12] 程学旗, 徐冰冰, 曹婍, 刘盛华, 陈娟, 林磊, 沈华伟. 开放环境下的群智决策:概念、挑战及引领性技术. 智能科学与技术学报[J]. 2022, 4(1): 45-54, http://lib.cqvip.com/Qikan/Article/Detail?id=7106845164.
[13] 王兆慧, 沈华伟, 曹婍, 程学旗. 图分类研究综述. 软件学报[J]. 2022, 33(1): 171-192, http://lib.cqvip.com/Qikan/Article/Detail?id=7106515294.
[14] 解伟凡, 郭岩, 匡广生, 余智华, 薛源海, 沈华伟. 基于演化模式的推特话题流行度预测方法. 计算机应用[J]. 2022, 42(11): 3364-3370, http://lib.cqvip.com/Qikan/Article/Detail?id=7108394287.
[15] Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng. Conditional GANs with Auxiliary Discriminative Classifier. Proceedings of the 39th International Conference on Machine Learning (ICML'22)null. 2022, http://arxiv.org/abs/2107.10060.
[16] Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng. INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'22)null. 2022, [17] Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng. Few-Shot Stance Detection via Target-Aware Prompt Distillation. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'22)null. 2022, [18] Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng. PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction. Companion Proceedings of the Web Conference 2022 (WWW’22 Companion)null. 2022, [19] Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng. ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect. Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (WSDM'22)null. 2022, [20] 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, http://dx.doi.org/10.1007/s10115-021-01556-6.
[21] 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.
[22] Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng. Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2021, PT II[J]. 2021, 12713: 743-755, [23] Huang, Junjie, Shen, Huawei, Hou, Liang, Cheng, Xueqi. SDGNN: Learning Node Representation for Signed Directed Networks. 2021, http://arxiv.org/abs/2101.02390.
[24] Shen Huawei. Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field. AAAI. 2021, [25] Feng, Wenjie, Liu, Shenghua, Koutra, Danai, Shen, Huawei, Cheng, Xueqi. SPECGREEDY: Unified Dense Subgraph Detection. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2020, PT I[J]. 2021, 12457: 181-197, [26] 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.
[27] 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[J]. 2021, 58(9): 2013-2024, http://lib.cqvip.com/Qikan/Article/Detail?id=7105507972.
[28] 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[J]. 2021, 35(1): 9-16, http://lib.cqvip.com/Qikan/Article/Detail?id=7104091817.
[29] 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.
[30] 刘元浩, 曹婍, 沈华伟, 黄俊杰, 程学旗. 基于自增强泊松过程的COVID-19疫情预测. 中国传媒大学学报:自然科学版[J]. 2021, 28(6): 1-8, http://lib.cqvip.com/Qikan/Article/Detail?id=7106576698.
[31] 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[J]. 2021, 35(2): 1-18+32, http://lib.cqvip.com/Qikan/Article/Detail?id=7104315065.
[32] Tao, Shuchang, Shen, Huawei, Cao, Qi, Hou, Liang, Cheng, Xueqi. Adversarial Immunization for Certifiable Robustness on Graphs. 2021, http://arxiv.org/abs/2007.09647.
[33] 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, [34] Hou, Liang, Yuan, Zehuan, Huang, Lei, Shen, Huawei, Cheng, Xueqi, Wang, Changhu. Slimmable Generative Adversarial Networks. 2021, http://arxiv.org/abs/2012.05660.
[35] 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.
[36] 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.
[37] 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.
[38] 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, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=JSJX202005001&v=MTc3MzkxRnJDVVI3cWVadWR1RnlybFZMdktMejdCZHJHNEhOSE1xbzlGWllSOGVYMUx1eFlTN0RoMVQzcVRyV00=.
[39] 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.
[40] 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.
[41] 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, [42] 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, [43] Shen Huawei. Dual Rejection Sampling for Wasserstein Auto-Encoders. ECAI. 2020, [44] Shen Huawei. Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. SIGIR. 2020, [45] 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, [46] Liu, Yahui, Jin, Xiaolong, Shen, Huawei. Towards early identification of online rumors based on long short-term memory networks. INFORMATIONPROCESSINGMANAGEMENT[J]. 2019, 56(4): 1457-1467, http://dx.doi.org/10.1016/j.ipm.2018.11.003.
[47] 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.
[48] 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.
[49] 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, [50] 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.
[51] 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.
[52] 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.
[53] 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.
[54] 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. WEBCONFERENCE2019PROCEEDINGSOFTHEWORLDWIDEWEBCONFERENCEWWW2019null. 2019, 1198-1209, http://dx.doi.org/10.1145/3308558.3313510.
[55] Shen Huawei. Unified Collaborative Filtering over Graph Embeddings with Attentive Model Selection. SIGIR. 2019, [56] 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.
[57] 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.
[58] Shi, FaBin, Sun, XiaoQian, Gao, JinHua, Xu, Li, Shen, HuaWei, Cheng, XueQi. Anomaly detection in Bitcoin market via price return analysis. PLOS ONE[J]. 2019, 14(6): http://dx.doi.org/10.1371/journal.pone.0218341.
[59] 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, [60] 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.
[61] Shen Huawei. Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation. IJCAI. 2018, [62] 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.
[63] Shen Huawei. ULE: Learning User and Location Embeddings for POI Recommendation. DSC. 2018, [64] Shen Huawei. Finding High-Quality Unstructured Submissions in General Crowdsourcing Tasks. LNCS. 2018, [65] 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.
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[147] 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.
[148] 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.
[149] 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.
[150] Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Keting Cen, Xueqi Cheng. Location-aware convolutional neural networks for graph classification. NEURAL NETWORKS. http://dx.doi.org/10.1016/j.neunet.2022.07.035.
[151] 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.
[152] Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng. Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data. INFORMATION PROCESSING AND MANAGEMENT. http://dx.doi.org/10.1016/j.ipm.2023.103361.
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