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彭浩 Hao Peng

职  

讲师

学  

博士

电  

办 公 室

新主楼G507

系  

网络空间安全学院

职  

电子信箱

penghao@act.buaa.edu.cn;  penghao@buaa.edu.cn

传  

个人主页

u  学习经历

2015.09 2019.11 北京航空航天大学计算机软件与理论博士学位  

2015.09 2019.11 国家计算机网络应急技术处理协调中心联合培养博士生  

2018.11 2019.09 美国伊利诺伊大学芝加哥分校联合培养博士生  

u  研究领域

大数据分析与人工智能、社交数据分析与挖掘、时空数据分析与挖掘

u  荣誉及奖励

2018 年中国电子学会技术发明一等奖;

2017 年国家计算机网络应急技术处理协调中心优秀科研一等奖;

2017 年博士研究生国家奖学金;

2019 年北航优秀毕业生;

u  教学及科研成果

主要参与的科研项目包括:

[1] 网络信息空间大数据计算理论,国家973计划,项目号:2014CB340300

[2] 基于知识图谱的突发事件预警预测技术,国家自然科学基金面上项目,项目号:61772151

[3] 大规模网络中异常子图分析理论与算法研究,国家自然科学基金面上项目,项目号:61872022

 

在国际会议WWWSIGIRAAAIIJCAICIKM和国际期刊IEEE TKDEIEEE TPDSIEEE TITSInformation  ScienceSCIENCE  CHINA Information SciencesKBSFGCSNeurocomputing等发表论文三十余篇,主要包括:

 

国际会议论文:

[1] Hao Peng,  Jianxin Li, Senzhang Wang, Lifang He, etc. Motif-matching based  Subgraph-level Attentional Convolutional Network for Graph Classification.  AAAI2020.CCF A

[2] Yuwei Cao, Hao  Peng*, Philip S. Yu. Multi-Information Source HIN for Medical Concept  Embedding, PAKDD2020.

[3] Zhiwei Liu,  Yingtong Dou, Yutong Deng, Hao Peng*, Philip S. Yu. Alleviatingin the  Inconsistency Problem of Applying Graph Neural Network to Fraud Detection,  SIGIR2020.CCF A

[4] Jibing Gong,  Shen Wang, Jinlong Wang, Hao Peng*, Wenzheng Feng, Dan Wang, Yi Zhao,  Huanhuan Li, Jie Tang, Philip S. Yu. Attentional Graph Convolutional Networks  for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View,  SIGIR2020. CCF A

[5] Hao Peng,  Jianxin Li, Yangqiu Song, Philip S. Yu, etc. Fine-grained Event  Categorization with Heterogeneous Graph Convolutional Networks. IJCAI2019.CCF A

[6]. Qianren  Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Lihong Wang,  Min He, Aspect based Sentiment classification with Attentive Neural Turing  Machines, IJCAI2019. (CCF A)

[7] Yu He,  Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng:  HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous  Information Network Embedding, CIKM2019.( CCF B)

[8] Yaopeng Liu,  Hao Peng, Jie Guo, Tao He, Xiong Li, Yangqiu Song, Jianxin Li, Event  Detection and Evolution Based on Knowledge Base, WSDM workshop on KBCOM,  2018. (Best Paper Honorable Mention Award)

[9] Hao Peng,  Jianixn Li, Yangqiu Song, Qiang Yang, etc. Large-Scale Hierarchical Text  Classification with Recursively Regularized Deep Graph-CNN. WWW2018. CCF A

[10] Yu He,  Jianxin Li, Yangqiu Song, Mutian He, Hao Peng, Time-evolving Text  Classification with Deep Neural Networks, IJCAI2018. (CCF A)

[11] Hao Peng,  Jianxin Li, Yangqiu Song, Yaopeng Liu. Incrementally learning the  hierarchical softmax function for neural language models. AAAI2017.CCF A

 

国际期刊论文:

[1] Hao Peng,  Jianxin Li, Senzhang Wang, Philip S. Yu, Lifang He, etc. Hierarchical  Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale  Multi-Label Text Classification. IEEE TKDE 2020. (CCF A)

[2] Hao Peng,  Bowen Du, Lihong Wang, Jianwei Liu Senzhang Wang, Philip S. Yu, etc. Spatial  Temporal Incidence Dynamic Graph Neural Networks for Traffic Flow  Forecasting, Information Sciences, 2020.CCF B, IF: 5.524, JCR Q1

[3] Yali Gao,  Xiaoyong Li, Hao Peng, Binxing Fang, Philip S. Yu. HinCTI: A Cyber  Threat Intelligence Modeling and Identification System Based on Heterogeneous  Information Network.. IEEE TKDE 2020. (CCF A)

[4] Chen Li,  Xutan Peng, Shanghang  Zhang, Hao Peng, Philip S. Yu, Min He,  Linfeng Du, Lihong Wang. Modeling Relation Paths for Knowledge Base  Completion via Joint Adversarial Training. KBS, 2020. (IF: 5.101, JCR Q1)

[5] Zhilong Lu,  Weifeng Lv, Yabin Cao, Zhipu Xie, Hao Peng, Bowen Du. LSTM Variants  Meet Graph Neural Networks for Road Speed Prediction. Neurocomputing, 2020.  (IF: 4.072, JCR Q1)

[6] Renyu Yang,  Chunming Hu, Tianyu Wo, Zhenyu Wen, Hao Peng, Jie Xu.  Performance-aware Speculative Resource Oversubscription for Large-scale  Clusters. IEEE TPDS, 2020. (CCF A)

[7] Hao Peng*,  Bowen Du*, Senzhang Wang*, Md Zakirul Alam Bhuiyan, etc. Deep Irregular  Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction,  IEEE TITS, 2019. (CCF B, IF: 5.744, JCR Q1)

[8] Hao Peng,  Jianxin Li, Senzhang Wang, Hao Yan, Lihong Wang, Xiang Ren. Dynamic Network  Embedding via Incremental Skip-gram with Negative Sampling, SCIENCE CHINA  Information Sciences, 2019. (CCF B, IF: 2.731, JCR Q2)

[9] Xing Xu,  JianzhongWang, Hao Peng, Ruilin Wu, Prediction of academic performance  associated with Internet usage behaviors using machine learning algorithms.  Computers in Human Behavior, 2019. (IF: 4.306, JCR Q1)

[10] Yaopeng  Liu, Hao Peng, Jianxin Li, Yangqiu Song, Xiong Li, Event Detection and  Evolution in Multi-lingual Social Streams. Frontiers of Computer Science,  2019. (IF: 1,129, JCR Q3)

[11] Bin Zheng,  Ouyang Liu, Jing Li, Yong Lin, Bo Li, Tefeng Chen, Hao Peng. Towards a  Distributed Local-search Approach for Partitioning Large-scale Social  Networks, Information Sciences, 2019.CCF B, IF: 5.524, JCR Q1

[12] Hao  Peng*, Mengjiao Bao*, Jianxin Li, Md Zakirul Alam Bhuiyan, Yaopeng Liu, Yu  He, Eric Yang. Incremental term representation learning for social network  analysis, Future Generation Computer Systems, 2018. (IF: 5.768, JCR Q1)  

[13] Jianxin Li,  Hao Peng, Eric Yang, Chunming Hu, Shenghai Zhong, Lihong Wang. Eagle+:  A fast incremental approach to automaton and table online updates for cloud  services, Future Generation Computer Systems, 2018. (IF: 5.768, JCR Q1)

[14] Hao Peng,  Jianxin Li, Bo Li, Muhammad Hassan Arif. Fast multi-pattern matching  algorithm on compressed network traffic. China Communications, 2016. (IF:  1.882, JCR Q3)

u  学术与社会服务

国际学术会议程序委员会成员、学术期刊副主编、审稿人:AAAI20202019, KDD202020192018, IJCAI202020192018, CIKM20192018, DASFAA2020201920182017, IEEE TKDE,  IEEE Internet of Things Journal (IEEE IoT), IEEE Transactions on Intelligent  Transportation Systems (ITS), ACM Computing Surveys, ACM Transactions on  Intelligent Systems and Technology (ACM TIST), Journal of Network and  Computer Applications, Computers & Security; 国际学术期刊Data Science and  Pattern Recognition副主编。