Pengfei Jiao 焦鹏飞

焦鹏飞，2018年从天津大学计算机科学与技术学院获得计算机应用技术专业的博士学位，目前就职于天津大学生物安全战略研究中心。其主要研究方向包括数据网络分析和数据挖掘，具体研究内容包括动态网络社团检测和演化分析、异质网络的表示学习、社团检测和链接预测、链接预测、推荐系统、统计网络模型学习与应用、网络动力学，及其在生物安全中的应用等。博士论文获得天津大学2017年优秀博士论文基金项目支持，目前已发表50余篇国际期刊和会议论文，参与了多项国家项目，并获批自然基金委2020年国家青年基金。

Education

2018.09 – now	天津大学 生物安全战略研究中心，讲师 ——计算机应用技术方向
2018.06	天津大学 计算机科学与技术学院，计算机应用与技术，工学博士学位
2012.06	海南大学 信息科学与技术学院，信息与计算科学方向，理学学士学位

Academic Activities

• -- PCreview of AAAI2019,2020,2021
• -- IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions  on Fuzzy Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Computational Social Systems, IEEE Transactions on Systems, Man and Cybernetics: Systems, Information Fusion, Complexity, Knowledge-Based Systems, Neurocomputing , Pattern Recognition Letters, Applied Intelligence, Complexity, Physica A, Artificial Intelligence Review , IEEE access, Mobile Information Systems多个国际期刊的审稿人

2020 and beyond:

• Hongtao Liu, Wenjun Wang, Huitong Chen, Wang Zhang, Qiyao Peng, Lin Pan, Pengfei Jiao: Hierarchical Multi-view Attention for Neural Review-Based Recommendation. In CCF International Conference on Natural Language Processing and Chinese Computing, pp. 267-278. Springer, Cham, 2020.
• Hongyan Xu, Wenjun Wang, Hongtao Liu, Mengxuan Zhang, Qiang Tian, Pengfei Jiao: Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks. InInternational Conference on Neural Information Processing 2020 Nov 18 (pp. 499-511). Springer, Cham.
• Huaming Wu, Katinka Wolter, Pengfei Jiao, Yingjun Deng, Yubin Zhao, Minxian Xu: EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing. IEEE Internet of Things Journal. 2020 Oct 26.
• Pengfei Jiao, Minghu Tang, Hongtao Liu, Yaping Wang, Chunyu Lu, Huaming Wu*: Variational autoencoder based bipartite network embedding by integrating local and global structure. Information Sciences, 2020, 519, 9-21.
• Tianpeng Li, Wenjun Wang, Xunxun Wu, Huaming Wu, Pengfei Jiao*, Yandong Yu*: Exploring the transition behavior of nodes in temporal networks based on dynamic community detection. Future Generation Computer Systems, 2020, 107, 458-468.
• Di Jin, Bingyi Li, Pengfei Jiao*, Dongxiao He, Hongyu Shan, Weixiong Zhang: Modeling with Node Popularities for Autonomous Overlapping Community Detection. ACM Transactions on Intelligent Systems and Technology (TIST), 2020, 11(3), 1-23.
• Hongtao Liu, Yian Wang, Qiyao Peng, Fangzhao Wu, Lin Gan, Lin Pan, Pengfei Jiao*: Hybrid neural recommendation with joint deep representation learning of ratings and reviews. Neurocomputing, 2020, 374: 77-85. 
• Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao*: Neural Unified Review Recommendation with Cross Attention. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval 2020 Jul 25 (pp. 1789-1792).
• Xuan Guo, Wang Zhang, Wenjun Wang, Yang Yu, Yinghui Wang, Pengfei Jiao*: Role-Oriented Graph Auto-encoder Guided by Structural Information. In International Conference on Database Systems for Advanced Applications, pp. 466-481. Springer, Cham, 2020.
• Di Jin, Kunzeng Wang, Ge Zhang, Pengfei Jiao, Dongxiao He, Francoise Fogelman-Soulie, Xin Huang*: Detecting Communities with Multiplex Semantics by Distinguishing Background, General and Specialized Topics. IEEE Transactions on Knowledge and Data Engineering, 2020. 
• Qiyao Peng, Hongtao Liu, Yang Yu, Hongyan Xu, Weidi Dai*, Pengfei Jiao: Mutual Self Attention Recommendation with Gated Fusion Between Ratings and Reviews. In International Conference on Database Systems for Advanced Applications (pp. 540-556). Springer, Cham.
• Qiang Tian, Wenjun Wang, Yingjie Xie, Huaming Wu, Pengfei Jiao, Lin Pan*: A Unified Bayesian Model for Generalized Community Detection in Attribute Networks. Complexity 2020.
• Qi Wu, Weilong Chen, Wei Bao, Jipeng Li, Peikai Pan, Qiyao Peng, Pengfei Jiao*: Tree-Based Model with Advanced Data Preprocessing for Large Scale Hard Disk Failure Prediction. In AI Ops Competition, pp. 85-99. Springer, Singapore, 2020.

2018-2019:

• Di Jin, Bingyi Li, Pengfei Jiao*, Dongxiao He, Weixiong Zhang: Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks. IJCAI 2019
• Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang*, Dongxiao He, Françoise Fogelman-Soulié, Yuxiao Huang: A Novel Generative Topic Embedding Model by Introducing Network Communities. WWW 2019: 2886-2892
• Wei Yu, Wenjun Wang, Pengfei Jiao*, Xuewei Li: Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks. Knowl.-Based Syst. 167: 1-10 (2019)
• Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao*, Chuhan Wu, Xing Xie: NRPA: Neural Recommendation with Personalized Attention. SIGIR 2019: 1233-1236
• Yaping Wang, Pengfei Jiao*, Wenjun Wang, Chunyu Lu, Hongtao Liu, Bo Wang: Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations. DASFAA (1) 2019: 435-451
• Xunxun Wu, Pengfei Jiao*, Yaping Wang, Tianpeng Li, Wenjun Wang, Bo Wang: Dynamic Stochastic Block Model with Scale-Free Characteristic for Temporal Complex Networks. DASFAA (2) 2019: 502-518
• Wei Yu, Wenjun Wang, Pengfei Jiao, Huaming Wu, Yueheng Sun*, Minghu Tang: Modeling the Local and Global Evolution Pattern of Community Structures for Dynamic Networks Analysis. IEEE Access 7: 71350-71360 (2019)
• Hongyao Ke, Yinghui Wang, Xuan Guo, Lin Pan*, Pengfei Jiao, Wenjun Wang, Xiaoping Yang: Deep Mutual Encode Model for Network Embedding From Structural Identity," in IEEE Access, vol. 7, pp. 177484-177496, 2019.
• Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang*, Xing Xie, Yueheng Sun: REET: Joint Relation Extraction and Entity Typing via Multi-task Learning. NLPCC (1) 2019: 327-339
• Hongtao Liu, Yian Wang, Fangzhao Wu, Pengfei Jiao*, Hongyan Xu, Xing Xie: REKER: Relation Extraction with Knowledge of Entity and Relation. NLPCC (2) 2019: 90-102
• Yuheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao*: Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification. ICANN (4) 2019: 143-155
• Di Jin, Bingyi Li, Pengfei Jiao*, Dongxiao He, Hongyu Shan: Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network. ICANN 2019: 594-606 
• Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao*: NRSA: Neural Recommendation with Summary-Aware Attention. KSEM (1) 2019:
• Chunyu Lu, Pengfei Jiao*, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang: SSNE: Status Signed Network Embedding. PAKDD (3) 2019: 81-93
• Xue Chen, Pengfei Jiao*, Yandong Yu, Xiaoming, Li, Minghu Tang: Toward link predictability of bipartite networks based on structural enhancement and structural perturbation[J]. Physica A: Statistical Mechanics and its Applications, 2019, 527:
• Wei Yu, Pengfei Jiao*, Wenjun Wang, Yang yu, Xue Chen, Lin Pan: A novel evolutionary clustering via the first-order varying information for dynamic networks[J]. Physica A: Statistical Mechanics and its Applications, 2019, 520: 507-520.
• Weiyi Yao, Pengfei Jiao, Wenjun Wang, Yueheng Sun*: Understanding human reposting patterns on Sina Weibo from a global perspective[J]. Physica A: Statistical Mechanics and its Applications, 2019, 518: 374-383.
• Di Jin, Zhigang Li, Liang Yang*, Dongxiao He, Pengfei Jiao, Lu Zhai: Adversarial Capsule Learning for Network Embedding. ICTAI 2019, 214-221.
• Pengfei Jiao, Wenjun Wang*, Di Jin: Constrained common cluster based model for community detection in temporal and multiplex networks. Neurocomputing 275: 768-780 (2018)
• Pengfei Jiao, Wei Yu, Wenjun Wang, Xiaoming Li, Yueheng Sun*: Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks. Neurocomputing 314: 224-233 (2018)
• Ge Zhang, Di Jin*, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang: Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics. IJCAI 2018: 3648-3654
• Xue Chen, Wenjun Wang, Wei Yu, Pengfei Jiao, Yueheng Sun*: Highlighting Link Prediction in Bipartite Networks via Structural Perturbation. IEEE Access 6: 73583-73592 (2018)
• Wenjun Wang, Xiao Liu, Pengfei Jiao, Xue Chen, Di Jin*: A Unified Weakly Supervised Framework for Community Detection and Semantic Matching. PAKDD (3) 2018: 218-230
• Hongyan Xu, Hongtao Liu, Wenjun Wang, Yueheng Sun*, Pengfei Jiao: NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content. PAKDD (2) 2018: 26
• Wenjun Wang, Minghu Tang*, Pengfei Jiao: A unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information[J]. PloS one, 2018, 13(11): e0208185.
• Xue Chen, Wenjun Wang, Yueheng Sun*, Bin Hu, Pengfei Jiao: Integrating Latent Feature Model and Kernel Function for Link Prediction in Bipartite Networks. International Conference on Computer Engineering and Networks. Springer, Cham, 2018: 126-134.

Early 2017:

• Xiao Liu, Wenjun Wang, Dongxiao He, Pengfei Jiao, Di Jin*, Carlo Vittorio Cannistraci: Semi-supervised community detection based on non-negative matrix factorization with node popularity. Inf. Sci. 381: 304-321 (2017)
• Wenjun Wang, Yiding Feng, Pengfei Jiao*, Wei Yu: Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction. Knowl.-Based Syst. 137: 104-114 (2017)
• Pengfei Jiao, Fei Cai, Yiding Feng, Wenjun Wang*: Link predication based on matrix factorization by fusion of multi class organizations of the network[J]. Scientific reports, 2017, 7(1): 8937.
• Pengfei Jiao*, Haodong Lyu, Xiao-ming Li, Wei Yu. Wenjun Wang:Temporal community detection based on symmetric nonnegative matrix factorization[J]. International Journal of Modern Physics B, 2017, 31(13): 1750102.
• Wenjun Wang, Xue Chen, Pengfei Jiao*, Di Jin: Similarity-based regularized latent feature model for link prediction in bipartite networks[J]. Scientific reports, 2017, 7(1): 16996.
• Wenjun Wang, Xiao-ming Li, Pengfei Jiao, Guangquan Xu*, Ning Yuan, Wei Yu: Exploring Intracity Taxi Mobility during the Holidays for Location-Based Marketing. Mobile Information Systems 2017: 6310827:1-6310827:10 (2017)
• Limengzi Yuan, Wenjun Wang, Pengfei Jiao, Di Jin*, Wenxin Wei: Tracking and Detecting Dynamic Communities with Node Popularity Preservation. ICTAI 2017: 566-573
• Xin Liu, Pengfei Jiao*, Ning Yuan, Wenjun Wang: Identification of multi-attribute functional urban areas under a perspective of community detection: A case study[J]. Physica A: Statistical Mechanics and its Applications, 2016, 462: 827-836.
• Wenjun Wang (advisor), Pengfei Jiao, Dongxiao He*, Di Jin, Lin Pan, Bogdan Gabrys: Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach. Knowl.-Based Syst. 110: 121-134 (2016)
• Wenjun Wang, Fei Cai, Pengfei Jiao*, LIn Pan: A perturbation-based framework for link prediction via non-negative matrix factorization[J]. Scientific reports, 2016, 6: 38938.
• Xuanmei Qin, Weidi Dai, Pengfei Jiao*, Wenjun Wang, Ning Yuan: A multi-similarity spectral clustering method for community detection in dynamic networks[J]. Scientific reports, 2016, 6: 31454.
• Tingting Wang, Weidi Dai, Pengfei Jiao*, Wenjun Wang: Identifying influential nodes in dynamic social networks based on degree-corrected stochastic block model[J]. International Journal of Modern Physics B, 2016, 30(16): 1650092.
• Jian Li, Wenjun Wang, Pengfei Jiao*, Haodong Lyu: Comparative Statistical Analysis of Large-Scale Calling and SMS Network. ICSI (2) 2016: 349-357