Publications

Pengfei Jiao, Hongqian Chen, Wang Zhang, Huaming Wu (2024). Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning. AAAI2024.

Huan Liu, Pengfei Jiao*, Xuan Guo, Huaming Wu, Mengzhou Gao, Jilin Zhang (2024). HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs. IEEE Transactions on Big Data.

Xuan Guo, Pengfei Jiao, Wang Zhang, Ting Pan, Mengyu Jia, Danyang Shi, Wenjun Wang (2024). Representation Learning on Heterostructures via Heterogeneous Anonymous Walks. IEEE Transactions on Neural Networks and Learning Systems.

Meiting Xue, Zian Zhou, Pengfei Jiao*, Huijun Tang (2024). Fine-tuned Personality Federated Learning for Graph Data. IEEE Transactions on Big Data.

Pengfei Jiao, Tianpeng Li, Yingjie Xie, Yinghui Wang, Wenjun Wang, Dongxiao He, Huaming Wu (2023). Generative Evolutionary Anomaly Detection in Dynamic Networks. IEEE Transactions on Knowledge and Data Engineering.

Zhihao Chen, Pengfei Jiao, Yinghui Wang, Huijun Tang, Jilin Zhang (2023). Enhancing Network Alignment through Multi-Scale Information Fusion. 2023 IEEE International Conference on Knowledge Graph (ICKG).

Shuai Wang, Tengjin Weng, Jingyi Wang, Yang Shen, Zhidong Zhao, Yixiu Liu, Pengfei Jiao, Zhiming Cheng, Yaqi Wang (2023). MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries. arXiv.

Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He, Wenjun Wang (2023). HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level. IEEE Transactions on Neural Networks and Learning Systems.

Tianpeng Li, Wenjun Wang, Pengfei Jiao, Yinghui Wang, Ruomeng Ding, Huaming Wu, Lin Pan, Di Jin (2023). Exploring Temporal Community Structure via Network Embedding. IEEE Transactions on Cybernetics.

Di Jin, Zhizhi Yu, Pengfei Jiao*, Shirui Pan, Dongxiao He*, Jia Wu, Philip S. Yu, Weixiong Zhang (2023). A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. IEEE Transactions on Knowledge and Data Engineering.

焦鹏飞, 潘婷, 金弟, 王文俊, 何东晓, 高梦州, 赵治栋 (2023). 角色导向的网络表示学习综述. 计算机学报.

焦鹏飞, 刘欢, 吕乐, 高梦州, 张纪林, 刘栋 (2023). 基于对比学习的全局增强动态异质图神经网络. 计算机研究与发展.

焦鹏飞, 刘欢, 吕乐, 高梦州, 张纪林, 刘栋 (2023). 基于对比学习的全局增强动态异质图神经网络. 计算机研究与发展.

Hongjiang Chen, Pengfei Jiao, Huijun Tang, Huaming Wu (2023). Temporal Graph Representation Learning with Adaptive Augmentation Contrastive. Machine Learning and Knowledge Discovery in Databases: Research Track.

Pengfei Jiao, Qiang Tian, Wang Zhang, Xuan Guo, Di Jin, Huaming Wu (2023). Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism. IEEE Transactions on Cybernetics.

Xuan Guo, Pengfei Jiao, Wang Zhang, Ting Pan, Mengyu Jia, Danyang Shi, Wenjun Wang (2023). Representation Learning on Heterostructures via Heterogeneous Anonymous Walks. IEEE Transactions on Neural Networks and Learning Systems.

Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang (2022). Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism. IEEE Transactions on Neural Networks and Learning Systems.

Ting Pan, Wenjun Wang, Minglai Shao, Yueheng Sun, Pengfei Jiao (2022). Role-Oriented Dynamic Network Embedding. 2022 IEEE International Conference on Big Data (Big Data).

Junqi Chen, Huaming Wu, Ruidong Li, Pengfei Jiao (2022). Green Parallel Online Offloading for DSCI-Type Tasks in IoT-Edge Systems. IEEE Transactions on Industrial Informatics.

Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei, Lin Pan (2022). A Survey on Role-Oriented Network Embedding. IEEE Transactions on Big Data.

Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao*, Zhiyong Feng* (2022). Block Modeling-Guided Graph Convolutional Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence.

Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang (2022). Towards a Multi-View Attentive Matching for Personalized Expert Finding. Proceedings of the ACM Web Conference 2022.

Min Xue, Huaming Wu, Ruidong Li, Minxian Xu, Pengfei Jiao (2022). EosDNN: An Efficient Offloading Scheme for DNN Inference Acceleration in Local-Edge-Cloud Collaborative Environments. IEEE Transactions on Green Communications and Networking.

Mengzhou Gao, Pengfei Jiao, Ruili Lu, Huaming Wu, Yinghui Wang, Zhidong Zhao (2022). Inductive Link Prediction via Interactive Learning Across Relations in Multiplex Networks. IEEE Transactions on Computational Social Systems.

Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang, Huaming Wu (2021). An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding. 2021 IEEE International Conference on Data Mining (ICDM).

Guanjin Qu, Huaming Wu, Ruidong Li, Pengfei Jiao (2021). DMRO: A Deep Meta Reinforcement Learning-Based Task Offloading Framework for Edge-Cloud Computing. IEEE Transactions on Network and Service Management.

Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao*, Yuxiao Huang (2021). Self-Guided Community Detection on Networks with Missing Edges. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence.

Xuan Guo, Tian Qiang, Wang Zhang, Wenjun Wang, Pengfei Jiao* (2021). Learning Stochastic Equivalence based on Discrete Ricci Curvature.

Hongyan Xu, Hongtao Liu, Pengfei Jiao, Wenjun Wang (2021). Transformer Reasoning Network for Personalized Review Summarization. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.

Xunxun Wu, Chang-Dong Wang, Pengfei Jiao (2021). Hybrid-order Stochastic Block Model. Proceedings of the AAAI Conference on Artificial Intelligence.

Di Jin, Kunzeng Wang, Ge Zhang, Pengfei Jiao, Dongxiao He, Francoise Fogelman-Soulié, Xin Huang (2020). Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics. IEEE Transactions on Knowledge and Data Engineering.

Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan, Weixiong Zhang (2020). Modeling with Node Popularities for Autonomous Overlapping Community Detection. ACM Transactions on Intelligent Systems and Technology.

Pengfei Jiao, Minghu Tang, Hongtao Liu, Yaping Wang, Chunyu Lu, Huaming Wu (2020). Variational autoencoder based bipartite network embedding by integrating local and global structure. Information Sciences.

Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie (2019). NRPA: Neural Recommendation with Personalized Attention. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval.