I’m a Post-doctoral fellow at the School of Computer Science, Institute of Science Tokyo (formerly Tokyo Tech), advised by Prof. Yang Cao. Previously, I received my PhD degree from Beijing Institute of Technology in 2024, advised by Prof. Zhiwei Zhang, Ye Yuan and Guoren Wang.
My research interest includes Personalized Federated Learning, Graph Analysis and LLMs. I am looking for any form of academic cooperation. If you are interested in collaborating with me, please feel free to email me.
Publications
Breaking Free from Label Limitations: A Novel Unsupervised Attack Method for Graph Classification
Yadong Wang, Zhiwei Zhang, Pengpeng Qiao, Ye Yuan, Hao Zhang, Guoren Wang
- International Conference on Database Systems for Advanced Applications (DASFAA), 2025, CCF-B
Feed: Towards Personalization-Effective Federated Learning
Pengpeng Qiao, Kangfei Zhao, Bei Bi, Zhiwei Zhang, Ye Yuan, Guoren Wang
- International Conference on Data Engineering (ICDE), 2024, CCF-A
AStore: Uniformed Adaptive Learned Index and Cache for RDMA-enabled Key-Value Store
Pengpeng Qiao, Zhiwei Zhang, Yuntong Li, Ye Yuan, Shuliang Wang, Guoren Wang, Jeffrey Xu Yu
- IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024, CCF-A
TAG: Joint Triple-hierarchical Attention and GCN for Review-based Social Recommender System
Pengpeng Qiao, Zhiwei Zhang, Zhetao Li, Yuanxing Zhang, Kaigui Bian, Guoren Wang
- IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, CCF-A
Rices: Robust Data Inference and Cost-Effective Cell Selection for Sparse Mobile Crowdsensing
Chengxin Li, Zhetao Li, Saiqin Long, Pengpeng Qiao, Ye Yuan, Guoren Wang
- IEEE/ACM Transactions on Networking (ToN), 2024, CCF-A
FedSig: A Federated graph Augmentation for Class-Imbalanced Node Classification
Beibi, Zhiwei Zhang, Pengpeng Qiao, Ye Yuan, Guoren Wang
- International Conference on Database Systems for Advanced Applications (DASFAA), 2024, CCF-B
Detecting Critical Nodes in Hypergraphs via Hypergraph Convolutional Network
Zhuang Miao, Fuhui Sun, Xiaoyan Wang, Pengpeng Qiao, Kangfei Zhao, Yadong Wang, Zhiwei Zhang, and George Y. Yuan
- APWeb-WAIM International Joint Conference on Web and Big Data (APWeb), 2023, CCF-C
Efficient Truss Computation for Large Hypergraphs
Xinzhou Wang, Yinjia Chen, Zhiwei Zhang, Pengpeng Qiao, Guoren Wang
- International Conference on Web Information Systems Engineering (WISE), 2022, CCF-C
Adversarial Learning of Transitive Semantic Features for Cross-Domain Recommendation
Zhetao Li, Pengpeng Qiao(student first-author), Yuanxing Zhang, Kaigui Bian
- IEEE Global Communications Conference (GLOBECOM), 2019, CCF-C, Best Conference Paper Award of TCBD
Optimal trajectory planning of drones for 3D mobile sensing
Pengyu Zhao, Yuzhe Yang, Yuanxing Zhang, Kaigui Bian, Lingyang Song, Pengpeng Qiao, Zhetao Li
- IEEE Global Communications Conference (GLOBECOM), 2019, CCF-C
Fine-grained collision mitigation control for neighbor discovery in wireless sensor networks
Kaigui Bian, Yangbin Zhang, Pengpeng Qiao, Zhetao Li
- IEEE/CIC International Conference on Communications in China (ICCC), 2017
Invited Talks
- 2024.07, Oral presentation at DASFAA 2024 about our paper: ‘FedSig: A Federated graph Augmentation for Class-Imbalanced Node Classification’, Gifu, Japan.
- 2024.05, Oral presentation at ICDE 2024 about our paper: ‘Feed: Towards Personalization-Effective Federated Learning’, Utrecht, Netherlands.
- 2023.10, Oral presentation at APWeb 2023 about our paper: ‘Detecting Critical Nodes in Hypergraphs via Hypergraph Convolutional Network’, Wuhan, China.
- 2019.12, Oral presentation at APWeb 2023 about our paper: ‘Adversarial Learning of Transitive Semantic Features for Cross-Domain Recommendation’, Hawaii, USA.
Academic Services
- Conference/Journal Reviewers
- Journal Reviewers: IEEE TKDE, IEEE TDSC, IEEE TVT, ACM TSAS, IEEE ACCESS, The Computer Journal
- (External) Reviewer: VLDB (2022,2023), ICDE (2022,2023), AAAI (2021,2022)), SIGIR (2021), IJCAI(2022), DASFFA (2023,2024), PAKDD (2022), APWeb (2022,2023), EDBT(2022)
- Editorial/Organizing Committee Member
- Registration chair, Session chair, Australasian Database Conference (ADC) 2024.