| 2026 | AAAI | Mnemosyne: Accelerating Multi-Hop Question Answering via Cache Hit Order Fitting. | Haizhou Du, Jiujiu Li, Dongyang Li, Luobin Huang, Lisheng Wang |
| 2026 | IWQoS | FedQCab: A Common Plug-and-Play Layer-wise Quantization Tool for Communication-Efficient Federated Learning. | Haizhou Du, Tonghao Chen |
| 2026 | IWQoS | DNSMedic: Automated Precision Diagnosis and Repair Guidance for DNS Misconfigurations. | Ziyi Wang, Kaiqiang Hu, Lei Tian, Mochun Long, Haizhou Du, Qiao Xiang, Mengrui Zhang, Letian Zhu |
| 2026 | MMM | M3RAG: Orchestrating Multi-agent Reasoning for Multi-hop, Multi-modal Understanding. | Haizhou Du, Wenhao Li |
| 2026 | WWW | FedRGL: Federated Riemannian Graph Learning in Mixed-Curvature Spaces with Ricci-Gated Convolution. | Haizhou Du, Haolin Wu, Zijie Zhu, Zicheng Shi |
| 2026 | SIGCOMM | SemDNS: A Declarative Semantics for DNS Resolution. | Kaiqiang Hu, Haizhou Du, Kexin Yu, Xiaoliang Wang |
| 2025 | CIKM | Decoupling Feature Entanglement for Personalized Federated Learning via Neural Collapse. | Haizhou Du, Pengfei Li |
| 2025 | ECAI | FedHigh: A Graph-Guided Aggregation Framework for Layer-Wised Personalized Federated Learning. | Haizhou Du, Chongyi Qiu, Huan Huo |
| 2025 | ICA3PP | FedHyperClass: Boosting Cross-Modal Consensus for Federated Learning with Unimodal Clients. | Haizhou Du, Chongyi Qiu |
| 2025 | IPCCC | DNSHolmes: A Scalable Framework for DNS Repair Using Large Language Models. | Kaiqiang Hu, Haizhou Du, Ziyi Wang |
| 2024 | CSCWD | FlowSeer: A Novel Framework for Generalized Network Performance Estimation at Flow Level. | Haizhou Du, Ming Li |
| 2024 | NPC | FedZipper: A Layer-wise Quantization Compression Framework for Federated Learning with Statistical Heterogeneity. | Haizhou Du, Yan Peng |
| 2023 | ICPADS | What Appears Suboptimal May Surprise You: A Fixed-Rate Scheduling Policy for Geo-Distributed CoFlows. | Haoyu Liu, Feiyan Ding, Yao Wang, Qiao Xiang, Jiwu Shu, Haizhou Du, Linghe Kong, Xue Liu |
| 2023 | IWQoS | Toward a Unified Framework for Verifying and Interpreting Learning-Based Networking Systems. | Yangfan Huang, Yuling Lin, Haizhou Du, Yijian Chen, Haohao Song, Linghe Kong, Qiao Xiang, Qiang Li, Franck Le, Jiwu Shu |
| 2022 | ICANN | Sailfish: A Fast Bayesian Change Point Detection Framework with Gaussian Process for Time Series. | Haizhou Du, Yang Zheng |
| 2021 | ACIIDS | Trident: Change Point Detection for Multivariate Time Series via Dual-Level Attention Learning. | Ziyi Duan, Haizhou Du, Yang Zheng |
| 2021 | KSEM | Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System. | Haizhou Du, Yue Tang |
| 2020 | CIKM | Controllable Multi-Character Psychology-Oriented Story Generation. | Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du |
| 2020 | SIGCOMM | Dawn: Co-programming Distributed Applications with Network Control. | Shuhe Wang, Dong Guo, Wei Jiang, Haizhou Du, Mingwei Xu |
| 2019 | ICPADS | OctopusKing: A TCT-Aware Task Scheduling on Spark Platform. | Haizhou Du, Keke Zhang, Sheng Huang |
| 2016 | INFOCOM | Novel clustering-based approach for Local Outlier Detection. | Haizhou Du, Shengjie Zhao, Daqiang Zhang, Jinsong Wu |
| 2016 | TrustCom | A Novel Text Feature Weight Calculation Method Applied to Power Field. | Haizhou Du, Zhengbo Chen, Qifen Li, Yongwen Yang |
| 2015 | ICDM | Robust Local Outlier Detection. | Haizhou Du, Shengjie Zhao, Daqiang Zhang |