Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting. - Zulong Diao; Xin Wang 001; Dafang Zhang 001; Yingru Liu; Kun Xie 001; Shaoyao He (AAAI, 2019)

Quick and Accurate False Data Detection in Mobile Crowd Sensing. - Kun Xie 001; Xiaocan Li; Xin Wang 001; Gaogang Xie; Dongliang Xie; Zhenyu Li 001; Jigang Wen; Zulong Diao (INFOCOM, 2019)

A Hybrid Model for Short-Term Traffic Volume Prediction in Massive Transportation Systems. - Zulong Diao; Dafang Zhang 001; Xin Wang 001; Kun Xie 001; Shaoyao He; Xin Lu 002; Yanbiao Li (IEEE Trans. Intell. Transp. Syst., 2019)

Precise and Adaptable: Leveraging Deep Reinforcement Learning for GAP-based Multipath Scheduler. - Binbin Liao; Guangxing Zhang; Zulong Diao; Gaogang Xie (Networking, 2020)

Quick and Accurate False Data Detection in Mobile Crowd Sensing. - Xiaocan Li; Kun Xie 001; Xin Wang 001; Gaogang Xie; Dongliang Xie; Zhenyu Li 001; Jigang Wen; Zulong Diao; Tian Wang 001 (IEEE/ACM Trans. Netw., 2020)

CyCo: A Temporal Cycle Consistency Based Labeling Method for Time Series Data. - Fengrui Liu; Haiyang Jiang 001; Zulong Diao; Yanbiao Li; Gaogang Xie (IJCNN, 2021)

NeVe: A Log-based Fast Incremental Network Feature Embedding Approach. - Ran Tian; Zulong Diao; Haiyang Jiang 001; Gaogang Xie (ISCC, 2021)

LogDAC: A Universal Efficient Parser-based Log Compression Approach. - Ran Tian; Zulong Diao; Haiyang Jiang 001; Gaogang Xie (ICC, 2022)

Network Flow Based IoT Anomaly Detection Using Graph Neural Network. - Chongbo Wei; Gaogang Xie; Zulong Diao (KSEM (2), 2023)

Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection. - Haotian Si; Changhua Pei; Zhihan Li; Yadong Zhao; Jingjing Li; Haiming Zhang 002; Zulong Diao; Jianhui Li; Gaogang Xie; Dan Pei (ESEC/SIGSOFT FSE, 2023)

EC-GCN: A encrypted traffic classification framework based on multi-scale graph convolution networks. - Zulong Diao; Gaogang Xie; Xin Wang 001; Rui Ren; Xuying Meng; Guangxing Zhang; Kun Xie 001; Mingyu Qiao (Comput. Networks, 2023)

A lightweight deep learning framework for botnet detecting at the IoT edge. - Chongbo Wei; Gaogang Xie; Zulong Diao (Comput. Secur., 2023)

Cognition: Accurate and Consistent Linear Log Parsing Using Template Correction. - Ran Tian; Zulong Diao; Haiyang Jiang 001; Gaogang Xie (J. Comput. Sci. Technol., 2023)

Improving the Scalability of Distributed Network Emulations: An Algorithmic Perspective. - Huaiyi Zhao; Xinyi Zhang 004; Yang Wang 147; Zulong Diao; Yanbiao Li; Gaogang Xie (IEEE Trans. Netw. Serv. Manag., 2023)

GDI: A Novel IoT Device Identification Framework via Graph Neural Network-Based Tensor Completion. - Haoxuan Wang; Kun Xie 001; Xin Wang 001; Jigang Wen; Ruotian Xie; Zulong Diao; Wei Liang 005; Gaogang Xie; Jiannong Cao 001 (IEEE Trans. Serv. Comput., 2024)

GraphIoT: Lightweight IoT Device Detection Based on Graph Classifiers and Incremental Learning. - Yansong Yin; Kun Xie 001; Shiming He; Yanbiao Li; Jigang Wen; Zulong Diao; Dafang Zhang 001; Gaogang Xie (IEEE Trans. Serv. Comput., 2024)

DMSTG: Dynamic Multiview Spatio-Temporal Networks for Traffic Forecasting. - Zulong Diao; Xin Wang 001; Dafang Zhang 001; Gaogang Xie; Jianguo Chen 001; Changhua Pei; Xuying Meng; Kun Xie 001; Guangxing Zhang (IEEE Trans. Mob. Comput., 2024)

SCAMA: A Smart-Contract-Driven Asynchronous Model Aggregation Framework for Decentralized Federated Learning. - Mingzhi Mao; Xiangyuan Zhu; Jianguo Chen 001; Longxin Zhang; Guocheng Liao; Zulong Diao (HPSC, 2025)