Dynamic Self-training Framework for Graph Convolutional Networks. - Ziang Zhou; Shenzhong Zhang; Zengfeng Huang (CoRR, 2019)

SCE: Scalable Network Embedding from Sparsest Cut. - Shengzhong Zhang; Zengfeng Huang; Haicang Zhou; Ziang Zhou (KDD, 2020)

Decentralized Accelerated Proximal Gradient Descent. - Haishan Ye; Ziang Zhou; Luo Luo; Tong Zhang 001 (NeurIPS, 2020)

Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Lexical Information Fusion. - Ziang Zhou; Yanze Xu; Shilei Zhang; Ming Li 026 (CoRR, 2021)

Design of industrial internet of things system based on machine learning and artificial intelligence technology. - Xu Kun; Zhiliang Wang; Ziang Zhou; Wang Qi (J. Intell. Fuzzy Syst., 2021)

A Multimodal Framework for Automated Teaching Quality Assessment of One-to-many Online Instruction Videos. - Yueran Pan; Jiaxin Wu; Ran Ju; Ziang Zhou; Jiayue Gu; Songtian Zeng; Lynn Yuan; Ming Li 026 (ICPR, 2022)

SlotGAT: Slot-based Message Passing for Heterogeneous Graphs. - Ziang Zhou; Jieming Shi 001; Renchi Yang; Yuanhang Zou; Qing Li 001 (ICML, 2023)

Effective stabilized self-training on few-labeled graph data. - Ziang Zhou; Jieming Shi 001; Shengzhong Zhang; Zengfeng Huang; Qing Li 001 (Inf. Sci., 2023)

Multi-Consensus Decentralized Accelerated Gradient Descent. - Haishan Ye; Luo Luo; Ziang Zhou; Tong Zhang 001 (J. Mach. Learn. Res., 2023)

SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network. - Ziang Zhou; Jieming Shi 001; Renchi Yang; Yuanhang Zou; Qing Li 001 (CoRR, 2024)

GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation. - Ziang Zhou; Zhihao Ding; Jieming Shi 001; Qing Li 001; Shiqi Shen (CoRR, 2024)

EAFNet: Extraction-amplification-fusion network for tiny cracks detection. - Ziang Zhou; Wensong Zhao; Kechen Song; Yanyan Wang; Jun Li (Eng. Appl. Artif. Intell., 2024)

Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling. - Hongrui Li; Shuangxin Wang; Jiading Jiang; Chuiyi Deng; Junmei Ou; Ziang Zhou; Dingli Yu (Neurocomputing, 2024)

SPCNet: a strip pyramid ConvNeXt network for detection of road surface defects. - Ziang Zhou; Wensong Zhao; Jun Li; Kechen Song (Signal Image Video Process., 2024)

Calibrating LLM Confidence with Semantic Steering: A Multi-Prompt Aggregation Framework. - Ziang Zhou; Tianyuan Jin; Jieming Shi 001; Qing Li 001 (CoRR, 2025)