Temperature Forecasting via Convolutional Recurrent Neural Networks Based on Time-Series Data. - Zao Zhang; Yuan Dong (Complex., 2020)

A two-level architecture for deep learning applications in mobile edge computing. - Zao Zhang; Yuning Zhang; Dong Yuan 001; Wei Bao 001 (MobiArch, 2022)

Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads. - Yu Zhang 177; Huaming Chen; Zhongzheng Lai; Zao Zhang; Dong Yuan 001 (AI (1), 2023)

Trajectory Alignment based Multi-Scaled Temporal Attention for Efficient Video Transformer. - Zao Zhang; Dong Yuan 001; Yu Zhang 177; Wei Bao 001 (ICME, 2023)

ITIF: Integrated Transformers Inference Framework for Multiple Tenants on GPU. - Yuning Zhang; Zao Zhang; Wei Bao 001; Dong Yuan 001 (ICPP, 2023)

Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads. - Yu Zhang 177; Huaming Chen; Wei Bao 001; Zhongzheng Lai; Zao Zhang; Dong Yuan 001 (CoRR, 2023)

CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence. - Zao Zhang; Huaming Chen; Pei Ning; Nan Yang; Dong Yuan 001 (ICDM, 2024)

Coarse-to-Fine: A hierarchical DNN inference framework for edge computing. - Zao Zhang; Yuning Zhang; Wei Bao 001; Changyang Li; Dong Yuan 001 (Future Gener. Comput. Syst., 2024)

Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation. - Xiaowei Yu; Zhe Huang; Zao Zhang (WACV, 2025)