Hao Zhang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 16

Top Topics

Spatiotemporal Features

Privacy Preserving

Horizontally Partitioned

Data Aggregation

Top Venues

IEEE Internet Things J.

IEEE Trans. Geosci. Remote. Sens.

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

Hao Zhang, Tingting Wu, Siyao Cheng, Jie Liu
CC-FedAvg: Computationally Customized Federated Averaging. IEEE Internet Things J. 11 (3) (2024)
Siyao Cheng, Tian Ren, Hao Zhang, Jiayan Huang, Jie Liu
A Stackelberg-Game-Based Framework for Edge Pricing and Resource Allocation in Mobile Edge Computing. IEEE Internet Things J. 11 (11) (2024)
Zhifeng Ma, Hao Zhang, Jie Liu
DB-RNN: An RNN for Precipitation Nowcasting Deblurring. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Yinlong Li, Hao Zhang, Siyao Cheng, Jie Liu
Federated Edge Learning with Blurred or Pseudo Data Sharing. ICPP (2024)
Tingting Wu, Xiao Ding, Hao Zhang, Minji Tang, Bing Qin, Ting Liu
Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement. Neural Networks 176 (2024)
Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Minji Tang, Li Du, Bing Qin, Ting Liu
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. IEEE Trans. Multim. 26 (2024)
Hao Zhang, Tingting Wu, Zhifeng Ma, Feng Li, Jie Liu
Dynamic layer-wise sparsification for distributed deep learning. Future Gener. Comput. Syst. 147 (2023)
Yinlong Li, Siyao Cheng, Hao Zhang, Jie Liu
Dynamic adaptive workload offloading strategy in mobile edge computing networks. Comput. Networks 233 (2023)
Hao Zhang, Qingying Hou, Tingting Wu, Siyao Cheng, Jie Liu
Data-Augmentation-Based Federated Learning. IEEE Internet Things J. 10 (24) (2023)
Zhifeng Ma, Hao Zhang, Jie Liu
MS-LSTM: Exploring spatiotemporal multiscale representations in video prediction domain. Appl. Soft Comput. 147 (2023)
Zhifeng Ma, Hao Zhang, Jie Liu
MM-RNN: A Multimodal RNN for Precipitation Nowcasting. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Hao Zhang, Tingting Wu, Siyao Cheng, Jie Liu
FedCos: A Scene-Adaptive Enhancement for Federated Learning. IEEE Internet Things J. 10 (5) (2023)
Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. ACL (Findings) (2023)
Zhifeng Ma, Hao Zhang, Jie Liu
MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive Learning. CoRR (2022)
Zhifeng Ma, Hao Zhang, Jie Liu
PrecipLSTM: A Meteorological Spatiotemporal LSTM for Precipitation Nowcasting. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Zhifeng Ma, Hao Zhang, Jie Liu
Focal Frame Loss: A Simple but Effective Loss for Precipitation Nowcasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Hao Zhang, Nenghai Yu, Yonggang Wen
Mobile cloud computing based privacy protection in location-based information survey applications. Secur. Commun. Networks 8 (6) (2015)
Hao Zhang, Nenghai Yu, Yonggang Wen, Weiming Zhang
Towards optimal noise distribution for privacy preserving in data aggregation. Comput. Secur. 45 (2014)
Hao Zhang, Nenghai Yu, Honggang Hu
The Optimal Noise Distribution for Privacy Preserving in Mobile Aggregation Applications. Int. J. Distributed Sens. Networks 10 (2014)
Hao Zhang, Yonggang Wen, Honggang Hu, Nenghai Yu
Toward Optimal Additive Noise Distribution for Privacy Protection in Mobile Statistics Aggregation. GreenCom/iThings/CPScom (2013)