Publications

期刊论文

1. Tian Ren, Siyao Cheng, Hao Zhang, Jie Liu. Dynamic clustered federated learning via adaptive distribution similarity computation. Computer Networks. 2025.

2. Mingrui Yin, Hao Zhang, Chenxin Cai, Meiyan Liang, Jie Liu. Omniveyor: An Assembled Logistics Sorting System Powered by Reinforcement Learning. IEEE Transactions on Automation Science and Engineering. 2025.

3. Tingting Wu, Xiao Ding, Hao Zhang, Minji Tang, Bing Qin, Ting Liu. Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement. Neural Networks. 2024.

4. 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 of Things Journal. 2024. 

5. Zhifeng Ma, Hao Zhang, Jie Liu. DB-RNN: A RNN for Precipitation Nowcasting Deblurring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17, 5026 - 5041. 

6. Hao Zhang, TingtingWu, Siyao Cheng, Jie Liu. CC-FedAvg: Computationally Customized Federated Averaging[J]. IEEE Internet of Things Journal, 2024, 11(3): 4826-4841.

7. Hao Zhang, Qingying HouTingtingWu, Siyao Cheng, Jie Liu. Data Augmentation Based Federated Learning[J]. IEEE Internet of Things Journal, 2023, 10(24): 22530-22541. 

8. Zhifeng Ma, Hao Zhang, Jie Liu. MS-LSTM: Exploring Spatiotemporal Multiscale Representations in Video Prediction Domain[J]. Applied Soft Computing. 2023. 

9. Yinlong Li, Siyao Cheng, Hao Zhang, Jie Liu. Dynamic adaptive workload offloading strategy in mobile edge computing networks[J]. Computer Networks, 2023.

10. 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[J]. IEEE Transactions on Multimedia, 2023.

11. Hao Zhang, Tingting Wu, Zhifeng Ma, Feng Li, Jie Liu. Dynamic layer-wise sparsification for distributed deep learning[J]. Future Generation Computer Systems, 2023, 147:1-15.

12. Zhifeng Ma, Hao Zhang, Jie Liu. MM-RNN: A Multimodal RNN for Precipitation Nowcasting[J]. IEEE Transactions on Geoscience and Remote Sensing. 2023, 61: 1-14.

13. 马志峰，张浩，刘劼. 基于深度学习的端临降水预报综述[J]. 计算机工程与科学. 2023, 45(10): 1731-1753.

14. Hao Zhang, TingtingWu, Siyao Cheng, Jie Liu. FedCos: A Scene-adaptive Enhancement for Federated Learning[J]. IEEE Internet of Things Journal, 2023, 10(5): 4545 - 4556.

15. Zhifeng Ma, Hao Zhang, Jie Liu. MS-RNN: A flexible multi-scale framework for spatiotemporal predictive learning. Arxiv, 2022. 

16. Zhifeng Ma, Hao Zhang, Jie Liu. PrecipLSTM: A Meteorological Spatiotemporal LSTM for Precipitation Nowcasting[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-8.

17. Zhifeng Ma, Hao Zhang*, Jie Liu. Focal Frame Loss: A Simple but Effective Loss for Precipitation Nowcasting[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 6781-6788.

18. Hao Zhang, Nenghai Yu, Yonggang Wen. Mobile cloud computing based privacy protection in location‐based information survey applications[J]. Security and Communication Networks, 2015, 8(6): 1006-1025. 

19. Hao Zhang, Nenghai Yu, Yonggang Wen, Weiming Zhang. Towards optimal noise distribution for privacy preserving in data aggregation[J]. Computers & security, 2014, 45: 210-230.

20. Hao Zhang, Nenghai Yu, Honggang Hu. The optimal noise distribution for privacy preserving in mobile aggregation applications[J]. International Journal of Distributed Sensor Networks, 2014, 10(2): 678098.

会议论文

1. Yinlong Li, Hao Zhang, Siyao Cheng, Jie Liu. Federated Edge Learning with Blurred or Pseudo Data Sharing[C]//Proceedings of the 53st International Conference on Parallel Processing. 2024.

2. 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[C]//Findings of the Association for Computational Linguistics: ACL 2023.

3. Bolong Liu,Hao Zhang, Jie Liu, and Qiang Wang. ACIGS: An automated large-scale crops image generation system based on large visual language multi-modal models[C]//Workshop on Sensing, Communication and Networking for Smart Agriculture (AgriSECON 2023). 2023: 7-13. 

4. Hao Zhang, Tingting Wu, Siyao Cheng, Jie Liu. Aperiodic Local SGD: Beyond Local SGD[C]//Proceedings of the 51st International Conference on Parallel Processing. 2022: 1-10. 

5. Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu. STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing[C]//Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022: 7587-7598.

6. Zhifeng Ma, Shuaibo Li, Hao Zhang, Jie Liu. Hierarchical convolutional recurrent neural network for Chinese text classification[C]//Second International Conference on Sensors and Information Technology (ICSI 2022). SPIE, 2022, 12248: 213-219. 

7. Hao Zhang, Yonggang Wen, Nenghai Yu, Xinwen Zhang. Privacy-preserving computation for location-based information survey via mobile cloud computing[C]//2013 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2013: 100-105.

专著

1. Hao Zhang , Yonggang Wen, Haiyong Xie, Nenghai Yu. Distributed hash table: Theory, platforms and applications. Springer. 2013.