Publications

期刊论文

1. 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.

2. 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. 

3. 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. 

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

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

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

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

8. 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.

9. 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.

10. 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.

11. 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.

12. 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.

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

14. 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.

15. 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.

16. 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. 

17. 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.

18. 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. 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.

2. 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. 

3. 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. 

4. 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.

5. 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. 

6. 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.