1. Tiancheng Zhang, Shaoyuan Huang, Cheng Zhang, Xiaofei Wang, Wenyu Wang. EasyTS : The Express Lane to Long Time Series Forecasting. AAAI-24, 2024, (CCF-A)
2. Zhicheng Liu, Meng Tian, Mianxiong Dong, Xiaofei Wang, Chao Qiu, Cheng Zhang. (2024). MoEI : Mobility-Aware Edge Inference Based on Model Partition and Service Migration. IEEE Transactions on Mobile Computing, vol. 23, no. 10, October 2024. (CCF-A)
3. Cheng Zhang, Tiancheng Zhang, Yunfeng Zhao, Chao Qiu, Xiaofei Wang, Shizhan Lan, and Jingxu Cao. (2024). SemanticICV : Endogenous Secure Full-Scenario Learning for Intelligent Connected Vehicles Driven by Semantics. IEEE Network, March/April 2024. (CCF-A)
4. Zitong Zhang, Zhicheng Liu, Yunfeng Zhao, Chao Qiu, Cheng Zhang, Xiaofei Wang. EN-ASFL : A Federated Neural Architecture Search Scheme for Heterogeneous Deep Models in Distributed Edge Computing Systems. IEEE Transactions on Network Science and Engineering, (JCR-1, CAS-2)
5. Yufei Qiao, Shihao Shen, Cheng Zhang, Wenyu Wang, Tie Qiu, Xiaofei Wang. EdgeOptimizer : A programmable containerized scheduler of time-critical tasks in Kubernetes-based edge-cloud clusters. Future Generation Computer Systems, (CCF-C)
6. Zhang, C., Lv, J., Cao, J., Sheng, J.*, Song, D., & Zhang, T. (2024). SITH : Semantic Interpreter for Transformer Hierarchy. The 36th IEEE International Conference on Tools with Artificial Intelligence. (CCF-C)
7. 张程, 曹京旭, 吕劲昕, 严冬梅, "自然语言视角下基于凸包的知识蒸馏可解释性研究," 计算机科学与探索 1673-9418/2000/00(00)-0000-00, 2024.
8. Shaoyuan Huang, Zheng Wang, Heng Zhang, Xiaofei Wang, Cheng Zhang, and Wenyu Wang. (2023). One for All : Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud Platforms. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’23), August 6–10, 2023, (CCF-A)
9. Zhang, C., Chen, Z., Yan, D., Cao, J., & Zhang, Q. (2023, April). Is a Single Embedding Sufficient? Resolving Polysemy of Words from the Perspective of Markov Decision Process. In Database Systems for Advanced Applications : 28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part III (pp. 555-571). Cham : Springer Nature Switzerland. (CCF B)
10. Chao Qiu, Zheyuan Chen, Xiaoxu Ren, Ziming Dai, Cheng Zhang*, Xiaofei Wang, “AImers-6G : AI-Driven Region-Temporal Resource Provisioning for 6G Immersive Services,” in IEEE Wireless Communications Magazine, 2023. (CAS/JCR-1, IF :12.7)
11. Zhang, C., Zhang, T., Zhao, Y., Qiu, C., Wang, X., Lan, S., & Cao, J. (2023). SemanticICV : Endogenous Secure Full-Scenario Learning for Intelligent Connected Vehicles Driven by Semantics. IEEE Network. (CAS/JCR-1, IF :10.294)
12. Yicheng Feng, Shihao Shen, Cheng Zhang, and Xiaofei Wang. (2023). Quicklayer : A Layer-Stack-Oriented Accelerating Middleware for Fast Deployment in Edge Clouds. In Proceedings of the 7th Asia-Pacific Workshop on Networking (APNET 2023), (CCF-C)
13. Zhicheng Liu, Zebo Zhao, Xiaofei Wang, Mianxiong Dong, Chao Qiu and Cheng Zhang, Toward Mobility-aware Edge Inference via Model Partition and Service Migration,” in IEEE International Conference on Communications.(CCF-C)
14. Li, Y., Qiu, C., Wang, X., Zhang, C., Wang, W., Lan, S., & Jiang, J. (2023). LoCoCa : Location-Context-Capacity Aware Cost Economizing in Edge-Cloud Systems. In Proceedings of the 2023 IEEE Global Communications Conference (GLOBECOM).(CCF-C)
15. Zheng Di, Tao Luo, Chao Qiu, Cheng Zhang, Zhutao Liu, Xiaofei Wang, Jing Jiang. In-Network Pooling : Contribution-Aware Allocation Optimization for Computing Power Network in B5G/6G Era. IEEE Transactions on Network Science and Engineering, (CAS/JCR-2).
16. Feng, Y., Shen, S., Xu, M., Zhang, C., Wang, X., Wang, X., ... & Leung, V. (2023). A large-scale holistic measurement of crowdsourced edge cloud platform. World Wide Web, 1-24. (IF :1.77 ,CAS/JCR-3, CCF-B)
17. Shihao Shen, Yicheng Feng, Mengwei Xu, Cheng Zhang, Xiaofei Wang, Wenyu Wang, Victor C.M. Leung. A Holistic QoS View of Crowdsourced Edge Cloud Platform. IEEE/ACM 31st International Symposium on Quality of Service (IWQoS), 2023, (CCF-B).
18. Zhang, C., Li, Q., Hua, L., & Song, D. (2021, August). How does Attention Affect the Model?. In Findings of the Association for Computational Linguistics : ACL-IJCNLP 2021 (pp. 256-268).
19. Zhang, C., Li, Q., Hua, L., & Song, D. (2020). Assessing the Memory Ability of Recurrent Neural Networks. The 24th European Conference on Artificial Intelligence. Accepted.
20. Xu, J., Zhang, C., Zhang, P., & Song, D. (2018, August). Text Classification with Enriched Word Features. In Pacific Rim International Conference on Artificial Intelligence (pp. 274-281). Springer, Cham.
21. Zhang, C., Zhang, P., Li, J., & Song, D. (2016, July). SECC : A Novel Search Engine Interface with Live Chat Channel. In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval (pp. 1137-1140). ACM.
22. 专利授权, 第一作者, 一种基于可读性指标的信息检索方法。专利号 : ZL201510976829.X
23. 专利申请, 第一作者, 一种基于聊天模块的信息检索方法。申请号 : ZL201810101448.0