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2020 – today
- 2024
[j7]Dongkuo Wu, Xing-Wei Wang, Xueyi Wang, Min Huang, Rongfei Zeng, Kaiqi Yang
:
Multi-objective optimization-based workflow scheduling for applications with data locality and deadline constraints in geo-distributed clouds. Future Gener. Comput. Syst. 157: 485-498 (2024)- [j6]Qiang He, Yu Wang, Xingwei Wang, Weiqiang Xu, Fuliang Li, Kaiqi Yang, Lianbo Ma:
Routing Optimization With Deep Reinforcement Learning in Knowledge Defined Networking. IEEE Trans. Mob. Comput. 23(2): 1444-1455 (2024) - [j5]Kaiqi Yang, Xingwei Wang, Qiang He, Liang Zhao, Yufei Liu, Daniele Tarchi:
Knowledge-Defined Edge Computing Networks Assisted Long-Term Optimization of Computation Offloading and Resource Allocation Strategy. IEEE Trans. Wirel. Commun. 23(6): 5316-5329 (2024) - [c4]Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu:
Content Knowledge Identification with Multi-agent Large Language Models (LLMs). AIED (2) 2024: 284-292 - [i4]Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu:
Are Large Language Models (LLMs) Good Social Predictors? CoRR abs/2402.12620 (2024) - [i3]Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu:
Content Knowledge Identification with Multi-Agent Large Language Models (LLMs). CoRR abs/2404.07960 (2024) - [i2]Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Hui Liu, Yasemin Copur-Gencturk, Jiliang Tang:
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization. CoRR abs/2410.02165 (2024) - 2023
- [i1]Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu:
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation. CoRR abs/2310.13845 (2023) - 2022
- [c3]Bin Gu, Xingwei Wang, Kaiqi Yang, Yu Wang, Qiang He:
IA-DD: An SDN Topological Poisoning Attack Defense Scheme Based on Blockchain. MSN 2022: 814-820 - 2021
- [j4]Kaiqi Yang, Yifan Cao, Youtian Zhang, Shaoxun Fan, Ming Tang, Daniel Aberg, Babak Sadigh, Fei Zhou:
Self-supervised learning and prediction of microstructure evolution with convolutional recurrent neural networks. Patterns 2(5): 100243 (2021) - [j3]Liang Zhao, Kaiqi Yang, Zhiyuan Tan, Houbing Song, Ahmed Al-Dubai, Albert Y. Zomaya, Xianwei Li:
Vehicular Computation Offloading for Industrial Mobile Edge Computing. IEEE Trans. Ind. Informatics 17(11): 7871-7881 (2021) - [j2]Liang Zhao, Kaiqi Yang, Zhiyuan Tan, Xianwei Li, Suraj Sharma, Zhi Liu:
A Novel Cost Optimization Strategy for SDN-Enabled UAV-Assisted Vehicular Computation Offloading. IEEE Trans. Intell. Transp. Syst. 22(6): 3664-3674 (2021) - [c2]Yufei Liu, Liang Zhao, Kaiqi Yang, Yunpeng Li:
A Novel Path Planning-Aware Vehicular Task Offloading Strategy. HPCC/DSS/SmartCity/DependSys 2021: 229-236 - 2020
- [c1]Yuchun Zhang, Liang Zhao, Kaiqi Yang, Lexi Xu:
Mobile Edge Computing for Intelligent Mining Safety: A Case Study of Ventilator. ISPA/BDCloud/SocialCom/SustainCom 2020: 1300-1305
2010 – 2019
- 2019
- [j1]Shanshan Chen, Junjie Wei, Kaiqi Yang:
Spatial Nonhomogeneous Periodic Solutions Induced by Nonlocal Prey Competition in a Diffusive Predator-Prey Model. Int. J. Bifurc. Chaos 29(4): 1950043:1-1950043:19 (2019)
Coauthor Index
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