Kaiqi Yang

According to our database, Kaiqi Yang authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Novel Multimodal Long-Term Trajectory Prediction Scheme for Heterogeneous User Behavior Patterns.

Yufei Liu, Yuanguo Bi, Xiaoming Yuan, Dusit Niyato, Kaiqi Yang, Xiangyi Chen, Liang Zhao

IEEE Trans. Mob. Comput., December, 2024

Knowledge-Defined Edge Computing Networks Assisted Long-Term Optimization of Computation Offloading and Resource Allocation Strategy.

Kaiqi Yang, Xingwei Wang, Qiang He, Liang Zhao, Yufei Liu, Daniele Tarchi

IEEE Trans. Wirel. Commun., June, 2024

Routing Optimization With Deep Reinforcement Learning in Knowledge Defined Networking.

Qiang He, Yu Wang, Xingwei Wang, Weiqiang Xu, Fuliang Li, Kaiqi Yang, Lianbo Ma

IEEE Trans. Mob. Comput., February, 2024

Multi-objective optimization-based workflow scheduling for applications with data locality and deadline constraints in geo-distributed clouds.

Dongkuo Wu, Xing-Wei Wang, Xueyi Wang, Min Huang, Rongfei Zeng, Kaiqi Yang

Future Gener. Comput. Syst., 2024

Exploring Social Desirability Response Bias in Large Language Models: Evidence from GPT-4 Simulations.

Sanguk Lee, Kaiqi Yang, Tai-Quan Peng, Ruth Heo, Hui Liu

CoRR, 2024

A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization.

Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Hui Liu, Yasemin Copur-Gencturk, Jiliang Tang

CoRR, 2024

Are Large Language Models (LLMs) Good Social Predictors?

Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Spectral-Aware Augmentation for Enhanced Graph Representation Learning.

Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Content Knowledge Identification with Multi-agent Large Language Models (LLMs).

Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation.

Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu

CoRR, 2023

2022

IA-DD: An SDN Topological Poisoning Attack Defense Scheme Based on Blockchain.

Bin Gu, Xingwei Wang, Kaiqi Yang, Yu Wang, Qiang He

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

2021

A Novel Cost Optimization Strategy for SDN-Enabled UAV-Assisted Vehicular Computation Offloading.

Liang Zhao, Kaiqi Yang, Zhiyuan Tan, Xianwei Li, Suraj Sharma, Zhi Liu

IEEE Trans. Intell. Transp. Syst., 2021

Vehicular Computation Offloading for Industrial Mobile Edge Computing.

Liang Zhao, Kaiqi Yang, Zhiyuan Tan, Houbing Song, Ahmed Al-Dubai, Albert Y. Zomaya, Xianwei Li

IEEE Trans. Ind. Informatics, 2021

Self-supervised learning and prediction of microstructure evolution with convolutional recurrent neural networks.

Kaiqi Yang, Yifan Cao, Youtian Zhang, Shaoxun Fan, Ming Tang, Daniel Aberg, Babak Sadigh, Fei Zhou

Patterns, 2021

A Novel Path Planning-Aware Vehicular Task Offloading Strategy.

Yufei Liu, Liang Zhao, Kaiqi Yang, Yunpeng Li

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020

Mobile Edge Computing for Intelligent Mining Safety: A Case Study of Ventilator.

Yuchun Zhang, Liang Zhao, Kaiqi Yang, Lexi Xu

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

2019

Spatial Nonhomogeneous Periodic Solutions Induced by Nonlocal Prey Competition in a Diffusive Predator-Prey Model.

Shanshan Chen, Junjie Wei, Kaiqi Yang

Int. J. Bifurc. Chaos, 2019