Kaiwei Liu

According to our database, Kaiwei Liu authored at least 16 papers between 2021 and 2024.

Collaborative distances:

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

2024

DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge.

Bufang Yang, Siyang Jiang, Lilin Xu, Kaiwei Liu, Hai Li, Guoliang Xing, Hongkai Chen, Xiaofan Jiang, Zhenyu Yan

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., November, 2024

An Exact Theory of Causal Emergence for Linear Stochastic Iteration Systems.

Kaiwei Liu, Bing Yuan, Jiang Zhang

Entropy, August, 2024

Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies.

Bing Yuan, Jiang Zhang, Aobo Lyu, Jiayun Wu, Zhipeng Wang, Mingzhe Yang, Kaiwei Liu, Muyun Mou, Peng Cui

Entropy, February, 2024

Predicting Company Growth by Econophysics informed Machine Learning.

Ruyi Tao, Kaiwei Liu, Xu Jing, Jiang Zhang

CoRR, 2024

An Exact Theory of Causal Emergence for Linear Stochastic Iteration Systems.

Kaiwei Liu, Bing Yuan, Jiang Zhang

CoRR, 2024

VIAssist: Adapting Multi-modal Large Language Models for Users with Visual Impairments.

Bufang Yang, Lixing He, Kaiwei Liu, Zhenyu Yan

CoRR, 2024

Poster Abstract: Tasking Heterogeneous Sensor Systems with LLMs.

Kaiwei Liu, Bufang Yang, Lilin Xu, Yunqi Guo, Neiwen Ling, Zhihe Zhao, Guoliang Xing, Xian Shuai, Xiaozhe Ren, Xin Jiang, Zhenyu Yan

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Demo Abstract: CaringFM: An Interactive In-home Healthcare System Empowered by Large Foundation Models.

Haiyang Wu, Kaiwei Liu, Siyang Jiang, Zhihe Zhao, Zhenyu Yan, Guoliang Xing

Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

X-ray Security Contraband Detection Based on Improved YOLOX.

Kaiwei Liu, Bin Ren, Chunhong He, Fujie Wang, Ziming Xu

Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning, 2024

2023

Correction: Zhang, J.; Liu, K. Neural Information Squeezer for Causal Emergence. Entropy 2023, 25, 26.

Jiang Zhang, Kaiwei Liu

Entropy, October, 2023

Neural Information Squeezer for Causal Emergence.

Jiang Zhang, Kaiwei Liu

Entropy, January, 2023

Emergence and Causality in Complex Systems: A Survey on Causal Emergence and Related Quantitative Studies.

Bing Yuan, Zhang Jiang, Aobo Lyu, Jiayun Wu, Zhipeng Wang, Mingzhe Yang, Kaiwei Liu, Muyun Mou, Peng Cui

CoRR, 2023

Finding emergence in data: causal emergence inspired dynamics learning.

Mingzhe Yang, Zhipeng Wang, Kaiwei Liu, Yingqi Rong, Bing Yuan, Jiang Zhang

CoRR, 2023

Poster Abstract: Unifying On-device Tensor Program Optimization through Large Foundation Model.

Zhihe Zhao, Neiwen Ling, Kaiwei Liu, Nan Guan, Guoliang Xing

Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

2022

SRGM Decision Model Considering Cost-Reliability.

Wenqian Jiang, Ce Zhang, Di Liu, Kaiwei Liu, Zhichao Sun, Jianyuan Wang, Zhongyin Qiu, Weigong Lv

Int. J. Digit. Crime Forensics, 2022

2021

Bayesian and E-Bayesian Estimations of Bathtub-Shaped Distribution under Generalized Type-I Hybrid Censoring.

Yuxuan Zhang, Kaiwei Liu, Wenhao Gui

Entropy, 2021