Kai Mei

Orcid: 0009-0004-7170-5312

According to our database1, Kai Mei authored at least 29 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Cross-media web video topic detection based on heterogeneous interactive tensor learning.
Knowl. Based Syst., January, 2024

AIOS: LLM Agent Operating System.
CoRR, 2024

What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents.
CoRR, 2024

2023
Mobile App Crowdsourced Test Report Consistency Detection via Deep Image-and-Text Fusion Understanding.
IEEE Trans. Software Eng., August, 2023

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars.
CoRR, 2023

LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation.
CoRR, 2023

OpenAGI: When LLM Meets Domain Experts.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Revealing pelvic structures in the presence of metal hip prostheses via non-circular CBCT orbits.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

UNICORN: A Unified Backdoor Trigger Inversion Framework.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Obstacle avoidance system based on electromagnetic Sensor and Visual ranging.
Proceedings of the 2023 7th International Conference on Innovation in Artificial Intelligence, 2023

NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Iterative Joint Estimation Procedure of Channel and PDP for OFDM Systems.
Entropy, November, 2022

Theoretical Analysis of Deep Neural Networks in Physical Layer Communication.
IEEE Trans. Commun., 2022

Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach.
IEEE Trans. Cogn. Commun. Netw., 2022

Opening the Black Box of Deep Neural Networks in Physical Layer Communication.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Rethinking the Reverse-engineering of Trojan Triggers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Performance Analysis on Machine Learning-Based Channel Estimation.
IEEE Trans. Commun., 2021

A Low Complexity Learning-Based Channel Estimation for OFDM Systems With Online Training.
IEEE Trans. Commun., 2021

LMMSE channel estimation for OFDM systems with channel correlation function selection.
IET Commun., 2021

Detecting Crowdsourced Test Report Consistency for Mobile Apps with Deep Image Understanding and Text Analysis.
CoRR, 2021

Opening the Black Box of Deep Neural Networks in Physical Layer Communication.
CoRR, 2021

2020
6G White Paper on Machine Learning in Wireless Communication Networks.
CoRR, 2020

2019
Online Extreme Learning Machine-Based Channel Estimation and Equalization for OFDM Systems.
IEEE Commun. Lett., 2019

Machine Learning Based Channel Estimation: A Computational Approach for Universal Channel Conditions.
CoRR, 2019

Model Classification-and-Selection Assisted Robust Receiver for OFDM Systems.
IEEE Access, 2019

2018
The Odor Characterizations and Reproductions in Machine Olfactions: A Review.
Sensors, 2018

Deep Neural Network Aided Scenario Identification in Wireless Multi-path Fading Channels.
CoRR, 2018

High-precision timing and frequency synchronization method for MIMO-OFDM systems in double-selective channels.
CoRR, 2018

2016
Effect of low-dose CT and iterative reconstruction on trabecular bone microstructure assessment.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016


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