Effect of low-dose CT and iterative reconstruction on trabecular bone microstructure assessment. - Felix K. Kopp; Thomas Baum; Radin A. Nasirudin; Kai Mei; Eduardo Grande Garcia; Rainer Burgkart; Ernst J. Rummeny; Jan S. Bauer; Peter B. Noël (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

High-precision timing and frequency synchronization method for MIMO-OFDM systems in double-selective channels. - Jun Liu 047; Kai Mei; Xiaochen Zhang; Xiaoying Zhang; Dongtang Ma; Jibo Wei (CoRR, 2018)

Deep Neural Network Aided Scenario Identification in Wireless Multi-path Fading Channels. - Jun Liu 047; Kai Mei; Dongtang Ma; Jibo Wei (CoRR, 2018)

The Odor Characterizations and Reproductions in Machine Olfactions: A Review. - Tengteng Wen; Dehan Luo; Jiafeng He; Kai Mei (Sensors, 2018)

Model Classification-and-Selection Assisted Robust Receiver for OFDM Systems. - Xiaoying Zhang; Kai Mei; Xiaoran Liu; Lei Zhang 035; Jibo Wei (IEEE Access, 2019)

Machine Learning Based Channel Estimation: A Computational Approach for Universal Channel Conditions. - Kai Mei; Jun Liu 047; Xiaochen Zhang; Jibo Wei (CoRR, 2019)

Online Extreme Learning Machine-Based Channel Estimation and Equalization for OFDM Systems. - Jun Liu 047; Kai Mei; Xiaochen Zhang; Dongtang Ma; Jibo Wei (IEEE Commun. Lett., 2019)

6G White Paper on Machine Learning in Wireless Communication Networks. - Samad Ali; Walid Saad; Nandana Rajatheva; Kapseok Chang; Daniel Steinbach; Benjamin Sliwa; Christian Wietfeld; Kai Mei; Hamid Shiri; Hans-Jürgen Zepernick; Thi My Chinh Chu; Ijaz Ahmad 001; et al. (CoRR, 2020)

Opening the Black Box of Deep Neural Networks in Physical Layer Communication. - Jun Liu 047; Kai Mei; Dongtang Ma; Jibo Wei (CoRR, 2021)

Detecting Crowdsourced Test Report Consistency for Mobile Apps with Deep Image Understanding and Text Analysis. - Shengcheng Yu; Chunrong Fang; Kai Mei; Yexiao Yun; Zhenfei Cao; Zhihao Cao; Zhenyu Chen 001 (CoRR, 2021)

LMMSE channel estimation for OFDM systems with channel correlation function selection. - Kai Mei; Jun Liu 047; Xiaoran Liu; Jun Xiong 002; Xiaoying Zhang; Jibo Wei (IET Commun., 2021)

A Low Complexity Learning-Based Channel Estimation for OFDM Systems With Online Training. - Kai Mei; Jun Liu 047; Xiaoying Zhang; Kuo Cao; Nandana Rajatheva; Jibo Wei (IEEE Trans. Commun., 2021)

Performance Analysis on Machine Learning-Based Channel Estimation. - Kai Mei; Jun Liu 047; Xiaochen Zhang; Nandana Rajatheva; Jibo Wei (IEEE Trans. Commun., 2021)

Rethinking the Reverse-engineering of Trojan Triggers. - Zhenting Wang; Kai Mei; Hailun Ding; Juan Zhai; Shiqing Ma (NeurIPS, 2022)

Opening the Black Box of Deep Neural Networks in Physical Layer Communication. - Jun Liu 047; Haitao Zhao 001; Dongtang Ma; Kai Mei; Jibo Wei (WCNC, 2022)

Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach. - Jun Liu 047; Kai Mei; Xiaochen Zhang; Desmond C. McLernon; Dongtang Ma; Jibo Wei; Syed Ali Raza Zaidi (IEEE Trans. Cogn. Commun. Netw., 2022)

Theoretical Analysis of Deep Neural Networks in Physical Layer Communication. - Jun Liu 047; Haitao Zhao 001; Dongtang Ma; Kai Mei; Jibo Wei (IEEE Trans. Commun., 2022)

Iterative Joint Estimation Procedure of Channel and PDP for OFDM Systems. - Ruixuan He; Xiaoran Liu; Kai Mei; Guangwei Gong; Jun Xiong 002; Jibo Wei (Entropy, 2022)

NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models. - Kai Mei; Zheng Li 023; Zhenting Wang; Yang Zhang 016; Shiqing Ma (ACL (1), 2023)

Obstacle avoidance system based on electromagnetic Sensor and Visual ranging. - Huangsheng Xu; Kai Mei; Yanjia Yu; Zhen Liu; Qingyong Zhang (ICIAI, 2023)

UNICORN: A Unified Backdoor Trigger Inversion Framework. - Zhenting Wang; Kai Mei; Juan Zhai; Shiqing Ma (ICLR, 2023)

Revealing pelvic structures in the presence of metal hip prostheses via non-circular CBCT orbits. - Tess Reynolds; Yiqun Ma; Tianyu Wang; Kai Mei; Peter B. Noël; Grace J. Gang; J. Webster Stayman (Image-Guided Procedures, 2023)

OpenAGI: When LLM Meets Domain Experts. - Yingqiang Ge; Wenyue Hua; Kai Mei; Jianchao Ji; Juntao Tan; Shuyuan Xu; Zelong Li; Yongfeng Zhang (NeurIPS, 2023)

LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation. - Kai Mei; Yongfeng Zhang (CoRR, 2023)

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars. - Wenyue Hua; Lizhou Fan; Lingyao Li; Kai Mei; Jianchao Ji; Yingqiang Ge; Libby Hemphill; Yongfeng Zhang (CoRR, 2023)

Mobile App Crowdsourced Test Report Consistency Detection via Deep Image-and-Text Fusion Understanding. - Shengcheng Yu; Chunrong Fang; Quanjun Zhang; Zhihao Cao; Yexiao Yun; Zhenfei Cao; Kai Mei; Zhenyu Chen 001 (IEEE Trans. Software Eng., 2023)

Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models. - Yunsheng Ma; Xu Cao; Wenqian Ye; Can Cui; Kai Mei; Ziran Wang (EMNLP (Findings), 2024)

What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents. - Mingyu Jin; Beichen Wang; Zhaoqian Xue; Suiyuan Zhu; Wenyue Hua; Hua Tang; Kai Mei; Mengnan Du; Yongfeng Zhang (CoRR, 2024)

AIOS: LLM Agent Operating System. - Kai Mei; Zelong Li; Shuyuan Xu; Ruosong Ye; Yingqiang Ge; Yongfeng Zhang (CoRR, 2024)

Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers? - Mingyu Jin; Qinkai Yu; Jingyuan Huang; Qingcheng Zeng; Zhenting Wang; Wenyue Hua; Haiyan Zhao 003; Kai Mei; Yanda Meng; Kaize Ding; Fan Yang 023; Mengnan Du; et al. (CoRR, 2024)

AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents. - Shuyuan Xu; Zelong Li; Kai Mei; Yongfeng Zhang (CoRR, 2024)

AutoFlow: Automated Workflow Generation for Large Language Model Agents. - Zelong Li; Shuyuan Xu; Kai Mei; Wenyue Hua; Balaji Rama; Om Raheja; Hao Wang; He Zhu; Yongfeng Zhang (CoRR, 2024)

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents. - Hanrong Zhang; Jingyuan Huang; Kai Mei; Yifei Yao; Zhenting Wang; Chenlu Zhan; Hongwei Wang 001; Yongfeng Zhang (CoRR, 2024)

Cross-media web video topic detection based on heterogeneous interactive tensor learning. - Chengde Zhang; Kai Mei; Xia Xiao (Knowl. Based Syst., 2024)

iAgent: LLM Agent as a Shield between User and Recommender Systems. - Wujiang Xu; Yunxiao Shi; Zujie Liang; Xuying Ning; Kai Mei; Kun Wang; Xi Zhu; Min Xu; Yongfeng Zhang (ACL (Findings), 2025)

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers? - Mingyu Jin; Qinkai Yu; Jingyuan Huang; Qingcheng Zeng; Zhenting Wang; Wenyue Hua; Haiyan Zhao 003; Kai Mei; Yanda Meng; Kaize Ding; Fan Yang 023; Mengnan Du; et al. (COLING, 2025)

From Commands to Prompts: LLM-based Semantic File System for AIOS. - Zeru Shi; Kai Mei; Mingyu Jin; Yongye Su; Chaoji Zuo; Wenyue Hua; Wujiang Xu; Yujie Ren; Zirui Liu 001; Mengnan Du; Dong Deng 001; Yongfeng Zhang (ICLR, 2025)

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents. - Hanrong Zhang; Jingyuan Huang; Kai Mei; Yifei Yao; Zhenting Wang; Chenlu Zhan; Hongwei Wang; Yongfeng Zhang (ICLR, 2025)

Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding. - Mingyu Jin; Kai Mei; Wujiang Xu; Mingjie Sun; Ruixiang Tang; Mengnan Du; Zirui Liu 001; Yongfeng Zhang (CoRR, 2025)

A-MEM: Agentic Memory for LLM Agents. - Wujiang Xu; Zujie Liang; Kai Mei; Hang Gao; Juntao Tan; Yongfeng Zhang (CoRR, 2025)

InstructAgent: Building User Controllable Recommender via LLM Agent. - Wujiang Xu; Yunxiao Shi; Zujie Liang; Xuying Ning; Kai Mei; Kun Wang 056; Xi Zhu; Min Xu; Yongfeng Zhang (CoRR, 2025)

ECCOS: Efficient Capability and Cost Coordinated Scheduling for Multi-LLM Serving. - Kai Mei; Wujiang Xu; Shuhang Lin; Yongfeng Zhang (CoRR, 2025)

Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery. - Balaji Rama; Kai Mei; Yongfeng Zhang (CoRR, 2025)

LiteCUA: Computer as MCP Server for Computer-Use Agent on AIOS. - Kai Mei; Xi Zhu; Hang Gao; Shuhang Lin; Yongfeng Zhang (CoRR, 2025)

Semantic Scheduling for LLM Inference. - Wenyue Hua; Dujian Ding; Yile Gu; Yujie Ren; Kai Mei; Minghua Ma; William Yang Wang (CoRR, 2025)

ReaGAN: Node-as-Agent-Reasoning Graph Agentic Network. - Minghao Guo; Xi Zhu; Jingyuan Huang; Kai Mei; Yongfeng Zhang (CoRR, 2025)