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Reinforcement learning with verifiable rewards (RLVR) has become a key technique for en- hancing LLM reasoning, yet its data ineffi- ciency remains a major bottleneck. Existing methods address this problem only partially, each missing at…

Machine Learning · Computer Science 2026-05-28 Yuhan Li , Mingxu Zhang , Dazhong Shen , Ying Sun

In this work we propose an adaptive linear receiver structure based on interpolated finite impulse response (FIR) filters with adaptive interpolators for direct sequence code division multiple access (DS-CDMA) systems in multipath channels.…

Information Theory · Computer Science 2013-01-23 Rodrigo C. de Lamare , Raimundo Sampaio-Neto

Using radio-frequency (RF) sensing techniques for human posture recognition has attracted growing interest due to its advantages of pervasiveness, contact-free observation, and privacy protection. Conventional RF sensing techniques are…

Signal Processing · Electrical Eng. & Systems 2019-12-24 Jingzhi Hu , Hongliang Zhang , Boya Di , Lianlin Li , Lingyang Song , Yonghui Li , Zhu Han , H. Vincent Poor

Many active noise and vibration control systems require models of the control paths. When the controlled system changes slightly over time, adaptive digital filters for the identification of the models are useful. This paper aims at the…

Systems and Control · Electrical Eng. & Systems 2021-04-23 Dirk Mayer

Reconfigurable intelligent surfaces (RISs) have attracted increasing interest due to their ability to improve the coverage, reliability, and energy efficiency of millimeter wave (mmWave) communication systems. However, designing the RIS…

Signal Processing · Electrical Eng. & Systems 2022-11-15 Shuaifeng Jiang , Ahmed Hindy , Ahmed Alkhateeb

Intelligent reflecting surfaces (IRSs) have emerged as a promising wireless technology for the dynamic configuration and control of electromagnetic waves, thus creating a smart (programmable) radio environment. In this context, we study a…

Information Theory · Computer Science 2023-02-21 Christos N. Efrem , Ioannis Krikidis

This paper investigates the use of intelligent reflecting surfaces (IRS) to assist cellular communications and radar sensing operations in a communications and sensing setup. The IRS dynamically allocates reflecting elements to…

Signal Processing · Electrical Eng. & Systems 2025-10-24 Daniyal Munir , Atta Ullah , Danish Mehmood Mughal , Min Young Chung , Hans D. Schotten

Intelligent reflecting surface (IRS) has been recently employed to reshape the wireless channels by controlling individual scattering elements' phase shifts, namely, passive beamforming. Due to the large size of scattering elements, the…

Signal Processing · Electrical Eng. & Systems 2020-09-01 Shimin Gong , Jiaye Lin , Jinbei Zhang , Dusit Niyato , Dong In Kim , Mohsen Guizani

This letter investigates the joint active and passive beamforming optimization for intelligent reflecting surface (IRS) aided multiuser multiple-input multiple-output systems with the objective of maximizing the weighted sum-rate. We show…

Information Theory · Computer Science 2021-01-28 Xingyu Zhao , Tian Lin , Yu Zhu

Performance of the existing physical layer authentication schemes could be severely affected by the imperfect estimates and variations of the communication link attributes used. The commonly adopted static hypothesis testing for physical…

Cryptography and Security · Computer Science 2018-08-08 He Fang , Xianbin Wang , Lajos Hanzo

This paper investigates the performance of the adaptive matched filtering (AMF) in cluttered environments, particularly when operating with superimposed signals. Since the instantaneous signal-to-clutter-plus-noise ratio (SCNR) is a random…

Information Theory · Computer Science 2025-12-10 Lei Xie , Hengtao He , Yifeng Xiong , Fan Liu , Shi Jin

This paper introduces an approach that integrates self-adaptive Evolution Strategies (ES) with Large Language Models (LLMs) to enhance the explainability of complex optimization processes. By employing a self-adaptive ES equipped with a…

Neural and Evolutionary Computing · Computer Science 2024-08-06 Jill Baumann , Oliver Kramer

Integrating audio encoders with LLMs through connectors has enabled these models to process and comprehend audio modalities, significantly enhancing speech-to-text tasks, including automatic speech recognition (ASR) and automatic speech…

Audio and Speech Processing · Electrical Eng. & Systems 2024-09-18 Hongfei Xue , Wei Ren , Xuelong Geng , Kun Wei , Longhao Li , Qijie Shao , Linju Yang , Kai Diao , Lei Xie

Interpretability can be critical for the safe and responsible use of machine learning models in high-stakes applications. So far, evolutionary computation (EC), in particular in the form of genetic programming (GP), represents a key enabler…

Neural and Evolutionary Computing · Computer Science 2022-04-06 Marco Virgolin , Eric Medvet , Tanja Alderliesten , Peter A. N. Bosman

Fluid reconfigurable intelligent surfaces (FRIS) enable joint position and phase reconfigurability by integrating fluid antennas (FA) with conventional reconfigurable intelligent surfaces (RIS). In this paper, we propose a novel FRIS-based…

Information Theory · Computer Science 2026-03-13 Peng Zhang , Jian Dang , Miaowen Wen , Ziyang Liu , Kai-Kit Wong , Chen Zhao , Huaifeng Shi , Zaichen Zhang

This study presents an advanced wireless system that embeds target recognition within reconfigurable intelligent surface (RIS)-aided communication systems, powered by cuttingedge deep learning innovations. Such a system faces the challenge…

Information Theory · Computer Science 2025-05-06 Yixuan Huang , Jie Yang , Chao-Kai Wen , Shuqiang Xia , Xiao Li , Shi Jin

Reconfigurable intelligent surface (RIS) is a type of wireless communication technology that uses a reconfigurable surface, such as a wall or building that is able to adjust its properties by an integrated optimization algorithm in order to…

Applied Physics · Physics 2023-09-25 Emanuel Colella , Luca Bastianelli , Franco Moglie , Valter Mariani Primiani

Large language models (LLMs) have shown remarkable promise but remain challenging to continually improve through traditional finetuning, particularly when integrating capabilities from other specialized LLMs. Popular methods like ensemble…

Computation and Language · Computer Science 2025-06-02 Zhenglun Kong , Zheng Zhan , Shiyue Hou , Yifan Gong , Xin Meng , Pengwei Sui , Peiyan Dong , Xuan Shen , Zifeng Wang , Pu Zhao , Hao Tang , Stratis Ioannidis , Yanzhi Wang

Intelligent reflecting surfaces (IRS) consist of configurable meta-atoms, which can alter the wireless propagation environment through design of their reflection coefficients. We consider adaptive IRS control in the practical setting where…

Systems and Control · Electrical Eng. & Systems 2022-05-10 Junghoon Kim , Seyyedali Hosseinalipour , Andrew C. Marcum , Taejoon Kim , David J. Love , Christopher G. Brinton

This paper studies the fair transmission design for an intelligent reflecting surface (IRS) aided rate-splitting multiple access (RSMA). IRS is used to establish a good signal propagation environment and enhance the RSMA transmission…

Information Theory · Computer Science 2024-03-18 Shanshan Zhang , Wen Chen , Qingqing Wu , Ziwei Liu , Shunqing Zhang , Jun Li