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Integrated Sensing and Communication with Reconfigurable Holographic Surface 基于可重构全息表面的集成传感与通信
IF 8.3 2区 计算机科学
IEEE Transactions on Communications Pub Date : 2025-06-05 DOI: 10.1109/tcomm.2025.3576916
Peizhen Zhu, Wei Ni, Xin Wang
{"title":"Integrated Sensing and Communication with Reconfigurable Holographic Surface","authors":"Peizhen Zhu, Wei Ni, Xin Wang","doi":"10.1109/tcomm.2025.3576916","DOIUrl":"https://doi.org/10.1109/tcomm.2025.3576916","url":null,"abstract":"","PeriodicalId":13041,"journal":{"name":"IEEE Transactions on Communications","volume":"33 1","pages":""},"PeriodicalIF":8.3,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144228497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cooperative ISAC: A Mutual Information-Based Approach for the Two-Base Stations Case 合作ISAC：双基站情况下基于相互信息的方法
IF 6.8 2区 计算机科学
IEEE Transactions on Vehicular Technology Pub Date : 2025-06-05 DOI: 10.1109/tvt.2025.3576976
Baoxin Yin, Jie Jia, Yuanwei Liu, Jian Chen, Xingwei Wang
{"title":"Cooperative ISAC: A Mutual Information-Based Approach for the Two-Base Stations Case","authors":"Baoxin Yin, Jie Jia, Yuanwei Liu, Jian Chen, Xingwei Wang","doi":"10.1109/tvt.2025.3576976","DOIUrl":"https://doi.org/10.1109/tvt.2025.3576976","url":null,"abstract":"","PeriodicalId":13421,"journal":{"name":"IEEE Transactions on Vehicular Technology","volume":"18 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144228513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis on Energy Efficiency of RIS-Assisted Multiuser Downlink Near-Field Communications ris辅助下多用户下行近场通信的能效分析
IF 8.3 2区 计算机科学
IEEE Transactions on Communications Pub Date : 2025-06-05 DOI: 10.1109/tcomm.2025.3576945
Wei Wang, Xiaoyu Ou, Zhihan Ren, Waqas Bin Abbas, Shuping Dang, Angela Doufexi, Mark A. Beach
{"title":"Analysis on Energy Efficiency of RIS-Assisted Multiuser Downlink Near-Field Communications","authors":"Wei Wang, Xiaoyu Ou, Zhihan Ren, Waqas Bin Abbas, Shuping Dang, Angela Doufexi, Mark A. Beach","doi":"10.1109/tcomm.2025.3576945","DOIUrl":"https://doi.org/10.1109/tcomm.2025.3576945","url":null,"abstract":"","PeriodicalId":13041,"journal":{"name":"IEEE Transactions on Communications","volume":"70 1","pages":""},"PeriodicalIF":8.3,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144228528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hybrid Beamforming Design for Bistatic Integrated Sensing and Communication Systems 双基地集成传感与通信系统的混合波束形成设计
IF 8.3 2区 计算机科学
IEEE Transactions on Communications Pub Date : 2025-06-05 DOI: 10.1109/tcomm.2025.3576904
Tianhao Mao, Jie Yang, Le Liang, Shi Jin
{"title":"Hybrid Beamforming Design for Bistatic Integrated Sensing and Communication Systems","authors":"Tianhao Mao, Jie Yang, Le Liang, Shi Jin","doi":"10.1109/tcomm.2025.3576904","DOIUrl":"https://doi.org/10.1109/tcomm.2025.3576904","url":null,"abstract":"","PeriodicalId":13041,"journal":{"name":"IEEE Transactions on Communications","volume":"17 1","pages":""},"PeriodicalIF":8.3,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144228533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ERPoT: Effective and Reliable Pose Tracking for Mobile Robots Using Lightweight Polygon Maps ERPoT：基于轻量级多边形映射的移动机器人有效可靠的姿态跟踪
IF 7.8 1区 计算机科学
IEEE Transactions on Robotics Pub Date : 2025-06-05 DOI: 10.1109/tro.2025.3577028
Haiming Gao, Qibo Qiu, Hongyan Liu, Dingkun Liang, Chaoqun Wang, Xuebo Zhang
{"title":"ERPoT: Effective and Reliable Pose Tracking for Mobile Robots Using Lightweight Polygon Maps","authors":"Haiming Gao, Qibo Qiu, Hongyan Liu, Dingkun Liang, Chaoqun Wang, Xuebo Zhang","doi":"10.1109/tro.2025.3577028","DOIUrl":"https://doi.org/10.1109/tro.2025.3577028","url":null,"abstract":"","PeriodicalId":50388,"journal":{"name":"IEEE Transactions on Robotics","volume":"20 1","pages":""},"PeriodicalIF":7.8,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144228559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Wireless-Powered RIS-Aided Cell-Free Massive MIMO With Hardware Impairments for URLLC 无线供电ris辅助无蜂窝大规模MIMO与硬件缺陷的URLLC
IF 10.6 1区 计算机科学
IEEE Internet of Things Journal Pub Date : 2025-06-05 DOI: 10.1109/jiot.2025.3576828
Xiaojiao Yu, Qiang Sun, Yushi Shen, Feiyang Li, Xiaomin Chen, Shuping Dang, Jiayi Zhang
{"title":"Wireless-Powered RIS-Aided Cell-Free Massive MIMO With Hardware Impairments for URLLC","authors":"Xiaojiao Yu, Qiang Sun, Yushi Shen, Feiyang Li, Xiaomin Chen, Shuping Dang, Jiayi Zhang","doi":"10.1109/jiot.2025.3576828","DOIUrl":"https://doi.org/10.1109/jiot.2025.3576828","url":null,"abstract":"","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":"7 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144228588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Gen-3Diffusion: Realistic Image-to-3D Generation Via 2D & 3D Diffusion Synergy gen -3扩散：通过2D和3D扩散协同实现逼真的图像到3D生成
IF 23.6 1区 计算机科学
IEEE Transactions on Pattern Analysis and Machine Intelligence Pub Date : 2025-06-05 DOI: 10.1109/tpami.2025.3577067
Yuxuan Xue, Xianghui Xie, Riccardo Marin, Gerard Pons-Moll
{"title":"Gen-3Diffusion: Realistic Image-to-3D Generation Via 2D & 3D Diffusion Synergy","authors":"Yuxuan Xue, Xianghui Xie, Riccardo Marin, Gerard Pons-Moll","doi":"10.1109/tpami.2025.3577067","DOIUrl":"https://doi.org/10.1109/tpami.2025.3577067","url":null,"abstract":"","PeriodicalId":13426,"journal":{"name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","volume":"10 1","pages":""},"PeriodicalIF":23.6,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144228615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs 破译RLHF: llm从人类反馈中强化学习的关键分析
IF 16.6 1区 计算机科学
ACM Computing Surveys Pub Date : 2025-06-05 DOI: 10.1145/3743127
Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande, Bruno Castro da Silva
{"title":"RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs","authors":"Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande, Bruno Castro da Silva","doi":"10.1145/3743127","DOIUrl":"https://doi.org/10.1145/3743127","url":null,"abstract":"A significant challenge in training large language models (LLMs) as effective assistants is aligning them with human preferences. Reinforcement learning from human feedback (RLHF) has emerged as a promising solution. However, our understanding of RLHF is often limited to initial design choices. This paper analyzes RLHF through reinforcement learning principles, focusing on the reward model. It examines modeling choices and function approximation caveats, highlighting assumptions about reward expressivity and revealing limitations like incorrect generalization, model misspecification, and sparse feedback. A categorical review of current literature provides insights for researchers to understand the challenges of RLHF and build upon existing methods.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"17 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144228644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhanced Precise Point Positioning Method Based on Intelligent Identification of NLOS Signal 基于NLOS信号智能识别的增强精确点定位方法
IF 10.6 1区 计算机科学
IEEE Internet of Things Journal Pub Date : 2025-06-05 DOI: 10.1109/jiot.2025.3577001
Qianming Wang, Kan Xie, Zhenni Li, Kungan Zeng, Shengli Xie, Maodeng Li, Banage T.G.S. Kumara
{"title":"Enhanced Precise Point Positioning Method Based on Intelligent Identification of NLOS Signal","authors":"Qianming Wang, Kan Xie, Zhenni Li, Kungan Zeng, Shengli Xie, Maodeng Li, Banage T.G.S. Kumara","doi":"10.1109/jiot.2025.3577001","DOIUrl":"https://doi.org/10.1109/jiot.2025.3577001","url":null,"abstract":"","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":"72 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144228651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Probing the fitness landscape of the influential nodes for the influence maximization problem in social networks 探讨社交网络中影响最大化问题的影响节点的适应度景观
IF 8.2 1区 计算机科学
Swarm and Evolutionary Computation Pub Date : 2025-06-05 DOI: 10.1016/j.swevo.2025.102002
Jianxin Tang, Jiaqiang Fu, Xinyue Li, Lele Geng, Juan Pang
{"title":"Probing the fitness landscape of the influential nodes for the influence maximization problem in social networks","authors":"Jianxin Tang,&nbsp;Jiaqiang Fu,&nbsp;Xinyue Li,&nbsp;Lele Geng,&nbsp;Juan Pang","doi":"10.1016/j.swevo.2025.102002","DOIUrl":"10.1016/j.swevo.2025.102002","url":null,"abstract":"<div><div>Influence Maximization (IM) is a key issue of information dissemination and has been proved to be an NP-hard problem. However, traditional methods always suffer from low efficiency, poor scalability, and tend to fall into local optima. Probing the promising distribution regions of the potential influential nodes from the macroscopic perspective is necessary and helpful in understanding the influence propagation. To address such challenges, this paper makes attempt to depict the fitness landscape distribution of the expected influence of the social individuals in the network from a novel perspective. An entropy measure is introduced as a decision criterion and a fitness landscape-guided differential evolution optimization (FLDE) is proposed. Firstly, the distribution of the potential solution regions is depicted by characterizing the fitness landscape designed specially for IM problem. Next, a guiding strategy based on the fitness landscape is conceived to drive the differential evolution towards more promising solution regions by avoiding the entrapment in local optima. Experiments conducted on six real social networks and three synthetic networks indicate that the FLDE outperforms the state-of-the-art baselines by an average of 16% in influence spread and shows strong scalability when dealing with different types of networks.</div></div>","PeriodicalId":48682,"journal":{"name":"Swarm and Evolutionary Computation","volume":"97 ","pages":"Article 102002"},"PeriodicalIF":8.2,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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