arXivDaily arXiv每日学术速递 周一至周五更新

高校专区

Peking University(北京大学)

2026-01-23 至 2026-01-23 共收录 9
2601.16007 2026-01-23 cs.CV cs.AI

PhysicsMind: Sim and Real Mechanics Benchmarking for Physical Reasoning and Prediction in Foundational VLMs and World Models

PhysicsMind: 为基础多模态大语言模型和世界模型中的物理推理和预测进行仿真与现实力学基准测试

Chak-Wing Mak, Guanyu Zhu, Boyi Zhang, Hongji Li, Xiaowei Chi, Kevin Zhang, Yichen Wu, Yangfan He, Chun-Kai Fan, Wentao Lu, Kuangzhi Ge, Xinyu Fang, Hongyang He, Kuan Lu, Tianxiang Xu, Li Zhang, Yongxin Ni, Youhua Li, Shanghang Zhang

机构 * Peking University(北京大学) Mohamed bin Zayed University of Artificial Intelligence(莫扎伊德大学人工智能学院) National University of Singapore(新加坡国立大学) University of North Carolina at Chapel Hill(北卡罗来纳大学教堂山分校) University of Science and Technology of China(中国科学技术大学) Cornell University(康奈尔大学) Hong Kong Polytechnic University(香港理工大学) City University of Hong Kong(香港城市大学)

AI总结 PhysicsMind是一个结合现实和仿真环境的统一基准,用于评估基础多模态大语言模型和世界模型在物理推理和预测中的能力。

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2601.15953 2026-01-23 cs.AI

Decoupling Return-to-Go for Efficient Decision Transformer

解耦Return-to-Go以提高决策变换器的效率

Yongyi Wang, Hanyu Liu, Lingfeng Li, Bozhou Chen, Ang Li, Qirui Zheng, Xionghui Yang, Wenxin Li

机构 * School of Computer Science, Peking University(北京大学计算机学院)

AI总结 本文提出解耦DT,通过仅使用最新RTG提升决策变换器的效率和性能。

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2601.15731 2026-01-23 cs.CV cs.AI

FAIR-ESI: Feature Adaptive Importance Refinement for Electrophysiological Source Imaging

FAIR-ESI:面向脑电生理源成像的特征自适应重要性细化

Linyong Zou, Liang Zhang, Xiongfei Wang, Jia-Hong Gao, Yi Sun, Shurong Sheng, Kuntao Xiao, Wanli Yang, Pengfei Teng, Guoming Luan, Zhao Lv, Zikang Xu

机构 * School of Artificial Intelligence, Anhui University(安徽大学人工智能学院) Anhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center(安徽省生物医学成像与智能处理重点实验室,人工智能研究院,合肥综合性国家科学中心) School of Automation, Northwestern Polytechnical University(自动化学院,西北工业大学) Department of Neurosurgery, Beijing Key Laboratory of Epilepsy, Sanbo Brain Hospital Capital Medical University(神经外科,北京癫痫重点实验室,首都医科大学三博脑科医院) McGovern Institute for Brain Research, Peking University(麦戈文脑科学研究所,北京大学) Anhui Province Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University(安徽省多模态认知计算重点实验室,计算机科学与技术学院,安徽大学)

AI总结 FAIR-ESI 通过自适应细化不同视图的特征重要性,提升脑电生理源成像的精度,为脑部疾病诊断提供新方法。

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2601.15624 2026-01-23 cs.CV

Explainable Deepfake Detection with RL Enhanced Self-Blended Images

可解释的深度伪造检测与强化学习增强的自混合图像

Ning Jiang, Dingheng Zeng, Yanhong Liu, Haiyang Yi, Shijie Yu, Minghe Weng, Haifeng Shen, Ying Li

机构 * 1School of Software \& Microelectronics, Peking University, Beijing, China 2Mashang Consumer Finance Co., Ltd., Chongqing, China -0.15in

AI总结 本文提出了一种基于强化学习增强的自混合图像方法,用于可解释的深度伪造检测,通过自动化数据生成和定制奖励机制提升检测性能。

Comments Accepted at ICASSP 2026

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2601.15615 2026-01-23 cs.CV

Region-aware Spatiotemporal Modeling with Collaborative Domain Generalization for Cross-Subject EEG Emotion Recognition

具有协作域泛化的区域感知时空建模用于跨受体EEG情绪识别

Weiwei Wu, Yueyang Li, Yuhu Shi, Weiming Zeng, Lang Qin, Yang Yang, Ke Zhou, Zhiguo Zhang, Wai Ting Siok, Nizhuan Wang

机构 * Laboratory of Digital Image and Intelligent Computation, Shanghai Maritime University, Shanghai 201306, China(上海海洋大学数字图像与智能计算实验室) Department of Language Science and Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China(香港理工大学语言科学与技术系) School of Chinese as a Second Language, and Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China(北京大学第二语言学院及MRI研究中心) CAS Key Laboratory of Behavioral Science, Center for Brain Science and Learning Difficulties, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China(中国科学院行为科学重点实验室) Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing 100875, China(北京应用实验心理学重点实验室) Institute of Computing and Intelligence, Harbin Institute of Technology Shenzhen, Shenzhen 518000, China(哈尔滨工业大学深圳校区计算机与智能研究所)

AI总结 本文提出RSM-CoDG框架,通过区域感知时空建模与协作域泛化方法,提升跨受体EEG情绪识别的鲁棒性与泛化能力。

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2601.15326 2026-01-23 q-bio.QM cs.AI

ECGomics: An Open Platform for AI-ECG Digital Biomarker Discovery

ECGomics:一种用于AI-ECG数字生物标记物发现的开放平台

Deyun Zhang, Jun Li, Shijia Geng, Yue Wang, Shijie Chen, Sumei Fan, Qinghao Zha, Shenda Hong

机构 * HeartVoice Medical Technology(HeartVoice医疗科技) National Institute of Health Data Science(国家健康数据科学研究院) Peking University(北京大学) College of Integrative Chinese and Western Medicine(中西医结合学院) Anhui University of Chinese Medicine(安徽中医药大学) Department of Cardiology(心内科) Peking University People’s Hospital(北京大学人民医院) State Key Laboratory of Vascular Homeostasis and Remodeling(血管稳态与重塑国家重点实验室) NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides(国家心血管分子生物学与调节肽重点实验室) Institute of Medical Technology(医学技术研究院) Health Science Center of Peking University(北京大学健康科学中心)

AI总结 ECGomics通过多维分解心脏信号,结合专家规则与数据驱动方法,实现高精度、可解释的ECG数字生物标记物发现与应用。

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2601.08521 2026-01-23 cs.LG

Your Group-Relative Advantage Is Biased

你的组相对优势存在偏差

Fengkai Yang, Zherui Chen, Xiaohan Wang, Xiaodong Lu, Jiajun Chai, Guojun Yin, Wei Lin, Shuai Ma, Fuzhen Zhuang, Deqing Wang, Yaodong Yang, Jianxin Li, Yikun Ban

机构 * Beihang University(北航大学) University of California, Berkeley(加州大学伯克利分校) Peking University(北京大学) Meituan(美团)

AI总结 本文提出HA-DW方法,通过修正组相对优势估计的偏差,提升基于组的强化学习在数学推理任务中的性能。

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2509.24257 2026-01-23 cs.CR cs.LG

VeriLLM: A Lightweight Framework for Publicly Verifiable Decentralized Inference

VeriLLM:一种轻量级的公开可验证去中心化推理框架

Ke Wang, Zishuo Zhao, Xinyuan Song, Zelin Li, Libin Xia, Chris Tong, Bill Shi, Wenjie Qu, Eric Yang, Lynn Ai

机构 * University of Illinois Urbana-Champaign, Gradient(伊利诺伊大学厄巴纳-香槟分校,Gradient) Emory University(埃默里大学) Ohio State University(俄亥俄州立大学) Peking University(北京大学) National University of Singapore(新加坡国立大学)

AI总结 VeriLLM通过轻量级经验重跑和链上检查实现公开可验证的去中心化LLM推理,提高效率与安全性,减少验证成本。

Comments 18 pages, 4 figures, 6 tables

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2508.04174 2026-01-23 cs.SI cs.AI

Cohesive Group Discovery in Interaction Graphs under Explicit Density Constraints

在显式密度约束下交互图中的凝聚组发现

Yu Zhang, Yilong Luo, Mingyuan Ma, Yao Chen, Enqiang Zhu, Jin Xu, Chanjuan Liu

机构 * Peking University(北京大学) Beijing Capital International Airport Co., Ltd.(北京首都国际机场有限公司) Guangzhou University(广州大学) Dalian University of Technology(大连理工大学)

AI总结 本文提出EDQC框架,在显式密度约束下有效发现交互图中的凝聚组,通过能量扩散过程优化候选区域并确保密度要求,实验表明其在识别最大γ-准团方面表现优异。

Comments 10 pages, 6 figures

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