Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Peking UniversityCN1.8k papers
- Institute of High Energy PhysicsCN1.4k papers
- Tsinghua UniversityCN1.4k papers
- Carnegie Mellon UniversityUS1.3k papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT1.3k papers
- Indian Institute of Technology MadrasIN1.2k papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PerugiaIT1.2k papers
- Joint Institute for Nuclear ResearchRU1.1k papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT1.1k papers
- National Centre for Nuclear ResearchPL1k papers
- Seoul National UniversityKR999 papers
- Charles UniversityCZ978 papers
4,881 papers
Four-hundred Very Metal-poor Stars Studied with LAMOST and Subaru. IV. Heavy Element Enhanced Stars
Yangming Lin, Haining Li, Wako Aoki +7
We perform a homogeneous analysis of 82 heavy-element-enhanced metal-poor stars from the\\ LAMOST/Subaru sample, including 64 -process-enhanced stars, 2 limited- stars, and 1…
Two-Dimensional Magnetic Materials from Ferromagnetism to Altermagnetism: Fabrication, Symmetry, Evidence, and Device Readiness
Guojian Zhao, Ziang Meng, Li Liu +9
Atomically thin magnets are governed by composition, thickness, stacking, strain, defects, substrates, ferroic order, and interfaces. This Review organizes two-dimensional (2D) mag…
CMAR-search: Commonsense and Memory Augmented Reasoning for Object Search in Dynamic Interactive Environments
Kaiyao Liao, Qingfeng Li, Xinlei Zhang +3
Dynamic interactive object search in large-scale human environments presents substantial challenges for existing methods. Current scene representations like 3D Scene Graphs (3DSG)…
Rare-earth tuning of magnetic entropy and interaction scales in K(PO) ( = Yb, Gd) for adiabatic demagnetization refrigeration
Yonglin Wang, Chuandi Zhang, Jianglong Zhang +8
Adiabatic demagnetization refrigeration (ADR) based on frustrated rare-earth magnets provides a promising route toward helium-free sub-Kelvin cooling, while balancing magnetic entr…
Progress Reward Model for Reinforcement Learning via Large Language Models
Xiuhui Zhang, Ning Gao, Xingyu Jiang +4
Traditional reinforcement learning (RL) algorithms face significant limitations in handling long-term tasks with sparse rewards. Recent advancements have leveraged large language m…
From band reconstruction to Bogoliubov dispersion: How dz2-band enhances iron-based superconductivity
Jingming Yan, Shendong Su, Guihao Jia +6
Conventional understanding of iron-based superconductivity is usually established based on electronic bands at the Fermi level, leaving deeper bands overlooked as potential factor.…
Dynamic Positional Attention Modulation for Parameter-Efficient Fine-Tuning of Large Language Models
Dayan Pan, Jingyuan Wang, Xie Yu
Parameter-efficient fine-tuning (PEFT) has become a standard approach for adapting large language models to downstream tasks. However, most existing PEFT methods rely on uniform an…
Binary kagome superconducting candidates hosting topological electronic states
Xin-Wei Yi, Jing-Yang You, Gang Su
Topological superconductivity has attracted broad interest because of its connection to Majorana fermions and quantum computation. Kagome materials provide a natural setting in whi…
Dynamic LoRA-Experts and Prototype-Ensemble Matching for Class-Incremental Learning
Hongwei Zhao, Rui Liu, Yansong Liu
Class-Incremental Learning (CIL) aims to continuously learn new classes without forgetting previously acquired knowledge. Parameter-efficient fine-tuning with pre-trained models re…
Decoupled and Distilled: Task-Adaptive LoRA-Teachers with Ensemble Knowledge Transfer for Few-Shot Class-Incremental Learning
Hongwei Zhao, Rui Liu, Yansong Liu +2
Few-Shot Class-Incremental Learning (FSCIL) addresses the challenge of learning new classes from very limited samples while retaining knowledge of previously learned ones. Although…
Learning from synthetic photorealistic raindrop for single image raindrop removal
Zhixiang Hao, Shaodi You, Yu Li +2
Raindrops adhered to camera lens or windshield are inevitable in rainy scenes and can become an issue for many computer vision systems such as autonomous driving. Because raindrop…
Bare-Die Antiferromagnetic Computing
Yu Liu, Zhuoting Han, Zexin Feng +15
Semiconductor electronic devices are increasingly constrained by fundamental quantum tunneling effects and charge-based mechanisms, which severely limit further miniaturization, wr…
Modeling dependent degradation data considering inherent causal relationships for reliability analysis and remaining useful life prediction
Shi-Shun Chen, Xiao-Yang Li
Accurate modeling of dependent degradation processes is essential for credible reliability assessment and remaining useful life (RUL) prediction in complex systems. Existing depend…
Spin-Polarized Magnetic Metal Electrodes for Magnetic Tunnel Junctions
Zhiyuan Duan, Peixin Qin, Li Liu +7
Magnetic tunnel junctions are foundational components of spintronic memory, sensing, and computing, and their performance depends critically on the magnetic metallic electrodes. Th…
Occluded Gait Recognition with Mixture of Experts: An Action Detection Perspective
Panjian Huang, Yunjie Peng, Saihui Hou +4
Extensive occlusions in real-world scenarios pose challenges to gait recognition due to missing and noisy information, as well as body misalignment in position and scale. We argue…
ICEGR: An Intent-Coherent End-to-End Generative Retrieval Framework for E-commerce Search
Jiayi Tuo, Hehan Li, Dongjun Fu +10
Generative Retrieval (GR) is promising for e-commerce search, yet existing methods struggle to maintain query-intent consistency throughout the training pipeline. First, semantic I…
Visual Analysis of LLM-based Entity Resolution from Scientific Papers
Siyu Wu, Yi Yang, Weize Wu +6
This paper focuses on the visual analytics support for extracting domain-specific entity from extensive scientific literature, a task with inherent limitations using traditional na…
Z-Fold Wing Aeroelasticity: Compositional Modeling, 1:2 Double-Hopf Dynamics, and Nonlinear Stiffness Effects
Gelin Chen, Haolin Yang, Chen Song +1
Folding changes the linearized aeroelastic spectrum and can switch which mode becomes unstable first, with consequences for local postflutter interactions. This study formulates a…
Direct measurement of the in-medium mass spectrum through the decay channel
Y. Matsumura, N. Muramatsu, T. A. Hashimoto +58
We measured the invariant mass of the meson through the decay channel to search for possible character change of in a nuclear mediu…
Room-temperature ferroelectrically switchable quantum geometry in few-layer WTe2 for complementary in-memory computing
Ruihan Wang, Pengfei Wang, Haoyun Chen +10
Quantum geometry, describing the inherent geometric structure of electron wavefunctions in momentum space, transcends the traditional charge degree of freedom and provides a novel…
NeuroPath: Brain-Inspired Dual-Pathway Graph Convolutional Networks for Skeleton-Based Action Recognition
Kanglei Zhou, Ruizhi Cai, Hubert P. H. Shum +2
Skeleton-based action recognition aims to recognize human actions from sequences of human joint coordinates. Most existing Spatial-Temporal Graph Convolutional Networks (STGCNs) ha…
Best Reaction Target To Determine Proton Distribution Radii of Atomic Nuclei
Jun-Yao Xu, Bao-Hua Sun, Isao Tanihata +29
We found that a heavy target such as Pb is most suitable for determining the proton distribution radii of unstable nuclei through charge-changing cross-section () meas…
FinEvo-Bench: A Longitudinal Benchmark for Self-Evolving Agents in Professional Financial Workflows
Bo Deng, Kang Zhou, Lifan Guo +6
Agents used over time encounter recurring professional work: each case requires different evidence and judgment, while the underlying workflow can be reused. Benchmarks built from…
ExeCRE: Execution-Consistency Guided Reliability Estimation for Self-Correcting Code Generation
Yiru Dong, Richong Zhang, Fanshuang Kong +1
Large language models (LLMs) have made notable progress in code generation, but they still struggle on challenging tasks that require sophisticated algorithms or complex implementa…