7.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN89 papers
- Tsinghua UniversityCN53 papers
- University of Chinese Academy of SciencesCN37 papers
- Institute of PhysicsPL33 papers
- Institute of Theoretical PhysicsCN27 papers
- Peking UniversityCN23 papers
- Beijing Institute of TechnologyCN21 papers
- Beijing Normal UniversityCN20 papers
- Beihang UniversityCN16 papers
- Tohoku UniversityJP14 papers
- University of Science and Technology of ChinaCN14 papers
- Academy of Mathematics and Systems ScienceCN13 papers
49 papers · 1 filter
Proportional integral derivative booster for neural networks-based time-series prediction: Case of water demand prediction
Tony Salloom, Okyay Kaynak, Xinbo Yub +1
Multi-step time-series prediction is an essential supportive step for decision-makers in several industrial areas. Artificial intelligence techniques, which use a neural network co…
A Novel Deep Neural Network Architecture for Real-Time Water Demand Forecasting
Tony Salloom, Okyay Kaynak, Wei He
Short-term water demand forecasting (StWDF) is the foundation stone in the derivation of an optimal plan for controlling water supply systems. Deep learning (DL) approaches provide…
Probing the inner structures of the observed and resonances
Yu-Bin Zhang, Yi-Heng Wang, Hui-Hua Zhong +1
To shed light on the inner structure of the observed single-bottom strange baryons, in this work we systematically study the Okubo-Zweig-Iizuka allowed strong decay properties of $…
End-to-End 3-D Spatiotemporal Perception with Multimodal Fusion and V2X Collaboration
Zhenwei Yang, Yibo Ai, Weidong Zhang
Multiview cooperative perception and multimodal fusion are essential for reliable 3-D spatiotemporal understanding in autonomous driving, especially in cases with occlusions, limit…
Unified study of and processes
Yun-Hua Chen
We perform a unified description of the experimental data of the invariant mass spectra of , the and invariant mass spectra of $…
Energy-Efficient Federated Learning with Relay-Assisted Aggregation in IIoT Networks
Hamid Reza Hashempour, Mostafa Nozari, Gilberto Berardinelli +4
This paper presents an energy-efficient transmission framework for federated learning (FL) in industrial Internet of Things (IIoT) environments with strict latency and energy const…
Group Orthogonal Low-Rank Adaptation for RGB-T Tracking
Zekai Shao, Yufan Hu, Jingyuan Liu +2
Parameter-efficient fine-tuning has emerged as a promising paradigm in RGB-T tracking, enabling downstream task adaptation by freezing pretrained parameters and fine-tuning only a…
Decoding the structure near the mass threshold in decays
Yun-Hua Chen, Xiang-Kun Dong, Feng-Kun Guo +2
In light of recent high-precision data taken by the BESIII Collaboration, we reconsider the dipion transition . The strong pion-pion final-state inte…
Robustness study of the bio-inspired musculoskeletal arm robot based on the data-driven iterative learning algorithm
Jianbo Yuan, Jing Dai, Yerui Fan +3
The human arm exhibits remarkable capabilities, including both explosive power and precision, which demonstrate dexterity, compliance, and robustness in unstructured environments.…
Critical Exponent of Dynamical Quantum Phase Transition in One-Dimensional Bose-Hubbard Model in the Strong Interacting Limit
Jia Li, Yajiang Hao
We analytically investigated the dynamical quantum phase transitions in the Bose-Hubbard model using the Loschmidt echo as an observable, revealing that after a quench, the global…
PC-NCLaws: Physics-Embedded Conditional Neural Constitutive Laws for Elastoplastic Materials
Xueguang Xie, Shu Yan, Shiwen Jia +4
While data-driven methods offer significant promise for modeling complex materials, they often face challenges in generalizing across diverse physical scenarios and maintaining phy…
EventFormer: A Node-graph Hierarchical Attention Transformer for Action-centric Video Event Prediction
Qile Su, Shoutai Zhu, Shuai Zhang +2
Script event induction, which aims to predict the subsequent event based on the context, is a challenging task in NLP, achieving remarkable success in practical applications. Howev…
Navigating the Dual-Use Nature and Security Implications of Reconfigurable Intelligent Surfaces in Next-Generation Wireless Systems
Hetong Wang, Tiejun Lv, Yashuai Cao +4
Reconfigurable intelligent surface (RIS) technology offers significant promise in enhancing wireless communication systems, but its dual-use potential also introduces substantial s…
ConstraintLLM: A Neuro-Symbolic Framework for Industrial-Level Constraint Programming
Weichun Shi, Minghao Liu, Wanting Zhang +4
Constraint programming (CP) is a crucial technology for solving real-world constraint optimization problems (COPs), with the advantages of rich modeling semantics and high solving…
Symmetric Entropy-Constrained Video Coding for Machines
Yuxiao Sun, Meiqin Liu, Chao Yao +5
As video transmission increasingly serves machine vision systems (MVS) instead of human vision systems (HVS), video coding for machines (VCM) has become a critical research topic.…
Revisiting Madigan and Mosurski: Collapsibility via Minimal Separators
Pei Heng, Shiyuan He, Yi Sun +1
Collapsibility provides a principled approach for dimension reduction in contingency tables and graphical models. Madigan and Mosurski (1990) pioneered the study of minimal collaps…
Advancing Metallic Surface Defect Detection via Anomaly-Guided Pretraining on a Large Industrial Dataset
Chuni Liu, Hongjie Li, Jiaqi Du +4
The pretraining-finetuning paradigm is a crucial strategy in metallic surface defect detection for mitigating the challenges posed by data scarcity. However, its implementation pre…
Bosonic realization of SU(3) chiral Haldane phases
Linpu Zhang, Junjun Xu
We give a bosonic realization of the SU(3) antiferromagnetic Heisenberg (AFH) chain in the alternating conjugate representation, and study its phase diagram as a function of stagge…
DCReg: Decoupled Characterization for Efficient Degenerate LiDAR Registration
Xiangcheng Hu, Xieyuanli Chen, Mingkai Jia +3
LiDAR point cloud registration is fundamental to robotic perception and navigation. In geometrically degenerate environments (e.g., corridors), registration becomes ill-conditioned…
Uninformed-to-Informed Estimation: A Ping-Pong Positioning Method for Multi-user Wideband mmWave Systems
Lin Guo, Tiejun Lv, Yashuai Cao +1
To enhance the positioning and tracking performance of dynamic user equipment (UE) in wideband millimeter-wave (mmWave) systems, we propose a novel positioning error lower bound (P…
Atomistic understanding of hydrogen bubble-induced embrittlement in tungsten enabled by machine learning molecular dynamics
Yu Bao, Keke Song, Jiahui Liu +4
Hydrogen bubble formation within nanoscale voids is a critical mechanism underlying the embrittlement of metallic materials, yet its atomistic origins remains elusive. Here, we pre…
Asymmetric stress engineering of dense dislocations in brittle superconductors for strong vortex pinning
Meng Han, Chiheng Dong, Chao Yao +17
Large lossless currents in high-temperature superconductors (HTS) critically rely on dense defects with suitable size and dimensionality to pin vortices, with dislocations being pa…
Spatial Imputation Drives Cross-Domain Alignment for EEG Classification
Hongjun Liu, Chao Yao, Yalan Zhang +2
Electroencephalogram (EEG) signal classification faces significant challenges due to data distribution shifts caused by heterogeneous electrode configurations, acquisition protocol…
Isolating to Harness: Cross-Division Distillation for Fully Unsupervised Anomaly Detection
Xinyue Liu, Jianyuan Wang, Biao Leng +1
Fully Unsupervised Anomaly Detection (FUAD) addresses the practical scenario where training data is contaminated with unlabeled anomalies. This setting critically challenges conven…