346 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shenzhen UniversityCN44 papers
- Chinese Academy of SciencesCN28 papers
- Southern University of Science and TechnologyCN19 papers
- Peking UniversityCN18 papers
- University of Chinese Academy of SciencesCN14 papers
- Tsinghua UniversityCN11 papers
- City University of Hong KongHK9 papers
- Institute of Applied Physics and Computational MathematicsCN9 papers
- Ping An (China)9 papers
- Shanxi UniversityCN8 papers
- Shenzhen Institutes of Advanced TechnologyCN8 papers
- University of Science and Technology of ChinaCN8 papers
31 papers · 1 filter
Thermal conductivities of monolayer graphene oxide from machine learning molecular dynamics simulations
Bohan Zhang, Biyuan Liu, Penghua Ying +6
Graphene oxide (GO) exhibits rich chemical heterogeneity that strongly influences its structural, thermal, and mechanical properties, yet quantitatively linking reduction chemistry…
Toward Efficient Testing of Graph Neural Networks via Test Input Prioritization
Lichen Yang, Qiang Wang, Zhonghao Yang +2
Graph Neural Networks (GNNs) have demonstrated remarkable efficacy in handling graph-structured data; however, they exhibit failures after deployment, which can cause severe conseq…
Atomically-precise synthesis and simultaneous integration of 2D transition metal dichalcogenides enabled by nano-confinement
Ce Bian, Yifan Zhao, Roger Guzman +15
Two-dimensional (2D) materials, such as graphene, transition metal dichalcogenides (TMDs), and hBN, exhibit intriguing properties that are sensitive to their atomic-scale structure…
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
Chaohua Yang, Dugang Liu, Shiwei Li +6
Multi-scenario multi-task recommendation (MSMTR) systems must address recommendation demands across diverse scenarios while simultaneously optimizing multiple objectives, such as c…
AutoFSM: A Multi-agent Framework for FSM Code Generation with IR and SystemC-Based Testing
Qiuming Luo, Yanming Lei, Kunzhong Wu +2
With the rapid advancement of large language models (LLMs) in code generation, their applications in hardware design are receiving growing attention. However, existing LLMs face se…
New record in optical gain and room-temperature nanolasers in multiple wavelengths in 2D ErOCl single crystals
Shipeng Yao, Hao Sun, Zhang Liang +5
Erbium-based materials have long been recognized for their important telecom-band applications, yet their widespread adoption in integrated optoelectronics has been hindered by two…
VDC-Agent: When Video Detailed Captioners Evolve Themselves via Agentic Self-Reflection
Qiang Wang, Xinyuan Gao, Yuhang He +5
Existing Video Detailed Captioning (VDC) methods predominantly rely on costly human annotations or distillation from powerful proprietary models, creating a dependency on external…
Semi-Peaucellier Linkage and Differential Mechanism for Linear Pinching and Self-Adaptive Grasping
Haokai Ding, Zhaohan Chen, Tao Yang +1
This paper presents the SP-Diff parallel gripper system, addressing the limited adaptability of conventional end-effectors in intelligent industrial automation. The proposed design…
BlockSDN-VC: A SDN-Based Virtual Coordinate-Enhanced Transaction Broadcast Framework for High-Performance Blockchains
Wenyang Jia, Jingjing Wang, Kai Lei
Modern blockchains need fast, reliable propagation to balance security and throughput. Virtual-coordinate methods speed dissemination but rely on slow iterative updates, leaving no…
Artificial ferroelectric-like hysteresis in antiferroelectrics with non-uniform disorder
Yi Zhang, Xinyu Zhang, Zihao Zheng +27
Antiferroelectrics exhibit unique double-hysteresis polarization loops, which have garnered significant attention due to their potential applications such as energy storage, electr…
STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation
Zhenye Yang, Jinpeng Chen, Huan Li +6
Conversational recommender systems (CRSs) aim to proactively capture user preferences through natural language dialogue and recommend high-quality items. To achieve this, CRS gathe…
CTR-Sink: Attention Sink for Language Models in Click-Through Rate Prediction
Zixuan Li, Binzong Geng, Jing Xiong +11
Click-Through Rate (CTR) prediction, a core task in recommendation systems, estimates user click likelihood using historical behavioral data. Modeling user behavior sequences as te…
Step-directed Epitaxy of Uni-directional Hexagonal Boron Nitride on Vicinal Ge(110)
Ju-Hyun Jung, Chao Zhao, Seong-Jun Yang +8
Insulating hexagonal boron nitride (hBN) films with precisely controlled thickness are ideal dielectric components to modulate various interfaces in electronic devices. To achieve…
LOVO: Efficient Complex Object Query in Large-Scale Video Datasets
Yuxin Liu, Yuezhang Peng, Hefeng Zhou +6
The widespread deployment of cameras has led to an exponential increase in video data, creating vast opportunities for applications such as traffic management and crime surveillanc…
Endoscopic Depth Estimation Based on Deep Learning: A Survey
Ke Niu, Zeyun Liu, Xue Feng +5
Endoscopic depth estimation is a critical technology for improving the safety and precision of minimally invasive surgery. It has attracted considerable attention from researchers…
Enhancement of Josephson Supercurrent in a -Junction state by Chiral Antiferromagnetism
Jin-Xing Hou, Hai-Peng Sun, Björn Trauzettel +1
Magnetic order typically disrupts superconductivity, reducing the supercurrent. Here, we show that chiral antiferromagnetism, with non-relativistic spin-split bands and distinctive…
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection
Hanzhe Liang, Jie Zhang, Tao Dai +3
Reconstruction-based methods have demonstrated very promising results for 3D anomaly detection. However, these methods face great challenges in handling high-precision point clouds…
Unleashing the Potential of All Test Samples: Mean-Shift Guided Test-Time Adaptation
Jizhou Han, Chenhao Ding, SongLin Dong +3
Visual-language models (VLMs) like CLIP exhibit strong generalization but struggle with distribution shifts at test time. Existing training-free test-time adaptation (TTA) methods…
Spatio-Temporal Representation Decoupling and Enhancement for Federated Instrument Segmentation in Surgical Videos
Zheng Fang, Xiaoming Qi, Chun-Mei Feng +3
Surgical instrument segmentation under Federated Learning (FL) is a promising direction, which enables multiple surgical sites to collaboratively train the model without centralizi…
SpikeSMOKE: Spiking Neural Networks for Monocular 3D Object Detection with Cross-Scale Gated Coding
Xuemei Chen, Huamin Wang, Jing Peng +4
With the wide application of 3D object detection in some fields such as autonomous driving, its energy consumption is constantly increasing, making the research on low-power consum…
All-electrically controlled spintronics in altermagnetic heterostructures
Pei-Hao Fu, Qianqian Lv, Yong Xu +3
The recent discovery of altermagnets, which exhibit spin splitting without net magnetization, opens new directions for spintronics beyond the limits of ferromagnets, antiferromagne…
CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language
Lin Zhong, Lingzhi Wang, Xu Yang +1
Large Language Models (LLMs) offer new opportunities for the next Point-Of-Interest (POI) prediction task, leveraging their capabilities in semantic understanding of POI trajectori…
Path Planning Algorithm Comparison Analysis for Wireless AUVs Energy Sharing System
Zhengji Feng, Hengxiang Chen, Liqun Chen +2
Autonomous underwater vehicles (AUVs) are increasingly used in marine research, military applications, and undersea exploration. However, their operational range is significantly a…
Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting
Fuyuan Lyu, Linfeng Du, Yunpeng Weng +6
Fund allocation has been an increasingly important problem in the financial domain. In reality, we aim to allocate the funds to buy certain assets within a certain future period. N…