484 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shandong Academy of SciencesCN58 papers
- Shandong UniversityCN15 papers
- Shandong Normal UniversityCN13 papers
- National University of SingaporeSG9 papers
- University of MacauMO8 papers
- Changchun Institute of TechnologyCN7 papers
- Institute of Oceanographic InstrumentationCN7 papers
- Deakin UniversityAU6 papers
- Shandong University of Finance and EconomicsCN6 papers
- Chinese Academy of SciencesCN5 papers
- Monash UniversityAU5 papers
- Northeast Electric Power UniversityCN5 papers
96 papers
FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion
Lei Guo, Ting Yang, Xu Yu +3
As user behavior data becomes increasingly scattered across different platforms, achieving cross-domain knowledge fusion while preserving privacy has become a critical issue in rec…
Multimodal Industrial Anomaly Detection via Geometric Prior
Min Li, Jinghui He, Gang Li +3
The purpose of multimodal industrial anomaly detection is to detect complex geometric shape defects such as subtle surface deformations and irregular contours that are difficult to…
Word Frequency Counting Based on Serverless MapReduce
Hanzhe Li, Bingchen Lin, Mengyuan Xu
With the increasing demand for high-performance and high-efficiency computing, cloud computing, especially serverless computing, has gradually become a research hotspot in recent y…
The Eminence in Shadow: Exploiting Feature Boundary Ambiguity for Robust Backdoor Attacks
Zhou Feng, Jiahao Chen, Chunyi Zhou +5
Deep neural networks (DNNs) underpin critical applications yet remain vulnerable to backdoor attacks, typically reliant on heuristic brute-force methods. Despite significant empiri…
Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-Domain Recommendation
Lei Guo, Chenlong Song, Feng Guo +3
Non-overlapping Cross-domain Sequential Recommendation (NCSR) is the task that focuses on domain knowledge transfer without overlapping entities. Compared with traditional Cross-do…
Asymptotics of the partition function of the perturbed Gross-Witten-Wadia unitary matrix model
Yu Chen, Shuai-Xia Xu, Yu-Qiu Zhao
We consider the asymptotics of the partition function of the extended Gross-Witten-Wadia unitary matrix model by introducing an extra logarithmic term in the potential. The partiti…
Numerical reconstructions of a source term in a mobile-immobile diffusion model from the partial interior observation
Zhiwei Yang, Yikan Liu
We consider an inverse source problem in the two-time-scale mobile-immobile fractional diffusion model from partial interior observation. Theoretically, we combine the fractional D…
The Causal Impact of Dean's List Recognition on Academic Performance: Evidence from a Regression Discontinuity Design
Luc, Chen
This study examines the causal impact of being placed on the Dean's List, a positive education incentive, on future student performance using a regression discontinuity design. The…
An Efficient Outlier Detection Algorithm for Data Streaming
Rui Hu, Luc, Chen +1
The nature of modern data is increasingly real-time, making outlier detection crucial in any data-related field, such as finance for fraud detection and healthcare for monitoring p…
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing
Yule Liu, Zhiyuan Zhong, Yifan Liao +8
The rising popularity of large language models (LLMs) has raised concerns about machine-generated text (MGT), particularly in academic settings, where issues like plagiarism and mi…
LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks
Tianyi Wang, Mengxiao Huang, Harry Cheng +2
Deepfake facial manipulation has garnered significant public attention due to its impacts on enhancing human experiences and posing privacy threats. Despite numerous passive algori…
BianCang: A Traditional Chinese Medicine Large Language Model
Sibo Wei, Xueping Peng, Yi-Fei Wang +8
The surge of large language models (LLMs) has driven significant progress in medical applications, including traditional Chinese medicine (TCM). However, current medical LLMs strug…
DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation
Jiong Zhang, Qihang Xie, Lei Mou +6
Cerebrovascular diseases (CVDs) remain a leading cause of global disability and mortality. Digital Subtraction Angiography (DSA) sequences, recognized as the gold standard for diag…
FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy, Minimal Failure, and Enhanced Quality
Biwei Yan, Hongliang Zhang, Minghui Xu +2
Federated learning is a powerful technique that enables collaborative learning among different clients. Prototype-based federated learning is a specific approach that improves the…
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning
Haozhi Gao, Qianqian Ren, Jinbao Li
Contrastive representation learning is crucial in time series analysis as it alleviates the issue of data noise and incompleteness as well as sparsity of supervision signal. Howeve…
Discovery and Timing of Millisecond Pulsars in the Globular Cluster M5 (NGC 5904) with FAST and Arecibo
Lei Zhang, Paulo C. C. Freire, Alessandro Ridolfi +29
We report on a comprehensive multi-wavelength study of the pulsars in the globular cluster (GC) M5, including the discovery of M5G, a new compact non-eclipsing "black widow" pulsar…
Segment Anything Model is a Good Teacher for Local Feature Learning
Jingqian Wu, Rongtao Xu, Zach Wood-Doughty +3
Local feature detection and description play an important role in many computer vision tasks, which are designed to detect and describe keypoints in "any scene" and "any downstream…
Three-dimensional Turbulent Reconnection within Solar Flare Current Sheet
Yulei Wang, Xin Cheng, Mingde Ding +3
Solar flares can release coronal magnetic energy explosively and may impact the safety of near-earth space environments. Their structures and properties on macroscale have been int…
Image encryption for Offshore wind power based on 2D-LCLM and Zhou Yi Eight Trigrams
Lei Kou, Jinbo Wu, Fangfang Zhang +6
Offshore wind power is an important part of the new power system, due to the complex and changing situation at ocean, its normal operation and maintenance cannot be done without in…
Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach
Zhongwei Zhan, Yingjie Wang, Peiyong Duan +6
Collaborative Mobile Crowdsourcing (CMCS) allows platforms to recruit worker teams to collaboratively execute complex sensing tasks. The efficiency of such collaborations could be…
Ultrafast and Electrically Tunable Rabi Frequency in a Germanium Hut Wire Hole Spin Qubit
He Liu, Ke Wang, Fei Gao +9
Hole spin qubits based on germanium (Ge) have strong tunable spin orbit interaction (SOI) and ultrafast qubit operation speed. Here we report that the Rabi frequency (f_Rabi) of a…
Medical Question Summarization with Entity-driven Contrastive Learning
Wenpeng Lu, Sibo Wei, Xueping Peng +3
By summarizing longer consumer health questions into shorter and essential ones, medical question-answering systems can more accurately understand consumer intentions and retrieve…
Multi-Behavior Recommendation with Cascading Graph Convolution Networks
Zhiyong Cheng, Sai Han, Fan Liu +3
Multi-behavior recommendation, which exploits auxiliary behaviors (e.g., click and cart) to help predict users' potential interactions on the target behavior (e.g., buy), is regard…
Hybrid Variational Autoencoder for Time Series Forecasting
Borui Cai, Shuiqiao Yang, Longxiang Gao +1
Variational autoencoders (VAE) are powerful generative models that learn the latent representations of input data as random variables. Recent studies show that VAE can flexibly lea…