349 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN20 papers
- Shenzhen UniversityCN20 papers
- Texas A&M UniversityUS15 papers
- University of CambridgeGB13 papers
- Zhejiang UniversityCN12 papers
- Beihang UniversityCN11 papers
- Academy of Mathematics and Systems ScienceCN9 papers
- Korea Institute for Advanced StudyKR9 papers
- University of Science and Technology of ChinaCN8 papers
- Beijing Normal UniversityCN7 papers
- Peking UniversityCN7 papers
- Tsinghua UniversityCN7 papers
165 papers
Identification of quantum generative circuits with parallel quantum neural network
Zheping Wu, Xiaopeng Huang, Hengyue Jia +2
The rapid emergence of quantum technology has raised new challenges in distinguishing various quantum circuits of similar functions. In this work, we propose parallel quantum embed…
LLM-Powered Silent Bug Fuzzing in Deep Learning Libraries via Versatile and Controlled Bug Transfer
Kunpeng Zhang, Dongwei Xiao, Daoyuan Wu +5
Deep learning (DL) libraries are widely used in critical applications, where even subtle silent bugs can lead to serious consequences. While existing DL fuzzing techniques have mad…
SimRPD: Optimizing Recruitment Proactive Dialogue Agents through Simulator-Based Data Evaluation and Selection
Zhiyong Cao, Dunqiang Liu, Qi Dai +9
Task-oriented proactive dialogue agents play a pivotal role in recruitment, particularly for steering conversations towards specific business outcomes, such as acquiring social-med…
Noise-Aware and Dynamically Adaptive Federated Defense Framework for SAR Image Target Recognition
Yuchao Hou, Zixuan Zhang, Jie Wang +9
As a critical application of computational intelligence in remote sensing, deep learning-based synthetic aperture radar (SAR) image target recognition facilitates intelligent perce…
Design, Results and Industry Implications of the World's First Insurance Large Language Model Evaluation Benchmark
Hua Zhou, Bing Ma, Yufei Zhang +1
This paper comprehensively elaborates on the construction methodology, multi-dimensional evaluation system, and underlying design philosophy of CUFEInse v1.0. Adhering to the princ…
Integrated Multivariate Segmentation Tree for Heterogeneous Credit Data Analysis in Small- and Medium-Sized Enterprises
Lu Han, Xiuying Wang
Traditional decision tree models, which rely exclusively on numerical variables, often face challenges in handling high-dimensional data and are limited in their ability to incorpo…
LEANCODE: Understanding Models Better for Code Simplification of Pre-trained Large Language Models
Yan Wang, Ling Ding, Tien N Nguyen +2
Large Language Models for code often entail significant computational complexity, which grows significantly with the length of the input code sequence. We propose LeanCode for code…
On stochastic control problems with higher-order moments
Yike Wang, Jingzhen Liu, Alain Bensoussan +2
In this paper, we focus on a class of time-inconsistent stochastic control problems, where the objective function includes the mean and several higher-order central moments of the…
Quantum versatility in PageRank
Wei-Wei Zhang, Zheping Wu, Hengyue Jia +4
Quantum mechanics empowers the emergence of quantum advantages in various fields, including quantum algorithms. Quantum PageRank is a promising tool for a future quantum internet.…
Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models
Shuchen Meng, Andi Chen, Chihang Wang +5
Accurate exchange rate prediction is fundamental to financial stability and international trade, positioning it as a critical focus in economic and financial research. Traditional…
Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction
Yuan Gao, Rui Pan, Feng Li +2
Kernel smoothing is a widely used nonparametric method in modern statistical analysis. The problem of efficiently conducting kernel smoothing for a massive dataset on a distributed…
Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach
Haowei Ni, Shuchen Meng, Xupeng Chen +7
Accurate stock market predictions following earnings reports are crucial for investors. Traditional methods, particularly classical machine learning models, struggle with these pre…
MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation
Chao Ni, Liyu Shen, Xiaohu Yang +2
We constructed a newly large-scale and comprehensive C/C++ vulnerability dataset named MegaVul by crawling the Common Vulnerabilities and Exposures (CVE) database and CVE-related o…
Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers
Haowei Ni, Shuchen Meng, Xieming Geng +5
Cardiovascular disease (CVD) is a leading cause of death globally, necessitating precise forecasting models for monitoring vital signs like heart rate, blood pressure, and ECG. Tra…
Revolutionizing student course selection: Exploring the application prospects and challenges of blockchain token voting technology
Tiansu Hu, Yuzhao Song, Linjing Zhang +1
This paper explores the utilization of blockchain token voting technology in student course selection systems. The current course selection systems face various issues, which can b…
Estimating Contagion Mechanism in Global Equity Market with Time-Zone Effect
Boyao Wu, Difang Huang, Muzi Chen
This paper proposes a time-zone vector autoregression (VAR) model to investigate comovements in the global financial market. Analyzing daily data from 36 national equity markets, w…
Dynamic Analyses of Contagion Risk and Module Evolution on the SSE A-Shares Market Based on Minimum Information Entropy
Muzi Chen, Yuhang Wang, Boyao Wu +1
The interactive effect is significant in the Chinese stock market, exacerbating the abnormal market volatilities and risk contagion. Based on daily stock returns in the Shanghai St…
Dynamic Correlation of Market Connectivity, Risk Spillover and Abnormal Volatility in Stock Price
Muzi Chen, Nan Li, Lifen Zheng +2
The connectivity of stock markets reflects the information efficiency of capital markets and contributes to interior risk contagion and spillover effects. We compare Shanghai Stock…
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
Xuetong Li, Yuan Gao, Hong Chang +11
This paper presents a selective review of statistical computation methods for massive data analysis. A huge amount of statistical methods for massive data computation have been rap…
Quantifying the intrinsic randomness in sequential measurements
Xinjian Liu, Yukun Wang, Yunguang Han +1
In the standard Bell scenario, when making a local projective measurement on each system component, the amount of randomness generated is restricted. However, this limitation can b…
Strong convergence rates for a full discretization of stochastic wave equation with nonlinear damping
Meng Cai, David Cohen, Xiaojie Wang
The paper establishes the strong convergence rates of a spatio-temporal full discretization of the stochastic wave equation with nonlinear damping in dimension one and two. We disc…
An Attention-Guided and Wavelet-Constrained Generative Adversarial Network for Infrared and Visible Image Fusion
Xiaowen Liu, Renhua Wang, Hongtao Huo +2
The GAN-based infrared and visible image fusion methods have gained ever-increasing attention due to its effectiveness and superiority. However, the existing methods adopt the glob…
Measuring Systemic Risk: Common Factor Exposures and Tail Dependence Effects
Wan-Chien Chiu, Juan Ignacio Peña, Chih-Wei Wang
We model systemic risk using a common factor that accounts for market-wide shocks and a tail dependence factor that accounts for linkages among extreme stock returns. Specifically,…
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks
Pengyong Li, Jun Wang, Ziliang Li +6
Self-supervised learning has gradually emerged as a powerful technique for graph representation learning. However, transferable, generalizable, and robust representation learning o…