337 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN7 papers
- Beijing Normal UniversityCN4 papers
- Central University of Finance and EconomicsCN4 papers
- Peking UniversityCN4 papers
- Renmin University of ChinaCN4 papers
- Tohoku UniversityJP4 papers
- Beihang UniversityCN3 papers
- The University of Texas at San AntonioUS3 papers
- Academy of Mathematics and Systems ScienceCN2 papers
- Beijing University of Chemical TechnologyCN2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Hong Kong University of Science and TechnologyHK2 papers
54 papers
PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID
Xiao Wang, Sean MacAvaney, Craig Macdonald
Multi-vector dense retrieval models, such as ColBERT, achieve strong retrieval effectiveness by modelling fine-grained token-level interactions between queries and documents. Metho…
The Jade Gateway to Trust: Exploring How Socio-Cultural Perspectives Shape Trust Within Chinese NFT Communities
Yi-Fan Cao, Reza Hadi Mogavi, Meng Xia +6
Today's world is witnessing an unparalleled rate of technological transformation. The emergence of non-fungible tokens (NFTs) has transformed how we handle digital assets and value…
ZiGong 1.0: A Large Language Model for Financial Credit
Yu Lei, Zixuan Wang, Chu Liu +1
Large Language Models (LLMs) have demonstrated strong performance across various general Natural Language Processing (NLP) tasks. However, their effectiveness in financial credit a…
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling
Hao Zhou, Wenge Rong, Jianfei Zhang +3
Knowledge Tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant…
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
Junyu Luo, Zhiping Xiao, Yifan Wang +5
Graph neural networks (GNNs) have achieved impressive performance in graph domain adaptation. However, extensive source graphs could be unavailable in real-world scenarios due to p…
Estimating the Impact of Social Distance Policy in Mitigating COVID-19 Spread with Factor-Based Imputation Approach
Difang Huang, Ying Liang, Boyao Wu +1
We identify the effectiveness of social distancing policies in reducing the transmission of the COVID-19 spread. We build a model that measures the relative frequency and geographi…
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 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…
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
Zhang Xiong, Haoxuan Li, Zhuang Liu +4
Personalized education, tailored to individual student needs, leverages educational technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness…
Exploring consumers response to text-based chatbots in e-commerce: The moderating role of task complexity and chatbot disclosure
Xusen Cheng, Ying Bao, Alex Zarifis +2
Artificial intelligence based chatbots have brought unprecedented business potential. This study aims to explore consumers trust and response to a text-based chatbot in ecommerce,…
Collaborative consumption for low and high trust requiring business models: from fare sharing to supporting the elderly and people with disability
Alex Zarifis, Xusen Cheng, Julia Kroenung
This paper offers an overview of collaborative consumption (CC), the related business models (BM), the value added (VA) from the consumer's perspective and the role of trust. CC is…
An Experimental Study of Satisfaction Response: Evaluation of Online Collaborative Learning
Xusen Cheng, Xueyin Wang, Jianqing Huang +1
On the one hand, a growing amount of research discusses support for improving online collaborative learning quality, and many indicators are focused to assess its success. On the o…
From Bytes to Biases: Investigating the Cultural Self-Perception of Large Language Models
Wolfgang Messner, Tatum Greene, Josephine Matalone
Large language models (LLMs) are able to engage in natural-sounding conversations with humans, showcasing unprecedented capabilities for information retrieval and automated decisio…
Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach
Weicong Qin, Zelin Cao, Weijie Yu +3
Legal document retrieval and judgment prediction are crucial tasks in intelligent legal systems. In practice, determining whether two documents share the same judgments is essentia…
Conditioning Bienaym{é}-Galton-Watson trees to have large sub-populations
Romain Abraham, Hongwei Bi, Jean-François Delmas
We study the local limit in distribution of Bienaym{é}-Galton-Watson trees conditioned on having large sub-populations. Assuming a generic and aperiodic condition on the offspring…
R-Mixup: Riemannian Mixup for Biological Networks
Xuan Kan, Zimu Li, Hejie Cui +6
Biological networks are commonly used in biomedical and healthcare domains to effectively model the structure of complex biological systems with interactions linking biological ent…
Uncovering ChatGPT's Capabilities in Recommender Systems
Sunhao Dai, Ninglu Shao, Haiyuan Zhao +6
The debut of ChatGPT has recently attracted the attention of the natural language processing (NLP) community and beyond. Existing studies have demonstrated that ChatGPT shows signi…
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu +13
Graph representation learning aims to effectively encode high-dimensional sparse graph-structured data into low-dimensional dense vectors, which is a fundamental task that has been…
On Information About Covariance Parameters in Gaussian Matérn Random Fields
Victor De Oliveira, Zifei Han
The Matern family of covariance functions is currently the most commonly used for the analysis of geostatistical data due to its ability to describe different smoothness behaviors.…
A Study on the Power Parameter in Power Prior Bayesian Analysis
Zifei Han, Keying Ye, Min Wang
The power prior and its variations have been proven to be a useful class of informative priors in Bayesian inference due to their flexibility in incorporating the historical inform…
Approximate Reference Prior for Gaussian Random Fields
Victor De Oliveira, Zifei Han
Reference priors are theoretically attractive for the analysis of geostatistical data since they enable automatic Bayesian analysis and have desirable Bayesian and frequentist prop…
Maskin Meets Abreu and Matsushima
Yi-Chun Chen, Takashi Kunimoto, Yifei Sun +1
The theory of full implementation has been criticized for using integer/modulo games which admit no equilibrium (Jackson (1992)). To address the critique, we revisit the classical…
Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function
Kai Li, Bo Wang, Yingjie Tian +1
Numerous detection problems in computer vision, including road crack detection, suffer from exceedingly foreground-background imbalance. Fortunately, modification of loss function…