Lu Cheng
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View article: Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media
Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Open
Clinical trials (CT) are essential for advancing medical research and treatment, yet efficiently recruiting eligible participants -- each of whom must meet complex eligibility criteria -- remains a significant challenge. Traditional recrui…
View article: Improved WOA-DBSCAN Online Clustering Algorithm for Radar Signal Data Streams
Improved WOA-DBSCAN Online Clustering Algorithm for Radar Signal Data Streams Open
For the pulsed data streams emitted by multiple signal sources that generate aliasing, traditional density clustering algorithms have the problems of poor clustering effect, heavy reliance on manual experience to set the parameters, and th…
View article: Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey
Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey Open
Large Language Models (LLMs) have achieved unparalleled success across diverse language modeling tasks in recent years. However, this progress has also intensified ethical concerns, impacting the deployment of LLMs in everyday contexts. Th…
View article: DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models
DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models Open
Pre-trained language models (PLMs) have achieved impressive results on various natural language processing tasks. However, recent research has revealed that these models often rely on superficial features and shortcuts instead of developin…
View article: Evaluating LLMs Capabilities Towards Understanding Social Dynamics
Evaluating LLMs Capabilities Towards Understanding Social Dynamics Open
Social media discourse involves people from different backgrounds, beliefs, and motives. Thus, often such discourse can devolve into toxic interactions. Generative Models, such as Llama and ChatGPT, have recently exploded in popularity due…
View article: Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey Open
Large Language Models (LLMs) have achieved unparalleled success across diverse language modeling tasks in recent years. However, this progress has also intensified ethical concerns, impacting the deployment of LLMs in everyday contexts. Th…
View article: AI Driven Online Advertising: Market Design, Generative AI, and Ethics
AI Driven Online Advertising: Market Design, Generative AI, and Ethics Open
Online advertising contributes a considerable part of the tech sector's revenue, and has been remarkably influencing the public agenda. With evolving developments, AI is playing an increasingly significant role in online advertising. We pr…
View article: Fair Few-Shot Learning with Auxiliary Sets
Fair Few-Shot Learning with Auxiliary Sets Open
Recently, there has been a growing interest in developing machine learning (ML) models that can promote fairness, i.e., eliminating biased predictions towards certain populations (e.g., individuals from a specific demographic group). Most …
View article: A Simple, interpretable method to identify surprising topic shifts in scientific fields
A Simple, interpretable method to identify surprising topic shifts in scientific fields Open
This paper proposes a text-mining framework to systematically identify vanishing or newly formed topics in highly interdisciplinary and diverse fields like cognitive science. We apply topic modeling via non-negative matrix factorization to…
View article: The Impact of COVID-19 Control Measures on Air Quality in Guangdong Province
The Impact of COVID-19 Control Measures on Air Quality in Guangdong Province Open
COVID-19 control measures had a significant social and economic impact in Guangdong Province, and provided a unique opportunity to assess the impact of human activities on air quality. Based on the monitoring data of PM2.5, PM10, NO2, and …
View article: In-situ laser-induced surface damage inspection based on image super-resolution and adaptive segmentation method
In-situ laser-induced surface damage inspection based on image super-resolution and adaptive segmentation method Open
In-situ laser-induced surface damage inspection plays a key role in protecting the large aperture optics in an inertial confinement fusion (ICF) high-power laser facility. In order to improve the initial damage detection capabilities, an i…
View article: Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication Open
Online review systems are the primary means through which many businesses seek to build the brand and spread their messages. Prior research studying the effects of online reviews has been mainly focused on a single numerical cause, e.g., r…
View article: Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Open
In the current era, people and society have grown increasingly reliant on artificial intelligence (AI) technologies. AI has the potential to drive us towards a future in which all of humanity flourishes. It also comes with substantial risk…
View article: Causal Understanding of Fake News Dissemination on Social Media
Causal Understanding of Fake News Dissemination on Social Media Open
Recent years have witnessed remarkable progress towards computational fake\nnews detection. To mitigate its negative impact, we argue that it is critical\nto understand what user attributes potentially cause users to share fake news.\nThe …
View article: Causal Learning for Socially Responsible AI
Causal Learning for Socially Responsible AI Open
There have been increasing concerns about Artificial Intelligence (AI) due to its unfathomable potential power. To make AI address ethical challenges and shun undesirable outcomes, researchers proposed to develop socially responsible AI (S…
View article: Causal Learning for Socially Responsible AI
Causal Learning for Socially Responsible AI Open
There have been increasing concerns about Artificial Intelligence (AI) due to its unfathomable potential power. To make AI address ethical challenges and shun undesirable outcomes, researchers proposed to develop socially responsible AI (S…
View article: Improving Cyberbullying Detection with User Interaction
Improving Cyberbullying Detection with User Interaction Open
Cyberbullying, identified as intended and repeated online bullying behavior,\nhas become increasingly prevalent in the past few decades. Despite the\nsignificant progress made thus far, the focus of most existing work on\ncyberbullying det…
View article: Automated Meta-Analysis: A Causal Learning Perspective
Automated Meta-Analysis: A Causal Learning Perspective Open
Meta-analysis is a systematic approach for understanding a phenomenon by analyzing the results of many previously published experimental studies. It is central to deriving conclusions about the summary effect of treatments and intervention…
View article: Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks
Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks Open
Cyberbullying is rapidly becoming one of the most serious online risks for adolescents. This has motivated work on machine learning methods to automate the process of cyberbullying detection, which have so far mostly viewed cyberbullying a…
View article: Causal Mediation Analysis with Hidden Confounders
Causal Mediation Analysis with Hidden Confounders Open
An important problem in causal inference is to break down the total effect of a treatment on an outcome into different causal pathways and to quantify the causal effect in each pathway. For instance, in causal fairness, the total effect of…
View article: Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Open
In the current era, people and society have grown increasingly reliant on artificial intelligence (AI) technologies. AI has the potential to drive us towards a future in which all of humanity flourishes. It also comes with substantial risk…
View article: Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach Open
Lu Cheng, Ahmadreza Mosallanezhad, Yasin Silva, Deborah Hall, Huan Liu. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Vol…
View article: Towards Causal Understanding of Fake News Dissemination.
Towards Causal Understanding of Fake News Dissemination. Open
Recent years have witnessed remarkable progress made towards the computational detection of fake news. To mitigate its negative impact, however, we argue that a critical element is to understand people spread fake news. Central to the que…