Huan Liu

Cloud Information Retrieval: Model Description and Scheme Design

2018 · IEEE Access

The fast development of cloud technology has brought about a new trend in the field of information service: more and more information is being transferred to the cloud as requested. However, the data, such as …

Applications of Social Media in Hydroinformatics: A Survey

2019 · arXiv (Cornell University)

Floods of research and practical applications employ social media data for a wide range of public applications, including environmental monitoring, water resource managing, disaster and emergency response.Hydroinformatics can benefit from the social media technologies with …

Evaluation Methods and Measures for Causal Learning Algorithms

2022 · arXiv (Cornell University)

The convenient access to copious multi-faceted data has encouraged machine learning researchers to reconsider correlation-based learning and embrace the opportunity of causality-based learning, i.e., causal machine learning (causal learning). Recent years have therefore witnessed great …

Research on Global Education Artificial Intelligence Hotspots from the Perspective of Knowledge Graph

2023

In the past few years, there have been numerous applications of artificial intelligence (AI) within the realm of education, and “educational AI”, as a product of cross-fertilization between the fields of AI and learning sciences, …

A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization

2024 · arXiv (Cornell University)

We have witnessed lately a rapid proliferation of advanced Large Language Models (LLMs) capable of generating high-quality text. While these LLMs have revolutionized text generation across various domains, they also pose significant risks to the …

ConDA: Contrastive Domain Adaptation for AI-generated Text Detection

2023

Amrita Bhattacharjee, Tharindu Kumarage, Raha Moraffah, Huan Liu. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: …

Exploring Large Language Models for Feature Selection: A Data-centric Perspective

2024 · arXiv (Cornell University)

The rapid advancement of Large Language Models (LLMs) has significantly influenced various domains, leveraging their exceptional few-shot and zero-shot learning capabilities. In this work, we aim to explore and understand the LLMs-based feature selection methods …

Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering

2024

Ambiguity in natural language poses significant challenges to Large Language Models (LLMs) used for open-domain question answering. LLMs often struggle with the inherent uncertainties of human communication, leading to misinterpretations, miscommunications, hallucinations, and biased responses. …

Content-Aware Point of Interest Recommendation on Location-Based Social Networks

2015 · Proceedings of the AAAI Conference on Artificial Intelligence

The rapid urban expansion has greatly extended the physical boundary of users' living area and developed a large number of POIs (points of interest). POI recommendation is a task that facilitates users' urban exploration and …

Recommendation with Social Dimensions

2016 · Proceedings of the AAAI Conference on Artificial Intelligence

The pervasive presence of social media greatly enriches online users' social activities, resulting in abundant social relations. Social relations provide an independent source for recommendation, bringing about new opportunities for recommender systems. Exploiting social relations …

What Your Images Reveal

2017

The rapid growth of Location-based Social Networks (LBSNs) provides a vast amount of check-in data, which facilitates the study of point-of-interest (POI) recommendation. The majority of the existing POI recommendation methods focus on four aspects, …