AAAI 2025

3,486 papers

Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges

Chandan K Reddy, Parshin Shojaee

Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?

Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting

Towards Computational Foreseeability

Sarit Kraus, Kayla Boggess, Robert Kim, Bryan H. Choi, Lu Feng

Understanding Advertisements

Yi Feng, Chuanyi Li, Vincent Ng

SRDC: Semantics-based Ransomware Detection and Classification with LLM-assisted Pre-training

Ce Zhou, Yilun Liu, Weibin Meng, Shimin Tao, Weinan Tian

Adaptive Multi-Faceted Service Capabilities Co-Prediction for Nationwide Terminal Stations in Logistics

Shuxin Zhong, Kimberly Liu, Wenjun Lyu, Haotian Wang, Guang Wang

Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science

Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul Hanson, Yiqun Xie

Integrating Multi-Source Data for Long Sequence Precipitation Forecasting

Demin Yu, Wenzhi Feng, Kenghong Lin, Xutao Li, Yunming Ye

GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA Images

Ziyang Xu, Huangxuan Zhao, Wenyu Liu, Xinggang Wang

PUBLICSPEAK: Hearing the Public with a Probabilistic Framework

Tianliang Xu, Eva Maxfield Brown, Dustin Dwyer, Sabina Tomkins

Black-Box Optimization with Implicit Constraints for Public Policy

Wenqian Xing, Jungho Lee, Chong Liu, Shixiang Zhu

XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications

Tingsong Xiao, Zelin Xu, Wenchong He, Zhengkun Xiao, Yupu Zhang

Improving Community-Participated Patrol for Anti-Poaching

Yufei Wu, Yixuan Even Xu, Xuming Zhang, Duo Liu, Shibing Zhu

Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness

Zichong Wang, Zhibo Chu, Thang Viet Doan, Shaowei Wang, Yongkai Wu

VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints

Xinyu Wang, Lei Liu, Kang Chen, Tao Han, Bin Li

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks

Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu

Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy

Ron van Bree, Diego Marcos, Ioannis N. Athanasiadis

Large-Scale School Mapping Using Weakly Supervised Deep Learning for Universal School Connectivity

Isabelle Tingzon, Utku Can Ozturk, Ivan Dotu

DroughtSet: Understanding Drought Through Spatial-Temporal Learning

Xuwei Tan, Qian Zhao, Yanlan Liu, Xueru Zhang

iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback

Vinitra Swamy, Davide Romano, Bhargav Srinivasa Desikan, Oana-Maria Camburu, Tanja Käser

MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems

Elifnur Sunger, Yunus Bicer, Deniz Erdogmus, Tales Imbiriba

Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models

Joshua Strong, Qianhui Men, J. Alison Noble

Aligning Time-series by Local Trends: Applications in Public Health

Ajitesh Srivastava

Measuring Fine-Grained Urban Air Temperature with Satellite Imagery

Minhyuk Song, Sungwon Han, Seungeon Lee, Donghyun Ahn, Jihee Kim

DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets

Elena Sierra, Lauren E. Gillespie, Salim Soltani, Moises Exposito-Alonso, Teja Kattenborn

FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation

Jimeng Shi, Zeda Yin, Arturo Leon, Jayantha Obeysekera, Giri Narasimhan

A Denoising Pre-training Framework for Accelerating Novel Material Discovery

Shuaike Shen, Ke Liu, Muzhi Zhu, Hao Chen

SIDE: Socially Informed Drought Estimation Toward Understanding Societal Impact Dynamics of Environmental Crisis

Lanyu Shang, Bozhang Chen, Shiwei Liu, Yang Zhang, Ruohan Zong

GIST: Gear Type Identification by Spatiotemporal Trajectory Transformation for Monitoring Fisheries

Amir Yaghoubi Shahir, Tilemachos Charalampous, Mahsa Keramati, Fatemeh Movafagh, Uwe Glässer

Active Geospatial Search for Efficient Tenant Eviction Outreach

Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs

Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection

Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs

David Restrepo, Chenwei Wu, Zhengxu Tang, Zitao Shuai, Thao Nguyen Minh Phan

Predictive Modeling of Homeless Service Assignment: A Representation Learning Approach

Khandker Sadia Rahman, Charalampos Chelmis

ml4xcube: Machine Learning Toolkits for Earth System Data Cubes

Julia Peters, Anja Neumann, Marco Jaeger, Lukas Gienapp, Josefine Umlauft

CUPCase: Clinically Uncommon Patient Cases and Diagnoses Dataset

Oriel Perets, Ofir Ben Shoham, Nir Grinberg, Nadav Rappoport

Data-driven Precipitation Nowcasting Using Satellite Imagery

Young-Jae Park, Doyi Kim, Minseok Seo, Hae-Gon Jeon, Yeji Choi

Pioneering Explainable Video Fact-Checking with a New Dataset and Multi-role Multimodal Model Approach

Kaipeng Niu, Danni Xu, Bingjian Yang, Wenxuan Liu, Zheng Wang

MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer

Divyanshu Mishra, Pramit Saha, He Zhao, Netzahualcoyotl Hernandez-Cruz, Olga Patey

IOHunter: Graph Foundation Model to Uncover Online Information Operations

Marco Minici, Luca Luceri, Francesco Fabbri, Emilio Ferrara

TSGAN: Temporal Social Graph Attention Network for Aggressive Behavior Forecasting

Swapnil Mane, Suman Kundu, Rajesh Sharma

How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data

Ishaan Maitra, Raymond Lin, Eric Chen, Jon Donnelly, Sanja Scepanovic

UrbanWaste: In-the-Bin Dataset for Waste Disposal Inspection with Multi-Granularity Hierarchical Labels

Zhuoqi Ma, Zejun You, Yang Dong, Yukai Liu, Xiyue Gao

Dual-View Interaction-Aware Lane Change Prediction for Autonomous Driving

Yuhuan Lu, Zhen Zhang, Rufan Bai, Han Liu, Wei Wang

NaFV-Net: An Adversarial Four-view Network for Mammogram Classification

Feng Lu, Yuxiang Hou, Wei Li, Xiangying Yang, Haibo Zheng

Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection

Dingning Liu, Jinzhe Li, Haoyang Su, Bei Cui, Zhihui Wang

Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits

Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, Lucas Janson

Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages

Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ali Payani

KD-MSLRT: Lightweight Sign Language Recognition Model Based on Mediapipe and 3D to 1D Knowledge Distillation

Yulong Li, Bolin Ren, Ke Hu, Changyuan Liu, Zhengyong Jiang

FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation

Jinlin Li, Xintong Li, Xiao Zhou

Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes

Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto

Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation

Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad

VidSole: A Multimodal Dataset for Joint Kinetics Quantification and Disease Detection with Deep Learning

Archit Kambhamettu, Samantha Snyder, Maliheh Fakhar, Samuel Audia, Ross Miller

Pre-trained Behavioral Model for Malicious User Prediction on Social Platform

Meng Jiang, Wenjie Wang, Shaofeng Hu, Kaishen Ou, Zhenjing Zheng

Accessible, At-Home Detection of Parkinson’s Disease via Multi-Task Video Analysis

Md Saiful Islam, Tariq Adnan, Jan Freyberg, Sangwu Lee, Abdelrahman Abdelkader

Component-Level Segmentation for Oracle Bone Inscription Decipherment

Zhikai HU, Yiu-ming Cheung, Yonggang Zhang, Zhang Peiying, Tang Pui Ling

J&H: Evaluating the Robustness of Large Language Models Under Knowledge-Injection Attacks in Legal Domain

Yiran Hu, Huanghai Liu, Qingjing Chen, Ning Zheng, Chong Wang

Data Augmentation Approaches for Satellite Imagery

Laurel M. Hopkins, Weng-Keen Wong, Hannah Kerner, Fuxin Li, Rebecca A. Hutchinson

Cost-Aware Near-Optimal Policy Learning

Joy He-Yueya, Jonathan Lee, Matthew Jörke, Emma Brunskill

MotifGPL: Motif-Enhanced Graph Prototype Learning for Deciphering Urban Social Segregation

Tengfei He, Xiao Zhou

Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks

Erhu He, Declan Kutscher, Yiqun Xie, Jacob Zwart, Zhe Jiang

UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction

Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang

Enhancing Vision-Language Models with Morphological and Taxonomic Knowledge: Towards Coral Recognition for Ocean Health

Hongyong Han, Wei Wang, Gaowei Zhang, Mingjie Li, Yi Wang

The Pitfalls of “Security by Obscurity” and What They Mean for Transparent AI

Peter Hall, Olivia Mundahl, Sunoo Park

Optimizing Gene-Based Testing for Antibiotic Resistance Prediction

David Hagerman, Anna Johnning, Roman Naeem, Fredrik Kahl, Erik Kristiansson

Contextual Stochastic Optimization for School Desegregation Policymaking

Hongzhao Guan, Nabeel Gillani, Tyler Simko, Jasmine Mangat, Pascal Van Hentenryck

Constraint-aware Pareto Optimization for Tree-Structured Networks: Addressing Decarbonization Targets with Hydropower Expansion

Marc Grimson, Zhongdi Qu, Yue Mao, Aaron M Ferber, Felipe Siqueira Pacheco

Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data

Yunfan Gao, Yun Xiong, Zhongyuan Hu, Yiming Zhang, Meng Wang

PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification

Alek Fröhlich, Thiago Ramos, Gustavo Motta Cabello Dos Santos, Isabela Panzeri Carlotti Buzatto, Rafael Izbicki

Constraint Optimisation Approaches for Designing Group-Living Captive Breeding Programmes

Matthew Forshaw, Rachel Gray, Bridgett vonHoldt, Alexander Ochoa, Joshua M. Miller

A Spatio-temporal Cluster-aware Supervised Learning Framework for Predicting County-level Drug Overdose Deaths

Zixuan Feng, Qing Ye, Weijun Xie, Qiushi Chen

Multi-Scale Graph Learning for Anti-Sparse Downscaling

Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun

Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework

Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi

Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document Recognition

Thao Do, Dinh Phu Tran, An Vo, Daeyoung Kim

RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios?

Adrian de Wynter, Ishaan Watts, Tua Wongsangaroonsri, Minghui Zhang, Noura Farra

PrecipDiff: Leveraging Image Diffusion Models to Enhance Satellite-Based Precipitation Observations

Ting-Yu Dai, Hayato Ushijima-Mwesigwa

Optimizing Heat Alert Issuance with Reinforcement Learning

Ellen M. Considine, Rachel C. Nethery, Gregory A. Wellenius, Francesca Dominici, Mauricio Tec

Leveraging Computer Vision and Visual LLMs for Cost-Effective and Consistent Street Food Safety Assessment in Kolkata India

Alexey Chernikov, Klaus Ackermann, Caitlin Brown, Denni Tommasi

Uncertainty-aware Knowledge Tracing

Weihua Cheng, Hanwen Du, Chunxiao Li, Ersheng Ni, Liangdi Tan

Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation

Zirong Chen, Elizabeth Chason, Noah Mladenovski, Erin Wilson, Kristin Mullen

Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy

Khaoula Chehbouni, Martine De Cock, Gilles Caporossi, Afaf Taik, Reihaneh Rabbany

Learning Production Functions for Supply Chains with Graph Neural Networks

Serina Chang, Zhiyin Lin, Benjamin Yan, Swapnil Bembde, Qi Xiu

PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection

Tri Cao, Chengyu Huang, Yuexin Li, Wang Huilin, Amy He

FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring

Nikolaos Ioannis Bountos, Arthur Ouaknine, Ioannis Papoutsis, David Rolnick

Evaluating Index-based Treatment Allocation in Underresourced Communities

Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja

ScamNet: Toward Explainable Large Language Model-Based Fraudulent Shopping Website Detection

Marzieh Bitaab, Alireza Karimi, Zhuoer Lyu, Ahmadreza Mosallanezhad, Adam Oest

To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning

Hilmy Baja, Michiel Kallenberg, Ioannis N. Athanasiadis

Rethinking and Improving Student Learning and Forgetting Processes for Attention based Knowledge Tracing Models

Youheng Bai, Xueyi Li, Zitao Liu, Yaying Huang, Mi Tian

Dust-Mamba: An Efficient Dust Storm Detection Network with Multiple Data Sources

Cong Bai, Zhonghao Lin, Jinglin Zhang, Shengyong Chen

Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments

Tuka Alhanai, Adam Kasumovic, Mohammad M. Ghassemi, Aven Zitzelberger, Jessica M. Lundin

Dynamics-Based Feature Augmentation of Graph Neural Networks for Variant Emergence Prediction

Majd Al Aawar, Srikar Mutnuri, Mansooreh Montazerin, Ajitesh Srivastava

Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model

Kyeongjin Ahn, Sungwon Han, Sungwon Park, Jihee Kim, Sangyoon Park

Spatial Clustering of Citizen Science Data Improves Downstream Species Distribution Models

Nahian Ahmed, Mark Roth, Tyler A. Hallman, W. Douglas Robinson, Rebecca A. Hutchinson

Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback

Jiayi Zhou, Jiaming Ji, Josef Dai, Yaodong Yang

CALM: Curiosity-Driven Auditing for Large Language Models

Xiang Zheng, Longxiang Wang, Yi Liu, Xingjun Ma, Chao Shen

Aligning Large Language Models for Faithful Integrity Against Opposing Argument

Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua

Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting

Yun-Da Tsai, Ting-Yu Yen, Keng-Te Liao, Shou-De Lin

Measuring Error Alignment for Decision-Making Systems

Binxia Xu, Antonis Bikakis, Daniel F.O. Onah, Andreas Vlachidis, Luke Dickens

Evaluating Mathematical Reasoning Beyond Accuracy

Shijie Xia, Xuefeng Li, Yixin Liu, Tongshuang Wu, Pengfei Liu

IBAS:Imperceptible Backdoor Attacks in Split Learning with Limited Information

Peng Xi, Shaoliang Peng, Wenjuan Tang

DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately

Huiwen Wu, Deyi Zhang, Xiaohan Li, Xiaogang Xu, Jiafei Wu