IJCAI 2024

1,048 papers

KALE: An Artwork Image Captioning System Augmented with Heterogeneous Graph

Yanbei Jiang, Krista A. Ehinger, Jey Han Lau

GEM: Generating Engaging Multimodal Content

Chongyang Gao, Yiren Jian, Natalia Denisenko, Soroush Vosoughi, V. S. Subrahmanian

Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models

Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang

Manipulating Embeddings of Stable Diffusion Prompts

Niklas Deckers, Julia Peters, Martin Potthast

Large Language Models for Human-AI Co-Creation of Robotic Dance Performances

Allegra De Filippo, Michela Milano

FastSAG: Towards Fast Non-Autoregressive Singing Accompaniment Generation

Jianyi Chen, Wei Xue, Xu Tan, Zhen Ye, Qifeng Liu

Re:Draw - Context Aware Translation as a Controllable Method for Artistic Production

João Libório Cardoso, Francesco Banterle, Paolo Cignoni, Michael Wimmer

Intertwining CP and NLP: The Generation of Unreasonably Constrained Sentences

Alexandre Bonlarron, Jean-Charles Régin

Integrating View Conditions for Image Synthesis

Jinbin Bai, Zhen Dong, Aosong Feng, Xiao Zhang, Tian Ye

Effective High-order Graph Representation Learning for Credit Card Fraud Detection

Yao Zou, Dawei Cheng

Safeguarding Sustainable Cities: Unsupervised Video Anomaly Detection through Diffusion-based Latent Pattern Learning

Menghao Zhang, Jingyu Wang, Qi Qi, Pengfei Ren, Haifeng Sun

DeepLight: Reconstructing High-Resolution Observations of Nighttime Light With Multi-Modal Remote Sensing Data

Lixian Zhang, Runmin Dong, Shuai Yuan, Jinxiao Zhang, Mengxuan Chen

Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach

Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong

Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights

Zijie Zeng, Shiqi Liu, Lele Sha, Zhuang Li, Kaixun Yang

MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning

Xixian Yong, Xiao Zhou

LEEC for Judicial Fairness: A Legal Element Extraction Dataset with Extensive Extra-Legal Labels

Zongyue Xue, Huanghai Liu, Yiran Hu, Yuliang Qian, Yajing Wang

CGAP: Urban Region Representation Learning with Coarsened Graph Attention Pooling

Zhuo Xu, Xiao Zhou

From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas

Yanxin Xi, Yu Liu, Zhicheng Liu, Sasu Tarkoma, Pan Hui

Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach

Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu

Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds

Jiageng Wu, Xian Wu, jie Yang

Fuel-Saving Route Planning with Data-Driven and Learning-Based Approaches – A Systematic Solution for Harbor Tugs

Shengming Wang, Xiaocai Zhang, Jing Li, Xiaoyang Wei, Hoong Chuin Lau

A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction

Nguyen Thach, Patrick Habecker, Bergen Johnston, Lillianna Cervantes, Anika Eisenbraun

SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for Sexual Education in Rural India

Salam Michael Singh, Shubhmoy Kumar Garg, Amitesh Misra, Aaditeshwar Seth, Tanmoy Chakraborty

Self-Supervised Vision for Climate Downscaling

Karandeep Singh, Chaeyoon Jeong, Naufal Shidqi, Sungwon Park, Arjun Nellikkattil

From Pink and Blue to a Rainbow Hue! Defying Gender Bias through Gender Neutralizing Text Transformations

Gopendra Vikram Singh, Soumitra Ghosh, Neil Dcruze, Asif Ekbal

Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation

Riyad Bin Rafiq, Weishi Shi, Mark V. Albert

Deploying Mobility-On-Demand for All by Optimizing Paratransit Services

Sophie Pavia, David Rogers, Amutheezan Sivagnanam, Michael Wilbur, Danushka Edirimanna

Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health

Mira Moukheiber, Lama Moukheiber, Dana Moukheiber, Hyung-Chul Lee

Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method

Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano

Domain Adaptation with Joint Loss for Consistent Regression and Ordinal Classification in the Proxy Means Test for Poverty Targeting

Siti Mariyah, Wayne Wobcke

Understanding Public Perception Towards Weather Disasters Through the Lens of Metaphor

Rui Mao, Qika Lin, Qiawen Liu, Gianmarco Mengaldo, Erik Cambria

RisQNet: Rescuing SMEs from Financial Shocks with a Novel Networked-Loan Risk Assessment

Zhaoyuan Lu, Taijun Li, Jingzhen Zhang, Moyang Liu, Xiang Li

Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding

Weizhen Liu, Jiayu Tan, Guangyu Lan, Ao Li, Dongye Li

Revealing Hierarchical Structure of Leaf Venations in Plant Science via Label-Efficient Segmentation: Dataset and Method

Weizhen Liu, Ao Li, Ze Wu, Yue Li, Baobin Ge

Drug Overdose Vital-Signs Evaluator Using Machine Learning

Anush Niranjan Lingamoorthy, Abhishek Kumar Mishra, Suman Kumar, David Gordon, Jacob Brenner

Long-term Detection and Monitory of Chinese Urban Village Using Satellite Imagery

Yuming Lin, Xin Zhang, Yu Liu, Zhenyu Han, Qingmin Liao

Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach

ChungYi Lin, Shen-Lung Tung, Hung-Ting Su, Winston H. Hsu

CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving

Haicheng Liao, Xuelin Li, Yongkang Li, Hanlin Kong, Chengyue Wang

Predicting Housing Transaction with Common Covariance GNNs

JinJin Li, Bin Liu, Chengyan Liu, Hongli Zhang

Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme

Yun Sing Koh, Albert Bifet, Karin Bryan, Guilherme Cassales, Olivier Graffeuille

A Survival Guide for Iranian Women Prescribed by Iranian Women: Participatory AI to Investigate Intimate Partner Physical Violence in Iran

Adel Khorramrouz, Mahbeigom Fayyazi, Ashiqur R. KhudaBukhsh

Energy-Efficient Missing Data Imputation in Wearable Health Applications: A Classifier-aware Statistical Approach

Dina Hussein, Taha Belkhouja, Ganapati Bhat, Janardhan Rao Doppa

Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach

Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz Lehmann

ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use

Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara Coughlin, Erin Bonar

Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach

Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Ananth Kalyanaraman

Spatio-Temporal Field Neural Networks for Air Quality Inference

Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong

A Teacher Classroom Dress Assessment Method Based on a New Assessment Dataset

Ming Fang, Qi Liu, Yunpeng Zhou, Xinning Du, Qiwen Liang

Down the Toxicity Rabbit Hole: A Framework to Bias Audit Large Language Models with Key Emphasis on Racism, Antisemitism, and Misogyny

Arka Dutta, Adel Khorramrouz, Sujan Dutta, Ashiqur R. KhudaBukhsh

For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name Gender Prediction

Xiaocong Du, Haipeng Zhang

FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection

Jiaee Cheong, Sinan Kalkan, Hatice Gunes

An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding

Renqi Chen, Wenwei Han, Haohao Zhang, Haoyang Su, Zhefan Wang

VulnerabilityMap: An Open Framework for Mapping Vulnerability among Urban Disadvantaged Populations in the United States

Lin Chen, Yong Li, Pan Hui

Fitness Activity Recognition Using a Novel Pressure Sensing Mat and Machine Learning for the Future of Accessible Training

Katia Bourahmoune, Karlos Ishac, Marc Carmichael

Functional Graph Convolutional Networks: A Unified Multi-task and Multi-modal Learning Framework to Facilitate Health and Social-Care Insights

Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Cécile Rousseau, Alessandra Pascale

Empathy and AI: Achieving Equitable Microtransit for Underserved Communities

Eleni Bardaka, Pascal Van Hentenryck, Crystal Chen Lee, Christopher B. Mayhorn, Kai Monast

Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction

Tianshu Bao, Taylor Thomas Johnson, Xiaowei Jia

Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa

Victor Akinwande, Megan MacGregor, Celia Cintas, Ehud Karavani, Dennis Wei

Automated Essay Scoring Using Discourse External Knowledge

Nisrine Ait Khayi, Vasile Rus

CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention

Hua Zhu, Hong Huang, Kehan Yin, Zejun Fan, Hai Jin

Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference

Haruka Yoshida, manabu kuroki

Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks

Nikita Kotelevskii, Samuel Horváth, Karthik Nandakumar, Martin Takac, Maxim Panov

Online Learning of Capacity-Based Preference Models

Margot Herin, Patrice Perny, Nataliya Sokolovska

Individual Causal Structure Learning from Population Data

Wei Chen, Xiaokai Huang, Zijian Li, Ruichu Cai, Zhiyi Huang

Anytime Sorting Algorithms

Emma Caizergues, François Durand, Fabien Mathieu

A New Paradigm for Counterfactual Reasoning in Fairness and Recourse

Lucius E.J. Bynum, Joshua R. Loftus, Julia Stoyanovich

Improved Evolutionary Algorithms for Submodular Maximization with Cost Constraints

Yanhui Zhu, Samik Basu, A. Pavan

Practical Anytime Algorithms for Judicious Partitioning of Active Directory Attack Graphs

Yumeng Zhang, Max Ward, Hung Nguyen

Online Submodular Maximization via Adaptive Thresholds

Zhengchen Yang, Jiping Zheng

Exactly Solving Minimum Dominating Set and Its Generalization

Ziliang Xiong, Mingyu Xiao

A Swap Relaxation-Based Local Search for the Latin Square Completion Problem

Zhenxuan Xie, Zhipeng Lü, Zhouxing Su, Chu-Min Li, Junwen Ding

ReinforceNS: Reinforcement Learning-based Multi-start Neighborhood Search for Solving the Traveling Thief Problem

Tao Wu, Huachao Cui, Tao Guan, Yuesong Wang, Yan Jin

Nukplex: An Efficient Local Search Algorithm for Maximum K-Plex Problem

Rui Sun, Yiyuan Wang, Shimao Wang, Hui Li, Ximing Li

Theoretical Study on Multi-objective Heuristic Search

Shawn Skyler, Shahaf Shperberg, Dor Atzmon, Ariel Felner, Oren Salzman

Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization

Shengjie Ren, Zhijia Qiu, Chao Bian, Miqing Li, Chao Qian

Expected Work Search: Combining Win Rate and Proof Size Estimation

Owen Randall, Martin Müller, Ting-Han Wei, Ryan Hayward

Quality-Diversity Algorithms Can Provably Be Helpful for Optimization

Chao Qian, Ke Xue, Ren-Jian Wang

Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search

Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog

Prompt Learning for Generalized Vehicle Routing

Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang

Peptide Vaccine Design by Evolutionary Multi-Objective Optimization

Dan-Xuan Liu, Yi-Heng Xu, Chao Qian

Cross-Problem Learning for Solving Vehicle Routing Problems

Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song

ParaILP: A Parallel Local Search Framework for Integer Linear Programming with Cooperative Evolution Mechanism

Peng Lin, Mengchuan Zou, Zhihan Chen, Shaowei Cai

Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms

Per Kristian Lehre, Shishen Lin

MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization

Andoni I. Garmendia, Quentin Cappart, Josu Ceberio, Alexander Mendiburu

Feedback-Based Adaptive Crossover-Rate in Evolutionary Computation

Xiaoyuan Guan, Tianyi Yang, Chunliang Zhao, Yuren Zhou

Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy

Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian

An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms

Chao Bian, Shengjie Ren, Miqing Li, Chao Qian

ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action Spaces

Libing Yang, Yang Li, Long Chen

MAS-SAM: Segment Any Marine Animal with Aggregated Features

Tianyu Yan, Zifu Wan, Xinhao Deng, Pingping Zhang, Yang Liu

DVPE: Divided View Position Embedding for Multi-View 3D Object Detection

Jiasen Wang, Zhenglin Li, Ke Sun, Xianyuan Liu, Yang Zhou

A New Guaranteed Outlier Removal Method Based on Plane Constraints for Large-Scale LiDAR Point Cloud Registration

Gang Ma, Hui Wei, Runfeng Lin, Jialiang Wu

RealDex: Towards Human-like Grasping for Robotic Dexterous Hand

Yumeng Liu, Yaxun Yang, Youzhuo Wang, Xiaofei Wu, Jiamin Wang

HVOFusion: Incremental Mesh Reconstruction Using Hybrid Voxel Octree

Shaofan Liu, Junbo Chen, Jianke Zhu

Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation

Haicheng Liao, Chengyue Wang, Zhenning Li, Yongkang Li, Bonan Wang

Integrating Intent Understanding and Optimal Behavior Planning for Behavior Tree Generation from Human Instructions

Xinglin Chen, Yishuai Cai, Yunxin Mao, Minglong Li, Wenjing Yang

Zeta*-SIPP: Improved Time-Optimal Any-Angle Safe-Interval Path Planning

Yiyuan Zou, Clark Borst

A Better Approximation for Bipartite Traveling Tournament in Inter-League Sports Scheduling

Jingyang Zhao, Mingyu Xiao

Improved Approximation Algorithms for Capacitated Location Routing

Jingyang Zhao, Mingyu Xiao, Shunwang Wang

Laying the Foundations for Solving FOND HTN Problems: Grounding, Search, Heuristics (and Benchmark Problems)

Mohammad Yousefi, Pascal Bercher

Scalable Landmark Hub Labeling for Optimal and Bounded Suboptimal Pathfinding

Sabine Storandt

Information-Theoretic Opacity-Enforcement in Markov Decision Processes

Chongyang Shi, Yuheng Bu, Jie Fu