IJCAI 2025

1,280 papers

What is Beneath Misogyny: Misogynous Memes Classification and Explanation

Kushal Kanwar, Dushyant Singh Chauhan, Gopendra Vikram Singh, Asif Ekbal

An Ethical Dataset from Real-World Interactions Between Users and Large Language Models

Masahiro Kaneko, Danushka Bollegala, Timothy Baldwin

REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLMs

Madhur Jindal, Saurabh Deshpande

Automating Intervention Discovery from Scientific Literature: A Progressive Ontology Prompting and Dual-LLM Framework

Yuting Hu, Dancheng Liu, Qingyun Wang, Charles Yu, Chenhui Xu

Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensing

Oishee Bintey Hoque, Nibir Chandra Mandal, Abhijin Adiga, Samarth Swarup, Sayjro Kossi Nouwakpo

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation

Oishee Bintey Hoque, Abhijin Adiga, Aniruddha Adiga, Siddharth Chaudhary, Madhav V. Marathe

Direct Estimation of Attenuation Information from Sinograms for Positron Emission Tomography Reconstruction

Prabath Hetti Mudiyanselage, Ruwan Tennakoon, John Thangarajah, Robert Ware, Jason Callahan

Weather Foundation Model Enhanced Decentralized Photovoltaic Power Forecasting Through Spatio-temporal Knowledge Distillation

Fang He, Jiaqi Fan, Yang Deng, Xiaoyang Zhang, Ka Tai Lau

Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs

Ziyu Ge, Yuhao Wu, Daniel Wai Kit Chin, Roy Ka-Wei Lee, Rui Cao

Detecting Illicit Massage Businesses by Leveraging Graph Machine Learning

Vasuki Garg, Osman Y. Özaltın, Maria E. Mayorga, Sherrie Bosisto

Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction

Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu

Towards a Bipartisan Understanding of Peace and Vicarious Interactions

Arka Dutta, Syed Mohammad Sualeh Ali, Usman Naseem, Ashiqur R. KhudaBukhsh

Denoised Attention and Question-Augmented Representations for Knowledge Tracing

Jiwei Deng, Youheng Bai, Mingliang Hou, Teng Guo, Zitao Liu

DeepShade: Enable Shade Simulation by Text-conditioned Image Generation

Longchao Da, Xiangrui Liu, Mithun Shivakoti, Thirulogasankar Pranav Kutralingam, Yezhou Yang

Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms

Kangning Cui, Rongkun Zhu, Manqi Wang, Wei Tang, Gregory D. Larsen

Towards the Terminator Economy: Assessing Job Exposure to AI Through LLMs

Emilio Colombo, Fabio Mercorio, Mario Mezzanzanica, Antonio Serino

LogiDebrief: A Signal-Temporal Logic Based Automated Debriefing Approach with Large Language Models Integration

Zirong Chen, Ziyan An, Jennifer Reynolds, Kristin Mullen, Stephen Maritini

Exploring Equity of Climate Policies Using Multi-Agent Multi-Objective Reinforcement Learning

Palok Biswas, Zuzanna Osika, Isidoro Tamassia, Adit Whorra, Jazmin Zatarain-Salazar

Recommender Systems for Democracy: Toward Adversarial Robustness in Voting Advice Applications

Frédéric Berdoz, Dustin Brunner, Yann Vonlanthen, Roger Wattenhofer

An Interactive Game-based Multi-Agent AI System for Children’s Social and Emotional Development

Shreya Banerjee, Soheil Saneei, Lisa Pham, Elliott Alexander Beaton, Henry Fordjour Ansah

MutationGuard: A Graph and Temporal-Spatial Neural Method for Detecting Mutation Telecommunication Fraud

Haitao Bai, Pinghui Wang, Ruofei Zhang, Ziyang Zhou, Juxiang Zeng

SHIELD: A Self-supervised, Silicosis-focused Hierarchical Imaging Framework for Occupational Lung Disease Diagnosis

Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa

Moral Compass: A Data-Driven Benchmark for Ethical Cognition in AI

Aisha Aijaz, Arnav Batra, Aryaan Bazaz, Srinath Srinivasa, Raghava Mutharaju

Agent-based Modeling Meets the Capability Approach for Human Development: Simulating Homelessness Policy-making

Alba Aguilera, Nardine Osman, Georgina Curto

Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning

Saugat Adhikari, Da Yan, Tianyang Wang, Landon Dyken, Sidharth Kumar

FLARE: A Framework for Stellar Flare Forecasting Using Stellar Physical Properties and Historical Records

Bingke Zhu, Xiaoxiao Wang, Minghui Jia, Yihan Tao, Xiao Kong

Transformer-based Reinforcement Learning for Net Ordering in Detailed Routing

Zhanwen Zhou, Hankz Hankui Zhuo, Jinghua Zhou, Wushao Wen

Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning

Wenyi Zhang, Renjun Jia, Yanhao Wang, Dawei Cheng, Minghao Zhao

Revisiting Continual Ultra-fine-grained Visual Recognition with Pre-trained Models

Pengcheng Zhang, Xiaohan Yu, Meiying Gu, Yuchen Wu, Yongsheng Gao

SSPNet: Leveraging Robust Medication Recommendation with History and Knowledge

Haodi Zhang, Jiawei Wen, Jiahong Li, Yuanfeng Song, Liang-Jie Zhang

Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks

Han Zhang, Yan Wang, Guanfeng Liu, Pengfei Ding, Huaxiong Wang

Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space

Yinghua Yao, Yuangang Pan, Xixian Chen

HygMap: Representing All Types of Map Entities via Heterogeneous Hypergraph

Yifan Yang, Jingyuan Wang, Xie Yu, Yibang Tang

KGCL: Knowledge-Enhanced Graph Contrastive Learning for Retrosynthesis Prediction Based on Molecular Graph Editing

Fengqin Yang, Dekui Zhao, Haoxuan Qiu, Yifei Li, Zhiguo Fu

Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiques

Xiaofei Xu, Xiuzhen Zhang, Ke Deng

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contributions for Molecular Odor Prediction

Hongxin Xie, Jiande Sun, Fanfu Xue, Zifei Han, Shanshan Feng

SpaceDet: A Large-scale Space-based Image Dataset and RSO Detection for Space Situational Awareness

Jiaping Xiao, Rangya Zhang, Yuhang Zhang, Lu Bai, Qianlei Jia

Learning Dynamical Coupled Operator For High-dimensional Black-box Partial Differential Equations

Yichi Wang, Tian Huang, Dandan Huang, Zhaohai Bai, Xuan Wang

Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis

Satyavrat Wagle, Akshay Malhotra, Shahab Hamidi-Rad, Aditya Sant, David J. Love

DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing

Lo Pang-Yun Ting, Yu-Hao Chiang, Yi-Tung Tsai, Hsu-Chao Lai, Kun-Ta Chuang

Map2Traj: Street Map Piloted Zero-shot Trajectory Generation Method for Wireless Network Optimization

Zhenyu Tao, Wei Xu, Xiaohu You

CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation

Yuki Tanaka, Ryuji Hashimoto, Takehiro Takayanagi, Zhe Piao, Yuri Murayama

Horae: A Domain-Agnostic Language for Automated Service Regulation

Yutao Sun, Mingshuai Chen, Tiancheng Zhao, Kangjia Zhao, He Li

COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement

Zhihao Sui, Liang Hu, Jian Cao, Usman Naseem, Zhongyuan Lai

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines

Chathurangi Shyalika, Renjith Prasad, Fadi El Kalach, Revathy Venkataramanan, Ramtin Zand

AI4TRT: Automatic Simulation of Teeth Restoration Treatment

Feihong Shen, Yuer Ye

MolHFCNet: Enhancing Molecular Graph Representations with Hierarchical Feature Combining and Hybrid Pretraining

Duy-Long Nguyen, Duc-Luong Ho-Viet, Anh-Thu Ngo-Tran, Quang H. Nguyen, Binh P. Nguyen

AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts

Maruf Ahmed Mridul, Ian Sloyan, Aparna Gupta, Oshani Seneviratne

The Graph’s Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation

Reza Moravej, Saurabh Bodhe, Zhanguang Zhang, Didier Chetelat, Dimitrios Tsaras

CogTwin: A Hybrid Cognitive Architecture Framework for Adaptable and Cognitive Digital Twins

Sukanya Mandal, Noel E. O'Connor

CycSeq: Leveraging Cyclic Data Generation for Accurate Perturbation Prediction in Single-Cell RNA-Seq

Yicheng Liu, Sai Wu, Tianyun Zhang, Chang Yao, Ning Shen

TCCD: Tree-guided Continuous Causal Discovery via Collaborative MCTS-Parameter Optimization

Jingjin Liu, Yingkai Xiao, Hankz Hankui Zhuo, Wushao Wen

Optimizing the Battery-Swapping Problem in Urban E-Bike Systems with Reinforcement Learning

Wenjing Li, Zhao Li, Xuanwu Liu, Ruihao Zhu, Zhenzhe Zheng

Empowering Quantum Serverless Circuit Deployment Optimization via Graph Contrastive Learning and Learning-to-Rank Co-designed Approaches

Tingting Li, Ziming Zhao, Jianwei Yin

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data

Mengxuan Li, Ke Liu, Jialong Guo, Jiajun Bu, Hongwei Wang

PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting

Fan Li, Guoxuan Wang, Huiyu Chu, Dawei Cheng, Xiaoyang Wang

DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries

Muhammad Sakib Khan Inan, Kewen Liao

Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approach

Jingwei Hu, Kai Xie, Zheng Fang, Xiaodong Li, Junchi Yan

Unified Molecule-Text Language Model with Discrete Token Representation

Shuhan Guo, Yatao Bian, Ruibing Wang, Nan Yin, Zhen Wang

Diversity-Aware Reinforcement Learning for de novo Drug Design

Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani

Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors

Xinyu Ding, Lexuan Chen, Siyu Liao, Zhongfeng Wang

Eye-See-You: Reverse Pass-Through VR and Head Avatars

Ankan Dash, Jingyi Gu, Guiling Wang, Chen Chen

Hallucination Reduction in Video-Language Models via Hierarchical Multimodal Consistency

Jisheng Dang, Shengjun Deng, Haochen Chang, Teng Wang, Bimei Wang

Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression Under Indirect Supervision

Jiaxiang Cheng, Yipeng Pang, Guoqiang Hu

RF-DTR: A Multi-Stage DCT Token Regression Network for Progressive Rib Fracture Mask Refinement

ShouYu Chen, Liang Hu, Juntao Wang, Usman Naseem, Zhongyuan Lai

DL-KDD: Dual-Lightness Knowledge Distillation for Action Recognition in the Dark

Chi-Jui Chang, Oscar Tai-Yuan Chen, Vincent S. Tseng

SpeechHGT: A Multimodal Hypergraph Transformer for Speech-Based Early Alzheimer’s Disease Detection

Shagufta Abid, Dongyu Zhang, Ahsan Shehzad, Jing Ren, Shuo Yu

Situational-Constrained Sequential Resources Allocation via Reinforcement Learning

Libo Zhang, Yang Chen, Toru Takisaka, Kaiqi Zhao, Weidong Li

Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning

Hongbin Zhang, Kezhou Chen, Nankai Lin, Aimin Yang, Zhifeng Hao

Two-stage Risk Control with Application to Ranked Retrieval

Yunpeng Xu, Mufang Ying, Wenge Guo, Zhi Wei

Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags

Yewei Xia, Yixin Ren, Hong Cheng, Hao Zhang, Jihong Guan

LLM-enhanced Score Function Evolution for Causal Structure Learning

Zidong Wang, Fei Liu, Qi Feng, Qingfu Zhang, Xiaoguang Gao

Approximate Lifted Model Construction

Malte Luttermann, Jan Speller, Marcel Gehrke, Tanya Braun, Ralf Möller

Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencoders

Hui LIU, Shiye Tian, Xuejun Liu

Polynomial-Time Relational Probabilistic Inference in Open Universes

Luise Ge, Brendan Juba, Kris Nilsson

Most Probable Explanation in Probabilistic Answer Set Programming

Damiano Azzolini, Giuseppe Mazzotta, Francesco Ricca, Fabrizio Riguzzi

LP-Based Weighted Model Integration over Non-Linear Real Arithmetic

S. Akshay, Supratik Chakraborty, Soroush Farokhnia, Amir Goharshady, Harshit Jitendra Motwani

Attractor-based Closed List Search: Sparsifying the Closed List for Efficient Memory-Constrained Planning

Alvin Zou, Muhammad Suhail Saleem, Maxim Likhachev

A Reduction-Based Algorithm for the Clique Interdiction Problem

Chenghao Zhu, Yi Zhou, Haoyu Jiang

Exact Algorithms with New Upper Bounds for the Maximum k-plex Problem

Jiongzhi Zheng, Mingming Jin, Kun He

A Weighted-Based Fast Local Search for α-Neighbor p-Center Problem

Qingyun Zhang, Zhipeng Lü, Junwen Ding, Zhouxing Su

Inferring Causal Protein Signaling Networks with Reinforcement Learning via Artificial Bee Colony Neural Architecture Search

Jihao Zhai, Junzhong Ji, Jinduo Liu

Bidirectional Search while Ensuring Meet-In-The-Middle via Effective and Efficient-to-Compute Termination Conditions

Yi Wang, Eyal Weiss, Bingxian Mu, Oren Salzman

InfVC: An Inference-Enhanced Local Search Algorithm for the Minimum Vertex Cover Problem in Massive Graphs

Rui Sun, Peiyan Liu, Yiyuan Wang, Zhaohui Liu, Liping Du

NuMDS: An Efficient Local Search Algorithm for Minimum Dominating Set Problem

Rui Sun, Zhaohui Liu, Yiyuan Wang, Han Xiao, Jiangnan Li

A Novel Local Search Algorithm for the Vertex Bisection Minimization Problem

Rui Sun, Xinyu Wang, Yiyuan Wang, Jiangnan Li, Yi Zhou

Set-Based Retrograde Analysis: Precomputing the Solution to 28-card Bridge Double Dummy Deals

Isaac Stone, Nathan R. Sturtevant, Jonathan Schaeffer

Reinforced In-Context Black-Box Optimization

Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li

X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning

Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata

A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization

Shengjie Ren, Zimin Liang, Miqing Li, Chao Qian

LiBOG: Lifelong Learning for Black-Box Optimizer Generation

Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang

A First Runtime Analysis of NSGA-III on a Many-Objective Multimodal Problem: Provable Exponential Speedup via Stochastic Population Update

Andre Opris

Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback

Shishen Lin

Scalable Speed-ups for the SMS-EMOA from a Simple Aging Strategy

Mingfeng Li, Weijie Zheng, Benjamin Doerr

Tight Runtime Guarantees From Understanding the Population Dynamics of the GSEMO Multi-Objective Evolutionary Algorithm

Benjamin Doerr, Martin S. Krejca, Andre Opris

The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III)

Renzhong Deng, Weijie Zheng, Benjamin Doerr

Theoretical Analysis of Evolutionary Algorithms with Quality Diversity for a Classical Path Planning Problem

Duc-Cuong Dang, Aneta Neumann, Frank Neumann, Andre Opris, Dirk Sudholt

Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator

Abderrahim Bendahi, Benjamin Doerr, Adrien Fradin, Johannes F. Lutzeyer

Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It

Denis Antipov, Benjamin Doerr

Proven Approximation Guarantees in Multi-Objective Optimization: SPEA2 Beats NSGA-II

Yasser Alghouass, Benjamin Doerr, Martin S. Krejca, Mohammed Lagmah