International Joint Conference on Artificial Intelligence

IJCAI

CORE rank

CORE rank (raw)

Acceptance rate

14.0% (2024)

Fields of research

Artificial Intelligence · Machine Learning · Computer Vision and Multimedia Computation

Papers indexed

16,536

1969–2025

Best Artificial Intelligence conferences Best Machine Learning conferences Best Computer Vision conferences

Papers per year

19691,288 peak2025

Most published authors

IJCAI papers

16,536 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2023	Specifying and Testing k-Safety Properties for Machine-Learning Models.	Maria Christakis, Hasan Ferit Eniser, Jrg Hoffmann, Adish Singla, Valentin Wstholz
2023	Adversarial Contention Resolution Games.	Giorgos Chionas, Bogdan S. Chlebus, Dariusz R. Kowalski, Piotr Krysta
2023	Deliberation as Evidence Disclosure: A Tale of Two Protocol Types.	Julian Chingoma, Adrian Haret
2023	Fairness and Stability in Complex Domains.	Julian Chingoma
2023	Towards Gender Fairness for Mental Health Prediction.	Jiaee Cheong, Selim Kuzucu, Sinan Kalkan, Hatice Gunes
2023	A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification.	Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao
2023	CSGCL: Community-Strength-Enhanced Graph Contrastive Learning.	Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang
2023	Probabilistic Masked Attention Networks for Explainable Sequential Recommendation.	Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang
2023	Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs.	Mingyang Chen, Wen Zhang, Yuxia Geng, Zezhong Xu, Jeff Z. Pan, Huajun Chen
2023	Black-Box Data Poisoning Attacks on Crowdsourcing.	Pengpeng Chen, Yongqiang Yang, Dingqi Yang, Hailong Sun, Zhijun Chen, Peng Lin
2023	CostFormer: Cost Transformer for Cost Aggregation in Multi-view Stereo.	Weitao Chen, Hongbin Xu, Zhipeng Zhou, Yang Liu, Baigui Sun, Wenxiong Kang, Xuansong Xie
2023	Graph Propagation Transformer for Graph Representation Learning.	Zhe Chen, Hao Tan, Tao Wang, Tianrun Shen, Tong Lu, Qiuying Peng, Cheng Cheng, Yue Qi
2023	LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity.	Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao
2023	One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER.	Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen
2023	Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers.	Da Qi Chen, Ann Li, George Z. Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2023	Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data.	Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang
2023	TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning.	Jiafu Chen, Boyan Ji, Zhanjie Zhang, Tianyi Chu, Zhiwen Zuo, Lei Zhao, Wei Xing, Dongming Lu
2023	HDFormer: High-order Directed Transformer for 3D Human Pose Estimation.	Han-Yuan Chen, Jun-Yan He, Wangmeng Xiang, Zhi-Qi Cheng, Wei Liu, Hanbing Liu, Bin Luo, Yifeng Geng, Xuansong Xie
2023	Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning.	Yinda Chen, Wei Huang, Shenglong Zhou, Qi Chen, Zhiwei Xiong
2023	Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion.	Xinhua Cheng, Nan Zhang, Jiwen Yu, Yinhuai Wang, Ge Li, Jian Zhang
2023	Robust Image Ordinal Regression with Controllable Image Generation.	Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Z. Chen, Jian Wu
2023	Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation.	Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang
2023	WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation.	Zesen Cheng, Peng Jin, Hao Li, Kehan Li, Siheng Li, Xiangyang Ji, Chang Liu, Jie Chen
2023	Sketch Recognition via Part-based Hierarchical Analogical Learning.	Kezhen Chen, Kenneth D. Forbus, Balaji Vasan Srinivasan, Niyati Chhaya, Madeline Usher
2023	FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning.	Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu

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Comparable venues

Other A*/A conferences filed under the same field of research.