National Conference of the American Association for Artificial Intelligence
AAAI
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
23.8% (2024 main track)
Fields of research
Artificial Intelligence · Computer Vision and Multimedia Computation · Machine Learning
Papers indexed
31,171
1980–2026
Papers per year
19804,920 peak2026
Most published authors
AAAI papers
31,171 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2026 | Self-Adaptive Graph Mixture of Models. | Mohit Meena, Yash Punjabi, Abhishek A, Vishal Sharma, Mahesh Chandran |
| 2026 | PANSim: Visualization Tool for Planning and Acting against Nature. | Erol Medencevic, Jakub Med, Luks Chrpa |
| 2026 | STACK: Adversarial Attacks on LLM Safeguard Pipelines. | Ian R. McKenzie, Oskar John Hollinsworth, Tom Tseng, Xander Davies, Stephen Casper, Aaron David Tucker, Robert Kirk, Adam Gleave |
| 2026 | DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift. | Shae McFadden, Myles Foley, Mario D'Onghia, Chris Hicks, Vasilios Mavroudis, Nicola Paoletti, Fabio Pierazzi |
| 2026 | Towards Generalist Robot Learning from Internet Video: A Survey (Abstract Reprint). | Robert McCarthy, Daniel Chee Hian Tan, Dominik Schmidt, Fernando Acero, Nathan Herr, Yilun Du, Thomas George Thuruthel, Zhibin Li |
| 2026 | BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis. | Jiajun Ma, Yongchao Zhang, Chao Zhang, Zhao Lv, Shengbing Pei |
| 2026 | DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior. | Ruiyang Ma, Yunhao Zhou, Yipeng Wang, Yi Liu, Zhengyuan Shi, Ziyang Zheng, Kexin Chen, Zhiqiang He, Lingwei Yan, Gang Chen, Qiang Xu, Guojie Luo |
| 2026 | Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning. | Yinchao Ma, Qiang Zhou, Zhibin Wang, Xianing Chen, Hanqing Yang, Jun Song, Bo Zheng |
| 2026 | CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving. | Enhui Ma, Lijun Zhou, Tao Tang, Jiahuan Zhang, Junpeng Jiang, Zhan Zhang, Dong Han, Kun Zhan, Xueyang Zhang, Xianpeng Lang, Haiyang Sun, Xia Zhou, Di Lin, Kaicheng Yu |
| 2026 | OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo. | Qianli Ma, Yaowei Zheng, Zhelun Shi, Zhongkai Zhao, Bin Jia, Ziyue Huang, Zhiqi Lin, Youjie Li, Jiacheng Yang, Yanghua Peng, Zhi Zhang, Xin Liu |
| 2026 | ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models. | Huipeng Ma, Luan Zhang, Dandan Song, Linmei Hu, Yuhang Tian, Jun Yang, Changzhi Zhou, Chenhao Li, Yizhou Jin, Xudong Li, Meng Lin, Mingxing Zhang, Shuhao Zhang |
| 2026 | X2Edit: Revisiting Arbitrary-Instruction Image Editing Through Self-Constructed Data and Task-Aware Representation Learning. | Jian Ma, Xujie Zhu, Zihao Pan, Qirong Peng, Xu Guo, Chen Chen, Haonan Lu |
| 2026 | Multi-graph Fusion Cross-model Contrastive Learning for Recommendation. | Shengjun Ma, Yuhai Zhao, Fenglong Ma, Baoyin Liu, Zhengkui Wang, Wen Shan |
| 2026 | MMG-Vid: Maximizing Marginal Gains at Segment-level and Token-level for Efficient Video LLMs. | Junpeng Ma, Qizhe Zhang, Ming Lu, Zhibin Wang, Qiang Zhou, Jun Song, Shanghang Zhang |
| 2026 | C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning. | Shusen Ma, Yunbo Zhao, Yu Kang |
| 2026 | Discovering Mixture Skills for Unsupervised Reinforcement Learning. | Nelson Ma, Junyu Xuan, Guangquan Zhang, Jie Lu |
| 2026 | CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement. | Chenrui Ma, Xi Xiao, Tianyang Wang, Xiao Wang, Yanning Shen |
| 2026 | Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning. | Jingtian Ma, Jingyuan Wang, Leong Hou U |
| 2026 | QueryAligner: Customizing User Query to Match LLMs Preferences for Better Intent Recognition. | Yunlong Ma, Bo Wang, Yihong Tang, Zifei Yu, Chenyun Xue, Gaoke Zhang, Yuexian Hou |
| 2026 | Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees. | Xinhang Ma, Junlin Wu, Hussein Sibai, Yiannis Kantaros, Yevgeniy Vorobeychik |
| 2026 | BDI-based Opponent Modeling and Strategy Generation for Multi-Issue Negotiation (Student Abstract). | Tianzi Ma, Yulin Wu, Hang Ren, Xiaozhen Sun, Shuhan Qi, Xuan Wang |
| 2026 | Multi-Robot Learning from Human Feedback. | Connor Mattson |
| 2026 | Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity. | Joo Mattos, Debolina Halder Lina, Arlei Silva |
| 2026 | Human Motion Unlearning. | Edoardo De Matteis, Matteo Migliarini, Alessio Sampieri, Indro Spinelli, Fabio Galasso |
| 2026 | GraphTextack: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs. | Jiaji Ma, Puja Trivedi, Danai Koutra |
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Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICRAIEEE International Conference on Robotics and Automation
- AInterspeechInterspeech (combined EuroSpeech and ICSLP in 2000)
- AIROSIEEE/RSJ International Conference on Intelligent Robots and Systems
- A*ACLAssociation for Computational Linguistics
- A*IJCAIInternational Joint Conference on Artificial Intelligence
- A*EMNLPEmpirical Methods in Natural Language Processing
- AGECCOGenetic and Evolutionary Computations
- ANAACLNorth American Association for Computational Linguistics