AAAI

Rethinking Bias in Generative Data Augmentation for Medical AI: a Frequency Recalibration Method

Chi Liu, Jincheng Liu, Congcong Zhu, Minghao Wang, Sheng Shen, Jia Gu, Tianqing Zhu, Wanlei Zhou

Comments Accepted for AAAI 2026 (Main Track Poster)

D$^{3}$ToM: Decider-Guided Dynamic Token Merging for Accelerating Diffusion MLLMs

Shuochen Chang, Xiaofeng Zhang, Qingyang Liu, Li Niu

机构 * Project leader（项目负责人） 纠错

Comments Accepted by AAAI Conference on Artificial Intelligence (AAAI) 2026. Code available at https://github.com/bcmi/D3ToM-Diffusion-MLLM

MoralReason: Generalizable Moral Decision Alignment For LLM Agents Using Reasoning-Level Reinforcement Learning

Zhiyu An, Wan Du

Comments Accepted for AAAI 2026

A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation

Puzhen Wu, Hexin Dong, Yi Lin, Yihao Ding, Yifan Peng

机构 * Population Health Sciences, Weill Cornell Medicine（人群健康科学系，韦尔·科恩医学中心） ； School of Physics, Mathematics and Computing, University of Western Australia（物理、数学与计算学院，西澳大学） 纠错

Comments Accepted at AAAI 2026

Beyond World Models: Rethinking Understanding in AI Models

Tarun Gupta, Danish Pruthi

Comments Accepted to AAAI 2026 (Main Track)

AlignTree: Efficient Defense Against LLM Jailbreak Attacks

Gil Goren, Shahar Katz, Lior Wolf

Comments Accepted as an Oral Presentation at the 40th AAAI Conference on Artificial Intelligence (AAAI-26), January 2026

FaNe: Towards Fine-Grained Cross-Modal Contrast with False-Negative Reduction and Text-Conditioned Sparse Attention

Peng Zhang, Zhihui Lai, Wenting Chen, Xu Wu, Heng Kong

机构 * Peng Zhang 1 , Zhihui Lai 1 , Wenting Chen 2 1 1 footnotemark: 1 , Xu Wu 1 , Heng Kong 3（某机构） 纠错

Comments AAAI 2026

Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation

Xuanyu Tian, Lixuan Chen, Qing Wu, Xiao Wang, Jie Feng, Yuyao Zhang, Hongjiang Wei

Comments Accepted by AAAI-26

Certified Branch-and-Bound MaxSAT Solving (Extended Version)

Dieter Vandesande, Jordi Coll, Bart Bogaerts

Comments This is an extended version of a paper that will be published in the proceedings of AAAI 2026. It extends the published version with a technical appendix including proofs and more details

Out-of-Context Misinformation Detection via Variational Domain-Invariant Learning with Test-Time Training

Xi Yang, Han Zhang, Zhijian Lin, Yibiao Hu, Hong Han

Comments accepted by the AAAI Conference on Artificial Intelligence (AAAI) 2026

Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training

Weilin Wan, Fan Yi, Weizhong Zhang, Quan Zhou, Cheng Jin

Comments 15 pages, 7 figures, aaai-2026 camera-ready version

EgoEMS: A High-Fidelity Multimodal Egocentric Dataset for Cognitive Assistance in Emergency Medical Services

Keshara Weerasinghe, Xueren Ge, Tessa Heick, Lahiru Nuwan Wijayasingha, Anthony Cortez, Abhishek Satpathy, John Stankovic, Homa Alemzadeh

机构 * School of Engineering and Applied Science（工程与应用科学学院） ； School of Medicine（医学院） 纠错

Comments Accepted to AAAI 2026 (Preprint), 45 pages, 29 figures, updated references and figure orderings

SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data

Mingkun Yang, Ran Zhu, Qing Wang, Jie Yang

Comments Paper accepted by AAAI 2026

Spatio-Temporal Context Learning with Temporal Difference Convolution for Moving Infrared Small Target Detection

Houzhang Fang, Shukai Guo, Qiuhuan Chen, Yi Chang, Luxin Yan

Comments Accepted by AAAI 2026

C$^3$TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation

Yu Li, Zhe Yang, Yi Huang, Xin Liu, Guilin Qi

Comments This paper has been accepted as a poster presentation at AAAI-2026

HQ-SVC: Towards High-Quality Zero-Shot Singing Voice Conversion in Low-Resource Scenarios

Bingsong Bai, Yizhong Geng, Fengping Wang, Cong Wang, Puyuan Guo, Yingming Gao, Ya Li

Comments Accepted by AAAI 2026 main technical track

Constrained and Robust Policy Synthesis with Satisfiability-Modulo-Probabilistic-Model-Checking

Linus Heck, Filip Macák, Milan Češka, Sebastian Junges

Comments Accepted to AAAI 2026

From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization

Peiyu Hu, Wayne Lu, Jia Wang

Comments Accepted by AAAI 2026

Self-Correction Distillation for Structured Data Question Answering

Yushan Zhu, Wen Zhang, Long Jin, Mengshu Sun, Ling Zhong, Zhiqiang Liu, Juan Li, Lei Liang, Chong Long, Chao Deng, Junlan Feng

Comments Accepted to AAAI 2026

DANCE: Density-agnostic and Class-aware Network for Point Cloud Completion

Da-Yeong Kim, Yeong-Jun Cho

Comments 7 pages, 11 figures, Accepted to AAAI 2026 (to appear)

Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks

Yaxin Xiao, Qingqing Ye, Zi Liang, Haoyang Li, RongHua Li, Huadi Zheng, Haibo Hu

机构 * PolyU 纠错

Comments Accepted by AAAI'26

HiLoMix: Robust High- and Low-Frequency Graph Learning Framework for Mixing Address Association

Xiaofan Tu, Tiantian Duan, Shuyi Miao, Hanwen Zhang, Yi Sun

Comments AAAI 2026

Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning

Jiexi Liu, Meng Cao, Songcan Chen

Comments Accepted by AAAI 2026

Distillation Dynamics: Towards Understanding Feature-Based Distillation in Vision Transformers

Huiyuan Tian, Bonan Xu, Shijian Li

Comments Accepted to AAAI 2026. Camera-ready version with appendix

Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity

João Mattos, Debolina Halder Lina, Arlei Silva

Comments 12 pages, 5 figures. Accepted at AAAI-26 as an Oral

Colonel Blotto with Battlefield Games

Salam Afiouni, Jakub Cerny, Chun Kai Ling, Christian Kroer

Comments Proceedings of AAAI'26

NURBGen: High-Fidelity Text-to-CAD Generation through LLM-Driven NURBS Modeling

Muhammad Usama, Mohammad Sadil Khan, Didier Stricker, Muhammad Zeshan Afzal

Comments Accepted in AAAI 2026

Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory

Yuxuan Lin, Hanjing Yan, Xuan Tong, Yang Chang, Huanzhen Wang, Ziheng Zhou, Shuyong Gao, Yan Wang, Wenqiang Zhang

机构 * AAAI Press（AAAI 压力） 纠错

Comments Accepted by AAAI 2026

Local Guidance for Configuration-Based Multi-Agent Pathfinding

Tomoki Arita, Keisuke Okumura

Comments To be presented at AAAI-26

Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation

Yanming Sun, Runzhe Zhan, Chi Seng Cheang, Han Wu, Xuebo Liu, Yuyao Niu, Fengying Ye, Kaixin Lan, Lidia S. Chao, Derek F. Wong

Comments Accepted by AAAI 2026