AAAI

LoReTTA: A Low Resource Framework To Poison Continuous Time Dynamic Graphs

Himanshu Pal, Venkata Sai Pranav Bachina, Ankit Gangwal, Charu Sharma

Comments Accepted at AAAI 2026

Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Ziyue Peng, Zewei Liu, Hewei Wang, Jiayi Zhang, Edith C. H. Ngai

Comments Accepted by AAAI 2026

4DSTR: Advancing Generative 4D Gaussians with Spatial-Temporal Rectification for High-Quality and Consistent 4D Generation

Mengmeng Liu, Jiuming Liu, Yunpeng Zhang, Jiangtao Li, Michael Ying Yang, Francesco Nex, Hao Cheng

Comments Accepted by AAAI 2026.The first two authors contributed equally

Towards a Rigorous Understanding of the Population Dynamics of the NSGA-III: Tight Runtime Bounds

Andre Opris

Comments This is a preliminary version of the paper which will appear at AAAI 2026

Sparse4DGS: 4D Gaussian Splatting for Sparse-Frame Dynamic Scene Reconstruction

Changyue Shi, Chuxiao Yang, Xinyuan Hu, Minghao Chen, Wenwen Pan, Yan Yang, Jiajun Ding, Zhou Yu, Jun Yu

Comments AAAI 2026

GEWDiff: Geometric Enhanced Wavelet-based Diffusion Model for Hyperspectral Image Super-resolution

Sirui Wang, Jiang He, Natàlia Blasco Andreo, Xiao Xiang Zhu

Comments This manuscript has been accepted for publication in AAAI 2026

Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization

Yuanshao Zhu, Xiangyu Zhao, Zijian Zhang, Xuetao Wei, James Jianqiao Yu

Comments Accepted as a regular paper by AAAI'26

How Bias Binds: Measuring Hidden Associations for Bias Control in Text-to-Image Compositions

Jeng-Lin Li, Ming-Ching Chang, Wei-Chao Chen

Comments Accepted for publication at the Alignment Track of The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026)

Importance-Aware Data Selection for Efficient LLM Instruction Tuning

Tingyu Jiang, Shen Li, Yiyao Song, Lan Zhang, Hualei Zhu, Yuan Zhao, Xiaohang Xu, Kenjiro Taura, Hao Henry Wang

Comments Accepted by AAAI 2026 Oral

Aligning Attention with Human Rationales for Self-Explaining Hate Speech Detection

Brage Eilertsen, Røskva Bjørgfinsdóttir, Francielle Vargas, Ali Ramezani-Kebrya

Comments Accepted at the Annual AAAI Conference on Artificial Intelligence (AAAI26)

From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge

Hui Lu, Yi Yu, Song Xia, Yiming Yang, Deepu Rajan, Boon Poh Ng, Alex Kot, Xudong Jiang

Comments AAAI 2026 (Oral presentation)

Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach

Yuanheng Li, Zhuoyang Chen, Xiaoyun Liu, Yuhao Wang, Mingwei Liu, Yang Shi, Kaifeng Huang, Shengjie Zhao

Comments Paper has been accepted by AAAI 2026

Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time

Junjun Pan, Yixin Liu, Chuan Zhou, Fei Xiong, Alan Wee-Chung Liew, Shirui Pan

Comments 9 pages, 5 figures, accepted by AAAI 2026

S$^2$Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening

Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma

Comments Accepted by AAAI 2026 Main Technical Track

From Attribution to Action: Jointly ALIGNing Predictions and Explanations

Dongsheng Hong, Chao Chen, Yanhui Chen, Shanshan Lin, Zhihao Chen, Xiangwen Liao

Comments Accepted in AAAI 2026

PanoNav: Mapless Zero-Shot Object Navigation with Panoramic Scene Parsing and Dynamic Memory

Qunchao Jin, Yilin Wu, Changhao Chen

Comments Accepted as a poster in AAAI 2026

NeuroBridge: Bio-Inspired Self-Supervised EEG-to-Image Decoding via Cognitive Priors and Bidirectional Semantic Alignment

Wenjiang Zhang, Sifeng Wang, Yuwei Su, Xinyu Li, Chen Zhang, Suyu Zhong

Comments AAAI 2026

Beyond Plain Demos: A Demo-centric Anchoring Paradigm for In-Context Learning in Alzheimer's Disease Detection

Puzhen Su, Haoran Yin, Yongzhu Miao, Jintao Tang, Shasha Li, Ting Wang

Comments Accepted to the 40th Annual AAAI Conference on Artificial Intelligence (2026) - Main Technical Track (Oral)

Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models

Kunhao Li, Wenhao Li, Di Wu, Lei Yang, Jun Bai, Ju Jia, Jason Xue

Comments Accepted at AAAI 2026 as a Conference Paper (Oral Presentation)

Rethinking Rainy 3D Scene Reconstruction via Perspective Transforming and Brightness Tuning

Qianfeng Yang, Xiang Chen, Pengpeng Li, Qiyuan Guan, Guiyue Jin, Jiyu Jin

Comments Accepted by AAAI 2026 (Oral)

Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View

Jianyu Qi, Ding Zou, Wenrui Yan, Rui Ma, Jiaxu Li, Zhijie Zheng, Zhiguo Yang, Rongchang Zhao

Comments Accpeted by AAAI 2026

AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer

Yulim So, Seokho Kang

机构 * Yulim So, Seokho Kang 纠错

Comments Accepted to AAAI 2026

Sim4Seg: Boosting Multimodal Multi-disease Medical Diagnosis Segmentation with Region-Aware Vision-Language Similarity Masks

Lingran Song, Yucheng Zhou, Jianbing Shen

机构 * Lingran Song, Yucheng Zhou, Jianbing Shen（作者） 纠错

Comments AAAI 2026

HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment

Ruijia Wu, Ping Chen, Fei Shen, Shaoan Zhao, Qiang Hui, Huanlin Gao, Ting Lu, Zhaoxiang Liu, Fang Zhao, Kai Wang, Shiguo Lian

Comments Accepted by AAAI 2026 as an Oral Presentation (13 pages, 7 figures, 7 tables)

Journal ref AAAI2026

Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving

Bin Rao, Chengyue Wang, Haicheng Liao, Qianfang Wang, Yanchen Guan, Jiaxun Zhang, Xingcheng Liu, Meixin Zhu, Kanye Ye Wang, Zhenning Li

Comments Accepted at AAAI-26 (AAAI 2026), Main Track

Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily

Asela Hevapathige, Asiri Wijesinghe, Ahad N. Zehmakan

Comments Accepted to AAAI 2026

Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees

Mohammad Shirzadi, Ali Safarpoor Dehkordi, Ahad N. Zehmakan

Comments This is the full version of the paper accepted to the 40th Annual AAAI Conference on Artificial Intelligence (AAAI-2026)

EASE: Practical and Efficient Safety Alignment for Small Language Models

Haonan Shi, Guoli Wang, Tu Ouyang, An Wang

Comments Accepted to AAAI 2026

Enhancing Robustness of Graph Neural Networks through p-Laplacian

Anuj Kumar Sirohi, Subhanu Halder, Kabir Kumar, Sandeep Kumar

Comments Accepted at 5th Workshop on Graphs and more Complex Structures For Learning and Reasoning (GCLR), The 40th AAAI Conference on Artificial Intelligence (AAAI-26)

On-the-Fly OVD Adaptation with FLAME: Few-shot Localization via Active Marginal-Samples Exploration

Yehonathan Refael, Amit Aides, Aviad Barzilai, George Leifman, Genady Beryozkin, Vered Silverman, Bolous Jaber, Tomer Shekel

机构 * Google Research（谷歌研究） 纠错

Journal ref AAAI 2026 Workshop AI4ES