AAAI 2026

4,920 papers

Posterior Label Smoothing for Node Classification

Jaeseung Heo, MoonJeong Park, Dongwoo Kim

Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models

Zhixia He, Chen Zhao, Minglai Shao, Xintao Wu, Xujiang Zhao

Harnessing Vision-Language Models for Time Series Anomaly Detection

Zelin He, Sarah Alnegheimish, Matthew Reimherr

Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization

Yuhao He, Jinyu Tian, Xianwei Zheng, Li Dong, Yuanman Li

Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling

XIN HE, Yili Wang, Yiwei Dai, Xin Wang

A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling

Tiantian He, Keyue Jiang, An Zhao, Anna Schroder, Elinor Thompson

Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning

Shenghong He, Chao Yu, Qian Lin, Yile Liang, Donghui Li

Harnessing Textual Semantic Priors for Knowledge Transfer and Refinement in CLIP-Driven Continual Learning

Lingfeng He, De Cheng, Di Xu, Huaijie Wang, Nannan Wang

Improving Generalization in Offline Meta-Reinforcement Learning via Cross-task Contexts

Hongcai He, Zetao Zheng, Anjie Zhu, Deqiang Ouyang, Jie Shao

HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks

Haoqi He, Yan Xiao, Wenzhi Xu, Ruoying Liu, Xiaokai Lin

Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework

Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang

S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning

Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang

Forgetting by Pruning: Data Deletion in Join Cardinality Estimation

Chaowei He, Yuanjun Liu, Qingzhi Ma, Shenyuan Ren, Xizhao Luo

Aggregate-Combine-Readout GNNs Can Express Logical Classifiers Beyond the Logic C2

Stan P Hauke, Przemysław Andrzej Wałęga

Federated Graph-level Clustering Network with Attribute Inference

Renda Han, Junlong Wu, Wenxuan Tu, Jingxin Liu, Haotian Wang

Oligodendrocyte-Driven Spiking Neural Model

Mengqiao Han, Liyuan Pan, Xiabi Liu, Hongming Zhang

Implicit Neural Representation with Multi-Scale Sine Activation

Jufeng Han, Shu Wei, Min Wu, Lina Yu, Weijun Li

Variance Reduction via Resampling and Experience Replay

Jiale Han, Xiaowu Dai, Yuhua Zhu

Vision Transformers Are Circulant Attention Learners

Dongchen Han, Tianyu Li, Ziyi Wang, Gao Huang

DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning

Bo Han, Zhuoming Li, Xiaoyu Wang, Yaxin Hou, Hui LIU

On Robustness of Linear Classifiers to Targeted Data Poisoning

Nakshatra Gupta, Sumanth Prabhu S, Supratik Chakraborty, Venkatesh R

From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs

Yuxiang Guo, Yan Zhuang, Qi Liu, Zhenya Huang, Xianquan Wang

AHAMask: Reliable Task Specification for Large Audio Language Models Without Instructions

Yiwei Guo, Bohan Li, Hankun Wang, Zhihan Li, Shuai Wang

AV-Edit: Multimodal Generative Sound Effect Editing via Audio-Visual Semantic Joint Control

Xinyue Guo, Xiaoran Yang, Lipan Zhang, Jianxuan Yang, Zhao Wang

Gotta Hear Them All: Towards Sound Source Aware Audio Generation

Wei Guo, Heng Wang, Jianbo Ma, Weidong Cai

SPEED-Q: Staged Processing with Enhanced Distillation Towards Efficient Low-Bit On-Device VLM Quantization

Tianyu Guo, Shanwei Zhao, Shiai Zhu, Chenguang Ma

Neural Collapse Priors Driven Trust Semi-Supervised Multi-View Classification

Taotao Guo, Honglin Yuan, Xujian Zhao, Yuan Sun, Dongliang Wang

Fast Conformal Prediction Using Conditional Interquantile Intervals

Naixin Guo, Rui Luo, Zhixin Zhou

rMMEA: Robust Multi-Modal Entity Alignment with Missing and Noise Visual Modality

Lingbing Guo, Zhuo Chen, Yichi Zhang, Wenbin Guo, Haonan Yang

Efficient Diffusion Planning with Temporal Diffusion

Jiaming Guo, Rui Zhang, Zerun Li, Yunkai Gao, shaohui peng

Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration

Huijie Guo, Jingyao Wang, Peizheng Guo, Xingchen Shen, Changwen Zheng

Poisoning with a Pill: Circumventing Detection in Federated Learning

Hanxi Guo, Hao Wang, Tao Song, Tianhang Zheng, Yang Hua

Disturbance-based Discretization, Differentiable IDS Channel, and an IDS-Correcting Code for DNA-based Storage

Alan J.X. Guo, Mengyi Wei, Yufan Dai, Yali Wei, Pengchen Zhang

AirWino: Optimized Winograd Convolution for Accelerating CNN Inference on ARMv8 Processors

Haoyuan Gui, Xiaoyu Zhang, Yifan Zhang, Ximeng Fu, Shiqi Sun

Deformable Polygonal Flow Matching with Informed Priors and Hierarchical Graph Constraints

Arnaud Gueze, Matthieu Ospici, Damien Rohmer, Marie-Paule Cani

Graph Masked Autoencoder for Multi-view Remote Sensing Data Clustering

Renxiang Guan, Junhong Li, Siwei Wang, Tianrui Liu, Dayu Hu

DAVID: Dual-stage Adaptive Vision-text Integrated Decoupling for Multimodal KV Cache Eviction

Yifeng Gu, Jianxiu Jin, Kailing Guo, Xiangmin Xu

UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning

Tiancheng Gu, Kaicheng Yang, Kaichen Zhang, Xiang An, Ziyong Feng

FLRQ: Faster LLM Quantization with Flexible Low-Rank Matrix Sketching

Hongyaoxing Gu, Lijuan Hu, Shuzi Niu, Fangfang Liu

Constraint-Guided Clustering for Identifying in-Vehicle Electronic Control Units from Voltage Data

Bogdan Groza, Patricia Iosif, Lucian Popa

Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy

Bram Grooten, Patrick MacAlpine, Kaushik Subramanian, Peter Stone, Peter R. Wurman

Risk-Sensitive Exponential Actor Critic

Alonso Granados, Jason Pacheco

SineLoRA∆: Sine-Activated Delta Compression

Cameron Gordon, Yiping Ji, Hemanth Saratchandran, Paul Albert, Simon Lucey

Behaviour Policy Optimization: Provably Lower Variance Return Estimates for Off-Policy Reinforcement Learning

Alex W. Goodall, Edwin Hamel-De le Court, Francesco Belardinelli

4D Point Cloud Segmentation via Active Test-Time Adaptation

Mingrong Gong, Chaoqi Chen, Luyao Tang, Yuxi Wang, Sergio Escalera

Rethinking Membership Inference Attacks for CLIP

Lluis Gomez

HAMLET4Fairness: Enhancing Fairness in AI Pipelines Through Human-Centered AutoML and Argumentation

Joseph Giovanelli, Giuseppe Pisano, Roberta Calegari

SDE-HARL: Scalable Distributed Policy Execution for Heterogeneous-Agent Reinforcement Learning

Toan D. Gian, Mohammad Abdi, Nathaniel D. Bastian, Francesco Restuccia

ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning

Debamita Ghosh, George K. Atia, Yue Wang

TLAGC: Taylor Linear Attention-Guided Graph Convolutions for Revealing Spatial Domains in Spatial Multi-Omics Data

Aoyun Geng, Chunyan Cui, Yunyun Su, Zhenjie Luo, Feifei Cui

TGCD: A Framework for Generalized Category Discovery in Time-Series Data

Chandan Gautam, Lew Choon Hean, Ankit Das, Xiaoli Li, Savitha Ramasamy

Unified Structural Factors for Transfer Learning Generalization with PAC-Bayesian Guarantees

Ziqi Gao

Adaptive Momentum and EMA-weighted Modeling for Imbalanced Label Distribution Learning

Yongbiao Gao, Xiangcheng Sun, Chao Tan, Chunyu Hu, Guohua Lv

Visual Bridge: Universal Visual Perception Representations Generating

Yilin Gao, Shuguang Dou, Junzhou Li, Zhiheng Yu, Yin Li

Reconcile Gradient Modulation for Harmony Multimodal Learning

Xiyuan Gao, Bing Cao, Baoquan Gong, Pengfei Zhu

Talon: Breaking the Synchronization Barrier in Speculative Decoding with Hybrid Model-based and Retrieve-based Drafting

Xiangxiang Gao, Weisheng Xie, Lixin, Xuwei Fang, Chen Hang

The Semantic Architect: How FEAML Bridges Structured Data and LLMs for Multi-Label Tasks

Wanfu Gao, Zebin He, Jun Gao

CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models

Shengbo Gao, Jinyang Guo, Lixian Su, Yifu Ding, Shiqiao Gu

DiAPR: Dimensionally-Allocated Prototype Refinement for Non-Exemplar Class Incremental Learning

Ruixuan Gao, Qijun Zhao, Keren Fu

MARE: Multimodal Analogical Reasoning for Disease Evolution-Aware Radiology Report Generation

Qingqing Gao, Tengfei LIU, Xiaoyan Li, Xiaodan Zhang, Zhongfan Sun

Learning Whom to Align With: Progressive Anomaly Combination Detection for Partially View-Aligned Clustering

Hang Gao, Zuosong Cai, Yuze Li, Cheng Liu, Gaoyang Li

Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups

Guangyan Gan, Ling Zhang, Yanhua Cheng, Yongxiang Tang, Kaiyuan Li

BIQ: Bisection Interval Quantization for Communication-efficient Federated Learning

Luyang Gai, Shusen Yang, Xuebin Ren, Zihao Zhou

Beyond Fixed Tasks: Unsupervised Environment Design for Task-Level Pairs

Daniel Furelos-Blanco, Charles Pert, Frederik Kelbel, Alex F. Spies, Alessandra Russo

ENHash: Error Notebook-Guided Fine-Grained Learning for Unsupervised Cross-Modal Hashing

Hao Fu, Zebing Yao, Chuangchuang Tan, Guanghua Gu

DeToNATION: Decoupled Torch Network-Aware Training on Interlinked Online Nodes

Mogens Henrik From, Jacob Nielsen, Lukas Galke, Peter Schneider-Kamp

Statistical Learning Theory for Distributional Classification

Christian Fiedler

EM-KD: Distilling Efficient Multimodal Large Language Model with Unbalanced Vision Tokens

Ze Feng, Sen Yang, Boqiang Duan, Wankou Yang, Jingdong Wang

Adaptive and Asymptotic Mean-based Subclass Discriminant Analysis

Yuzhe Feng, Yunlong Gao, Feiping Nie

Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary

Xinshun Feng, Mingzhe Liu, Yi Qiao, Tongyu Zhu, Leilei Sun

Federated Incomplete Multi-View Clustering with Tensorized Low-Rank Constraint

Wei Feng, Danting Liu, Qianqian Wang, Mengping Jiang, Bin Liu

WIET: Harmonizing Group-aware Model Weighting and Worker Allocation for Ensemble Temporal Prediction MaaS

Binbin Feng, Shikun He, Yingxin Wang, Pengwei Wang, Xiang Gao

Goal-Oriented Time-Series Forecasting: Foundation Framework Design

Luca-Andrei Fechete, Mohamed Sana, Fadhel Ayed, Nicola Piovesan, Wenjie Li

To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance

Wanlong Fang, Tianle Zhang, Alvin Chan

Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure

Ruiyi Fang, Shuo Wang, Ruizhi Pu, Qiuhao Zeng, Hao Zheng

Towards Illumination-Aware Restoration of Metalens-Captured Images: A New Dataset and a Strong Baseline

Fen Fang, Xinan Liang, Muli Yang, Jinghong Zheng, Tobias Mass

Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing

Ziyu Fan, Zhijian Huang, Yahan Li, Xiaowen Hu, Siyuan Shen

TFRank: Think-Free Reasoning Enables Practical Pointwise LLM Ranking

Yongqi Fan, Xiaoyang Chen, Dezhi Ye, Jie Liu, Haijin Liang

MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm

Xiao Fan, Jingyan Jiang, Zhaoru Chen, Fanding Huang, Xiao Chen

Online Cross-Modal Hashing with Expanding Label Space

Wentao Fan, Chao Zhang, Chunlin Chen, Huaxiong Li

Efficient Multimodal Large Language Model via Dynamic KV Cache Quantization

Jiahao Fan, Chien-Ming Chen

Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA

Zhan Fa, Yue Duan, Jian Zhang, Lei Qi, Wanqi Yang

Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach

Clément Elliker, Jesse Read, Sonia Vanier, Albert Bifet

FlorE: Integrating Full Lorentz Group and Directional Offsets for Effective Knowledge Graph Embedding

Zehua Duo, Jiang Li, Xiangdong Su, Guanglai Gao

K-ProtoDiff: Key Prototypes-Guided Diffusion for Time Series Generation

Yuhang Duan, Lin Lin, Xiaoshuai Wu

Learning Intrinsic Hierarchy for Generalized Category Discovery

Yu Duan, Junzhi He, Zhanxuan Hu, Mengda Ji, Rong Wang

Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment

Yiming Du, Ziyu Wang, Jian Li, Rui Ning, Lusi Li

Flexible Concept Bottleneck Model

Xingbo Du, Qiantong Dou, Lei Fan, Rui Zhang

Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models

Miaozeng Du, Jiaqi Li, Sirui Pan, Yi Zhan, Guilin Qi

LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation

Lin Du, Lu Bai, Jincheng Li, Lixin Cui, Hangyuan Du

GCIB: Causal Intervention Guided Graph Information Bottleneck Framework

Hangyuan Du, Rong Wang, Lixin Cui, Gaoxia Jiang, Liang Bai

Predicting the Future by Retrieving the Past

Dazhao Du, Tao Han, Song Guo

Closer to Biological Mechanism: Drug-Drug Interaction Prediction from the Perspective of Pharmacophore

Mingliang Dou, Linfeng Wen, Jinyang Xie, Jijun Tang, Shiqiang Ma

DSCF: Dual-Source Counterfactual Fusion for High-Dimensional Combinatorial Interventions

Jitong Dou, Lingrui Luo, Bing Zhu, Hengliang Luo, Mingjun Zhong

Constrained Particle Seeking: Solving Diffusion Inverse Problems with Just Forward Passes

Hongkun Dou, Zike Chen, Zeyu Li, Hongjue Li, Lijun Yang

Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition

Yuan Dong, Zhe Zhao, Liheng Yu, Di Wu, Pengkun Wang

EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation

Yonghao Dong, Qiang He, Penghong Rui, Zhenzhe Zheng, Zhao Li

Accelerating LLM Inference Throughput via Asynchronous KV Cache Prefetching

Yanhao Dong, Yubo Miao, Weinan Li, Xiao Zheng, Chao Wang

RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering Under Multi-Source Noise

Shihao Dong, Yue Liu, Xiaotong Zhou, Yuhui Zheng, Huiying Xu

Sliding-Window Merging for Compacting Patch-Redundant Layers in LLMs

Xuan Ding, Rui Sun, Yunjian Zhang, Xiu Yan, Yueqi Zhou