AAAI 2026

4,920 papers

Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping

Tao Yu, Yongqi An, Kuan Zhu, Guibo Zhu, Ming Tang

Binary Split Categorical Feature with Mean Absolute Error Criteria in CART

peng yu, Yike Chen, Chao Xu, Albert Bifet, Jesse Read

Activating Visual Context and Commonsense Reasoning Through Masked Prediction in VLMs

Jiaao Yu, Shenwei Li, Mingjie Han, Yifei Yin, Wenzheng Song

TVChain: Leveraging Textual-Visual Prompt Chains for Jailbreaking Large Vision-Language Models

Hao Yu, Ke Liang, Junxian Duan, Jun Wang, Siwei Wang

Generating Risky Samples with Conformity Constraints via Diffusion Models

Han Yu, Hao Zou, Xingxuan Zhang, Zhengyi Wang, Yue He

Error Slice Discovery via Manifold Compactness

Han Yu, Hao Zou, Jiashuo Liu, Renzhe Xu, Yue He

Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation

Han Yu, Xiaojuan Zhao, Aiping Li, Kai Chen, Ziniu Liu

CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations

Guanyuan Yu, Yijun Chen, Liang Xu, Gang Kou

ConSurv: Multimodal Continual Learning for Survival Analysis

Dianzhi Yu, Conghao Xiong, yankai Chen, Wenqian Cui, Xinni Zhang

How Wide and How Deep? Mitigating Over-squashing of GNNs via Channel Capacity Constrained Estimation

Zinuo You, Jin Zheng, John Cartlidge

A Flat Minima Perspective on Understanding Augmentations and Model Robustness

Weebum Yoo, Sung Whan Yoon

R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models

Tianyi Yin, Jingwei Wang, Chenze Wang, Han Wang, Jiexuan Cai

Deep Reinforcement Learning for Scalable Offline Three-Dimensional Packing

Hao Yin, Hongjie He, Fan Chen

DualFete: Revisiting Teacher-Student Interactions from a Feedback Perspective for Semi-supervised Medical Image Segmentation

Le Yi, Wei Huang, Lei Zhang, Kefu Zhao, Yan Wang

Quantum Lipschitz Bandits

Bongsoo Yi, Yue Kang, Yao Li

Multi-Task Test-time Adaptation via Gradient Consensus and Plasticity Constraint

Zhong Ye, YU HU, Zhenguo Yang

Incomplete Multi-View Unsupervised Federated Feature Selection via Cooperative Particle Swarm Optimization and Tensor-Aligned Learning

Zhiwei Ye, Songsong Zhang, Wen Zhou, Libing Wu, Jun Shen

An Invariant Latent Space Perspective on Language Model Inversion

Wentao Ye, Jiaqi Hu, Haobo Wang, Xinpeng Ti, Zhiqing Xiao

SAGE: Spuriousness-Aware Guided Prompt Exploration for Mitigating Multimodal Bias

Wenqian Ye, Di Wang, Guangtao Zheng, Bohan Liu, Aidong Zhang

PARS: Partial-Label-Learning-inspired Recommender Systems

Shanshan Ye, Kezhi Lu, Guangquan Zhang, Jie Lu

MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification

Jiexia Ye, Weiqi Zhang, Ziyue Li, Jia Li, Fugee Tsung

Rethink Representation Learning for Questionnaire Data

Guanhua Ye, Jifeng He, Yan Li, Junping Du, Zhe Xue

Learning Adaptive and Expandable Mixture Model for Continual Learning

Fei Ye, YongCheng Zhong, Qihe Liu, Adrian G. Bors, JingLing Sun

Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection

Shibo Yao, Renshuai Tao, Xiaolong Zheng, Chao Liang, Chunjie Zhang

Yours or Mine? Overwriting Attacks Against Neural Audio Watermarking

Lingfeng Yao, Chenpei Huang, Shengyao Wang, Junpei Xue, Hanqing Guo

Equivariant Atomic and Lattice Modeling Using Geometric Deep Learning for Crystal Structure Optimization

Ziduo Yang, Yi-Ming Zhao, Xian Wang, Wei Zhuo, Xiaoqing Liu

Forgetting Knowledge Localization and Isolation for Continual Forgetting of Pre-trained Vision Models

Zhiwen Yang, Jiehua Zhang, Chenggang Yan, Yuhan Gao, Zongpeng Li

Stationary and Clustering Transformer Hashing for Cross-modal Retrieval

Zhan Yang, Yiran Liu, Youyuan Huang, Yinan Li

Streaming Generated Gaussian Process Experts for Online Learning and Control

Zewen Yang, Dongfa Zhang, Xiaobing Dai, Fengyi Yu, Chi Zhang

DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks

Yunfei Yang, Xiaojun Chen, Yuexin Xuan, Zhendong Zhao, Xin Zhao

Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach

Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang

Bayes-Optimal Fair Classification with Multiple Sensitive Features

Yi Yang, Yinghui Huang, Xiangyu Chang

Diffusion-calibrated Continual Test-time Adaptation

Xu Yang, Moqi Li, Kun Wei

Self-Indexing KVCache: Predicting Sparse Attention from Compressed Keys

Xu Yang, Jiapeng Zhang, Dongyang Zhao, Guo Chen, Zhuo Tang

Flow-Based Knowledge Transfer for Efficient Large Model Distillation

Xinye Yang, Junhao Wang, RuiLi, Haosen Sun, Xuesheng Zhang

Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models

Xiao-wen Yang, Xuan-Yi Zhu, Ding-Chu Zhang, Wen-Da Wei, Jie-Jing Shao

BidMatch: Boosting Semi-Supervised Learning by Bi-Dimensional Sample Weight Guidance

Xianling Yang, Zhiwen Yu, Sun Song, Kaixiang Yang

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

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

Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning

Wenjie Yang, Shengzhong Zhang, Chen Ye, Jiaxing Guo, Tongshan Xu

HiNCoT: Hierarchical Nonlinear Continuous Transform-based Tensor Representation for Multi-Dimensional Data Recovery

Tao Yang, Weihao Wu, Tingzhu Huang

Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder

Shangshang Yang, Xuewen Duan, Xiaoshan Yu, Ziwen Wang, Haiping Ma

TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling

Qirong Yang, Yucheng Guo, Zicheng Liu, Yujie Yang, Qijin Yin

Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack

Qiantao Yang, Liquan Chen, Mingfu Xue, Songze Li

Proactive Constrained Policy Optimization with Preemptive Penalty

Ning Yang, Pengyu Wang, Guoqing Liu, Haifeng Zhang, Pin Lyu

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

Mingkun Yang, Ran Zhu, Qing Wang, jie Yang

Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics

Lincen Yang, Zhong Li, Matthijs van Leeuwen, Saber Salehkaleybar

Source-Free Graph Foundation Model Adaptation via Pseudo-Source Reconstruction

Liang Yang, Hui Ning, Jiaming Zhuo, Ziyi Ma, Chuan Wang

ProBench: Benchmarking GUI Agents with Accurate Process Information

Leyang Yang, Ziwei Wang, Xiaoxuan Tang, Sheng Zhou, Dajun Chen

Multi-View Clustering with Granularity-Aware Pseudo Supervision

jie Yang, Cheng-You Lu, Zhongli Wang, Hsiang-Ting Chen, Guang-Kui Xu

Bridging the Modality Reliability Gap in Drug-Target Interaction Prediction via a Confidence-aware Multimodal Fusion Framework

jie Yang, Junxiong Zhang, Kun Qian, Qingyu Yang, Weikai Li

NICE: Neural Implicit Craniofacial Model for Orthognathic Surgery Prediction

Jiawen Yang, Yihui Cao, Xuanyu Tian, Yuyao Zhang, Hongjiang Wei

Make Foundation Models Trustworthy Again: Causal Fine-Adaptation for Medical Image Segmentation

Hongpeng Yang, Yingxin Chen, Shiqiang Ma, Fei Guo

Tensorized Label Learning via Balanced Tensor Regression

Guangyu Yang, Yuzhuo Feng, Qin Li, Quanxue Gao, Ming Yang

PEGNet: A Physics-Embedded Graph Network for Long-Term Stable Multiphysics Simulation

Can Yang, Zhenzhong Wang, Junyuan Liu, Yunpeng Gong, Min Jiang

Towards Real-Time Neutral Atom Array Assembly via Unsupervised Hologram Generation and Path Optimization

Ge Yan, Yuchen Wang, Junchi Yan

Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning

Fengyu Yan, Di Jin, Xiaobao Wang, Qianhua Tang, Dongxiao He

Role Hypergraph Contrastive Learning for Multivariate Time-Series Analysis

Rundong Xue, Hao Hu, Zhitao Zeng, Xiangmin Han, Zhiqiang Tian

Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification

Meiting Xue, Miaoqi Li, Yukun Shi, Yan Zeng, Jilin Zhang

MULTIBENCH++: A Unified and Comprehensive Multimodal Fusion Benchmarking Across Specialized Domains

Leyan Xue, Changqing Zhang, Kecheng Xue, Xiaohong Liu, Guangyu Wang

CreBench: Human-Aligned Creativity Evaluation from Idea to Process to Product

Kaiwen Xue, Chenglong Li, Zhonghong Ou, Guoxin Zhang, Kaoyan Lu

ProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series Forecasting

Jiaqi Xue, Hongji Dong, Yucen Gao, Xiaofeng Gao, Guihai Chen

Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory

Huiyan Xue, Xuming Ran, Yaxin Li, Qi Xu, Enhui Li

Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits

Bo Xue, Yuanyu Wan, Zhichao Lu, Qingfu Zhang

SSHPool: The Separated Subgraph-based Hierarchical Pooling

Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du

CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis

Yuzhuang Xu, Xu Han, Yuanchi Zhang, Yixuan Wang, Yijun Liu

Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs

Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Xuemin Lin, Xiwei Xu

Adaptive Hallucination Alleviation in Multimodal Large Language Models: From Strategic Data Selection to Severity-Guided Training

Yuanyi Xu, Xiangru Zhu, Sihang Jiang, Zhixu Li, Bei Yang

AT-Field: Rethinking the Games in Adversarial Training

Yixiao Xu, Mohan Li, Zhijie Shen, Yuan Liu, Zhihong Tian

GeoPTH: A Lightweight Approach to Category-Based Trajectory Retrieval via Geometric Prototype Trajectory Hashing

Yang Xu, Zuliang Yang, Kai Ming Ting

MSCFL: Model Structure-Aware Clustered Federated Learning for System Heterogeneity and Data Drift

Yang Xu, Xiaowei Wu, Zifeng Xu, Cheng Zhang, Ju Ren

Enhancing DPSGD via Per-Sample Momentum and Low-Pass Filtering

Xincheng Xu, Thilina Ranbaduge, Qing Wang, Thierry Rakotoarivelo, David Smith

Fair Algorithms with Probing for Multi-Agent Multi-Armed Bandits

Tianyi Xu, Jiaxin Liu, Nicholas Mattei, Zizhan Zheng

Rethinking Visual Token Reduction in LVLMs Under Cross-Modal Misalignment

Rui Xu, Yunke Wang, Yong Luo, Bo Du

Vision-Language Models Guided Graph Concept Reasoning for Interpretable Diabetic Retinopathy Diagnosis

QiHao Xu, Xiaoling Luo, Yuxin Lin, Chengliang Liu, Yongting Hu

AVM: Towards Structure-Preserving Neural Response Modeling in the Visual Cortex Across Stimuli and Individuals

Qi Xu, Shuai Gong, Xuming Ran, Haihua Luo, Yangfan Hu

A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning

Meng Xu, Xinhong Chen, Zhongying Chen, Guanyi Zhao, Yang Jin

QuEPT: Quantized Elastic Precision Transformers with One-Shot Calibration for Multi-Bit Switching

Ke Xu, Yixin Wang, Zhongcheng Li, Hao Cui, Jinshui Hu

FuseMine: Robust Multi-Modal Compound-Protein Interaction Prediction via Differential Attention Feature Mining

Junlin Xu, Zhuang Zhang, Zhenghang Gong, Jincan Li, Pan Zeng

Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Ziyue Peng

HLML-SNN：Fast Continual Learning in Spiking Neural Networks Achieved via Hebbian Learning-Driven Meta-Learning

Jiangshuai Xu, Peiyun Xue, Jiacheng Song, Xuhui Huang, Qingshan Hou

Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation

Hengyuan Xu, Wenjun Ke, Yao He, Jiajun Liu, Dong Nie

Shaping Parameter Contribution Patterns for Out-of-Distribution Detection

Haonan Xu, Yang Yang

Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding

Ganxi Xu, Jinyi Long, Jia Zhang

UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective

Furui Xu, Shaobo Wang, Jiajun Zhang, Chenghao Sun, Haixiang Tang

CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation

Changjian Xu, Yong Wang, Ruizheng Huang, Zhicheng Zhang, Wen Yin

AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive Transformers

Boxun Xu, Yu Wang, Zihu Wang, Peng Li

Breaking the Stealth-Potency Trade-off in Clean-Image Backdoors with Generative Trigger Optimization

Binyan Xu, Fan Yang, Di Tang, Xilin Dai, Kehuan Zhang

PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning

Beicheng Xu, Wei Liu, Keyao Ding, Yupeng Lu, Bin CUI

MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios

Xuantang Xiong, Ni Mu, Runpeng Xie, Senhao Yang, Yaqing Wang

D2 Prune: Sparsifying Large Language Models via Dual Taylor Expansion and Attention Distribution Awareness

Lang Xiong, Ning Liu, Ao Ren, Yuheng Bai, Haining Fang

VORTEX: Aligning Task Utility and Human Preferences Through LLM-Guided Reward Shaping

GUOJUN XIONG, Milind Tambe

SEED: Spectral Entropy-Guided Evaluation of Spatial-Temporal Dependencies for Multivariate Time Series Forecasting

Feng Xiong, Zongxia Xie, Yanru Sun, Haoyu Wang, Jianhong Lin

On Modality Weighting and Specificity for Multi-Modal Entity Alignment

Yu Xing, Qizhuo Xie, Yunhui Liu, Qing Gu, Tao Zheng

DuGI-MAE: Improving Infrared Mask Autoencoders via Dual-Domain Guidance

Yinghui Xing, Xiaoting Su, Shizhou Zhang, Donghao Chu, Di Xu

DoKnowAD: Calibrating Normal Representations with Refined Domain Knowledge to Enhance Time Series Anomaly Detection

Shiwang Xing, Jianwei Niu, Tao Ren

OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility

Yun Xin, Jianfeng Lu, Gang Li, Shuqin Cao, Guanghui Wen

DivControl: Knowledge Diversion for Controllable Image Generation

Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui

ViCToR: Improving Visual Comprehension via Token Reconstruction for Pretraining LMMs

Yin Xie, Kaicheng Yang, Peirou Liang, Xiang An, Yongle Zhao

MAVERIX: Multimodal Audio-Visual Evaluation and Recognition IndeX

Liuyue Xie, Avik Kuthiala, George Z Wei, Ce Zheng, Ananya Bal

Efficient Plug-and-Play Weight Refinement for Sparse Large Models

Jingcheng Xie, Yinda Chen, Xiaoyu Liu, Yinglong Li, Haoyuan Shi