AAAI 2026

4,920 papers

Reward Redistribution via Gaussian Process Likelihood Estimation

Minheng Xiao, Xian Yu

Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation

Jing Xiao, Xinhai Chen, Jiaming Peng, Jie Liu

DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering

Baili Xiao, Ke Liang, Jiaqi Jin, Jun Wang, Yinbo Xu

FAM: Fine-Grained Alignment Matters in Multimodal Embedding Learning with Large Vision-Language Models

Tianhang Xiang, Yirui Li, Lizhao Liu, Hongyan Zhi, Chuanshen Chen

MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion

Haolong Xiang, Peisi Wang, Xiaolong Xu, Kun Yi, Xuyun Zhang

Behavior Regularization with Flow Latent Policy for Offline Reinforcement Learning

Yulong Xia, Fuchun Sun

COVR: Collaborative Optimization of VLMs and RL Agent for Visual-Based Control

Canming Xia, Peixi Peng, Guang Tan, Zhan Su, Haoran Xu

Unifying Multi-View Knowledge for Graph Learning via Model Collaboration

zhihao wu, Jielong Lu, Zihan Fang, Jinyu Cai, Guangyong Chen

DIN: Dual Impulse Network for Multi-view Representation Learning

Yilin Wu, Weihong Lin, Renjie Lin, Zihan Fang, Shide Du

Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification

Yihang Wu, Ahmad Chaddad

REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature

Wenhan Wu, Zhili He, Huanghuang Liang, Yili Gong, Jiawei Jiang

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

Ruijia Wu, Ping Chen, Fei Shen, Shaoan Zhao, Qiang Hui

MPA: Multimodal Prototype Augmentation for Few-Shot Learning

Liwen Wu, Wei Wang, lei zhao, Zhan Gao, Qika Lin

ExoTimer: Leveraging Large Language Models for Time Series Forecasting with Exogenous Variables

Lan Wu, Xuebin Wang, Chenglong Ge, Ruijuan Chu, Linyu Wang

Positional Bias in Multimodal Embedding Models: Do They Favor the Beginning, the Middle, or the End?

Kebin Wu, Fatima Albreiki

Facial-R1: Aligning Reasoning and Recognition for Facial Emotion Analysis

Jiulong Wu, Yucheng Shen, Lingyong Yan, Haixin Sun, Deguo Xia

SCoUT: A Framework for Structured Stereotype Analysis in Language Models

Jinxuan Wu, Bin Li, Xiangyang Xue

SELDON: Supernova Explosions Learned by Deep ODE Networks

Jiezhong Wu, Jack O'Brien, Jennifer Li, M. S. Krafczyk, Ved G. Shah

Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification

Jiayang Wu, Jiale Zhou, Rubo Wang, Xingyi Zhang, Xun Lin

From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging

Jialin Wu, Jian Yang, Handing Wang, Jiajun Wen, Zhiyong Yu

TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training

Houming Wu, Ling Chen

A Multi-Objective Optimization Framework for Adaptive Weighting in Physics-Informed Machine Learning

Guoquan Wu, Zhe Wu

RCMoE: A Communication-Efficient Random Compression Framework for Resource-Constrained Mixture-of-Experts Training

Donglei Wu, Xiao Cai, Jinglei Tan, Jinda Jia, Guangming Tan

HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization

Marcel Wever, Maximilian Muschalik, Fabian Fumagalli, Marius Lindauer

Decoupled Spatiotemporal Forecasting from Extreme Sparse Observations via Quantized Latent Space

Zhongnan Weng, Yue Hong, Hang Yu, Jiayi Que, Juan Liu

Universal EEG Epilepsy Detection via Evidential Multi-View De-Biasing

Ziqi Wen, Cai Xu, Wanqing Zhao, Jie Zhao, Wei Zhao

FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness

Siyuan Wen, Meng Zhang, Yang Yang, Ningning Ding

A General Anchor-Based Framework for Scalable Fair Clustering

Shengfei Wei, Suyuan Liu, Jun Wang, Ke Liang, Miaomiao Li

Clustering with Self-Learned Graph Regression

Lai Wei, Jin Liu

Making Sense of LLM Decisions: A Prototype-based Framework for Explainable Classification

Bowen Wei, Mehrdad Fazli, Ziwei Zhu

Enhanced Federated Deep Multi-View Clustering Under Uncertainty Scenario

Bingjun Wei, Xuemei Cao, Jiafen Liu, Haoyang Liang, Xin Yang

Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives

Zihu Wang, Boxun Xu, Hejia Geng, Peng Li

MAU-GPT: Enhancing Multi-type Industrial Anomaly Understanding via Anomaly-aware and Generalist Experts Adaptation

Zhuonan Wang, Zhenxuan Fan, Siwen Tan, Yu Zhong, Yuqian Yuan

Federated Context-Aware Personalized Recommendation

Zhihao Wang, Xiaoying Liao, Wenke Huang, Bingqian Liu, Tian Chen

Cross-Field Interface-Aware Neural Operators for Multiphase Flow Simulation

Zhenzhong Wang, Xin Zhang, Jun Liao, Min Jiang

OT-ALD: Aligning Latent Distributions with Optimal Transport for Accelerated Image-to-Image Translation

Zhanpeng Wang, Shuting Cao, Yuhang Lu, YuhanLi, Na Lei

One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow

Zeyuan Wang, Da Li, Yulin Chen, Ye Shi, Liang Bai

SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency

Zeqing Wang, Kangye Ji, Di Wang, Haibin Zhang, Fei Cheng

The Finer the Better: Towards Granular-aware Open-set Domain Generalization

Yunyun Wang, Zheng Duan, Xinyue Liao, Ke-Jia Chen, Songcan Chen

Neural Architecture for Fast and Reliable Coagulation Assessment in Clinical Settings: Leveraging Thromboelastography

Yulu Wang, Ziqian Zeng, Jianjun Wu, Zhifeng Tang

MemeBQ:Memory Efficient Binary Quantization of LLMs

Yuanhui Wang, Kunlong Liu, Minnan Pei, Zhangming Li, Peisong Wang

Boosting Noisy Correspondence Discrimination via Dynamic Neighborhood Semantic Verification

Yu Wang, Fengxia Han, Jianyu Wang

Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning

Yingxu Wang, Mengzhu Wang, Zhichao Huang, Suyu Liu, Nan Yin

Rethinking the Dark Knowledge and Kullback-Leibler Divergence Loss in Knowledge Distillation Under Capacity Mismatching

Yingchao Wang, Wenqi Niu, Xingshan Yao, Li You, Weilun Fei

DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning

Yiming Wang, Kaiyan Zhao, Ming Yang, Yan Li, Furui Liu

Explore to Learn: Latent Exploration Through Disentangled Synergy Patterns for Reinforcement Learning in Overactuated Control

Yiming Wang, Kaiyan Zhao, Xu Li, Yan Li, Jiayu Chen

Latent State-Predictive Exploration for Deep Reinforcement Learning

Yiming Wang, Kaiyan Zhao, Borong Zhang, Yan Li, Leong Hou U

Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection

Yihua Wang, Qi Jia, Cong Xu, Feiyu Chen, Yuhan Liu

Classifier-induced Reciprocal Points for Multi-label Open-set Recognition

Yibo Wang, Yong Rui, Min-ling Zhang

Unified View Extraction with Low-Rankness and Smoothness Fusion for Multi-View Subspace Clustering

Yapeng Wang, Quanxue Gao, Fangfang Li, Yu Yun, Ming Yang

End-to-End Knowledge Distillation for Unsupervised Domain Adaptation with Large Vision-language Models

Yangtao Wang, Xingwei Deng, Yanzhao Xie, Weilong Peng, Siyuan Chen

Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning

Xueyao Wang, Xiuding Cai, Honglin Shang, Yaoyao Zhu, Yu Yao

Adaptive Riemannian Graph Neural Networks

Xudong Wang, Chris Ding, Tongxin Li, Jicong Fan

SGoT-R1: Social Graph of Thought Reasoning-Enhanced Multimodal Large Language Model for Harmful Meme Detection

Xiuxian Wang, Yuting Su, Wenhui Li, Xiaowen Wang, Zhuojun Li

ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering

Xinyue Wang, Yuheng Jia, Hui LIU, Junhui Hou

From Sequential to Recursive: Enhancing Decision-Focused Learning with Bidirectional Feedback

Xinyu Wang, Jinxiao Du, Yiyang Peng, Wei Ma

Cross-view Anchor Graph Learning and Factorization for Incomplete Multi-view Clustering

Xinxin Wang, Yongshan Zhang, Xiaochen Yuan, Yicong Zhou

SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems

Xin Wang, Pietro Lodi Rizzini, Sourav Medya, Zhiling Lan

FUSION: Dataset Pruning via Fusing Uncertainty with Structural Information for Optimal Neural Training in Crystal Property Prediction

Xiean Wang, Pin Chen, Liqin Tan, Yutong Lu, Qingsong Zou

Robust High-Order Tensor Compressive Sensing Based on M-Estimators

Xiaowei Wang, Jie Yu, Yulong Wang

Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization

Xiaohan Wang, Zhangtao Cheng, Ting Zhong, Leiting Chen, Fan Zhou

Fine-flow Distilling Coarse-flow Video Generation for Long-Term Driving World Model

Xiaodong Wang, Zhirong Wu, Peixi Peng

LiViBench: An Omnimodal Benchmark for Interactive Livestream Video Understanding

Xiaodong Wang, Langling Huang, Zhirong Wu, Xu Zhao, Teng Xu

Counterfactual-Driven Zero-Shot Classifier Expansion

Xiangyu Wang, Yanze Gao, Changxin Rong, Lyuzhou Chen, Derui Lyu

Experimentation on Endogenous Graphs

Wenshuo Wang, Edvard Bakhitov, Dominic Coey

Towards Nonlinear Sparse AUC Maximization via Compositional Stochastic Hard Thresholding

Wenkang Wang, Dongxu Liu, Bin Gu

CometNet: Contextual Motif-guided Long-term Time Series Forecasting

Weixu Wang, Xiaobo Zhou, Xin Qiao, Lei Wang, Tie Qiu

M-Loss: Quantifying Model Merging Compatibility with Limited Unlabeled Data

Tiantong Wang, Yiyang Duan, Haoyu Chen, Tiantong Wu, Wei Yang Bryan Lim

Soft Conflict-Resolution Decision Transformer for Offline Multi-Task Reinforcement Learning

Shudong Wang, Xinfei Wang, Chenhao Zhang, Shanchen Pang, Haiyuan Gui

Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback

Shengbo Wang, Hong Sun, Ke Li

Wasserstein-Aligned Hyperbolic Multi-View Clustering

Rui Wang, Yuting Jiang, Xiaoqing Luo, Xiao-Jun Wu, Nicu Sebe

ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization

Qingmei Wang, Tianyu Huang, Yujie Long, Yuxin Wu, Fanmeng Wang

Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation

Qin Wang, Alessio Quercia, Benjamin Bruns, Abigail Morrison, Hanno Scharr

Discriminative Graph Embedding Framework via Label-Free Marginal Fisher Analysis

Qianqian Wang, Mengping Jiang, Wei Feng, Haixi Zhang, Bin Liu

Symphony-MoE: Harmonizing Disparate Pre-trained Models into a Coherent Mixture-of-Experts

Qi Wang, Hanyang Peng, Yue Yu

Learning Label Distribution with Dirichlet Process Mixture Model

Minglong Wang, Weiwei Li, Yunan Lu, Xiuyi Jia

Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization

Min Wang, Xin Li, Mingzhong Wang, Hasnaa Bennis

RatioSketch: Towards More Accurate Frequency Estimation in Data Streams via a Lightweight Neural Network

Mengbo Wang, Zhuochen Fan, Dayu Wang, Guorui Xie, Qing Li

Robust Integrative Analysis of Multi-omics Datasets via Nuclear-norm Maximization

Meng-zhu Wang, Yu Zhang, Hongxing Zhang

Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification

Meixia Wang, Yuhai Zhao, Zhengkui Wang, Yejiang Wang, Miaomiao Huang

S-D-RSM: Stochastic Distributed Regularized Splitting Method for Large-Scale Convex Optimization Problems

Maoran Wang, Xingju Cai, Yongxin Chen

Renormalization Group Guided Tensor Network Structure Search

Maolin Wang, Bowen Yu, Sheng Zhang, Linjie Mi, Wanyu Wang

REACT-LLM: A Benchmark for Evaluating LLM Integration with Causal Features in Clinical Prognostic Tasks

Linna Wang, Zhixuan You, Qihui Zhang, Jiunan Wen, Ji Shi

FeTS: A Feature-Aware Framework for Time Series Forecasting

Le Wang, Jianyong Chen, Songbai Liu

Credal Ensemble Distillation for Uncertainty Quantification

Kaizheng Wang, Fabio Cuzzolin, David Moens, Hans Hallez

Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors

Jinping Wang, Zhiqiang Gao, Zhang Dinggen, Zhiwu Xie

Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning

Jinping Wang, Zhiqiang Gao, Zhiwu Xie

CoRE-Learning with Look-Ahead and Immediate Resource Allocation

Jing Wang, Xi-Tong Liu, Zhi-Hua Zhou

Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble

Jihang Wang, Dongcheng Zhao, Ruolin Chen, Qian Zhang, Yi Zeng

RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting

Jieting Wang, Xiaolei Shang, Feijiang Li, Furong Peng

Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting

Jieting Wang, Huimei Shi, Feijiang Li, Xiaolei Shang

Anchor-Driven Nyström for Deep Graph-Level Clustering

Jiaxin Wang, Wenxuan Tu, Lingren Wang, Jieren Cheng, Yue Yang

Variation-Bounded Loss for Noise-Tolerant Learning

Jialiang Wang, Xiong Zhou, Xianming Liu, Gangfeng Hu, Deming Zhai

AdaReason: Progressive Training of Multi-LoRA Adapters for Budget-Adaptive Language Reasoning Models

Jiacheng Wang, Tianle Chen, Pengyu Cheng, Xiaofeng Hou, Jiacheng Liu

Listening Between the Frames: Bridging Temporal Gaps in Large Audio-Language Models

Hualei Wang, Yiming Li, Shuo Ma, Hong Liu, Xiangdong Wang

IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?

Hua Wang, Jinghao Lu, Fan Zhang

Beyond Single-Speed Reasoning: Coordinating Fast and Slow Dynamics for Efficient World Modeling

Hongwei Wang, Yangru Huang, Guangyao Chen, Xu Wang, Yi Jin

MMIFEvol: Towards Evolutionary Multimodal Instruction Following

Haoyu Wang, Sihang Jiang, Xiangru Zhu, Yuyan Chen, Xiaojun Meng

Integral-based Knockoffs Inference for Partially Linear Models

Hao Wang, Biqin Song, Rushi Lan, Hong Chen

X-SAM: From Segment Anything to Any Segmentation

Hao Wang, Limeng Qiao, Zequn Jie, Zhijian Huang, Chengjian Feng