AAAI 2026

4,920 papers

Explaining Temporal Graph Neural Network via Quantum-Inspired Evolutionary Algorithm

Masahiro Mitani, Yuya Sasaki

T4NMTD: Transition-Centric Reinforcement Learning for Non-Markovian Task Decomposition

Ruixuan Miao, Xu Lu, Cong Tian, Bin Yu, Zhenhua Duan

Learning Branching Policies for MILPs with Proximal Policy Optimization

Abdelouahed Ben Mhamed, Assia Kamal Idrissi, Amal Seghrouchni

Online Linear Regression with Paid Stochastic Features

Nadav Merlis, Kyoungseok Jang, Nicolò Cesa-bianchi

Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning

Lingyuan Meng, Ke Liang, Hao Yu, Haotian Wang, Miaomiao Li

Semantic-Aware Feature Enhancement for Partial Label Learning

Haowei Mei, Chao Zhang, Wentao Fan, Xiuyi Jia, Chunlin Chen

Self-Adaptive Graph Mixture of Models

Mohit Meena, Yash Punjabi, Abhishek A, Vishal Sharma, Mahesh Chandran

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

Joao Mattos, Debolina Halder Lina, Arlei Silva

Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets

Idriss Malek, Aya Laajil, Abhijith Sharma, Eric Moulines, Salem Lahlou

Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning

Yinchao Ma, Qiang Zhou, Zhibin Wang, Xianing Chen, Hanqing Yang

LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs

Xiaoxu Ma, Dong Li, Minglai Shao, Xintao Wu, Chen Zhao

ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting

Xiang Ma, Taihua Chen, Pengcheng Wang, Xuemei Li, Caiming Zhang

Aligning the True Semantics: Constrained Decoupling and Distribution Sampling for Cross-Modal Alignment

Xiang Ma, Lexin Fang, Litian Xu, Caiming Zhang

C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning

Shusen Ma, Yunbo Zhao, Yu Kang

OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo

Qianli Ma, Yaowei Zheng, Zhelun Shi, Zhongkai Zhao, Bin Jia

Discovering Mixture Skills for Unsupervised Reinforcement Learning

Nelson Ma, Junyu Xuan, Guangquan Zhang, Jie Lu

MMG-Vid: Maximizing Marginal Gains at Segment-level and Token-level for Efficient Video LLMs

Junpeng Ma, Qizhe Zhang, Ming Lu, Zhibin Wang, Qiang Zhou

GraphTextack: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs

Jiaji Ma, Puja Trivedi, Danai Koutra

TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability

Fengji Ma, Hei Victor Cheng, Chenxing Li, Li Liu

Cross-Space Synergy: A Unified Framework for Multimodal Emotion Recognition in Conversation

Xiaosen Lyu, Jiayu Xiong, Yuren Chen, Wanlong Wang, Xiaoqing Dai

OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting

Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen

Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents

Xinpeng Lv, Chunyuan Zheng, Yunxin Mao, Renzhe Xu, Hao Zou

Uncertainty-Guided View-Strength-Aware Feature Utilization for Multi-View Classification

Li Lv, Qian Guo, Li Zhang, Liang Du, Bingbing Jiang

LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit

Chengtao Lv, Bilang Zhang, Yang Yong, Ruihao Gong, Yushi Huang

Quantum Algorithms for Spectral Sums

Alessandro Luongo, Changpeng Shao

Supervised Dynamic Dimension Reduction with Deep Neural Network

Zhanye Luo, Yuefeng Han, Xiufan Yu

QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension

Yongdong Luo, Wang Chen, Weizhong Huang, Shukang Yin, Haojia Lin

ViTCoP: Accelerating Large Vision-Language Models via Visual and Textual Semantic Collaborative Pruning

Wen Luo, Peng Chen, Xiaotao Huang, LiQun Huang

Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models

Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan

Attention Retention for Continual Learning with Vision Transformers

Yue Lu, Xiangyu Zhou, Shizhou Zhang, Yinghui Xing, Guoqiang Liang

SkipCat: Rank-Maximized Low-Rank Compression of Large Language Models via Shared Projection and Block Skipping

Yu-Chen Lu, Sheng-Feng Yu, Hui-Hsien Weng, Pei-Shuo Wang, Yu-Fang Hu

Beyond the Mean: Fisher-Orthogonal Projection for Natural Gradient Descent in Large Batch Training

Yishun Lu, Wesley Armour

Spiking-Aided Neural Architecture for Efficient and Robust WiFi Sensing

Yisha Lu, Liwen Jing, Jiangmao Zheng, Bowen Zhang

STEP-Nav: Spatial-Temporal Efficient Visual Token Pruning for Vision-and-Language Navigation with Large Language Models

Yantao Lu, Shiqi Sun, Ning Liu, Bo Jiang, Ying Zhang

ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs

Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yujie Sun

Autonomous Concept Drift Threshold Determination

Pengqian Lu, Jie Lu, Anjin Liu, En Yu, Guangquan Zhang

Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing

Junkai Lu, Peng Chen, Chenjuan Guo, Yang Shu, Meng Wang

Adapt Before Continual Learning

Aojun Lu, Tao Feng, Hangjie Yuan, Chunhui Ding, Yanan Sun

DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices

Afonso Lourenço, João Rodrigo, João Gama, Goreti Marreiros

Topological Federated Clustering via Gravitational Potential Fields Under Local Differential Privacy

Yunbo Long, Jiaquan Zhang, Xi Chen, Alexandra Brintrup

Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models

Jiahuan Long, Tingsong Jiang, Wen Yao, Yizhe Xiong, Zhengqin Xu

Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models

Ziwei Liu, Borui Kang, Wei Li, Hangjie Yuan, Yanbing Yang

Scaling Law for Large Wireless Models

Ziheng Liu, Jiayi Zhang, Haoyu Wang, Bokai Xu, Chen Zhang

PCSR: Pseudo-label Consistency-Guided Sample Refinement for Noisy Correspondence Learning

Zhuoyao Liu, Yang Liu, Wentao Feng, Shudong Huang

Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting

Zhixin Liu, Xuanlin Liu, Sihan Xu, Yaqiong Qiao, Ying Zhang

Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models

Zhenxian Liu, Peixi Peng, Yangru Huang, Yonghong Tian

Sample Weighted Incomplete Multimodal Clustering Based on Graph Coarsening Label Extraction

Zhenjiao Liu, Xue Xiao, Yao Chen, Jiao Xue, Shubin Ma

A Unified Shape-Aware Foundation Model for Time Series Classification

Zhen Liu, Yucheng Wang, Boyuan Li, Junhao Zheng, Emadeldeen Eldele

DA-DFGAS:Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation

Zhaowei Liu, Yihao Jiang, Rufei Gao, Jinglei Liu, Dong Yang

GLOBA: Rethinking Parameter Conflicts in Model Merging

Zehao Liu, Kun Li, Wei Zhou

Redundancy-optimized Multi-head Attention Networks for Multi-view Multi-label Feature Selection

Yuzhou Liu, Jiarui Liu, Wanfu Gao

SHADOW: Dynamic-Aware Credit Assignment Against Long-Horizon Tasks

Yuze Liu, Chaochao Lu, Chao Yang

Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs

YuXuan Liu, Wenchao Xu, Haozhao Wang, Zhiming He, Zhaofeng Shi

Time Series Class-Incremental Learning via Confidence-guided Mask Distillation and Prototype-guided Contrastive Learning

Yu Liu, Haoqin Yang, Jinping Sui, Hui Wang, Haipeng Li

Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval

Yizhi Liu, Ruitao Pu, Shilin Xu, Yingke Chen, Quan-Hui Liu

Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting

Ying Liu, Bo Liu, Sheng Huang, Gang Luo, Wenbo Hu

Who Should I Trust? Explicit Confidence-Focused Multimodal Intent Recognition

Yi Liu, Qimeng Yang, Lanlan Lu

Quality-aware and Soft Consistency Driven Representation Fusion for Incomplete Multi-view Multi-label Classification

Yadong Liu, Waikeung Wong, Yulong Chen, Jie Wen

Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline

Xvyuan Liu, Xiangfei Qiu, Xingjian Wu, Zhengyu Li, Chenjuan Guo

IndoorUAV: Benchmarking Vision-Language UAV Navigation in Continuous Indoor Environments

Xu Liu, Yu Liu, Hanshuo Qiu, Yang Qirong, Zhouhui Lian

DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning

Xiwei Liu, Yulong Li, Feilong Tang, Imran Razzak

High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers

Wenyu Liu, Tianqiang Huang, Pengfei Zhang, Zong Ke, Minghui Min

RSPlace: Rotation Sensing Macro Placement via Bidirectional Tree Expansion

Tianyi Liu, Yaxin Xu, Lin Geng, Ningzhong Liu, Han Sun

Conformal Prediction Meets Long-tail Classification

Shuqi Liu, Jianguo Huang, Luke Ong

Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences

Shudong Liu, Hanwen Zhang, Xiuling Wang, Yuesheng Zhu, Guibo Luo

Views Attention Fusion of Granular-ball Fuzzy Representations Split for Improved Multi-view Clustering

Shuaiyu Liu, Song Wu, Jie Xu, Yazhou Ren, Yang Yang

SVGL: Scale-Variable Graph Learning in Model Space for Multivariate Time Series Classification

Shikang Liu, Ziyu Tang, Xiren Zhou, Huanhuan Chen

Energy-guided Dual Domain-invariant Prompting Framework with Fourier Regularization for Generalized Few-Shot Medical Segmentation

Shaolei Liu, Yuting Wu, Dongchen Zhu, Jiamao Li

MORGAN: To Bridge Mixture of Experts and Spectral Graph Neural Network

Lihui Liu, Yuchen Yan

Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations

Larkin Liu, Kashif Rasul, Yutong Chao, Jalal Etesami

Online Conformal Selection with Accept-to-Reject Changes

Kangdao Liu, Huajun Xi, Chi Man Vong, Hongxin Wei

Practical Global and Local Bounds in Gaussian Process Regression via Chaining

Junyi Liu, Stanley Kok

FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models

Junkang Liu, Fanhua Shang, Hongying Liu, Yuxuan Tian, Yuanyuan Liu

Distilling Cross-Modal Knowledge via Feature Disentanglement

Junhong Liu, yuan zhang, Tao Huang, Wenchao Xu, Renyu Yang

Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering

Jingxin Liu, Wenxuan Tu, Haotian Wang, Renda Han, Haoyi Li

Personalized Federated Graph-Level Clustering Network

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

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

Jiexi Liu, Meng Cao, Songcan Chen

Cross Modal Fine-grained Alignment via Granularity-aware and Region-uncertain Modeling

Jiale Liu, Haoming Zhou, Yishu Liu, Bingzhi Chen, Yuncheng Jiang

Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts

Jiajun Liu, Yao He, Wenjun Ke, Peng Wang, Ziyu Shang

Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method

Gen Liu, Zhongying Zhao, Hui Zhou, CHAO LI, Qingtian Zeng

Reinforcement Learning with Fuzzy Human Attention-Guided Graph for Heterogeneous Multiagent Systems

Dingbang Liu, Fenghui Ren, Jun Yan, Guoxin Su, Shohei Kato

Learning Fair Graph Representations via Probability of Necessity and Sufficiency

Chuxun Liu, Qingfeng Chen, Debo Cheng, Jiangzhang Gan, Jiuyong Li

ME-SFDA: Marginal Exploration with Pyramidal Atkinson-Shiffrin Memory for Source-Free Domain Adaptation

Chunzhi Liu, Yuwu Lu

Cross-View Progressive Feature Filtering for Multi-View Graph Clustering in Remote Sensing

Bowen Liu, Xin Peng, Wenxuan Tu, Chengyao Wei, Xiangyan Tang

CHDP: Cooperative Hybrid Diffusion Policies for Reinforcement Learning in Parameterized Action Space

Bingyi Liu, Jinbo He, Haiyong Shi, Enshu Wang, Weizhen Han

IGT4ETH: An Isotropic Pre-trained Graph Transformer for Ethereum Account Classification

Ao Liu, Yanmei Zhang, Youwei Wang, Qiang Duan

TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation

Mattia Litrico, Mario Valerio Giuffrida, Sebastiano Battiato, Devis Tuia

CEC-Zero: Zero-Supervision Character Error Correction with Self-Generated Rewards

Zhiming Lin, KAI ZHAO, Sophie Zhang, Peilai Yu, Canran Xiao

Tighter Truncated Rectangular Prism Approximation for RNN Robustness Verification

Xingqi Lin, Liangyu Chen, Min Wu, Min Zhang, Zhenbing Zeng

RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models

Xiang Lin, Weixin Li, Shu Guo, Lihong Wang, Di Huang

MCI-Net: A Robust Multi-Domain Context Integration Network for Point Cloud Registration

Shuyuan Lin, Wenwu Peng, Junjie Huang, Qiang Qi, Miaohui Wang

Adaptive-Learngene: Continual Expansion and Task-Aware Selection of Learngenes for Dynamic Environments

Shuxia Lin, Qiufeng Wang, Chang Liu, Xu Yang, Xin Geng

Bandit Learning in Housing Markets

Shiyun Lin

Graph Meets Deep Unfolding: An Interpretable Mutual-benefit Multi-view Learning Network

Renjie Lin, Hongzhi He, Yilin Wu, Shide Du, Le Zhang

Flow-Induced Diagonal Gaussian Processes

Moule Lin, Andrea Patane, Weipeng Jing, Shuhao Guan, Goetz Botterweck

ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation

Li Lin, Xinrui Zhang, Qi Zhang, Shuai Wang, Kaiwen Xia

UniSketch: A Unified Framework for Parametric Sketch Generation and Constraint Prediction

Jing Lin, Fazhi He, Rubin Fan

FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation

Haiyan Lin, Qi Shen, Fei Zhu, Zixuan Qin, Liu Yang

Impute Missing Entries with Uncertainty

Jaesung Lim, Seunghwan An, Jong-June Jeon

BRIC: Bridging Kinematic Plans and Physical Control at Test Time

Dohun Lim, Minji Kim, Jaewoon Lim, Sungchan Kim