AAAI 2026

4,920 papers

Learning with Preserving for Continual Multitask Learning

Hanchen David Wang, Siwoo Bae, Zirong Chen, Meiyi Ma

U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions

Guanjun Wang, Jianhao Zhang, Jiaming Ma, Sheng Huang, Pengkun Wang

Retriever Encoder Selection Matters for In-Context Learning-based Medical Segmentation

Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin

TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents

Dawei Wang, Chengming Zhou, Di Zhao, Xinyuan Liu, Marci Chi Ma

Time-Frequency Augmented Multi-level Contrastive Clustering for Time Series

Congyu Wang, Mingjing Du, Xiang Jiang

CasMoE: A Cascaded Framework for Efficient MoE Inference on Resource-constrained Devices

Chengcheng Wang, Haowen He, Liang Zhao, Xiaoheng Deng, Lixin Duan

Reward Model Evaluation via Automatically-Ranked Policy Alignment

Aoran Wang, Lei Ou, Yang Yu, Zongzhang Zhang

Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training

Weilin Wan, Fan Yi, Weizhong Zhang, Quan Zhou, Cheng Jin

FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence

Guoan Wan, Tianyu Chen, Fangzheng Feng, Haoyi Zhou, Runhua Xu

DAWN: Distributed LLM Multi-Agent Workflow Synthesis

Guancheng Wan, Mo Zhou, Ziyi Wang, Xiaoran Shang, Eric Hanchen Jiang

Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach

Nassim Walha, Sebastian G. Gruber, Thomas Decker, Yinchong Yang, Alireza Javanmardi

Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks

Govind Waghmare, Srini Rohan Gujulla Leel, Nikhil Tumbde, Sumedh B G, Sonia Gupta

Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning

Sanyam Vyas, Alberto Caron, Chris Hicks, Pete Burnap, Vasilios Mavroudis

A Novel Approach to Evaluating Evaluation Metrics for Multi-Output Structured Prediction

Akshay Vyas, Angelo Pimienta, Nicholas Ruozzi

Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion

Evgeniia Vu, Andrei Boiarov, Dmitry Vetrov

Hybrid Restricted Master Problem for Boolean Matrix Factorisation

Ellen Visscher, Michael Forbes, Christopher Yau

Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Stochastic Multi-Objective Optimisation

Robin van der Laag, Hao Wang, Thomas Bäck, Yingjie Fan

T3former: Temporal Graph Classification with Topological Machine Learning

Md Joshem Uddin, Soham Changani, Baris Coskunuzer

Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance

Bryan E. Tuck, Rakesh M. Verma

Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation

Askar Tsyganov, Evgeny Frolov, Sergey Samsonov, Maxim Rakhuba

Robust SDE Parameter Estimation Under Missing Time Information Setting

Van Long Tran, Truyen Tran, Phuoc Nguyen

Post Training Quantization for Efficient Dataset Condensation

Linh-Tam Tran, Sung-Ho Bae

Video Echoed in Music: Semantic, Temporal, and Rhythmic Alignment for Video-to-Music Generation

Xinyi Tong, Yiran Zhu, Jishang Chen, Chunru Zhan, Tianle Wang

Meta-GAIN for Missing Data Imputation

Tao Tong, Xiaofeng Zhu, Jiangzhang Gan

Efficiently Enhancing Long-term Series Forecasting via Adaptive Lookback with Wavelets

Suxin Tong, Jingling Yuan

NADIR: Differential Attention Flow for Non-Autoregressive Transliteration in Indic Languages

Lakshya Tomar, Vinayak Abrol, Puneet Agarwal

Efficient Modality Translation via Arbitrary Conditioning and Wasserstein Regularization

Tomas Tokar, Scott Sanner

Data Heterogeneity and Forgotten Labels in Split Federated Learning

Joana Tirana, Dimitra Tsigkari, David Solans Noguero, Nicolas Kourtellis

Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint

Bertille Tierny, Arthur Charpentier, Francois Hu

Adaptive and Context-rich Generative Self-supervised Learning on Graphs

Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang

Sampling Control for Imbalanced Calibration in Semi-Supervised Learning

Senmao Tian, Xiang Wei, Shunli Zhang

Learning Network Dismantling Without Handcrafted Inputs

Haozhe Tian, Pietro Ferraro, Robert Noel Shorten, Mahdi Jalili, Homayoun Hamedmoghadam

DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models

Hao Tian, Sheng Lu, Fuwen Tian, Guangming Cui, Zheng Li

CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution

Baoliang Tian, Yuxuan Si, Jilong Wang, Lingyao Li, Zhongyuan Bao

SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning

Ran Tao, Qiugang Zhan, Shantian Yang, Xiurui Xie, Qi Tian

Learning Conjugate Direction Fields for Planar Quadrilateral Mesh Generation

Jiong Tao, Yong-Liang Yang, Bailin Deng

FinMMDocR: Benchmarking Financial Multimodal Reasoning with Scenario Awareness, Document Understanding, and Multi-Step Computation

Zichen Tang, Haihong E, Rongjin Li, Jiacheng Liu, Linwei Jia

Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels

Xijia Tang, Yuhua Qian, Chao Xu, Chenping Hou

Autonomous Partner Selection for Cooperative Multi-Agent Reinforcement Learning

Rui Tang, Biao Luo, Yongzheng Cui

Group-aware Multiscale Ensemble Learning for Test-Time Multimodal Sentiment Analysis

Kai Tang, Yixuan Tang, Tianyi Chen, Haokai Xu, Qiqi Luo

Optimal Look-back Horizon for Time Series Forecasting in Federated Learning

Dahao Tang, Nan Yang, Yanli Li, Zhiyu Zhu, Zhibo Jin

Trusted Multi-view Learning for Long-tailed Classification

Chuanqing Tang, Yifei Shi, Guanghao Lin, Lei Xing, Long Shi

CloserToMe: A Unified Framework for Accurate and Transferable Latency Prediction Across Heterogeneous Devices

Cheng Tang, Guochong Sui, Wenqi Lou, Zihan Wang, Jiayi Tuo

DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning Under Domain Skew

Zhou Tan, De Li, Yirui Huang, Duanshu Fang, Jia-Li Yin

Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering

Zexi Tan, Xiaopeng Luo, Yunlin Liu, Yiqun Zhang

Tabular Learnwares Can Be Repurposed for Seemingly Irrelevant New Tasks

Peng Tan, Feifan Yang, Zhi-Hao Tan, Zhi-Hua Zhou

E-Logic Prompt: Unified Energy-Logic Framework for Continual Visual Question Answering

Jiayao Tan, Tianle Liu, Fuyuan Hu, Wei Feng, Liang Wan

Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds

Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb

ARTEM: Enhancing Large Language Model Agents with Spatial-Temporal Episodic Memory

Cassandra Hui-Ming Tan, Budhitama Subagdja, Ah-Hwee Tan

I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables

Hirofumi Suzuki, Kentaro Kanamori, Takuya Takagi, Thong Pham, Takashi Nicholas Maeda

Tractable Sharpness-Aware Learning of Probabilistic Circuits

Hrithik Suresh, Sahil Sidheekh, Vishnu Shreeram M P, Sriraam Natarajan, Narayanan Chatapuram Krishnan

State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis

Xin Sun, Heng Zhou, Yuhao Wu, CHAO LI

Optimization Method for Surrogate Function in Spiking Neural Networks Based on Membrane Potential Distribution

Qi Sun, Zhen Cao, Kaige Geng, Ziyi Zhang, Biao Hou

Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection

Li Sun, Lanxu Yang, Jiayu Tian, Bowen Fang, Xiaoyan Yu

Boomda: Balanced Multi-objective Optimization for Multimodal Domain Adaptation

Jun Sun, Xinxin Zhang, Simin Hong, Jian Zhu, Xiang Gao

Structures Meet Semantics: Multimodal Fusion via Graph Contrastive Learning

Jiangfeng Sun, Sihao He, Zhonghong Ou, Meina Song

TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference

Chuxiong Sun, Dunqi Yao, Rui Wang, Wenwen Qiang, Changwen Zheng

M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference

Chuxiong Sun, Peng He, Qirui Ji, Zehua Zang, Jiangmeng Li

DWTSG: Parameter-Efficient Fine-Tuning of Large Pre-trained Models via Discrete Wavelet Transform and Subband Guidance

Chengwei Sun, Jiwei Wei, Shiyuan He, Zeyu Ma, Yuyang Zhou

Complex Instruction Following with Diverse Style Policies in Football Games

Chenglu Sun, Shuo Shen, Haonan Hu, Wei Zhou, Chen Chen

Counterfactual Fairness with Imperfect Causal Graphs

Cong Su, Qiaoyu Tan, Carlotta Domeniconi, Lizhen Cui, Jun Wang

Ambiguity-Tolerant Cross-Modal Hashing with Partial Labels

Chao Su, Yanan Li, Xu Wang, Yingke Chen, Huiming Zheng

Planning in Branch-and-Bound: Model-Based Reinforcement Learning for Exact Combinatorial Optimization

Paul Strang, Zacharie Alès, Côme Bissuel, Olivier Juan, Safia Kedad-Sidhoum

Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions

Roland Stolz, Michael Eichelbeck, Matthias Althoff

Learning from Reasoning Failures via Synthetic Data Generation

Gabriela Ben Melech Stan, Estelle Aflalo, Avinash Madasu, VASUDEV LAL, Phillip Howard

Scaling Laws for Conditional Emergence of Multilingual Image Captioning via Generalization from Translation

Julian Spravil, Sebastian Houben, Sven Behnke

Formal Abductive Latent Explanations for Prototype-Based Networks

Jules Soria, Zakaria Chihani, Julien Girard-Satabin, Alban Grastien, Romain Xu-Darme

Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation

Yu Song, Zhigang Hua, Yan Xie, Bingheng Li, Jingzhe Liu

COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series

Xinxin Song, Yuxiao Cheng, Tingxiong Xiao, Jinli Suo

Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data

Tianle Song, Chenhao Lin, Yang Cao, Zhengyu Zhao, Jiahao Sun

Leveraging Image as Compressed Visual Prompt and Hierarchical Visual Knowledge for Effective Image Utilization in MLLMs

Shezheng Song, Kangcheng Ding, Shan Zhao, Shasha Li, Xiaopeng Li

Synthetic Forgetting Without Access: A Few-Shot Zero-Glance Framework for Machine Unlearning

Qipeng Song, Nan Yang, Ziqi Xu, Yue Li, Wei Shao

KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction Tuning

Lingyun Song, Ziyao Chen, Kang Pan, Xiaolin Han, Xinbiao Gan

Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts

Chuancheng Song, Hanyang Shen, Yan Dong, Xixun Lin, Yanmin Shang

Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning

Baogang Song, Dongdong Zhao, Jianwen Xiang, Qiben Xu, Zizhuo Yu

Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry

Vladimir Solodkin, Andrey Veprikov, Alexander Chernyavskiy, Aleksandr Beznosikov

MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data

Dimitrios Sinodinos, Jack Yi Wei, Narges Armanfard

Leap of FAITH from GNN-to-MLP: Fairness Aware Inference via DisTillation of GrapH Knowledge

Vipul Kumar Singh, Jyotismita Barman, Sandeep Kumar, Tapan K. Gandhi, Jayadeva

CRISP: Curriculum-Inducing Primitive Informed Subgoal Prediction for Boosting Hierarchical Reinforcement Learning

Utsav Singh, Vinay P. Namboodiri

Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation

Inderjeet Singh, Eleonore Vissol-Gaudin, Andikan Otung, Motoyoshi Sekiya

Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields

Md Shahriar Rahim Siddiqui, Moshe Eliasof, Eldad Haber

Quantum Non-Linear Bandit Optimization

Zakaria Shams Siam, Chaowen Guan, Chong Liu

Conformal Constrained Policy Optimization for Cost-Effective LLM Agents

Wenwen Si, Sooyong Jang, Insup Lee, Osbert Bastani

Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces

Leping Si, Meimei Yang, hui xue, Shipeng Zhu, Pengfei Fang

WaveFormer: Frequency-Time Decoupled Vision Modeling with Wave Equation

Zishan Shu, Juntong Wu, Wei Yan, Xudong Liu, Hongyu Zhang

Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting

Yuxuan Shu, Vasileios Lampos

Adaptive LiDAR Scanning: Harnessing Temporal Cues for Efficient 3D Object Detection via Multi-Modal Fusion

Sara Shoouri, Morteza Tavakoli Taba, Hun-Seok Kim

Learning to Rank: How GNNs Solve Max-Clique and Sparse PCA

Elad Shoham, Omri Haber, Havana Rika, Dan Vilenchik

Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees

Mohammad Shirzadi, Ali Safarpoor Dehkordi, Ahad N. Zehmakan

Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense

Zitong Shi, Guancheng Wan, Wenke Huang, Yuxin Wu, Quan Zhang

Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs

Zhongjie Shi, Puyu Wang, Chenyang Zhang, Yuan Cao

Kronos: A Foundation Model for the Language of Financial Markets

Yu Shi, Zongliang Fu, Shuo Chen, Bohan Zhao, Wei Xu

URaG: Unified Retrieval and Generation in Multimodal LLMs for Efficient Long Document Understanding

Yongxin Shi, Jiapeng Wang, Zeyu Shan, Dezhi Peng, Zening Lin

Unsupervised Single-Channel Audio Separation with Diffusion Source Priors

Runwu Shi, Chang Li, Jiang Wang, Rui Zhang, Nabeela Khan

Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict

Jie Shi, Xiaodong Yue, Wei Liu, Yufei Chen, Feifan Dong

Ordered Local Momentum for Asynchronous Distributed Learning Under Arbitrary Delays

Chang-Wei Shi, Shi-Shang Wang, Wu-jun Li

Retaliatory Attacks Against Federated Unlearning via Data Leakage

Xinyi Sheng, Wei Bao, Hequn Wang, Yuqin Liu, Sen Fu

Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios

Qilu Shen, Yingjie Wang, Jinhai Xiang

TSGDiff: Rethinking Synthetic Time Series Generation from a Pure Graph Perspective

Lifeng Shen, Xuyang Li, Lele Long

Finding Time Series Anomalies Using Granular-Ball Vector Data Description

Lifeng Shen, Liang Peng, Ruiwen Liu, Shuyin Xia, Yi Liu