AAAI 2026

4,920 papers

Xi Ding, Lei Wang, Piotr Koniusz, Yongsheng Gao

PrefixGPT: Prefix Adder Optimization by a Generative Pre-trained Transformer

Ruogu Ding, Xin Ning, Ulf Schlichtmann, Weikang Qian

Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub

Ling Ding, Tianbai Lyu, Zhiliang Bi, Hao Wang, Shanshan Feng

TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding

Kuiye Ding, Fanda Fan, Chunyi Hou, Zheya Wang, Lei Wang

SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting

Hang Ding, xue wang, Tian Zhou, Tao Yao

CIP-Net: Continual Interpretable Prototype-based Network

Federico Di Valerio, Michela Proietti, Alessio Ragno, Roberto Capobianco

Demystifying Foreground-Background Memorization in Diffusion Models

Jimmy Z. Di, Yiwei Lu, Yaoliang Yu, Gautam Kamath, Adam Dziedzic

Neural Tangent Kernels Under Stochastic Data Augmentation

Joshua DeOliveira, Sajal Chakroborty, Walter Gerych, Elke Rundensteiner

Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability

Yao Deng, Xiang Xiang, Jiaqi Gui

InfoDecom: Decomposing Information for Defending Against Privacy Leakage in Split Inference

Ruijun Deng, Zhihui Lu, Qiang Duan

Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond

Jiaxin Deng, Qingcheng Zhu, Junbiao Pang, Linlin Yang, Zhongqian Fu

FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting

Henggang Deng, Yuchao Tang, Wenjie Fu, Huandong Wang, Kun Chen

Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies

Ibrahim Delibasoglu, Sanjay Chakraborty, Fredrik Heintz, Mattias Tiger

Statistically Robust Sparse High-order Interaction Model

Diptesh Das, Ichiro Takeuchi, Koji Tsuda

Correspondence Coverage Matters for Multi-Modal Dataset Distillation

Zhuohang Dang, Minnan Luo, Chengyou Jia, Hangwei Qian, Xinyu Zhang

Veli: Unsupervised Method and Unified Benchmark for Low-Cost Air Quality Sensor Correction

Yahia Dalbah, Marcel Worring, Yen-Chia Hsu

MemoryART: Enhancing LLMs via Multi-Memory Models with Adaptive Resonance Theory for Healthcare Agents

Renke Dai, Hebin Hu, Jiahui Zhang, Yilin Kang, Ah-Hwee Tan

Learning Systems Expansion with Efficient Heterogeneity-aware Knowledge Transfer

Gaole Dai, Huatao Xu, Yifan Yang, Rui Tan, Mo Li

ShaLa: Multimodal Shared Latent Generative Modelling

Jiali Cui, Yan-Ying Chen, Yanxia Zhang, Matthew Klenk

Linear Time Algorithms for Individually Fair k-means via Multi-Swap Local Search

Beirong Cui, Qilong Feng, Junyu Huang

Causal Discovery from Interval-Based Event Sequences

Lénaïg Cornanguer, Joscha Cüppers, Jilles Vreeken

CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning

Shan Cong, Chao Yu, Xiangyuan Lan

Robust Watermarking on Gradient Boosting Decision Trees

Jun Woo Chung, Yingjie Lao, Weijie Zhao

Towards Robust Edge Model Adaptation via Elastic Architecture Search

Xianhang Chu, Xu Yang, Kun Wei, Xi Wang

Convex Clustering Redefined: Robust Learning with the Median of Means Estimator

Koustav Chowdhury, Bibhabasu Mandal, Sourav De, Sagar Ghosh, Swagatam Das

T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion

Abdul Monaf Chowdhury, Rabeya Akter, Safaeid Hossain Arib

LoGIC: Multi-LoRA Guided Importance Consensus for Multi-Task Pruning in Vision Transformers

Yu-Hong Chou, Rui Fang, Hsi-Wen Chen, Ming-syan Chen

Let the Void Be Void: Robust Open-Set Semi-Supervised Learning via Selective Non-Alignment

You Rim Choi, Subeom Park, Seojun Heo, Eunchung Noh, Hyung-Sin Kim

Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization

Yoonhyuk Choi, Jiho Choi, Taewook Ko, JongWook Kim, Chong-Kwon Kim

TabGeoFlow: A Geometric Flow Matching Model for Tabular Data Synthesis

Jong in Choi

Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs

Jeongwhan Choi, Seungjun Park, Sumin Park, Sung-Bae Cho, Noseong Park

Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges

Changxi Chi, Yufei Huang, Jun Xia, Jiangbin Zheng, Yunfan Liu

Best Arm Identification with Biased Contexts

James Cheshire, Stéphan Clémençon

Score-Based Model for Low-Rank Tensor Recovery

Zhengyun Cheng, Changhao Wang, Guanwen Zhang, Yi Xu, Wei Zhou

DesireKV: Decoupling Sensitivity and Importance for Reasoning-Aware KV Cache Compression

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

Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High Dimensions

Kangke Cheng, Shihong Song, Guanlin Mo, Hu Ding

Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching

Jiacheng Cheng, Xu Zhang, Guanghui Qiu, Yifang Zhang, Yinchuan Li

LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping

Guanjie Cheng, Mengzhen Yang, Xinkui Zhao, Shuyi Yu, Tianyu Du

Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning

Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Esteban Schafir

CoGenSAM: Codebook-Interactive Generative Labeling for Adapting SAM to Crack Segmentation

Zhuangzhuang Chen, Nuo Chen, Dachong Li, Zhiliang Lin, Xingyu Feng

INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval

Zhiwei Chen, Yupeng Hu, Zhiheng Fu, Zixu Li, Jiale Huang

Combining LLM Semantic Reasoning with GNN Structural Modeling for Multi-View Multi-Label Feature Selection

Zhiqi Chen, Yuzhou Liu, Jiarui Liu, Wanfu Gao

Gated Variational Graph Autoencoders as Experts with Competition and Consensus for Multi-view Clustering

Zhaoliang Chen, William K. Cheung, Hong-Ning Dai, Byron Choi, Jiming Liu

SIFThinker: Spatially-Aware Image Focus for Visual Reasoning

Zhangquan Chen, Ruihui Zhao, Chuwei Luo, Mingze Sun, Xinlei Yu

Multi-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain Generalization

Yuliang Chen, Xi Lin, Jun Wu, Xiangrui Cai, Qiaolun Zhang

FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data

Yue Chen, Jianfeng Lu, Shuqin Cao, Wei Wang, Gang Li

AV-SSAN: Audio-Visual Selective DOA Estimation Through Explicit Multi-Band Semantic-Spatial Alignment

Yu Chen, Hongxu Zhu, Jiadong Wang, Kainan Chen, Xinyuan Qian

Diffusion Model Based Signal Recovery Under 1-Bit Quantization

Youming Chen, Zhaoqiang Liu

Enhancing Kernel Power K-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method

Yixi Chen, Weixuan Liang, Tianrui Liu, Jun-Jie Huang, Ao Li

Detecting Unobserved Confounders: A Kernelized Regression Approach

Yikai Chen, Yunxin Mao, Chunyuan Zheng, Hao Zou, Shanzhi Gu

SchellingFormer: Laplacian Matrix-guided Geometric Transformer for Robust Schelling Point Detection

Yihao Chen, Haobo Jiang, Liang Yu, Jianmin Zheng

Active Multi-source Domain Adaptation for Multimodal Fake News Detection

Yanping Chen, Weijie Shi, Mengze Li, Yue Cui, Jiaming Li

Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning

Yanan Chen, Tieliang Gong, Yunjiao Zhang, Wen Wen

F2SST: Frequency-to-Spatial Semantic Transfer for Few-Shot Image Classification

Xueyi Chen, Bangjun Wang, Jiaqing Fan, Li Zhang, Fanzhang Li

Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size?

Xuanyu Chen, Nan Yang, Shuai Wang, Dong Yuan

XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs

Xinyang Chen, Huidong Jin, Yu Huang, Zaiwen Feng

Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation

Xinrui Chen, Hongxing Zhang, Fanyi Zeng, Yongxian Wei, Yizhi Wang

G-IR: Geometric Image Representation for Learning

Xin Chen, Qi Zhao, Wei Zeng, Zongben Xu

GCA: Geometry-aware Conditional Alignment for Partial Domain Adaptation with Coding Rate Reduction

Xiaohui Chen, Chuan-Xian Ren

Geometry-Aware Variational Information Maximization for Deep Incomplete Multi-view Clustering

Wenlan Chen, Lu Gao, Daoyuan Wang, Fei Guo, Cheng Liang

Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants

Wei Chen, Wanyang Gu, Linjun Peng, Ting Yan, Ruichu Cai

Piercing the Fog: Disentangling Key Features for Vision Models in Multi-Degradation Scenarios

Siyu Chen, Shiqiang Ma, Fei Guo

When Top-ranked Recommendations Fail: Modeling Multi-Granular Negative Feedback for Explainable and Robust Video Recommendation

Siran Chen, Boyu Chen, Chenyun YU, Yi Ouyang, Lei Cheng

FedMerge: Federated Model Merging for Personalization

Shutong Chen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

OTARo: Once Tuning for All Precisions Toward Robust On-Device LLMs

Shaoyuan Chen, Zhixuan Chen, Dawei Yang, Zhihang Yuan, Qiang Wu

Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge

Ruiming Chen, Junming Yang, Shiyu Xia, Xu Yang, Xin Geng

Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency

Rongqin Chen, Fan Mo, Pak Lon Ip, Shenghui Zhang, Dan Wu

Spatial-Frequency Spiking Neural Network for Underwater Object Detection

Long Chen, Wei Miao, Xin Gao, Yunzhi Zhuge, Hongming Xu

Generating In-Distribution Counterfactual Explanation for Graph Neural Networks

Linmao Chen, Chaobo He, Junwei Cheng, Chunying Li, Quanlong Guan

ChartEditor: A Reinforcement Learning Framework for Robust Chart Editing

Liangyu Chen, Yichen Xu, Jianzhe Ma, Yuqi Liu, Donglu Yang

FIRM-MoE:Fine-GrainedExpert Decomposition for Resource-Adaptive MoE Inference

Keyu Chen, Qihang Zhou, Bin Qian, Zhenyu Wen, Wenchao Meng

SAPO: Self-Adaptive Process Optimization Makes Small Reasoners Stronger

Kaiyuan Chen, Guangmin Zheng, Jin Wang, Xiaobing Zhou, Xuejie Zhang

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination

Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Chao Sun

Zero-shot Recommendation: Towards Class Semantic Relation Learning for Inferring Labels of Unseen Micro-videos

Junyang Chen, Huan Wang, Yirui Wu, Qiuzhen Lin, Yunfeng Diao

Sample-specific Modality Diagnosis and Cross-modal Enhancement for Incomplete Multimodal Representations

Junsong Chen, Jiyuan Liu, Suyuan Liu, Wei Zhang, Ao Li

Pseudo Multi-view K-means Clustering

Jinqian Chen, Jihua Zhu, Haoyu Tang, Qinghai Zheng

MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning

Jinhao Chen, Zhen Yang, Jianxin Shi, Tianyu Wo, Jie Tang

DC-SPAN: A Dual Contrastive Attention Network for Multi-View Clustering

Jingyi Chen, Zhibin Dong, Tiejun Li, Yibo Han

Offline Fictitious Self-Play for Competitive Games

Jingxiao Chen, Weiji Xie, Weinan Zhang, Yong Yu, Ying Wen

Conditional Distribution Learning for Graph Classification

Jie Chen, Hua Mao, Chuanbin Liu, Zhu Wang, Xi Peng

Towards Multiple Missing Values-resistant Unsupervised Graph Anomaly Detection

Jiazhen Chen, Xiuqin Liang, Sichao Fu, Zheng Ma, Weihua Ou

MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management

Jiayi Chen, Jing Li, Guiling Wang

Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute

Jianhao Chen, Zishuo Xun, Bocheng Zhou, Han Qi, Hangfan Zhang

PROMISE: Prompt-Attentive Hierarchical Contrastive Learning for Robust Cross-Modal Representation with Missing Modalities

Jiajun Chen, Sai Cheng, Yuan Yutao, YiRui Zhang, Haitao Yuan

Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance

Hongxu Chen, Ke Wei, Luo Luo

MS-PPO: Mean Standard Deviation Proximal Policy Optimization for Reliable Parking Space Search in Structured Environments

Haoming Chen, Hongliang Guo

Causality-Aligned Semantic Recovery for Incomplete Cross-Modal Retrieval

Haipeng Chen, Yu Liu, Xun Yang, Yuheng Liang, Yingda Lyu

VCGD: Visual Clue Guided Decoding with Caption Model for Mitigating Hallucination in Multimodal Large Language Models

Guoqing Chen, Fu Zhang, Bingqian Liu, Chenglong Lu, Jingwei Cheng

GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits

Gongpu Chen, Soung Chang Liew, Deniz Gündüz

OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs

Feng Chen, Yefei He, Shaoxuan He, Yuanyu He, Jing Liu

Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models

Dexia Chen, Wentao Zhang, Qianjie Zhu, Ping Hu, Weibing Li

Edge Self-Adversarial Augmentation Enhances Graph Contrastive Learning Against Neighborhood Inconsistency

Chunchun Chen, Xing Wei, Jiayi Yang, Chenrun Wang, Yiwei Fu

Extendable Planning via Multiscale Diffusion

Chang Chen, Hany Hamed, Doojin Baek, Taegu Kang, Samyeul Noh

Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models

Biao Chen, Lin Zuo, Mengmeng Jing, Kunbin He, Yuchen Wang

LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning

Chang Che, Ziqi Wang, Pengwan Yang, Cheems Wang, Hui Ma

Benchmarking Reinforcement Learning Algorithms for ICU Ventilator Settings: An Interpretable and Probabilistic Patient Environment for Doctor Agents

Ya-Hsi Chang, Po-Chih Kuo

D3ToM: Decider-Guided Dynamic Token Merging for Accelerating Diffusion MLLMs

Shuochen Chang, Xiaofeng Zhang, Qingyang Liu, Li Niu

Enhancing Medical Large Vision-Language Models via Alignment Distillation

Aofei Chang, Ting Wang, Fenglong Ma

PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork

Hohei Chan, Xinzhi Zhang, Antao Xiang, Weinan Zhang, Mengchen Zhao

Generalizing Fair Clustering to Multiple Groups: Algorithms and Applications

Diptarka Chakraborty, Kushagra Chatterjee, Debarati Das, Tien-Long Nguyen