AAAI 2026

4,920 papers

Unsupervised Feature Selection Through Group Discovery

Shira Lifshitz, Ofir Lindenbaum, Gal Mishne, Ron Meir, Hadas Benisty

Direction Sensitivity–Based Knowledge Distillation: Optimization-Aware Low-Rank Knowledge Transfer

Yongkai Liao, Xinxing Chen, Zhongzheng Fu, Haoyuan Wang, Jian Huang

EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning In Vision Transformers

Wenwen Liao, Hang Ruan, Jianbo Yu, Bing Song, Yuansong Wang

From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning

Weiran Liao, Jielong Lu, Yuhong Chen, Shide Du, Hongrong Chen

Dynamic Semantic Tokenization for Time Series via Elastic Sampling on Physics-aware Perception

Huaizhang Liao, Zhixiong Yang, Jingyuan Xia, Yuheng Sun, Yue Zhang

DarkFarseer: Robust Spatio-Temporal Kriging Under Graph Sparsity and Noise

Zhuoxuan Liang, Wei Li, Dalin Zhang, Ziyu Jia, Yidan Chen

Attribute-guided Dynamic Prompt Learning for Graph Neural Networks

Zhuomin Liang, Liang Bai, Xian Yang

Enhancing Spatial Reasoning Through Visual and Textual Thinking

Xun Liang, Xin Guo, Zhongming Jin, Weihang Pan, Penghui Shang

On the Impact of Weight Quantization on Deep Neural Network Uncertainty

Shuang Liang, Xun Lu, Zi-Ang Liu, Ming-Liang Wang, Yan Lyu

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning

Jinhao Liang, Sven Koenig, Ferdinando Fioretto

Near-optimal Linear Predictive Clustering in Non-separable Spaces via MIP and QPBO Reductions

Jiazhou Liang, Hassan Khurram, Scott Sanner

An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses

Hao Liang, Wanrong Zhang, Xinlei He, Kaishun Wu, Hong Xing

DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting

Daojun Liang, Jing Chen, Xiao Wang, Yinglong Wang, Shuo Li

Fair Domain Generalization: An Information-Theoretic View

Tangzheng Lian, Guanyu Hu, Dimitrios Kollias, Xinyu Yang, Oya Celiktutan

ReTrack: Evidence-Driven Dual-Stream Directional Anchor Calibration Network for Composed Video Retrieval

Zixu Li, Yupeng Hu, Zhiwei Chen, Qinlei Huang, Guozhi Qiu

Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency

Zihan Li, Wei Sun, Jing Hu, Jianhua Yin, Xing Wang

CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness

Zhuo Li, Gengyu Lyu, Yuena Lin, Ziang Chen, Zhiyuan Ma

Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies

Zhongnian Li, Lan Chen, Yixin XU, Shi Xu, Xinzheng Xu

Federated Vision-Language-Recommendation with Personalized Fusion

Zhiwei Li, Guodong Long, Jing Jiang, Chengqi Zhang, Qiang Yang

ReLUPruner: Rethinking ReLU Importance with Taylor Expansion for Efficient Private Inference

Zhenpeng Li, Jinshuo Liu, Xinyan Wang, Lina Wang, Jeff Z. Pan

Learnable Permutation for Structured Sparsity on Transformer Models

Zekai Li, Ji Liu, Guanchen Li, Yixing Xu, Ziqiong Liu

FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training

Yuyuan Li, Junjie Fang, Fengyuan Yu, Xichun Sheng, Tianyu Du

TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning

Yuxuan Li, Yicheng Gao, Ning Yang, Stephen Xia

Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks

Yue Li, Weifan Wang, Tai Sing Lee

DISC: Dynamic Feature Selection for Cost-Sensitive Medical Diagnosis

Yu-Sheng Li, Xincen Duan, Beili Wang, Wei Guo, Han-Jia Ye

LLA: Enhancing Security and Privacy for Generative Models with Logic-Locked Accelerators

You Li, Guannan Zhao, Yuhao Ju, Yunqi He, Jie Gu

Beyond Retraining: Training-Free Unknown Class Filtering for Source-Free Open Set Domain Adaptation of Vision–Language Models

Yongguang Li, Jindong Li, Qi Wang, Qianli Xing, Runliang Niu

FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning

Yichen Li, Hang Su, Huifa Li, Haolin Yang, Xinlin Zhuang

A Causal Target for Learning to Defer Under Hidden Confounding

Yanmin Li, Lihua Liu, Xin Wang, Zhilong Mao, Jibing Wu

Generalizing Vision-Language Models with Dedicated Prompt Guidance

Xinyao Li, Yinjie Min, Hongbo Chen, Zhekai Du, Fengling Li

Spatio-Temporal Hierarchical Causal Models

Xintong Li, Haoran Zhang, Xiao Zhou

Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier

Xinpeng Li, Kai Ming Ting

Annealed Relaxation of Speculative Decoding for Faster Autoregressive Image Generation

Xingyao Li, Fengzhuo Zhang, Cunxiao Du, Hui Ji

Uncovering Hidden Degeneration: A Physics-Guided Bidirectional Inference Framework for Industrial Time Series Prediction

Xingwang Li, Fei Teng, Xin Wu, Qiang Duan

Semi-Supervised Regression by Preserving Ranking Relationships Between Close Unlabeled Samples

Ximing Li, Jiaxuan Jiang, Changchun Li, You Lu, Renchu Guan

HAP: Harmonized Amplitude Perturbation for Cross-Domain Few-Shot Learning

Wenqian Li, Pengfei Fang, hui xue

GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI

Tianbin Li, Yanzhou Su, Wei Li, BIN FU, Zhe Chen

State Proficiency-Based Adaptive Fine-Tuning for Offline-to-Online Reinforcement Learning

Songlin Li, Wei Xiao, Hao Wu, Xiaodan Zhang, Daolong An

MIDILM: A Dual-Path Model for Controllable Text-to-MIDI Generation

Shuyu Li, Dooho Choi, Yunsick Sung

MoE-Guided Graph Diffusion for Oriented Molecule Design

Shuochen Li, Xiangqi Guo, Huobin Tan, Lei Shi

Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation

Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan

Dormant Backdoor: Weaponizing Model Finetuning for Feasible Backdoor Attacks Against Pretrained Models

Ruitao Li, Jiakai Wang, Hairong Chen, Huihu Ding, Jinghan Zhou

AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting

Renda Li, Hailang Huang, Fei Wei, Feng Xiong, Yong Wang

Transformers in Pseudo-Random Number Generation: A Dual Perspective on Theory and Practice

Ran Li, Lingshu Zeng

Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels

Qiyu Li, Xianxian Li, De Li, Jinyan Wang

AIM: Manifold-based Data Filtering for Representation Finetuning

Qing Li, Qibin Zheng, Yi Liu, Xingchun Diao

Counterfactual-based Cognitive Alignment In-Context Learning for Relation Extraction

Qibin Li, Shengyuan Bai, Nai Zhou, Nianmin Yao

Permutation Equivariant Framelet-based Hypergraph Neural Networks

Ming Li, Yi Wang, Chengling Gao, Lu Bai, Yujie Fang

Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs

Ming Li, Yongqi Li, Yuting Chen, Feilong Cao, Ke Lv

HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters

Ming Li, Ruiting Zhao, Zihao Yan, Lu Bai, Lixin Cui

Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction

Ming Li, Huiting Wang, Yuting Chen, Lu Bai, Lixin Cui

HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning

Ming Li, Zhanle Zhu, Xinyi Li, Lu Bai, Lixin Cui

High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks

Ming Li, Yujie Fang, Dongrui Shen, Han Feng, Xiaosheng Zhuang

Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation

Ming Li, Zihao Yan, Yuting Chen, Lixin Cui, Lu Bai

Difficulty-Aware Learning Curve Extrapolation

Mengyang Li, Pinlong Zhao

Rethinking Open-world Prompt Tuning: A Systematic Framework for Evaluation and Optimization

Mengwei Li, Zilei Wang, Yixin Zhang

From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning

Meiju Li, Ruixiang Sun, Xin Li, Mingzhong Wang

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging

Lujun Li, Qiyuan Zhu, Jiacheng Wang, Xiaoyu Qin, Wei Li

Stratified Knowledge-Density Super-Network for Scalable Vision Transformers

Longhua Li, Lei Qi, Xin Geng

C-GNN-PRUNE: A Unified Graph-Based Framework for Structure-Aware Pruning of Mixture-of-Experts Models

Lin Li, Yan Wang, Zhuopeng Wang

BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning

Lan Li, Tao Hu, Da-Wei Zhou, Jia-Qi Yang, Han-Jia Ye

Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction

Kanxue Li, Yibing Zhan, Hua Jin, Chongchong Qi, Xu Lin

Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation

Jiao Li, Jian Lang, Xikai Tang, Wenzheng Shu, Ting Zhong

Palimpsest: Reconciling the CISS Trilemma for Incremental Nuclei Segmentation

Jiajia Li, Huisi Wu

Bridging Modalities via Progressive Re-alignment for Multimodal Test-Time Adaptation

Jiacheng Li, Songhe Feng

Balancing Multimodal Domain Generalization via Gradient Modulation and Projection

Hongzhao Li, Guohao Shen, Shupan Li, Mingliang Xu, Muhammad Haris Khan

DANS-KGC: Diffusion Based Adaptive Negative Sampling for Knowledge Graph Completion

Haoning Li, Qinghua Huang

CommitMoE: Efficient Fallback-Free MoE Inference with Offloading Under GPU Memory Constraints

Han Li, Jingwei Sun, Junqing Lin, Guangzhong Sun

Positive Definite Sparse Covariance Estimation via Dual Space Optimization

Fengpei Li, Wenfu Xia, Ziping Zhao

Maximizing Schatten-p Norm Regularization Toward Balance

Fangfang Li, Quanxue Gao, Yapeng Wang, Yu Duan, Yuzhuo Feng

DeloopSGNN: Revisiting Spectral GNNs Through the Lens of Spatial Aggregation

Duanyu Li, Huijun Wu, Min Xie, Kai Lu, Wenzhe Zhang

MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery

Dong Li, Zhengzhang Chen, Xujiang Zhao, Linlin Yu, Zhong Chen

Membership Inference Attack Against Large Language Model-Based Recommendation Systems: A New Distillation-Based Paradigm

Cuihong Li, Xiaowen Huang, Chuanhuan Yin, Jitao Sang

METP: Multi-Granularity Integration of External Covariates for Temporal Point Processes

Boyang Li, Lingzheng Zhang, Fugee Tsung, Xi Zhang

Probabilistic Hash Embeddings for Online Learning of Categorical Features

Aodong Li, Abishek Sankararaman, Balakrishnan Murali Narayanaswamy

Exploiting Space Folding by Neural Networks

Michal Lewandowski, Raphael Pisoni, Bernhard Heinzl, Bernhard A. Moser

Tab-PET: Graph-Based Positional Encodings for Tabular Transformers

Yunze Leng, Rohan Ghosh, Mehul Motani

TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning

Qifeng Lei, Zhiyong Yang, Qianqian Xu, Cong Hua, Peisong Wen

FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs

Royson Lee, Minyoung Kim, Fady Rezk, Rui Li, Stylianos I. Venieris

Continuum Dropout for Neural Differential Equations

Jonghun Lee, YongKyung Oh, Sungil Kim, Dong-Young Lim

Communication-Efficient Heterogeneous Federated Learning with Sparse Prototypes in Resource-Constrained Environments

Gyuejeong Lee, Daeyoung Choi

OnEDIT: Online Editing with Decoupled Implicit Task for Large Language Models

Chae-Won Lee, Jae-Hong Lee, Ji-Hun Kang, Joon-Hyuk Chang

Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information

Antoine Ledent, Soo Mun Chong, Nong Minh Hieu

Adversarial Perturbation Shield: Preventing Concept Bleed-through in Continual Learning of Personalized Generative Models

Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

Cooperative Graph Transformer with Structural Consensus for Multi-View Learning

Zhiyuan Lai, Jiacheng Li, Jiayuan Wang, Shiping Wang

Generalizable Heterogeneity-aware Federated Feature and Basic-matrix Consistency Learning

Xuan Lai, Luying Zhong, Tianying Lu, Junjie Zhang, Zhiqin Huang

Stabilizing Spiking Neurons Through Biologically Inspired Polarization

Matthew Lai, Longbing Cao

Fairness Aware Reinforcement Learning via Proximal Policy Optimization

Gabriele La Malfa, Jie M. Zhang, Michael Luck, Elizabeth Black

HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models

Young D. Kwon, Rui Li, Sijia Li, Da Li, Sourav Bhattacharya

Enhancing Control Policy Smoothness by Aligning Actions with Predictions from Preceding States

Kyoleen Kwak, Hyoseok Hwang

DIET: Machine Unlearning on a Data-Diet

Nilakshan Kunananthaseelan, Jing Wu, Trung Le, Gholamreza Haffari, Mehrtash Harandi

MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence

Sonal Kumar, Šimon Sedláček, Vaibhavi Lokegaonkar, Fernando López, Wenyi Yu

Cliqueformer: Model-Based Optimization with Structured Transformers

Jakub Grudzien Kuba, Pieter Abbeel, Sergey Levine

Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks

Deniz Koyuncu, Alex Gittens, Bulent Yener, Moti Yung

Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms

Ezgi Korkmaz

Time Series Forecasting via Direct Per-Step Probability Distribution Modeling

Linghao Kong, Xiaopeng Hong

LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention

Toshiaki Koike-Akino, Xiangyu Chen, Jing Liu, Ye Wang, Pu (Perry) Wang

On Logical Extrapolation for Mazes with Recurrent and Implicit Networks

Brandon Knutson, Amandin Chyba Rabeendran, Michael Ivanitskiy, Jordan Pettyjohn, Cecilia Diniz Behn

Object-Centric Latent Action Learning

Albina Klepach, Alexander Nikulin, Ilya Zisman, Denis Tarasov, Alexander Derevyagin

Robust Detection of Synthetic Tabular Data Under Schema Variability

G. Charbel N. Kindji, Elisa Fromont, Lina M. Rojas-Barahona, Tanguy Urvoy