AAAI 2025

3,486 papers

BiMAC: Bidirectional Multimodal Alignment in Contrastive Learning

Masoumeh Zareapoor, Pourya Shamsolmoali, Yue Lu

Class Semantic Attribute Perception Guided Zero-Shot Learning

Qin Yue, Junbiao Cui, Jianqing Liang, Liang Bai

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models

Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji

Contextual Structure Knowledge Transfer for Graph Neural Networks

Zhiyuan Yu, Wenzhong Li, Zhangyue Yin, Xiaobin Hong, Shijian Xiao

Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation

Zhiqi Yu, Zhichao Liao, Jingjing Li, Zhi Chen, LEI ZHU

AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation

Zhidong Yu, Xiaoman Liu, Jiajun Hu, Zhenbo Shi, Wei Yang

Modeling Inter-Intra Heterogeneity for Graph Federated Learning

Wentao Yu, Shuo Chen, Yongxin Tong, Tianlong Gu, Chen Gong

FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks

Kairong Yu, Tianqing Zhang, Hongwei Wang, Qi Xu

Treasures in Discarded Weights for LLM Quantization

Hao Yu, Yang Zhou, Bohua Chen, Zelan Yang, Shen Li

S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation

Mu You, Fang Zhang, SHUAI ZHANG, Linli Xu

LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs

Kihyuk Yoon, Chiehyeon Lim

In-Context Policy Adaptation via Cross-Domain Skill Diffusion

Minjong Yoo, Woo Kyung Kim, Honguk Woo

Exploring the Better Multimodal Synergy Strategy for Vision-Language Models

Xiaotian Yin, Xin Liu, Si Chen, Yuan Wang, Yuwen Pan

Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting

Tianyi Yin, Jingwei Wang, Yunlong Ma, Han Wang, Chenze Wang

Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer

Mingze Yin, Hanjing Zhou, Yiheng Zhu, Jialu Wu, Wei Wu

Reducing Divergence in Batch Normalization for Domain Adaptation

Ellen Yi-Ge, Mingjing Wu, Zhenghan Chen

pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning

Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu

Speed Master: Quick or Slow Play to Attack Speaker Recognition

Zhe Ye, Wenjie Zhang, Ying Ren, Xiangui Kang, Diqun Yan

Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models

Weihao Ye, Qiong Wu, Wenhao Lin, Yiyi Zhou

AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent

Hangyu Ye, Weiying Xie, Yunsong Li, Leyuan Fang

Lifelong Scalable Generative System via Online Maximum Mean Discrepancy

Fei Ye, Adrian G. Bors

Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling

Fei Ye, Adrian G. Bors, Kun Zhang

Continual Unsupervised Generative Modelling via Online Optimal Transport

Fei Ye, Adrian G. Bors, Kun Zhang

Selective Visual Prompting in Vision Mamba

Yifeng Yao, Zichen Liu, Zhenyu Cui, Yuxin Peng, Jiahuan Zhou

ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression

Kai Yao, Zhaorui Tan, Tiandi Ye, Lichun Li, Yuan Zhao

Asynchronous Distributed Gaussian Process Regression

Zewen Yang, Xiaobing Dai, Sandra Hirche

AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks

Zekang Yang, Wang Zeng, Sheng Jin, Chen Qian, Ping Luo

Safe Online Convex Optimization with Heavy-Tailed Observation Noises

Yunhao Yang, Bo Xue, Yunzhi Hao, Ying Li, Yuanyu Wan

Fast Multi-Instance Partial-Label Learning

Yin-Fang Yang, Wei Tang, Min-ling Zhang

First-Order Federated Bilevel Learning

Yifan Yang, Peiyao Xiao, Shiqian Ma, Kaiyi Ji

Conditional Diffusion Models Based Conditional Independence Testing

Yanfeng Yang, Shuai Li, Yingjie Zhang, Zhuoran Sun, Hai Shu

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning

Yaming Yang, Dilxat Muhtar, Yelong Shen, Yuefeng Zhan, Jianfeng Liu

A Generalizable Anomaly Detection Method in Dynamic Graphs

Xiao Yang, Xuejiao Zhao, Zhiqi Shen

Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting

Sifan Yang, Yuanyu Wan, Lijun Zhang

Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology

Liang Yang, Zhenna Li, Jiaming Zhuo, Jing Liu, Ziyi Ma

CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination

Kaicheng Yang, Tiancheng Gu, Xiang An, Haiqiang Jiang, Xiangzi Dai

A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset

Junhuan Yang, Yuzhou Zhang, Yi Sheng, Youzuo Lin, Lei Yang

GAS: Generative Activation-Aided Asynchronous Split Federated Learning

Jiarong Yang, Yuan Liu

Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios

Huanhuan Yang, Dianxi Shi, Songchang Jin, Guojun Xie, Yang Chen

Memory-Reduced Meta-Learning with Guaranteed Convergence

Honglin Yang, Ji Ma, Xiao Yu

Bridging Sequence-Structure Alignment in RNA Foundation Models

Heng Yang, Renzhi Chen, Ke Li

Structured IB: Improving Information Bottleneck with Structured Feature Learning

Hanzhe Yang, Youlong Wu, Dingzhu Wen, Yong Zhou, Yuanming Shi

Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport

Yuguang Yan, Canlin Yang, Yuanlin Chen, Ruichu Cai, Michael Ng

FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis

Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen

HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting

Fengyu Yan, Xiaobao Wang, Dongxiao He, Longbiao Wang, Jianwu Dang

Explanation Bottleneck Models

Shin'ya Yamaguchi, Kosuke Nishida

Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows

Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born, Lars Schmidt-Thieme

Tensorized Label Learning Based Fast Fuzzy Clustering

Xingyu Xue, Jingjing Xue, Quanxue Gao, Qianqian Wang

Adaptive Market Making with Inventory Constraints via Online Learning

Shan Xue, Ye Du, Liang Xu

Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits

Bo Xue, Xi Lin, Xiaoyuan Zhang, Qingfu Zhang

Clustering by Mining Density Distributions and Splitting Manifold Structure

Zhichang Xu, Zhiguo Long, Hua Meng

Revisiting Interpolation for Noisy Label Correction

Yuanzhuo Xu, Xiaoguang Niu, jie Yang, Ruiyi Su, Jian Zhang

Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning?

Yanchen Xu, Siqi Huang, Hongyuan Zhang, Xuelong Li

PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection

Xiaoran Xu, Jiangang Yang, Wenhui Shi, Siyuan Ding, Luqing Luo

Neural Networks Perform Sufficient Dimension Reduction

Shuntuo Xu, Zhou Yu

Noisy Label Calibration for Multi-View Classification

Shilin Xu, Yuan Sun, Xingfeng Li, Siyuan Duan, Zhenwen Ren

Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints

Qinfu Xu, Yiwei Wei, Chunlei Wu, Leiquan Wang, Shaozu Yuan

Textualize Visual Prompt for Image Editing via Diffusion Bridge

Pengcheng Xu, Qingnan Fan, Fei Kou, Shuai Qin, Hong Gu

PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization

Mingjing Xu, Peizhong Ju, Jia Liu, Haibo Yang

Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation

Jinda Xu, Yuhao Song, Daming Wang, Weiwei Zhao, Minghua Chen

Federated Learning with Sample-level Client Drift Mitigation

Haoran Xu, Jiaze Li, Wanyi Wu, Hao Ren

ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection

Haonan Xu, Yang Yang

Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction

Deng Xu, Chao Zhang, Cong Guo, Chunlin Chen, Huaxiong Li

NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning

Zhang Xiong, Cheng Xie, Haoran Duan, Beibei Yu

Pilot: Building the Federated Multimodal Instruction Tuning Framework

Baochen Xiong, Xiaoshan Yang, Yaguang Song, Yaowei Wang, Changsheng Xu

Flexible Sharpness-Aware Personalized Federated Learning

Xinda Xing, Qiugang Zhan, Xiurui Xie, Yuning Yang, Qiang Wang

LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing

Weiwei Xing, Yue Cheng, Hongzhu Yi, Xiaohui Gao, Xiang Wei

One Node One Model: Featuring the Missing-Half for Graph Clustering

Xuanting Xie, Bingheng Li, ErLin Pan, Zhaochen Guo, Zhao Kang

K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach

Linhuang Xie, Shihao Gao, Jie Liu, Ming Yin, Taisong Jin

Multi-Subspace Matrix Recovery from Permuted Data

Liangqi Xie, Jicong Fan

Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework

Wei Xiao, Hongbin Wang, Ming He, Nianbin Wang

FIND: A Framework for Discovering Formulas in Data

Tingxiong Xiao, Yuxiao Cheng, Jinli Suo

MCGAN: Enhancing GAN Training with Regression-Based Generator Loss

Baoren Xiao, Hao Ni, Weixin Yang

Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications

Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang

Clean-Label Graph Backdoor Attack in the Node Classification Task

Hui Xia, Xiangwei Zhao, Rui Zhang, Shuo Xu, Luming Wang

Hierarchical Consensus Network for Multiview Feature Learning

Chengwei Xia, Chaoxi Niu, Kun Zhan

ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction

Zhixiao Wu, Yao Lu, Jie Wen, Guangming Lu

Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting

Yuhan Wu, Xiyu Meng, Huajin Hu, Junru Zhang, Yabo Dong

Non-Convex Tensor Recovery from Local Measurements

Tongle Wu, Ying Sun, Jicong Fan

KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering

Tingting Wu, Zhendong Li, Zhibin Gu, Jiazheng Yuan, Songhe Feng

PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers

Siyuan Wu, Yongzhe Jia, Bowen Liu, Haolong Xiang, Xiaolong Xu

Spiking Point Transformer for Point Cloud Classification

Peixi Wu, Bosong Chai, Hebei Li, Menghua Zheng, Yansong Peng

Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs

Nannan Wu, Yazheng Zhao, Hongdou Dong, Keao Xi, Wei Yu

Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning

Liang Wu, Ruixi Hu, Yunwen Lei

APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning

Hong-Wei Wu, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng

Revisiting Attention for Multivariate Time Series Forecasting

Haixiang Wu

Fully-Scalable Massively Parallel Algorithm for k-center with Outliers

Di Wu, Qilong Feng, Junyu Huang, Jinhui Xu, Ziyun Huang

Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference

Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane

Measuring Cross-Modal Interactions in Multimodal Models

Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik

SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks

Yongyan Wen, Siyuan Li, Rongchang Zuo, Lei Yuan, Hangyu Mao

Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning

Yaoquan Wei, Shunyu Liu, Jie Song, Tongya Zheng, Kaixuan Chen

Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack

Qi Wei, Shuo He, Jiahan Zhang, Lei Feng, Bo An

Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning

Kun Wei, Zhe Xu, Cheng Deng

Multi-View Multi-Label Classification via View-Label Matching Selection

Hao Wei, Yongjian Deng, Qiuru Hai, Yuena Lin, Zhen Yang

FlexPose: Pose Distribution Adaptation with Limited Guidance

Zixiao Wang, Junwu Weng, Mengyuan Liu, Bei Yu

Multi-Instance Multi-Label Classification from Crowdsourced Labels

Ziquan Wang, Mingxuan Xia, Xiangyu Ren, Jiaqing Zhou, Gengyu Lyu

Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens

Zichen Wang, Feng Yan, Tianyi Wang, Cong Wang, Yuanchao Shu

TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering

Zhongwen Wang, Xingfeng Li, Yinghui Sun, Quansen Sun, Yuan Sun

Enhanced Denesity Peak Clustering for High-Dimensional Data

Zhongli Wang, jie Yang, Junyi Guan, Chenglong Zhang, Xinyan Liang

Generalization of Graph Neural Networks Is Robust to Model Mismatch

Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro