AAAI 2025

3,486 papers

Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks

Zhiqiang Wang, Jiayu Guo, Jianqing Liang, Jiye Liang, Shiying Cheng

Noisy Correspondence Rectification via Asymmetric Similarity Learning

Yunbo Wang, YuJie Wu, Zhien Dai, Can Tian, Jun Long

FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting

Yulong Wang, Yushuo Liu, Xiaoyi Duan, Kai Wang

Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization

Yizhi Wang, Weijia Zhang, Min-ling Zhang

Dimension Reduction with Locally Adjusted Graphs

Yingfan Wang, Yiyang Sun, Haiyang Huang, Cynthia Rudin

HEROS-GAN: Honed-Energy Regularized and Optimal Supervised GAN for Enhancing Accuracy and Range of Low-Cost Accelerometers

Yifeng Wang, Yi Zhao

Revisiting Projection-Free Online Learning with Time-Varying Constraints

Yibo Wang, Yuanyu Wan, Lijun Zhang

Multi-label Self Knowledge Distillation

Xucong Wang, Pengkun Wang, Shurui Zhang, Miao Fang, Yang Wang

Quantum Best Arm Identification with Quantum Oracles

Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade, Jonathan Allcock, Mohammad Hajiesmaili

Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering

Xinxin Wang, Yongshan Zhang, Yicong Zhou

Set-Valued Sensitivity Analysis of Deep Neural Networks

Xin Wang, Feilong Wang, Xuegang (Jeff) Ban

Decentralized Federated Learning with Model Caching on Mobile Agents

Xiaoyu Wang, GUOJUN XIONG, Houwei Cao, Jian Li, Yong Liu

Global-Semantic Alignment Distillation for Partial Multi-view Classification

Xiaoli Wang, Anqi Huang, Yongli Wang, Guanzhou Ke, Xiaobin Hong

OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems

Xiangming Wang, Haijin Zeng, Jiaoyang Chen, Sheng Liu, Yongyong Chen

Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning

Xianda Wang, Yaqi Qiao, Duo Wu, Chenrui Wu, Fangxin Wang

Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training

Ting Wang, Zhixin Zhou, Rui Luo

Text2Data: Low-Resource Data Generation with Textual Control

Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai

FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement

Shanfeng Wang, Jianzhao Li, Zaitian Liu, Yourun Zhang, Maoguo Gong

Bridging Molecular Graphs and Large Language Models

Runze Wang, Mingqi Yang, Yanming Shen

Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model’s Prediction Rationality

Qitong Wang, Tang Li, Kien X. Nguyen, Xi Peng

A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes

Qingmei Wang, Yuxin Wu, Yujie Long, Jing Huang, Fengyuan Ran

Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder

Qianqian Wang, Zihao Zhang, Wei Feng, Zhiqiang Tao, Quanxue Gao

DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype

Qiang Wang, Yuhang He, Songlin Dong, Xiang Song, Jizhou Han

Pre-Trained Vision-Language Models as Noisy Partial Annotators

Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao Xia

DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis

Pan Wang, Qiang Zhou, Yawen Wu, Tianlong Chen, Jingtong Hu

JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration

Mingzi Wang, Yuan Meng, Chen Tang, Weixiang Zhang, Yijian Qin

Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery

Menglin Wang, Zhun Zhong, Xiaojin Gong

SimProF: A Simple Probabilistic Framework for Unsupervised Domain Adaptation

Meng-zhu Wang

Subgraph Invariant Learning Towards Large-Scale Graph Node Classification

Leilei Wang, Si Shi, Fei Ma, Fei Richard Yu, Pengteng Li

Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint

Juncheng Wang, Bingjie Yan, Yituo Liu

Dynamic Uncertainty Estimation for Offline Reinforcement Learning

Jiesheng Wang, Lin Li, Wei Wei, Yujia Zhang, Xin Yang

Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning

Jia Wang, Yawen Li, Yingxia Shao, Zhe Xue, Zeli Guan

IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork

Hui Wang, Renyu Yang, Jie Sun, Hao Peng, Xudong Mou

Pushing the Limits of BFP on Narrow Precision LLM Inference

Hui Wang, Yuan Cheng, Xiaomeng Han, Zhengpeng Zhao, Dawei Yang

CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting

Haoxin Wang, Yipeng Mo, Kunlan Xiang, Nan Yin, Honghe Dai

Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness

Haoming Wang, Wei Gao

Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery

Hao Wang, Biqin Song, Hao Deng, Hong Chen

Are Expressive Models Truly Necessary for Offline RL?

Guan Wang, Haoyi Niu, Jianxiong Li, Li Jiang, Jianming HU

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning

Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao

Towards Learnable Anchor for Deep Multi-View Clustering

Bocheng Wang, Chusheng Zeng, Mulin Chen, Xuelong Li

IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities

Bin Wang, Chunyu Xie, Dawei Leng, Yuhui Yin

On the Relationship Between Monotone and Squared Probabilistic Circuits

Benjie Wang, Guy Van den Broeck

Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt

Benfeng Wang, Chao Huang, Jie Wen, Wei Wang, Yabo Liu

Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates

Baozhen Wang, Xingye Qiao

Expressive Power of Temporal Message Passing

Przemysław Andrzej Wałęga, Michael Rawson

Differentially Private Prototypes for Imbalanced Transfer Learning

Dariush Wahdany, Matthew Jagielski, Adam Dziedzic, Franziska Boenisch

SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks

Mátyás Vincze, Laura Ferrarotti, Leonardo Lucio Custode, Bruno Lepri, Giovanni Iacca

Epistemic Bellman Operators

Pascal R. van der Vaart, Matthijs T. J. Spaan, Neil Yorke-Smith

CODE: Confident Ordinary Differential Editing

Bastien van Delft, Tommaso Martorella, Alexandre Alahi

CTD4 – a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics

David Valencia, Henry Williams, Yuning Xing, Trevor Gee, Bruce A MacDonald

Investigating Relational State Abstraction in Collaborative MARL

Sharlin Utke, Jeremie Houssineau, Giovanni Montana

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes

Alexander Tyurin

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning

Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu

InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series

Viet-Hung Tran, Zichi Zhang, Tuan Dung Pham, Ngoc Phu Doan, Anh-Tuan Hoang

Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows

Suxin Tong, Jingling Yuan

ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets

Tomas Tokar, Scott Sanner

An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems

Haoxiang Tian, Xingshuo Han, Guoquan Wu, An Guo, Yuan Zhou

HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting

Changyuan Tian, Zhicong Lu, Zequn Zhang, Heming Yang, Wei Cao

On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages

Aleksandar Terzic, Michael Hersche, Giacomo Camposampiero, Thomas Hofmann, Abu Sebastian

Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach

Georgios Tertytchny, Georgios L. Stavrinides, Maria K. Michael

A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods

Piotr Tempczyk, Łukasz Garncarek, Dominik Filipiak, Adam Kurpisz

MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse

Zijian Tao, Shao-Yuan Li, Wenhai Wan, Jinpeng Zheng, Jia-Yao Chen

Feature Clipping for Uncertainty Calibration

Linwei Tao, Minjing Dong, Chang Xu

Reputation-aware Revenue Allocation for Auction-based Federated Learning

Xiaoli Tang, Han Yu

Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation

PeiYuan Tang, Xiaodong Zhang, Chunze Yang, Haoran Yuan, Jun Sun

Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates

Keke Tang, Ziyong Du, Weilong Peng, Xiaofei Wang, Daizong Liu

Hybrid Data-Free Knowledge Distillation

Jialiang Tang, Shuo Chen, Chen Gong

Model Lineage Closeness Analysis

Chen Tang, Lan Zhang, Qi Zhao, Xirong Zhuang, Xiang-Yang Li

FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks

Da Sun Handason Tam, Huanle Xu, Yang Liu, Siyue Xie, Wing Cheong Lau

Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence

Shayan Talaei, Matin Ansaripour, Giorgi Nadiradze, Dan Alistarh

Improving Private Random Forest Prediction Using Matrix Representation

Arisa Tajima, Joie Wu, Amir Houmansadr

TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data

Ege Onur Taga, Muhammed Emrullah Ildiz, Samet Oymak

Learn How to Query from Unlabeled Data Streams in Federated Learning

Yuchang Sun, Xinran Li, Tao LIN, Jun Zhang

Hierarchical Classification Auxiliary Network for Time Series Forecasting

Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu

Attentive Eraser: Unleashing Diffusion Model’s Object Removal Potential via Self-Attention Redirection Guidance

Wenhao Sun, Xue-Mei Dong, Benlei Cui, Jingqun Tang

Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters

Weigao Sun, Yongtuo Liu, Xiaqiang Tang, Xiaoyu Mo

Online MDP with Prototypes Information: A Robust Adaptive Approach

Shuo Sun, Meng Qi, Zuo-Jun Max Shen

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness

Qingqiang Sun, Chaoqi Chen, Ziyue Qiao, Xubin Zheng, Kai Wang

MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning

Hai-Long Sun, Da-Wei Zhou, Hanbin Zhao, Le Gan, De-Chuan Zhan

Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning

Chenglu Sun, Shuo Shen, Wenzhi Tao, Deyi Xue, Zixia Zhou

BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models

Chengkun Sun, Jinqian Pan, Russell Stevens Terry, Jiang Bian, Jie Xu

Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities

Chengkun Sun, Jinqian Pan, Zhuoli Jin, Russell Stevens Terry, Jiang Bian

Graph Consistency and Diversity Measurement for Federated Multi-View Clustering

Bohang Sun, Yongjian Deng, Yuena Lin, Qiuru Hai, Zhen Yang

Probabilistic Explanations for Linear Models

Bernardo Subercaseaux, Marcelo Arenas, Kuldeep S. Meel

Risk-averse Total-reward MDPs with ERM and EVaR

Xihong Su, Marek Petrik, Julien Grand-Clément

Multi-view Granular-ball Contrastive Clustering

Peng Su, Shudong Huang, Weihong Ma, Deng Xiong, Jiancheng Lv

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks

Junwei Su, Shan Wu

WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling

Huai-An Su, Jiaxiang Geng, Liang Li, Xiaoqi Qin, Yanzhao Hou

DiCA: Disambiguated Contrastive Alignment for Cross-Modal Retrieval with Partial Labels

Chao Su, Huiming Zheng, Dezhong Peng, Xu Wang

xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition

Artyom Stitsyuk, Jaesik Choi

On Local Overfitting and Forgetting in Deep Neural Networks

Uri Stern, Tomer Yaacoby, Daphna Weinshall

Witty: An Efficient Solver for Computing Minimum-Size Decision Trees

Luca Pascal Staus, Christian Komusiewicz, Frank Sommer, Manuel Sorge

Behaviour Preference Regression for Offline Reinforcement Learning

Padmanaba Srinivasan, William Knottenbelt

Online and Streaming Algorithms for Constrained k-Submodular Maximization

Fabian Christian Spaeh, Alina Ene, Huy Nguyen

Functional Connectomes of Neural Networks

Tananun Songdechakraiwut, Yutong Wu

Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization

Yeji Song, Jimyeong Kim, Wonhark Park, Wonsik Shin, Wonjong Rhee

Exploring Rationale Learning for Continual Graph Learning

Lei Song, Jiaxing Li, Qinghua Si, Shihan Guan, Youyong Kong

MORE: Molecule Pretraining with Multi-Level Pretext Task

Yeongyeong Son, Dasom Noh, Gyoungyoung Heo, Gyoung Jin Park, Sunyoung Kwon

Difficulty-aware Balancing Margin Loss for Long-tailed Recognition

Minseok Son, Inyong Koo, Jinyoung Park, Changick Kim

Higher Order Structures for Graph Explanations

Akshit Sinha, Sreeram Vennam, Charu Sharma, Ponnurangam Kumaraguru