AAAI 2025

3,486 papers

Solving Multiagent Path Finding on Highly Centralized Networks

Foivos Fioravantes, Dusan Knop, Jan Matyáš Křištan, Nikolaos Melissinos, Michal Opler

Exact Algorithms for Multiagent Path Finding with Communication Constraints on Tree-Like Structures

Foivos Fioravantes, Dusan Knop, Jan Matyáš Křištan, Nikolaos Melissinos, Michal Opler

Optimising Spatial Teamwork Under Uncertainty

Gregory Everett, Ryan J. Beal, Tim Matthews, Timothy J. Norman, Sarvapali D. Ramchurn

Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach

S. Rasoul Etesami, R. Srikant

Contract-based Design and Verification of Multi-Agent Systems with Quantitative Temporal Requirements

Rafael Dewes, Rayna Dimitrova

Intelligent OPC Engineer Assistant for Semiconductor Manufacturing

Guojin Chen, Haoyu Yang, Bei Yu, Haoxing Ren

Orpheus: Engineering Multiagent Systems via Communicating Agents

Matteo Baldoni, Samuel H. Christie V, Munindar P. Singh, Amit K. Chopra

MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale

Anton Andreychuk, Konstantin Yakovlev, Aleksandr Panov, Alexey Skrynnik

Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island Coevolution

Adam Żychowski, Andrew Perrault, Jacek Mańdziuk

Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval

Ruifan Zuo, Chaoqun Zheng, LEI ZHU, Wenpeng Lu, Yuanyuan Xiang

GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions

Heda Zuo, Weitao You, Junxian Wu, Shihong Ren, Pei Chen

Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks

Yuankun Zu, Shiyu Xia, Xu Yang, Qiufeng Wang, Han Zhang

LoRID: Low-Rank Iterative Diffusion for Adversarial Purification

Geigh Zollicoffer, Minh N. Vu, Ben Nebgen, Juan Castorena, Boian Alexandrov

Image-to-video Adaptation with Outlier Modeling and Robust Self-learning

Junbao Zhuo, Shuhui Wang, Zhenghan Chen, Li Shen, Qingming Huang

Constrained Offline Black-Box Optimization via Risk Evaluation and Management

Yiyi Zhu, Huakang Lu, Yupeng Wu, Shuo Liu, Jing-Wen Yang

Single-Loop Federated Actor-Critic across Heterogeneous Environments

Ye Zhu, Xiaowen Gong

Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update

Zikun Zhou, Wen Huang, Xingyi Wang, Zhishuo Zhang, Zhun Zhang

Training Deep Neural Networks with Virtual Smoothing Classes

Zhiyang Zhou, Siwei Wei, Xudong Zhang, Wensheng Dou, Muzi Qu

Fully Test-time Adaptation for Tabular Data

Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yu-feng Li

Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL

Yihe Zhou, Yuxuan Zheng, Yue Hu, Kaixuan Chen, Tongya Zheng

FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning

Yanbing Zhou, Xiangmou Qu, Chenlong You, Jiyang Zhou, Jingyue Tang

Design Principle Transfer in Neural Architecture Search via Large Language Models

Xun Zhou, Xingyu Wu, Liang Feng, Zhichao Lu, Kay Chen Tan

Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning

Xiaoling Zhou, Ou Wu, Nan Yang

QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models

Qirui Zhou, Yuanbo Wen, Ruizhi Chen, KE GAO, Weiqiang Xiong

Causally Consistent Normalizing Flow

Qingyang Zhou, Kangjie Lu, Meng Xu

FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation

Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Wenkai Shen

On Probabilistic Truncation in Privacy-preserving Machine Learning

Lijing Zhou, Bingsheng Zhang, Ziyu Wang, Tianpei Lu, Qingrui Song

All You Need in Knowledge Distillation Is a Tailored Coordinate System

Junjie Zhou, Ke Zhu, Jianxin Wu

ProtCLIP: Function-Informed Protein Multi-Modal Learning

Hanjing Zhou, Mingze Yin, Wei Wu, Mingyang Li, Kun Fu

Factor Augmented Tensor-on-Tensor Neural Networks

Guanhao Zhou, Yuefeng Han, Xiufan Yu

AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning

Guangchong Zhou, Zeren Zhang, Guoliang Fan

Dynamic Operator Optimization for Efficient Multi-Tenant LoRA Model Serving

Changhai Zhou, Yuhua Zhou, Shiyang Zhang, Yibin Wang, Zekai Liu

Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations

ao zhou, Bin Liu, Jin Wang, Grigorios Tsoumakas

MSSDA: Multi-Sub-Source Domain Adaptation for Diabetic Foot Neuropathy Recognition

Yan Zhong, Zhixin Yan, Yi Xie, Shibin Wu, Huaidong Zhang

GraSP: Simple Yet Effective Graph Similarity Predictions

Haoran Zheng, Jieming SHI, Renchi Yang

ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning

Hao Zheng, Zhigang Hu, Liu Yang, Meiguang Zheng, Aikun Xu

Mixture of Online and Offline Experts for Non-Stationary Time Series

Zhilin Zhao, Longbing Cao, Yuanyu Wan

STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis

Zhe Zhao, Pengkun Wang, Haibin Wen, Shuang Wang, Liheng Yu

Attention Bootstrapping for Multi-Modal Test-Time Adaptation

Yusheng Zhao, Junyu Luo, Xiao Luo, Jinsheng Huang, Jingyang Yuan

MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices

Youpeng Zhao, Ming Lin, Huadong Tang, Qiang Wu, Jun Wang

Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels

Xin-yang Zhao, Jian Jin, Yang-yang Li, Yazhou Yao

ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization

Weibo Zhao, Yubin Shi, Xinyu Lyu, Wanchen Sui, Shen Li

Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method

Quanling Zhao, Anthony Hitchcock Thomas, Ari Brin, Xiaofan Yu, Tajana Rosing

Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor

Qi Zhao, Christian Wressnegger

Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates

Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan

Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion

Liang Zhao, Ziyue Wang, Xiao Wang, Zhikui Chen, Bo Xu

Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning

Hanyu Zhao, Zijie Pan, Yajie Wang, Zuobin Ying, Lei Xu

Supervised Score-Based Modeling by Gradient Boosting

Changyuan Zhao, Hongyang Du, Guangyuan Liu, Dusit Niyato

Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions

Canzhe Zhao, Xiangcheng Zhang, Baoxiang Wang, Shuai Li

ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression

Botao Zhao, Xiaoyang Qu, Zuheng Kang, Junqing Peng, Jing Xiao

WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting

Zichi Zhang, Tuan Dung Pham, Yimeng An, Ngoc Phu Doan, Majed Alsharari

TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion Model

Zhenkai Zhang, Krista A. Ehinger, Tom Drummond

STraj: Self-training for Bridging the Cross-Geography Gap in Trajectory Prediction

Zhanwei Zhang, Minghao Chen, Zhihong Gu, Xinkui Zhao, Zheng Yang

Domain Adaptive Unfolded Graph Neural Networks

Zepeng Zhang, Olga Fink

Mixture of Experts as Representation Learner for Deep Multi-View Clustering

Yunhe Zhang, Jinyu Cai, zhihao wu, Pengyang Wang, See-Kiong Ng

Asynchronous Federated Clustering with Unknown Number of Clusters

Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Xi Chen

MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network

Yuming Zhang, Shouxin Zhang, Peizhe Wang, Feiyu Zhu, Dongzhi Guan

LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic Segmentation

Yumin Zhang, Haoran Duan, Rui Sun, Yue Cheng, Tejal Shah

Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder

Yuhan Zhang, Guoqing Ma, Guangfu Hao, Liangxuan Guo, Yang Chen

Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant”

Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang

Incomplete Multi-view Clustering via Diffusion Contrastive Generation

Yuanyang Zhang, Yijie Lin, Weiqing Yan, Li Yao, Xinhang Wan

Evolutionary Classifier Chain for Multi-Dimensional Classification

Yu-Yang Zhang, Bin-Bin Jia, Min-ling Zhang

Navigating Towards Fairness with Data Selection

YIXUAN ZHANG, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan

HVAdam: A Full-Dimension Adaptive Optimizer

Yiheng Zhang, Shaowu Wu, Yuanzhuo Xu, Jiajun Wu, Shang Xu

Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning

Yan Zhang, Guoqiang Wu, Bingzheng Wang, Teng Pang, Haoliang Sun

Differentiable Information Enhanced Model-Based Reinforcement Learning

Xiaoyuan Zhang, Xinyan Cai, Bo Liu, Weidong Huang, Song-chun Zhu

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization

Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong

Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters

Wenzheng Zhang, Yang Hu, Jing Shi, Xiaoying Bai

EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation

Wenjie Zhang, Jun Yin, Long Ma, peng yu, Xiaoheng Jiang

Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval

Tianlong Zhang, Zhe Xue, Adnan Mahmood, Junping Du, Yuchen Dong

Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components

Tengxue Zhang, Yang Shu, Xinyang Chen, Yifei Long, Chenjuan Guo

Parametric ρ-Norm Scaling Calibration

Siyuan Zhang, Linbo Xie

Neural Collapse Inspired Knowledge Distillation

Shuoxi Zhang, Zijian Song, Kun He

MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection

SHUAI ZHANG, Yu Fan, Haoyi Zhou, Bo Li

Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization

Ruijia Zhang, Mingxi Lei, Meng Ding, Zihang Xiang, Jinhui Xu

HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning

Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Quanqing Xu

TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs

Qin Zhang, Xiaowei Li, Ziqi Liu, Xiaochen Fan, Xiaojun Chen

Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning

Qiannan Zhang, Shichao Pei, Yuan Fang, Xiangliang Zhang

Max-Mahalanobis Anchors Guidance for Multi-View Clustering

Pei Zhang, Yuangang Pan, Siwei Wang, Shengju Yu, Huiying Xu

Channel Merging: Preserving Specialization for Merged Experts

Mingyang Zhang, Jing Liu, Ganggui Ding, Linlin Ou, Xinyi Yu

LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning

Li Zhang, Chaochao Chen, Zhongxuan Han, Qiyong Zhong, Xiaolin Zheng

A-VL: Adaptive Attention for Large Vision-Language Models

Junyang Zhang, Mu Yuan, Ruiguang Zhong, Puhan Luo, Huiyou Zhan

QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter Compression

Junwei Zhang, Tianheng Wang, Zeyi Zhang, Pengju Yan, Xiaolin Li

DiffCLIP: Few-shot Language-driven Multimodal Classifier

Jiaqing Zhang, Mingxiang Cao, Xue Yang, Kai Jiang, Yunsong Li

Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias

Jianhua Zhang, Yi Gao, Ruyu Liu, Xu Cheng, Houxiang Zhang

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction

Hongliang Zhang, Shuo Chen, Lei Luo, Jian Yang

Semi-Implicit Neural Ordinary Differential Equations

Hong Zhang, Ying Liu, Romit Maulik

Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization

Haozhen Zhang, Zhaogeng Liu, Bin Gu, Yi Chang

SSAN: A Symbol Spatial-Aware Network for Handwritten Mathematical Expression Recognition

Haoran Zhang, Xiangdong Su, Xingxiang Zhou, Guanglai Gao

Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts

Gong-Duo Zhang, Ruiqing Chen, Qian Zhao, Zhengwei Wu, Fengyu Han

Contrastive Functional Principal Component Analysis

Eric Zhang, Didong Li

Toward Efficient Data-Free Unlearning

Chenhao Zhang, Shaofei Shen, Weitong Chen, Miao Xu

Learning Robust and Privacy-Preserving Representations via Information Theory

Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang

Text-Guided Nonverbal Enhancement Based on Modality-Invariant and -Specific Representations for Video Speaking Style Recognition

Beibei Zhang, Tongwei Ren, Gangshan Wu

Specifying What You Know or Not for Multi-Label Class-Incremental Learning

Aoting Zhang, Dongbao Yang, Chang Liu, Xiaopeng Hong, Yu Zhou

Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction

Xinlong Zhai, Chunchen Wang, Ruijia Wang, Jiazheng Kang, Shujie Li

Graph Structure Refinement with Energy-based Contrastive Learning

Xianlin Zeng, Yufeng Wang, Yuqi Sun, Guodong Guo, Wenrui Ding

WST: Wavelet-Based Multi-scale Tuning for Visual Transfer Learning

Jia Zeng, Lan Huang, Kangping Wang

Zero-Shot Image Captioning with Multi-type Entity Representations

Delong Zeng, Ying Shen, Man Lin, Zihao Yi, Jiarui Ouyang

ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models

Chao Zeng, Songwei Liu, Yusheng Xie, Hong Liu, Xiaojian Wang