AAAI 2026

4,920 papers

Bidirectional Noise Injection: Enhancing Diffusion Models via Coordinated Input-Output Perturbation

Tianyi Zheng, Jiayang Gao, Peng-tao Jiang, Fengxiang Yang, Ben Wan

GeM-VG: Towards Generalized Multi-image Visual Grounding with Multimodal Large Language Models

Shurong Zheng, Yousong Zhu, Hongyin Zhao, Fan Yang, Yufei Zhan

BiHiTo: Biomolecular Hierarchy-inspired Tokenization

Ruochong Zheng, Yutian Liu, Yian Zhao, Zhiwei Nie, Xuehan Hou

DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion

Ruisheng Zheng, Mingyi Li, Xiao Zhang, Hongjian Shi, Yanjie Fu

Differentially Private Subspace Fine-Tuning for Large Language Models

Lele Zheng, Xiang Wang, Tao Zhang, Yang Cao, Ke Cheng

HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition

Jinpeng Zheng, Shao-Yuan Li, Gan Xu, Wenhai Wan, Zijian Tao

Distribution Shift Is Key to Learning Invariant Prediction

Hong Zheng, Fei Teng

Graph VQ-Transformer (GVT): Fast and Accurate Molecular Generation via High-Fidelity Discrete Latents

Haozhuo Zheng, Cheng Wang, Yang Liu

Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning

Hao Zheng, Shiyu Song, Zhigang Hu, Meiguang Zheng, Liu Yang

SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization

Zhixiong Zhao, Fangxin Liu, Junjie Wang, Chenyang Guan, Zongwu Wang

Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths

Yuzhen Zhao, Yating Liu, Marc Hoffmann

Adaptive Evolutionary Fusion for Multi-View Clustering

Yunxiao Zhao, Liang Bai, Xian Yang

Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation

Xingyue Zhao, Wenke Huang, Xingguang Wang, Haoyu Zhao, Linghao Zhuang

Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs

Wenrui Zhao, Yijun Tian, Zhichao Xu, Yawei Wang, Chuxu Zhang

Multi-granularity Temporal Knowledge Editing over Large Language Models

Simiao Zhao, Ning Pang, Zhen Tan, Yanli Hu, Weidong Xiao

Multi-knowledge Enhanced Graph Neural Network for Multi-trait Essay Scoring

Shiman Zhao, Siyuan Liu, Zhiqi Shen

HitKV: Activation Frequency Knows Which Tokens Are Important

Sanle Zhao, Yujuan Tan, Yu Jing, Zhuoxin Bai, Yue Niu

Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering

Mingjie Zhao, Zhanpei Huang, Yang Lu, Mengke Li, Yiqun Zhang

KNNDA: A New Perspective of Alignment Recovery for Partially View-Aligned Clustering

Liang Zhao, Tianqi Yue, Shubin Ma, Ziyue Wang, Zhiyuan Liu

Shared & Domain Self-Adaptive Experts with Frequency-Aware Discrimination for Continual Test-Time Adaptation

Jianchao Zhao, Chenhao Ding, Songlin Dong, Jiangyang Li, Qiang Wang

Differentiable Sparse Identification of Lagrangian Dynamics

Zitong Zhang, Hao Sun

FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models

Zishuai Zhang, Hainan Zhang, Weihua Li, Qinnan Zhang, Jin Dong

PatchET: Learning Enzyme Temperature Properties Through Patch-Based Neural Architectures

Ziqi Zhang, Runze Yang, Longbing Cao, Zhaohong Deng

Minimum-Length Conformal Prediction Sets for Ordinal Classification

Zijian Zhang, Xinyu Chen, Yuanjie Shi, Liyuan Lillian Ma, Zifan Xu

Multi-Objective Bilevel Learning

Zhiyao Zhang, Zhuqing Liu, Xin Zhang, Wen-Yen Chen, Jiyan Yang

ADAPT: Adaptive Decentralized Architecture with Perception-Aligned Training for Structural Generalization in Multi-Agent RL

Zhixiang Zhang, Shuo Chen, Yexin Li, Feng Wang

EMAformer: Enhancing Transformer Through Embedding Armor for Time Series Forecasting

Zhiwei Zhang, Xinyi Du, Xuanchi Guo, Weihao Wang, Wenjuan Han

Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction

Zhicheng Zhang, Zhaocheng Du, jieming zhu, Jiwei Tang, Fengyuan Lu

Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning

Zhenyu Zhang, Guangyao Chen, Yixiong Zou, Zhimeng Huang, Yuhua Li

Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation

Zhenshuo Zhang, Minxuan Duan, Youran Ye, Hongyang R. Zhang

Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss

Zhenghao Zhang, jun xie, Xingchen Chen, Tao Yu, Hongzhu Yi

A More Efficient Reduction from Outlier-Aware to Outlier-Free k-Median

Zhen Zhang, Han Peng, Limei Liu, Junyu Huang, Xiaolong Li

Prototype-Driven Active Domain Adaptation with Density Consideration

Zeyu Zhang, Chun Shen, Qiang Ma, Meng Kang, Shuai Lu

PPGPT: Transferring Next-Token Modeling from Language to PPG Signals

Zexing Zhang, Huimin Lu, Qingxin Zhao

SAGE: Structured Attribute-Guided Enhancement for GZSL

Zao Zhang, Liguo Sun, Pin Lyu

Pseudo-Spiking Neurons: A Noise-Based Training Framework for Heterogeneous-Latency Spiking Neural Networks

Yuxuan Zhang, Yuhang Sun, Hongjue Li, Yue Deng, Wen Yao

Bi-Spectrum Distillation: Addressing Spectral Mismatch in ANN-SNN Knowledge Transfer

Yuxuan Zhang, Yuhang Sun, Wen Yao, Yue Deng, Hongjue Li

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning

Yutong Zhang, Zimeng Wu, Shengcai Liao, Shujiang Wu, JIAXIN CHEN

FedBRICK: Structural Bias Aware Heterogeneous Foundation Model Federated Tuning

Yuhang Zhang, Xianda Wang, Wei Sun, Jiaxuan Chen, Fangxin Wang

Mamba-Driven Multi-View Discriminative Clustering via Global-Local Cross-View Sequence Modeling

Yuanyang Zhang, Xinhang Wan, Chao Zhang, Jie Xu, Cunjian Chen

Rethinking Multi-Instance Learning Through Graph-Driven Fusion: A Dual-Path Approach to Adaptive Representation

Yu-Xuan Zhang, Zhengchun Zhou, Weisha Liu, Mingxing Zhang

Efficient Tensorized Multi-View Anchor Graph Clustering with Affinity Propagation for Remote Sensing Data

Yongshan Zhang, Kangyue Zheng, Shuaikang Yan, Xinxin Wang, Zhihua Cai

Medical Image Segmentation with Minimal Labeling Effort: How Far Can We Push the Limits?

Yizhe Zhang

Fair Bayesian Data Selection via Generalized Discrepancy Measures

YIXUAN ZHANG, Jiabin Luo, Zhenggang Wang, Feng Zhou, Quyu Kong

Grow-on-Demand: Sparse and Adaptive Expert Expansion for Continual Instruction Tuning

Ying Zhang, Xingyue Guo, Yu Zhao, Xuhui Sui, Baohang Zhou

Enhancing Exploration and Exploitation in Hierarchical Reinforcement Learning with Subgoal Graph Learning

Yibo Zhang, Dengpeng Xing

Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation

Yeqin Zhang, Yizheng Zhao, Chen Hu, Binxing Jiao, Daxin Jiang

Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning

Xuan Zhang, Zhijian Zhou, Weidi Xu, Yanting Miao, Chao Qu

Semantic-Augmented Image Clustering via Adaptive Multi-Modal Collaboration

Xiaohan Zhang, Chao Zhang, Deng Xu, Hong Yu, Chunlin Chen

Unifying Channel Independence and Mixing: Multi-Scale Patch Recursion for Global–Local Representation Synergy in Multivariate Time Series Forecasting

Wenhao Zhang, Chun Zhang, Wei Bai, Ning Zhang, Changxia Gao

Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner

Wenchuan Zhang, Penghao Zhang, Jingru Guo, Tao Cheng, Jie Chen

CauVQ: Causal Vector Quantization for Graph OOD Generalization

Weihong Zhang, Liang Bai, Hangyuan Du, Xian Yang

On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD

Tongcheng Zhang, Zhanpeng Zhou, Mingze Wang, Andi Han, Wei Huang

MMhops-R1: Multimodal Multi-hop Reasoning

Tao Zhang, Ziqi Zhang, Zongyang Ma, Yuxin Chen, Bing Li

Adaptive Graph Attention Based Discrete Hashing for Incomplete Cross-modal Retrieval

Shuang Zhang, Yue Wu, Lei Shi, Huilong Jin, Feifei Kou

MLLM Enriched Explainable Multiple Clustering

Shan Zhang, Liangrui Ren, Qiaoyu Tan, Carlotta Domeniconi, Wei Du

Beyond Conservation: Flexible Molecular Assembly with Unbalanced Diffusion Bridge

Rongchao Zhang, Yiwei Lou, Yu Huang, Yi Xin, Yongzhi Cao

FUSE: Fine-Grained and Semantic-Aware Learning for Unified Image Understanding and Generation

Peng Zhang, Wanggui He, Mushui Liu, Wenyi Xiao, Siyu Zou

VEDA: Generation of 3D Molecules via Variance-Exploding Diffusion with Annealing

Peining Zhang, Jinbo Bi, Minghu Song

SALR: Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models

Longteng Zhang, Sen Wu, Shuai Hou, Zhengyu Qing, Zhuo Zheng

Liyun Zhang, Zheng Lian, Hong Liu, Takanori Takebe, Yuta Nakashima

QuMAB: Query-based Multi-annotator Behavior Pattern Learning

Liyun Zhang, Zheng Lian, Hong Liu, Takanori Takebe, Shozo Nishii

Parameter-Free Clustering via Self-Supervised Consensus Maximization

Lijun Zhang, Suyuan Liu, Siwei Wang, Shengju Yu, Xueling Zhu

TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models

Li Zhang, Zhongxuan Han, XiaoHua Feng, Jiaming Zhang, Yuyuan Li

EvoFMVC: Trusted Federated Multi-View Clustering with Evolutionary Fusion

Li Zhang, Pinhan Fu, Li Lv, Qian Guo, Liang Du

HALoRA: Low-Rank Adaptation with Hierarchical Budget Allocation for Efficient Vision-Language Alignment

Letian Zhang, GuangHao Meng, Xudong Ren, Jinpeng Wang

Breaking Down Market Barriers: Distilled Prompt-Tuning Approach for Cross-Market Recommendation

Leqi Zhang, Wayne Lu, Haiyang Zhang, Elliott Wen, Zhixuan Liang

Vulnerability-Aware Robust Multimodal Adversarial Training

Junrui Zhang, Xinyu Zhao, Jie Peng, Chenjie Wang, Jianmin Ji

PepCCD: A Contrastive Conditioned Diffusion Framework for Target-Specific Peptide Generation

Jun Zhang, Yangyang Zhou, Tiantian Zhu, Zexuan Zhu

GAHMN: A Generative Approach for High-Dimensional Mediation Analysis

Jiaming Zhang, Yiqi Lin, Rou Zhang, Xinyuan Song, Hanwen Ning

MultiKD: Backdoor Defense in Federated Graph Learning via Attention-Guided Multi-Teacher Distillation

Jiale Zhang, Yanan Wang, Bosen Rao, Chengcheng Zhu, Xiaobing Sun

Sparse Tuning Enhances Plasticity in PTM-based Continual Learning

Huan Zhang, Shenghua Fan, Shuyu Dong, Yujin Zheng, Dingwen Wang

MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting

Hu Zhang, Zhien Dai, Zhaohui Tang, Yongfang Xie

TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models

Honglei Zhang, Zhiwei Li, Haoxuan Li, Xin Zhou, Jie Zhang

Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks

He Zhang, Bang Wu, Xiaoning Liu, Karin Verspoor, Xun Yi

FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering

Haodong Zhang, Xinyue Wang, Tao Ren, Yifan Wang, Siyu Yi

Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models

Fuyao Zhang, Xinyu Yan, Tiantong Wu, Wenjie Li, Tianxiang Chen

Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer

Enming Zhang, Liwen Cao, Yanru Wu, Zhao Zijie, Yang Li

FP=XINT: Representing Neural Networks via Low-Bit Series Basis Functions

Boyang Zhang, Daning Cheng, Yunquan Zhang, Jiake Tian, Jing Li

FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting

Boya Zhang, Shuaijie Yin, Huiwen Zhu, Xing He

PRISM: Privacy-Aware Routing for Adaptive Cloud–Edge LLM Inference via Semantic Sketch Collaboration

Junfei Zhan, Haoxun Shen, Zheng Lin, Tengjiao He

Huiliang Zhai, Xiangyi Teng, Jing Liu

Vision-G1: Towards General Reasoning Vision-Language Models via Reinforcement Learning

Yuheng Zha, Kun Zhou, Yujia Wu, Yushu Wang, Jie Feng

FDC-Ground: Improving GRPO for GUI Grounding via Exponential Rewards and Fact-Aligned Pruning

Xiangjian Zeng, Wenjing Li, Qingqiang Wu, Liang Zhang

FedPKDA: Personalized Federated Learning with Privacy-Preserving Knowledge Dynamic Alignment

Moxuan Zeng, Wenxuan Tu, Yuanyi Chen, Yiying Wang, Miao Yu

Lethe: Layer- and Time-Adaptive KV Cache Pruning for Reasoning-Intensive LLM Serving

Hui Zeng, Daming Zhao, Pengfei Yang, WenXuan Hou, Tianyang Zheng

Hyperbolic Continuous Structural Entropy for Hierarchical Clustering

Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu

Ripple Shapley: Data Influence Attribution in One Federated Training Run

Dewen Zeng, Wenlong Tian, Haozhao Wang, Jianfeng Lu, Weijun Xiao

PCFormer: Accelerating Privacy-preserving Transformer Inference by Partition and Combination

Bo Zeng, Zhi Pang, Yuyang Zhang, KAI ZHAO, Tian Wu

Generating Sketches in a Hierarchical Auto-Regressive Process for Flexible Sketch Drawing Manipulation at Stroke-Level

Sicong Zang, Shuhui Gao, Zhijun Fang

Topology-aware Knowledge Preservation for Class-Incremental Learning

Han Zang, Yongfeng Dong, Linhao Li, Liang Yang, Yu Wang

VeriFlow: Modeling Distributions for Neural Network Verification

Faried Abu Zaid, Daniel Neider, Mustafa Yalçıner

GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting

Yuqi Yuan, Xiong Luo, Qiaojuan Peng, Wenbing Zhao

Hybrid-DMKG: A Hybrid Reasoning Framework over Dynamic Multimodal Knowledge Graphs for Multimodal Multihop QA with Knowledge Editing

Li Yuan, Qingfei Huang, Bingshan Zhu, Yi Cai, Qingbao Huang

MetaTrader: Learning to Generalize RL Trading Policies Beyond Offline Data

Haochen Yuan, Minting Pan, Yunbo Wang, Siyu Gao, Xiaokang Yang

Many Minds, One Path: LLM-Augmented Consensus Decision for Distributed Control in Multi-Agent Collaborative Stable Scenarios

Zhuohao Yu, Zhe Liu, Tao Ren, Chenxue Wang, Junjie Wang

Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method

Zhiyuan Yu, Mingkai Lin, Wenzhong Li, Zhangyue Yin, Shijian Xiao

Test-driven Reinforcement Learning in Continuous Control

Zhao Yu, Xiuping Wu, Liangjun Ke

Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Networks

Xuan Yu, Tianyang Xu

PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing

Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma