AAAI 2026

4,920 papers

VietCheckMed: Explainable Regulatory Compliance Checking for Medical Advertisements on Vietnamese Social Media

Nguyen Thanh Tam, Khanh Quoc Tran, Dat Thanh Pham, Truong Phu Le, Nguyen Hoang Gia Han

EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization

Yuancheng Sun, Yuxuan Ren, Zhaoming Chen, Xu Han, Kang Liu

TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domains

Yidan Sun, Mengying Zhu, Feiyue Chen, Yangyang Wu, Xiaolei Dan

De Novo Molecular Generation from Mass Spectra via Many-Body Enhanced Diffusion

Xichen Sun, Wentao Wei, Jiahua Rao, Jiancong Xie, Yuedong Yang

GlyphShield: Document Watermarking for the Physical World via Vector Typeface Synthesis

Nan Sun, Yuxing Lu, Han Fang, Hefei Ling, Sijing Xie

Physically-Informed Flow Matching with Graph Neural Networks for Complex Fluid Dynamics

Xiaozhuang Song, Tianshu Yu

Dual-Branch Asymmetric Discrepancy Learning Based on Fake Image Pattern-Coexistence for AI-Generated Image Detection

Chunli Song, Jie Liu, Peiyang Wang, Ying Huang, Guixuan Zhang

Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model

Qi Si, Xuyang Liu, Penglei Wang, Xin Guo, Yuan Qi

Navigating the Alpha Jungle: An LLM-Powered MCTS Framework for Formulaic Alpha Factor Mining

Yu Shi, Yitong Duan, Jian Li

Weakly-Supervised Image Forgery Localization via Vision-Language Collaborative Reasoning Framework

Ziqi Sheng, Junyan Wu, Wei Lu, Jiantao Zhou

HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling

Zihang Shao, Wentao Lei, Lei Wang, Wen-Cai Ye, Li Liu

DeepRWCap: Neural-Guided Random-Walk Capacitance Solver for IC Design

Hector Rodriguez Rodriguez, Jiechen Huang, Wenjian Yu

Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving

Bin Rao, Chengyue Wang, Haicheng Liao, Qianfang Wang, Yanchen Guan

MSAnchor: De Novo Molecular Generation from Mass Spectrometry Data with Anchor-Extended Molecular Scaffolds

Xiaohan Qin, Chao Wang, Zhengyang Zhou, Linjiang Chen, Wenjie Du

Designed to Spread: A Generative Approach to Enhance Information Diffusion

Ziqing Qian, Jiaying Lei, Shengqi Dang, Nan Cao

Gene Incremental Learning for Single-Cell Transcriptomics

Jiaxin Qi, Yan Cui, Jianqiang Huang, Gaogang Xie

FreeAskWorld: An Interactive and Closed-Loop Simulator for Human-Centric Embodied AI

Yuhang Peng, Yizhou Pan, Xinning He, Jihaoyu Yang, Xinyu Yin

Resilient UAV Swarm with Fast Connectivity Recovery and Extensive Coverage

Yabin Peng, Chenyu Zhou, Hainan Cui, Tong Duan, Haoyang Chen

Refinement Contrastive Learning of Cell–Gene Associations for Unsupervised Cell Type Identification

Liang Peng, Haopeng Liu, Yixuan Ye, Cheng Liu, Wenjun Shen

Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration

Jinyoung Park, Minseong Bae, Jeehye Na, Hyunwoo J. Kim

Tracing the Heart’s Pathways: ECG Representation Learning from a Cardiac Conduction Perspective

Tan Pan, Yixuan Sun, Chen Jiang, Qiong Gao, Rui Sun

Interpretable and Robust Behavior Abstraction via Environment-Disentangled Heterogeneous Graph

Zhibin Ni, Hai Wan, Xibin Zhao

The GATTACA Framework: Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks

Andrzej Mizera, Jakub Zarzycki

BDD2Seq: Enabling Scalable Reversible-Circuit Synthesis via Graph-to-Sequence Learning

Mingkai Miao, Jianheng Tang, Guangyu Hu, Hongce Zhang

DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift

Shae McFadden, Myles Foley, Mario D'Onghia, Chris Hicks, Vasilios Mavroudis

MedLA: A Logic-Driven Multi-Agent Framework for Complex Medical Reasoning with Large Language Models

Siqi Ma, Jiajie Huang, Fan Zhang, Jinlin Wu, Yue Shen

DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior

Ruiyang Ma, Yunhao Zhou, Yipeng Wang, Yi Liu, Zhengyuan Shi

PHPFND: Detecting Fake News via Post-Hoc Processing of LLMs Hallucination

Jinke Ma, Jiachen Ma, Wei Zhang, Yong Liu

From Blind Transfer to Wise Selection: Prototype-Driven Neighbor-Domain Adaptation for Fake News Detection

Wayne Lu, Yiheng Li

LLMs Unleashed: Generating Protocol Code from RFC Specifications

Junfeng Long, Jinshu Su, Biao Han

When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering

Jiangkai Long, Yanran Zhu, Chang Tang, Kun Sun, Yuanyuan Liu

CLM-Access: A Specialized Foundation Model for High-Dimensional Single-Cell ATAC-Seq Analysis

Ziqiang Liu, Bowen Li, Zhenyu Xu, Yantao Li, Junwei Zhang

Predict and Resist: Long-Term Accident Anticipation Under Sensor Noise

Xingcheng Liu, Bin Rao, Yanchen Guan, Chengyue Wang, Haicheng Liao

ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders

Xiangyu Liu, Haodi Lei, Yi Liu, Yang Liu, Wei Hu

NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation

Maoqi Liu, Quan Fang, Yuhao Wu, Can Zhao, Yang Yang

Multimodal Table Understanding with Difficulty-aware Reinforcement Learning

Chaohu Liu, Haoyu Cao, YongXiang Hua, Linli Xu

CellStream: Dynamical Optimal Transport Informed Embeddings for Reconstructing Cellular Trajectories from Snapshots Data

Yue Ling, Peiqi Zhang, Zhenyi Zhang, Peijie Zhou

Benchmarking LLMs for Political Science: A United Nations Perspective

Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng

Factorization-in-Loop:Proximal Fill-in Minimization for Sparse Matrix Reordering

Ziwei Li, Shuzi Niu, Tao Yuan, Huiyuan Li, Wenjia Wu

Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach

Yuanheng Li, Zhuoyang Chen, Xiaoyun Liu, Yuhao Wang, Mingwei Liu

DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design

Yanting Li, Zikang Wang, Jiyue Jiang, Ziqian Lin, Dongchen He

Guided Distillation and Risk Adaptive Evolution for Multi-Robot Navigation

Xuyang Li, Jianwu Fang, Lin Li, Boyuan Chen, Guangliang Li

Adaptive Fidelity Estimation for Quantum Programs with Graph-Guided Noise Awareness

Tingting Li, Ziming Zhao, Jianwei Yin

RFF-TTA: Physical Information-Aware Prototype for Temporally Varying RF Fingerprinting Online Test-Time-Adaptation

Taotao Li, YiYang Li, Zhenyu Wen, Jiahao Lin, Jinhao Wan

Beyond Fully Supervised Pixel Annotations: Scribble-Driven Weakly-Supervised Framework for Image Manipulation Localization

Songlin Li, Guofeng Yu, Zhiqing Guo, Yunfeng Diao, Dan Ma

MergeDNA: Context-Aware Genome Modeling with Dynamic Tokenization Through Token Merging

Siyuan Li, Kai Yu, Anna Wang, Zicheng Liu, Chang Yu

PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction

Shunfan Li, Jiangkai Long, Xin Zou, Chang Tang, Yuanyuan Liu

Intention Chain-of-Thought Prompting with Dynamic Routing for Code Generation

Shen Li, Li Huang, Shaoxiong Zhan, Weifeng Sun, Tao Yin

WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network

Ruikun Li, Jiazhen Liu, Huandong Wang, Qingmin Liao, Yong Li

Detecting Fake News in Short Videos Through Multi-View Aggregation

Nuo Li, Yuan Xiong, Chengliang Liu, Jie Wen, Chao Huang

Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling

Mengran Li, Zelin Zang, Wenbin Xing, Junzhou Chen, Ronghui Zhang

Scalable Vision-Guided Crop Yield Estimation

Harrison H Li, Medhanie Irgau, Nabil Janmohamed, Karen Solveig Rieckmann, David B. Lobell

MetaDiT: Enabling Fine-grained Constraints in High-degree-of Freedom Metasurface Design

Hao Li, Andrey Bogdanov

anyECG-chat: A Generalist ECG-MLLM for Flexible ECG Input and Multi-Task Understanding

Haitao Li, Ziyu Li, Yiheng Mao, Ziyi Liu, Zhoujian Sun

Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection

Fanxiao Li, Jiaying Wu, Tingchao Fu, Yunyun Dong, Bingbing Song

Do Large Language Models Think like the Brain? Sentence-Level Evidences from Layer-Wise Embeddings and fMRI

Yu Lei, Xingyang Ge, Yi Zhang, Yiming Yang, Bolei Ma

BugSweeper: Function-Level Detection of Smart Contract Vulnerabilities Using Graph Neural Networks

Uisang Lee, Changhoon Chung, Junmo Lee, Soo-Mook Moon

RAG-Enhanced Collaborative LLM Agents for Drug Discovery

Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Tommaso Biancalani, Chanyoung Park

OneFont: A Unified Agent for End-to-End Font Creation

Yingxin Lai, Yufei Liu, Guoqing Yang, Jiaxing Chai, Zhiming Luo

RLSLM: A Hybrid Framework Combining Reinforcement Learning and a Rule-based Social Locomotion Model for Socially-aware Navigation

Yitian Kou, Yihe Gu, Chen Zhou, Dandan Zhu, Shu-Guang Kuai

Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation

Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara

SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels

Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. Van Sloun, Kira Radinsky, Daniel Freedman

Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability

Yulin Jin, Xiaoyu Zhang, Haoyu Tong, Jian Lou, Kai WU

FinRpt: Dataset, Evaluation System and LLM-based Multi-agent Framework for Equity Research Report Generation

Song Jin, Shuqi Li, Shukun Zhang, Rui Yan

Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks

Dian Jin, Yancheng Yuan, Xiaoming Tao

RMSAGen: Integrating Multiple Sequence Alignment for Function RNA Design

Jiyue Jiang, Yanyu Chen, Qingchuan Zhang, Jiayi Li, Xiangyu Shi

HyperLoad: A Cross-Modality Enhanced Large Language Model-Based Framework for Green Data Center Cooling Load Prediction

Haoyu Jiang, Boan Qu, Junjie Zhu, Fanjie Zeng, Xiaojie Lin

Uncovering and Mitigating Destructive Multi-Embedding Attacks in Deepfake Proactive Forensics

Lixin Jia, Haiyang Sun, Zhiqing Guo, Yunfeng Diao, Dan Ma

Controllable Financial Market Generation with Diffusion Guided Meta Agent

Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-jun Li

PanFoMa: A Lightweight Foundation Model and Benchmark for Pan-Cancer

Xiaoshui Huang, Tianlin Zhu, Yifan Zuo, Xue Xia, Zonghan Wu

Dynamic Geometric Equivariant Network for Full-Atom Antibody Design

Weihong Huang, Feng Yang, Qiang Zhang, Juan Liu

TIDE: Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation

Victor Shea-Jay Huang, Le Zhuo, Yi Xin, Zhaokai Wang, Fu-Yun Wang

Towards Distance-Invariant Radio Frequency Fingerprinting via Augmented Unsupervised Learning

Shiyue Huang, Yuchen Su, Hongbo Liu, Zikang Ding, Xuewan He

Revisiting the Canonicalization for Fast and Accurate Crystal Tensor Property Prediction

Haowei Hua, Jingwen Yang, Wanyu Lin, Pan Zhou

Transolver Is a Linear Transformer: Revisiting Physics-Attention Through the Lens of Linear Attention

Wenjie Hu, Sidun Liu, Peng Qiao, Zhenglun Sun, Yong Dou

VoiceCloak: A Multi-Dimensional Defense Framework Against Unauthorized Diffusion-Based Voice Cloning

Qianyue Hu, Junyan Wu, Wei Lu, Xiangyang Luo

Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling

Jingren Hou, Hong Wang, Pengyu Xu, Chang Gao, Huafeng Liu

Directing Uncertainty-Aware Information Flow for Robust Diffusion Prediction

Weikang He, Yunpeng Xiao, Mengyang Huang, Xuemei Mou, Rong Wang

Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges

Meixia He, Peican Zhu, Le Cheng, Yangming Guo, Manman Yuan

FACTGUARD: Event-Centric and Commonsense-Guided Fake News Detection

Jing He, Han Zhang, Yuanhui Xiao, Wei Guo, Shaowen Yao

S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening

Bowei He, Bowen Gao, yankai Chen, Yanyan Lan, Chen Ma

CHASE: Contextual History for Adaptive and Simple Exploitation in Large Language Model Jailbreaking

Zhiqiang Hao, Chuanyi Li, Ye Fan, Jun Cai, Xiao Fu

From Passive Perception to Active Memory: A Weakly Supervised Image Manipulation Localization Framework Driven by Coarse-Grained Annotations

Zhiqing Guo, Dongdong Xi, Songlin Li, Gaobo Yang

GARNET: GoT-Based Alert Reduction and Narrative Event Tracing

Yiru Gong, Song Liu, Changzhi Zhao, Junrong Liu, TIAN TIAN

Failure Localization in Multi-Agent Code Generation via Knowledge-Guided and Transferable Reasoning

Mingyang Geng, Shanzhi Gu, Zhipeng Liu, Chuanfu Xu, Zhaoyang Qu

Energy-based Autoregressive Generation for Neural Population Dynamics

Ningling Ge, Sicheng Dai, Yu Zhu, Shan Yu

RCAFlow: A Workflow-Informed Hierarchical Planning Multi-Agent System for Root Cause Analysis

Yufei Gao, Zhengong Cai, Bowei Yang

DeepSenseMoE: Harnessing Power of Time Series Foundation Models for Few-Shot Human Activity Recognition

Zenan Fu, Dongzhou Cheng, Lei Zhang, Wenbo Huang, Zhenghao Chen

Unveiling the Attribute Misbinding Threat in Identity-Preserving Models

Junming Fu, Jishen Zeng, Yi Jiang, Peiyu Zhuang, Baoying Chen

From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning

Yichao Feng, Haoran Luo, Lang Feng, Shuai Zhao, Anh Tuan Luu

3DAlign-DAER: Dynamic Attention Policy and Efficient Retrieval Strategy for Fine-grained 3D-Text Alignment at Scale

Yijia Fan, Jusheng Zhang, Kaitong Cai, Jing Yang, Jian Wang

Multi-Horizon Time Series Forecasting of Non-Parametric CDFs with Deep Lattice Networks

Niklas Erdmann, Lars Bentsen, Roy Stenbro, Heine Nygard Riise, Narada Dilp Warakagoda

Toward Time-Continuous Data Inference in Sparse Urban CrowdSensing

Hao Du, Wenbin Liu, Ziyu Sun, Haoyang Su, En Wang

Learning from Long-Term Engagement: Adaptive Tutoring Dialogue Planning for Personalized Education

Zhiang Dong, Zhenlong Dai, Xiangwei Lv, Jingyuan Chen

OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning

Zezhen Ding, Zhen Tan, Jiheng Zhang, Tianlong Chen

NucEL: Single-Nucleotide ELECTRA-Style Genomic Pre-training for Efficient and Interpretable Representations

Ke Ding, Brian Parker, Jiayu Wen

InteChar: A Unified Oracle Bone Character List for Ancient Chinese Language Modeling

Xiaolei Diao, Zhihan Zhou, Lida Shi, Ting Wang, Ruihua Qi

Topology-Enhanced and Label Correlation-Aware Model for Protein-Protein Interaction Prediction

Bin Deng, Huifang Ma, Ruijia Zhang, Meihuizi Jia, Rui Bing

DensiCrafter: Physically-Constrained Generation and Fabrication of Self-Supporting Hollow Structures

Shengqi Dang, Fu Chai, Jiaxin Li, Chao Yuan, Wei Ye

Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving

Longchao Da, David Isele, Hua Wei, Manish Saroya