AAAI 2026

4,920 papers

Mind the Gap: The Divergence Between Human and LLM-Generated Tasks

Yi-Long Lu, Jiajun Song, Chunhui Zhang, Wei Wang

FINE: Factorized Multimodal Sentiment Analysis via Mutual INformation Estimation

Yadong Liu, Shangfei Wang

A Closer Look at Knowledge Distillation in Spiking Neural Network Training

Xu Liu, Na Xia, Jinxing Zhou, Jingyuan Xu, Dan Guo

HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference

Hanwen Liu, Kexin Shi, Jieyuan Zhang, Yimeng Shan, Jibin Wu

Explainable Depression Assessment from Face Videos by Weakly Supervised Learning

Rongfan Liao, Xiangyu Kong, Shiqing Tang, Lang He, Changzeng Fu

MAUGen: A Unified Diffusion Approach for Multi-Identity Facial Expression and AU Label Generation

Xiangdong Li, Ye Lou, Ao Gao, Wei Zhang, Siyang Song

DCHO: A Decomposition–Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications

Weibin Li, Wendu Li, Quanying Liu

ARCHE: A Novel Task to Evaluate LLMs on Latent Reasoning Chain Extraction

Pengze Li, Jiaqi Liu, Junchi Yu, Lihao Liu, Mingyu Ding

AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments

Zikang Leng, Megha Thukral, Yaqi Liu, Hrudhai Rajasekhar, Shruthi K. Hiremath

MASP: Multi-Aspect Guided Emotion Reasoning with Soft Prompt Tuning In Vision-Language Models

SangEun Lee, Yubeen Lee, Eunil Park, Wonseok Chae

Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition

Xiangyu Kong, Hengde Zhu, Haoqin Sun, Zhihao Guo, Jiayan Gu

MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization

Runhao Jiang, Chengzhi Jiang, Rui Yan, Huajin Tang

DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks

Jiaqiang Jiang, Wenfeng Xu, Jing Fan, Rui Yan

Surgical AI Copilot: Energy-Based Fourier Gradient Low-Rank Adaptation for Surgical LLM Agent Reasoning and Planning

Jiayuan Huang, Runlong He, Danyal Zaman Khan, Evangelos B. Mazomenos, Danail Stoyanov

Is Symbolic Music a Specific Language? Exploring Inspiration-to-Structure Machine Composition via LLMs

Zhejing Hu, Yan Liu, Zhi Zhang, Aiwei Zhang, Sheng-hua Zhong

Reality vs Counterfactual: Multi-World Contrastive Reinforcement Learning for Enhancing MLLM’s Theory of Mind in Egocentric Videos

Guiyang Hou, Yihui Fu, Chen Wu, Xiang Huang, Zhe Zheng

MvP-ECR: Multi-Perspective Emotion-Cause Reasoning for Empathetic Dialogue

Yuanyuan He, Guotai Huang, Wei Li, Jiali You, Jiawen Deng

CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models

Ping Guo, Qingfu Zhang, Xi Lin

Personality-guided Public-Private Domain Disentangled Hypergraph-Former Network for Multimodal Depression Detection

Changzeng Fu, Shiwen Zhao, Yunze Zhang, Zhongquan Jian, Shiqi Zhao

U2UData+: A Scalable Swarm UAVs Autonomous Flight Dataset for Embodied Long-horizon Tasks

Tongtong Feng, Xin Wang, Feilin Han, Leping Zhang, Wenwu Zhu

Advancing Multimodal Teacher Sentiment Analysis: The Large-Scale T-MED Dataset & the Effective AAM-TSA Model

Zhiyi Duan, Xiangren Wang, Hongyu Yuan, Qianli Xing

SyncBrain: Exploring Brain Functional Dynamics Through Neural Oscillatory Synchronization

Jiaqi Ding, Tingting Dan, Zhixuan Zhou, Guorong Wu

NL2CA: Auto-formalizing Cognitive Decision-Making from Natural Language Using an Unsupervised CriticNL2LTL Framework

Zihao Deng, Yijia Li, Renrui Zhang, Peijun Ye

A Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents

Clayton Cohn, Surya Rayala, Namrata Srivastava, Joyce Horn Fonteles, Shruti Jain

Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning

Zhuang Chen, Guanqun Bi, Wen Zhang, Jiawei Hu, Aoyun Wang

VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning

Siran Chen, Boyu Chen, Yuxiao Luo, Chenyun YU, Yi Ouyang

LAS: Loss-less ANN-SNN Conversion for Fully Spike-Driven Large Language Models

Long Chen, Xiaotian Song, Yanan Sun

Chain-of-Search: Parameter-Efficient Reasoning for Zero-Shot Object Navigation

Hanrui Chen, Liqi Yan, Qifan Wang, Jianhui Zhang, Fangli Guan

Parallel Training Time-to-First-Spike Spiking Neural Networks

Kaiwei Che, Wei Fang, Peng Xue, Yifan Huang, Zhengyu Ma

Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution

Honglin Cao, Shuai Wang, Zijian Zhou, Ammar Belatreche, Wenjie Wei

Plot’n Polish: Zero-Shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models

Kiymet Akdemir, Jing Shi, Kushal Kafle, Brian L. Price, Pinar Yanardag

Hypothesis-Driven Reasoning for Large Language Models

Aakash Kumar Agarwal, Moyuru Yamada

AdaField: Generalizable Surface Pressure Modeling with Physics-Informed Pre-training and Flow-Conditioned Adaptation

Junhong Zou, Wei Qiu, Zhenxu Sun, Xiaomei Zhang, Zhaoxiang Zhang

Tree-Based Stochastic Optimization for Solving Large-Scale Urban Network Security Games

Shuxin Zhuang, Linjian Meng, Shuxin Li, Minming Li, Youzhi Zhang

Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification

Tianwen Zhu, Guangyu Wu, Zhiwei Cao, Ruihang Wang, Jimin Jia

Advancing Protein Design via Multi-Agent Reinforcement Learning with Pareto-Based Collaborative Optimization

Mingming Zhu, Jiahua Rao, Xiaoyu Chen, Qianmu Yuan, Yuedong Yang

DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks

Jiang Zhu, Yulin Jin, Qingqing Ye, Zhibiao Guo, Kun Fang

IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection

Jiajie Zhu, Xia Du, Xiaoyuan Liu, Ji-Zhe Zhou, Qizhen Xu

SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design

Qingsong Zhong, Haomin Yu, Yan Lin, Wangmeng Shen, Long Zeng

Apo2Mol: 3D Molecule Generation via Dynamic Pocket-Aware Diffusion Models

Xinzhe Zheng, Shiyu Jiang, Gustavo Seabra, Chenglong Li, Yanjun Li

Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios?

Shiyan Zheng, Herun Wan, Minnan Luo, Junhang Huang

TinyChemVL: Advancing Chemical Vision-Language Models via Efficient Visual Token Reduction and Complex Reaction Tasks

Xuanle Zhao, Shuxin Zeng, Xinyuan Cai, Xiang Cheng, Duzhen Zhang

PriAgent: A Collaborative Multi-Agent Framework for Auditing Android Privacy Compliance

Ziwei Zhang, Zhao Li, Zhuojun Jiang, Jiangyi Yin, Xuebin Wang

AMS-IO-Bench and AMS-IO-Agent: Benchmarking and Structured Reasoning for Analog and Mixed-Signal Integrated Circuit Input/Output Design

Zhishuai Zhang, Xintian Li, Shilong Liu, Aodong Zhang, Lu Jie

Spike Imaging Velocimetry: Dense Motion Estimation of Fluids Using Spike Streams

Yunzhong Zhang, You Zhou, Changqing Su, Zhen Cheng, Zhaofei Yu

Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra

Yiwen Zhang, Keyan Ding, Yihang Wu, Xiang Zhuang, Yi Yang

Wi-CBR: Salient-aware Adaptive WiFi Sensing for Cross-domain Behavior Recognition

Ruobei Zhang, Shengeng Tang, Huan Yan, Xiang Zhang, Jiabao Guo

MicroEvoEval: A Systematic Evaluation Framework for Image-Based Microstructure Evolution Prediction

Qinyi Zhang, Duanyu Feng, Ronghui Han, Yangshuai Wang, Hao Wang

HGATSolver: A Heterogeneous Graph Attention Solver for Fluid–Structure Interaction

Qin-Yi Zhang, Hong Wang, Siyao Liu, Haichuan Lin, Linying Cao

Domain-Aware Multi-View Contrastive Representation Learning for Protein Subcellular Localization Prediction

Qiang Zhang, Feng Yang, Weihong Huang, Jing Feng, Juan Liu

RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection

Longlong Zhang, Xi Wang, Haotong Du, Yangyi Xu, Zhuo Liu

AirCopBench: A Benchmark for Multi-drone Collaborative Embodied Perception and Reasoning

Jirong Zha, Yuxuan Fan, Tianyu Zhang, Geng Chen, Yingfeng Chen

Towards Provably Secure and Highly Robust Generative Image Steganography Leveraging Latent Diffusion Model

Chengsheng Yuan, Zhaonan Ji, Qi Cui, Zhili Zhou, Xinting Li

Every Little Bit Helps: Exploring Better Utilization of Unlabeled Data for Semi-supervised Singing Melody Extraction Using Multi-bands Diffusion Model

Shuai Yu, Xiaoliang He, Kangjie Dong, Yi Yu

MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning

Jianbo Yu, Yixuan Li, Hai Xu, Kang Xu, Junjielong Xu

Frequency Mining Empowered by Text Aggregation: A New Perspective on Document Image Tampering Detection

Ziqi Yi, Guitao Xu, Shihang Wu, Peirong Zhang, LianWen Jin

CrystalDiT: Simple Diffusion Transformers for Crystal Generation

Xiaohan Yi, Guikun Xu, Zhong Zhang, Liu Liu, Yatao Bian

PDE-Driven Spatiotemporal Generative Modeling for Multilead ECG Synthesis

Yakir Yehuda, Kira Radinsky

Poisoned Distillation: Injecting Backdoors into Distilled Datasets Without Raw Data Access

Ziyuan Yang, Ming Yan, Yi Zhang, Joey Tianyi Zhou

HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors

Jingxiao Yang, Ping He, Tianyu Du, Sun Bing, Xuhong Zhang

Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs

Han Yang, Shaofeng Li, Tian Dong, Xiangyu Xu, Guangchi Liu

An LLM-based Quantitative Framework for Evaluating High-Stealthy Backdoor Risks in OSS Supply Chains

Zihe Yan, Kai Luo, Haoyu Yang, Yang Yu, Zhuosheng Zhang

Sentient: Detecting APTs via Capturing Indirect Dependencies and Behavioral Logic

Wenhao Yan, Ning An, Wei Qiao, Weiheng Wu, Zhigang Lu

GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences

Jingquan Yan, Yuwei Miao, Lei Yu, Yuzhi Guo, Xue Xiao

SoMe: A Realistic Benchmark for LLM-based Social Media Agents

Dizhan Xue, Jing Cui, Shengsheng Qian, Chuanrui Hu, Changsheng Xu

Learning to Curate Context: Jointly Optimizing Retrieval and Prediction for Multimodal Social Media Popularity

Xovee Xu, Shuojun Lin, Fan Zhou, Jingkuan Song

GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generation

Rongchao Xu, Kunlin Cai, Lin Jiang, Zhiqing Hong, Yuan Tian

scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing

Ping Xu, Zaitian Wang, Zhirui Wang, Pengjiang Li, Jiajia Wang

KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits

Peng Xu, Yapeng Li, Tinghuan Chen, Tsung-Yi Ho, Bei Yu

SynWeather: Weather Observation Data Synthesis Across Multiple Regions and Variables via a General Diffusion Transformer

Kaiyi Xu, Junchao Gong, Zhiwang Zhou, Zhangrui Li, Yuandong Pu

ChipMind: Retrieval-Augmented Reasoning for Long-Context Circuit Design Specifications

Changwen Xing, SamZaak Wong, Xinlai Wan, Yanfeng Lu, Mengli Zhang

Where to Start Alignment? Diffusion Large Language Model May Demand a Distinct Position

Zhixin Xie, Xurui Song, Jun Luo

Informative Subgraph Extraction with Deep Reinforcement Learning for Drug-Drug Interaction Prediction

Jiancong Xie, Wentao Wei, Chi Zhang, Jiahua Rao, Yuedong Yang

GROVER: Graph-guided Representation of Omics and Vision with Expert Regulation for Adaptive Spatial Multi-omics Fusion

Yongjun Xiao, Dian Meng, Xinlei Huang, Yanran Liu, Shiwei Ruan

Sim-to-Real: An Unsupervised Noise Layer for Screen-Camera Watermarking Robustness

Yufeng Wu, Xin Liao, Baowei Wang, Han Fang, Xiaoshuai Wu

Investigating Data Pruning for Pretraining Biological Foundation Models at Scale

Yifan Wu, Jiyue Jiang, Xichen Ye, Yiqi Wang, Chang Zhou

Exploring Selective Avoidance for Online User Behavior Analysis: A Forest of Thought Explanation

Xiaohua Wu, Lin Li, Kaize Shi, Xiaohui Tao, Jianwei Zhang

Generalizable Drug–Target Interaction Prediction via ESM-2 Representations and Progressive Contrastive Curriculum Learning

Qianyang Wu, Jingwei Lv, Zilong Zhang, Feifei Cui

Synergizing Multigrid Algorithms with Vision Transformer: A Novel Approach to Enhance the Seismic Foundation Model

Huiwen Wu, Shuo Zhang, Yi Liu, Hongbin Ye

Dual-Channel Learning Framework for Zero-Shot CircRNA-miRNA Interaction Prediction via State Space Modeling

Mengmeng Wei, Lei Wang, Zhu-Hong You, Pengwei Hu, Bowei Zhao

Reasoning About the Unsaid: Misinformation Detection with Omission-Aware Graph Inference

Zhengjia Wang, Danding Wang, Qiang Sheng, Jiaying Wu, Juan Cao

MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning

Yusong Wang, Jialun Shen, zhihao wu, Yicheng Xu, Shiyin Tan

Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction

Yuchen Wang, Dongpeng Hou, Weikai Jing, Chao Gao, Xianghua Li

BDLF-Qwen3: Enhanced Cross-Architecture Binary Function Similarity Detection Through Binary Dynamic Layer Fusion

Yuanda Wang, Ji Zhou, Xinhui Han, Chao Zhang

PASA: Progressive-Adaptive Spectral Augmentation for Automated Auscultation in Data-Scarce Environments

Ying Wang, Guoheng Huang, Xueyuan Gong, Xinxin Wang, Xiaochen Yuan

Rejoining Precious Artifacts: Efficiently Bone Stick Rejoining Based Massive Fragment Images by Contour, Script, and Texture

Xingyi Wang, Wen Huang, Mengqiang Hu, Junhui Chen, Weixin Zhao

S^2-KD: Semantic-Spectral Knowledge Distillation Spatiotemporal Forecasting

Wenshuo Wang, Yaomin Shen, Yingjie Tan, Yihao Chen

Explicit Intent-Enhanced Knowledge Distillation for Trip Recommendation

Shuliang Wang, Xiaoting Leng, Sijie Ruan, Dingqi Yang, Yicheng Tang

PsyPARSE: Retrieval-Augmented Slow Thinking for Personalized Empathetic Counseling

Longxiang Wang, Pukun Zhao, Chen Chen, Jinhe Bi, Huacan Wang

Driving with Advice: Large Model as Motion Advisor for Joint Planning

junyin Wang, Jinlei Yu, Hao Lin, Huikai Liu, Wenqian Zhu

CTX-Coder: Cross-Attention Architectures Empower LLMs for Long-Context Vulnerability Detection

Jujie Wang, Kangfeng Zheng, Bin Wu, Chunhua Wu, Yulin Yao

Learning Protein–Ligand Binding in Hyperbolic Space

Jianhui Wang, Wenyu Zhu, Bowen Gao, Xin Hong, Ya-Qin Zhang

MUSE: Multimodal Uncertainty-Based Self-Driven Evolution for Robust Physiological-Signal–Based Driver Fatigue Detection

Jiaheng Wang, Yuan Si, Ang Li, Zhenyu Wang, Tianheng Xu

Efficient Protein Optimization via Structure-aware Hamiltonian Dynamics

Jiahao Wang, Shuangjia Zheng

Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting

Feng Wang, Tianxiang Chen, Shuyue Wei, Qian Chu, Yi Zhang

CP-FREEZER: Latency Attacks Against Vehicular Cooperative Perception

Chenyi Wang, Ruoyu Song, Raymond Muller, Jean-Philippe Monteuuis, Z. Berkay Celik

Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective

Bing Wang, Ximing Li, Yanjun Wang, Changchun Li, Lin Yuanbo Wu

PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics

Han Wan, Qi Wang, Yuan Mi, Rui Zhang, Hao Sun

FIXME: Towards End-to-End Benchmarking of LLM-Aided Design Verification

Gwok-Waa Wan, SamZaak Wong, Shengchu Su, Chenxu Niu, Ning Wang

Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Misinformation Engagement on Social Media

Lin Tian, Marian-Andrei Rizoiu