Most Cited AAAI "behavior policy constraint" Papers

A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives

Yudong Gao, Honglong Chen, Peng Sun et al.

Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation

Di Mi, Yanjun Zhang, Leo yu Zhang et al.

Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images

Qingping Zheng, Yuanfan Guo, Jiankang Deng et al.

Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks

Xiaofan Que, Qi Yu

BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change

Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny et al.

A Theory of Non-acyclic Generative Flow Networks

Leo Brunswic, Yinchuan Li, Yushun Xu et al.

Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling

Xinhao Tao, Junyan Cao, Yan Hong et al.

Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures

Yulong Wang

Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction

Shangjian Yin, Peijie Huang, Yuhong Xu

DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning

Jincen Jiang, Lizhi Zhao, Xuequan Lu et al.

ICAR: Image-Based Complementary Auto Reasoning

Xijun Wang, Anqi Liang, Junbang Liang et al.

DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization

Danyeong Lee, Dohoon Lee, Dongmin Bang et al.

Data Augmented Graph Neural Networks for Personality Detection

Yangfu Zhu, Yue Xia, Meiling Li et al.

Generative Calibration of Inaccurate Annotation for Label Distribution Learning

Liang He, Yunan Lu, Weiwei Li et al.

Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights

Jiaxuan Xu, Taiyong Li, Lei Duan

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition

Sijie Wang, Rui She, Qiyu Kang et al.

Decoupled Optimisation for Long-Tailed Visual Recognition

Cong Cong, Shiyu Xuan, Sidong Liu et al.

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning

Tianpei Yang, Heng You, Jianye Hao et al.

An Effective Polynomial Technique for Compiling Conditional Effects Away

Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala

LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model

Linmei Hu, Hongyu He, Duokang Wang et al.

Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking

Mingzhan Yang, Guangxin Han, Bin Yan et al.

SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation

Hyun Ryu, Sunjae Yoon, Hee Suk Yoon et al.

Fairness without Demographics through Shared Latent Space-Based Debiasing

Rashidul Islam, Huiyuan Chen, Yiwei Cai

Exploring Channel-Aware Typical Features for Out-of-Distribution Detection

Rundong He, Yue Yuan, Zhongyi Han et al.

Disentangled Partial Label Learning

Wei-Xuan Bao, Yong Rui, Min-Ling Zhang

Disguise without Disruption: Utility-Preserving Face De-identification

Zikui Cai, Zhongpai Gao, Benjamin Planche et al.

InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning

Jinshan Zeng, Xianchao Tong, Xianglong Yu et al.

Learning Multi-Modal Cross-Scale Deformable Transformer Network for Unregistered Hyperspectral Image Super-resolution

Wenqian Dong, Yang Xu, Jiahui Qu et al.

Generative Multi-Modal Knowledge Retrieval with Large Language Models

Xinwei Long, Jiali Zeng, Fandong Meng et al.

ScanERU: Interactive 3D Visual Grounding Based on Embodied Reference Understanding

Ziyang Lu, Yunqiang Pei, Guoqing Wang et al.

Attacking Transformers with Feature Diversity Adversarial Perturbation

Chenxing Gao, Hang Zhou, Junqing Yu et al.

High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction

Boyu Zhang, Hongliang Yuan

Real3D the Curious Case of Neural Scene Degeneration

Dengsheng Chen, Jie Hu, Xiaoming Wei et al.

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks

Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon

Response Enhanced Semi-supervised Dialogue Query Generation

Jianheng Huang, Ante Wang, Linfeng Gao et al.

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling

Thong Nguyen, Xiaobao Wu, Xinshuai Dong et al.

Deep Homography Estimation for Visual Place Recognition

Feng Lu, Shuting Dong, Lijun Zhang et al.

Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles

Matthew Budd, Bruno Lacerda, Nick Hawes

Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning and Enhanced Policy Planning

Kaizhi Gao, Tianyu Wang, Zhongjing Ma et al.

Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection

Jiayi Gao, Kongming Liang, Tao Wei et al.

No Internal Regret with Non-convex Loss Functions

DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning

Aneesh Bhattacharya, Manas Paranjape, Uttaran Bhattacharya et al.

Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers

Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos et al.

Generative-Based Fusion Mechanism for Multi-Modal Tracking

Zhangyong Tang, Tianyang Xu, Xiaojun Wu et al.

Towards Epistemic-Doxastic Planning with Observation and Revision

Thorsten Engesser, Andreas Herzig, Elise Perrotin

Frequency Shuffling and Enhancement for Open Set Recognition

Lijun Liu, Rui Wang, Yuan Wang et al.

GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval

Yuting Wang, Jinpeng Wang, Bin Chen et al.

One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems

Mikołaj Małkiński, Jacek Mańdziuk

From Past to Future: Rethinking Eligibility Traces

Dhawal Gupta, Scott Jordan, Shreyas Chaudhari et al.

A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging

Liya Ji, ZheFan Rao, Sinno Jialin Pan et al.

Temporal-Distributed Backdoor Attack against Video Based Action Recognition

Xi Li, Songhe Wang, Ruiquan Huang et al.

Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model

Junghun Cha, Ali Haider, Seoyun Yang et al.

SparseGNV: Generating Novel Views of Indoor Scenes with Sparse RGB-D Images

Weihao Cheng, Yan-Pei Cao, Ying Shan

Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery

Jialu Zhang, Xiaoying Yang, Wentao He et al.

Collaborative Tooth Motion Diffusion Model in Digital Orthodontics

Yeying Fan, Guangshun Wei, Chen Wang et al.

An Information-Flow Perspective on Algorithmic Fairness

Samuel Teuber, Bernhard Beckert

KeDuSR: Real-World Dual-Lens Super-resolution via Kernel-Free Matching

Huanjing Yue, Zifan Cui, Kun Li et al.

Robustly Train Normalizing Flows via KL Divergence Regularization

Kun Song, Ruben Solozabal Ochoa de Retana, Hao Li et al.

CoVR: Learning Composed Video Retrieval from Web Video Captions

Lucas Ventura, Antoine Yang, Cordelia Schmid et al.

Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes

Ouns El Harzli, Bernardo Cuenca Grau, Guillermo Valle Perez et al.

Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data

Heejo Kong, Suneung Kim, Ho-Joong Kim et al.

DeRDaVa: Deletion-Robust Data Valuation for Machine Learning

Xiao Tian, Rachael Hwee Ling Sim, Jue Fan et al.

CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation

Junao Shen, Kun Kuang, Jiaheng Wang et al.

Efficient Constrained K-center Clustering with Background Knowledge

Longkun Guo, Chaoqi Jia, Kewen Liao et al.

Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification

Andreas Grivas, Antonio Vergari, Adam Lopez

Detection and Defense of Unlearnable Examples

Yifan Zhu, lijia Yu, Xiao-Shan Gao

MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information

Xiao-Dong Bi, Shao-Qun Zhang, Yuan Jiang

Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits

Qingsong Liu, Zhixuan Fang

Hierarchical Multi-Marginal Optimal Transport for Network Alignment

Zhichen Zeng, Boxin Du, Si Zhang et al.

Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach

Yu Wang, Yuxuan Yin, Karthik Somayaji NS et al.

A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation

Angxiao Yue, Dixin Luo, Hongteng Xu

3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands

Xuan Huang, Hanhui Li, Zejun Yang et al.

New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem

Koji Ichikawa, Shinji Ito, Daisuke Hatano et al.

Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm

Andreas Papachristodoulou, Christos Kyrkou, Stelios Timotheou et al.

CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design

Yanxuan Zhao, Peng Zhang, Guopeng Sun et al.

Universal Weak Coreset

Ragesh Jaiswal, Amit Kumar

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation

Minqin Zhu, Anpeng Wu, Haoxuan Li et al.

DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations

Guojun Xiong, Gang Yan, Shiqiang Wang et al.

RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction

Yemin Yu, Luotian Yuan, Ying WEI et al.

Robust Visual Imitation Learning with Inverse Dynamics Representations

Siyuan Li, Xun Wang, Rongchang Zuo et al.

Offline Model-Based Optimization via Policy-Guided Gradient Search

Yassine Chemingui, Aryan Deshwal, Nghia Hoang et al.

Generator Assisted Mixture of Experts for Feature Acquisition in Batch

Vedang Asgaonkar, Aditya Jain, Abir De

MemoryBank: Enhancing Large Language Models with Long-Term Memory

Wanjun Zhong, Lianghong Guo, Qiqi Gao et al.

Formal Logic Enabled Personalized Federated Learning through Property Inference

Ziyan An, Taylor Johnson, Meiyi Ma

Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption

Adil Nawaz, Guopeng Chen, Muhammad Umair Raza et al.

Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning

Alexey Skrynnik, Anton Andreychuk, Maria Nesterova et al.

CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification

Kaitao Chen, Shiliang Sun, Jing Zhao

DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior

Ha-Yeong Choi, Sang-Hoon Lee, Seong-Whan Lee

Eliciting Honest Information from Authors Using Sequential Review

Yichi Zhang, Grant Schoenebeck, Weijie Su

Approximation Scheme for Weighted Metric Clustering via Sherali-Adams

Dmitrii Avdiukhin, Vaggos Chatziafratis, Konstantin Makarychev et al.

ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models

Maitreya Patel, Tejas Gokhale, Chitta Baral et al.

Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs

Seungjun Lee, TaeIL Oh

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning

Jiayu Chen, Zelai Xu, Yunfei Li et al.

Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation

Xiaobin Huang, Lei Song, Ke Xue et al.

No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning

Dianyu Zhong, Yiqin Yang, Qianchuan Zhao

$z$-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning

Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang

Contextual Pandora’s Box

Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli et al.

Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds

Kwang In Kim

Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality

Guipeng Lan, Shuai Xiao, Jiachen Yang et al.

Taming Binarized Neural Networks and Mixed-Integer Programs

Johannes Aspman, Georgios Korpas, Jakub Marecek

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms

Jianhao Ding, Zhaofei Yu, Tiejun Huang et al.

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective

Binwu Wang, Pengkun Wang, Yudong Zhang et al.

A Closer Look at Curriculum Adversarial Training: From an Online Perspective

Lianghe Shi, Weiwei Liu

Provably Convergent Federated Trilevel Learning

Yang Jiao, Kai YANG, Tiancheng Wu et al.

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context

Jiwoo Son, Minsu Kim, Sanghyeok Choi et al.

DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing

Conglong Li, Zhewei Yao, Xiaoxia Wu et al.

Dynamic Knowledge Injection for AIXI Agents

Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter

Factored Online Planning in Many-Agent POMDPs

Maris Galesloot, Thiago Simão, Sebastian Junges et al.

Principal-Agent Reward Shaping in MDPs

Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz et al.

Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection

Dialogues Are Not Just Text: Modeling Cognition for Dialogue Coherence Evaluation

A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities

Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining

LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack

A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem

Mixed-Effects Contextual Bandits

Weiwei Xiao, Yongyong Chen, Qiben Shan et al.

Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory

Aydar Bulatov, Yuri Kuratov, Yermek Kapushev et al.

Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective

Zhen Qin, Feiyi Chen, Chen Zhi et al.

Transportable Representations for Domain Generalization

Kasra Jalaldoust, Elias Bareinboim

Exponential Hardness of Optimization from the Locality in Quantum Neural Networks

Hao-Kai Zhang, Chengkai Zhu, Geng Liu et al.

MFOS: Model-Free & One-Shot Object Pose Estimation

JongMin Lee, Yohann Cabon, Romain Brégier et al.

Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning

Jiangmeng Li, Yifan Jin, Hang Gao et al.

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

Yige Yuan, Bingbing Xu, Bo Lin et al.

Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization

Yongyi Su, Xun Xu, Kui Jia

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation

Longchao Da, Porter Jenkins, Trevor Schwantes et al.

DRF: Improving Certified Robustness via Distributional Robustness Framework

Zekai Wang, Zhengyu Zhou, Weiwei Liu

Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning

Ruiqian Nai, Zixin Wen, Ji Li et al.

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation

Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye et al.

Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation

Yuzheng Wang, Zhaoyu Chen, Dingkang Yang et al.

Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model

Zhenyu Xie, Yang Wu, Xuehao Gao et al.

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels

Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie et al.

HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning

Hongbin Pei, Taile Chen, Chen A et al.

BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale

Randy Ardywibowo, Rakesh Sunki, Shin Tsz Lucy Kuo et al.

External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection

Biwei Cao, Qihang Wu, Jiuxin Cao et al.

CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection

Jie Chen, Liangmin Wang, Huijuan Zhu et al.

ReactGPT: Understanding of Chemical Reactions via In-Context Tuning

Zhe Chen, Zhe Fang, Wenhao Tian et al.

4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance

Kaihui Cheng, Ce Liu, Qingkun Su et al.

G2LDetect: A Global-to-Local Approach for Hallucination Detection

Xiaoxia Cheng, Zeqi Tan, Zhe Zheng et al.

CryoDomain: Sequence-free Protein Domain Identification from Low-resolution Cryo-EM Density Maps

Muzhi Dai, Zhuoer Dong, Weining Fu et al.

Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning

Zhenlong Dai, Bingrui Chen, Zhuoluo Zhao et al.

Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association

Chao Deng, Hongdong Li, Jianxin Wang

RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction

Zhihao Ding, Ting Zhang, Yiran Li et al.

Knowledge Is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis

Zhiang Dong, Jingyuan Chen, Fei Wu

A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation

Daniel Freedman, Eyal Rozenberg, Alex Bronstein

Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection

Hao Guo, Zihan Ma, Zhi Zeng et al.

HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning

Rong Han, Wenbing Huang, Lingxiao Luo et al.

Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning

Zehua Han, Jing Xiao, Qirui Zhao et al.

HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural Network

Qiang He, Yunting Bao, Hui Fang et al.

ViFactCheck: A New Benchmark Dataset and Methods for Multi-Domain News Fact-Checking In Vietnamese

Tran Thai Hoa, Tran Quang Duy, Khanh Quoc Tran et al.

Social Recommendation via Graph-Level Counterfactual Augmentation

Yinxuan Huang, Ke Liang, Yanyi Huang et al.

Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory

Sizhuo Jin, Shuo Chen, Jianjun Qian et al.

IWRN:A Robust Blind Watermarking Method for Artwork Image Copyright Protection Against Noise Attack

Feifei Kou, Yuhan Yao, Siyuan Yao et al.

Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models

Haoran Li, Yulin Chen, Zihao Zheng et al.

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area

Junxian Li, Di Zhang, Xunzhi Wang et al.

Critical Forgetting-Based Multi-Scale Disentanglement for Deepfake Detection

Kai Li, Wenqi Ren, Jianshu Li et al.

AI-Powered Algorithm-Centric Quantum Processor Topology Design

Tian Li, Xiao-Yue Xu, Chen Ding et al.

Enhancing the Adversarial Robustness via Manifold Projection

Zhiting Li, Shibai Yin, Tai-Xiang Jiang et al.

Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity

Zhufeng Li, Sandeep Suresh Cranganore, Nicholas Youngblut et al.

Controllable Protein Sequence Generation with LLM Preference Optimization

Xiangyu Liu, Yi Liu, Silei Chen et al.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning

Yupei Liu, Yanting Wang, Jinyuan Jia

BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking

Yuxuan Liu, Hongda Sun, Wenya Guo et al.

DAMMFND: Domain-Aware Multimodal Multi-view Fake News Detection

Weihai Lu, Yu Tong, Zhiqiu Ye

GenAL: Generative Agent for Adaptive Learning

Rui Lv, Qi Liu, Weibo Gao et al.

M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity

Tianxu Lv, Jie Zhu, Jinyi Liu et al.

Number Theoretic Accelerated Learning of Physics-Informed Neural Networks

Takashi Matsubara, Takaharu Yaguchi

Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy

Jian-Ping Mei, Weibin Zhang, Jie Chen et al.

Multi-modal Deepfake Detection via Multi-task Audio-Visual Prompt Learning

Hui Miao, Yuanfang Guo, Zeming Liu et al.

SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning

Li Ni, Rui Ye, Wenjian Luo et al.

Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting

Gaozheng Pei, Shaojie Lyu, Ke Ma et al.

A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics

Jiaxin Qi, Yan Cui, Kailei Guo et al.

Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow Representation

Xing Qiu, Guang Cheng, Weizhou Zhu et al.

Towards Better Robustness Against Natural Corruptions in Document Tampering Localization

Huiru Shao, Kaizhu Huang, Wei Wang et al.

SpeHeaTal: A Cluster-Enhanced Segmentation Method for Sperm Morphology Analysis

Yi Shi, Yun-Kai Wang, Xu-Peng Tian et al.

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting

Feng Shibo, Peilin Zhao, Liu Liu et al.

Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining

Xiaozhuang Song, Yuzhao Tu, Hangting Ye et al.

Embedding Robust Watermarking into Pattern to Protect the Copyright of Ceramic Artifacts

Lei Tan, Yuliang Xue, Guobiao Li et al.

PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration

Jia Wang, Liyan Zhu, Zhe Wang et al.

VisRec: A Semi-Supervised Approach to Visibility Data Reconstruction in Radio Astronomy

Ruoqi Wang, Haitao Wang, Qiong Luo et al.

FMPM-DNet: Hyperspectral Pansharpening Dynamic Network Based on Feature Modulation and Probability Mask

Xiaozheng Wang, Yong Yang, Shuying Huang et al.

Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training

Yueqing Wang, Peng Zhang, Yushuang Liu et al.

Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling

Fang Wu, Bozhen Hu, Stan Z. Li

Vision Transformers Beat WideResNets on Small Scale Datasets Adversarial Robustness

Juntao Wu, Ziyu Song, Xiaoyu Zhang et al.

MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay

Zeke Xia, Ming Hu, Dengke Yan et al.

Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation

Xovee Xu, Yifan Zhang, Fan Zhou et al.

DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations

Yongxin Xu, Xinke Jiang, Xu Chu et al.

PriFold: Biological Priors Improve RNA Secondary Structure Predictions

Chenchen Yang, Hao Wu, Tao Shen et al.

Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting

Tong Ye, Yangkai Du, Tengfei Ma et al.

Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location

Na Yu, Yutong Deng, Shunyu Liu et al.

Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization

Zeqin Yu, Jiangqun Ni, Jian Zhang et al.

Accurate Nucleic Acid-Binding Residue Identification Based Domain-Adaptive Protein Language Model and Explainable Geometric Deep Learning

Wenwu Zeng, Liangrui Pan, Boya Ji et al.

SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates

Xi Zeng, Fei Ni, Shaoqing Jiao et al.

Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference

Jiangou Zhan, Wenhui Zhang, Zheng Zhang et al.

Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection

Chaowei Zhang, Zongling Feng, Zewei Zhang et al.

BERT-Based Code Learning for Exception Localization and Type Prediction

Chongyu Zhang, Qiping Tao, Liangyu Chen et al.

Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model

Haozhen Zhang, Haodong Yue, Xi Xiao et al.

Efficient Traffic Prediction Through Spatio-Temporal Distillation

Qianru Zhang, Xinyi Gao, Haixin Wang et al.

Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction

Ran Zhang, Xuezhi Wang, Guannan Liu et al.

TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting

Shiqi Zhang, Pan Mu, Cheng Huang et al.

Formal Synthesis of Barrier Certificates Using Fourier Kolmogorov-Arnold Network

Xiongqi Zhang, Junwei Xu, Yang Wang et al.

Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting

Yudong Zhang, Xu Wang, Xuan Yu et al.