Most Cited AAAI "aggregate metrics" Papers
5,317 papers found • Page 18 of 27
Conference
FlexDataset: Crafting Annotated Dataset Generation for Diverse Applications
Ellen Yi-Ge, Leo Shawn
ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition
Seungdong Yoa, Seungjun Lee, Hye-Seung Cho et al.
FOCUS: Towards Universal Foreground Segmentation
Zuyao You, Lingyu Kong, Lingchen Meng et al.
SGFormer: Semantic-Geometry Fusion Transformer for Multi-modal 3D Panoptic Segmentation
Hongqi Yu, Sixian Chan, Xiaolong Zhou et al.
Separating the Wheat from the Chaff: Spatio-Temporal Transformer with View-interweaved Attention for Photon-Efficient Depth Sensing
Letian Yu, Jiaxi Yang, Bo Dong et al.
ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models
Qing Yu, Mikihiro Tanaka, Kent Fujiwara
STGC-NeRF: Spatial-Temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes
Shangshu Yu, Xiaotian Sun, Wen Li et al.
Fine-grained Adaptive Visual Prompt for Generative Medical Visual Question Answering
Ting Yu, Zixuan Tong, Jun Yu et al.
OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image Fusion
Wei Yu, Zonglin Li, Qinglin Liu et al.
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective
Xinmiao Yu, Xiaocheng Feng, Yun Li et al.
Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP
Yating Yu, Congqi Cao, Yueran Zhang et al.
OLMD: Orientation-aware Long-term Motion Decoupling for Continuous Sign Language Recognition
Yiheng Yu, Sheng Liu, Yuan Feng et al.
Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration
Yongzhe Yuan, Yue Wu, Xiaolong Fan et al.
Efficient Neural Network Encoding for 3D Color Lookup Tables
Vahid Zehtab, David B. Lindell, Marcus A. Brubaker et al.
Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation
Guanzhong Zeng, Jingjing Wang, Zefu Xu et al.
TGFormer: Transformer with Track Query Group for Multi-Object Tracking
Rui Zeng, Yuanzhou Huang, Songwei Pei
World Knowledge-Enhanced Reasoning Using Instruction-Guided Interactor in Autonomous Driving
Mingliang Zhai, Cheng Li, Zengyuan Guo et al.
DetRF: Detachable Novel Views Synthesis of Dynamic Scenes Using Backdrop-Driven Neural Radiance Fields
Boyu Zhang, Zheng Zhu, Wenbo Xu
Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning
Evelyn Zhang, Jiayi Tang, Xuefei Ning et al.
When Open-Vocabulary Visual Question Answering Meets Causal Adapter: Benchmark and Approach
Feifei Zhang, Zhaoyi Zhang, Xi Zhang et al.
DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming
Jiaxin Zhang, Wentao Yang, Songxuan Lai et al.
Just a Few Glances: Open-Set Visual Perception with Image Prompt Paradigm
Jinrong Zhang, Penghui Wang, Chunxiao Liu et al.
R^2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy
Li Zhang, Haonan Jiang, Yukang Huo et al.
Common Sense Bias Modeling for Classification Tasks
Miao Zhang, Zee Fryer, Ben Colman et al.
IRMamba: Pixel Difference Mamba with Layer Restoration for Infrared Small Target Detection
Mingjin Zhang, Xiaolong Li, Fei Gao et al.
MOCID: Motion Context and Displacement Information Learning for Moving Infrared Small Target Detection
Mingjin Zhang, Yuanjun Ouyang, Fei Gao et al.
Decoupling Scattering: Pseudo-Label Guided NeRF for Scenes with Scattering Media
Mingyang Zhang, Junkang Zhang, Faming Fang et al.
PanoDiT: Panoramic Videos Generation with Diffusion Transformer
Muyang Zhang, Yuzhi Chen, Rongtao Xu et al.
SIGraph: Saliency Image-Graph Network for Retinal Disease Classification in Fundus Image
Peng Zhang, Yuan Li, Haotian Song et al.
Visual Perturbation for Text-Based Person Search
Pengcheng Zhang, Xiaohan Yu, Xiao Bai et al.
Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic Amalgamation
Shihua Zhang, Zhenjie Zhu, Zizhuo Li et al.
DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection
Shuo Zhang, Jiaming Huang, Wenbing Tang et al.
Pragmatist: Multiview Conditional Diffusion Models for High-Fidelity 3D Reconstruction from Unposed Sparse Views
Songchun Zhang, Chunhui Zhao
DZAD: Diffusion-based Zero-shot Anomaly Detection
Tianrui Zhang, Liang Gao, Xinyu Li et al.
Enhancing Implicit Neural Representations via Symmetric Power Transformation
Weixiang Zhang, Shuzhao Xie, Chengwei Ren et al.
Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning
Xiang Zhang, Wanqing Zhao, Pengyang Li et al.
Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation
Xiaofeng Zhang, Fanshuo Zeng, Yihao Quan et al.
PhyCamo: A Robust Physical Camouflage via Contrastive Learning for Multi-View Physical Adversarial Attack
Ximin Zhang, Jinyin Chen, Haibin Zheng et al.
CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression
Xinjie Zhang, Shenyuan Gao, Zhening Liu et al.
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network
Xinyi Zhang, Qiqi Bao, Qinpeng Cui et al.
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
Yabo Zhang, Yuxiang Wei, Xianhui Lin et al.
Track the Answer: Extending TextVQA from Image to Video with Spatio-Temporal Clues
Yan Zhang, Gangyan Zeng, Huawen Shen et al.
Category Prompt Mamba Network for Nuclei Segmentation and Classification
Ye Zhang, Zijie Fang, Yifeng Wang et al.
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
Yi Zhang, Chun-Wun Cheng, Junyi He et al.
InstantSticker: Realistic Decal Blending via Disentangled Object Reconstruction
Yi Zhang, Xiaoyang Huang, Yishun Dou et al.
Partial Point Cloud Registration with Multi-view 2D Image Learning
Yue Zhang, Yue Wu, Wenping Ma et al.
RP-PGD: Boosting Segmentation Robustness with a Region-and-Prototype Based Adversarial Attack
Yuxuan Zhang, Zhenbo Shi, Shuchang Wang et al.
Leveraging Consistent Spatio-Temporal Correspondence for Robust Visual Odometry
Zhaoxing Zhang, Junda Cheng, Gangwei Xu et al.
Training-Free Image Manipulation Localization Using Diffusion Models
Zhenfei Zhang, Ming-Ching Chang, Xin Li
Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition
Zhicheng Zhang, Hao Tang, Jinhui Tang
Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation
Hongxu Zhao, Zelin Gao, Yue Wang et al.
Excluding the Impossible for Open Vocabulary Semantic Segmentation
Shiyuan Zhao, Baodi Liu, Yu Bai et al.
KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing
Shu Zhao, Tan Yu, Xiaoshuai Hao et al.
Training-free Open-Vocabulary Semantic Segmentation via Diverse Prototype Construction and Sub-region Matching
Xuanpu Zhao, Dianmo Sheng, Zhentao Tan et al.
Audio-Visual Adaptive Fusion Network for Question Answering Based on Contrastive Learning
Xujian Zhao, Yixin Wang, Peiquan Jin
ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance
Yucheng Zhao, Gengyu Lyu, Ke Li et al.
NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark
Yuxuan Zhao, Weijian Ruan, He Li et al.
HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking
Zeyong Zhao, Yanchao Hao, Minghao Zhang et al.
PHR-DIFF: Portrait Highlights Removal via Patch-aware Diffusion Model
Hongsheng Zheng, Zhongyun Bao, Gang Fu et al.
Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking
Jianwei Zheng, Xiaomin Yao, Guojiang Shen et al.
Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation
Kexin Zheng, Haifeng Xia, Siyu Xia et al.
When Shadow Removal Meets Intrinsic Image Decomposition: A Joint Learning Framework Using Unpaired Data
Rongjia Zheng, Qing Zhang, Yongwei Nie et al.
A New Adversarial Perspective for LiDAR-based 3D Object Detection
Shijun Zheng, Weiquan Liu, Yu Guo et al.
Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment
Yuanfan Zheng, Jinlin Wu, Wuyang Li et al.
MMPF: Multi-Modal Perception Framework for Abnormal Medical Condition Detection
Chuyi Zhong, Dingkang Yang, Peng Zhai et al.
DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning
Guojin Zhong, Jinhong Hu, Jiajun Chen et al.
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression
Chuqin Zhou, Guo Lu, Jiangchuan Li et al.
TrackGo: A Flexible and Efficient Method for Controllable Video Generation
Haitao Zhou, Chuang Wang, Rui Nie et al.
Core-to-Global Reasoning for Compositional Visual Question Answering
Hao Zhou, Tingjin Luo, Zhangqi Jiang
Joint Class-level and Instance-level Relationship Modeling for Novel Class Discovery
Jiaying Zhou, Qingchao Chen
GaussianPainter: Painting Point Cloud into 3D Gaussians with Normal Guidance
Jingqiu Zhou, Lue Fan, Xuesong Chen et al.
SceneX: Procedural Controllable Large-Scale Scene Generation
Mengqi Zhou, Yuxi Wang, Jun Hou et al.
GLIC: General Format Learned Image Compression
MingSheng Zhou, MingMing Kong
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
Nuoyan Zhou, Dawei Zhou, Decheng Liu et al.
Spatiotemporal-Aware Neural Fields for Dynamic CT Reconstruction
Qingyang Zhou, Yunfan Ye, Zhiping Cai
Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization
Xingzhi Zhou, Zhiliang Tian, Boyang Zhang et al.
Improving Generalization of Deep Neural Networks by Optimum Shifting
Yuyan Zhou, Ye Li, Lei Feng et al.
Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching
Zhao Zhou, Yiqun Wang, Weizhong Zhang et al.
Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning
Zhao Zhou, Weizhong Zhang, Xiangcheng Du et al.
An Exemplar-based Framework for Chinese Text Recognition
Zhao Zhou, Xiangcheng Du, Yingbin Zheng et al.
GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic Expressions
Ziqi Zhou, Weize Quan, Hailin Shi et al.
A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and Localization
Jiaying Zhu, Dong Li, Xueyang Fu et al.
Thin-Plate Spline-based Interpolation for Animation Line Inbetweening
Tianyi Zhu, Wei Shang, Dongwei Ren
Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space
Xingyu Zhu, Guanhui Ye, Chengdong Dong et al.
Mesoscopic Insights: Orchestrating Multi-Scale & Hybrid Architecture for Image Manipulation Localization
Xuekang Zhu, Xiaochen Ma, Lei Su et al.
MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction
Yitao Zhu, Sheng Wang, Mengjie Xu et al.
Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning
Zhenfeng Zhuang, Min Cen, Yanfeng Li et al.
AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction
Pufan Zou, Shijia Zhao, Weijie Huang et al.
L-Man: A Large Multi-modal Model Unifying Human-centric Tasks
Jialong Zuo, Ying Nie, Tianyu Guo et al.
Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning
Swann Bessa, Darius Dabert, Max Bourgeat et al.
Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound
Cătălin E. Brița, Jacobus G. M. van der Linden, Emir Demirović
Linear Equations with Min and Max Operators: Computational Complexity
Krishnendu Chatterjee, Ruichen Luo, Raimundo Saona et al.
GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC
Xingdi Chen, Kai Yang
Proof Simulation via Round-based Strategy Extraction for QBF
Leroy Chew
Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization
Kangkang Deng, Jiang Hu
Parameterized Complexity of Caching in Networks
Robert Ganian, Fionn Mc Inerney, Dimitra Tsigkari
FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program
Yi-Xiang Hu, Feng Wu, Shaoang Li et al.
DCC: Differentiable Cardinality Constraints for Partial Index Tracking
Wooyeon Jo, Hyunsouk Cho
Online Prompt Selection for Program Synthesis
Yixuan Li, Lewis Frampton, Federico Mora et al.
Search Strategy Generation for Branch and Bound Using Genetic Programming
Gwen Maudet, Grégoire Danoy
Towards Real-Time Approximate Counting
Yash Pote, Kuldeep S. Meel, Jiong Yang
Computationally Hard Problems Are Hard for QBF Proof Systems Too
Agnes Schleitzer, Olaf Beyersdorff
Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network
Yuta Shikuri
Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression
Co Tran, Quoc-Bao Tran, Hy Truong Son et al.
Solving Higher-Order Quantified Boolean Satisfiability via Higher-Order Model Checking
Hiroshi Unno, Takeshi Tsukada, Jie-Hong Roland Jiang
On the Modelling of Constraints with Tractable Logical Operators
Ruiwei Wang, Roland H. C. Yap
Motif-aware Graph Neural Networks for Networked Time Series Imputation
Nourhan Ahmed, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum
Wei Ai, Fuchen Zhang, Yuntao Shou et al.
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
Lingxiao Cao, Bin Wang, Guiyuan Jiang et al.
Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning
Jiajie Chen, Yu Sang, Peng-Fei Zhang et al.
LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs
Kai Chen, Xin Song, Ye Wang et al.
DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction
Weijun Chen, Yanze Wang
Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling
Yuxin Chen, Fangru Lin, Jingyi Huo et al.
POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning
Jiawei Cheng, Jingyuan Wang, Yichuan Zhang et al.
Descriptive and Discriminative Document Identifiers for Generative Retrieval
Jiehan Cheng, Zhicheng Dou, Yutao Zhu et al.
In-context Prompt-augmented Micro-video Popularity Prediction
Zhangtao Cheng, Jiao Li, Jian Lang et al.
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect
Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak et al.
Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation
Wei Dai, Kai Hwang, Jicong Fan
Augmenting Sequential Recommendation with Balanced Relevance and Diversity
Yizhou Dang, Jiahui Zhang, Yuting Liu et al.
On Finding Hubs in High Dimensions with Sampling
Huiwen Dong, Linghan Zeng, Zhiwen Zhao et al.
Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation
Yingpeng Du, Zhu Sun, Ziyan Wang et al.
Global Attribute-Association Pattern Aggregation for Graph Fraud Detection
Mingjiang Duan, Da He, Tongya Zheng et al.
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction
Ke Fei, Xinyue Zhang, Jingjing Li
Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System
Feng Gao, Xin Zhou, Yinning Shao et al.
Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction
Mohan Gao, Kexin Xu, Xiaofeng Gao et al.
Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting
Qiang Gao, Zizheng Wang, Li Huang et al.
Mixed-Curvature Multi-Modal Knowledge Graph Completion
Yuxiao Gao, Fuwei Zhang, Zhao Zhang et al.
Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
Chendi Ge, Xin Wang, Ziwei Zhang et al.
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
Shuwei Gong, Yuting Liu, Yizhou Dang et al.
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models
Wei Guan, Jian Cao, Jianqi Gao et al.
K-ON: Stacking Knowledge on the Head Layer of Large Language Model
Lingbing Guo, Yichi Zhang, Zhongpu Bo et al.
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Chengkai Han, Jingyuan Wang, Yongyao Wang et al.
Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction
Sicheng He, Junzhong Ji, Minglong Lei
MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction
Dongsheng Hong, Chao Chen, Xujia Li et al.
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
Jun Hu, Bryan Hooi, Bingsheng He et al.
Multiplex Graph Representation Learning with Homophily and Consistency
Yudi Huang, Ci Nie, Hongqing He et al.
Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution
Yuwen Ji, Wenbo Xie, Jiaqi Zhang et al.
Time Series Supplier Allocation via Deep Black-Litterman Model
Xinke Jiang, Wentao Zhang, Yuchen Fang et al.
Auto Encoding Neural Process for Multi-interest Recommendation
Yiheng Jiang, Yuanbo Xu, Yongjian Yang et al.
HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models
Xiongnan Jin, Zhilin Wang, Jinpeng Chen et al.
Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate
Jiazheng Jing, Yinan Zhang, Chunyan Miao
Cluster-guided Contrastive Class-imbalanced Graph Classification
Wei Ju, Zhengyang Mao, Siyu Yi et al.
ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems
Taeho Kim, Hyeongjun Jang, Juwon Yu et al.
Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination
Lingdu Kong, Xiaochun Yang, Tieying Li et al.
Unlocking the Power of LSTM for Long Term Time Series Forecasting
Yaxuan Kong, Zepu Wang, Yuqi Nie et al.
From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs
Iiro Kumpulainen, Sebastian Dalleiger, Jilles Vreeken et al.
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks
Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data
Zhenyu Lei, Yushun Dong, Jundong Li et al.
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
Hourun Li, Yifan Wang, Zhiping Xiao et al.
Contrastive Representation for Interactive Recommendation
Jingyu Li, Zhiyong Feng, Dongxiao He et al.
Disentangled Contrastive Bundle Recommendation with Conditional Diffusion
Jiuqiang Li
Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction
Junliang Li, Yajun Yang, Yujia Zhang et al.
Self-Explainable Graph Transformer for Link Sign Prediction
Lu Li, Jiale Liu, Xingyu Ji et al.
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
Muzhi Li, Cehao Yang, Chengjin Xu et al.
Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels
Pengbo Li, Hang Yu, Xiangfeng Luo
Structure Balance and Gradient Matching-Based Signed Graph Condensation
Rong Li, Long Xu, Songbai Liu et al.
Iterative Sparse Attention for Long-sequence Recommendation
Guanyu Lin, Jinwei Luo, Yinfeng Li et al.
Exploring the Relationship Between Samples and Masks for Robust Defect Localization
Jiang Lin, Hui Xue, Fanxiu Sun et al.
Distribution-Consistency-Guided Multi-modal Hashing
Jin-Yu Liu, Xian-Ling Mao, Tian-Yi Che et al.
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Qidong Liu, Xian Wu, Wanyu Wang et al.
Coherency Improved Explainable Recommendation via Large Language Model
Shijie Liu, Ruixin Ding, Weihai Lu et al.
Effective and Efficient Representation Learning for Flight Trajectories
Shuo Liu, Wenbin Li, Di Yao et al.
THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction
Yanchao Liu, Pengzhou Zhang, Wenchao Song et al.
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models
Yu-An Liu, Ruqing Zhang, Jiafeng Guo et al.
Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations
Yuguang Liu, Yiyun Miao, Luyao Xia
RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation
Zijin Liu, Xiang Zhao, You Song
SIGMA: Selective Gated Mamba for Sequential Recommendation
Ziwei Liu, Qidong Liu, Yejing Wang et al.
EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering
Xiao Long, Liansheng Zhuang, Aodi Li et al.
Densest k-Subgraph Mining via a Provably Tight Relaxation
Qiheng Lu, Nicholas D Sidiropoulos, Aritra Konar
Enhancing Sequential Recommendation with Global Diffusion
Mingxuan Luo, Yang Li, Chen Lin
FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning
Renqiang Luo, Huafei Huang, Ivan Lee et al.
Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation
Mingyang Lv, Xiangfeng Liu, Yuanbo Xu
Sub-Interest-Aware Representation Uniformity for Recommender System
Ruijia Ma, Yahong Lian, Chunyao Song
On Designing the Optimal Integrated Ad Auction in E-commerce Platforms
Yuchao Ma, Weian Li, Yuhan Wang et al.
GenAuction: A Generative Auction for Online Advertising
Yuchao Ma, Ruohan Qian, Bingzhe Wang et al.
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
Xiaowei Mao, Yan Lin, Shengnan Guo et al.
DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal Recommendation
Fanshen Meng, Zhenhua Meng, Ru Jin et al.
Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks
Lingyu Mu, Zhengxiao Liu, Zhitong Zhu et al.
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights
Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi et al.
Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation
Yuxin Qi, Quan Zhang, Xi Lin et al.
Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment
Yiran Qiao, Ningtao Wang, Yuncong Gao et al.
GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model
Yifang Qin, Jiaxuan Xie, Zhiping Xiao et al.
Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation
Nian Rong, Fei Xiong, Shirui Pan et al.
Hyperparametric Robust and Dynamic Influence Maximization
Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao et al.
Towards Loss-Resilient Image Coding for Unstable Satellite Networks
Hongwei Sha, Muchen Dong, Quanyou Luo et al.
Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks
Weixuan Shen, Xiaobo Shen, Shirui Pan
AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors
Hao Shi, Weili Song, Xinting Zhang et al.
Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience
Brijraj Singh, Sonal, Niranjan Pedanekar
Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints
Yash Sinha, Murari Mandal, Mohan Kankanhalli
Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation
Chao Song, Zheng Ren, Li Lu
Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation
Te Song, Lianyong Qi, Weiming Liu et al.
Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural Networks
Hui Sun, Liping Yi, Huidong Ma et al.
Hubness Change Point Detection
Ikumi Suzuki, Kazuo Hara, Eiji Murakami
Language Pre-training Guided Masking Representation Learning for Time Series Classification
Liaoyuan Tang, Zheng Wang, Jie Wang et al.
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting
Peiwang Tang, Weitai Zhang
CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation
Shuai Tang, Sitao Lin, Jianghong Ma et al.
Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs
Xiaqiang Tang, Jian Li, Nan Du et al.
ScoreNet: Consistency-driven Framework with Multi-side Information Fusion for Session-based Recommendation
Piao Tong, Qiao Liu, Zhipeng Zhang et al.
DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation
Fan Wang, Chaochao Chen, Weiming Liu et al.
MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection
Mei Wang, Xiaojie Zhu, Ruimin Hu et al.