Most Cited AAAI "sketch-based ideation" Papers
5,317 papers found • Page 18 of 27
Conference
Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models
Yifang Xu, Yunzhuo Sun, Benxiang Zhai et al.
HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection
Yongchao Xu, Jiawei Liu, Sen Tao et al.
OOTDiffusion: Outfitting Fusion Based Latent Diffusion for Controllable Virtual Try-On
Yuhao Xu, Tao Gu, Weifeng Chen et al.
FLAME: Learning to Navigate with Multimodal LLM in Urban Environments
Yunzhe Xu, Yiyuan Pan, Zhe Liu et al.
FATE: Feature-Adapted Parameter Tuning for Vision-Language Models
Zhengqin Xu, Zelin Peng, Xiaokang Yang et al.
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP
Zhongxing Xu, Feilong Tang, Zhe Chen et al.
RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting
Wen Xue, Chun Ding, Ruotao Xu et al.
Physical Marker: Revealing Invisible Hyperlinks Hidden in Printed Trademarks
Yuliang Xue, Lei Tan, Guobiao Li et al.
Towards Universal Rainy Image Restoration: Benchmark and Baseline
Hujie Yan
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation
Ke Yan, Qing Cai, Fan Zhang et al.
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
YangTian Yan, Jinyu Tian
Robust Image Hashing Based on Contrastive Masked Autoencoder with Weak-Strong Augmentation Alignment
Cundian Yang, Guibo Luo, Yuesheng Zhu et al.
PlanLLM: Video Procedure Planning with Refinable Large Language Models
Dejie Yang, Zijing Zhao, Yang Liu
3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly Detection
Enquan Yang, Peng Xing, Hanyang Sun et al.
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
Jiarui Yang, Tao Dai, Yufei Zhu et al.
SMamba: Sparse Mamba for Event-based Object Detection
Nan Yang, Yang Wang, Zhanwen Liu et al.
One-Shot Reference-based Structure-Aware Image to Sketch Synthesis
Rui Yang, Honghong Yang, Li Zhao et al.
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding
Senqiao Yang, Jiaming Liu, Renrui Zhang et al.
Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring
Wen Yang, Jinjian Wu, Leida Li et al.
Dual Information Purification for Lightweight SAR Object Detection
Xi Yang, Jiachen Sun, Songsong Duan et al.
DriveGazen: Event-Based Driving Status Recognition Using Conventional Camera
Xiaoyin Yang, Xin Yang
Semantic Segmentation on Raindrop Degraded Images Using Two-Stage Dual Teacher-Student Learning
Xin Yang, Wending Yan, Yuan Yuan et al.
ERF: A Benchmark Dataset for Robust Semantic Segmentation Under Extreme Rainfall Conditions
Xin Yang, Xin Zhang, Xinchao Wang
FreqTS: Frequency-Aware Token Selection for Accelerating Diffusion Models
Xinye Yang, Yuxin Yang, Haoran Pang et al.
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
Yu Yang, Jianbiao Mei, Yukai Ma et al.
UAWTrack: Universal 3D Single Object Tracking in Adverse Weather
Yuxiang Yang, Hongjie Gu, Yingqi Deng et al.
RealPortrait: Realistic Portrait Animation with Diffusion Transformers
Zejun Yang, Huawei Wei, Zhisheng Wang
Single Image Rolling Shutter Removal with Diffusion Models
Zhanglei Yang, Haipeng Li, Mingbo Hong et al.
MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation
Zhifei Yang, Keyang Lu, Chao Zhang et al.
MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation
Zhiwei Yang, Yucong Meng, Kexue Fu et al.
MM-Tracker: Motion Mamba for UAV-platform Multiple Object Tracking
Mufeng Yao, Jinlong Peng, Qingdong He et al.
As Pseudo-Label Free as Possible: Leveraging Adaptive Feature Generation for Sparsely Annotated Object Detection
Shuilian Yao, Yu Liu, Qi Jia et al.
Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation
Chengyang Ye, Yunzhi Zhuge, Pingping Zhang
VersaFusion: A Versatile Diffusion-Based Framework for Fine-Grained Image Editing and Enhancement
Haocun Ye, Xinlong Jiang, Chenlong Gao et al.
PromptHaze: Prompting Real-world Dehazing via Depth Anything Model
Tian Ye, Sixiang Chen, Haoyu Chen et al.
Optimized Gradient Clipping for Noisy Label Learning
Xichen Ye, Yifan Wu, Weizhong Zhang et al.
Personalized Lip Reading: Adapting to Your Unique Lip Movements with Vision and Language
Jeong Hun Yeo, Chae Won Kim, Hyunjun Kim et al.
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
Frequency-Aware Density Control via Reparameterization for High-Quality Rendering of 3D Gaussian Splatting
Zhaojie Zeng, Yuesong Wang, Lili Ju et al.
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.