DM211 |
Generating Realistic Tabular Data with Large Language Model |
Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, and Svetha Venkatesh |
Classification, Generative model, Large language model (LLM), Tabular data generation, Realistic tabular samples |
DM216 |
Graph Community Augmentation with GMM-based Modeling in Latent Space |
Shintaro Fukushima and Kenji Yamanishi |
Community Augmentation, Extrapolation, Generative Model, Graph Generation, Minimum Description Length Principle |
DM233 |
Solving Combinatorial Optimization Problem over Graph through QUBO Transformation and Deep Reinforcement Learning |
Tianle Pu, Chao Chen, Li Zeng, Shixuan Liu, Rui Sun, and Changjun Fan |
Combinatorial Optimization, Quadratic Unconstrained Binary Optimization, Reinforcement Learning, Graph Transformer |
DM245 |
HyperTime: A Dynamic Hypergraph Approach for Time Series Classification |
Raneen Younis and Zahra Ahmadi |
Time series classification, Dynamic hypergraph, Graph neural networks |
DM254 |
Towards Efficient Ridesharing via Order-Vehicle Pre-Matching Using Attention Mechanism |
Zhidan Liu, Jinye Lin, Zhiyu Xia, Chao Chen, and Kaishun Wu |
Ridesharing, Order-vehicle pre-matching, Self-attention mechanism, Spatial-temporal |
DM270 |
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning |
Kangyang Luo, Shuai Wang, Yexuan Fu, Renrong Shao, Xiang Li, Yunshi Lan, Ming Gao, and Jinlong Shu |
One-shot Federated Learning, Data-free knowledge distillation, Data heterogeneity, Model heterogeneity |
DM277 |
Transitivity-Encoded Graph Attention Networks for Complementary Item Recommendations |
Jin Shang, Yang Jiao, Chenghuan Guo, Minghao Sun, Yan Gao, Jia Liu, Michinari Momma, Itetsu Taru, and Yi Sun |
complementary recommendation, graph neural networks, graph attention networks, self-supervised learning |
DM288 |
SR-PredictAO: Session-based Recommendation with High-Capability Predictor Add-On |
Ruida WANG, Raymond Chi-Wing Wong, and Weile TAN |
session-based recommendation, recommender system, neural decision forest, tree-based method |
DM301 |
Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder |
Duy Nguyen Anh, Trang Tran, Hieu Pham Huy, Le Nguyen Phi, and Lam Nguyen Minh |
Time series representation learning, Noise-resiliency training strategy, Inception |
DM306 |
Efficient Network Embedding by Approximate Equitable Partitions |
Giuseppe Squillace, Mirco Tribastone, Max Tschaikowski, and Andrea Vandin |
Equitable partitions, network embedding, backward equivalence, structural equivalence |
DM315 |
Hierarchical Explanations for Text Classification Models: Fast and Effective |
Zhenyu Nie, Zheng Xiao, Huizhang Luo, Xuan Liu, and Anthony Theodore Chronopoulos |
Hierarchical interpretation, Explanation efficiency, Word interactions, Text classification |
DM319 |
ADOD: Adaptive Density Outlier Detection |
Li Qian, Jing Qian, Xin Sun, Wengang Guo, and Christian Böhm |
Outlier Detection, Unsupervised Learning, Adaptive Density, Mutual Neighbors Graph |
DM322 |
Adaptive Graph Neural Networks for Cold-start Multimedia Recommendation |
Zhen Li, Jibin Wang, Zhuo Chen, Kun Wu, Yuanzhen Wei, and Hai Huang |
Multimedia Recommendation, Graph Neural Network, Social Network, Multimodal |
DM323 |
Graph Contrastive Learning with Adversarial Structure Refinement (GCL-ASR) |
Jiangwen Chen, Kou Guang, Qiyang Li, and Tan Hao |
GNN, GCL, GANs, Data mining |
DM327 |
Adaptive Loss-ware Modulation for Multimedia Retrieval |
Jian Zhu, Yu Cui, Zeyi Sun, Yuyang Dai, Xi Wang, Lei Liu, Cheng Luo, and Li-Rong Dai |
Multi-view Hash, Gradient Modulation, Multi-modal Hash, Multimedia Retrieval, Image Retrieval. |
DM331 |
Enhancing Embeddings Quality with Stacked Gate for Click-Through Rate Prediction |
Caihong Mu, Yunfei Fang, Jialiang Zhou, and Yi Liu |
CTR Prediction, AutoML, Neural Architecture Search, Recommendation |
DM337 |
Towards Cross-domain Few-shot Graph Anomaly Detection |
Jiazhen Chen, Sichao Fu, Zhibin Zhang, Zheng Ma, Mingbin Feng, Tony Wirjanto, and Qinmu Peng |
Graph Anomaly Detection, Graph Neural Network, Few-shot Learning, Domain Adaptation, Prompt Learning |
DM359 |
Debunking Fake News in Online Social Networks without Text Analysis |
Xing Su, Jian Yang, Jia Wu, and Zitai Qiu |
Fake News Detection, Hypergraph, High-order Relations, Text-independent |
DM363 |
Scalable Order-Preserving Pattern Mining |
Ling Li, Wiktor Zuba, Grigorios Loukides, Solon Pissis, and Maria Matsangidou |
frequent pattern mining, order-preserving, string algorithms, indexing |
DM366 |
Designing an attack-defense game: how to increase the robustness of financial transaction models via a competition |
Alexey Zaytsev, Alex Natekin, Evgeni Vorsin, Valerii Smirnov, Georgii Smirnov, Oleg Sidorshin, Alexander Senin, Alexander Dudin, Maria Kovaleva, and Dmitry Berestnev |
Adversarial attacks, Robustness, Deep learning, Financial data |
DM367 |
Continuous Exact Explanations of Neural Networks |
Alice Dethise and Marco Canini |
explainable ML, machine learning, post-hoc explanations |
DM373 |
Utilitarian Online Learning from Open-World Soft Sensing |
Heng Lian, Yu Huang, Xingquan Zhu, and Yi He |
Data Streams, Online Learning, Optimal Rejection, Soft Sensing, Industrial Data Mining |
DM378 |
Probabilistic Matrix Factorization-based Three-stage Label Completion for Crowdsourcing |
Boyi Yang, Liangxiao Jiang, and Wenjun Zhang |
Crowdsourcing learning, label completion, probabilistic matrix factorization |
DM383 |
Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphs |
Pengfei Jiao, Xinxun Zhang, Mengzhou Gao, and Tianpeng Li |
graph representation learning, dynamic graphs, masked auto-encoder, self-supervised learning |
DM388 |
ELiCiT: Effective and Lightweight Lossy Compression of Tensors |
Jihoon Ko, Taehyung Kwon, Jinhong Jung, and Kijung Shin |
Matrix Compression, Tensor Compression, Matrix Completion, Neural-network Compression |
DM393 |
LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data |
Bang An, Xun Zhou, Amin Khezerlou, Nick Street, Jinping Guan, and Jun Luo |
Spatialtemporal Data Mining, Traffic Accident Forecasting |
DM402 |
RecCoder: Reformulating Sequential Recommendation as Large Language Model-Based Code Completion |
Kai-Huang Lai, Wudong Xi, Xingxing Xing, Wei Wan, Chang-Dong Wang, Min Chen, and Mohsen Guizani |
large language model, sequential recommendation |
DM409 |
Scaling Disk Failure Prediction via Multi-Source Stream Mining |
Shujie Han, Zirui Ou, Qun Huang, and Patrick P. C. Lee |
disk failure prediction, multi-source stream mining, scalability |
DM410 |
Contrastive Learning for Adapting Language Model to Sequential Recommendation |
Fei-Yao Liang, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Chang-Dong Wang, Min Chen, and Mohsen Guizani |
sequential recommendation, contrastive learning, large language model |
DM412 |
GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs |
Wei Huang, Hanchen Wang, Dong Wen, Xuefeng Chen, Wenjie zhang, and Ying Zhang |
Steiner Tree, Reinforcement Learning, Graph Neural Networks, A* Search |
DM413 |
HomoMGC: Homophily-enhanced Adaptive Graph Refinement for Multi-view Graph Clustering |
Man-Sheng Chen, Xiao-Sha Cai, Chang-Dong Wang, Dong Huang, Min Chen, and Mohsen Guizani |
multi-view graph clustering, homophily assumption, heterogeneous edges, adaptive graph refinement, low-rank tensor |
DM419 |
Cross-Store Next-Basket Recommendation |
Liangchen Ma, Ya Li, Zifeng Mai, Feiyao Liang, Chang-Dong Wang, Min Chen, and Mohsen Guizani |
next-basket recommendation, cross-domain recommendation, graph neural network |
DM430 |
Emotional Synchronization for Audio-Driven Talking-Head Generation |
Zhao Zhang, Yan Luo, Zhichao Zuo, Richang Hong, Yi Yang, and Meng Wang |
Audio-driven talking-head synthesis, Emotional synchronization, Attention |
DM436 |
High-Fidelity Diffusion Editor for Zero-Shot Text-Guided Video Editing |
Yan Luo, Zhichao Zuo, Zhao Zhang, Zhongqiu Zhao, Haijun Zhang, and Richang Hong |
Zero-shot video editing, High-fidelity, Diffusion-based generative model, Text-to-video, Spatial-temporal attention. |
DM438 |
Early Fire Detection based on Local Morphological Knowledge Matching |
Xinzhi Wang, Mengyue Li, Nengjun Zhu, Jiayan Qian, and Zhanyi Zheng |
local morphological knowledge, fire object localization, early fire detection |
DM442 |
GADIN: Generative Adversarial Denoise Imputation Network for Incomplete Data |
Dong Li, Zhicong Liu, Mingfeng Hu, Baoyan Song, and Xiaohuan Shan |
Missing data, Data imputation, Generative adversarial network, Denoising network |
DM455 |
APOLLO: Differential Private Online Multi-Sensor Data Prediction with Certified Performance |
Honghui Xu, Wei Li, Shaoen Wu, Liang Zhao, and Zhipeng Cai |
Multi-sensor Data Analysis, Differential Privacy, Correlated Data Privacy |
DM461 |
Combining Self-Supervision and Privileged Information for Representation Learning from Tabular Data |
Haoyu Yang, Gyorgy Simon, Michael Steinbach, Genevieve Melton, and Vipin Kumar |
Self-Supervised Learning, Privileged Information, Representation Learning, Healthcare |
DM475 |
Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction |
Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Sahar Ghanipoor Machiani, Yanhua Li, and Jun Luo |
urban dynamics prediction, latent diffusion models, spatial-temporal data mining |
DM482 |
EEiF: Efficient Isolated Forest with e Branches for Anomaly Detection |
Yifan Zhang, Haolong Xiang, Xuyun Zhang, Xiaolong Xu, Wei Fan, Qin Zhang, and Lianyong Qi |
Anomaly Detection, FR clustering, Efficient, Parallel Algorithm |
DM488 |
Margin-bounded Confidence Scores for Out-of-Distribution Detection |
Lakpa Tamang, Mohamed Reda Bouadjenek, Richard Dazeley, and Sunil Aryal |
out-of-distribution, outlier exposure, confidence score, weighted penalty |
DM510 |
Towards Dynamic University Course Timetabling Problem: An Automated Approach Augmented via Reinforcement Learning |
Yanan Xiao, XiangLin Li, Lu Jiang, Pengfei Wang, Kaidi Wang, and Na Luo |
Course Timetable, Reinforcement Learning |
DM515 |
Fast and Accurate Triangle Counting in Graph Streams Using Predictions |
Cristian Boldrin and Fabio Vandin |
Triangle Counting, Sampling, Algorithms with Predictions, Graph Stream Mining |
DM546 |
Efficiently Manipulating Structural Graph Clustering Under Jaccard Similarity |
Chuanyu Zong, Rui Fang, Meng-xiang Wang, Tao Qiu, and Anzhen Zhang |
Structural graph clustering, Jaccard similarity, Manipulation, Incremental computation |
DM591 |
HFGNN: Efficient Graph Neural Networks using Hub-Fringe Structures |
Pak Lon Ip, Sheng Hui Zhang, Xue Kai Wei, Tsz Nam Chan, and Leong Hou U |
Expressivity, Graph Neural Networks, Hub-Fringe, Hub Labeling |
DM610 |
A Bayesian Hierarchical Model for Orthogonal Tucker Decomposition with Oblivious Tensor Compression |
Matthew Pietrosanu, Bei Jiang, and Linglong Kong |
Bayes methods, Compressed sensing, Monte Carlo methods, Statistical analysis, Tensors |
DM611 |
Normalizing self-supervised learning for provably reliable Change Point Detection |
Alexandra Bazarova, Evgenia Romanenkova, and Alexey Zaytsev |
change point detection, self-supervised learning, spectral normalization |
DM634 |
Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis |
Guangwei Dong, Xuexiong Luo, Jing Du, Jia Wu, Shan Xue, Jian Yang, and Amin Beheshti |
Counterfactual augmentation, Brain disorder analysis, Graph contrastive learning |
DM641 |
CounterFair: Group Counterfactuals for Bias Detection, Mitigation and Subgroup Identification |
Alejandro Kuratomi, Zed Lee, Panayiotis Tsaparas, Guilherme Dinis Junior, Evaggelia Pitoura, Tony Lindgren, and Panagiotis Papapetrou |
Counterfactual explanations, Algorithmic fairness, Group counterfactuals, Local explainability |
DM655 |
Financial Risk Assessment via Long-term Payment Behavior Sequence Folding |
Yiran Qiao, Yateng Tang, Xiang Ao, Qi Yuan, Ziming Liu, Chen Shen, and Xuehao Zheng |
Financial Risk Assessment, Long Sequence Modeling, User Behavior Modeling |
DM667 |
Scalable Graph Classification via Random Walk Fingerprints |
Peiyan Li, Honglian Wang, and Christian Böhm |
Graph Classification, Feature Extraction, Scalability, Interpretability |
DM690 |
Dual Cross-Stage Partial Learning for Enhanced Object Detection in Dehazed Images |
Jinbiao Zhao, Zhao Zhang, Jiahuan Ren, Haijun Zhang, Zhongqiu Zhao, and Meng Wang |
Image dehazing, object detection, anchor-free, dual cross stage partial learning |
DM697 |
Resource2Box: Learning To Rank Resources in Distributed Search Using Box Embedding |
Ulugbek Ergashev, Geon Lee, Kijung Shin, Eduard Dragut, and Weiyi Meng |
Box Embedding, Learning to Rank, Distributed Search |
DM709 |
ChronoCTI: Mining Knowledge Graph of Temporal Relations among Cyberattack Actions |
Md Rayhanur Rahman, Brandon Wroblewski, Quinn Matthews, Brantley Morgan, Timothy Menzies, and Laurie Williams |
MITRE ATT&CK, Temporal relation, Cyberthreat intelligence, CTI reports, Knowledge graph |
DM713 |
Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization |
Hang Zhou, Wentao Yu, Sheng Wan, Yongxin Tong, Tianlong Gu, and Chen Gong |
spatial-temporal data, traffic flow prediction, personalized federated learning |
DM717 |
Warm-Starting Contextual Bandits under Latent Reward Scaling |
Bastian Oetomo, R. Malinga Perera, Renata Borovica-Gajic, and Benjamin I. P. Rubinstein |
multi-armed bandits, warm-start, pre-training |
DM734 |
Feature Map Purification for Enhancing Adversarial Robustness of Deep Timeseries Classifiers |
Mubarak Abdu-Aguye, Zaigham Zaheer, and Karthik Nandakumar |
adversarial robustness, feature maps, purification, timeseries, wavelets |
DM743 |
Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations |
Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul Hanson, Yiqun Xie, Yanhua Li, and Xiaowei Jia |
physics-guided learning, knowledge integration, adaptive learning, ecosystem modeling |
DM745 |
TROPICAL: Transformer-based Hypergraph Learning for Camouflaged Fraudsters Detection |
Venus Haghighi, Behnaz Soltani, Nasrin Shabani, Jia Wu, Yang Zhang, Lina Yao, Quan Z. Sheng, and Jian Yang |
Hypergraph Learning, Camouflage, Fraud Detection |
DM747 |
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation |
Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, and Hengshu Zhu |
Online recruitment, job recommendation, cognitive diagnosis, disentangled learning |
DM760 |
MOStream: A Modular and Self-Optimizing Data Stream Clustering Algorithm |
Zhengru Wang, Xin Wang, and Shuhao Zhang |
data stream clustering, cluster evolution, outlier evolution, dimention changes |
DM772 |
TAN: A Tripartite Alignment Network Enhancing Composed Image Retrieval with Momentum Distillation |
Yongquan Wan, Erhe Yang, Cairong Yan, Guobing Zou, and Bofeng Zhang |
image retrieval, composed image retrieval, multimodal, knowledge distillation |
DM776 |
PROMIPL:A Probabilistic Generative Model for Multi-Instance Partial-Label Learning |
Yin-Fang Yang, Wei Tang, and Min-Ling Zhang |
Multi-Instance Partial-Label Learning, Generative Model, Probabilistic Disambiguation, Label Distribution, Variational Bayesian. |
DM778 |
Bi-level User Modeling for Deep Recommender Systems |
Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, and Qidong Liu |
User Modeling, Deep Recommender Systems, CTR Prediction |
DM783 |
A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems |
Qingfeng Chen, Boquan Wei, Debo Cheng, Jiuyong Li, Lin Liu, and Shichao Zhang |
Recommendation systems, causal inference, selection bias, shadow variables. |
DM790 |
EMIT - Event Based Masked Auto Encoding for Irregular Time Series |
Hrishikesh Patel, Ruihong Qiu, Adam Irwin, Shazia Sadiq, and Sen Wang |
Irregular time series, Self-supervised learning, Healthcare |
DM806 |
A Learned Approach to Index Algorithm Selection |
Chaohong Ma, Xiaohui Yu, Yifan Li, Aishan Maoliniyazi, and Xiaofeng Meng |
Algorithm selection, Featurization, Adaptation |