PPaperPicks
← All conferences
Editions202620252024

SDM 2024

A

SIAM International Conference on Data Mining

Official site ↗
103
accepted papers
471
authors
April 18-20, 2024
dates
USA
location

103 / 103 papers

  1. 1
    3D Molecular Geometry Analysis with 2D Graphs
    Zhao Xu
    ,
    Yaochen Xie
    ,
    Youzhi Luo
    ,
    Xuan Zhang
    ,
    Xinyi Xu
    ,
    Meng Liu
    ,
    Kaleb Dickerson
    ,
    Cheng Deng
    ,
    Maho Nakata
    ,
    Shuiwang Ji
  2. 2
    A Novel Hybrid Graph Learning Method for Inbound Parcel Volume Forecasting in Logistics System
    Lisha Ye
    ,
    Jianfeng Zhou
    ,
    Zhe Yin
    ,
    Kunpeng Han
    ,
    Haoyuan Hu
    ,
    Dongjin Song
  3. 3
    Active Learning for Graphs with Noisy Structures
    Hongliang Chi
    ,
    Cong Qi
    ,
    Suhang Wang
    ,
    Yao Ma
  4. 4
    Ada-VAD: Domain Adaptable Video Anomaly Detection
    Dongliang Guo
    ,
    Yun Fu
    ,
    Sheng Li
  5. 5
    AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices
    Ji Liu
    ,
    Tianshi Che
    ,
    Yang Zhou
    ,
    Ruoming Jin
    ,
    Huaiyu Dai
    ,
    Dejing Dou
    ,
    Patrick Valduriez
  6. 6
    An Exemplars-Based Approach for Explainable Clustering: Complexity and Efficient Approximation Algorithms
    Ian Davidson
    ,
    Michael J. Livanos
    ,
    Antoine Gourru
    ,
    Peter B. Walker
    ,
    Julien Velcin
    ,
    S. S. Ravi
  7. 7
    An Image Dataset for Benchmarking Recommender Systems with Raw Pixels
    Yu Cheng
    ,
    Yunzhu Pan
    ,
    Jiaqi Zhang
    ,
    Yongxin Ni
    ,
    Aixin Sun
    ,
    Fajie Yuan
  8. 8
    Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification
    Uday Singh Saini
    ,
    Zhongfang Zhuang
    ,
    Chin-Chia Michael Yeh
    ,
    Wei Zhang
    ,
    Evangelos E. Papalexakis
  9. 9
    Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions
    Suhan Cui
    ,
    Jiaqi Wang
    ,
    Yuan Zhong
    ,
    Han Liu
    ,
    Ting Wang
    ,
    Fenglong Ma
  10. 10
    Blue Sky: Multilingual, Multimodal Domain Independent Deception Detection
    Dainis Boumber
    ,
    Rakesh M. Verma
    ,
    Fatima Zahra Qachfar
  11. 11
    Bridging Semantics: Mobility Analytics Framework for Knowledge Transfer
    Shreya Ghosh
    ,
    Prasenjit Mitra
  12. 12
    CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction
    Liang Wang
    ,
    Hao Fu
    ,
    Shu Wu
    ,
    Qiang Liu
    ,
    Xuelei Tan
    ,
    Fangsheng Huang
    ,
    Mengdi Zhang
    ,
    Wei Wu
  13. 13
    CaMU: Disentangling Causal Effects in Deep Model Unlearning
    Shaofei Shen
    ,
    Chenhao Zhang
    ,
    Alina Bialkowski
    ,
    Weitong Chen
    ,
    Miao Xu
  14. 14
    CausalCDR: Causal Embedding Learning for Cross-domain Recommendation
    Fengxin Li
    ,
    Hongyan Liu
    ,
    Jun He
    ,
    Xiaoyong Du
  15. 15
    CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance
    Dongyu Zhang
    ,
    Ruofan Hu
    ,
    Elke A. Rundensteiner
  16. 16
    Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach
    Praveen Ravirathinam
    ,
    Rahul Ghosh
    ,
    Ankush Khandelwal
    ,
    Xiaowei Jia
    ,
    David J. Mulla
    ,
    Vipin Kumar
  17. 17
    COMBOOD: A Semiparametric Approach for Detecting Out-of-distribution Data for Image Classification
    Magesh Rajasekaran
    ,
    Md Saiful Islam Sajol
    ,
    Frej Berglind
    ,
    Supratik Mukhopadhyay
    ,
    Kamalika Das
  18. 18
    Data Silences: How to Unsilence the Uncertainties in Data Science
    Michael Muller
  19. 19
    Decentralized Stochastic Compositional Gradient Descent for AUPRC Maximization
    Hongchang Gao
    ,
    Yubin Duan
    ,
    Yihan Zhang
    ,
    Jie Wu
  20. 20
    Deep Efficient Private Neighbor Generation for Subgraph Federated Learning
    Ke Zhang
    ,
    Lichao Sun
    ,
    Bolin Ding
    ,
    Siu Ming Yiu
    ,
    Carl Yang
  21. 21
    Denoising Long- and Short-term Interests for Sequential Recommendation
    Xinyu Zhang
    ,
    Beibei Li
    ,
    Beihong Jin
  22. 22
    Differences Between Hard and Noisy-labeled Samples: An Empirical Study
    Mahsa Forouzesh
    ,
    Patrick Thiran
  23. 23
    Dimensionality-Aware Outlier Detection
    Alastair Anderberg
    ,
    James Bailey
    ,
    Ricardo J. G. B. Campello
    ,
    Michael E. Houle
    ,
    Henrique O. Marques
    ,
    Milos Radovanovic
    ,
    Arthur Zimek
  24. 24
    DimReg: Embedding Dimension Search via Regularization for Recommender Systems
    Mingjun Zhao
    ,
    Liyao Jiang
    ,
    Yakun Yu
    ,
    Xinmin Wang
    ,
    Yi Yuan
    ,
    Zheng Wei
    ,
    Di Niu
  25. 25
    Disinformation Detection: An Evolving Challenge in the Age of LLMs
    Bohan Jiang
    ,
    Zhen Tan
    ,
    Ayushi Nirmal
    ,
    Huan Liu
  26. 26
    Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning
    Reda Khoufache
    ,
    Mustapha Lebbah
    ,
    Hanene Azzag
    ,
    Étienne Goffinet
    ,
    Djamel Bouchaffra
  27. 27
    Dual-disentangled Deep Multiple Clustering
    Jiawei Yao
    ,
    Juhua Hu
  28. 28
    Dual-stage Flows-based Generative Modeling for Traceable Urban Planning
    Xuanming Hu
    ,
    Wei Fan
    ,
    Dongjie Wang
    ,
    Pengyang Wang
    ,
    Yong Li
    ,
    Yanjie Fu
  29. 29
    DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion
    Zhenzhen Chu
    ,
    Jiayu Chen
    ,
    Cen Chen
    ,
    Chengyu Wang
    ,
    Ziheng Wu
    ,
    Jun Huang
    ,
    Weining Qian
  30. 30
    DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation
    Zhiqiang Guo
    ,
    Guohui Li
    ,
    Jianjun Li
    ,
    Chaoyang Wang
    ,
    Si Shi
  31. 31
    Early Multiple Temporal Patterns Based Event Prediction in Heterogeneous Multivariate Temporal Data
    Nevo Itzhak
    ,
    Szymon Jaroszewicz
    ,
    Robert Moskovitch
  32. 32
    EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series
    Shamima Hossain
    ,
    Christos Faloutsos
    ,
    Boris Baer
    ,
    Hyoseung Kim
    ,
    Vassilis J. Tsotras
  33. 33
    EsaCL: An Efficient Continual Learning Algorithm
    Weijieying Ren
    ,
    Vasant G. Honavar
  34. 34
    Exploiting Multifaceted Nature of Items and Users for Session-based Recommendation
    Tianqi Sun
    ,
    Hongrui Guo
    ,
    Zihan Zhang
    ,
    Hongzhi Liu
    ,
    Zhonghai Wu
  35. 35
    Feature Interaction Aware Automated Data Representation Transformation
    Ehtesamul Azim
    ,
    Dongjie Wang
    ,
    Kunpeng Liu
    ,
    Wei Zhang
    ,
    Yanjie Fu
  36. 36
    Feature-Engineered Random Forests
    Saket Sathe
    ,
    Charu Aggarwal
    ,
    Horst Samulowitz
    ,
    Deepak S. Turaga
  37. 37
    FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning
    Hongyu Zhang
    ,
    Dongyi Zheng
    ,
    Xu Yang
    ,
    Jiyuan Feng
    ,
    Qing Liao
  38. 38
    Foundation Models for Spatiotemporal Tasks in the Physical World
    Zhe Jiang
    ,
    Yu Wang
    ,
    Zelin Xu
  39. 39
    GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model
    Zhiyu Zhu
    ,
    Huaming Chen
    ,
    Xinyi Wang
    ,
    Jiayu Zhang
    ,
    Zhibo Jin
    ,
    Kim-Kwang Raymond Choo
    ,
    Jun Shen
    ,
    Dong Yuan
  40. 40
    Genius: Subteam Replacement with Clustering-based Graph Neural Networks
    Chuxuan Hu
    ,
    Qinghai Zhou
    ,
    Hanghang Tong
  41. 41
    Geospatial Topological Relation Extraction from Text with Knowledge Augmentation
    Wei Hu
    ,
    Bowen Jin
    ,
    Minhao Jiang
    ,
    Sizhe Zhou
    ,
    Zhaonan Wang
    ,
    Jiawei Han
    ,
    Shaowen Wang
  42. 42
    Graph Summarization for Preserving Spectral Characteristics
    Houquan Zhou
    ,
    Shenghua Liu
    ,
    Huawei Shen
    ,
    Xueqi Cheng
  43. 43
    Graph-based Student Knowledge Profile for Online Intelligent Education
    Jinze Wu
    ,
    Haotian Zhang
    ,
    Zhenya Huang
    ,
    Liang Ding
    ,
    Qi Liu
    ,
    Jing Sha
    ,
    Enhong Chen
    ,
    Shijin Wang
  44. 44
    H2ABM: Heterogeneous Agent-based Model on Hypergraphs to Capture Group Interactions
    Vivek Anand
    ,
    Jiaming Cui
    ,
    Jack Heavey
    ,
    Anil Vullikanti
    ,
    B. Aditya Prakash
  45. 45
    HADT: Human-AI Diagnostic Team via Hierarchical Reinforcement Learning
    Xuehan Zhao
    ,
    Jiaqi Liu
    ,
    Zhiwen Yu
    ,
    Bin Guo
  46. 46
    Helper Recommendation with seniority control in Online Health Community
    Junruo Gao
    ,
    Chen Ling
    ,
    Carl Yang
    ,
    Liang Zhao
  47. 47
    HyperFLoRA: Federated Learning with Instantaneous Personalization
    Qikai Lu
    ,
    Di Niu
    ,
    Mohammadamin Samadi Khoshkho
    ,
    Baochun Li
  48. 48
    Identification and Uses of Deep Learning Backbones via Pattern Mining
    Michael J. Livanos
    ,
    Ian Davidson
  49. 49
    Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features
    Erhu He
    ,
    Yiqun Xie
    ,
    Licheng Liu
    ,
    Zhenong Jin
    ,
    Dajun Zhang
    ,
    Xiaowei Jia
  50. 50
    Label Distribution Learning-Enhanced Dual-KNN for Text Classification
    Bo Yuan
    ,
    Yulin Chen
    ,
    Zhen Tan
    ,
    Jinyan Wang
    ,
    Huan Liu
    ,
    Yin Zhang