PPaperPicks
← All conferences
Editions202620252024

SDM 2025

A

SIAM International Conference on Data Mining

Official site ↗
71
accepted papers
266
authors
May 1-3, 2025
dates
USA
location

71 / 71 papers

  1. 1
    A Look Into News Avoidance Through AWRS: An Avoidance-Aware Recommender System
    Igor L. R. Azevedo
    ,
    Toyotaro Suzumura
    ,
    Yuichiro Yasui
  2. 2
    Acceleration in Low-Rank Tensor Completion
    Yifan Kang
    ,
    Mengyuan Zhang
    ,
    Kai Liu
  3. 3
    Accurately Estimating Unreported Infections using Information Theory
    Jiaming Cui
    ,
    Bijaya Adhikari
    ,
    Arash Haddadan
    ,
    A. S. M. Ahsan-Ul-Haque
    ,
    Jilles Vreeken
    ,
    Anil Vullikanti
    ,
    B. Aditya Prakash
  4. 4
    An Interpretable Measure for Quantifying Predictive Dependence between Continuous Random Variables
    Renato Assunção
    ,
    Flávio Figueiredo
    ,
    Francisco N. Tinoco Júnior
    ,
    Léo M. de Sá-Freire
    ,
    Fábio Silva
  5. 5
    AnchorDrug: A system for drug-induced gene expression prediction in new contexts through active learning
    Han Meng
    ,
    Ruoqiao Chen
    ,
    Bin Chen
    ,
    Jiayu Zhou
  6. 6
    Anomaly Detection via Graph Contrastive Learning
    Emre Sefer
  7. 7
    Approximating splits for decision trees quickly in sparse data streams
    Nikolaj Tatti
  8. 8
    Automated Learning of Semantic Embedding Representations for Diffusion Models
    Limai Jiang
    ,
    Yunpeng Cai
  9. 9
    AutoSTDiff: Autoregressive Spatio-Temporal Denoising Diffusion Model for Asynchronous Trajectory Generation
    Rongchao Xu
    ,
    Zhiqing Hong
    ,
    Guang Wang
  10. 10
    AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation
    MohammadReza EskandariNasab
    ,
    Shah Muhammad Hamdi
    ,
    Soukaina Filali Boubrahimi
  11. 11
    Better AI For Understanding Life on Earth: Predict First, Design Later
    Yana Bromberg
    ,
    Amarda Shehu
  12. 12
    Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation
    Renqi Jia
    ,
    Xiaokun Zhang
    ,
    Bowei He
    ,
    Qiannan Zhu
    ,
    Weitao Xu
    ,
    Jiehao Chen
    ,
    Chen Ma
  13. 13
    Blue Sky: Expert-in-the-Loop Representation Learning Framework for Audio Anti-Spoofing: Multimodal, Multilingual, Multi-speaker, Multi-attack (4M) Scenarios
    Zahra Khanjani
    ,
    Vandana P. Janeja
    ,
    Christine Mallinson
    ,
    Sanjay Purushotham
  14. 14
    Blue Sky: Reducing Performance Gap between Commercial and Open-Source LLMs
    Adithya Kulkarni
    ,
    Mohna Chakraborty
  15. 15
    Bridging Numbers and Narratives: Enhancing Financial Market Risk Predictions through Numerical Information from Financial Documents
    Yu Qin
    ,
    Chengshang Zhang
    ,
    Wei Xu
  16. 16
    CDSRNP: Cross-Domain Sequential Recommendation via Neural Process
    Haipeng Li
    ,
    Jiangxia Cao
    ,
    Yiwen Gao
    ,
    Yunhuai Liu
    ,
    Shuchao Pang
  17. 17
    CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic
    Huaiyuan Yao
    ,
    Longchao Da
    ,
    Vishnu Nandam
    ,
    Justin Turnau
    ,
    Zhiwei Liu
    ,
    Linsey Pang
    ,
    Hua Wei
  18. 18
    Conformal Edge-Weight Prediction in Latent Space
    Akash Choudhuri
    ,
    Yongjian Zhong
    ,
    Mehrdad Moharrami
    ,
    Christine Klymko
    ,
    Mark Heimann
    ,
    Jayaraman J. Thiagarajan
    ,
    Bijaya Adhikari
  19. 19
    Constraint-Focused Training for Multistate Survival Analysis with Neural Networks
    Ryosuke Takayama
    ,
    Masanao Natsumeda
  20. 20
    Context-Aware Frequency-Embedding Networks for Spatio-Temporal Portfolio Selection
    Ruirui Liu
    ,
    Huichou Huang
    ,
    Johannes Ruf
    ,
    Haoxian Liu
    ,
    Qingyao Wu
  21. 21
    Convergence-Guaranteed Elastic Net Graphical Model Estimation with Applications to Anomaly Localization
    Dzung T. Phan
    ,
    Matt Menickelly
    ,
    Tsuyoshi Idé
    ,
    Jayant Kalagnanam
  22. 22
    CoT-Decoding: Complex Reasoning via Chain-of-Thought Decoding
    Guoquan Lu
    ,
    Lin Peng
    ,
    Li Li
  23. 23
    Data mining the functional architecture of the brain's circuitry
    Adam S. Charles
  24. 24
    Defense Against Shortest Path Attacks
    Benjamin A. Miller
    ,
    Zohair Shafi
    ,
    Wheeler Ruml
    ,
    Yevgeniy Vorobeychik
    ,
    Tina Eliassi-Rad
    ,
    Scott Alfeld
  25. 25
    Differentially Private Associative Co-clustering
    Elena Battaglia
    ,
    Ruggero G. Pensa
  26. 26
    DMDHC: Discovery of Multi-Density Hierarchical Cluster Structures
    Walid Durani
    ,
    Dominik Mautz
    ,
    Claudia Plant
    ,
    Christian Böhm
  27. 27
    Domain Knowledge Augmented Contrastive Learning on Dynamic Hypergraphs for Improved Health Risk Prediction
    Akash Choudhuri
    ,
    Hieu Vu
    ,
    Kishlay Jha
    ,
    Bijaya Adhikari
  28. 28
    Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems
    Yiming Sun
    ,
    Runlong Yu
    ,
    Runxue Bao
    ,
    Yiqun Xie
    ,
    Ye Ye
    ,
    Xiaowei Jia
  29. 29
    DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering
    Shangdi Yu
    ,
    Laxman Dhulipala
    ,
    Jakub Lacki
    ,
    Nikos Parotsidis
  30. 30
    Efficient Sampling of Temporal Networks with Preserved Causality Structure
    Felix I. Stamm
    ,
    Mehdi Naima
    ,
    Michael T. Schaub
  31. 31
    Emergence of Cooperation in Multi-Agent Reinforcement Learning via Coalition Labeling and Structural Entropy
    Dingli Su
    ,
    Hao Peng
    ,
    Guangjie Zeng
    ,
    Pu Li
    ,
    Angsheng Li
    ,
    Yicheng Pan
  32. 32
    End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection
    Boje Deforce
    ,
    Meng-Chieh Lee
    ,
    Bart Baesens
    ,
    Estefanía Serral Asensio
    ,
    Jaemin Yoo
    ,
    Leman Akoglu
  33. 33
    Equipping Graph Autoencoders: Revisiting Masking Strategies from a Robustness Perspective
    Shuhan Song
    ,
    Ping Li
    ,
    Ming Dun
    ,
    Yuan Zhang
    ,
    Huawei Cao
    ,
    Xiaochun Ye
  34. 34
    Evaluating Time Series Models with Knowledge Discovery
    Li Zhang
  35. 35
    Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs
    Ruomeng Ding
    ,
    Xujiang Zhao
    ,
    Chen Zhao
    ,
    Minglai Shao
    ,
    Zhengzhang Chen
    ,
    Haifeng Chen
  36. 36
    Explainable AI for Real-Time Video Anomaly Anticipation
    David C. Anastasiu
  37. 37
    Feature Deviation Embedding Improves Graph Structure Learning for Spatial Interpolation
    Chaofan Li
    ,
    Till Riedel
    ,
    Michael Beigl
  38. 38
    Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection
    Long Tan Le
    ,
    Tung-Anh Nguyen
    ,
    Han Shu
    ,
    Suranga Seneviratne
    ,
    Choong Seon Hong
    ,
    Nguyen H. Tran
  39. 39
    FedGrAINS: Personalized SubGraph Federated Learning with AdaptIve Neighbor Sampling
    Emir Ceyani
    ,
    Han Xie
    ,
    Baturalp Buyukates
    ,
    Carl Yang
    ,
    Salman Avestimehr
  40. 40
    Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph
    Wang-Tao Zhou
    ,
    Zhao Kang
    ,
    Sicong Liu
    ,
    Lizong Zhang
    ,
    Ling Tian
  41. 41
    GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization
    Xiaodong Yang
    ,
    Xiaoting Li
    ,
    Huiyuan Chen
    ,
    Yiwei Cai
  42. 42
    Heterogeneous Multi-Agent Framework for Dynamic Generalized Category Discovery
    Fatimah Alotaibi
    ,
    Adithya Kulkarni
    ,
    Dawei Zhou
  43. 43
    Hierarchical Superpixel Segmentation via Structural Information Theory
    Minhui Xie
    ,
    Hao Peng
    ,
    Pu Li
    ,
    Guangjie Zeng
    ,
    Shuhai Wang
    ,
    Jia Wu
    ,
    Peng Li
    ,
    Philip S. Yu
  44. 44
    Hybrid Bayesian Optimization with DIRECT
    Hongsheng Liu
    ,
    Dzung T. PhaC
  45. 45
    Inter-Well Active Magnetic Ranging with Temporal and Interaction Network
    Zelong Hao
    ,
    Haitao Zhang
    ,
    Yang Che
    ,
    Wang Liu
  46. 46
    Label Shift Estimation With Incremental Prior Update
    Yunrui Zhang
    ,
    Gustavo Batista
    ,
    Salil S. Kanhere
  47. 47
    Language Models are Explorers for Join Discovery on Data Lakes
    Yaohua Wang
    ,
    Bolin Ding
    ,
    Rong Zhu
    ,
    Haibin Wang
    ,
    Zhijian Ma
    ,
    Jingren Zhou
  48. 48
    Learning Confident Classifiers in the Presence of Label Noise
    Asma Ahmed Hashmi
    ,
    Aigerim Zhumabayeva
    ,
    Nikita Kotelevskii
    ,
    Artem Agafonov
    ,
    Mohammad Yaqub
    ,
    Maxim Panov
    ,
    Martin Takác
  49. 49
    Meta-learning of Class Knowledge in Zero-shot Learning
    Yuta Nambu
    ,
    Masahiro Kohjima
    ,
    Tomoharu Iwata
    ,
    Ryuji Yamamoto
  50. 50
    Metrics for Inter-Dataset Similarity with Example Applications in Synthetic Data and Feature Selection Evaluation
    Muhammad Rajabinasab
    ,
    Anton Danholt Lautrup
    ,
    Arthur Zimek