IEEE ICDM 2022 Best Paper Awards:
- Best Paper Award
Unsupervised Deep Subgraph Anomaly Detection
by Zheng Zhang and Liang Zhao (Emory University, United States) - Best Paper Award Runner-Up
Extremely Fast Hoeffding Adaptive Tree
by Chaitanya Manapragada, Mahsa Salehi, and Geoffrey Webb (University of Melbourne; Monash University, Australia) - Best Student Paper Award
Contrastive Code-Comment Pre-training
by Xiaohuan Pei, Daochang Liu, Qian Luo, and Chang Xu (University of Sydney, Australia; Alibaba Group, China) - Best Student Paper Runner-Up
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets
by Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu (Tsinghua University, China; Microsoft Research Asia, China; Macquarie University, Australia)
- Best Paper Award
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity
by Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, and Praveen Ravirathinam - Best Paper Award Runner-Up
RIO:Task-agnostic dataset representation optimized for automatic algorithm selection
by Noy Cohen-Shapira and Lior Rok - Best Student Paper Award
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance
by Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, and Michael Sheng - Best Student Paper Runner-Up
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks
by Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, and Jiawei Han
- Best Paper Award
Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks,
by Carl Yang, Jieyu Zhang, and Jiawei Han - Best Student Paper Award
OWGL: Open-World Graph Learning,
by Man Wu, Shirui Pan, and Xingquan Zhu - Best Student Paper Runner-Up
- Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning,
- by Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, and Yangyong Zhu
-
Best Paper Award
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution,
by Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, and Sai Manoj Pudukotai Dinakarrao -
Best Student Paper Award
Distribution of Node Embeddings as Multiresolution Features for Graphs,
by Mark Heimann, Tara Safavi, and Danai Koutra
- Best Paper Award
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms
by Panagiotis Mandros, Mario Boley, and Jilles Vreeken - Best Student Paper Award
Fast Single-Class Classification and the Principle of Logit Separation
by Gil Keren, Sivan Sabato, and Bjorn Schuller - Best Student Paper Award Runner-Up
ProSecCo: Progressive Sequence Mining with Convergence Guarantees
by Sacha Servan-Schreiber, Matteo Riondato, and Emanuel Zgraggen
- Best Paper Award
TensorCast: Forecasting with Context using Coupled Tensors
by Miguel Ramos de Araujo, Pedro Manuel Pinto Ribeiro, and Christos Faloutsos - Best Student Paper Award
Time Series Chains: A New Primitive for Time Series Data Mining
by Yan Zhu, Makoto Imamura, Daniel Nikovski, and Eamonn Keogh
- Best Paper Award
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
by Viktor Losing, Barbara Hammer, and Heiko Wersing - Best Paper Award Runner-Up
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study
by Wei Zhang, Suyog Gupta, and Fei Wang - Best Student Paper Award
Boosted L-EnsNMF: Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization
by Sangho Suh, Jaegul Choo, Joonseok Lee, and Chandan Reddy
- Best Paper Award
Diamond Sampling for Approximate Maximum All-pairs Dot-product (MAD) Search
by Grey Ballard, Seshadhri Comandur, Tamara Kolda, and Ali Pinar - Best Student Paper Award
From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics
by Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, and Shiqiang Yang
- Best Paper Award
Ternary Matrix Factorization,
by Sam Maurus and Claudia Plant - Best Student Paper Award
Factorized Similarity Learning in Networks,
by Shiyu Chang, Guo-Jun Qi, Charu Aggarwal, Jiayu Zhou, Meng Wang, and Thomas Huang
- Best Paper Award
Nicholas Jing Yuan, Yingzi Wang, Fuzheng Zhang, Xing Xie, and Guang-Zhong Sun,
Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach - Best Paper Award Runner-Up
Ahmed Farahat, Ahmed Elgohary, Ali Ghodsi, and Mohamed Kamel,
Distributed Column Subset Selection on MapReduce - Best Student Paper Award
Tianyi Zhou, Wei Bian, and Dacheng Tao,
Divide-and-Conquer Anchoring for Near-Separable Nonnegative Matrix
- Best Paper Award
Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems
Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, and Inderjit Dhillon - Best Paper Runner-Up Award
Active Evaluation of Classifiers on Large Datasets
by Namit Katariya, Arun Iyer, and Sunita Sarawagi - Best Student Paper Award
Sparse Group Selection on Fused Lasso Components for Identifying Group-specific DNA Copy Number Variations
by Ze Tian, Huanan Zhang, and Rui Kuang
- Best Research Paper Award
Personalized Travel Package Recommendation
by Qi Liu, Yong Ge, Zhongmou Li, EnHong Chen, and Hui Xiong - Best Student Paper Award
Structured Feature Selection and Task Relationship Inference for Multi-Task Learning
by Hongliang Fei and Jun Huan
- Best Research Paper Award:
Timothy de Vries, Sanjay Chawla, and Michael Houle,
Finding Local Anomalies in Very High Dimensional Space - Runner-up for Best Research Paper Award:
Dijun Luo, Chris Ding, and Heng huang,
Towards Structural Sparsity: An Explicit l2/l0 Approach - Best Application Paper Award:
Jaewon Yang and Jure Leskovec,
Modeling Information Diffusion in Social Media - Honorable Mention:
Chang-Dong Wang, Jian-Huang Lai, and Jun-Yong Zhu,
A Conscience On-line Learning Approach for Kernel-Based Clustering - Honorable Mention:
Fei Wang, Ping Li, and Christian Konig,
Learning a Bi-Stochastic Data Similarity Matrix
- Best Paper Awards:
- Best Theoretical/Algorithms Paper Award: Deepak Agarwal, Bee-Chung Chen, and Pradheep Elango, Explore/Exploit Schemes for Web Content Optimization
- Best Application Paper Award: Nikos Pelekis, Ioannis Kopanakis, Evangelos Kotsifakos, Elias Frentzos, and Yannis Theodoridis, Clustering Trajectories of Moving Objects in an Uncertain World
- Best Student Paper Awards: Michael Hay, Chao Li, Gerome Miklau, and David Jensen, Accurate Estimation of the Degree Distribution of Private Networks
- Best Paper Runner-Up Awards:
- Theoretical/Algorithms Category: Jennifer Neville, Brian Gallagher, and Tina Eliassi-Rad, Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
- Applications Category: U Kang, Charalampos Tsourakakis, and Christos Faloutsos, PEGASUS: A Peta-Scale Graph Mining System - Implementation and Observations
- Student Paper: Zeyuan Allen Zhu, Weizhu Chen, Chenguang Zhu, Gang Wang, Haixun Wang, and Zheng Chen, Inverse Time Dependency in Convex Regularized Learning
- Best Theoretical/Algorithms Paper Award: “Scalable Tensor Decomposition for Multi-Aspect Data Mining”, by Tamara Kolda and Jimeng Sun
- Best Application Paper Award: “Interpreting PET Scans by Structured Patient Data: A Data Mining Case Study in Dementia Research”, by Andreas Hapfelmeier, Jana Schmidt, Marianne Mueller, Robert Perneczky, Alexander Drzezga, Alexander Kurz, and Stefan Kramer
- Best Student Paper Awards: “A Randomized Approach for Approximating the Number of Frequent Sets”, by Mario Boley and Henrik Grosskreutz
- Best Paper Runner-Up Awards:
- Theoretical/Algorithms Category: “Isolation Forest”, by Fei Tony Liu, Kai Ming Ting, and Zhi-Hua Zhou
- Applications Category: “Web Mining for Understanding Stories through Graph Visualization”, by Ilija Subasic and Bettina Berendt
- Theoretical/Algorithms Category: Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized Datasets, by Dragomir Yankov, Eamonn Keogh, and Umaa Rebbapragada
- Applications Category: Rule Cubes for Causal Investigations, by Axel Blumenstock, Franz Schweiggert, and Markus Mueller
- Best Paper Runner-Up Awards:
- Theoretical/Algorithms Category: GMDA: General Averaged Divergence Analysis, by Dacheng Tao, Xuelong Li, Xindong Wu, and Stephen Maybank
- Applications Category: Improving Text Classification by Using Encyclopedia Knowledge, by Pu Wang, Jian Hu, Hua-Jun Zeng, Lijun Chen, and Zheng Chen
- Best Research Paper:
Fast Random Walk with Restart and Its Applications
by Hanghang Tong, Christos Faloutsos, and Jia-Yu Pan - Best Application Paper:
Forecasting Skewed Biased Stochastic Ozone Days:
Analyses and Solutions
by Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, and Xiangshang Li
by Xiaonan Ji, James Bailey, and Guozhu Dong
by David Gondek and Thomas Hofmann
by Hillol Kargupta, Souptik Datta, Qi Wang, and Krishnamoorthy Sivakumar
- Best Paper Award:
Convex Hull Ensemble Machine
by Yongdai Kim - Best Application Paper Award:
Efficient Discovery of Common Substructures in Macromolecules
by Srinivasan Parthasarathy and Matt Coatney
- Best Paper Award:
A Tight Upper Bound on the Number of Candidate Patterns
by Floris Geerts, Bart Goethals, and Jan Van den Bussche - Best Application Paper Award:
Discovering Similar Patterns for Characterizing Time Series in a Medical
Domain
by Fernando Alonso, Juan P. Caraca-Valente, Loic Martinez, and Cesar Montes