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ORCID20th ICDM 2020: Sorrento, Italy
- Claudia Plant, Haixun Wang, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu:
20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020. IEEE 2020, ISBN 978-1-7281-8316-9
Regular Papers
- Sharareh Alipour
:
Approximation algorithms for probabilistic $k$-center clustering. 1-11 - Anar Amgalan, Lilianne R. Mujica-Parodi, Steven S. Skiena:
Fast Spatial Autocorrelation. 12-21 - Sungtae An, Shenda Hong, Jimeng Sun:
ViVA: Semi-supervised Visualization via Variational Autoencoders. 22-31 - Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu:
Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection. 32-41 - Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang:
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. 42-51 - Shengjia Chen, Zhixin Li, Feicheng Huang, Canlong Zhang, Huifang Ma:
Improving Object Detection with Relation Mining Network. 52-61 - Zhijie Chen, Hongtai Cao, Kevin Chen-Chuan Chang:
GraphEBM: Energy-based Graph Construction for Semi-Supervised Learning. 62-71 - Jianfeng Chi, Guanxiong Zeng, Qiwei Zhong, Ting Liang, Jinghua Feng, Xiang Ao, Jiayu Tang:
Learning to Undersampling for Class Imbalanced Credit Risk Forecasting. 72-81 - Joscha Cüppers, Jilles Vreeken:
Just Wait For It... Mining Sequential Patterns with Reliable Prediction Delays. 82-91 - Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer:
NAG: Neural feature aggregation framework for credit card fraud detection. 92-101 - Amit Dhurandhar, Karthik S. Gurumoorthy:
Classifier Invariant Approach to Learn from Positive-Unlabeled Data. 102-111 - Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He:
Modeling Personalized Out-of-Town Distances in Location Recommendation. 112-121 - Honghui Du, Leandro L. Minku, Huiyu Zhou:
MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments. 122-131 - Yujie Fan, Yanfang Ye, Qian Peng, Jianfei Zhang, Yiming Zhang, Xusheng Xiao, Chuan Shi, Qi Xiong, Fudong Shao, Liang Zhao:
Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. 132-141 - Shikai Fang, Shandian Zhe, Kuang-chih Lee, Kai Zhang, Jennifer Neville:
Online Bayesian Sparse Learning with Spike and Slab Priors. 142-151 - Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han:
Mining Text Outliers in Document Directories. 152-161 - Wenbo Guo, Lun Wang, Yan Xu, Xinyu Xing, Min Du, Dawn Song:
Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks. 162-171 - Nicholas Hoernle, Gregory Kehne, Ariel D. Procaccia, Kobi Gal:
The Phantom Steering Effect in Q&A Websites. 172-181 - Qian Hu, Huzefa Rangwala:
Metric-Free Individual Fairness with Cooperative Contextual Bandits. 182-191 - Dongmin Hyun, Junsu Cho, Chanyoung Park, Hwanjo Yu:
Interest Sustainability-Aware Recommender System. 192-201 - Seongwon Jang, Hoyeop Lee, Hyunsouk Cho, Sehee Chung:
CITIES: Contextual Inference of Tail-item Embeddings for Sequential Recommendation. 202-211 - Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin:
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search. 212-221 - Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu:
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. 222-231 - Bo Jin, Ke Cheng, Yue Qu, Liang Zhang, Keli Xiao, Xinjiang Lu, Xiaopeng Wei:
Fast Sparse Connectivity Network Adaption via Meta-Learning. 232-241 - Shunsuke Kanda, Yasuo Tabei:
Dynamic Similarity Search on Integer Sketches. 242-251 - Minyoung Kim, Vladimir Pavlovic:
Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models. 252-261 - Aritra Konar, Nicholas D. Sidiropoulos:
Soft Graph Matching: Submodular Relaxation and Lovász Extension. 262-271 - Yunbum Kook, Jihoon Ko, Kijung Shin:
Evolution of Real-world Hypergraphs: Patterns and Models without Oracles. 272-281 - Thai Le, Suhang Wang, Dongwon Lee:
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. 282-291 - Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang:
Semantics-assisted Wasserstein Learning for Topic and Word Embeddings. 292-301 - Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang:
Graph Pooling with Representativeness. 302-311 - Peiyan Li, Honglian Wang, Jianyun Lu, Qinli Yang, Junming Shao:
Community Detection with Local Metric Learning. 312-321 - Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu:
Dynamic Graph Collaborative Filtering. 322-331 - Wenbo Li, Einoshin Suzuki:
Hybrid Context-Aware Word Sense Disambiguation in Topic Modeling based Document Representation. 332-341 - Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi:
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. 342-351 - Yijun Lin, Yao-Yi Chiang, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite:
Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction. 352-361 - Chong Liu, Defu Lian, Min Nie, Hu Xia:
Online Optimized Product Quantization. 362-371 - Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, Jing Gao:
LP-Explain: Local Pictorial Explanation for Outliers. 372-381 - Ruoqi Liu, Changchang Yin, Ping Zhang:
Estimating Individual Treatment Effects with Time-Varying Confounders. 382-391 - Hanzi Mao, Xi Liu, Nick Duffield, Hao Yuan, Shuiwang Ji, Binayak P. Mohanty:
Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis. 392-401 - Lutz Oettershagen, Petra Mutzel:
Efficient Top-k Temporal Closeness Calculation in Temporal Networks. 402-411 - Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang:
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. 412-421 - Yanhui Peng, Jing Zhang:
LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction. 422-431 - Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou:
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. 432-441 - Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad:
Force2Vec: Parallel force-directed graph embedding. 442-451 - Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang:
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. 452-461 - Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla:
Prescriptive Learning for Air-Cargo Revenue Management. 462-471 - Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram:
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. 472-481 - Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting. 482-491 - Zeren Shui, George Karypis:
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties. 492-500 - Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Yang Du, Sen Su, Philip S. Yu:
Perfect: A Hyperbolic Embedding for Joint User and Community Alignment. 501-510 - Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He:
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. 511-520 - Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou:
Adversarial Precision Sensing with Healthcare Applications. 521-530 - Conor Tillinghast, Shikai Fang, Kai Zhang, Shandian Zhe:
Probabilistic Neural-Kernel Tensor Decomposition. 531-540 - Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang:
Structure-based Knowledge Tracing: An Influence Propagation View. 541-550 - Andrea Tonon, Fabio Vandin:
GRosSo: Mining Statistically Robust Patterns from a Sequence of Datasets. 551-560 - Sunny Verma, Jiwei Wang, Zhefeng Ge, Rujia Shen, Fan Jin, Yang Wang, Fang Chen, Wei Liu:
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis. 561-570 - Chun Wang, Bo Han, Shirui Pan, Jing Jiang, Gang Niu, Guodong Long:
Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure. 571-580 - Jialin Wang, Shen Liang, Ye Wang, Yanchun Zhang, Dake He, Jiangang Ma, Chunyang Ruan, Yingpei Wu, Xiaoyuan Hong, Jiaqiu Shen:
A Weighted Overlook Graph Representation of EEG Data for Absence Epilepsy Detection. 581-590 - Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao:
Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework. 591-600 - Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Chuan Zhou, Qianli Xing:
AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks. 601-610 - Yingkui Wang, Di Jin, Carl Yang, Jianwu Dang:
Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities. 611-620 - Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi:
Provably Robust Node Classification via Low-Pass Message Passing. 621-630 - Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy:
Open-World Class Discovery with Kernel Networks. 631-640 - Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Learn-Prune-Share for Lifelong Learning. 641-650 - Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Deep Incomplete Multi-View Multiple Clusterings. 651-660 - Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang:
Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. 661-670 - Di Wu, Long Jin, Xin Luo:
PMLF: Prediction-Sampling-based Multilayer-Structured Latent Factor Analysis. 671-680 - Man Wu, Shirui Pan, Xingquan Zhu:
OpenWGL: Open-World Graph Learning. 681-690 - Ming-Kun Xie, Sheng-Jun Huang:
Semi-Supervised Partial Multi-Label Learning. 691-700 - Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin:
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. 701-710 - Jie Xu, Zhenxing Xu, Bin Yu, Fei Wang:
Order-Preserving Metric Learning for Mining Multivariate Time Series. 711-720 - Carl Yang, Jieyu Zhang, Jiawei Han:
Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. 721-730 - Menglin Yang, Ziqiao Meng, Irwin King:
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. 731-740 - Zhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying:
Stochastic Hard Thresholding Algorithms for AUC Maximization. 741-750 - Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos:
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. 751-760 - Tingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Partial Multi-label Learning using Label Compression. 761-770 - Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu:
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. 771-780 - Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li:
DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis. 781-790 - Mengmei Zhang, Linmei Hu, Chuan Shi, Xiao Wang:
Adversarial Label-Flipping Attack and Defense for Graph Neural Networks. 791-800 - Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo:
TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. 801-810 - Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Lin Wu, Meng Wang:
MDPL-net: Multi-layer Dictionary Learning Network with Added Skip Dense Connections. 811-820 - Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan:
A Primal-Dual Subgradient Approach for Fair Meta Learning. 821-830 - Caleb Belth, Alican Büyükçakir, Danai Koutra:
A Hidden Challenge of Link Prediction: Which Pairs to Check? 831-840 - Hang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, Defu Cao, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang:
Multivariate Time-series Anomaly Detection via Graph Attention Network. 841-850 - Rongjian Zhao, Buyue Qian, Xianli Zhang, Yang Li, Rong Wei, Yang Liu, Yinggang Pan:
Rethinking Dice Loss for Medical Image Segmentation. 851-860 - Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang:
Interactive Attention Networks for Semantic Text Matching. 861-870 - Xiaosa Zhao, Kunpeng Liu, Wei Fan, Lu Jiang, Xiaowei Zhao, Minghao Yin, Yanjie Fu:
Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent. 871-880 - Baojian Zhou, Yiming Ying, Steven Skiena:
Online AUC Optimization for Sparse High-Dimensional Datasets. 881-890 - Yong-Nan Zhu, Xiaotian Luo, Yufeng Li, Bin Bu, Kaibo Zhou, Wenbin Zhang, Mingfan Lu:
Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection. 891-899
Shorts Papers
- Sara Alaee, Kaveh Kamgar, Eamonn J. Keogh:
Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW. 900-905 - Rui An, Xingtian Shi, Baohan Xu:
Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time Series. 906-911 - Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein:
Cold Item Recommendations via Hierarchical Item2vec. 912-917 - Yue Bai, Lichen Wang, Yunyu Liu, Yu Yin, Yun Fu:
Dual-Side Auto-Encoder for High-Dimensional Time Series Segmentation. 918-923 - Giulia Bernardini, Alessio Conte, Garance Gourdel, Roberto Grossi, Grigorios Loukides, Nadia Pisanti, Solon P. Pissis, Giulia Punzi, Leen Stougie, Michelle Sweering:
Hide and Mine in Strings: Hardness and Algorithms. 924-929 - Yuchen Bian, Jun Huan, Dejing Dou, Xiang Zhang:
Rethinking Local Community Detection: Query Nodes Replacement. 930-935 - Manuele Bicego:
Dissimilarity Random Forest Clustering. 936-941 - Mirko Bunse, Dorina Weichert, Alexander Kister, Katharina Morik:
Optimal Probabilistic Classification in Active Class Selection. 942-947 - Nestor Cabello, Elham Naghizade, Jianzhong Qi, Lars Kulik:
Fast and Accurate Time Series Classification Through Supervised Interval Search. 948-953 - Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie:
TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting. 954-959 - Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov:
LFGCN: Levitating over Graphs with Levy Flights. 960-965 - Zhe Chen, Aixin Sun:
Anomaly Detection on Dynamic Bipartite Graph with Burstiness. 966-971 - Yunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, Hongxia Yang:
Inductive Granger Causal Modeling for Multivariate Time Series. 972-977 - Sebastian Dalleiger, Jilles Vreeken:
The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery. 978-983 - Dieter De Paepe, Sofie Van Hoecke:
Mining Recurring Patterns in Real-Valued Time Series using the Radius Profile. 984-989 - Benjamin Denham, Russel Pears, M. Asif Naeem:
Null-Labelling: A Generic Approach for Learning in the Presence of Class Noise. 990-995 - Katharina Dost, Katerina Taskova, Patricia Riddle, Jörg Wicker:
Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias. 996-1001 - Dongsheng Duan, Lingling Tong, Yangxi Li, Jie Lu, Lei Shi, Cheng Zhang:
AANE: Anomaly Aware Network Embedding For Anomalous Link Detection. 1002-1007 - Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu:
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. 1008-1013 - Xinyu Fan, Hui Xu, Jiahong Wu, Chao Tong, Kai Wang, Jianfei Song, Ze Huang:
Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning. 1014-1021 - Nikolaos M. Freris, Michalis Vlachos, Ahmad Ajalloeian:
An Interpretable Data Embedding under Uncertain Distance Information. 1022-1027 - Shintaro Fukushima, Kenji Yamanishi:
Detecting Hierarchical Changes in Latent Variable Models. 1028-1033 - Yangli-ao Geng, Qingyong Li, Tianyang Lin, Jing Zhang, Liangtao Xu, Wen Yao, Dong Zheng, Weitao Lyu, Heng Huang:
A Heterogeneous Spatiotemporal Network for Lightning Prediction. 1034-1039 - Riccardo Guidotti, Anna Monreale:
Data-Agnostic Local Neighborhood Generation. 1040-1045 - Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang:
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. 1046-1051