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ORCID24th PAKDD 2020: Singapore
- Hady W. Lauw
, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan:
Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12084, Springer 2020, ISBN 978-3-030-47425-6
Recommender Systems
- Yang Li, Yadan Luo, Zi Huang:
Fashion Recommendation with Multi-relational Representation Learning. 3-15 - Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen:
Off-Policy Recommendation System Without Exploration. 16-27 - Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty:
GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation. 28-40 - Gianni Costa, Riccardo Ortale:
Collaborative Recommendation of Temporally-Discounted Tag-Based Expertise for Community Question Answering. 41-52 - Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz:
Relation Embedding for Personalised Translation-Based POI Recommendation. 53-64 - Dimitris Paraschakis, Bengt J. Nilsson:
FlowRec: Prototyping Session-Based Recommender Systems in Streaming Mode. 65-77 - Bonhun Koo, Hyunsik Jeon, U Kang:
Accurate News Recommendation Coalescing Personal and Global Temporal Preferences. 78-90 - Yu Wang:
A Hybrid Recommendation for Music Based on Reinforcement Learning. 91-103 - Xiaodong Wang, Zhen Liu, Nana Wang, Wentao Fan:
Relational Metric Learning with Dual Graph Attention Networks for Social Recommendation. 104-117 - Hao Wang, Huawei Shen, Xueqi Cheng:
Modeling Users' Multifaceted Interest Correlation for Social Recommendation. 118-129 - Hao Wang, Huawei Shen, Xueqi Cheng:
Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation. 130-141 - Zhifeng Xie, Wenling Zhang, Huiming Ding, Lizhuang Ma:
MsFcNET: Multi-scale Feature-Crossing Attention Network for Multi-field Sparse Data. 142-154 - Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng:
Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. 155-167 - Xiangmeng Wang, Qian Li, Wu Zhang, Guandong Xu, Shaowu Liu, Wenhao Zhu:
Joint Relational Dependency Learning for Sequential Recommendation. 168-180 - Xin Zhou, Zhu Sun, Guibing Guo, Yuan Liu:
Modelling Temporal Dynamics and Repeated Behaviors for Recommendation. 181-193
Classification
- Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin:
HIN: Hierarchical Inference Network for Document-Level Relation Extraction. 197-209 - Tong Wu, Yiqiang Chen, Yang Gu, Jiwei Wang, Siyu Zhang, Zhanghu Zhechen:
Multi-Layer Cross Loss Model for Zero-Shot Human Activity Recognition. 210-221 - He Zhang, François Petitjean, Wray L. Buntine:
Hierarchical Gradient Smoothing for Probability Estimation Trees. 222-234 - Sonam Damani, Kedhar Nath Narahari, Ankush Chatterjee, Manish Gupta, Puneet Agrawal:
Optimized Transformer Models for FAQ Answering. 235-248 - Rajarshi Bhattacharjee, Naresh Manwani:
Online Algorithms for Multiclass Classification Using Partial Labels. 249-260 - Jaron Mar, Jiamou Liu:
What's in a Gist? Towards an Unsupervised Gist Representation for Few-Shot Large Document Classification. 261-274 - Jiayu Li, Tianyun Zhang, Hao Tian, Shengmin Jin, Makan Fardad, Reza Zafarani:
SGCN: A Graph Sparsifier Based on Graph Convolutional Networks. 275-287
Clustering
- Jesse Laeuchli:
Fast Community Detection with Graph Sparsification. 291-304 - Xianchao Zhang, Xiaorui Tang, Linlin Zong, Xinyue Liu, Jie Mu:
Deep Multimodal Clustering with Cross Reconstruction. 305-317 - Dino Ienco, Roberto Interdonato:
Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder. 318-329 - Xiaosha Cai, Dong Huang, Chang-Dong Wang, Chee-Keong Kwoh:
Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data. 330-342 - Amira Soliman, Sarunas Girdzijauskas, Mohamed-Rafik Bouguelia, Sepideh Pashami, Slawomir Nowaczyk:
Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters. 343-355 - Felix Borutta, Daniyal Kazempour, Felix Mathy, Peer Kröger, Thomas Seidl:
Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform. 356-368 - Zhenyu Zhang, Bowen Yu, Tingwen Liu, Dong Wang:
Strong Baselines for Author Name Disambiguation with and Without Neural Networks. 369-381
Mining Social Networks
- Tao Zhou, Ee-Peng Lim, Roy Ka-Wei Lee, Feida Zhu, Jiuxin Cao:
Retrofitting Embeddings for Unsupervised User Identity Linkage. 385-397 - Yi Han, Shanika Karunasekera, Christopher Leckie:
Image Analysis Enhanced Event Detection from Geo-Tagged Tweet Streams. 398-410
Representation Learning and Embedding
- Ahmed Fathy, Kan Li:
TemporalGAT: Attention-Based Dynamic Graph Representation Learning. 413-423 - Chunyang Tan, Kaijia Yang, Xinyu Dai, Shujian Huang, Jiajun Chen:
MSGE: A Multi-step Gated Model for Knowledge Graph Completion. 424-435 - Shuangfei Fan, Bert Huang:
Attention-Based Graph Evolution. 436-447 - Hsi-Wen Chen, Hong-Han Shuai, Sheng-De Wang, De-Nian Yang:
Quality-Aware Streaming Network Embedding with Memory Refreshing. 448-461 - Shu-Chao Pang, AnAn Du, Zhenmei Yu, Mehmet A. Orgun:
Correlation Matters: Multi-scale Fine-Grained Contextual Information Extraction for Hepatic Tumor Segmentation. 462-474 - Wenbo Li, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki:
Context-Aware Latent Dirichlet Allocation for Topic Segmentation. 475-486 - Oana Balalau, Sagar Goyal:
SubRank: Subgraph Embeddings via a Subgraph Proximity Measure. 487-498 - Shayan Jawed, Josif Grabocka, Lars Schmidt-Thieme:
Self-supervised Learning for Semi-supervised Time Series Classification. 499-511 - Yubin Wang, Zhenyu Zhang, Tingwen Liu, Li Guo:
SLGAT: Soft Labels Guided Graph Attention Networks. 512-523 - Aman Roy, Vinayak Kumar, Debdoot Mukherjee, Tanmoy Chakraborty:
Learning Multigraph Node Embeddings Using Guided Lévy Flights. 524-537
Mining Behavioral Data
- Xuesong Wang, Lina Yao, Wei Liu, Can Li, Lei Bai, S. Travis Waller:
Mobility Irregularity Detection with Smart Transit Card Data. 541-552 - Hui Li, Hui Li, Sourav S. Bhowmick:
BRUNCH: Branching Structure Inference of Hybrid Multivariate Hawkes Processes with Application to Social Media. 553-566 - Xiang Li, Xinning Zhu, Xiaoying Zhu, Yang Ji, Xiaosheng Tang:
Student Academic Performance Prediction Using Deep Multi-source Behavior Sequential Network. 567-579 - Yuanzhe Zhang, Ling Luo, Yang Wang, Zhiyong Wang:
FCP Filter: A Dynamic Clustering-Prediction Framework for Customer Behavior. 580-591 - Alex Morales, Kanika Narang, Hari Sundaram, Chengxiang Zhai:
CrowdQM: Learning Aspect-Level User Reliability and Comment Trustworthiness in Discussion Forums. 592-605
Deep Learning
- Tianyu Cui, Gaopeng Gou, Gang Xiong:
6GCVAE: Gated Convolutional Variational Autoencoder for IPv6 Target Generation. 609-622 - Hieu K. Cao, Han K. Cao, Binh T. Nguyen:
DELAFO: An Efficient Portfolio Optimization Using Deep Neural Networks. 623-635 - Wenbin Wu, Tong Liu, Jiahao Yang:
CACRNN: A Context-Aware Attention-Based Convolutional Recurrent Neural Network for Fine-Grained Taxi Demand Prediction. 636-648 - Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yang Xiao:
Prototype Similarity Learning for Activity Recognition. 649-661 - Xuewen Shi, Heyan Huang, Ping Jian, Yi-Kun Tang:
Case-Sensitive Neural Machine Translation. 662-674 - Jiayin Chen, Xiaolong Gong, Xi Chen, Zhiyi Ma:
Attribute-Driven Capsule Network for Entity Relation Prediction. 675-686 - Achraf Bennis, Sandrine Mouysset, Mathieu Serrurier:
Estimation of Conditional Mixture Weibull Distribution with Right Censored Data Using Neural Network for Time-to-Event Analysis. 687-698 - Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung:
Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection. 699-711 - Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung:
Code Action Network for Binary Function Scope Identification. 712-725 - Tao Zhou, Yuxiang Zhang, Haoxiang Zhu:
Multi-level Memory Network with CRFs for Keyphrase Extraction. 726-738 - Xianxian Jin, Xinzhi Wang, Xiangfeng Luo, Subin Huang, Shengwei Gu:
Inter-sentence and Implicit Causality Extraction from Chinese Corpus. 739-751 - Guanghui Zhu, Ruancheng Zhu:
Accelerating Hyperparameter Optimization of Deep Neural Network via Progressive Multi-Fidelity Evaluation. 752-763 - Gao-Jie Han, Xiaofang Zhang, Hao Wang, Chen-Guang Mao:
Curiosity-Driven Variational Autoencoder for Deep Q Network. 764-775
Feature Extraction and Selection
- Zohair Raza Hassan, Mudassir Shabbir, Imdadullah Khan, Waseem Abbas:
Estimating Descriptors for Large Graphs. 779-791 - Kushani Perera, Jeffrey Chan, Shanika Karunasekera:
A Framework for Feature Selection to Exploit Feature Group Structures. 792-804 - Kushani Perera, Jeffrey Chan, Shanika Karunasekera:
Group Based Unsupervised Feature Selection. 805-817 - Jianyu Zhang, Jianye Hao, Françoise Fogelman-Soulié:
Cross-data Automatic Feature Engineering via Meta-learning and Reinforcement Learning. 818-829 - Puloma Roy, Sadia Sharmin, Amin Ahsan Ali, Mohammad Shoyaib:
Discretization and Feature Selection Based on Bias Corrected Mutual Information Considering High-Order Dependencies. 830-842
Human, Domain, Organizational and Social Factors in Data Mining
- Bo Chen, Jing Zhang, Xiaobin Tang, Hong Chen, Cuiping Li:
JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment. 845-856 - Yiwen Jiang, Wei Tang, Neng Gao, Ji Xiang, Chenyang Tu, Min Li:
Multiple Demographic Attributes Prediction in Mobile and Sensor Devices. 857-868 - Dongmin Kim, Sumin Han, Heesuk Son, Dongman Lee:
Human Activity Recognition Using Semi-supervised Multi-modal DEC for Instagram Data. 869-880
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