April 14, 2019 (Sunday)

8:00 - 17:00

Registration @Foyer

ROOM

7204

7304

7404-7405

7504-7505

8:30 - 10:00

Workshop - PAISI

Workshop - BDM

Tutorial 2

Tutorial 4

14th Pacific Asia Workshop on Intelligence and Security Informatics

  8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining

  IoT Big Data Stream Mining

  Statistical Machine Learning of Large, Sparse, and Multi-source Data

10:00 - 10:30

Coffee Break

10:30 - 12:00

Workshop - PAISI

Workshop - BDM

Tutorial 2

Tutorial 4

  14th Pacific Asia Workshop on Intelligence and Security Informatics

  8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining

  IoT Big Data Stream Mining

  Statistical Machine Learning of Large, Sparse, and Multi-source Data

12:00 - 13:30

Lunch @ Level 1, Le Buffet, the Parisian Macao

13:30 - 15:30

Workshop - LDRC

Workshop - WeL

Tutorial 5

Tutorial 6

  Learning Data Representation for Clustering

 Weakly Supervised Learning: Progress and Future

Building and Evaluating a Production-ready Recommendation System

Blockchain Data Analytics

15:30 - 16:00

Coffee Break

16:00 - 18:00

Workshop - DLKT

Tutorial 5

Tutorial 6

  1st Pacific-Asia Workshop on Deep Learning for Knowledge Transfer

  Building and Evaluating a Production-ready Recommendation System

  Blockchain Data Analytics

18:00 - 20:00

Reception

(Belon, Level 31 @Banyan Tree Macao Hotel, Galaxy Macau)

Pick-up Information

April 15, 2019 (Monday)

8:00 - 17:00

Registration @Foyer

8:30 - 9:00

Conference Opening (7201A-7303)

9:00 - 10:00

Keynote Speech

Towards Relational AI -- the good, the bad, and the ugly of learning over networks (by Dr. Jennifer L. Neville)

[Chair: Zhiguo Gong] (7201A-7303)

10:00 - 10:20

Coffee Break

ROOM

7204

7304

7404-7405

7504-7505

10:20 - 12:20

Session 1A  

Session 1B 

Session 1C 

Session 1D  

Classification and Supervised Learning

Text and Opinion Mining (I)

Deep Learning Models and Applications (I)

Spatio-Temporal and Stream Data Mining

[Chair: Joao Gama]

[Chair:  Cheng-Wei Wu]

[Chair: Tianrui Li]

[Chair: Leong Hou U]

12:20 - 13:30

Lunch @ Level 1, Le Buffet, the Parisian Macao

13:30 - 15:30

Session 2A 

Session 2B  

Tutorial 1

Tutorial 3

Healthcare, Bioinformatics and Related Topics

Clustering and Anomaly Detection

Causally Regularized Machine Learning

Knowledge Graph Embedding and Applications

[Chair:  Ke-Jia Chen]

[Chair: Lazhar Labiod]

15:30 - 15:50

Coffee Break

15:50 - 17:40

Session 3A 

Session 3B 

Tutorial 1

Tutorial 3

Factor and Tensor Analysis

Sequential Pattern Mining

Causally Regularized Machine Learning

Knowledge Graph Embedding and Applications

[Chair: Khoa Nguyen]

[Chair: Riccardo Guidotti] 

April 16, 2019 (Tuesday)

8:00 - 17:00

Registration @Foyer

9:00 - 10:00

Keynote Speech

Talent Analytics: Prospects and Opportunities (by Prof. Hui Xiong)

[Chair: Ee-Peng Lim] (7201A-7303)

10:00 - 10:20

Coffee Break

ROOM

7204

7304

7404-7405

7504-7505

10:20 - 12:20

Session 4A 

Session 4B 

Session 4C 

Session 4D 

Representation Learning and Embedding (I)

Weakly Supervised Learning

Recommender System

Social Network and Graph Mining

[Chair: Senzhang Wang]

[Chair: Kuan-Ting Lai]

[Chair: Murat Kantarcioglu]

[Chair: Philippe Fournier-Viger]

12:20 - 13:30

Lunch @ Level 1, Le Buffet, the Parisian Macao

13:30 - 18:00

Excursion (Gathering Point: Foyer Reception Counter)

18:00 - 21:00

Banquet

(7401-7503, Parisian Grand Ballroom, The Parisian Macao)

April 17, 2019 (Wednesday)

8:00 - 17:00

Registration @Foyer

9:00 - 10:00

Keynote Speech

Empowering Subjects, Users and Controllers when Anonymizing Big Data for Knowledge Discovery and Data Mining (by Prof. Josep Domingo-Ferrer)

[Chair: Takashi Washio] (7201A-7303)

10:00 - 10:20

Coffee Break

ROOM

7204

7304

7404-7405

7504-7505

10:20 - 12:20

Session 5A 

Session 5B 

Session 5C 

Session 5D 

Data Pre-Processing and Feature Selection

Text and Opinion Mining (II)

Mining Unstructured and Semi-structured Data

Behavioral Data Mining

[Chair: Zhidong Li]

[Chair: Sheng-Jun Huang]

[Chair: Hady Wirawan Lauw]

[Chair: Cuneyt Gurcan Akcore]

12:20 - 13:30

Lunch @ Level 1, Le Buffet, the Parisian Macao

13:30 - 14:10

PAKDD Most Influential Paper Award Presentation

On Extreme Support Vector Machine (by Prof. Qing He)

[Chair: Min-Ling Zhang] (7201A-7303)

14:10 - 15:10

PAKDD 2019 Challenge Presentation and Award

[Chair: Wei-Wei Tu] (7201A-7303)

15:10 - 15:30

Coffee Break

15:30 - 17:30

Session 6A 

Session 6B 

Session 6C 

Session 6D 

Deep Learning Models and Applications (II)

Visual Data Mining

Representation Learning and Embedding (II)

Knoweldge Graph and Interpretable Data Mining

[Chair: Min-Ling Zhang]

[Chair: Yu-Feng Li]

[Chair: Xiangliang Zhang]

[Chair: Katerina Hlavackova-Schindle]

17:30 - 17:40

Conference Closing

Session 1A - Classification and Supervised Learning 

Chair: Joao Gama

Multitask Learning for Sparse Failure Prediction

Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, Raymond K. Wong

Cost Sensitive Learning in the Presence of Symmetric Label Noise

Sandhya Tripathi, N. Hemachandra

Semantic Explanations in Ensemble Learning

Md Zahidul Islam, Jixue Liu, Lin Liu, Jiuyong Li, Wei Kang

Latent Gaussian-Multinomial Generative Model for Annotated Data

Shuoran Jiang, Yarui Chen, Zhifei Qin, Jucheng Yang, Tingting Zhao, Chuanlei Zhang

Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers

Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi

On Calibration of Nested Dichotomies

Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes

Ensembles of Nested Dichotomies with Multiple Subset Evaluation

Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes

Session 1B - Text and Opinion Mining (I) 

Chair: Cheng-Wei Wu

Topic-Level Bursty Study for Bursty Topic Detection in Microblogs

Yakun Wang, Zhongbao Zhang, Sen Su, Muhammad Azam  Zia

Adaptively Transfer Category-classifier for Handwritten Chinese Character Recognition

Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He

Syntax-aware Representation for Aspect Term Extraction

Jingyuan Zhang, Guangluan Xu, Xinyi Wang, Xian Sun, Tinglei Huang

Short Text Similarity Measurement Based on Coupled Semantic Relation and Strong Classification Features

Huifang Ma, Wen Liu, Zhixin Li, Xianghong Lin

A Novel Hybrid Sequential Model for Review-based Rating Prediction

Yuanquan Lu, Wei Zhang, Pan Lu, Jianyong Wang

Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias

Yugang Ji, Chuan Shi, Fuzhen Zhuang, Philip S. Yu

Dependency-Aware Attention Model for Emotion Analysis for Online News

Xue Zhao, Ying Zhang, Xiaojie Yuan

Session 1C - Deep Learning Models and Applications (I) 

Chair: Tianrui Li

Semi-interactive Attention Network for Answer Understanding in Reverse-QA

Qing Yin, Guan Luo, Xiaodong Zhu, Qinghua Hu, Ou Wu

Neural Network based Popularity Prediction by Linking Online Content with Knowledge Bases

Wayne Xin Zhao, Hongjian Dou, Yuanpei Zhao, Daxiang Dong, Ji-Rong Wen

Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks

Lei Bai, Lina Yao, Salil S. Kanhere, Zheng Yang, Jing Chu, Xianzhi Wang

Accurate Identification of Electrical Equipment from Power Load Profiles

Ziyi Wang, Chun Li, Lin Shang

Similarity-aware Deep Attentive Model for Clickbait Detection

Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang

Topic Attentional Neural Network for Abstractive Document Summarization

Hao Liu, Hai-Tao Zheng, Wei Wang

Parameter Transfer Unit for Deep Neural Networks

Yinghua Zhang, Yu Zhang, Qiang Yang

Session 1D - Spatio-Temporal and Stream Data Mining 

Chair: Leong Hou U

FGST: Fine-Grained Spatial-Temporal based Regression for Stationless Bike Traffic Prediction

Hao Chen, Senzhang Wang, Zengde Deng, Xiaoming Zhang, Zhoujun Li

Customer Segmentation Based on Transactional Data Using Stream Clustering

Matthias Carnein, Heike Trautmann

Spatio-Temporal Event Detection from Multiple Data Sources

Aman Ahuja, Ashish Baghudana, Wei Lu, Edward A. Fox, Chandan K. Reddy

Discovering All-chain Set in Streaming Time Series

Shaopeng Wang, Ye Yuan, Hua Li

Hawkes Process with Stochastic Triggering Kernel

Feng Zhou, Yixuan Zhang, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen

Concept Drift Based Multi-Dimensional Data Streams Sampling Method

Ling Lin, Xiaolong Qi, Zhirui Zhu, Yang Gao

Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction

Long H. Nguyen, Jiazhen Zhu, Zhe Lin, Hanxiang Du, Zhou Yang, Wenxuan Guo, Fang Jin

Session 2A - Healthcare, Bioinformatics and Related Topics 

Chair: Ke-Jia Chen

Time-dependent Survival Neural Network for Remaining Useful Life Prediction

Jianfei Zhang, Shengrui Wang, Lifei Chen, Gongde Guo, Rongbo Chen, Alain Vanasse

ACNet: Aggregated Channels Network for Automated Mitosis Detection

Kaili Cheng, Jiarui Sun, Xuesong Chen, Yanbo Ma, Mengjie Bai, Yong Zhao

Attention-based Hierarchical Recurrent Neural Network for Phenotype Classification

Nan  Xu, Yanyan Shen, Yanmin Zhu

Identifying Mobility of Drug Addicts with Multilevel Spatial-Temporal Convolutional Neural Network

Canghong Jin, Haoqiang Liang, Dongkai Chen, Zhiwei Lin, Minghui Wu

MC-eLDA: Towards Pathogenesis Analysis in Traditional Chinese Medicine by Multi-Content Embedding LDA

Ying Zhang, Wendi Ji, Haofen Wang, Xiaoling Wang, Jin Chen

Enhancing the Healthcare Retrieval with a Self-adaptive Saturated Density Function

Yang Song, Wenxin Hu, Liang He, Liang Dou

CytoFA: Automated Gating of Mass Cytometry Data via Robust Skew Factor Analzyers

Sharon X. Lee

Session 2B - Clustering and Anomaly Detection 

Chair: Lazhar Labiod

Consensus Graph Learning for Incomplete Multi-view Clustering

Wei Zhou, Hao Wang, Yan Yang

Beyond Outliers and on to Micro-clusters: Vision-guided Anomaly Detection

Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng

Clustering of Mixed-type Data Considering Concept Hierarchies

Sahar Behzadi, Nikola S. Müller, Claudia Plant, Christian Bohm

DMNAED: A Novel Framework Based on Dynamic Memory Network for Abnormal Event Detection in Enterprise Networks

Xueshuang Ren, Liming Wang

NeoLOD: A Novel Generalized Coupled Local Outlier Detection Model Embedded Non-IID Similarity Metric

Fan Meng, Yang Gao, Jing Huo, Xiaolong Qi, Shichao Yi

Dynamic Anomaly Detection Using Vector Autoregressive Model

Yuemeng Li, Aidong Lu, Xintao Wu, Shuhan Yuan

A Convergent Differentially Private k-Means Clustering Algorithm

Zhigang Lu, Hong Shen

Session 3A - Factor and Tensor Analysis 

Chair: Khoa Nguyen

Online Data Fusion Using Incremental Tensor Learning

Nguyen Lu Dang Khoa, Hongda Tian, Yang Wang, Fang Chen

Co-clustering from Tensor Data

Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif

A Data-Aware Latent Factor Model for Web Service QoS Prediction 

Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu

Keyword Extraction with Character-level Convolutional Neural Tensor Networks

Zhe-Li Lin, Chuan-Ju Wang

Neural Variational Matrix Factorization with Side Information for Collaborative Filtering

Teng Xiao, Hong Shen

Variational Deep Collaborative Matrix Factorization for Social Recommendation

Teng Xiao, Hui Tian, Hong Shen

Session 3B - Sequential Pattern Mining 

Chair: Riccardo Guidotti

Efficiently Finding High Utility-Frequent Itemsets using Cutoff and Suffix Utility

R. Uday Kiran, T. Yashwanth Reddy, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa

How Much Can A Retailer Sell? Sales Forecasting on Tmall

Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong

Hierarchical LSTM: Modeling Temporal Dynamics and Taxonomy in Location-Based Mobile Check-Ins

Chun-Hao Liu, Da-Cheng Juan, Xuan-An Tseng, Wei Wei, Yu-Ting Chen, Jia-Yu Pan, Shih-Chieh Chang

Recovering DTW Distance between Noise Superposed NHPP

Yongzhe Chang, Zhidong Li, Bang Zhang, Ling Luo, Arcot Sowmya, Yang Wang, Fang Chen

ATNet: Answering Cloze-Style Questions via Intra-attention and Inter-attention

Chengzhen Fu, Yuntao Li, Yan Zhang

Parallel Mining of Top-k High Utility Itemsets in Spark In-Memory Computing Architecture

Chun-Han  Lin, Cheng-Wei Wu, JianTao Huang, Vincent S. Tseng

Session 4A - Representation Learning and Embedding (I) 

Chair: Senzhang Wang

AAANE: Attention-based Adversarial Autoencoder for Multi-scale Network Embedding

Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu

NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation

Dedong Li, Aimin Zhou, Chuan Shi

Ranking Network Embedding via Adversarial Learning

Quanyu Dai, Qiang Li, Liang Zhang, Dan Wang

Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddings

Jan Neerbek, Peter Dolog, Ira Assent

Extracting Keyphrases from Research Papers Using Word Embeddings

Wei Fan, Huan Liu, Suge Wang, Yuxiang Zhang, Yaocheng Chang

Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach

Tiehang Duan, Qi Lou, Sargur N. Srihari, Xiaohui Xie

SSNE: Status Signed Network Embedding

Chunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang

Session 4B - Weakly Supervised Learning 

Chair: Kuan-Ting Lai

Robust Semi-Supervised Multi-Label Learning by Triple Low-Rank Regularization

Lijuan Sun, Songhe Feng, Gengyu Lyu, Congyan Lang

Multi-class Semi-supervised Logistic I-RELIEF Feature Selection Based on Nearest Neighbor

Baige Tang, Li Zhang

Effort-Aware Tri-Training for Semi-Supervised Just-in-Time Defect Prediction

Wenzhou Zhang, Weiwei Li, Xiuyi Jia

One Shot Learning with Margin

Xianchao Zhang, Jinlong Nie, Linlin Zong, Hong Yu, Wenxin Liang

DeepReview: Automatic Code Review using Deep Multi-Instance Learning

Heng-Yi Li, Shu-Ting Shi, Ferdian Thung, Xuan Huo, Bowen Xu, Ming Li, David Lo

Multi-label Active Learning with Error Correcting Output Codes

Ningzhao Sun, Jincheng Shan, Chenping Hou

Dynamically Weighted Multi-View Semi-Supervised  Learning  for CAPTCHA

Congqing He, Li Peng, Yuquan Le, Jiawei He

Session 4C - Recommender System 

Chair: Murat Kantarcioglu

A Novel Top-N Recommendation Approach Based on Conditional Variational Auto-Encoder

Bo Pang, Min Yang, Chongjun Wang

Jaccard Coefficient-based Bi-clustering and Fusion Recommender System for Solving Data Sparsity

Jiangfei Cheng, Li Zhang

A Novel KNN Approach for Session-based Recommendation

Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang

A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions

Chenyu Zhang, Hao Wang, Shangdong Yang, Yang Gao

Heterogeneous Item Recommendation for the Air Travel Industry

Zhicheng He, Jie Liu, Guanghui Xu, Yalou Huang

A Minimax Game for Generative and Discriminative Sample Models for Recommendation

Zongwei Wang, Min Gao, Xinyi Wang, Junliang Yu, Junhao Wen, Qingyu Xiong

RNE: A Scalable Network Embedding for Billion-scale Recommendation

Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan Qi

Session 4D - Social Network and Graph Mining 

Chair: Philippe Fournier-Viger

Graph Compression with Stars

Faming Li, Zhaonian Zou, Jianzhong Li, Yingshu Li

Neighbor-based Link Prediction with Edge Uncertainty

Chi Zhang, Osmar Zaiane

Inferring Social Bridges that Diffuse Information Across Communities

Pei Zhang, Ke-Jia Chen, Tong Wu

Learning Pretopological Spaces to Extract Ego-centered Communities

Gaetan Caillaut, Guillaume Cleuziou, Nicolas Dugué

EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation

Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, Xueqi Cheng

TPLP: Two-Phase Selection Link Prediction for Vertex in Graph Streams

Yang Xiao, Hong Huang, Feng Zhao, Hai Jin

Robust Temporal Graph Clustering for Group Record Linkage

Charini Nanayakkara, Peter Christen, Thilina Ranbaduge

Session 5A - Data Pre-Processing and Feature Selection 

Chair: Zhidong Li

Learning Diversified Features for Object Detection via Multi-region Occlusion Example Generating

Junsheng Liang, Zhiqiang Li, Hongchen Guo

HATDC: A Holistic Approach for Time Series Data Repairing

Xiaojie Liu, Guangxuan Song, Xiaoling Wang

Double Weighted Low-Rank Representation and Its Efficient Implementation

Jianwei Zheng, Kechen Lou, Ping Yang, Wanjun Chen, Wanliang Wang

Exploring Dual-Triangular Structure for Efficient R-initiated Tall-skinny QR on GPGPU

Nai-Yun Cheng, Ming-Syan Chen

Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search

Elias Jaasaari, Ville Hyvonen, Teemu Roos

An Accelerator of Feature Selection Applying a General Fuzzy Rough Model

Peng Ni, Suyun Zhao, Hong Chen, Cuiping Li

Text Feature Extraction and Selection Based on Attention Mechanism

Longxuan Ma, Lei Zhang

Session 5B - Text and Opinion Mining (II) 

Chair: Sheng-Jun Huang

Multi-task Learning for Target-dependent Sentiment Classification

Divam Gupta, Kushagra Singh, Soumen Chakrabarti, Tanmoy Chakraborty

SC-NER: a Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition

Yu Wang, Yun Li, Ziye Zhu, Bin Xia, Zheng Liu

BAB-QA: A New Neural Model for Emotion Detection in Multi-Party Dialogue

Zilong Wang, Zhaohong Wan, Xiaojun Wan

Unsupervised User Behavior Representation for Fraud Review Detection with Cold-Start Problem

Qian Li, Qiang Wu, Chengzhang Zhu, Jian Zhang, Wentao Zhao

Gated Convolutional Encoder-Decoder for Semi-Supervised Affect Prediction

Kushal Chawla, Sopan Khosla, Niyati Chhaya

Complaint Classification Using Hybrid-Attention GRU Neural Network

Shuyang Wang, Bin Wu, Bai Wang, Xuesong Tong

Session 5C -  Mining Unstructured and Semi-structured Data 

Chair: Hady Wirawan Lauw

Context-Aware Dual-Attention Network for Natural Language Inference

Kun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu, C. L. Philip Chen

Best from Top k versus Top 1: Improving Distant Supervision Relation Extraction with Deep Reinforcement Learning

Yaocheng Gui, Qian Liu, Tingming Lu, Zhiqiang Gao

Towards One Reusable Model for Various Software Defect Mining Tasks

Heng-Yi Li, Ming Li, Zhi-Hua  Zhou

User Preference-Aware Review Generation

Wei Wang, Hai-Tao Zheng, Hao Liu

Mining Cluster Patterns in XML Corpora via Latent Topic Models of Content and Structure

Gianni Costa, Riccardo Ortale

A Large-scale Repository of Deterministic Regular Expression Patterns and Its Applications

Haiming Chen, Yeting Li, Chunmei Dong, Xinyu Chu, Xiaoying Mou, Weidong Min

Determining the Impact of Missing Values on Blocking in Record Linkage

Imrul Chowdhury Anindya, Murat Kantarcioglu, Bradley Malin

Session 5D - Behavioral Data Mining 

Chair: Cuneyt Gurcan Akcore

Bridging the Gap between Research and Production with CODE

Yiping Jin, Dittaya Wanvarie, Phu T.V. Le

Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction

Qiang Cui, Yuyuan Tang, Shu Wu, Liang Wang

Using Multi-objective Optimization to Solve the Long Tail Problem in Recommender System

Jiaona Pang, Jun Guo, Wei Zhang

Event2Vec: Learning Event Representations Using Spatial-Temporal Information for Recommendation

Yan Wang, Jie Tang

Maximizing Gain Over Flexible Attributes in Peer to Peer Marketplaces

Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das

An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation

Khoa D. Doan, Guolei Yang, Chandan K. Reddy

Mentor Pattern Identification from Product Usage Logs

Ankur Garg, Aman Kharb, Yash H. Malviya, J. P. Sagar, Atanu R. Sinha, Iftikhar Ahamath Burhanuddin, Sunav Choudhary

Session 6A - Deep Learning Models and Applications (II) 

Chair: Min-Ling Zhang

EFCNN: A Restricted Convolutional Neural Network for Expert Finding

Yifeng Zhao, Jie Tang, Zhengxiao Du

CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis

Garima Gupta, Vishal Sunder, Ranjitha Prasad, Gautam Shroff

Long-Term Traffic Time Prediction Using Deep Learning with Integration of Weather Effect

Chih-Hsin Chou, Yu Huang, Chian-Yun  Huang, Vincent S. Tseng

Arrhythmias Classification by Integrating Stacked Bidirectional LSTM and Two-dimensional CNN

Fan Liu, Xingshe Zhou, Jinli Cao, Zhu Wang, Hua Wang, Yanchun Zhang

An Efficient and Resource-Aware Hashtag Recommendation Using Deep Neural Networks

David Kao, Kuan-Ting Lai, Ming-Syan Chen

Dynamic Student Classification on Memory Networks for Knowledge Tracing

Sein Minn, Michel C. Desmarais, Feida Zhu, Jing Xiao, Jianzong Wang

Targeted Knowledge Transfer for Learning Traffic Signal Plans

Nan  Xu, Guanjie Zheng, Kai Xu, Yanmin Zhu, Zhenhui Li

Session 6B - Visual Data Mining 

Chair: Yu-Feng Li

AggregationNet: Identifying Multiple Changes Based on Convolutional Neural Network in Bitemporal Optical Remote Sensing Images

Qiankun Ye, Xiankai Lu, Hong Huo, Lihong Wan, Yiyou Guo, Tao Fang

Detecting Micro-expression Intensity Changes from Videos Based on Hybrid Deep CNN

Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood

A Multi-Scale Recalibrated Approach for 3D Human Pose Estimation

Ziwei Xie, Hailun Xia, Chunyan Feng

Gossiping the Videos: An Embedding-based Generative Adversarial Framework for Time-sync Comments Generation

Guangyi Lv, Tong Xu, Qi Liu, Enhong Chen, Weidong He, Mingxiao An, Zhongming Chen

Self-paced Robust Deep Face Recognition with Label Noise

Pengfei Zhu, Wenya Ma, Qinghua Hu

Multi-Constraints-Based Enhanced Class-specific Dictionary Learning for Image Classification

Ze Tian, Ming Yang

Discovering Senile Dementia from Brain MRI Using Ra-DenseNet

Xiaobo Zhang, Yan Yang, Tianrui Li, Hao Wang, Ziqing He

Session 6C - Representation Learning and Embedding (II) 

Chair: Xiangliang Zhang 

On the Network Embedding in Sparse Signed Networks

Ayan Kumar Bhowmick, Koushik Meneni, Bivas Mitra

MSNE: A Novel Markov Chain Sampling Strategy for Network Embedding

Ran Wang, Yang Song, Xinyu Dai

Auto-Encoder Based Co-Training Multi-View Representation Learning

Run-kun Lu, Jian-wei Liu, Yuan-fang Wang, Hao-jie Xie, Xin Zuo

Robust Semi-Supervised Representation Learning for Graph-Structured Data

Lan-Zhe Guo, Tao Han, Yu-Feng Li

Characterizing the SOM Feature Detectors under Various Input Conditions

Macario O. Cordel II, Arnulfo P. Azcarraga

PCANE: Preserving Context Attributes for Network Embedding

Danhao Zhu, Xinyu Dai, Kaijia Yang, Jiajun Chen, Yong He

A Novel Framework for Node/Edge Attributed Graph Embedding

Guolei Sun, Xiangliang Zhang

Session 6D - Knoweldge Graph and Interpretable Data Mining 

Chair: Katerina Hlavackova-Schindler

Granger Causality for Heterogeneous Processes

Sahar Behzadi, Katerina Hlavácková-Schindler, Claudia Plant

Knowledge Graph Embedding with Order Information of Triplets

Jun Yuan, Neng Gao, Ji Xiang, Chenyang Tu, Jingquan Ge

Knowledge Graph Rule Mining via Transfer Learning

Pouya Ghiasnezhad Omran, Zhe Wang, Kewen Wang

Knowledge Base Completion by Inference from Both Relational and Literal Facts

Zhichun Wang, Yong Huang

EMT: A Tail-Oriented Method for Specific Domain Knowledge Graph Completion

Yi Zhang, Zhijuan Du, Xiaofeng Meng

An Interpretable Neural Model with Interactive Stepwise Influence

Yin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, Xia Hu

Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism

En-Yu Hsu, Chien-Liang Liu, Vincent S. Tseng