Sunday, August 9, 2020
8:00 am to 8:30 am	Opening Ceremony (Zoom meeting ID: 747 145 3412 URL: https://zoom.com.cn/j/7471453412)
8:30 am to 9:30 am	Keynote 1: On Presuppositions of Machine Learning: A Meta Theory by Zongben Xu, Xi'an Jiaotong University, China. Chair: Xindong Wu (Zoom meeting ID: 747 145 3412 URL: https://zoom.com.cn/j/7471453412)
9:30 am to 9:40 am	Coffee Break
9:40 am to 12:00 pm	Track03-1: Knowledge Graph Analytics and Applications Chair: Shuai Ma Zoom meeting ID: 611 239 0941 URL: https://zoom.com.cn/j/6112390941	Track04-1: Knowledge Graphs and NLP Chair: Yanghua Xiao Zoom meeting ID: 285 044 2162 URL: https://zoom.com.cn/j/2850442162
12:00 pm to 14:30 pm	Lunch Break
14:30 pm to 17:10 pm	Track01-1: Machine Learning and Knowledge Graphs Chair: Huanhuan Chen Zoom meeting ID: 611 239 0941 URL: https://zoom.com.cn/j/6112390941	Track07-1: Social Network and Representation Learning Chair: Peng Cui Zoom meeting ID: 285 044 2162 URL: https://zoom.com.cn/j/2850442162
Monday, August 10, 2020
9:00 am to 11:30 pm	Track03-2: Knowledge Graph Analytics and Applications Chair: Shuai Ma Zoom meeting ID: 611 239 0941 URL: https://zoom.com.cn/j/6112390941	Track04-2: Knowledge Graphs and NLP Chair: Seung-won Hwang Zoom meeting ID: 285 044 2162 URL: https://zoom.com.cn/j/2850442162
11:30 pm to 13:30 pm	Lunch Break
13:30 pm to 14:30 pm	Keynote 2: Analysing, Understanding and Repairing Knowledge Graphs at Scale by Frank van Harmelen, the Vrije Universiteit Amsterdam Chair: Grigoris Antoniou Zoom meeting ID: 747 145 3412 URL: https://zoom.com.cn/j/7471453412
14:30 am to 15:30 am	Coffee Break
15:30 pm to 18:10 pm	Track01-2: Machine Learning and Knowledge Graphs Chair: Yunjun Gao Zoom meeting ID: 611 239 0941 URL: https://zoom.com.cn/j/6112390941	Track07-2: Social Network and Representation Learning Chair: Peng Cui Zoom meeting ID: 285 044 2162 URL: https://zoom.com.cn/j/2850442162
Tuesday, August 11, 2020
8:30 am to 9:30 am	Keynote 3: Cyber Security Meets Big Knowledge: Towards a Secure HACE Theorem by Bhavani Thuraisingham, The University of Texas at Dallas, USA. Chair: Enhong Chen Zoom meeting ID: 747 145 3412 URL: https://zoom.com.cn/j/7471453412
9:30 am to 9:40 am	Coffee Break
9:40 am to 12:00 pm	Track08: Knowledge Graphs for Cultural Heritage Chair: Antonis Bikakis Zoom meeting ID: 611 239 0941 URL: https://zoom.com.cn/j/6112390941	Track10: Domain Knowledge Graphs Chair: Zhi Jin Zoom meeting ID: 285 044 2162 URL: https://zoom.com.cn/j/2850442162
12:00 pm to 14:30 pm	Lunch Break
14:30 pm to 17:10 pm	Track01-3: Machine Learning and Knowledge Graphs Chair: Lei Li Zoom meeting ID: 611 239 0941 URL: https://zoom.com.cn/j/6112390941	Track09 & Track11: Knowledge Graphs for Geospatial Information Systems or Education Chair: Jun Liu Zoom meeting ID: 285 044 2162 URL: https://zoom.com.cn/j/2850442162

Track01-1: Machine Learning and Knowledge Graphs

• Incorporating Bi-Dynamic Routing Capsule Network with Label-Constraint for Text Classification
Xiang Guo, Youquan Wang, Jie Cao, Guixiang Zhu, Haicheng Tao, and Chaoyue Chen
• Subject Event Extraction from Chinese Court Verdict Case via Frame-filling
Gongqing Wu, Shengjie Hu, Yinghuan Wang, Zan Zhang, and Xianyu Bao
• Outlier Detection via Kernel Preserving Embedding and Random Walk
Enhui Li, Huawen Liu, Kaile Su, and Shichao Zhang
• An Ant Colony Optimization Algorithm with Adaptive Greedy Strategy to Optimize Path Problems
Wei Li, Le Xia, and Ying Huang
• Enhancing Knowledge Graph Embedding with Relational Constraints
Mingda Li, Zhengya Sun, Siheng Zhang, and Wensheng Zhang
• Conversational Music Recommendation based on Bandits
Chunyi Zhou, Yuanyuan Jin, and Xiaoling Wang
• Online Streaming Feature Selection Based on Feature Interaction
Yan Lv, Yaojin Lin, Xiangyan Chen, Dongxing Wang, and Chenxi Wang
• Adaptive Domain of Dynamic Distribution based on Manifold Space
Daoyuan Yu and Xuegang Hu

Track01-2: Machine Learning and Knowledge Graphs

• Emotion Recognition from Facial Expressions and Contactless Heart Rate Using Knowledge Graph
Wenying Yu, Shuai Ding, Zijie Yue, and Shanlin Yang
• Graph-based Keyphrase Extraction Using Word and Document Embeddings
Xian Zu, Fei Xie, and Xiaojian Liu
• Periodic Guidance Learning
Lipeng Wan, Xuguang Lan, Xuwei Song, and Chuzhen Feng
• Knowledge Federation: A Unified and Hierarchical Privacy-Preserving AI Framework
Hongyu Li, Dan Meng, Hong Wang, and Xiaolin Li
• Online Markov Blanket Discovery with Streaming Features
Dianlong You, Ruiqi Li, Miaomiao Sun, Xinju Ou, Shunpan Liang, and Fuyong Yuan
• AHINE: Adaptive Heterogeneous Information Network Embedding
Yucheng Lin, Huiting Hong, Xiaoqing Yang, Pinghua Gong, Zang Li, and Jieping Ye
• Learning Wasserstein Distance-Based Gaussian Graphical Model for Multivariate Time Series Classification
Xuegang Hu, Jianxing Liao, Peipei Li, Junwei Lv, and Lei Li
• Imbalanced Learning for Hospital Readmission Prediction using NRD Databases
Shuwen Wang and Xinquan Zhu

Track01-3: Machine Learning and Knowledge Graphs

• Embedding-based Entity Alignment Using Relation Structural Similarity
Yanhui Peng, Jing Zhang, Cangqi Zhou, and Jian Xu
• An Abnormal Data Analysis and Processing Method for Genealogy Graph Databases
Jianxuan Shao, Guliu Liu, and Shengwei Ji
• Unfairness Discovery and Prevention for Few-Shot Regression
Chen Zhao and Feng Chen
• A Roadmap to Domain Knowledge Integration in Machine Learning
Himel Das Gupta and Victor Sheng
• Prediction of Financial Big Data Stock Trends Based on Attention Mechanism
Jiannan Chen, Junping Du, Zhe Xue, and Feifei Kou
• BERT-BIGRU-CRF: A Novel Entity Relationship Extraction Model
Jianghai Lv, Junping Du, Zhou Nan, and Zhe Xue
• Multi-task Classification Model Based on Multi-modal Glioma Data
Jialun Li, Yuanyuan Jin, Hao Yu, Xiaoling Wang, and Qiyuan Zhuang

Track03-1: Knowledge Graph Analytics and Applications

• B-SPARQL: A typed language for Querying the Big Knowledge
Ruqian Lu, Chuanqing Wang, Xikun Huang, and Songmao Zhang
• Entity Spatio-temporal Evolution Summarization in Knowledge Graphs
Erhe Yang, Fei Hao, Jie Gao, Yulei Wu, and Geyong Min
• Clustering via Meta-path Embedding for Heterogeneous Information Networks
Yongjun Zhang, Xiaoping Yang, and Liang Wang
• An Event-Centric Prediction System for COVID-19
Xiaoyi Fu, Jiang Xu, Yunfei Qi, Meng Xu, Yuhang Song, Jie Zhang, and Xindong Wu
• Knowledge Graph Enhanced Neural Collaborative Filtering with Residual Recurrent Network
Lei Sang and Lei Li
• Learning Knowledge Embeddings with Prior Weights for Sparse Interaction Recommendation
Deqing Yang, Zikai Guo, and Yanghua Xiao
• Scientific Workflow Recommendation Based on Service Knowledge Graph
Jin Diao and Zhangbing Zhou
• MM-GAN: 3D MRI Data Augmentation for Medical Image Segmentation via Generative Adversarial Networks
Yi Sun, Peisen Yuan, and Yuming Sun

Track03-2: Knowledge Graph Analytics and Applications

• Dynamic Relation Extraction with A Learnable Temporal Encoding Method
Yinghan Shen, Xuhui Jiang, Yuanzhuo Wang, Xiaolong Jin, and Xueqi Cheng
• The Integrated Organization of Data and Knowledge Based on Distributed Hash
Hengli Wang, Yanlei Shang, and Xiuquan Qiao
• Resolving Seemingly Conflicting Fact Statements Caused by Missing Terms
Liang Wang, Rongrong Li, Weiyi Meng, and Zhiyong Peng
• Global and Personalized Query Probability for Obfuscation-Based Web Search
Hao Wang, Wenyan Liu, and Xiaoling Wang
• Network Analysis of Technology Stocks using Market Correlation
Lukasz Chmielewski, Rafina Amin, and Xingquan Zhu
• Fair Meta-Learning for Few-Shot Classification
Chen Zhao, Changbin Li, Jincheng Li, and Feng Chen
• Dual Graph Embedding for Object-Tag Link Prediction on the Knowledge Graph
Chenyang Li, Xu Chen, Jingchao Su, Ya Zhang, Siheng Chen, Dan Lv, and Yanfeng Wang

Track04-1: Knowledge Graphs and NLP

• Siamese BERT Model with Adversarial Training for Relation Classification
Zhimin Lin, Dajiang Lei, Yuting Han, Guoyin Wang, Wei Deng, and Yuan Huang
• A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition
Houjin Yu, Xian-Ling Mao, Zewen Chi, Wei Wei, and Heyan Huang
• Improving Document-level Relation Extraction via Contextualizing Mention Representations and Weighting Mention Pairs
Ping Jiang, Xianling Mao, and Heyan Huang
• Hybrid Framework of Convolution and Recurrent Neural Networks for Text Classification
Shengfei Lyu and Jiaqi Liu
• Neural Entity Synonym Set Generation using Association Information and Entity Constraint
Subin Huang, Xiangfeng Luo, Jing Huang, Wei Qin, and Shengwei Gu
• Context and Type Enhanced Representation Learning for Relation Extraction
Erxin Yu, Yantao Jia, Shang Wang, Fengfu Li, and Yi Chang
• Dynamically Jointing character and word embedding for Chinese text Classification
Xuetao Tang, Xuegang Hu, and Peipei Li

Track04-2: Knowledge Graphs and NLP

• TransP: A New Knowledge Graph Embedding Model by Translating on Positions
Feiliang Ren, Jucheng Li, Huihui Zhang, and Xiaochun Yang
• Self-Attention and Dynamic Convolution Hybrid Model for Neural Machine Translation
Zhebin Zhang, Wu Sai, Chen Gang, and Dawei Jiang
• BaKGraSTeC: A Background Knowledge Graph Based Method for Short Text Classification
Xuhui Jiang, Yinghan Shen, Yuanzhuo Wang, Xiaolong Jin, and Xueqi Cheng
• A Two-Level Noise-Tolerant Model for Relation Extraction with Reinforcement Learning
Erxin Yu, Yantao Jia, Yuan Tian, and Yi Chang
• Relational Facts Extraction with Splitting Mechanism
Yunzhou Shi and Yujiu Yang
• Knowledge Base Enhanced Topic Modeling
Dandan Song, Jingwen Gao, Jinhui Pang, Lejian Liao, and Lifei Qin
• EntityLDA: A Topic Model for Entity Retrieval on Knowledge Graph
Yu Hong, Suo Feng, and Yanghua Xiao

Track07-1: Social Network and Representation Learning

• PRNSGA-II: A Novel Approach for Influence Maximization and Cost Minimization Based on NSGA-II
Fulan Qian, Cunliang Zhu, Xi Chen, Shu Zhao, and Yanping Zhang
• Heterogeneous Dynamic Graph Attention Network
Qiuyan Li, Yanlei Shang, Xiuquan Qiao, and Wei Dai
• GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction
Hao Gao, Yongqing Wang, Shanshan Lyu, Huawei Shen, and Xueqi Cheng
• SDSK2BERT: Explore the Specific Depth with Specific Knowledge to Compress BERT
Lifang Ding and Yujiu Yang
• Decentralized Mining Pool Games in Blockchain
Zhihuai Chen, Xiaohan Shan, Xiaoming Sun, and Jialin Zhang
• Approximate Single-Peakedness in Large Elections
Zhihuai Chen, Qian Li, Xiaoming Sun, Lirong Xia, and Jialin Zhang
• Relation Extraction with Proactive Domain Adaptation Strategy
Lingfeng Zhong, and Yi Zhu

Track07-2: Social Network and Representation Learning

• Two-stage Sequential Recommendation via Bidirectional Attentive Behavior Embedding and Long/Short-term Integration
Wendi Ji
• Cyber-guided Deep Neural Network for Malicious Repository Detection in GitHub
Yiming Zhang, Yujie Fan, Shifu Hou, Yanfang (Fanny) Ye, Xusheng Xiao, Pan Li, Chuan Shi, Liang Zhao, and Shouhuai Xu
• Collaborative Adversarial Learning for Relational Learning on Multiple Bipartite Graphs
Jingchao Su, Xu Chen, Siheng Chen, Ya Zhang, Dan Lv, and Chenyang Li
• Deep Reinforcement Learning for Greenhouse Climate Control
Lu Wang, Xiaofeng He, and Dijun Luo
• Adaptive Regularization-Incorporated Latent Factor Analysis
Xin Luo, Ye Yuan, and Di Wu
• Robust and Accurate Representation Learning for High-dimensional and Sparse Matrices in Recommender Systems
Di Wu, Gang Lu, and Zhicheng Xu
• TriNE: Network Representation Learning for Tripartite Heterogeneous Networks
Zhabiz Gharibshah and Xingquan Zhu

Track08: Knowledge Graphs for Cultural Heritage

• PZXG: A Genealogy Data Service Platform for Kinship Recovery and Management
Yuwei Peng, Huan Jiang, Rongrong Li, and Zhiyong Peng
• GeLaiGeLai: A visual platform for analysis of Classical Chinese Poetry based on Knowledge Graph
Yuting Wei, Huazheng Wang, Jiaqi Zhao, Yutong Liu, Yun Zhang, and Bin Wu
• Knowledge Fragment Cleaning in a Genealogy Knowledge Graph
Guliu Liu and Lei Li
• Knowledge Graph for China's Genealogy
Xindong Wu, Tingting Jiang, Yi Zhu, and Chenyang Bu
• Web Log Analysis in Genealogy System
Xiaojian Liu, Yi Zhu, and Shengwei Ji
• Rule-enhanced Noisy Knowledge Graph Embedding Via Low-quality Error Detection
Yan Hong, Chenyang Bu, and Tingting Jiang
• Balanced Tree Partitioning with Succinct Logic
Xindong Wu, Shaojing Sheng, and Peng Zhou

Track10: Domain Knowledge Graphs

• TCMKG: A Deep Learning Based Traditional Chinese Medicine Knowledge Graph Platform
Ziqiang Zheng, Yongguo Liu, Yun Zhang, and Chuanbiao Wen
• Medical Entity Extraction from Health Insurance
Tianling Pu, Qifan Zhang, and Junjie Yao
• Event Extraction for Criminal Legal Text
Qingquan Li, Qifan Zhang, and Junjie Yao
• Causal Extraction from the Literature of Pressure Injury and Risk Factors
Siyi Guo, Liuqi Jin, Jiaoyun Yang, Mengyao Jiang, Lin Han, and Ning An
• Traffic Signal Classification with Cost-Sensitive Deep Learning Models
Tsz Shing Tsoi and Charles Wheelus
• Drug-Drug Interaction Extraction from Chinese Biomedical Literature Using Distant Supervision
Jingzhuo Zhang, Weijie Liu, and Ping Wang
• Neural Restaurant-aware Dish Recommendation
Yuanyuan Jin, Wei Zhang, Mingyou Sun, Xing Luo, and Xiaoling Wang

Track09 & Track11: Knowledge Graphs for Geospatial Information Systems or Education

• Discovering the Most Influential Geo-Social Object Using Location Based Social Network Data
Pengfei Jin, Yunjun Gao, and Lu Chen
• Maintenance of Range Skyline Query
Xiaoxue Li, Yuanquan Shi, Xu Zhou, and Kenli Li
• An OpenCV-based Framework for Table Information Extraction
Jiayi Yuan, Hongye Li, Meng Wang, Ruyang Liu, Chuanyou Li, and Beilun Wang
• Coreference Resolution Improves Educational Knowledge Graph Construction
Tai Wang and Huan Li
• FEPF: A knowledge Fusion and Evaluation Method based on Pagerank and Feature Selection Yimu Ji, Kaihang Liu, Shangdong Liu, Shuning Tang, Zhengyang Xu, Lin Hu, Yanlan Liu, and Qiang Liu
• Neural Attentive Knowledge Tracing Model for Student Performance Prediction
Junrui Zhang, Yun Mo, Changzhi Chen, and Xiaofeng He
• The Short-Term Power Consumption Forecasting Based on the Portrait of Substation Areas
Ruiyang Jin, Yunlei Lu, Yunhong Wang, and Jie Song