Program at a Glance

Sunday, August 9, 2020
8:00 am to 8:30 amOpening Ceremony
(Zoom meeting ID: 747 145 3412 URL: https://zoom.com.cn/j/7471453412)
8:30 am to 9:30 amKeynote 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 amCoffee Break
9:40 am to 12:00 pmTrack03-1: Knowledge Graph Analytics and Applications
Chair: Defu Lian
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 pmLunch Break
14:30 pm to 17:10 pmTrack01-1: 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 pmTrack03-2: 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: Tieyun Qian
Zoom meeting ID: 285 044 2162
URL: https://zoom.com.cn/j/2850442162
11:30 pm to 13:30 pmLunch Break
13:30 pm to 14:30 pmKeynote 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 amCoffee Break
15:30 pm to 18:10 pmTrack01-2: 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 amKeynote 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 amCoffee Break
9:40 am to 12:00 pmTrack08: Knowledge Graphs for Cultural Heritage
Chair: Haiping Ma
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 pmLunch Break
14:30 pm to 17:10 pmTrack01-3: 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

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*Each paper will be given totally 25 minutes including 20 minute oral presentation and 5 minute Q&A.

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