Technical Program

You can download the detailed conference program in PDF here.

Date: August 10, 2018
Venue: Great Hall (俱乐部一楼礼堂)

8:30 am - 9:00 am                 

Opening Ceremony                
Welcome Speech by General Chair              
Program Chair Report                
Group Photo                            
9:00 am - 9:50 am                             Keynote Talk: Recent Advances in Robust Machine Learning                
by Prof. Masashi Sugiyama                            
9:50 am - 10:20 am                           Morning Break                            
10:20 am - 11:10 am                           Keynote Talk: NLP: its progress, opportunities and challenges                  
by Dr. Ming Zhou                          
11:10 am - 12:00 noon                             Keynote Talk: Deep Learning: Core Networks, Industry Applications, and Future Directions                  
by Prof. Shuicheng Yan                          
12:00 noon - 2:00 pm                             Lunch Break                            
2:00 pm - 3:20 pm                             Oral Session 1 (in parallel with Poster Session)                  
#1.1: Unsupervised Maximum Margin Incomplete Multi-view Clustering                
Hong Tao, Chenping Hou , Dongyun Yi, Jubo Zhu                  
#1.2: Multi-View K-means Clustering with Bregman Divergences                
Yan Wu, Liang Du, Honghong Cheng                  
#1.3: Learning Safe Graph Construction from Multiple Graphs                  
De-Ming Liang, Yu-Feng Li                
#1.4: LSH-based Graph Partitioning Algorithm                  
Weidong Zhang, Mingyue Zhang                          
3:20 pm - 3:50 pm                             Afternoon Break                            
3:50 pm - 5:10 pm                           Oral Session 2 (in parallel with Poster Session)                  
#2.1: Graph Regularized Discriminative Joint Concept Factorization for Data Representation                  
Xianzhong Long, Cheng Cheng                
#2.2: Semi-Supervised Classification of Concept Drift Data Stream based on Local Component Replacement                
Keke Qin, Yimin Wen                  
#2.3: Landmark-Biased Random Walk for Deterministic Planning                
Wei Wei, Chuang Li, Wei Liu, Dantong Ouyang                  
#2.4: Spatial Temporal Topic Embedding: A Semantic Modeling Method for Short Text in Social Network                  
Congxian Yang, Junping Du, Feifei Kou, Jangmyung Lee                          
5:10 pm - 5:30 pm                             Closing Ceremony