The Third SFU-ZJU Joint Symposium on Big Data and Visual Computing

Welcome to The Third SFU-ZJU Joint Symposium on Big Data and Visual Computing

Big Data and Visual Computing applications are wide-reaching, with potential for innovations in many disciplines, such as environment, medicine, engineering, business, social sciences and humanities. To embrace the unprecedented opportunities and echo the grand challenges, Simon Fraser University and Zhejiang University, the two leading universities in Canada and China, respectively, are determined to build on their long time strategic collaboration and create the next synergy of in-depth and extensive collaboration in Big Data and Visual Computing research and development. The Third Joint Symposium on Big Data and Visual Computing Research is a forum where researchers and students from the two universities will meet, exchange ideas, and explore opportunities.

Symposium Location

曹光彪东楼502 502, East CaoGuangBiao Building

Symposium Schedule

Saturday, May 26 Sunday, May 27

Saturday, May 26

	Opening Session Session Chair Prof. Qianping Gu
08:45	Opening Speech Speaker: Prof. Fei Wu
	Academic Session Session Chair Prof. Deng Cai
9:00	From Symmetry to Functionality: An Evolution to Understand 3D Shapes and Environments [slide] Prof. Richard (Hao) Zhang (SFU)
9:30	Memory-Augmented Learning [slide] Prof. Fei Wu (ZJU)
10:00	Polarimetric 3D Vision [slide] Prof. Ping Tan (SFU)
10:30	Coffee Break
	Academic Session Session Chair Prof. Jiannan Wang
11:00	Parabix Regular Expression Search [slide] Prof. Rob Cameron (SFU)
11:30	The Development of Medical AI in Local China Hangzhou [slide] Ms. Qi Sun (ZJU)
12:00	Lunch
	Academic Session Session Chair Prof. Richard (Hao) Zhang
14:00	Speeding Up Data Science: From a Data Management Perspective [slide] Prof. Jiannan Wang (SFU)
14:30	Large Scale Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph [slide] Prof. Deng Cai (ZJU)
15:00	Utilizing Relationships among Users to Enhance Personalized Recommendation [slide] Dr. Xin Wang (GDDP/DDP graduate)
15:30	Personalized Broadcast Message Prioritization [slide] Dr. Beidou Wang (GDDP/DDP graduate)
16:00	Coffee Break & Poster Session

Sunday, May 27

	Academic Session Session Chair Prof. Wei Chen
9:00	Explainable Machine Learning With Interactive Visualization [slide] Prof. Shixia Liu (Tsinghua University)
9:30	Interactive Visual Anomaly Detection and its Applications [slide] Prof. Nan Cao (Tongji University)
10:00	From Industrial Internet of Things to Internet of Minds for Industries [slide] Prof. Jun Zhang (University of Denvor)
10:30	Coffee Break
	Academic Session Session Chair Prof. Deng Cai
11:00	Analyzing and Predicting Human Activities in Video [slide] Prof. Greg Mori (SFU)
11:30	Optimization Techniques for Distributed Databases [slide] Prof. Sai Wu (ZJU)
12:00	Lunch
14:00	Brainstorm Group Meetings for Collaborations
15:00	Poster Session

Posters:

Beidou Wang : Personalized Broadcast Email Prioritization
Chen Jiacheng and Chen Song : Scalable Distributed Visual Computing for Line-Rate Video Streams
Yilong (Jetic) Gu : Neural Machine Translation and Parsing with a Syntax-Aware Language Model and Tree-Structured Decoding
Ruoyi Wang : Superoptimization via Program Synthesis for the Human Resource Machine (HRM) Architecture
Bowen Chen : Annotate the human genome based on epigenetic data sets via State Space Model
Xi Yang : Speeding up Sampling in Key-Value Stores
Changgan Chen : Constraint-Aware deep neural network compression
Ligeng Zhu : Exploring the relationship between color and object recognition or Sparsely Aggregated Convolutional Networks
Boyuan Pan : Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference
Yu Zhu : Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism
Yu Zhu : Brand-level Behavior Prediction with Customized Attention-GRU Model
Zheqian Chen: Dialogue Act Recognition via CRF-Attentive Structured Network
Wei Ji: Semantic Locality-Aware Deformable Network for Clothing Segmentation
Yue Hu: Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement
Hui Wang and Hanbin Zhao: Progressive Blockwise Knowledge Distillation for Neural Network Acceleration
Liming Zhao: Deep Convolutional Neural Networks with Merge-and-Run Mappings