Sub-Forum Agenda_Data Science

Fudan Science and Innovation Forum 2018

Data Science Sub-Forum Agenda

Host: School of Data Science, Fudan University


 

Time: December 16th

Venue: Hyatt Regency Shanghai Wujiaochang

13:30-13:40   |    Opening Remark (Events I&II)

  • Chair: Qiwei Yao, Chengxiang Zhai

13:40-14:30   |    Keynote Speech (Events I&II)

  • Speaker: Donald Rubin (Harvard University)

Topic: Estimation Medical Effects of Treatments in Real-World Practice Using Data from Blind, Placebo-Controlled Randomized Trials Used for Approval

14:40-15:20   |    Distinguished Speech I (Event I)

  • Speaker: Xueqi Cheng (Chinese Academy of Sciences)

Topic: Social Media Analytics: Modeling and Prediction

14:40-15:20   |    Distinguished Speech II (Event II)

  • Speaker: Tong Zhang (Tencent AI Lab)

Topic: Machine Learning Research: Current Trends and Directions

15:20-15:40   |    Tea Break

15:40-17:40   |     Session

Session I: Network Data Analysis and Modelling(Event I)

Session II: Algorithm Foundation of Data Science I(Event II)

Session III: Recent Advances on Network Analysis and Quantile Regression (Event III)

Session IV: Fudan Young Scholars Forum for Big Data(Event V)

 

Time: December 17th

Venue: East Sub-building of Guanghua Tower, Fudan University

08:30-09:20   |    Keynote Speech (Room 102)

  • Speaker: Dan Roth (University of Pennsylvania)

Topic: Natural Language Understanding with Incidental Supervision

09:30-10:10   |    Distinguished Speech I (Room102)

  • Speaker: Heng Ji (Rensselaer Polytechnic Institute) Topic: Universal Information Extraction

 

09:30-10:10   |    Distinguished Speech II (20th Floor, Meeting room 1)

  • Speaker: Tony Cai (University of Pennsylvania)

Topic: An Integrative Framework for Two-Sample Sparse Inference

10:10-10:30   |    Tea Break

10:30-12:30   |     Session

Session I: Statistical Learning for Bigdata in Business, Social Sciences and Biomedicine(Room 205)

Session II: High-dimensional and large-scale inference(Room 208) Session III: Algorithm Foundation of Data Science II(Room 206)

Session IV: Advanced statistical approaches for neuroimaging data (4th Floor, Meeting room 1)

Session V: Analysis of Social Media and Visual Media(4th Floor, Meeting room 2)

12:30                |    Group Photo

12:40-13:30   |    Lunch

13:00-14:00   |    Poster Session (4th Floor)

  • Chair: Xiahai Zhuang

14:40-15:20   |    Keynote Speech (Room102)

  • Speaker: Zhiming Ma (Chinese Academy of Sciences/Nankai University) Topic: Some Mathematical Aspects of Machine Learning

14:30-15:10   |    Distinguished Speech I (Room 102)

  • Speaker: Huan Liu (Rensselaer Polytechnic Institute Arizona State University) Topic: Big Social Media Data and New Challenges for Machine Learning

14:30-15:10   |    Distinguished Speech II (20th Floor, Meeting room 1)

  • Speaker: Hanson Wang (Peking University)

Topic: A Popularity Scaled Latent Space Model for Large-Scale Directed Social Network

15:10-15:30       |   Tea Break

15:30-17:30       |   Session

SessionI: High-dimensional Statistics Inference(Room 205)

 SessionII: Knowledge Graphs(Room 208)

SessionIII: Big Data Modelling and Application(Room 206)

SessionIV: Biomedical Informatics(4th Floor, Meeting room 1)

SessionV: Learning Complex Data(4th Floor, Meeting room 2)

 

Time: December 18th

Venue: East Sub-building of Guanghua Tower, Fudan University

08:30-09:20   |    Keynote Speech (Room 102)

  • Speaker: Padhraic Smyth (University of California) Topic: Deep Learning and Statistics: Connections

09:30-10:10   |    Distinguished Speech I (Room 102)

  • Speaker: Jian-Yun Nie (University of Montreal)

Topic: Representation learning in information retrieval – What to represent?

09:30-10:10   |    Distinguished Speech II (20th Floor, Meeting room 1)

  • Speaker: Hongtu Zhu (University of Pennsylvania)

Topic: Dynamic Demand and Supply Network Analysis for Ride Sharing Business

10:10-10:30   |    Tea Break

10:30-12:30   |    Session

SessionI: Big data and Intelligence: do they boost the development of economics and finance?(Room 205)

SessionII: Complex data analysis(Room 208)

SessionIII: Modern Statistical Inference(Room 206)

SessionIV: Natural Language Processing at Alibaba(4th Floor, Meeting room 1) SessionV: Natural Language Processing(4th Floor, Meeting room 2)

12:30-13:30   |    Lunch