March 22(Friday)

9:00-18:00 Registration

Workshop: Machine learning in graphics and media computing
                   Workshop chair: Yong-Jin Liu (Tsinghua University)

14:30-15:00 Feng Xu, Tsinghua University
                   3D Dynamic Reconstruction from Human to Scene

15:00-15:30 Weiming Dong, Institute of Automation, CAS
                   Image Aesthetic Assessment and Applications in Graphics

15:30-16:00 Zhiyong Wu, Graduate School at Shenzhen, Tsinghua University
                   When Speech Meets Graphics: Approaches for Expressive Speech Driven Talking Avatar

16:00-17:00 Panel Discussion

March 23(Saturday)

09:00-09:30 Opening

09:30-10:10 Keynote Speaker I: Leonidas J Guibas, Stanford University
                   Shape Differences and Variability

10:10-10:30 Coffee Break

10:30-11:10 Keynote Speaker 2: Song-Chun Zhu, University of California, Los Angeles
                   Explainable AI: How Machines Gain Justified Trust from Humans

11:10-11:50 Keynote Speaker 3: Eric Xing, Carnegie Mellon University
                   SysML: On System and Algorithm co-design for Practical Machine Learning

12:00 Lunch

13:30-14:20 Panel on Challenge and opportunities in AI: Theory and application

Session 1: Learning Theory

14:20-14:50 Liwei Wang, Peking University
                   Towards Understanding Learning Representation: To What Extent Do Two Networks
                   Learn the Same Representation
14:50-15:20 Jian Li, Tsinghua University
                   On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning
15:20-15:50 Bo Chen, Xidian University
                   Deep Autoencoding Topic Model

15:50-16:10 Coffee Break

Session 2: Learning & reasoning

16:10-16:40 Yang Yu, Nanjing University
                   Towards Read-World Decision Making via Reinforcement Learning
16:40-17:10 Mingsheng Long, Tsinghua University
                   Generalizing Deep Learning across Domains and Tasks
17:10-17:40 Hanwang Zhang, Nanyang Technological University
                   Towards X Visual Reasoning
17:40-18:10 Xianfeng Gu, Stony Brook University
                   An Optimal Transportation (OT) View of Generative Adversarial Networks (GANs)

18:30 Banquet

March 24 (Sunday)

09:00-09:40 Keynote Speaker 4: Hsiao-Wuen Hon, Microsoft Research Asia
                   A Brief History of Intelligence

09:40-10:20 Keynote Speaker 5: Zhengyou Zhang, Tencent AI Lab
                   Neural Network: Deep Supervision and Sensitivity Analysis

10:20-10:40 Coffee Break

Session 3: Multimedia processing

10:40-11:10 Peng Cui, Tsinghua University
                   Towards Stable Prediction across Unknown Environments
11:10-11:40 Jinhui Tang, Nanjing University of Science and Technology
                   Learning Visual Semantics from Noise Corrupted Social Media with Tag Refinement
11:40-12:10 Yugang Jiang, Fudan University
                   Video Content Recognition: Datasets, Algorithms and Applications

12:10 Lunch

Session 4: Visual recognition and robotics

13:30-14:00 Shi-Guang Shan, Institute of Computing Technology, CAS
                   Visual Recognition across Heterogeneous Patterns
14:00-14:30 Liang Lin, Sun Yat-Sen University
                   Representation Learning Meets Knowledge Reasoning: New Trends in AI
14:30-15:00 Gregory S. Chirikjian, John Hopkins University
                   Stochastic models in robotics

15:00-15:20 Coffee Break

Session 5: AI applications
15:20-15:50 Jingkuan Song, University of Electronic Science and Technology of China
                   Generative Adversarial Networks with Its Applications
15:50-16:20 Kai Yu, Shanghai Jiaotong University
                   Dialogue Policy Adaptation with Structured Deep Reinforcement Learning
16:20-16:50 Liang Wang,Institute of Automation, CAS
                   Deep Cognitive Networks and Their Visual Applications

16:50-17:00 Closing session