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The 1st SJTU CS – RIKEN AIP Joint Workshop on Machine Learning and Brain-like Intelligence

发布时间:2019-03-04

The 1st SJTU CS – RIKEN AIP Joint Workshop on Machine Learning and Brain-like Intelligence

(Shanghai, March 7-9th, 2019)


March 7, 2019 (Thursday)

9:00-9:30

Opening Ceremony (SEIEE 3-200)

(Liqing Zhang, Introduction of AI Research at SJTU-CS,

Masashi Sugiyama, Introduction of RIKEN AIP)

9:30-12:00

Oral Session 1 (SEIEE 3-200)

9:30-10:00

Liqing Zhang

SJTU

Visual Cortical Networks for Image Semantical Representation

10:00-10:30

Masashi Sugiyama

RIKEN-AIP / UTokyo

Wealky Supervised Learning

10:30-11:00

Group Photo & Coffee Break

11:00-11:30

Bao-liang Lu

SJTU

Emotion Recognition and Vigilance Estimation Using Deep Learning

11:30-12:00

Qibin Zhao

RIKEN-AIP

Tensor Network Representation for Machine Learning

12:00-13:00

Lunch (Campus Coffee)

13:00-15:00

Poster & Free Discussion Session 1 (SEIEE 3-200)

 

 

13:30-14:00

Signing MOU Agreement (SEIEE 3-208)

 

 

15:00-17:50

Oral Session 2 (SEIEE 3-200)

15:00-15:30

Ya Zhang

SJTU

Resource Restricted Learning with Application to Multimedia Understanding

15:30-16:00

Minh Ha Quang

RIKEN-AIP

Covariance Matrices and Operators: Theory and Applications

16:00-16:20

Coffee Break

16:20-16:50

Hai Zhao

SJTU

Dependency Praising with Associated Memory Network

16:50-17:20

Tomasz Rutkowski

RIKEN-AIP

AI Neurotechnology for Aging Societies – Task-load and Dementia EEG Digital Biomarker Development Using Information Geometry Machine Learning Methods

17:20-17:50

Yanmin Qian

SJTU

New Challenges and Recent Progresses in Speech Recognition

18:00-20:00

Dinner (Rui Li Fang Restaurant)

 

 

March 8, 2019 (Friday)

9:30-12:20

Oral Session 3 (SEIEE 3-200)

9:30-10:00

Shikui Tu

SJTU

A Brief Introduction to the On-going Research in CMaCH Center

10:00-10:30

Takanori Maehara

RIKEN-AIP

Automaton Constrained Tree Knapsack Problem

10:30-10:50

Coffee Break

10:50-11:20

Hongtao Lu

SJTU

Generative Methods in Computer Vision

11:20-11:50

Gang Niu

RIKEN-AIP

Robust Learning against Label Noise

11:50-12:20

Cewu Lu

SJTU

Behavior Understanding Meets 3D Representation

12:20-13:30

Lunch (E Coffee)

13:30-15:50

Oral Session 4 (SEIEE 3-200)

13:30-14:00

Li Niu

SJTU

Webly Supervised Learning Meets Zero-shot Learning

14:00-14:30

Toshihisa Tanaka

TUAT / RIKEN-AIP

Music familiarity affects brain response: Machine learning application to cognitive neuroscience

14:30-14:50

  Coffee Break

14:50-15:20

Weinan Zhang

SJTU

Reinforcement Learning: from Multi-Agent to Many-Agent

15:20-15:50

Jill-Jênn Vie

RIKEN-AIP

Knowledge Tracing Machines: Factorization Machines for Educational Data Mining

15:50-17:30

Poster & Free Discussion Session 2 (SEIEE 3-200)

Lab tour (Tsung Dao Lee library, Speech Lab, BCMI Lab, AEMD center)

  


Notice
:

- SEIEE 3 building: No. 3 building at School of Electronic Information and Electrical Engineering, 800 Dongchuan Road, Minhang District, Shanghai Jiaotong University (上海交通大学闵行校区东川路800号电信学院楼群3号楼)

- A bus will be provided from the Redding Mann Hotel to SEIEE 3 building at 20 mins before the workshop in the morning of March 7th-8th.

- After checking out the hotel in the morning on March 8th, you will bring your luggage to the bus. Then, we will take the same bus to another hotel at 17:40.

 

 

A List of Posters

Bahareh Kalantar

RIKEN-AIP

Mapping Groundwater Potential Zones in the Haraz Basin using Mixture Discriminate Analysis

Wei He

RIKEN-AIP

Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising

Ryuichiro Hataya

RIKEN-AIP

Bilevel Deep Weakly-Supervised Learning

Ming Hou

RIKEN-AIP

Generalizing Deep Multi-task Learning with Heterogenous Structured Networks via Tensor Ring Nets

Masahiro Ikeda

RIKEN-AIP

Finding Cheeger Cuts in Hypergraphs via Heat Equation

Tanuj Aasawat

RIKEN-AIP

Scale-free Graph Processing on a Single NUMA Machine

Longhao Yuan

RIKEN-AIP

Tensor Ring Completion with Rank Minimization on Latent Space

Xuyang Zhao

RIKEN-AIP

Epileptic Focus Localization Based on Interictal iEEG

Isao Ishikawa

RIKEN-AIP

Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators

Tomohisa Okazaki

RIKEN-AIP

Synthesis of Earthquake Ground Motions using Embedding and Neural Networks

Chao Li

RIKEN-AIP

Reshuffled Tensor Decomposition and Exact Recovery of Low-rank Components

Jianfu Zhang

SJTU

Multi-shot Pedestrian Re-identification via Sequential Decision Making

Jianfu Zhang

SJTU

Multi-Attribute Transfer via Disentangled Representation

Zhengzhong Zhou

SJTU

Fashion Sensitive Clothing Recommendation Using Hierarchical Collocation Model

Bo Pang

SJTU

Deep RNN Framework for Visual Sequential Applications

Yiru Zhao

SJTU

An Adversarial Approach to Hard Triplet Generation

Wen Ding

SJTU

Fast Adaptation on Deep Mixture Generative Network based Acoustic Modeling

Ying Zhou

SJTU

Robust Mask Estimation by Integrating Neural Network-Based and Clustering-Based Approaches for Adaptive Acoustic Beamforming

Yu Qin

SJTU

Look Back and Predict Forward in Image Captioning

Lianmin Zheng

SJTU

A Many-agent Reinforcement Learning Platform For Artificial Collective Intelligence

Jiangchao Yao

SJTU

Safeguarded Dynamic Label Regression for Noisy Supervision

Yexun Zhang

SJTU

Separating Style and Content for Generalized Style Transfer

Zuchao Li

SJTU

Dependency or Span, End-to-End Uniform Semantic Role Labeling

Wei Liu

SJTU

Multi-view Emotion Recognition Using Deep

Canonical Correlation Analysis

Yun Luo

SJTU

EEG Data Augmentation for Emotion Recognition Using a Conditional

Wasserstein GAN

Li-Ming Zhao

SJTU

Classification of Five Emotions from EEG and Eye Movement Signals:

Complementary Representation Properties

Xun Wu

SJTU

Identifying Functional Brain Connectivity Patterns

for EEG-Based Emotion Recognition

Ning Xie

UESTC

Fast-PPO: Proximal Policy Optimization with Optimal Baseline Method

Tingting Zhao

TUST

Intention based reinforcement learning by information maximization

 

 


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