上海交通大学计算机科学与工程系(CSE)

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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 7^th-8^th.

- 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