The 2nd RIKEN AIP – SJTU CS Joint Workshop on Machine Learning and Brain-like Intelligence

Time	Talk	Chair
9:30 – 9:40	Opening Remarks by Masashi Sugiyama
9:40 – 9:50	Introduction of RIKEN-AIP, Masashi Sugiyama (RIKEN)	Qibin Zhao
9:50 – 10:00	Introduction of SJTU-CS, Liqing Zhang (SJTU)
10:00 – 10:25	Masashi Sugiyama (RIKEN) Recent Advances in Robust Machine Learning
10:25 – 10:55	Coffee/Tea Break
10:55 – 11:20	Liqing Zhang (SJTU) Tensor Manifold Representation for Multi-Model Visual Tasks	Masashi Sugiyama
11:20 – 11:45	Qibin Zhao (RIKEN) Efficient and robust machine learning with tensor networks	Masashi Sugiyama
11:45 – 11:55	Group Photo
12:00 – 13:30	Lunch (all participants)
13:30 – 13:55	Baoliang Lu (SJTU) Multimodal Affective Brain-Computer Interface and Application	Liqing Zhang
13:55 – 14:20	Tomasz M. RUTKOWSKI (RIKEN) AI and Aging Brain: Machine Learning for BCI Applications in Healthy Aging and Neurobiomarkers
14:20 – 14:45	Lin Gu (RIKEN) Recognition in a physical world: an evolutionary approach
14:45 – 16:45	Coffee/Tea Break & Poster Session
16:45 – 17:10	Minyi Guo (SJTU) Cloud Native Architectures	Baoliang Lu
17:10 - 17:35	Lizhuang Ma (SJTU) Key Technologies and Applications of Industrial Visual Inspection
17:35 – 18:00	Gang Niu (RIKEN) Generalizing importance weighting to a universal solver for distribution shift problems
18:00 – 20:00	Dinner & Networking (all paticipants)

Time	Talk	Chair
9:50 – 10:15	Junchi Yan (SJTU) Learning for combinatorial optimization and applications	Gang Niu
10:15 – 10:40	Chao Li (RIKEN) Toward Exploring Arbitrary Tensor Networks in Computation and Learning	Gang Niu
10:40 – 11:10	Coffee/Tea Break
11:10 – 11:35	Yang Yang (SJTU) Systematic Reduction and Quantitative Assessment of Model Uncertainty in Medical Image Analysis	Tomasz M. RUTKOWSKI
11:35 – 12:00	Matthias Weissenbacher (RIKEN) , Online Talk Generalisation in image-based Reinforcement learning via Symmetries in Transformers	Tomasz M. RUTKOWSKI
12:00 – 13:30	Lunch (all participants)
13:30 – 13:55	Yanmin Qian (SJTU) Multi-Modal Robust Speech Processing, Analysis and Recognition in Reality	Lin Gu
13:55 – 14:20	Wei Huang (RIKEN) Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
14:20 – 14:45	Yuwei Sun (RIKEN) Exploring Priors and Long-Term Memory in Transformers
14:45 – 16:45	Coffee/Tea Break & Poster Session
16:45 – 17:10	Weilong Zheng (SJTU) Rapid Context Inference in a Thalamocortical Model Using Recurrent Neural Network	Junchi Yan
17:10 - 17:35	Kazusato Oko/Yujin Song (RIKEN) Transformer Efficiently Learns Low-dimensional Target Functions In-context
17:35 – 18:00	Yilan Chen (RIKEN) Analyzing Neural Networks through Equivalent Kernels
18:00	Closing Remarks by Liqing Zhang

Presenter: Andong Wang

Title: Tensor low-rankness for robust generalization
Presenter: Yuning Qiu

Title: Towards Multi-Mode Outlier Robust Tensor Ring Decomposition
Presenter: Reinmar Kobler

Title: Geometric Deep Learning to advance EEG BCI generalization and EEG-fMRI fusion
Presenter: Wei Wang

Title: Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
Presenter: Haonan Huang

Title: Adversarially Robust Multi-view Learning: Attack and Defense

Presenter: Takashi Ishida

Title: Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
Presenter: Simon Kojima

Title: Spatial Auditory Soundscapes for Developing Digital Neurobiomarkers or Cognitive Interventions in Early-onset Dementia Based on EEG and fNIRS Machine-learning Analysis
Presenter: Mingyuan Bai

Title: Diffusion Models for Adversarial Purification
Presenter: Hailin Wang

Title: Guaranteed Tensor Recovery fused Low-rankness and Smoothness
Presenter: Guang Lin

Title: Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization

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