3 citations · 4 across the 6 of their papers we have counts for
7 papers
List Replicable Reinforcement Learning
Bohan Zhang, Michael Chen, A. Pavan +3
Replicability is a fundamental challenge in reinforcement learning (RL), as RL algorithms are empirically observed to be unstable and sensitive to variations in training conditions…
Neural Networks Learn Generic Multi-Index Models Near Information-Theoretic Limit
Bohan Zhang, Zihao Wang, Hengyu Fu +1
In deep learning, a central issue is to understand how neural networks efficiently learn high-dimensional features. To this end, we explore the gradient descent learning of a gener…
Nonlinear shift along the sensorimotor-association-axis in brain responses to task performance
Fan Cao, Yuqi Yuan, Xiaohui Yan +2
In the literature of cognitive neuroscience, researchers tend to assume a linear relationship between brain activation level and task performance; however, controversial findings h…
Interaction as Intelligence: Deep Research With Human-AI Partnership
Lyumanshan Ye, Xiaojie Cai, Xinkai Wang +23
This paper introduces "Interaction as Intelligence" research series, presenting a reconceptualization of human-AI relationships in deep research tasks. Traditional approaches treat…
A Systematic Review of Machine Learning Methods for Multimodal EEG Data in Clinical Application
Siqi Zhao, Wangyang Li, Xiru Wang +6
Machine learning (ML) and deep learning (DL) techniques have been widely applied to analyze electroencephalography (EEG) signals for disease diagnosis and brain-computer interfaces…
Who should I Collaborate with? A Comparative Study of Academia and Industry Research Collaboration in NLP
Hussain Sadiq Abuwala, Bohan Zhang, Mushi Wang
The goal of our research was to investigate the effects of collaboration between academia and industry on Natural Language Processing (NLP). To do this, we created a pipeline to ex…
MeetSum: Transforming Meeting Transcript Summarization using Transformers!
Nima Sadri, Bohan Zhang, Bihan Liu
Creating abstractive summaries from meeting transcripts has proven to be challenging due to the limited amount of labeled data available for training neural network models. Moreove…