b'Jingwei Zhang'

research

∙ 07/17/2022

Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

Histopathology whole slide images (WSIs) play a very important role in c...

Jingwei Zhang, et al. ∙

research

∙ 05/22/2022

System-Level Evaluation of Beam Hopping in NR-Based LEO Satellite Communication System

Satellite communication by leveraging the use of low earth orbit (LEO) s...

Jingwei Zhang, et al. ∙

research

∙ 05/19/2022

Mean-Field Analysis of Two-Layer Neural Networks: Global Optimality with Linear Convergence Rates

We consider optimizing two-layer neural networks in the mean-field regim...

Jingwei Zhang, et al. ∙

research

∙ 07/09/2021

Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention

This paper seeks to tackle the bin packing problem (BPP) through a learn...

Jingwei Zhang, et al. ∙

research

∙ 08/22/2020

Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory

This paper considers deep visual recognition on long-tailed data, with t...

Jialun Liu, et al. ∙

research

∙ 07/15/2020

CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions

This paper proposes a self-supervised learning method for the person re-...

Zhongdao Wang, et al. ∙

research

∙ 03/09/2020

Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning

Traffic signal controllers play an essential role in the traffic system,...

Shengchao Yan, et al. ∙

research

∙ 02/23/2020

Multi-Antenna UAV Data Harvesting: Joint Trajectory and Communication Optimization

Unmanned aerial vehicle (UAV)-enabled communication is a promising techn...

Jingwei Zhang, et al. ∙

research

∙ 02/08/2020

Multi-Modality Cascaded Fusion Technology for Autonomous Driving

Multi-modality fusion is the guarantee of the stability of autonomous dr...

Hongwu Kuang, et al. ∙

research

∙ 10/03/2019

Generalization Bounds for Convolutional Neural Networks

Convolutional neural networks (CNNs) have achieved breakthrough performa...

Shan Lin, et al. ∙

research

∙ 07/24/2019

Receding Horizon Optimization for Energy-Efficient UAV Communication

In this letter, we study a wireless communication system with a fixed-wi...

Jingwei Zhang, et al. ∙

research

∙ 06/19/2019

Linear Complexity of A Family of Binary pq^2-periodic Sequences From Euler Quotients

We first introduce a family of binary pq^2-periodic sequences based on t...

Jingwei Zhang, et al. ∙

research

∙ 03/18/2019

Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration

Exploration in sparse reward reinforcement learning remains a difficult ...

Jingwei Zhang, et al. ∙

research

∙ 11/13/2018

Theoretical Analysis of Adversarial Learning: A Minimax Approach

We propose a general theoretical method for analyzing the risk bound in ...

Zhuozhuo Tu, et al. ∙

research

∙ 11/08/2018

An Optimal Transport View on Generalization

We derive upper bounds on the generalization error of learning algorithm...

Jingwei Zhang, et al. ∙

research

∙ 05/18/2018

UAV-Enabled Radio Access Network: Multi-Mode Communication and Trajectory Design

In this paper, we consider an unmanned aerial vehicle (UAV)-enabled radi...

Jingwei Zhang, et al. ∙

research

∙ 04/24/2018

An Information-Theoretic View for Deep Learning

Deep learning has transformed the computer vision, natural language proc...

Jingwei Zhang, et al. ∙

research

∙ 04/02/2018

Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning

This paper investigates exploration strategies of Deep Reinforcement Lea...

Oleksii Zhelo, et al. ∙

research

∙ 02/11/2018

On the Rates of Convergence from Surrogate Risk Minimizers to the Bayes Optimal Classifier

We study the rates of convergence from empirical surrogate risk minimize...

Jingwei Zhang, et al. ∙

research

∙ 02/01/2018

VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control

This paper deals with the reality gap from a novel perspective, targetin...

Jingwei Zhang, et al. ∙

research

∙ 10/06/2017

Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning

We present an approach for mobile robots to learn to navigate in pedestr...

Lei Tai, et al. ∙

research

∙ 06/29/2017

Neural SLAM: Learning to Explore with External Memory

We present an approach for agents to learn representations of a global m...

Jingwei Zhang, et al. ∙

research

∙ 12/16/2016

Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments

In this paper we consider the problem of robot navigation in simple maze...

Jingwei Zhang, et al. ∙

research

∙ 08/19/2015

Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections

Weak topic correlation across document collections with different number...

Jingwei Zhang, et al. ∙

Jingwei Zhang

Featured Co-authors

Dacheng Tao

Jun Wang

Rui Zhang

Ming Liu

Chi Zhang

Tongliang Liu

Xin Zhang

Wolfram Burgard

Xiaodong Liu

Liang Zheng

Dimitris Samaras

Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

System-Level Evaluation of Beam Hopping in NR-Based LEO Satellite Communication System

Mean-Field Analysis of Two-Layer Neural Networks: Global Optimality with Linear Convergence Rates

Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention

Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory

CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions

Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning

Multi-Antenna UAV Data Harvesting: Joint Trajectory and Communication Optimization

Multi-Modality Cascaded Fusion Technology for Autonomous Driving

Generalization Bounds for Convolutional Neural Networks

Receding Horizon Optimization for Energy-Efficient UAV Communication

Linear Complexity of A Family of Binary pq^2-periodic Sequences From Euler Quotients

Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration

Theoretical Analysis of Adversarial Learning: A Minimax Approach

An Optimal Transport View on Generalization

UAV-Enabled Radio Access Network: Multi-Mode Communication and Trajectory Design

An Information-Theoretic View for Deep Learning

Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning

On the Rates of Convergence from Surrogate Risk Minimizers to the Bayes Optimal Classifier

VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control

Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning

Neural SLAM: Learning to Explore with External Memory

Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments

Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections