b'Yichen Zhang'

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Featured Co-authors

Xi Chen
274 publications
Ling Shao
199 publications
Yan Wang
192 publications
Rongrong Ji
153 publications
Ying Zhang
96 publications
Jason D. Lee
92 publications
Yonghong Tian
90 publications
Kui Jia
87 publications
Ke Chen
86 publications
Feng Chen
79 publications
Wenjie Li
79 publications

research

∙ 05/18/2023

Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose

Domain gap between synthetic and real data in visual regression (6D pose...

0 Yichen Zhang, et al. ∙

research

∙ 12/30/2022

Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent

With the fast development of big data, it has been easier than before to...

0 Xi Chen, et al. ∙

research

∙ 12/21/2022

Online Statistical Inference for Matrix Contextual Bandit

Contextual bandit has been widely used for sequential decision-making ba...

0 Qiyu Han, et al. ∙

research

∙ 10/22/2022

Adaptive Data Fusion for Multi-task Non-smooth Optimization

We study the problem of multi-task non-smooth optimization that arises u...

0 Henry Lam, et al. ∙

research

∙ 10/15/2022

Distributed Estimation and Inference for Semi-parametric Binary Response Models

The development of modern technology has enabled data collection of unpr...

0 Xi Chen, et al. ∙

research

∙ 08/08/2022

Fast 3D Sparse Topological Skeleton Graph Generation for Mobile Robot Global Planning

In recent years, mobile robots are becoming ambitious and deployed in la...

0 Xinyi Chen, et al. ∙

research

∙ 05/07/2022

BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation

The challenges of learning a robust 6D pose function lie in 1) severe oc...

0 Zelin Xu, et al. ∙

research

∙ 04/06/2022

Exploration with Global Consistency Using Real-Time Re-integration and Active Loop Closure

Despite recent progress of robotic exploration, most methods assume that...

0 Yichen Zhang, et al. ∙

research

∙ 04/02/2022

Mix-up Self-Supervised Learning for Contrast-agnostic Applications

Contrastive self-supervised learning has attracted significant research ...

0 Yichen Zhang, et al. ∙

research

∙ 01/10/2022

Neither Fast Nor Slow: How to Fly Through Narrow Tunnels

Nowadays, multirotors are playing important roles in abundant types of m...

0 Luqi Wang, et al. ∙

research

∙ 04/30/2021

Unsupervised data augmentation for object detection

Data augmentation has always been an effective way to overcome overfitti...

0 Yichen Zhang, et al. ∙

research

∙ 03/26/2021

Provably Correct Controller Synthesis of Switched Stochastic Systems with Metric Temporal Logic Specifications: A Case Study on Power Systems

In this paper, we present a provably correct controller synthesis approa...

0 Zhe Xu, et al. ∙

research

∙ 03/06/2021

Omni-swarm: An Aerial Swarm System with Decentralized Omni-directional Visual-Inertial-UWB State Estimation

The collaboration of unmanned aerial vehicles (UAVs), also known as aeri...

0 Hao Xu, et al. ∙

research

∙ 02/18/2021

Encoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning with Region-of-Interest Active Sampling

With the increasing penetration of renewable energy, frequency response ...

0 Yichen Zhang, et al. ∙

research

∙ 02/05/2021

Online Statistical Inference for Gradient-free Stochastic Optimization

As gradient-free stochastic optimization gains emerging attention for a ...

0 Xi Chen, et al. ∙

research

∙ 12/26/2020

Variance Reduction on Adaptive Stochastic Mirror Descent

We study the idea of variance reduction applied to adaptive stochastic m...

0 Wenjie Li, et al. ∙

research

∙ 11/29/2020

Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems

Self-healing capability is one of the most critical factors for a resili...

0 Yichen Zhang, et al. ∙

research

∙ 10/22/2020

FUEL: Fast UAV Exploration using Incremental Frontier Structure and Hierarchical Planning

Autonomous exploration is a fundamental problem for various applications...

0 Boyu Zhou, et al. ∙

research

∙ 07/27/2020

Deep Active Learning for Solvability Prediction in Power Systems

Traditional methods for solvability region analysis can only have inner ...

9 Yichen Zhang, et al. ∙

research

∙ 03/30/2020

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

CT scans are promising in providing accurate, fast, and cheap screening ...

78 Jinyu Zhao, et al. ∙

research

∙ 03/11/2020

Decentralized Visual-Inertial-UWB Fusion for Relative State Estimation of Aerial Swarm

The collaboration of unmanned aerial vehicles (UAVs) has become a popula...

0 Hao Xu, et al. ∙

research

∙ 03/07/2020

PathVQA: 30000+ Questions for Medical Visual Question Answering

Is it possible to develop an "AI Pathologist" to pass the board-certifie...

0 Xuehai He, et al. ∙

research

∙ 02/24/2020

HRank: Filter Pruning using High-Rank Feature Map

Neural network pruning offers a promising prospect to facilitate deployi...

7 Mingbao Lin, et al. ∙

research

∙ 09/28/2019

Training convolutional neural networks with cheap convolutions and online distillation

The large memory and computation consumption in convolutional neural net...

0 Jiao Xie, et al. ∙

research

∙ 04/30/2019

Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks

Neural coding is one of the central questions in systems neuroscience fo...

0 Yichen Zhang, et al. ∙

research

∙ 11/28/2018

First-order Newton-type Estimator for Distributed Estimation and Inference

This paper studies distributed estimation and inference for a general st...

0 Xi Chen, et al. ∙

research

∙ 11/06/2018

Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks

Deep convolutional neural networks (CNNs) have demonstrated impressive p...

0 Qi Yan, et al. ∙

research

∙ 10/18/2018

Quantile Regression Under Memory Constraint

This paper studies the inference problem in quantile regression (QR) for...

0 Xi Chen, et al. ∙

research

∙ 10/27/2016

Statistical Inference for Model Parameters in Stochastic Gradient Descent

The stochastic gradient descent (SGD) algorithm has been widely used in ...

0 Xi Chen, et al. ∙