b'Tao Huang'

research

∙ 09/18/2023

Localization-Guided Track: A Deep Association Multi-Object Tracking Framework Based on Localization Confidence of Detections

In currently available literature, no tracking-by-detection (TBD) paradi...

0 Ting Meng, et al. ∙

research

∙ 09/12/2023

Batch Implicit Neural Representation for MRI Parallel Reconstruction

Magnetic resonance imaging (MRI) always suffered from the problem of lon...

0 Hao Li, et al. ∙

research

∙ 07/31/2023

Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot

Reinforcement learning is still struggling with solving long-horizon sur...

0 Tao Huang, et al. ∙

research

∙ 07/20/2023

SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar

The 4D Millimeter wave (mmWave) radar is a promising technology for vehi...

0 Jianan Liu, et al. ∙

research

∙ 06/28/2023

Positive Label Is All You Need for Multi-Label Classification

Multi-label classification (MLC) suffers from the inevitable label noise...

0 Zhixiang Yuan, et al. ∙

research

∙ 03/24/2023

AI-Generated 6G Internet Design: A Diffusion Model-based Learning Approach

The 6G Internet poses intense demands for intelligent and customized des...

0 Yudong Huang, et al. ∙

research

∙ 03/16/2023

Homography matrix based trajectory planning method for robot uncalibrated visual servoing

In view of the classical visual servoing trajectory planning method whic...

0 Xiaoyu Lei, et al. ∙

research

∙ 02/20/2023

Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

Task automation of surgical robot has the potentials to improve surgical...

0 Tao Huang, et al. ∙

research

∙ 01/04/2023

UNAEN: Unsupervised Abnomality Extraction Network for MRI Motion Artifact Reduction

Motion artifact reduction is one of the most concerned problems in magne...

9 Yusheng Zhou, et al. ∙

research

∙ 01/01/2023

Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learning

Surgical robot automation has attracted increasing research interest ove...

15 Yonghao Long, et al. ∙

research

∙ 11/11/2022

RaLiBEV: Radar and LiDAR BEV Fusion Learning for Anchor Box Free Object Detection System

Radar, the only sensor that could provide reliable perception capability...

0 Yanlong Yang, et al. ∙

research

∙ 09/07/2022

Cooperative trajectory planning algorithm of USV-UAV with hull dynamic constraints

Efficient trajectory generation in complex dynamic environment stills re...

0 Tao Huang, et al. ∙

research

∙ 09/07/2022

Efficient Trajectory Planning and Control for USV with Vessel Dynamics and Differential Flatness

Unmanned surface vessels (USVs) are widely used in ocean exploration and...

0 Tao Huang, et al. ∙

research

∙ 07/12/2022

LightViT: Towards Light-Weight Convolution-Free Vision Transformers

Vision transformers (ViTs) are usually considered to be less light-weigh...

0 Tao Huang, et al. ∙

research

∙ 05/30/2022

Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning

To break the bottlenecks of mainstream cloud-based machine learning (ML)...

0 Chengfei Lv, et al. ∙

research

∙ 05/21/2022

Knowledge Distillation from A Stronger Teacher

Unlike existing knowledge distillation methods focus on the baseline set...

0 Tao Huang, et al. ∙

research

∙ 05/18/2022

Internet of Intelligence: A Survey on the Enabling Technologies, Applications, and Challenges

The Internet of intelligence is conceived as an emerging networking para...

0 Qinqin Tang, et al. ∙

research

∙ 05/13/2022

Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation

High-resolution (HR) MRI is critical in assisting the doctor's diagnosis...

11 Jianan Liu, et al. ∙

research

∙ 04/01/2022

A Class of Semiparametric Models with Homogeneous Structure for Panel Data Analysis

Stimulated by the analysis of a dataset from China about Covid-19, we pr...

0 Tao Huang, et al. ∙

research

∙ 03/24/2022

DyRep: Bootstrapping Training with Dynamic Re-parameterization

Structural re-parameterization (Rep) methods achieve noticeable improvem...

0 Tao Huang, et al. ∙

research

∙ 02/26/2022

Relational Surrogate Loss Learning

Evaluation metrics in machine learning are often hardly taken as loss fu...

0 Tao Huang, et al. ∙

research

∙ 01/25/2022

Large-scale Deterministic Transmission among IEEE 802.1Qbv Time-Sensitive Networks

IEEE 802.1Qbv (TAS) is the most widely used technique in Time-Sensitive ...

1 Weiqian Tan, et al. ∙

research

∙ 01/18/2022

Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning

Learning informative representations from image-based observations is of...

0 Tao Huang, et al. ∙

research

∙ 11/24/2021

GreedyNASv2: Greedier Search with a Greedy Path Filter

Training a good supernet in one-shot NAS methods is difficult since the ...

0 Tao Huang, et al. ∙

research

∙ 06/03/2021

Gradient Boosted Binary Histogram Ensemble for Large-scale Regression

In this paper, we propose a gradient boosting algorithm for large-scale ...

0 Hanyuan Hang, et al. ∙

research

∙ 03/22/2021

Prioritized Architecture Sampling with Monto-Carlo Tree Search

One-shot neural architecture search (NAS) methods significantly reduce t...

0 Xiu Su, et al. ∙

research

∙ 03/12/2021

Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging

In coded aperture snapshot spectral imaging (CASSI) system, the real-wor...

5 Tao Huang, et al. ∙

research

∙ 02/10/2021

Locally Free Weight Sharing for Network Width Search

Searching for network width is an effective way to slim deep neural netw...

9 Xiu Su, et al. ∙

research

∙ 01/08/2021

Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images

In the last few years, image denoising has benefited a lot from the fast...

4 Tao Huang, et al. ∙

research

∙ 11/18/2020

Explicitly Learning Topology for Differentiable Neural Architecture Search

Differentiable neural architecture search (DARTS) has gained much succes...

0 Tao Huang, et al. ∙

research

∙ 11/17/2020

MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks

Graph convolutional networks (GCNs) have been employed as a kind of sign...

0 Tao Huang, et al. ∙

research

∙ 10/28/2020

Data Agnostic Filter Gating for Efficient Deep Networks

To deploy a well-trained CNN model on low-end computation edge devices, ...

0 Xiu Su, et al. ∙

research

∙ 10/20/2020

Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers

Quantum error mitigation techniques are at the heart of quantum computat...

0 Yuxuan Du, et al. ∙

research

∙ 07/03/2020

Unified statistical inference for a novel nonlinear dynamic functional/longitudinal data model

In light of recent work studying massive functional/longitudinal data, s...

0 Lixia Hu, et al. ∙

research

∙ 03/25/2020

GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet

Training a supernet matters for one-shot neural architecture search (NAS...

6 Shan You, et al. ∙

research

∙ 03/23/2020

Grant-Free Non-Orthogonal Multiple Access: A Key Enabler for 6G-IoT

The proliferating number of devices with short payloads as well as low p...

0 Rana Abbas, et al. ∙

research

∙ 12/20/2019

Robust Data Preprocessing for Machine-Learning-Based Disk Failure Prediction in Cloud Production Environments

To provide proactive fault tolerance for modern cloud data centers, exte...

0 Shujie Han, et al. ∙

research

∙ 01/16/2013

Model Selection for Gaussian Mixture Models

This paper is concerned with an important issue in finite mixture modell...

0 Tao Huang, et al. ∙

Tao Huang

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