b'Tong Yang'

research

∙ 08/30/2023

Sparse Waypoint Validity Checking for Self-Entanglement-Free Tethered Path Planning

A novel mechanism to derive self-entanglement-free (SEF) path for tether...

0 Tong Yang, et al. ∙

research

∙ 08/25/2023

ChainedFilter: Combining Membership Filters by Chain Rule

Membership (membership query / membership testing) is a fundamental prob...

0 Haoyu Li, et al. ∙

research

∙ 04/05/2023

Calibrating Cross-modal Feature for Text-Based Person Searching

We present a novel and effective method calibrating cross-modal features...

0 Donglai Wei, et al. ∙

research

∙ 01/02/2023

ChameleMon: Shifting Measurement Attention as Network State Changes

Flow-level network measurement is critical to many network applications....

0 Kaicheng Yang, et al. ∙

research

∙ 10/27/2022

Revisiting the ACVI Method for Constrained Variational Inequalities

ACVI is a recently proposed first-order method for solving variational i...

0 Tatjana Chavdarova, et al. ∙

research

∙ 10/25/2022

COEP: Cascade Optimization for Inverse Problems with Entropy-Preserving Hyperparameter Tuning

We propose COEP, an automated and principled framework to solve inverse ...

0 Tianci Liu, et al. ∙

research

∙ 08/08/2022

Efficient Distance-Optimal Tethered Path Planning in Planar Environments: The Workspace Convexity

The main contribution of this paper is the proof of the convexity of the...

0 Tong Yang, et al. ∙

research

∙ 07/27/2022

Efficient Search of the k Shortest Non-Homotopic Paths by Eliminating Non-k-Optimal Topologies

An efficient algorithm to solve the k shortest non-homotopic path planni...

0 Tong Yang, et al. ∙

research

∙ 06/21/2022

Solving Constrained Variational Inequalities via an Interior Point Method

We develop an interior-point approach to solve constrained variational i...

3 Tong Yang, et al. ∙

research

∙ 05/09/2022

Learning A Simulation-based Visual Policy for Real-world Peg In Unseen Holes

This paper proposes a learning-based visual peg-in-hole that enables tra...

0 Liang Xie, et al. ∙

research

∙ 04/16/2022

Cannikin's Law in Tensor Modeling: A Rank Study for Entanglement and Separability in Tensor Complexity and Model Capacity

This study clarifies the proper criteria to assess the modeling capacity...

0 Tong Yang, et al. ∙

research

∙ 04/16/2022

Tensor-networks for High-order Polynomial Approximation: A Many-body Physics Perspective

We analyze the problem of high-order polynomial approximation from a man...

0 Tong Yang, et al. ∙

research

∙ 04/15/2022

Knowledgebra: An Algebraic Learning Framework for Knowledge Graph

Knowledge graph (KG) representation learning aims to encode entities and...

12 Tong Yang, et al. ∙

research

∙ 01/19/2022

Q-ViT: Fully Differentiable Quantization for Vision Transformer

In this paper, we propose a fully differentiable quantization method for...

0 Zhexin Li, et al. ∙

research

∙ 09/23/2021

LGD: Label-guided Self-distillation for Object Detection

In this paper, we propose the first self-distillation framework for gene...

0 Peizhen Zhang, et al. ∙

research

∙ 09/15/2021

Anchor DETR: Query Design for Transformer-Based Detector

In this paper, we propose a novel query design for the transformer-based...

0 Yingming Wang, et al. ∙

research

∙ 04/15/2021

Points as Queries: Weakly Semi-supervised Object Detection by Points

We propose a novel point annotated setting for the weakly semi-supervise...

25 Liangyu Chen, et al. ∙

research

∙ 03/17/2021

You Only Look One-level Feature

This paper revisits feature pyramids networks (FPN) for one-stage detect...

17 Qiang Chen, et al. ∙

research

∙ 12/04/2020

Generator Pyramid for High-Resolution Image Inpainting

Inpainting high-resolution images with large holes challenges existing d...

0 Leilei Cao, et al. ∙

research

∙ 12/03/2020

Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection

Object detectors usually achieve promising results with the supervision ...

0 Tiancai Wang, et al. ∙

research

∙ 09/10/2020

Spectral Clustering with Smooth Tiny Clusters

Spectral clustering is one of the most prominent clustering approaches. ...

9 Hengrui Wang, et al. ∙

research

∙ 08/13/2020

Variance Regularization for Accelerating Stochastic Optimization

While nowadays most gradient-based optimization methods focus on explori...

0 Tong Yang, et al. ∙

research

∙ 08/09/2020

A Deep Learning Approach for COVID-19 Trend Prediction

In this work, we developed a deep learning model-based approach to forec...

0 Tong Yang, et al. ∙

research

∙ 07/29/2020

Space- and Computationally-Efficient Set Reconciliation via Parity Bitmap Sketch (PBS)

Set reconciliation is a fundamental algorithmic problem that arises in m...

0 Long Gong, et al. ∙

research

∙ 07/10/2020

A new stability and convergence proof of the Fourier-Galerkin spectral method for the spatially homogeneous Boltzmann equation

Numerical approximation of the Boltzmann equation is a challenging probl...

0 Jingwei Hu, et al. ∙

research

∙ 06/26/2020

QCluster: Clustering Packets for FlowScheduling

Flow scheduling is crucial in data centers, as it directly influences us...

0 Tong Yang, et al. ∙

research

∙ 06/10/2020

Entanglement-Embedded Recurrent Network Architecture: Tensorized Latent State Propagation and Chaos Forecasting

Chaotic time series forecasting has been far less understood despite its...

0 Xiangyi Meng, et al. ∙

research

∙ 05/26/2020

Perceptual Extreme Super Resolution Network with Receptive Field Block

Perceptual Extreme Super-Resolution for single image is extremely diffic...

10 Taizhang Shang, et al. ∙

research

∙ 05/22/2020

A Group-Theoretic Framework for Knowledge Graph Embedding

We demonstrated the existence of a group algebraic structure hidden in r...

0 Tong Yang, et al. ∙

research

∙ 05/22/2020

CovidNet: To Bring Data Transparency in the Era of COVID-19

Timely, creditable, and fine-granular case information is vital for loca...

0 Tong Yang, et al. ∙

research

∙ 05/22/2020

CovidNet: To Bring the Data Transparency in Era of COVID-19

Timely, creditable, and fine-granular case information is vital for loca...

0 Tong Yang, et al. ∙

research

∙ 03/31/2020

Learning Human-Object Interaction Detection using Interaction Points

Understanding interactions between humans and objects is one of the fund...

0 Tiancai Wang, et al. ∙

research

∙ 01/27/2020

Cellular Decomposition for Non-repetitive Coverage Task with Minimum Discontinuities

A mechanism to derive non-repetitive coverage path solutions with a prov...

0 Tong Yang, et al. ∙

research

∙ 09/05/2019

Elastic_HH: Tailored Elastic for Finding Heavy Hitters

Finding heavy hitters has been of vital importance in network measuremen...

0 Xilai Liu, et al. ∙

research

∙ 03/26/2019

DetNAS: Neural Architecture Search on Object Detection

Object detectors are usually equipped with networks designed for image c...

0 Yukang Chen, et al. ∙

research

∙ 09/04/2018

Fast and Accurate Graph Stream Summarization

A graph stream is a continuous sequence of data items, in which each ite...

0 Xiangyang Gou, et al. ∙

research

∙ 07/03/2018

MetaAnchor: Learning to Detect Objects with Customized Anchors

We propose a novel and flexible anchor mechanism named MetaAnchor for ob...

0 Tong Yang, et al. ∙

research

∙ 04/21/2017

FISF: Better User Experience using Smaller Bandwidth for Panoramic Virtual Reality Video

The panoramic video is widely used to build virtual reality (VR) and is ...

0 Lun Wang, et al. ∙

Tong Yang

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