b'Min Li'

research

∙ 08/17/2023

MV-ROPE: Multi-view Constraints for Robust Category-level Object Pose and Size Estimation

We propose a novel framework for RGB-based category-level 6D object pose...

0 Jiaqi Yang, et al. ∙

research

∙ 07/26/2023

Fast algorithms for k-submodular maximization subject to a matroid constraint

In this paper, we apply a Threshold-Decreasing Algorithm to maximize k-s...

0 Shuxian Niu, et al. ∙

research

∙ 06/26/2023

Approximation algorithms for k-submodular maximization subject to a knapsack constraint

In this paper, we study the problem of maximizing k-submodular functions...

0 Hao Xiao, et al. ∙

research

∙ 06/22/2023

Multimodal Zero-Shot Learning for Tactile Texture Recognition

Tactile sensing plays an irreplaceable role in robotic material recognit...

0 Guanqun Cao, et al. ∙

research

∙ 06/21/2023

Fast Segment Anything

The recently proposed segment anything model (SAM) has made a significan...

0 Xu Zhao, et al. ∙

research

∙ 05/02/2023

Multivariate Intrinsic Local Polynomial Regression on Isometric Riemannian Manifolds: Applications to Positive Definite Data

The paper introduces a novel non-parametric Riemannian regression method...

0 Ronaldo García Reyes, et al. ∙

research

∙ 02/20/2023

TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training

Sparsely gated Mixture-of-Expert (MoE) has demonstrated its effectivenes...

0 Chang Chen, et al. ∙

research

∙ 01/17/2023

Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation

To assist robots in teleoperation tasks, haptic rendering which allows h...

0 Guanqun Cao, et al. ∙

research

∙ 11/07/2022

Peak-First CTC: Reducing the Peak Latency of CTC Models by Applying Peak-First Regularization

The CTC model has been widely applied to many application scenarios beca...

0 Zhengkun Tian, et al. ∙

research

∙ 10/09/2022

Coded Residual Transform for Generalizable Deep Metric Learning

A fundamental challenge in deep metric learning is the generalization ca...

0 Shichao Kan, et al. ∙

research

∙ 09/05/2022

Fast geometric trim fitting using partial incremental sorting and accumulation

We present an algorithmic contribution to improve the efficiency of robu...

4 Min Li, et al. ∙

research

∙ 08/17/2022

Boosting Distributed Training Performance of the Unpadded BERT Model

Pre-training models are an important tool in Natural Language Processing...

0 Jinle Zeng, et al. ∙

research

∙ 08/06/2022

TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning

Human leukocyte antigen (HLA) is an important molecule family in the fie...

7 Meng Wang, et al. ∙

research

∙ 07/19/2022

A self-contained and self-explanatory DNA storage system

Current research on DNA storage usually focuses on the improvement of st...

0 Min Li, et al. ∙

research

∙ 07/02/2022

PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecular Generation

The rational design of novel molecules with desired bioactivity is a cri...

17 Huimin Zhu, et al. ∙

research

∙ 05/11/2022

Generalized Modeling and Fundamental Limits for Multiple-Access Integrated Sensing and Communication Systems

In this paper, we propose a generalized state-dependent channel modeling...

0 Yao Liu, et al. ∙

research

∙ 04/29/2022

RAR-PINN algorithm for the data-driven vector-soliton solutions and parameter discovery of coupled nonlinear equations

This work aims to provide an effective deep learning framework to predic...

0 Shu-Mei Qin, et al. ∙

research

∙ 04/16/2022

FKreg: A MATLAB toolbox for fast Multivariate Kernel Regression

Kernel smooth is the most fundamental technique for data density and reg...

5 Ying Wang, et al. ∙

research

∙ 11/26/2021

Testability-Aware Low Power Controller Design with Evolutionary Learning

XORNet-based low power controller is a popular technique to reduce circu...

7 Min Li, et al. ∙

research

∙ 11/26/2021

Representation Learning of Logic Circuits

Applying deep learning (DL) techniques in the electronic design automati...

65 Min Li, et al. ∙

research

∙ 10/25/2021

Information-Theoretic Limits of Integrated Sensing and Communication with Correlated Sensing and Channel States

Integrated sensing and communication (ISAC) emerges as a new design para...

0 Yao Liu, et al. ∙

research

∙ 09/18/2021

Mean square stability of stochastic theta method for stochastic differential equations driven by fractional Brownian motion

In this paper, we study the mean-square stability of the solution and it...

0 Min Li, et al. ∙

research

∙ 09/07/2021

GCsT: Graph Convolutional Skeleton Transformer for Action Recognition

Graph convolutional networks (GCNs) achieve promising performance for sk...

12 Ruwen Bai, et al. ∙

research

∙ 08/27/2021

Rethinking the Aligned and Misaligned Features in One-stage Object Detection

One-stage object detectors rely on the point feature to predict the dete...

7 Yang Yang, et al. ∙

research

∙ 06/12/2021

A Pseudo Label-wise Attention Network for Automatic ICD Coding

Automatic International Classification of Diseases (ICD) coding is defin...

2 Yifan Wu, et al. ∙

research

∙ 05/21/2021

TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks

Deep learning (DL) has achieved unprecedented success in a variety of ta...

10 Yu Li, et al. ∙

research

∙ 05/10/2021

AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference

This paper presents AppealNet, a novel edge/cloud collaborative architec...

5 Min Li, et al. ∙

research

∙ 04/29/2021

EPP-Net: Extreme-Point-Prediction-Based Object Detection

Object detection can be regarded as a pixel clustering task, and its bou...

21 Yang Yang, et al. ∙

research

∙ 04/21/2021

Skimming and Scanning for Untrimmed Video Action Recognition

Video action recognition (VAR) is a primary task of video understanding,...

5 Yunyan Hong, et al. ∙

research

∙ 04/16/2021

A Survey on Fundamental Limits of Integrated Sensing and Communication

The integrated sensing and communication (ISAC), in which the sensing an...

0 An Liu, et al. ∙

research

∙ 01/29/2021

BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions

Motivation: Exploring drug-protein interactions (DPIs) work as a pivotal...

11 Yifan Wu, et al. ∙

research

∙ 11/17/2020

KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System

Compared with CrossWOZ (Chinese) and MultiWOZ (English) dataset which ha...

1 Hongru Wang, et al. ∙

research

∙ 10/20/2020

a-Tucker: Input-Adaptive and Matricization-Free Tucker Decomposition for Dense Tensors on CPUs and GPUs

Tucker decomposition is one of the most popular models for analyzing and...

11 Min Li, et al. ∙

research

∙ 09/21/2020

DeepDyve: Dynamic Verification for Deep Neural Networks

Deep neural networks (DNNs) have become one of the enabling technologies...

9 Yu Li, et al. ∙

research

∙ 07/03/2020

Joint Beam Training and Data Transmission Design for Covert Millimeter-Wave Communication

Covert communication prevents legitimate transmission from being detecte...

0 Jiayu Zhang, et al. ∙

research

∙ 06/30/2020

Adaptive SpMV/SpMSpV on GPUs for Input Vectors of Varied Sparsity

Despite numerous efforts for optimizing the performance of Sparse Matrix...

0 Min Li, et al. ∙

research

∙ 05/03/2020

Robust Adaptive Beam Tracking for Mobile Millimetre Wave Communications

Millimetre wave (mmWave) beam tracking is a challenging task because tra...

0 Chunshan Liu, et al. ∙

research

∙ 05/03/2020

Millimeter-Wave Beam Search with Iterative Deactivation and Beam Shifting

Millimeter Wave (mmWave) communications rely on highly directional beams...

0 Chunshan Liu, et al. ∙

research

∙ 04/10/2020

Numerical methods for stochastic Volterra integral equations with weakly singular kernels

In this paper, we first establish the existence, uniqueness and Hölder c...

0 Min Li, et al. ∙

research

∙ 04/06/2020

Efficient Alternating Least Squares Algorithms for Truncated HOSVD of Higher-Order Tensors

The truncated Tucker decomposition, also known as the truncated higher-o...

0 Chuanfu Xiao, et al. ∙

research

∙ 01/18/2020

Multi-View Photometric Stereo: A Robust Solution and Benchmark Dataset for Spatially Varying Isotropic Materials

We present a method to capture both 3D shape and spatially varying refle...

2 Min Li, et al. ∙

research

∙ 12/06/2018

On Configurable Defense against Adversarial Example Attacks

Machine learning systems based on deep neural networks (DNNs) have gaine...

0 Bo Luo, et al. ∙

research

∙ 12/03/2018

Explore and Learn: Optimized Two-Stage Search for Millimeter-Wave Beam Alignment

Swift and accurate alignment of transmitter (Tx) and receiver (Rx) beams...

0 Min Li, et al. ∙

research

∙ 11/17/2015

Identifying the Absorption Bump with Deep Learning

The pervasive interstellar dust grains provide significant insights to u...

0 Min Li, et al. ∙

Min Li

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