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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...
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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...
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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...
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06/22/2023
Multimodal Zero-Shot Learning for Tactile Texture Recognition
Tactile sensing plays an irreplaceable role in robotic material recognit...
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06/21/2023
Fast Segment Anything
The recently proposed segment anything model (SAM) has made a significan...
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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...
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02/20/2023
TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training
Sparsely gated Mixture-of-Expert (MoE) has demonstrated its effectivenes...
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01/17/2023
Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation
To assist robots in teleoperation tasks, haptic rendering which allows h...
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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...
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10/09/2022
Coded Residual Transform for Generalizable Deep Metric Learning
A fundamental challenge in deep metric learning is the generalization ca...
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09/05/2022
Fast geometric trim fitting using partial incremental sorting and accumulation
We present an algorithmic contribution to improve the efficiency of robu...
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08/17/2022
Boosting Distributed Training Performance of the Unpadded BERT Model
Pre-training models are an important tool in Natural Language Processing...
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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...
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07/19/2022
A self-contained and self-explanatory DNA storage system
Current research on DNA storage usually focuses on the improvement of st...
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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...
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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...
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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...
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04/16/2022
FKreg: A MATLAB toolbox for fast Multivariate Kernel Regression
Kernel smooth is the most fundamental technique for data density and reg...
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11/26/2021
Testability-Aware Low Power Controller Design with Evolutionary Learning
XORNet-based low power controller is a popular technique to reduce circu...
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11/26/2021
Representation Learning of Logic Circuits
Applying deep learning (DL) techniques in the electronic design automati...
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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...
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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...
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09/07/2021
GCsT: Graph Convolutional Skeleton Transformer for Action Recognition
Graph convolutional networks (GCNs) achieve promising performance for sk...
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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...
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06/12/2021
A Pseudo Label-wise Attention Network for Automatic ICD Coding
Automatic International Classification of Diseases (ICD) coding is defin...
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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...
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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...
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04/29/2021
EPP-Net: Extreme-Point-Prediction-Based Object Detection
Object detection can be regarded as a pixel clustering task, and its bou...
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04/21/2021
Skimming and Scanning for Untrimmed Video Action Recognition
Video action recognition (VAR) is a primary task of video understanding,...
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04/16/2021
A Survey on Fundamental Limits of Integrated Sensing and Communication
The integrated sensing and communication (ISAC), in which the sensing an...
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01/29/2021
BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions
Motivation: Exploring drug-protein interactions (DPIs) work as a pivotal...
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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...
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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...
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09/21/2020
DeepDyve: Dynamic Verification for Deep Neural Networks
Deep neural networks (DNNs) have become one of the enabling technologies...
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07/03/2020
Joint Beam Training and Data Transmission Design for Covert Millimeter-Wave Communication
Covert communication prevents legitimate transmission from being detecte...
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06/30/2020
Adaptive SpMV/SpMSpV on GPUs for Input Vectors of Varied Sparsity
Despite numerous efforts for optimizing the performance of Sparse Matrix...
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05/03/2020
Robust Adaptive Beam Tracking for Mobile Millimetre Wave Communications
Millimetre wave (mmWave) beam tracking is a challenging task because tra...
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05/03/2020
Millimeter-Wave Beam Search with Iterative Deactivation and Beam Shifting
Millimeter Wave (mmWave) communications rely on highly directional beams...
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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...
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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...
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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...
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12/06/2018
On Configurable Defense against Adversarial Example Attacks
Machine learning systems based on deep neural networks (DNNs) have gaine...
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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...
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11/17/2015