b'Liang Li'

research

∙ 05/30/2023

An absolutely convergent fixed-point fast sweeping WENO method on triangular meshes for steady state of hyperbolic conservation laws

High order fast sweeping methods for efficiently solving steady state so...

0 Liang Li, et al. ∙

research

∙ 03/21/2023

Protective Self-Adaptive Pruning to Better Compress DNNs

Adaptive network pruning approach has recently drawn significant attenti...

0 Liang Li, et al. ∙

research

∙ 03/06/2023

Neighborhood Contrastive Transformer for Change Captioning

Change captioning is to describe the semantic change between a pair of s...

0 Yunbin Tu, et al. ∙

research

∙ 03/04/2023

Age of Information of CSMA/CA Based Wireless Networks

We consider a wireless network where N nodes compete for a shared channe...

0 Liang Li, et al. ∙

research

∙ 12/16/2022

Hard Sample Aware Network for Contrastive Deep Graph Clustering

Contrastive deep graph clustering, which aims to divide nodes into disjo...

0 Yue Liu, et al. ∙

research

∙ 12/03/2022

Make RepVGG Greater Again: A Quantization-aware Approach

The tradeoff between performance and inference speed is critical for pra...

0 Xiangxiang Chu, et al. ∙

research

∙ 11/27/2022

BEV-Locator: An End-to-end Visual Semantic Localization Network Using Multi-View Images

Accurate localization ability is fundamental in autonomous driving. Trad...

0 Zhihuang Zhang, et al. ∙

research

∙ 09/15/2022

Graph-to-Text Generation with Dynamic Structure Pruning

Most graph-to-text works are built on the encoder-decoder framework with...

16 Liang Li, et al. ∙

research

∙ 09/07/2022

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

For years, the YOLO series has been the de facto industry-level standard...

0 Chuyi Li, et al. ∙

research

∙ 08/15/2022

Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation

Federated learning (FL) enables mobile devices to collaboratively learn ...

14 Liang Li, et al. ∙

research

∙ 07/18/2022

Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding

Weakly supervised Referring Expression Grounding (REG) aims to ground a ...

0 Xuejing Liu, et al. ∙

research

∙ 07/16/2022

Model order reduction for parameterized electromagnetic problems using matrix decomposition and deep neural networks

A non-intrusive model order reduction (MOR) method for solving parameter...

0 Xiao-Feng He, et al. ∙

research

∙ 07/13/2022

DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning

Self-supervised learning (SSL) has achieved promising downstream perform...

0 Shaoru Wang, et al. ∙

research

∙ 07/13/2022

Multiple Kernel Clustering with Dual Noise Minimization

Clustering is a representative unsupervised method widely applied in mul...

33 Junpu Zhang, et al. ∙

research

∙ 07/09/2022

Adaptive Structural Similarity Preserving for Unsupervised Cross Modal Hashing

Cross-modal hashing is an important approach for multimodal data managem...

0 Liang Li, et al. ∙

research

∙ 07/05/2022

Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph

Multiple kernel clustering (MKC) is committed to achieving optimal infor...

0 Liang Li, et al. ∙

research

∙ 05/31/2022

Automatic Relation-aware Graph Network Proliferation

Graph neural architecture search has sparked much attention as Graph Neu...

0 Shaofei Cai, et al. ∙

research

∙ 04/25/2022

Adaptive actuation of magnetic soft robots using deep reinforcement learning

Magnetic soft robots have attracted growing interest due to their unique...

0 Jianpeng Yao, et al. ∙

research

∙ 04/02/2022

Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency

In recent years, creative content generations like style transfer and ne...

0 Zhenhuan Liu, et al. ∙

research

∙ 04/02/2022

IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning

Conditional image generation is an active research topic including text2...

0 Zhenhuan Liu, et al. ∙

research

∙ 03/20/2022

Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation

Open-vocabulary object detection aims to detect novel object categories ...

9 Zongyang Ma, et al. ∙

research

∙ 03/06/2022

Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment

Training a generative adversarial network (GAN) with limited data has be...

0 Jiayu Xiao, et al. ∙

research

∙ 03/03/2022

Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-Identification

RGB-infrared person re-identification is an emerging cross-modality re-i...

0 Zhipeng Huang, et al. ∙

research

∙ 03/03/2022

Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification

Generalizable person re-identification aims to learn a model with only s...

0 Jiawei Liu, et al. ∙

research

∙ 03/01/2022

Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation

Recently CKY-based models show great potential in unsupervised grammar i...

0 Xiang Hu, et al. ∙

research

∙ 12/31/2021

Complex contraction on trees without proof of correlation decay

We prove complex contraction for zero-free regions of counting weighted ...

0 Liang Li, et al. ∙

research

∙ 11/27/2021

Calibrated Feature Decomposition for Generalizable Person Re-Identification

Existing disentangled-based methods for generalizable person re-identifi...

4 Kecheng Zheng, et al. ∙

research

∙ 10/20/2021

R^3Net:Relation-embedded Representation Reconstruction Network for Change Captioning

Change captioning is to use a natural language sentence to describe the ...

0 Yunbin Tu, et al. ∙

research

∙ 10/15/2021

Stability and dynamical transition of a electrically conducting rotating fluid

In this article, we aim to study the stability and dynamic transition of...

0 Liang Li, et al. ∙

research

∙ 09/03/2021

Edge-featured Graph Neural Architecture Search

Graph neural networks (GNNs) have been successfully applied to learning ...

0 Shaofei Cai, et al. ∙

research

∙ 08/26/2021

Multi-Modulation Network for Audio-Visual Event Localization

We study the problem of localizing audio-visual events that are both aud...

15 Hao Wang, et al. ∙

research

∙ 07/13/2021

Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation

Due to the domain discrepancy in visual domain adaptation, the performan...

0 Shuhao Cui, et al. ∙

research

∙ 05/26/2021

TreeBERT: A Tree-Based Pre-Trained Model for Programming Language

Source code can be parsed into the abstract syntax tree (AST) based on d...

0 Xue Jiang, et al. ∙

research

∙ 05/25/2021

Improving Machine Learning-Based Modeling of Semiconductor Devices by Data Self-Augmentation

In the electronics industry, introducing Machine Learning (ML)-based tec...

0 Zeheng Wang, et al. ∙

research

∙ 04/20/2021

Comparing Representations in Tracking for Event Camera-based SLAM

This paper investigates two typical image-type representations for event...

0 Jianhao Jiao, et al. ∙

research

∙ 03/26/2021

Rethinking Graph Neural Network Search from Message-passing

Graph neural networks (GNNs) emerged recently as a standard toolkit for ...

0 Shaofei Cai, et al. ∙

research

∙ 03/23/2021

Non-intrusive reduced order modeling of parametric electromagnetic scattering problems through Gaussian process regression

This paper is concerned with the design of a non-intrusive model order r...

0 Ying Zhao, et al. ∙

research

∙ 01/13/2021

Towards Energy Efficient Federated Learning over 5G+ Mobile Devices

The continuous convergence of machine learning algorithms, 5G and beyond...

0 Dian Shi, et al. ∙

research

∙ 12/22/2020

To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices

Recent advances in machine learning, wireless communication, and mobile ...

0 Liang Li, et al. ∙

research

∙ 12/21/2020

To Talk or to Work: Energy Efficient Federated Learning over Mobile Devices via the Weight Quantization and 5G Transmission Co-Design

Federated learning (FL) is a new paradigm for large-scale learning tasks...

0 Rui Chen, et al. ∙

research

∙ 10/15/2020

Learning Better Representation for Tables by Self-Supervised Tasks

Table-to-text generation aims at automatically generating natural text t...

0 Liang Li, et al. ∙

research

∙ 10/15/2020

TDRE: A Tensor Decomposition Based Approach for Relation Extraction

Extracting entity pairs along with relation types from unstructured text...

0 Bin-Bin Zhao, et al. ∙

research

∙ 10/10/2020

Selective Information Passing for MR/CT Image Segmentation

Automated medical image segmentation plays an important role in many cli...

8 Qikui Zhu, et al. ∙

research

∙ 06/23/2020

Artificial Lateral Line Based Relative State Estimation for Two Adjacent Robotic Fish

The lateral line enables fish to efficiently sense the surrounding envir...

0 Xingwen Zheng, et al. ∙

research

∙ 06/21/2020

Absolutely convergent fixed-point fast sweeping WENO methods for steady state of hyperbolic conservation laws

Fixed-point iterative sweeping methods were developed in the literature ...

0 Liang Li, et al. ∙

research

∙ 05/11/2020

Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments

Action and observation delays exist prevalently in the real-world cyber-...

0 Baiming Chen, et al. ∙

research

∙ 05/11/2020

Delay-Aware Model-Based Reinforcement Learning for Continuous Control

Action delays degrade the performance of reinforcement learning in many ...

0 Baiming Chen, et al. ∙

research

∙ 04/14/2020

Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios

Autonomous vehicles must be comprehensively evaluated before deployed in...

8 Baiming Chen, et al. ∙

research

∙ 04/10/2020

Parsing-based View-aware Embedding Network for Vehicle Re-Identification

Vehicle Re-Identification is to find images of the same vehicle from var...

0 Dechao Meng, et al. ∙

research

∙ 04/10/2020

State-Relabeling Adversarial Active Learning

Active learning is to design label-efficient algorithms by sampling the ...

0 Beichen Zhang, et al. ∙

Liang Li

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