Xinyu Liu | DeepAI

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Yang Wang
233 publications
Hao Li
205 publications
Zhou Yu
127 publications
Jimmy Lin
120 publications
Shuang Li
106 publications
Han Hu
106 publications
Haoyu Wang
104 publications
Yu Wu
98 publications
Ye Wang
89 publications
Peng Chen
79 publications
Jie Shen
67 publications

∙ 07/16/2023

S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality

Due to the lack of real multi-agent data and time-consuming of labeling,...

0 Jinlong Li, et al. ∙

∙ 06/27/2023

Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos

To realize human-robot collaboration, robots need to execute actions for...

0 Chiori Hori, et al. ∙

∙ 06/26/2023

Deep Transfer Learning for Intelligent Vehicle Perception: a Survey

Deep learning-based intelligent vehicle perception has been developing p...

0 Xinyu Liu, et al. ∙

∙ 06/24/2023

Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations

While state-of-the-art NLP models have demonstrated excellent performanc...

0 Xinyu Liu, et al. ∙

∙ 05/11/2023

EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention

Vision transformers have shown great success due to their high model cap...

0 Xinyu Liu, et al. ∙

∙ 01/07/2023

An efficient and robust SAV based algorithm for discrete gradient systems arising from optimizations

We propose in this paper a new minimization algorithm based on a slightl...

0 Xinyu Liu, et al. ∙

∙ 12/16/2022

Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication

Deep learning has been widely used in the perception (e.g., 3D object de...

0 Jinlong Li, et al. ∙

∙ 12/07/2022

Artificial Intelligence Security Competition (AISC)

The security of artificial intelligence (AI) is an important research ar...

12 Yinpeng Dong, et al. ∙

∙ 07/06/2022

WE model: A Machine Learning Model Based on Data-Driven Movie Derivatives Market Prediction

The mature development and the extension of the industry chain make the ...

0 Yaoyao Ding, et al. ∙

∙ 04/06/2022

Towards Robust Adaptive Object Detection under Noisy Annotations

Domain Adaptive Object Detection (DAOD) models a joint distribution of i...

0 Xinyu Liu, et al. ∙

∙ 03/12/2022

SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection

Domain Adaptive Object Detection (DAOD) leverages a labeled domain to le...

9 Wuyang Li, et al. ∙

∙ 01/24/2022

Neural Architecture Searching for Facial Attributes-based Depression Recognition

Recent studies show that depression can be partially reflected from huma...

0 Mingzhe Chen, et al. ∙

∙ 10/24/2021

Exploring Gradient Flow Based Saliency for DNN Model Compression

Model pruning aims to reduce the deep neural network (DNN) model size or...

0 Xinyu Liu, et al. ∙

∙ 10/14/2021

Understanding the Evolution of Blockchain Ecosystems: A Longitudinal Measurement Study of Bitcoin, Ethereum, and EOSIO

The continuing expansion of the blockchain ecosystems has attracted much...

0 Ningyu He, et al. ∙

∙ 10/11/2021

Generalizing to New Domains by Mapping Natural Language to Lifted LTL

Recent work on using natural language to specify commands to robots has ...

0 Eric Hsiung, et al. ∙

∙ 09/07/2021

Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud

Understanding the predictions made by machine learning (ML) models and t...

30 Michaela Hardt, et al. ∙

∙ 07/08/2021

3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image

In this paper, a 3D-RegNet-based neural network is proposed for diagnosi...

0 Haibo Qi, et al. ∙

∙ 05/20/2021

Testing DBMS Performance with Mutations

Because database systems are the critical component of modern data-inten...

0 Xinyu Liu, et al. ∙

∙ 04/12/2021

Ethereum Name Service: the Good, the Bad, and the Ugly

DNS has always been criticized for its inherent design flaws, making the...

0 Pengcheng Xia, et al. ∙

∙ 04/28/2020

Showing Your Work Doesn't Always Work

In natural language processing, a recently popular line of work explores...

0 Raphael Tang, et al. ∙

∙ 03/22/2020

TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks

Lightweight or mobile neural networks used for real-time computer vision...

9 Xinyu Liu, et al. ∙

∙ 03/22/2020

Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology

The widespread popularity of unmanned aerial vehicles enables an immense...

8 Xinyu Liu, et al. ∙

∙ 11/05/2019

Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs

This paper studies an unsupervised deep learning-based numerical approac...

23 Zhiqiang Cai, et al. ∙

∙ 01/31/2019

Learning Efficient Lexically-Constrained Neural Machine Translation with External Memory

Recent years has witnessed dramatic progress of neural machine translati...

0 Ya Li, et al. ∙

∙ 11/01/2018

Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data

We propose a nested recurrent neural network (nested RNN) model for Engl...

0 Hao Li, et al. ∙

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