b'Zhe Liu'

research

∙ 09/12/2023

Recovering from Privacy-Preserving Masking with Large Language Models

Model adaptation is crucial to handle the discrepancy between proxy trai...

0 Arpita Vats, et al. ∙

research

∙ 09/07/2023

Sparse Federated Training of Object Detection in the Internet of Vehicles

As an essential component part of the Intelligent Transportation System ...

0 Luping Rao, et al. ∙

research

∙ 09/05/2023

Diffusion-based 3D Object Detection with Random Boxes

3D object detection is an essential task for achieving autonomous drivin...

0 Xin Zhou, et al. ∙

research

∙ 09/01/2023

Contextual Biasing of Named-Entities with Large Language Models

This paper studies contextual biasing with Large Language Models (LLMs),...

0 Chuanneng Sun, et al. ∙

research

∙ 08/16/2023

OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis

Ultrasound (US) imaging is indispensable in clinical practice. To diagno...

0 Han Zhou, et al. ∙

research

∙ 08/10/2023

RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation

Robust estimation is a crucial and still challenging task, which involve...

0 Chang Nie, et al. ∙

research

∙ 06/20/2023

End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization

Robot localization using a previously built map is essential for a varie...

0 Guangming Wang, et al. ∙

research

∙ 06/04/2023

SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model

With the development of large language models, many remarkable linguisti...

0 Dingyuan Zhang, et al. ∙

research

∙ 05/29/2023

E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition

Most named entity recognition (NER) systems focus on improving model per...

0 Zhen Zhang, et al. ∙

research

∙ 05/12/2023

Multi-Modal 3D Object Detection by Box Matching

Multi-modal 3D object detection has received growing attention as the in...

0 Zhe Liu, et al. ∙

research

∙ 05/02/2023

Touch and deformation perception of soft manipulators with capacitive e-skins and deep learning

Tactile sensing in soft robots remains particularly challenging because ...

0 Delin Hu, et al. ∙

research

∙ 04/04/2023

RARE: Robust Masked Graph Autoencoder

Masked graph autoencoder (MGAE) has emerged as a promising self-supervis...

0 Wenxuan Tu, et al. ∙

research

∙ 03/22/2023

RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration

Although point cloud registration has achieved remarkable advances in ob...

0 Jiuming Liu, et al. ∙

research

∙ 03/10/2023

Mode-locking Theory for Long-Range Interaction in Artificial Neural Networks

Visual long-range interaction refers to modeling dependencies between di...

0 Xiuxiu Bai, et al. ∙

research

∙ 03/09/2023

DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection

In this paper, we present a simple yet effective semi-supervised 3D obje...

0 Jingyu Li, et al. ∙

research

∙ 03/01/2023

Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning

Open-World Compositional Zero-Shot Learning (OW-CZSL) aims to recognize ...

7 Yun Li, et al. ∙

research

∙ 02/27/2023

Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic

Website fingerprinting attack is an extensively studied technique used i...

0 Guodong Huang, et al. ∙

research

∙ 01/04/2023

StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection

In this paper, we propose a cross-modal distillation method named Stereo...

0 Zhe Liu, et al. ∙

research

∙ 12/19/2022

Semantics-Aware Remote Estimation via Information Bottleneck-Inspired Type Based Multiple Access

Type-based multiple access (TBMA) is a semantics-aware multiple access p...

0 Meiyi Zhu, et al. ∙

research

∙ 12/09/2022

Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing

Automated GUI testing is widely used to help ensure the quality of mobil...

0 Zhe Liu, et al. ∙

research

∙ 12/08/2022

The Metamorphosis: Automatic Detection of Scaling Issues for Mobile Apps

As the bridge between users and software, Graphical User Interface (GUI)...

0 Yuhui Su, et al. ∙

research

∙ 11/22/2022

High-Throughput GPU Implementation of Dilithium Post-Quantum Digital Signature

In this work, we present a well-optimized GPU implementation of Dilithiu...

0 Shiyu Shen, et al. ∙

research

∙ 11/10/2022

Semantic Learning and Emulation Based Cross-platform Binary Vulnerability Seeker

Clone detection is widely exploited for software vulnerability search. T...

0 Jian Gao, et al. ∙

research

∙ 11/09/2022

Adaptive Multi-Corpora Language Model Training for Speech Recognition

Neural network language model (NNLM) plays an essential role in automati...

0 Yingyi Ma, et al. ∙

research

∙ 11/08/2022

Hilbert Distillation for Cross-Dimensionality Networks

3D convolutional neural networks have revealed superior performance in p...

0 Dian Qin, et al. ∙

research

∙ 11/05/2022

Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning

The task of Compositional Zero-Shot Learning (CZSL) is to recognize imag...

0 Zhe Liu, et al. ∙

research

∙ 10/13/2022

Mitigating Unintended Memorization in Language Models via Alternating Teaching

Recent research has shown that language models have a tendency to memori...

0 Zhe Liu, et al. ∙

research

∙ 10/04/2022

Group Personalized Federated Learning

Federated learning (FL) can help promote data privacy by training a shar...

0 Zhe Liu, et al. ∙

research

∙ 09/07/2022

Modeling Dependent Structure for Utterances in ASR Evaluation

The bootstrap resampling method has been popular for performing signific...

0 Zhe Liu, et al. ∙

research

∙ 09/05/2022

PromptAttack: Prompt-based Attack for Language Models via Gradient Search

As the pre-trained language models (PLMs) continue to grow, so do the ha...

1 Yundi Shi, et al. ∙

research

∙ 08/01/2022

Learning to Navigate using Visual Sensor Networks

We consider the problem of navigating a mobile robot towards a target in...

5 Jan Blumenkamp, et al. ∙

research

∙ 07/19/2022

What Matters for 3D Scene Flow Network

3D scene flow estimation from point clouds is a low-level 3D motion perc...

0 Guangming Wang, et al. ∙

research

∙ 06/02/2022

SparseDet: Towards End-to-End 3D Object Detection

In this paper, we propose SparseDet for end-to-end 3D object detection f...

0 Jianhong Han, et al. ∙

research

∙ 05/27/2022

NaviDroid: A Tool for Guiding Manual Android Testing via Hint Moves

Manual testing, as a complement to automated GUI testing, is the last li...

0 Zhe Liu, et al. ∙

research

∙ 05/27/2022

Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding

Graphical User Interface (GUI) provides a visual bridge between a softwa...

0 Zhe Liu, et al. ∙

research

∙ 05/20/2022

Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks

Artificial neural networks have realized incredible successes at image r...

0 Xiuxiu Bai, et al. ∙

research

∙ 05/20/2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection

Deep graph learning has achieved remarkable progresses in both business ...

0 Bingzhe Wu, et al. ∙

research

∙ 05/03/2022

Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis

EEG-based tinnitus classification is a valuable tool for tinnitus diagno...

0 Zhe Liu, et al. ∙

research

∙ 05/03/2022

Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus

With the development of digital technology, machine learning has paved t...

0 Yun Li, et al. ∙

research

∙ 04/04/2022

FedSynth: Gradient Compression via Synthetic Data in Federated Learning

Model compression is important in federated learning (FL) with large mod...

6 Shengyuan Hu, et al. ∙

research

∙ 01/28/2022

Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves

Mobile apps are indispensable for people's daily life. Complementing wit...

0 Zhe Liu, et al. ∙

research

∙ 01/28/2022

Neural-FST Class Language Model for End-to-End Speech Recognition

We propose Neural-FST Class Language Model (NFCLM) for end-to-end speech...

0 Antoine Bruguier, et al. ∙

research

∙ 01/06/2022

Balancing Generalization and Specialization in Zero-shot Learning

Zero-Shot Learning (ZSL) aims to transfer classification capability from...

0 Yun Li, et al. ∙

research

∙ 12/21/2021

EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection

Recently, fusing the LiDAR point cloud and camera image to improve the p...

0 Zhe Liu, et al. ∙

research

∙ 12/09/2021

PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis

Learning intra-region contexts and inter-region relations are two effect...

0 Silin Cheng, et al. ∙

research

∙ 12/06/2021

3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video

Depth and ego-motion estimations are essential for the localization and ...

0 Guangming Wang, et al. ∙

research

∙ 12/01/2021

Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning

Current approaches to Zero-Shot Learning (ZSL) struggle to learn general...

0 Zhe Liu, et al. ∙

research

∙ 11/03/2021

An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning

Zero-Shot Learning (ZSL) aims to transfer learned knowledge from observe...

0 Yun Li, et al. ∙

research

∙ 11/03/2021

Efficient 3D Deep LiDAR Odometry

An efficient 3D point cloud learning architecture, named PWCLO-Net, for ...

12 Guangming Wang, et al. ∙

research

∙ 10/08/2021

Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up

While halide perovskites attract significant academic attention, example...

0 Rishi E. Kumar, et al. ∙

Zhe Liu

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