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Wei Wang
492 publications
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242 publications
Jie Chen
218 publications
Ang Li
174 publications
Jian Wang
164 publications
Long Chen
127 publications
Xuanjing Huang
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Lei Wang
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Heng Tao Shen
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∙ 07/25/2023

Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering

Differential privacy is a widely accepted measure of privacy in the cont...

0 Ce Feng, et al. ∙

∙ 06/27/2023

PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment

Two-party computation (2PC) is promising to enable privacy-preserving de...

0 Hongwu Peng, et al. ∙

∙ 05/25/2023

MERGE: Fast Private Text Generation

Recent years have seen increasing concerns about the private inference o...

0 Zi Liang, et al. ∙

∙ 04/24/2023

Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration

Biologically inspired Spiking Neural Networks (SNNs) have attracted sign...

23 Shaoyi Huang, et al. ∙

∙ 04/24/2023

PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysis

Document layout analysis has a wide range of requirements across various...

0 Shu Wei, et al. ∙

∙ 03/18/2023

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

GPT series models, such as GPT-3, CodeX, InstructGPT, ChatGPT, and so on...

0 Junjie Ye, et al. ∙

∙ 03/01/2023

How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks

The GPT-3.5 models have demonstrated impressive performance in various N...

0 Xuanting Chen, et al. ∙

∙ 02/05/2023

RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference

The proliferation of deep learning (DL) has led to the emergence of priv...

0 Hongwu Peng, et al. ∙

∙ 09/24/2022

CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference

Recently cloud-based graph convolutional network (GCN) has demonstrated ...

11 Ran Ran, et al. ∙

∙ 09/20/2022

PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference

The rapid growth and deployment of deep learning (DL) has witnessed emer...

7 Hongwu Peng, et al. ∙

∙ 09/07/2022

Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples

Spiking neural networks (SNNs) have attracted much attention for their h...

0 Nuo Xu, et al. ∙

∙ 06/11/2022

NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks

Membership inference attacks (MIAs) against machine learning models can ...

0 Nuo Xu, et al. ∙

∙ 01/16/2021

Adaptive Remote Sensing Image Attribute Learning for Active Object Detection

In recent years, deep learning methods bring incredible progress to the ...

0 Nuo Xu, et al. ∙

∙ 12/15/2020

Learning to Check Contract Inconsistencies

Contract consistency is important in ensuring the legal validity of the ...

0 Shuo Zhang, et al. ∙

∙ 05/06/2020

Learning Architectures from an Extended Search Space for Language Modeling

Neural architecture search (NAS) has advanced significantly in recent ye...

0 Yinqiao Li, et al. ∙

∙ 04/06/2020

Distinguish Confusing Law Articles for Legal Judgment Prediction

Legal Judgment Prediction (LJP) is the task of automatically predicting ...

9 Nuo Xu, et al. ∙

∙ 05/23/2019

MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions

Predicting interactions between structured entities lies at the core of ...

0 Nuo Xu, et al. ∙

∙ 08/22/2018

The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers

Automatically solving mathematical word problems (MWPs) is challenging, ...

0 Dongxiang Zhang, et al. ∙

∙ 04/21/2014

GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model

Central to robot exploration and mapping is the task of persistent local...

0 Nuo Xu, et al. ∙

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