b'Cen Chen'

research

∙ 09/18/2023

Online Efficient Secure Logistic Regression based on Function Secret Sharing

Logistic regression is an algorithm widely used for binary classificatio...

0 Jing Liu, et al. ∙

research

∙ 09/11/2023

PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud

Text-to-image synthesis for the Chinese language poses unique challenges...

0 Chengyu Wang, et al. ∙

research

∙ 08/29/2023

TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification

Text classification is one of the most imperative tasks in natural langu...

0 Jianing Wang, et al. ∙

research

∙ 08/07/2023

DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis

In recent years, diffusion models have emerged as the most powerful appr...

0 Zhongjie Duan, et al. ∙

research

∙ 07/31/2023

On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey

Diffusion models and large language models have emerged as leading-edge ...

0 Mingyuan Fan, et al. ∙

research

∙ 07/19/2023

CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation

We study the task of weakly-supervised point cloud semantic segmentation...

0 Lizhao Liu, et al. ∙

research

∙ 07/16/2023

On the Robustness of Split Learning against Adversarial Attacks

Split learning enables collaborative deep learning model training while ...

0 Mingyuan Fan, et al. ∙

research

∙ 05/24/2023

Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models

In recent years, diffusion models have become the most popular and power...

0 Zhongjie Duan, et al. ∙

research

∙ 04/04/2023

SLPerf: a Unified Framework for Benchmarking Split Learning

Data privacy concerns has made centralized training of data, which is sc...

0 Tianchen Zhou, et al. ∙

research

∙ 12/05/2022

Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning

Federated Learning (FL) is pervasive in privacy-focused IoT environments...

0 Mingyuan Fan, et al. ∙

research

∙ 08/13/2022

MaskBlock: Transferable Adversarial Examples with Bayes Approach

The transferability of adversarial examples (AEs) across diverse models ...

0 Mingyuan Fan, et al. ∙

research

∙ 07/04/2022

A Customised Text Privatisation Mechanism with Differential Privacy

In Natural Language Understanding (NLU) applications, training an effect...

0 Huimin Chen, et al. ∙

research

∙ 05/27/2022

Understanding Long Programming Languages with Structure-Aware Sparse Attention

Programming-based Pre-trained Language Models (PPLMs) such as CodeBERT h...

0 Tingting Liu, et al. ∙

research

∙ 11/02/2021

Practical and Light-weight Secure Aggregation for Federated Submodel Learning

Recently, Niu, et. al. introduced a new variant of Federated Learning (F...

0 Jamie Cui, et al. ∙

research

∙ 06/24/2021

Privacy Threats Analysis to Secure Federated Learning

Federated learning is emerging as a machine learning technique that trai...

6 Yuchen Li, et al. ∙

research

∙ 03/03/2021

Weakly-Supervised Open-Retrieval Conversational Question Answering

Recent studies on Question Answering (QA) and Conversational QA (ConvQA)...

1 Chen Qu, et al. ∙

research

∙ 01/22/2021

DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation

Image segmentation is one of the most essential biomedical image process...

17 Ziyuan Zhao, et al. ∙

research

∙ 12/17/2020

Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design

Deep Neural Networks (DNNs) have achieved remarkable progress in various...

0 Chaochao Chen, et al. ∙

research

∙ 11/25/2020

Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations

Intelligent personal assistant systems for information-seeking conversat...

8 Haojie Pan, et al. ∙

research

∙ 11/23/2020

Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty

Federated learning (FL) has attracted increasing attention in recent yea...

0 Yilun Lin, et al. ∙

research

∙ 11/18/2020

EasyTransfer – A Simple and Scalable Deep Transfer Learning Platform for NLP Applications

The literature has witnessed the success of applying deep Transfer Learn...

63 Minghui Qiu, et al. ∙

research

∙ 11/14/2020

A Theoretical Perspective on Differentially Private Federated Multi-task Learning

In the era of big data, the need to expand the amount of data through da...

0 Huiwen Wu, et al. ∙

research

∙ 09/24/2020

Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy

The success of machine learning algorithms often relies on a large amoun...

0 Bin Zhang, et al. ∙

research

∙ 09/04/2020

A Comprehensive Analysis of Information Leakage in Deep Transfer Learning

Transfer learning is widely used for transferring knowledge from a sourc...

0 Cen Chen, et al. ∙

research

∙ 05/29/2020

A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection

Structural damage detection has become an interdisciplinary area of inte...

0 Jianxi Yang, et al. ∙

research

∙ 05/22/2020

Open-Retrieval Conversational Question Answering

Conversational search is one of the ultimate goals of information retrie...

0 Chen Qu, et al. ∙

research

∙ 05/13/2020

End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization

ROUGE is the de facto criterion for summarization research. However, its...

0 Forrest Sheng Bao, et al. ∙

research

∙ 03/05/2020

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance

The insurance industry has been creating innovative products around the ...

17 Cen Chen, et al. ∙

research

∙ 02/03/2020

IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems

Personal assistant systems, such as Apple Siri, Google Assistant, Amazon...

0 Liu Yang, et al. ∙

research

∙ 10/05/2019

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics

Bayesian deep learning is recently regarded as an intrinsic way to chara...

0 Bingzhe Wu, et al. ∙

research

∙ 08/26/2019

Attentive History Selection for Conversational Question Answering

Conversational question answering (ConvQA) is a simplified but concrete ...

0 Chen Qu, et al. ∙

research

∙ 06/18/2019

TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial

With the explosive growth of e-commerce and the booming of e-payment, de...

0 Shaosheng Cao, et al. ∙

research

∙ 03/12/2019

Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation

Segmentation stands at the forefront of many high-level vision tasks. In...

0 Ziyuan Zhao, et al. ∙

research

∙ 08/29/2018

Review Helpfulness Prediction with Embedding-Gated CNN

Product reviews, in the form of texts dominantly, significantly help con...

0 Cen Chen, et al. ∙

research

∙ 11/03/2017

PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI)

We present PS-DBSCAN, a communication efficient parallel DBSCAN algorith...

0 Xu Hu, et al. ∙

research

∙ 05/26/2017

Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge

We present a deep learning framework for computer-aided lung cancer diag...

0 Kingsley Kuan, et al. ∙

Cen Chen

Featured Co-authors