Xinyang Zhang | DeepAI

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Featured Co-authors

Yu Zhang
377 publications
Zheng Zhang
182 publications
Jiawei Han
135 publications
Ting Wang
80 publications
Shouling Ji
71 publications
Yevgeniy Vorobeychik
70 publications
Qi Zhu
69 publications
Jingbo Shang
57 publications
Xiapu Luo
50 publications
Xian Li
49 publications
Baishakhi Ray
49 publications

∙ 05/20/2023

Patton: Language Model Pretraining on Text-Rich Networks

A real-world text corpus sometimes comprises not only text documents but...

0 Bowen Jin, et al. ∙

∙ 01/01/2023

Federated Learning with Client-Exclusive Classes

Existing federated classification algorithms typically assume the local ...

0 Jiayun Zhang, et al. ∙

∙ 09/15/2022

TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations

We present TwHIN-BERT, a multilingual language model trained on in-domai...

0 Xinyang Zhang, et al. ∙

∙ 04/29/2022

OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision

Automatic extraction of product attributes from their textual descriptio...

9 Xinyang Zhang, et al. ∙

∙ 09/14/2021

Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving

Autonomous driving (AD) systems have been thriving in recent years. In g...

0 Ziyuan Zhong, et al. ∙

∙ 02/23/2021

Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks

Text categorization is an essential task in Web content analysis. Consid...

0 Xinyang Zhang, et al. ∙

∙ 01/22/2021

i-Algebra: Towards Interactive Interpretability of Deep Neural Networks

Providing explanations for deep neural networks (DNNs) is essential for ...

25 Xinyang Zhang, et al. ∙

∙ 08/01/2020

Trojaning Language Models for Fun and Profit

Recent years have witnessed a new paradigm of building natural language ...

0 Xinyang Zhang, et al. ∙

∙ 06/16/2020

AdvMind: Inferring Adversary Intent of Black-Box Attacks

Deep neural networks (DNNs) are inherently susceptible to adversarial at...

0 Ren Pang, et al. ∙

∙ 01/01/2020

Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction

Recent years have witnessed tremendous interest in understanding and pre...

0 Aravind Sankar, et al. ∙

∙ 11/05/2019

The Tale of Evil Twins: Adversarial Inputs versus Backdoored Models

Despite their tremendous success in a wide range of applications, deep n...

6 Ren Pang, et al. ∙

∙ 12/03/2018

Interpretable Deep Learning under Fire

Providing explanations for complicated deep neural network (DNN) models ...

0 Xinyang Zhang, et al. ∙

∙ 12/02/2018

Model-Reuse Attacks on Deep Learning Systems

Many of today's machine learning (ML) systems are built by reusing an ar...

0 Yujie Ji, et al. ∙

∙ 08/01/2018

EagleEye: Attack-Agnostic Defense against Adversarial Inputs (Technical Report)

Deep neural networks (DNNs) are inherently vulnerable to adversarial inp...

0 Yujie Ji, et al. ∙

∙ 01/05/2018

Differentially Private Releasing via Deep Generative Model

Privacy-preserving releasing of complex data (e.g., image, text, audio) ...

0 Xinyang Zhang, et al. ∙

∙ 08/25/2017

Modular Learning Component Attacks: Today's Reality, Tomorrow's Challenge

Many of today's machine learning (ML) systems are not built from scratch...

0 Xinyang Zhang, et al. ∙