b'Ting Wang'

research

∙ 05/24/2023

Generative diffusion learning for parametric partial differential equations

We develop a class of data-driven generative models that approximate the...

0 Ting Wang, et al. ∙

research

∙ 05/11/2023

SigRec: Automatic Recovery of Function Signatures in Smart Contracts

Millions of smart contracts have been deployed onto Ethereum for providi...

0 Ting Chen, et al. ∙

research

∙ 05/10/2023

Address Matching Based On Hierarchical Information

There is evidence that address matching plays a crucial role in many are...

0 Chengxian Zhang, et al. ∙

research

∙ 05/03/2023

On the Security Risks of Knowledge Graph Reasoning

Knowledge graph reasoning (KGR) – answering complex logical queries over...

0 Zhaohan Xi, et al. ∙

research

∙ 04/26/2023

A Case-Based Reasoning Framework for Adaptive Prompting in Cross-Domain Text-to-SQL

Recent advancements in Large Language Models (LLMs), such as Codex, Chat...

0 Chunxi Guo, et al. ∙

research

∙ 03/21/2023

ChatGPT and a New Academic Reality: Artificial Intelligence-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishing

This paper discusses OpenAIs ChatGPT, a generative pre-trained transform...

0 Brady Lund, et al. ∙

research

∙ 03/07/2023

A convergence analysis of a structure-preserving gradient flow method for the all-electron Kohn-Sham model

In [Dai et al, Multi. Model. Simul., 2020], a structure-preserving gradi...

0 Yedan Shen, et al. ∙

research

∙ 02/28/2023

FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases

Trojan attack on deep neural networks, also known as backdoor attack, is...

0 Chong Fu, et al. ∙

research

∙ 02/28/2023

Self-normalized, score-based tests of mixed models

Score-based tests have been used to study parameter heterogeneity across...

0 Ting Wang, et al. ∙

research

∙ 02/21/2023

AutoML in The Wild: Obstacles, Workarounds, and Expectations

Automated machine learning (AutoML) is envisioned to make ML techniques ...

0 Yuan Sun, et al. ∙

research

∙ 01/11/2023

Graph based Environment Representation for Vision-and-Language Navigation in Continuous Environments

Vision-and-Language Navigation in Continuous Environments (VLN-CE) is a ...

0 Ting Wang, et al. ∙

research

∙ 12/01/2022

All You Need Is Hashing: Defending Against Data Reconstruction Attack in Vertical Federated Learning

Vertical federated learning is a trending solution for multi-party colla...

0 Pengyu Qiu, et al. ∙

research

∙ 12/01/2022

Hijack Vertical Federated Learning Models with Adversarial Embedding

Vertical federated learning (VFL) is an emerging paradigm that enables c...

0 Pengyu Qiu, et al. ∙

research

∙ 11/14/2022

SportsTrack: An Innovative Method for Tracking Athletes in Sports Scenes

The SportsMOT competition aims to solve multiple object tracking of athl...

0 Jie Wang, et al. ∙

research

∙ 10/21/2022

Neural Architectural Backdoors

This paper asks the intriguing question: is it possible to exploit neura...

0 Ren Pang, et al. ∙

research

∙ 10/13/2022

Demystifying Self-supervised Trojan Attacks

As an emerging machine learning paradigm, self-supervised learning (SSL)...

0 Changjiang Li, et al. ∙

research

∙ 09/27/2022

Reasoning over Multi-view Knowledge Graphs

Recently, knowledge representation learning (KRL) is emerging as the sta...

0 Zhaohan Xi, et al. ∙

research

∙ 09/09/2022

Multi-Document Scientific Summarization from a Knowledge Graph-Centric View

Multi-Document Scientific Summarization (MDSS) aims to produce coherent ...

0 Pancheng Wang, et al. ∙

research

∙ 09/05/2022

"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution

Understanding the decision process of neural networks is hard. One vital...

2 Yuyou Gan, et al. ∙

research

∙ 08/13/2022

Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer

Backdoor attacks have been shown to be a serious security threat against...

2 Tong Wang, et al. ∙

research

∙ 06/28/2022

Manu: A Cloud Native Vector Database Management System

With the development of learning-based embedding models, embedding vecto...

0 Rentong Guo, et al. ∙

research

∙ 06/16/2022

Reconfigurable Intelligent Surfaces Empowered Green Wireless Networks with User Admission Control

Reconfigurable intelligent surface (RIS) has emerged as a cost-effective...

0 Jinglian He, et al. ∙

research

∙ 06/02/2022

Stochastic Deep-Ritz for Parametric Uncertainty Quantification

Scientific machine learning has become an increasingly popular tool for ...

0 Ting Wang, et al. ∙

research

∙ 05/24/2022

FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment

Along with the popularity of Artificial Intelligence (AI) and Internet-o...

10 Zhiwei Ling, et al. ∙

research

∙ 05/13/2022

A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

Few-shot learning (FSL) has emerged as an effective learning method and ...

54 Yisheng Song, et al. ∙

research

∙ 05/10/2022

Multi-agent Reinforcement Learning for Dynamic Resource Management in 6G in-X Subnetworks

The 6G network enables a subnetwork-wide evolution, resulting in a "netw...

2 Xiao Du, et al. ∙

research

∙ 05/09/2022

Model-Contrastive Learning for Backdoor Defense

Along with the popularity of Artificial Intelligence (AI) techniques, an...

10 Zhihao Yue, et al. ∙

research

∙ 04/21/2022

Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation

Due to the prosperity of Artificial Intelligence (AI) techniques, more a...

8 Jun Xia, et al. ∙

research

∙ 04/07/2022

Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings

One intriguing property of adversarial attacks is their "transferability...

0 Yuhao Mao, et al. ∙

research

∙ 04/03/2022

Convergence of the Planewave Approximations for Quantum Incommensurate Systems

Incommensurate structures come from stacking the single layers of low-di...

0 Ting Wang, et al. ∙

research

∙ 03/29/2022

Over-the-Air Federated Learning via Second-Order Optimization

Federated learning (FL) is a promising learning paradigm that can tackle...

0 Peng Yang, et al. ∙

research

∙ 02/28/2022

Machine Learning Empowered Intelligent Data Center Networking: A Survey

To support the needs of ever-growing cloud-based services, the number of...

2 Bo Li, et al. ∙

research

∙ 02/24/2022

Detecting change-points in noisy GPS time series with continuous piecewise structures

Detecting change-points in noisy data sequences with an underlying conti...

0 Yiming Ma, et al. ∙

research

∙ 02/22/2022

Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era

Facial Liveness Verification (FLV) is widely used for identity authentic...

0 Changjiang Li, et al. ∙

research

∙ 01/29/2022

Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications

As a promising method of central model training on decentralized device ...

2 Tian Liu, et al. ∙

research

∙ 12/24/2021

CatchBackdoor: Backdoor Testing by Critical Trojan Neural Path Identification via Differential Fuzzing

The success of deep neural networks (DNNs) in real-world applications ha...

0 Haibo Jin, et al. ∙

research

∙ 12/16/2021

APTSHIELD: A Stable, Efficient and Real-time APT Detection System for Linux Hosts

Advanced Persistent Threat (APT) attack usually refers to the form of lo...

0 Tiantian Zhu, et al. ∙

research

∙ 12/11/2021

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare

Deep neural networks (DNNs) have been broadly adopted in health risk pre...

0 Muchao Ye, et al. ∙

research

∙ 11/30/2021

Martingale product estimators for sensitivity analysis in computational statistical physics

We introduce a new class of estimators for the linear response of steady...

0 Petr Plechac, et al. ∙

research

∙ 11/29/2021

Efficient Federated Learning for AIoT Applications Using Knowledge Distillation

As a promising distributed machine learning paradigm, Federated Learning...

2 Tian Liu, et al. ∙

research

∙ 11/24/2021

Auto robust relative radiometric normalization via latent change noise modelling

Relative radiometric normalization(RRN) of different satellite images of...

13 Shiqi Liu, et al. ∙

research

∙ 11/22/2021

Backdoor Attack through Frequency Domain

Backdoor attacks have been shown to be a serious threat against deep lea...

32 Tong Wang, et al. ∙

research

∙ 10/27/2021

Towards Robust Reasoning over Knowledge Graphs

Answering complex logical queries over large-scale knowledge graphs (KGs...

0 Zhaohan Xi, et al. ∙

research

∙ 10/12/2021

On the Security Risks of AutoML

Neural Architecture Search (NAS) represents an emerging machine learning...

17 Ren Pang, et al. ∙

research

∙ 05/23/2021

Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation

Federated learning (FL) is recognized as a key enabling technology to pr...

0 Shaoming Huang, et al. ∙

research

∙ 01/25/2021

UAV-Assisted Over-the-Air Computation

Over-the-air computation (AirComp) provides a promising way to support u...

0 Min Fu, et al. ∙

research

∙ 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. ∙

research

∙ 12/16/2020

TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask)

Neural backdoors represent one primary threat to the security of deep le...

44 Ren Pang, et al. ∙

research

∙ 12/10/2020

Visual Perception Generalization for Vision-and-Language Navigation via Meta-Learning

Vision-and-language navigation (VLN) is a challenging task that requires...

0 Ting Wang, et al. ∙

research

∙ 11/20/2020

Computation and application of generalized linear mixed model derivatives using lme4

Maximum likelihood estimation of generalized linear mixed models(GLMMs) ...

0 Ting Wang, et al. ∙

Ting Wang

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