b'Chao Chen'

research

∙ 09/17/2023

OWL: A Large Language Model for IT Operations

With the rapid development of IT operations, it has become increasingly ...

0 Hongcheng Guo, et al. ∙

research

∙ 08/25/2023

GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds

Learning implicit representations has been a widely used solution for su...

0 Chao Chen, et al. ∙

research

∙ 08/23/2023

Adaptive Encoding Strategies for Erasing-Based Lossless Floating-Point Compression

Lossless floating-point time series compression is crucial for a wide ra...

0 Ruiyuan Li, et al. ∙

research

∙ 08/14/2023

Auditory cueing strategy for stride length and cadence modification: a feasibility study with healthy adults

People with Parkinson's Disease experience gait impairments that signifi...

0 Tina LY Wu, et al. ∙

research

∙ 06/28/2023

Erasing-based lossless compression method for streaming floating-point time series

There are a prohibitively large number of floating-point time series dat...

0 Ruiyuan Li, et al. ∙

research

∙ 06/20/2023

A novel Counterfactual method for aspect-based sentiment analysis

Aspect-based-sentiment-analysis (ABSA) is a fine-grained sentiment evalu...

0 Dongming Wu, et al. ∙

research

∙ 04/21/2023

Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning

Federated learning (FL) is vulnerable to poisoning attacks, where advers...

0 Hangtao Zhang, et al. ∙

research

∙ 04/02/2023

SoftED: Metrics for Soft Evaluation of Time Series Event Detection

Time series event detection methods are evaluated mainly by standard cla...

0 Rebecca Salles, et al. ∙

research

∙ 03/27/2023

Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder

Deep neural networks are vulnerable to backdoor attacks, where an advers...

0 Tao Sun, et al. ∙

research

∙ 03/25/2023

Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors

It is vital to infer signed distance functions (SDFs) from 3D point clou...

0 Chao Chen, et al. ∙

research

∙ 03/22/2023

EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning

Dynamic graphs arise in various real-world applications, and it is often...

0 Chao Chen, et al. ∙

research

∙ 03/08/2023

DNBP: Differentiable Nonparametric Belief Propagation

We present a differentiable approach to learn the probabilistic factors ...

0 Anthony Opipari, et al. ∙

research

∙ 02/19/2023

EdgeVO: An Efficient and Accurate Edge-based Visual Odometry

Visual odometry is important for plenty of applications such as autonomo...

0 Hui Zhao, et al. ∙

research

∙ 02/08/2023

Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution

Inductive one-bit matrix completion is motivated by modern applications ...

0 Chao Chen, et al. ∙

research

∙ 01/25/2023

Rate-Perception Optimized Preprocessing for Video Coding

In the past decades, lots of progress have been done in the video compre...

0 Chengqian Ma, et al. ∙

research

∙ 12/28/2022

Robust Ranking Explanations

Gradient-based explanation is the cornerstone of explainable deep networ...

0 Chao Chen, et al. ∙

research

∙ 12/13/2022

DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization

LiDAR mapping is important yet challenging in self-driving and mobile ro...

0 Chao Chen, et al. ∙

research

∙ 11/30/2022

From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution

Image super-resolution (SR) serves as a fundamental tool for the process...

0 Jie Liu, et al. ∙

research

∙ 11/22/2022

Backdoor Cleansing with Unlabeled Data

Due to the increasing computational demand of Deep Neural Networks (DNNs...

0 Lu Pang, et al. ∙

research

∙ 09/25/2022

ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement

Modeling sparse and dense image matching within a unified functional cor...

5 Dongli Tan, et al. ∙

research

∙ 08/31/2022

Deep Anomaly Detection and Search via Reinforcement Learning

Semi-supervised Anomaly Detection (AD) is a kind of data mining task whi...

3 Chao Chen, et al. ∙

research

∙ 08/19/2022

Self-Supervised Visual Place Recognition by Mining Temporal and Feature Neighborhoods

Visual place recognition (VPR) using deep networks has achieved state-of...

6 Chao Chen, et al. ∙

research

∙ 08/12/2022

Solving Linear Systems on a GPU with Hierarchically Off-Diagonal Low-Rank Approximations

We are interested in solving linear systems arising from three applicati...

0 Chao Chen, et al. ∙

research

∙ 08/09/2022

Attention Hijacking in Trojan Transformers

Trojan attacks pose a severe threat to AI systems. Recent works on Trans...

13 Weimin Lyu, et al. ∙

research

∙ 08/09/2022

A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction

Deep-learning-based clinical decision support using structured electroni...

0 Weimin Lyu, et al. ∙

research

∙ 07/28/2022

HOB-CNN: Hallucination of Occluded Branches with a Convolutional Neural Network for 2D Fruit Trees

Orchard automation has attracted the attention of researchers recently d...

1 Zijue Chen, et al. ∙

research

∙ 07/18/2022

Latent Partition Implicit with Surface Codes for 3D Representation

Deep implicit functions have shown remarkable shape modeling ability in ...

2 Chao Chen, et al. ∙

research

∙ 07/18/2022

UniFormer: Unified Multi-view Fusion Transformer for Spatial-Temporal Representation in Bird's-Eye-View

Bird's eye view (BEV) representation is a new perception formulation for...

16 Zequn Qin, et al. ∙

research

∙ 07/10/2022

Hiding Your Signals: A Security Analysis of PPG-based Biometric Authentication

Recently, physiological signal-based biometric systems have received wid...

10 Lin Li, et al. ∙

research

∙ 06/06/2022

On the Convergence of Optimizing Persistent-Homology-Based Losses

Topological loss based on persistent homology has shown promise in vario...

5 Yikai Zhang, et al. ∙

research

∙ 06/03/2022

Learning Probabilistic Structural Representation for Biomedical Image Segmentation

Accurate segmentation of various fine-scale structures from biomedical i...

56 Xiaoling Hu, et al. ∙

research

∙ 05/31/2022

Open-source Framework for Transonic Boundary Layer Natural Transition Analysis over Complex Geometries in Nektar++

We introduce an open-source and unified framework for transition analysi...

0 Ganlin Lyu, et al. ∙

research

∙ 05/13/2022

A Study of the Attention Abnormality in Trojaned BERTs

Trojan attacks raise serious security concerns. In this paper, we invest...

10 Weimin Lyu, et al. ∙

research

∙ 05/01/2022

Accurate Fruit Localisation for Robotic Harvesting using High Resolution LiDAR-Camera Fusion

Accurate depth-sensing plays a crucial role in securing a high success r...

0 Hanwen Kang, et al. ∙

research

∙ 04/02/2022

PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation

Pixel synthesis is a promising research paradigm for image generation, w...

10 Jing He, et al. ∙

research

∙ 04/02/2022

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation

Capturing the dynamics in user preference is crucial to better predict u...

5 Chao Chen, et al. ∙

research

∙ 03/30/2022

SeqTR: A Simple yet Universal Network for Visual Grounding

In this paper, we propose a simple yet universal network termed SeqTR fo...

4 Chaoyang Zhu, et al. ∙

research

∙ 03/30/2022

Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation

User interests are usually dynamic in the real world, which poses both t...

0 Chao Chen, et al. ∙

research

∙ 03/29/2022

Discovering Governing Equations by Machine Learning implemented with Invariance

The partial differential equation (PDE) plays a significantly important ...

3 Chao Chen, et al. ∙

research

∙ 03/24/2022

A Manifold View of Adversarial Risk

The adversarial risk of a machine learning model has been widely studied...

3 Wenjia Zhang, et al. ∙

research

∙ 03/17/2022

GPU Computation of the Euler Characteristic Curve for Imaging Data

Persistent homology is perhaps the most popular and useful tool offered ...

0 Fan Wang, et al. ∙

research

∙ 03/02/2022

Video is All You Need: Attacking PPG-based Biometric Authentication

Unobservable physiological signals enhance biometric authentication syst...

0 Lin Li, et al. ∙

research

∙ 02/11/2022

FAAG: Fast Adversarial Audio Generation through Interactive Attack Optimisation

Automatic Speech Recognition services (ASRs) inherit deep neural network...

0 Yuantian Miao, et al. ∙

research

∙ 02/07/2022

A Topology-Attention ConvLSTM Network and Its Application to EM Images

Structural accuracy of segmentation is important for finescale structure...

3 Jiaqi Yang, et al. ∙

research

∙ 01/28/2022

Neural Approximation of Extended Persistent Homology on Graphs

Persistent homology is a widely used theory in topological data analysis...

8 Zuoyu Yan, et al. ∙

research

∙ 01/27/2022

SoK: An Overview of PPG's Application in Authentication

Biometric authentication prospered during the 2010s. Vulnerability to sp...

0 Lin Li, et al. ∙

research

∙ 01/18/2022

Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation

Scene Graph Generation (SGG) aims to build a structured representation o...

4 Chao Chen, et al. ∙

research

∙ 12/28/2021

Soft Robotic Finger with Variable Effective Length enabled by an Antagonistic Constraint Mechanism

Compared to traditional rigid robotics, soft robotics has attracted incr...

0 Xing Wang, et al. ∙

research

∙ 12/08/2021

Geometry-Aware Fruit Grasping Estimation for Robotic Harvesting in Orchards

Field robotic harvesting is a promising technique in recent development ...

4 Hanwen Kang, et al. ∙

research

∙ 12/06/2021

A General Framework for Debiasing in CTR Prediction

Most of the existing methods for debaising in click-through rate (CTR) p...

5 Wenjie Chu, et al. ∙

Chao Chen

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