b'Lei Ma'

research

∙ 09/13/2023

Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics

Although Deep Reinforcement Learning (DRL) has achieved notable success ...

0 Jiayang Song, et al. ∙

research

∙ 08/26/2023

ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning

Motivated by the substantial achievements observed in Large Language Mod...

0 Zhehua Zhou, et al. ∙

research

∙ 07/31/2023

Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation

As a representative cyber-physical system (CPS), robotic manipulator has...

0 Zhehua Zhou, et al. ∙

research

∙ 07/27/2023

One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data

Brain extraction, registration and segmentation are indispensable prepro...

0 Yao Su, et al. ∙

research

∙ 07/16/2023

Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models

The recent performance leap of Large Language Models (LLMs) opens up new...

0 Yuheng Huang, et al. ∙

research

∙ 07/12/2023

Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera

Efficiently selecting an appropriate spike stream data length to extract...

0 Lujie Xia, et al. ∙

research

∙ 06/21/2023

Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity

Our comprehension of biological neuronal networks has profoundly influen...

0 Xundong Wu, et al. ∙

research

∙ 06/06/2023

Benchmarking Robustness of AI-enabled Multi-sensor Fusion Systems: Challenges and Opportunities

Multi-Sensor Fusion (MSF) based perception systems have been the foundat...

6 Xinyu Gao, et al. ∙

research

∙ 06/05/2023

Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization

The out-of-distribution (OOD) problem generally arises when neural netwo...

0 Yibing Liu, et al. ∙

research

∙ 06/02/2023

Active Code Learning: Benchmarking Sample-Efficient Training of Code Models

The costly human effort required to prepare the training data of machine...

0 Qiang Hu, et al. ∙

research

∙ 06/02/2023

Is Model Attention Aligned with Human Attention? An Empirical Study on Large Language Models for Code Generation

Large Language Models (LLMs) have been demonstrated effective for code g...

0 Bonan Kou, et al. ∙

research

∙ 05/24/2023

NiCro: Purely Vision-based, Non-intrusive Cross-Device and Cross-Platform GUI Testing

To ensure app compatibility and smoothness of user experience across div...

0 Mulong Xie, et al. ∙

research

∙ 05/23/2023

Deep Learning based Forecasting: a case study from the online fashion industry

Demand forecasting in the online fashion industry is particularly amenda...

0 Manuel Kunz, et al. ∙

research

∙ 05/06/2023

Mosaic: Model-based Safety Analysis Framework for AI-enabled Cyber-Physical Systems

Cyber-physical systems (CPSs) are now widely deployed in many industrial...

0 Xuan Xie, et al. ∙

research

∙ 04/12/2023

AutoRepair: Automated Repair for AI-Enabled Cyber-Physical Systems under Safety-Critical Conditions

Cyber-Physical Systems (CPS) have been widely deployed in safety-critica...

0 Deyun Lyu, et al. ∙

research

∙ 03/20/2023

Bi-orthogonal fPINN: A physics-informed neural network method for solving time-dependent stochastic fractional PDEs

Fractional partial differential equations (FPDEs) can effectively repres...

0 Lei Ma, et al. ∙

research

∙ 03/08/2023

Structure-aware registration network for liver DCE-CT images

Image registration of liver dynamic contrast-enhanced computed tomograph...

0 Peng Xue, et al. ∙

research

∙ 03/02/2023

DeepLens: Interactive Out-of-distribution Data Detection in NLP Models

Machine Learning (ML) has been widely used in Natural Language Processin...

0 Da Song, et al. ∙

research

∙ 03/02/2023

DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction

Recurrent Neural Networks (RNNs) have been widely used in Natural Langua...

0 Zhijie Wang, et al. ∙

research

∙ 01/27/2023

Neural Episodic Control with State Abstraction

Existing Deep Reinforcement Learning (DRL) algorithms suffer from sample...

2 Zhuo Li, et al. ∙

research

∙ 12/27/2022

Towards Benchmarking GUI Compatibility Testing on Mobile Applications

GUI is a bridge connecting user and application. Existing GUI testing ta...

0 Jiaming Ye, et al. ∙

research

∙ 12/13/2022

An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty

Deep learning (DL) has become a driving force and has been widely adopte...

18 Zhijie Wang, et al. ∙

research

∙ 12/03/2022

AI-driven Mobile Apps: an Explorative Study

Recent years have witnessed an astonishing explosion in the evolution of...

19 Yinghua Li, et al. ∙

research

∙ 10/03/2022

Decompiling x86 Deep Neural Network Executables

Due to their widespread use on heterogeneous hardware devices, deep lear...

10 Zhibo Liu, et al. ∙

research

∙ 07/22/2022

Efficient Testing of Deep Neural Networks via Decision Boundary Analysis

Deep learning plays a more and more important role in our daily life due...

9 Qiang Hu, et al. ∙

research

∙ 07/21/2022

Demystifying Dependency Bugs in Deep Learning Stack

Recent breakthroughs in deep learning (DL) techniques have stimulated si...

0 Kaifeng Huang, et al. ∙

research

∙ 06/14/2022

Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites

In clinical practice, a segmentation network is often required to contin...

2 Jingyang Zhang, et al. ∙

research

∙ 06/11/2022

CodeS: A Distribution Shift Benchmark Dataset for Source Code Learning

Over the past few years, deep learning (DL) has been continuously expand...

4 Qiang Hu, et al. ∙

research

∙ 01/05/2022

Towards Understanding Quality Challenges of the Federated Learning: A First Look from the Lens of Robustness

Federated learning (FL) is a widely adopted distributed learning paradig...

8 Amin Eslami Abyane, et al. ∙

research

∙ 01/04/2022

A Robust Visual Sampling Model Inspired by Receptive Field

Spike camera mimicking the retina fovea can report per-pixel luminance i...

2 Liwen Hu, et al. ∙

research

∙ 11/24/2021

Machine Learning Guided Cross-Contract Fuzzing

Smart contract transactions are increasingly interleaved by cross-contra...

0 Yinxing Xue, et al. ∙

research

∙ 11/08/2021

When Cyber-Physical Systems Meet AI: A Benchmark, an Evaluation, and a Way Forward

Cyber-physical systems (CPS) have been broadly deployed in safety-critic...

0 Jiayang Song, et al. ∙

research

∙ 10/08/2021

SCFlow: Optical Flow Estimation for Spiking Camera

As a bio-inspired sensor with high temporal resolution, Spiking camera h...

3 Liwen Hu, et al. ∙

research

∙ 10/07/2021

SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection

We propose a multi-stage coarse-to-fine CNN-based framework, called Skul...

11 Qin Liu, et al. ∙

research

∙ 09/11/2021

A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning

Virtual orthognathic surgical planning involves simulating surgical corr...

6 Deqiang Xiao, et al. ∙

research

∙ 03/16/2021

Identifying Bug Patterns in Quantum Programs

Bug patterns are erroneous code idioms or bad coding practices that have...

0 Pengzhan Zhao, et al. ∙

research

∙ 01/20/2021

A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding

Over the past few years, deep neural networks (DNNs) have been continuou...

0 Maryam Vahdat Pour, et al. ∙

research

∙ 01/02/2021

To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams

Complex event processing (CEP) systems continuously evaluate large workl...

0 Olga Poppe, et al. ∙

research

∙ 10/16/2020

Human Perception-based Evaluation Criterion for Ultra-high Resolution Cell Membrane Segmentation

Computer vision technology is widely used in biological and medical data...

11 Ruohua Shi, et al. ∙

research

∙ 09/21/2020

DeepTag: Robust Image Tagging for DeepFake Provenance

In recent years, DeepFake is becoming a common threat to our society, du...

0 Run Wang, et al. ∙

research

∙ 09/19/2020

EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining

Single-image deraining is rather challenging due to the unknown rain mod...

11 Qing Guo, et al. ∙

research

∙ 09/19/2020

FakeRetouch: Evading DeepFakes Detection via the Guidance of Deliberate Noise

The novelty and creativity of DeepFake generation techniques have attrac...

37 Yihao Huang, et al. ∙

research

∙ 09/19/2020

It's Raining Cats or Dogs? Adversarial Rain Attack on DNN Perception

Rain is a common phenomenon in nature and an essential factor for many d...

1 Liming Zhai, et al. ∙

research

∙ 07/02/2020

Generating Adversarial Examples withControllable Non-transferability

Adversarial attacks against Deep Neural Networks have been widely studie...

0 Renzhi Wang, et al. ∙

research

∙ 06/13/2020

DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms

As the GAN-based face image and video generation techniques, widely know...

12 Hua Qi, et al. ∙

research

∙ 06/13/2020

FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction

The recently rapid advances of generative adversarial networks (GANs) in...

5 Yihao Huang, et al. ∙

research

∙ 05/28/2020

DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices

With the recent advances in voice synthesis, AI-synthesized fake voices ...

0 Run Wang, et al. ∙

research

∙ 05/19/2020

An Auto-Context Deformable Registration Network for Infant Brain MRI

Deformable image registration is fundamental to longitudinal and populat...

0 Dongming Wei, et al. ∙

research

∙ 05/14/2020

Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning

Adversarial attacks against conventional Deep Learning (DL) systems and ...

2 Jianwen Sun, et al. ∙

research

∙ 04/24/2020

Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty

Over the past decade, deep learning (DL) has been successfully applied t...

0 Xiyue Zhang, et al. ∙

Lei Ma

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