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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 ...
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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...
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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...
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07/27/2023
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data
Brain extraction, registration and segmentation are indispensable prepro...
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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...
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07/12/2023
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
Efficiently selecting an appropriate spike stream data length to extract...
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06/21/2023
Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity
Our comprehension of biological neuronal networks has profoundly influen...
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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...
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06/05/2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
The out-of-distribution (OOD) problem generally arises when neural netwo...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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03/08/2023
Structure-aware registration network for liver DCE-CT images
Image registration of liver dynamic contrast-enhanced computed tomograph...
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03/02/2023
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models
Machine Learning (ML) has been widely used in Natural Language Processin...
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03/02/2023
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction
Recurrent Neural Networks (RNNs) have been widely used in Natural Langua...
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01/27/2023
Neural Episodic Control with State Abstraction
Existing Deep Reinforcement Learning (DRL) algorithms suffer from sample...
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12/27/2022
Towards Benchmarking GUI Compatibility Testing on Mobile Applications
GUI is a bridge connecting user and application. Existing GUI testing ta...
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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...
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12/03/2022
AI-driven Mobile Apps: an Explorative Study
Recent years have witnessed an astonishing explosion in the evolution of...
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10/03/2022
Decompiling x86 Deep Neural Network Executables
Due to their widespread use on heterogeneous hardware devices, deep lear...
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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...
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07/21/2022
Demystifying Dependency Bugs in Deep Learning Stack
Recent breakthroughs in deep learning (DL) techniques have stimulated si...
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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...
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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...
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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...
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01/04/2022
A Robust Visual Sampling Model Inspired by Receptive Field
Spike camera mimicking the retina fovea can report per-pixel luminance i...
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11/24/2021
Machine Learning Guided Cross-Contract Fuzzing
Smart contract transactions are increasingly interleaved by cross-contra...
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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...
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10/08/2021
SCFlow: Optical Flow Estimation for Spiking Camera
As a bio-inspired sensor with high temporal resolution, Spiking camera h...
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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...
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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...
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03/16/2021
Identifying Bug Patterns in Quantum Programs
Bug patterns are erroneous code idioms or bad coding practices that have...
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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...
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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...
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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...
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09/21/2020
DeepTag: Robust Image Tagging for DeepFake Provenance
In recent years, DeepFake is becoming a common threat to our society, du...
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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...
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09/19/2020
FakeRetouch: Evading DeepFakes Detection via the Guidance of Deliberate Noise
The novelty and creativity of DeepFake generation techniques have attrac...
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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...
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07/02/2020
Generating Adversarial Examples withControllable Non-transferability
Adversarial attacks against Deep Neural Networks have been widely studie...
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06/13/2020
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms
As the GAN-based face image and video generation techniques, widely know...
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06/13/2020
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction
The recently rapid advances of generative adversarial networks (GANs) in...
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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 ...
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05/19/2020
An Auto-Context Deformable Registration Network for Infant Brain MRI
Deformable image registration is fundamental to longitudinal and populat...
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05/14/2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning
Adversarial attacks against conventional Deep Learning (DL) systems and ...
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04/24/2020
