research
∙
09/14/2023
Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools
Neural Code Completion Tools (NCCTs) have reshaped the field of software...
share
research
∙
08/21/2023
A Large-scale Benchmark for Log Parsing
Log data is pivotal in activities like anomaly detection and failure dia...
research
∙
08/18/2023
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection
The rapid progress of modern computing systems has led to a growing inte...
research
∙
07/12/2023
Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study
Automated logging statement generation techniques facilitate developers ...
research
∙
05/25/2023
Learning Preconditioner for Conjugate Gradient PDE Solvers
Efficient numerical solvers for partial differential equations empower s...
research
∙
03/28/2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method
Deep neural networks have achieved unprecedented success on diverse visi...
research
∙
11/08/2022
Assemble Them All: Physics-Based Planning for Generalizable Assembly by Disassembly
Assembly planning is the core of automating product assembly, maintenanc...
research
∙
09/26/2022
On Efficient Online Imitation Learning via Classification
Imitation learning (IL) is a general learning paradigm for tackling sequ...
research
∙
06/04/2022
Performance Analysis of SPAD-Based Optical Wireless Communication with OFDM
In recent years, there has been a growing interest in the use of single-...
research
∙
12/23/2021
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?
Application Programming Interfaces (APIs), which encapsulate the impleme...
research
∙
08/02/2021
Towards Making Deep Learning-based Vulnerability Detectors Robust
Automatically detecting software vulnerabilities in source code is an im...
research
∙
08/13/2020
Network Architecture Search for Domain Adaptation
Deep networks have been used to learn transferable representations for d...
research
∙
07/17/2020
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
Conventional unsupervised domain adaptation (UDA) studies the knowledge ...
research
∙
03/21/2020
Learning 3D Part Assembly from a Single Image
Autonomous assembly is a crucial capability for robots in many applicati...
research
∙
12/10/2019
Learning Domain Adaptive Features with Unlabeled Domain Bridges
Conventional cross-domain image-to-image translation or unsupervised dom...
research
∙
05/15/2019
Performance Analysis of SPAD-based OFDM
In this paper, an analytical approach for the nonlinear distorted bit er...
research
∙
05/14/2019
Performance Analysis of Non-DC-Biased OFDM
The performance analysis of a novel optical modulation scheme is present...
research
∙
11/17/2018