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08/25/2023
SoTaNa: The Open-Source Software Development Assistant
Software development plays a crucial role in driving innovation and effi...
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08/15/2023
An Adaptive Approach for Probabilistic Wind Power Forecasting Based on Meta-Learning
This paper studies an adaptive approach for probabilistic wind power for...
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04/30/2023
Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-focused Approach
Electricity price prediction plays a vital role in energy storage system...
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04/11/2023
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond
Recently, fine-tuning pre-trained code models such as CodeBERT on downst...
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03/03/2023
Optimal scheduling of park-level integrated energy system considering ladder-type carbon trading mechanism and flexible load
In an attempt to improve the utilization efficiency of multi-energy coup...
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12/13/2022
Object-fabrication Targeted Attack for Object Detection
Recent researches show that the deep learning based object detection is ...
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11/11/2022
Deep Reinforcement Learning Microgrid Optimization Strategy Considering Priority Flexible Demand Side
As an efficient way to integrate multiple distributed energy resources a...
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06/22/2022
S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving
To safely and rationally participate in dense and heterogeneous traffic,...
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06/19/2022
RF-LIO: Removal-First Tightly-coupled Lidar Inertial Odometry in High Dynamic Environments
Simultaneous Localization and Mapping (SLAM) is considered to be an esse...
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04/07/2022
Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation
Code search aims to retrieve the most semantically relevant code snippet...
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03/30/2022
One-Step Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks
A one-step two-critic deep reinforcement learning (OSTC-DRL) approach fo...
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03/05/2022
ECMG: Exemplar-based Commit Message Generation
Commit messages concisely describe the content of code diffs (i.e., code...
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01/08/2022
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction
In a modern power system, real-time data on power generation/consumption...
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11/08/2021
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
Host-based threats such as Program Attack, Malware Implantation, and Adv...
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08/30/2021
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Code summarization aims to generate concise natural language description...
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08/14/2021
MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding
We present MMOCR-an open-source toolbox which provides a comprehensive p...
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07/15/2021
Neural Code Summarization: How Far Are We?
Source code summaries are important for the comprehension and maintenanc...
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05/07/2021
A Multivariate Density Forecast Approach for Online Power System Security Assessment
A multivariate density forecast model based on deep learning is designed...
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03/26/2021
Spatial Dual-Modality Graph Reasoning for Key Information Extraction
Key information extraction from document images is of paramount importan...
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03/22/2021
A Federated Learning Framework in Smart Grid: Securing Power Traces in Collaborative Learning
With the deployment of smart sensors and advancements in communication t...
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12/07/2020
End-to-End Object Detection with Fully Convolutional Network
Mainstream object detectors based on the fully convolutional network has...
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12/07/2020
Fine-Grained Dynamic Head for Object Detection
The Feature Pyramid Network (FPN) presents a remarkable approach to alle...
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12/07/2020
Rethinking Learnable Tree Filter for Generic Feature Transform
The Learnable Tree Filter presents a remarkable approach to model struct...
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11/18/2020
ADCPNet: Adaptive Disparity Candidates Prediction Network for Efficient Real-Time Stereo Matching
Efficient real-time disparity estimation is critical for the application...
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07/15/2020
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
The attention-based encoder-decoder framework has recently achieved impr...
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09/27/2019
Learnable Tree Filter for Structure-preserving Feature Transform
Learning discriminative global features plays a vital role in semantic s...
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09/02/2019
Geometry Normalization Networks for Accurate Scene Text Detection
Large geometry (e.g., orientation) variances are the key challenges in t...
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05/31/2019
TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection
Current state-of-the-art approaches for spatio-temporal action detection...
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07/16/2018