Zhijian Huang

Orcid: 0000-0002-7948-425X

According to our database1, Zhijian Huang authored at least 39 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Infrared image super-resolution method based on dual-branch deep neural network.
Vis. Comput., March, 2024

VulCausal: Robust Vulnerability Detection Using Neural Network Models from a Causal Perspective.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Making Large Language Models Better Planners with Reasoning-Decision Alignment.
Proceedings of the Computer Vision - ECCV 2024, 2024

DeBERTa-v3 with R-Drop regularization for Multi-Author Writing Style Analysis.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023
Large-scale predicting protein functions through heterogeneous feature fusion.
Briefings Bioinform., July, 2023

ABLNCPP: Attention Mechanism-Based Bidirectional Long Short-Term Memory for Noncoding RNA Coding Potential Prediction.
J. Chem. Inf. Model., June, 2023

DeepCoVDR: deep transfer learning with graph transformer and cross-attention for predicting COVID-19 drug response.
Bioinform., 2023

FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Profiling Cryptocurrency Influencers With Few-shot Learning via Contrastive Learning.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

PTDA-SWGCL: Predicting tRNA-Disease Associations using Supplementarily Weighted Graph Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Medical Image Segmentation Using Dual Branch Networks with Embedded Attention Mechanism.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Predicting Associations between circRNAs and Drug Sensitivity using Heterogeneous Graphs and Graph Attention Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

TGC-ARG: Predicting Antibiotic Resistance through Transformer-based Modeling and Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Enhancing Protein Solubility Prediction through Pre-trained Language Models and Graph Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Imbalanced Underwater Acoustic Target Recognition with Trigonometric Loss and Attention Mechanism Convolutional Network.
Remote. Sens., 2022

Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DeepFusionGO: Protein function prediction by fusing heterogeneous features through deep learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Study on the Arctic Underwater Terrain-Aided Navigation Based on Fuzzy-Particle Filter.
Int. J. Fuzzy Syst., 2021

2020
An Intelligent Ship Image/Video Detection and Classification Method with Improved Regressive Deep Convolutional Neural Network.
Complex., 2020

Tree2tree Structural Language Modeling for Compiler Fuzzing.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

2019
Four actor-critic structures and algorithms for nonlinear multi-input multi-output system.
Neurocomputing, 2019

2018
JDriver: Automatic Driver Class Generation for AFL-Based Java Fuzzing Tools.
Symmetry, 2018

A data-driven online ADP control method for nonlinear system based on policy iteration and nonlinear MIMO decoupling ADRC.
Neurocomputing, 2018

Detecting Unsafe Raw Pointer Dereferencing Behavior in Rust.
IEICE Trans. Inf. Syst., 2018

2017
Four nonlinear multi-input multi-output ADHDP constructions and algorithms based on topology principle.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

A data-driven online ADP of exponential convergence based on k-nearest-neighbor Averager, stable term and persistence excitation.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

2016
A Survey of Game Theoretic Methods for Cyber Security.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

2015
Malware Similarity Analysis Based on Graph Similarity Flooding Algorithm.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2015

2014
Adaptive Algorithm for Automated Polygonal Approximation of High Spatial Resolution Remote Sensing Imagery Segmentation Contours.
IEEE Trans. Geosci. Remote. Sens., 2014

Extraction of Bridges from High Resolution Remote Sensing Image Based on Topology Modeling.
Proceedings of the 2014 IEEE International Conference on Cloud Engineering, 2014

A Network Gene-Based Framework for Detecting Advanced Persistent Threats.
Proceedings of the 2014 Ninth International Conference on P2P, 2014

2013
The derivation of iterative convergence calculation for a nonlinear MIMO approximate dynamic programming approach.
Appl. Math. Comput., 2013

A Study of LDoS Flows Variations Based on Similarity Measurement.
Proceedings of the Internet and Distributed Computing Systems, 2013

2012
A feature fusion method for road line extraction from remote sensing image.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2004
Propagation of Unequal OTDM Data Channels in 2R Regenerated System.
Proceedings of the Optical Networks and Technologies, 2004

2003
Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers.
Proceedings of the Genetic and Evolutionary Computation, 2003

2001
A Teaching Support Program for Distance Learning.
Proceedings of the Sixth International Conference on Computer Supported Cooperative Work in Design, 2001

1997
Numerical Experience with Newton-like Methods for Nonlinear Algebraic Systems.
Computing, 1997

1994
The semilocal convergence of a generalization of Brent's and Brown's methods.
Numer. Algorithms, 1994


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