Zhijian Huang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation.
CoRR, April, 2026

VGGDrive: Empowering Vision-Language Models with Cross-View Geometric Grounding for Autonomous Driving.
CoRR, February, 2026

Complementary perspectives enhancement via hierarchical graph networks for multimodal fake news detection.
J. Supercomput., January, 2026

TwistDAN: Twisted Domain Adversarial Network for Synthetic Accessibility Assessment.
J. Chem. Inf. Model., 2026

MM-GHiNet: A multimodal graph hierarchical network for brain disease diagnosis.
Expert Syst. Appl., 2026

DeepLMI: deep feature mining with a globally enhanced graph convolutional network for robust lncRNA-miRNA interaction prediction.
Bioinform., 2026

X-SAM: From Segment Anything to Any Segmentation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
HLN-DDI: hierarchical molecular representation learning with co-attention mechanism for drug-drug interaction prediction.
BMC Bioinform., December, 2025

MiMo-Embodied: X-Embodied Foundation Model Technical Report.
CoRR, November, 2025

Is Your VLM for Autonomous Driving Safety-Ready? A Comprehensive Benchmark for Evaluating External and In-Cabin Risks.
CoRR, November, 2025

RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case.
CoRR, August, 2025

AGCLNDA: Enhancing the Prediction of ncRNA-Drug Resistance Association Using Adaptive Graph Contrastive Learning.
IEEE J. Biomed. Health Informatics, June, 2025

Membership Inference Attacks Against Incremental Learning in IoT Devices.
IEEE Trans. Mob. Comput., May, 2025

Model Poisoning Attack Against Neural Network Interpreters in IoT Devices.
IEEE Trans. Mob. Comput., March, 2025

Enhancing Predictions of Drug Solubility Through Multidimensional Structural Characterization Exploitation.
IEEE J. Biomed. Health Informatics, March, 2025

DeepHeteroCDA: circRNA-drug sensitivity associations prediction via multi-scale heterogeneous network and graph attention mechanism.
Briefings Bioinform., March, 2025

MEDANet: More Efficient Dual Attention Network for Scene Segmentation.
J. Circuits Syst. Comput., January, 2025

CircGO: Predicting circRNA Functions Through Self-Supervised Learning of Heterogeneous Networks.
IEEE Trans. Comput. Biol. Bioinform., 2025

DeepExpDR: Drug Response Prediction through Molecular Topological Grouping and Substructure-Aware Expert.
J. Chem. Inf. Model., 2025

Partner-RBR: Predicting Multitype RNA-Binding Residues Based on Mutual Learning.
J. Chem. Inf. Model., 2025

Precise prediction of hotspot residues in protein-RNA complexes using graph attention networks and pretrained protein language models.
Bioinform., 2025

HCoVDB: a comprehensive database encompassing viral genomes, drug targets, and therapeutics of human coronaviruses.
Database J. Biol. Databases Curation, 2025

Contrastive hypergraph collaborative filtering for transfer RNA-disease association prediction.
Briefings Bioinform., 2025

MVRBind: multi-view learning for RNA-small molecule binding site prediction.
Briefings Bioinform., 2025

Swin Transformer Based Bidirectional Feature Pyramid Network for Knee Osteoarthritis Severity Grading.
Proceedings of the Predictive Intelligence in Medicine - 8th International Workshop, 2025

RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MVFDSP: A Multi-View Fusion Framework for Drug Side-Effect Frequency Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

GroupTransUNet: Group Transformer UNet for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

ASRSMA: Atomic-Scale and Structure-Based Modeling for RNA-Small Molecule Binding Affinity Prediction via Contrastive Pretraining.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

DSSA: Dual-Stream Synthetic Accessibility Framework for Organic Compounds.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
Seeing the Invisible: Recovering Surveillance Video With COTS mmWave Radar.
IEEE Trans. Mob. Comput., December, 2024

SGCLDGA: unveiling drug-gene associations through simple graph contrastive learning.
Briefings Bioinform., May, 2024

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

DriveMM: All-in-One Large Multimodal Model for Autonomous Driving.
CoRR, 2024

DeepRSMA: a cross-fusion-based deep learning method for RNA-small molecule binding affinity prediction.
Bioinform., 2024

MolMVC: Enhancing molecular representations for drug-related tasks through multi-view contrastive learning.
Bioinform., 2024

A Review on Binary Code Analysis Datasets.
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024

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

m<sup>2</sup>Vib: 2D Vibration Measurement Using a Single mmWave Radar.
Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 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

GATBind: Accurate protein-RNA binding sites prediction via graph attention networks with pre-trained language model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

DTA-Net: Dual-Task Attention Network for Medical Image Segmentation and Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Enhancing miRNA-Disease Prediction with Attention-Based Multi-View Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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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