Zeyang Zhang

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

Bibliography

2025

DDBFusion: An unified image decomposition and fusion framework based on dual decomposition and Bézier curves.

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[DOI]

Inf. Fusion, 2025

2024

Capturing Rapid Vehicle Dynamics: A Refined Adaptive Kalman Filter for Enhanced Tire-Road Friction Estimation.

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[DOI]

IEEE Trans. Ind. Electron., November, 2024

Self-Growing Binary Activation Network: A Novel Deep Learning Model With Dynamic Architecture.

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[DOI]

Zeyang Zhang

Yidong Chen

Changle Zhou

IEEE Trans. Neural Networks Learn. Syst., January, 2024

GuideFuse: A Novel Guided Auto-Encoder Fusion Network for Infrared and Visible Images.

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[DOI]

IEEE Trans. Instrum. Meas., 2024

VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding.

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[DOI]

CoRR, 2024

Multi-Modal Generative AI: Multi-modal LLM, Diffusion and Beyond.

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[DOI]

CoRR, 2024

Multi-sentence Video Grounding for Long Video Generation.

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[DOI]

CoRR, 2024

Causal-Aware Graph Neural Architecture Search under Distribution Shifts.

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[DOI]

CoRR, 2024

LLM-Enhanced Causal Discovery in Temporal Domain from Interventional Data.

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[DOI]

CoRR, 2024

Exploring the Potential of Large Language Models in Graph Generation.

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[DOI]

CoRR, 2024

BusReF: Infrared-Visible images registration and fusion focus on reconstructible area using one set of features.

[BibT_eX]

[DOI]

CoRR, 2024

CoMoFusion: Fast and High-Quality Fusion of Infrared and Visible Image with Consistency Model.

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[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

DisenStudio: Customized Multi-Subject Text-to-Video Generation with Disentangled Spatial Control.

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[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?

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[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Path Tracking for Four-Wheel Steering and Four-Wheel Drive Autonomous Vehicles: Integration of Backstepping and Optimization Approaches.

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[DOI]

Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

IFFusion: Illumination-Free Fusion Network for Infrared and Visible Images.

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[DOI]

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet.

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[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization.

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[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model.

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[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Dynamic Multi-Objective AWPSO in DT-Assisted UAV Cooperative Task Assignment.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., November, 2023

New valid inequalities and formulations for the static joint Chance-constrained Lot-sizing problem.

[BibT_eX]

[DOI]

Zeyang Zhang

Chuanhou Gao

James R. Luedtke

Math. Program., May, 2023

ECGNet: An Efficient Network for Detecting Premature Ventricular Complexes Based on ECG Images.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., February, 2023

A New Design to Rayleigh Wave EMAT Based on Spatial Pulse Compression.

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[DOI]

Sensors, 2023

LLM4VG: Large Language Models Evaluation for Video Grounding.

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[DOI]

CoRR, 2023

Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction.

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[DOI]

CoRR, 2023

Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion.

[BibT_eX]

[DOI]

CoRR, 2023

LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs?

[BibT_eX]

[DOI]

CoRR, 2023

Large Graph Models: A Perspective.

[BibT_eX]

[DOI]

CoRR, 2023

Extension and Application of Driving Risk Field Model Considering Vehicle Motion Constraints.

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[DOI]

IEEE Access, 2023

Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Heterogeneous Graph Attention Neural Architecture Search.

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[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Data-Based Compact High-Order Volterra Model for Complex Blast Furnace System.

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[DOI]

IEEE Trans. Ind. Informatics, 2022

Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Research on UAV Cooperative Task Assignment Based on Dynamic Multi-objective Evolutionary Algorithm.

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[DOI]

Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum.

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[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Towards combinational relation linking over knowledge graphs.

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[DOI]

World Wide Web, 2021

Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?

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[DOI]

CoRR, 2021

AutoGL: A Library for Automated Graph Learning.

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[DOI]

CoRR, 2021

Graph Differentiable Architecture Search with Structure Learning.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Resource Allocation Mechanism with the Base Station Assistance in New Radio-Vehicle.

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[DOI]

Proceedings of the International Conference on Computing, Networking and Communications, 2020

Iterative Channel Estimation for Large Scale MIMO with Highly Quantized Measurements in 5G.

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[DOI]

Zeyang Zhang

Michael McGuire

Mihai Sima

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Semantic Prior Guided Face Inpainting.

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[DOI]

Proceedings of the MMAsia '19: ACM Multimedia Asia, Beijing, China, December 16-18, 2019, 2019

2018

An investigation into failure of Internet firms: Towards development of a conceptual model.

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[DOI]

Jiwat Ram

Zeyang Zhang

Australas. J. Inf. Syst., 2018

2015

The development of vehicle diagnostic system based on Android platform.

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[DOI]

Proceedings of the International Conference on Connected Vehicles and Expo, 2015

Zeyang Zhang

Bibliography

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