We stand with Ukraine

We stand with Ukraine

Zeyu Zhu

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

Known people with the same name:

Zeyu Zhuang

Bibliography

2026

STCF: Multi-View Clustering for Spatial Transcriptomics Based on Cross-View Fusion.

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IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation.

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CoRR, April, 2026

DALI: A Workload-Aware Offloading Framework for Efficient MoE Inference on Local PCs.

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CoRR, February, 2026

WenetSpeech-Wu: Datasets, Benchmarks, and Models for a Unified Chinese Wu Dialect Speech Processing Ecosystem.

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CoRR, January, 2026

Physics-informed residual learning with low-rank adaptation for unsupervised mesh generation.

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Comput. Aided Geom. Des., 2026

APEX: Integer-only Non-linear Function Approximation for Efficient Cross-Modal Inference.

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Proceedings of the Design, Automation & Test in Europe Conference, 2026

Boosting the Performance of Tree-Based Speculative Decoding of LLMs on FPGAs.

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Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

MiMo-Embodied: X-Embodied Foundation Model Technical Report.

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CoRR, November, 2025

Paper2Video: Automatic Video Generation from Scientific Papers.

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Kevin Qinghong Lin

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Mike Zheng Shou

CoRR, October, 2025

Multi-human Interactive Talking Dataset.

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Mike Zheng Shou

CoRR, August, 2025

Automated Movie Generation via Multi-Agent CoT Planning.

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Mike Zheng Shou

CoRR, March, 2025

URS: A Unified Deep Region-Growing Framework for Sperm Structure Segmentation.

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Guangming Liang

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Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering.

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SALVG: Latent Variable Gene Augmented Graph Learning for Multi-View Clustering in Spatial Transcriptomics.

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Proceedings of the 33rd ACM International Conference on Multimedia, 2025

GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing.

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Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

HEAT: NPU-NDP HEterogeneous Architecture for Transformer-Empowered Graph Neural Networks.

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Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing.

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

LISLLM: Long Context Inference of Large Language Models with Short KV Cache.

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Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

MovieBench: A Hierarchical Movie Level Dataset for Long Video Generation.

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Kevin Qinghong Lin

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Mike Zheng Shou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

RQT: Hierarchical Residual Quantization for Multi-Model Compression.

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Proceedings of the Findings of the Association for Computational Linguistics, 2025

Q-Mamba: Towards more efficient Mamba models via post-training quantization.

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Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Realisation of the transient dynamics of dimension-varying control systems.

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Int. J. Syst. Sci., January, 2024

Unsupervised hyperspectral pansharpening via low-rank diffusion model.

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Inf. Fusion, 2024

TernaryLLM: Ternarized Large Language Model.

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CoRR, 2024

Research on Restoration of Murals Based on Diffusion Model and Transformer.

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Comput. Mater. Continua, 2024

Optimal Operator-based Modeling for Open Circuit Voltage Hysteresis of LiFePO4 Batteries.

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Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Remaining Useful Life Prediction of Lithium-Ion Batteries Using Lag-Llama Model with Auto-Correlation Analysis.

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Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Uncertainty-aware Deep Imitation Learning and Deployment for Autonomous Navigation through Crowded Intersections.

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Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization.

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Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale.

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Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Learning Autonomous Control Policy for Intersection Navigation With Pedestrian Interaction.

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IEEE Trans. Intell. Veh., May, 2023

Glow and hot pixels removal using improved robust principal component analysis.

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J. Electronic Imaging, 2023

Spiking NeRF: Making Bio-inspired Neural Networks See through the Real World.

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Zhengyang Zhuge

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CoRR, 2023

Unsupervised Pansharpening via Low-rank Diffusion Model.

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CoRR, 2023

A<sup>2</sup>Q: Aggregation-Aware Quantization for Graph Neural Networks.

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CoRR, 2023

Joint Imitation Learning of Behavior Decision and Control for Autonomous Intersection Navigation.

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IROS, 2023

A Transformer-Based OFDM Receiver for Underwater Acoustic Communication.

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Proceedings of the IEEE International Conference on Signal Processing, 2023

$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

Probability-based Global Cross-modal Upsampling for Pansharpening.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Physics-Informed Integrated Modeling Method for Lithium-ion Batteries.

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Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022

A Survey of Deep RL and IL for Autonomous Driving Policy Learning.

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IEEE Trans. Intell. Transp. Syst., 2022

Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded Intersections.

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CoRR, 2022

A Thermal-Aware Digital Twin Model of Permanent Magnet Synchronous Motors (PMSM) Based on BP Neural Networks.

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Proceedings of the IEEE International Conference on Trust, 2022

2021

Country Image in COVID-19 Pandemic: A Case Study of China.

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IEEE Trans. Big Data, 2021

Electric vehicle satisfaction analysis model based on TOPSIS-entropy weight-grey relational analysis.

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Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

Research Model of Optimal Catalytic Combination Based on Machine Learning.

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Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

Design of Fire Alarm System Based on K210 and Deep Learning.

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Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

2020

Design and Application of a Case Analysis System for Handling Power Grid Operational Accidents Based on Case-Based Reasoning.

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Inf., 2020

Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning.

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Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2018

A double oracle algorithm for allocating resources on nodes in graph-based security games.

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Multim. Tools Appl., 2018

2017

A Novel Affective Visualization System for Videos Based on Acoustic and Visual Features.

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Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

M-SBIR: An Improved Sketch-Based Image Retrieval Method Using Visual Word Mapping.

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Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

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