Chenghao Li

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

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Bibliography

2024
Fast and isolation guaranteed coflow scheduling via traffic forecasting in multi-tenant environment.
J. Supercomput., December, 2024

A Multi-Level Operation Method for Improving the Resilience of Power Systems under Extreme Weather through Preventive Control and a Virtual Oscillator.
Sensors, March, 2024

Structure-Based Discovery of the SARS-CoV-2 Main Protease Noncovalent Inhibitors from Traditional Chinese Medicine.
J. Chem. Inf. Model., February, 2024

AMGCN: adaptive multigraph convolutional networks for traffic speed forecasting.
Appl. Intell., February, 2024

Toward a deeper understanding: RetNet viewed through Convolution.
Pattern Recognit., 2024

A CSMA/CA based MAC protocol for hybrid Power-line/Visible-light communication networks: Design and analysis.
Digit. Commun. Networks, 2024

Pyramid-Monozone Synergistic Grasping Policy in Dense Clutter.
CoRR, 2024

An Efficient Deep Reinforcement Learning Model for Online 3D Bin Packing Combining Object Rearrangement and Stable Placement.
CoRR, 2024

A SAM-guided Two-stream Lightweight Model for Anomaly Detection.
CoRR, 2024

Unrestricted Error-Type Codebook Generation for Error Correction Code in DNA Storage Inspired by NLP.
CoRR, 2024

LKCA: Large Kernel Convolutional Attention.
CoRR, 2024

Keyframe-guided Video Swin Transformer with Multi-path Excitation for Violence Detection.
Comput. J., 2024

Safety-Optimized Strategy for Grasp Detection in High-Clutter Scenarios.
Proceedings of the 21st International Conference on Ubiquitous Robots, 2024

Demystifying Compiler Unstable Feature Usage and Impacts in the Rust Ecosystem.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2024

DIA: Diffusion based Inverse Network Attack on Collaborative Inference.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Large Scale Training of Graph Neural Networks for Optimal Markov-Chain Partitioning Using the Kemeny Constant.
CoRR, 2023

Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape.
CoRR, 2023

CNN or ViT? Revisiting Vision Transformers Through the Lens of Convolution.
CoRR, 2023

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering.
CoRR, 2023

When ChatGPT for Computer Vision Will Come? From 2D to 3D.
CoRR, 2023

Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era.
CoRR, 2023

One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era.
CoRR, 2023

A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
CoRR, 2023

Outdoor Simultaneous Localization and Mapping by Using Millimeter Wave Radar.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

An Experiential-Led Predictive Control for Enhancing Occupant Thermal Comfort and Reducing Energy Consumption of Heating Systems.
Proceedings of the 28th International Conference on Automation and Computing, 2023

SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RNA-ViT: Reduced-Dimension Approximate Normalized Attention Vision Transformers for Latency Efficient Private Inference.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022
ADTIDO: Detecting the Tired Deck Officer with Fusion Feature Methods.
Sensors, 2022

In-and-Out: a data augmentation technique for computer vision tasks.
J. Electronic Imaging, 2022

Data Augmentation Algorithm Based on Local Dynamic Transformation.
Proceedings of the International Conference on Artificial Intelligence, 2022


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