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Research on Scrabble Prediction Based on Neural Network Model

2023 IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE), 2023, p.688-692

2023

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HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks

Proceedings of the ACM Web Conference 2024, 2024, p.1015-1023

2024

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A Medical Pre-diagnosis Scheme Based on Neural Network and Inner Product Function Encryption

2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI), 2023, p.93-97

2023

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Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective

Companion Proceedings of the ACM Web Conference 2024, 2024, p.790-793

2024

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Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022, p.1481-1490

2022

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RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers

2022 IEEE 30th International Requirements Engineering Conference (RE), 2022, p.153-165

2022

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A fatal case of systemic lupus erythematosus complicated by macrophage activation syndrome, portal vein thrombosis and acute colitis

International journal of rheumatic diseases, 2017, Vol.20 (11), p.1805-1807

2017

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Bayesian Loss for Crowd Count Estimation With Point Supervision

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.6141-6150

2019

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Transductive Semi-Supervised Deep Learning Using Min-Max Features

Computer Vision – ECCV 2018, p.311-327

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Towards A Universal Model for Cross-Dataset Crowd Counting

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.3185-3194

2021

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An Audio Correlation-Based Graph Neural Network for Depression Recognition

Pattern Recognition and Computer Vision, p.391-403

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Anomaly Detection Via Self-Organizing Map

2021 IEEE International Conference on Image Processing (ICIP), 2021, p.974-978

2021

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Class Incremental Learning for Video Action Classification

2021 IEEE International Conference on Image Processing (ICIP), 2021, p.504-508

2021

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PLPL-VIO: A Novel Probabilistic Line Measurement Model for Point-Line-Based Visual-Inertial Odometry

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, p.5211-5218

2023

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Simulation of Electrode Erosion under DC Air Arc

2018 IEEE Holm Conference on Electrical Contacts, 2018, p.495-500

2018

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Learning Scales from Points: A Scale-aware Probabilistic Model for Crowd Counting

Proceedings of the 28th ACM International Conference on Multimedia, 2020, p.220-228

2020

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Deep Learning Features Inspired Saliency Detection of 3D Images

Advances in Multimedia Information Processing - PCM 2016, 2016, Vol.9917, p.580-589

2016

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Research on Scrabble Prediction Based on Neural Network Model

HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks

A Medical Pre-diagnosis Scheme Based on Neural Network and Inner Product Function Encryption

Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective

Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting

RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers

A fatal case of systemic lupus erythematosus complicated by macrophage activation syndrome, portal vein thrombosis and acute colitis

Bayesian Loss for Crowd Count Estimation With Point Supervision

Transductive Semi-Supervised Deep Learning Using Min-Max Features

Towards A Universal Model for Cross-Dataset Crowd Counting

An Audio Correlation-Based Graph Neural Network for Depression Recognition

Anomaly Detection Via Self-Organizing Map

Class Incremental Learning for Video Action Classification

PLPL-VIO: A Novel Probabilistic Line Measurement Model for Point-Line-Based Visual-Inertial Odometry

A Two-Stage Federated Learning Framework for Class Imbalance in Aerial Scene Classification

Constructing Multiple Domain Taxonomy for Text Processing Tasks

High Power-Efficient and Performance-Density FPGA Accelerator for CNN-Based Object Detection

Analyzing and geo-visualizing individual human mobility patterns using mobile call records

Simulation of Electrode Erosion under DC Air Arc

Learning Scales from Points: A Scale-aware Probabilistic Model for Crowd Counting

Deep Learning Features Inspired Saliency Detection of 3D Images

cGAN-Based Lacquer Cracks Segmentation in ICGA Image

Cost Optimal Resource Provisioning for Live Video Forwarding Across Video Data Centers

Smart Grid Information Security Assessment Model Based on Correlation Index

Learning to Count via Unbalanced Optimal Transport

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