Hu Tian

According to our database1, Hu Tian authored at least 27 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Robust Monitor for Industrial IoT Condition Prediction.
IEEE Internet Things J., May, 2023

2022
Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode.
IEEE Trans. Comput. Soc. Syst., 2022

Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions.
INFORMS J. Comput., 2022

Deep Causal Learning: Representation, Discovery and Inference.
CoRR, 2022

Self-Training Based Semi-Supervised and Semi-Paired Hashing Cross-Modal Retrieval.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
∊-k anonymization and adversarial training of graph neural networks for privacy preservation in social networks.
Electron. Commer. Res. Appl., 2021

Analyzing the Hidden Causal Interactions in Large-Scale Social Networks: A Case Study on GameStop.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

A GNN-based Few-shot learning model on the Credit Card Fraud detection.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2020
A Visualization Analysis of China?s Leisure Sports Research.
J. Vis. Lang. Comput., 2020

Analyzing the Evolutionary Characteristics of the Cluster of COVID-19 under Anti-contagion Policies.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020

Improving the Data Quality for Credit Card Fraud Detection.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020

A Visualization Analysis of China's Leisure Sports Research (P).
Proceedings of the 26th International DMS Conference on Visualization and Visual Languages, 2020

2019
Autoencoder-Based Fabric Defect Detection with Cross- Patch Similarity.
Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Semi-supervised Depth Estimation from a Single Image Based on Confidence Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Graph-Based Semi-Supervised Fraud Detection Framework.
Proceedings of the 4th IEEE International Conference on Cybernetics, 2019

2018
Depth Prediction From a Single Image with 3D Consistency.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Color Mapping for 3D Geometric Models without Reference Image Locations.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Accurate multi-view stereo by selective expansion.
Proceedings of the 3DTV Conference: The True Vision, 2017

2016
Depth estimation with convolutional conditional random field network.
Neurocomputing, 2016

Color-guided depth refinement based on edge alignment.
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016

2015
Cross-modal correlation learning with deep convolutional architecture.
Proceedings of the 2015 Visual Communications and Image Processing, 2015

2014
Depth inference with convolutional neural network.
Proceedings of the 2014 IEEE Visual Communications and Image Processing Conference, 2014

An output aggregation system for large scale cross-modal retrieval.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014

Depth extraction from a single image by sampling based on distance metric learning.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Recovering depth of background and foreground from a monocular video with camera motion.
Proceedings of the 2013 Visual Communications and Image Processing, 2013

A probabilistic saliency model with memory-guided top-down cues for free-viewing.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013


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