Zhichao Han

Orcid: 0000-0001-7617-5964

According to our database1, Zhichao Han authored at least 29 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
An Efficient Spatial-Temporal Trajectory Planner for Autonomous Vehicles in Unstructured Environments.
IEEE Trans. Intell. Transp. Syst., February, 2024

Collaborative Planning for Catching and Transporting Objects in Unstructured Environments.
IEEE Robotics Autom. Lett., February, 2024

Multi-Granularity Semantic Information Integration Graph for Cross-Modal Hash Retrieval.
IEEE Access, 2024

2023
An Efficient Trajectory Planner for Car-like Robots on Uneven Terrain.
CoRR, 2023

BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks.
CoRR, 2023

Collective Relational Inference for learning physics-consistent heterogeneous particle interactions.
CoRR, 2023

An Efficient Trajectory Planner for Car-Like Robots on Uneven Terrain.
IROS, 2023

Decentralized Planning for Car-Like Robotic Swarm in Cluttered Environments.
IROS, 2023

Attention-based convolution-recurrent neural network for cross-subject EEG emotion recognition.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023

2022
E2ENNet: An end-to-end neural network for emotional brain-computer interface.
Frontiers Comput. Neurosci., 2022

Decentralized Planning for Car-Like Robotic Swarm in Unstructured Environments.
CoRR, 2022

Differential Flatness-Based Trajectory Planning for Autonomous Vehicles.
CoRR, 2022

Modelling graph dynamics in fraud detection with "Attention".
CoRR, 2022

Learning Physics-Consistent Particle Interactions.
CoRR, 2022

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks.
Proceedings of the Learning on Graphs Conference, 2022

BRIGHT - Graph Neural Networks in Real-time Fraud Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Fast-Racing: An Open-Source Strong Baseline for $\mathrm{SE}(3)$ Planning in Autonomous Drone Racing.
IEEE Robotics Autom. Lett., 2021

xFraud: Explainable Fraud Transaction Detection.
Proc. VLDB Endow., 2021

Graph Neural Networks in Real-Time Fraud Detection with Lambda Architecture.
CoRR, 2021

Fast-Racing: An Open-source Strong Baseline for SE(3) Planning in Autonomous Drone Racing.
CoRR, 2021

DeGNN: Improving Graph Neural Networks with Graph Decomposition.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Fast-Tracker: A Robust Aerial System for Tracking Agile Target in Cluttered Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks.
CoRR, 2020

xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs.
CoRR, 2020

Adversarial Attack on Community Detection by Hiding Individuals.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019
Predicting Path Failure In Time-Evolving Graphs.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2015
Community Detection based on Distance Dynamics.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Community Detection via Local Dynamic Interaction.
CoRR, 2014


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