Chenghao Xu

Orcid: 0000-0002-7158-6833

According to our database1, Chenghao Xu authored at least 17 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Destination-Oriented Data Collection and Uploading for Mobile Crowdsensing With Multiagent Deep Reinforcement Learning.
IEEE Internet Things J., February, 2024

Implicit Compositional Generative Network for Length-Variable Co-Speech Gesture Synthesis.
IEEE Trans. Multim., 2024

Disrupting the Technology Innovation Efficiency of Manufacturing Enterprises Through Digital Technology Promotion: An Evidence of 5G Technology Construction in China.
IEEE Trans. Engineering Management, 2024

Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Decentralized Task Assignment for Mobile Crowdsensing With Multi-Agent Deep Reinforcement Learning.
IEEE Internet Things J., September, 2023

Intelligent Task Allocation for Mobile Crowdsensing With Graph Attention Network and Deep Reinforcement Learning.
IEEE Trans. Netw. Sci. Eng., 2023

A Decomposable Causal View of Compositional Zero-Shot Learning.
IEEE Trans. Multim., 2023

DynaPix SLAM: A Pixel-Based Dynamic SLAM Approach.
CoRR, 2023

Simulation of Dynamic Environments for SLAM.
CoRR, 2023

Learning from synthetic data generated with GRADE.
CoRR, 2023

GRADE: Generating Realistic Animated Dynamic Environments for Robotics Research.
CoRR, 2023

2022
Efficient Data Uploading for Mobile Crowdsensing via Team Collaborating and Matching.
IEEE Trans. Green Commun. Netw., 2022

An Adaptive Data Uploading Scheme for Mobile Crowdsensing via Deep Reinforcement Learning With Graph Neural Network.
IEEE Internet Things J., 2022

Attention-guided Contrastive Hashing for Long-tailed Image Retrieval.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2019
Learning-based Probabilistic Modeling and Verifying Driver Behavior using MDP.
Proceedings of the 2019 International Symposium on Theoretical Aspects of Software Engineering, 2019

2017
基于社交媒体的事件感知与多模态事件脉络生成 (Event Sensing and Multimodal Event Vein Generation Leveraging Social Media).
计算机科学, 2017


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