Yihao Sun

Orcid: 0000-0003-0946-2511

According to our database1, Yihao Sun authored at least 29 papers between 2018 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Column-Oriented Datalog on the GPU.
CoRR, January, 2025

Relationship between cognitive impairment and hippocampal iron overload: A quantitative susceptibility mapping study of a rat model.
NeuroImage, 2025

Optimizing Datalog for the GPU.
Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024
Fast Semantic Segmentation of Ultra-High-Resolution Remote Sensing Images via Score Map and Fast Transformer-Based Fusion.
Remote. Sens., September, 2024

Datalog with First-Class Facts.
CoRR, 2024

WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-making.
CoRR, 2024

Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning.
CoRR, 2024

AATCT-IDS: A benchmark Abdominal Adipose Tissue CT Image Dataset for image denoising, semantic segmentation, and radiomics evaluation.
Comput. Biol. Medicine, 2024

Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Assemblage: Automatic Binary Dataset Construction for Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Policy-conditioned Environment Models are More Generalizable.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

CH-DDPMs: A Conjugate and Hybrid Diffusion Model for Low-Dose Fat CT Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

RBMO-Att-Bi-LSTM: A Red-Billed Blue Magpie Optimiser-Self-attention Mechanism Based Optimisation of Bi-Directional Long- and Short-Term Memory Networks for Classification of COVID-19 CT Images.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Large-Scale Automatic Identification of Industrial Vacant Land.
ISPRS Int. J. Geo Inf., October, 2023

GDlog: A GPU-Accelerated Deductive Engine.
CoRR, 2023

Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Model-Based Reinforcement Learning with Multi-Step Plan Value Estimation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Communication-Avoiding Recursive Aggregation.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

An IPv6-based Identity Authentication Scheme for IoT Devices in 5G Private Network.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2023

2022
ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images.
Artif. Intell. Medicine, 2022

2021
So You Want to Analyze Scheme Programs With Datalog?
CoRR, 2021

Declarative Demand-Driven Reverse Engineering.
CoRR, 2021

2020
A Content-Based Method for Sybil Detection in Online Social Networks via Deep Learning.
IEEE Access, 2020

2019
Implementation of C-RAN Architecture with CU/DU Split on a Flexible SDR Testbed.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Implementation of C-RAN Architecture with CU-CP and CU-UP Separation Based on SDR/NFV.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

A Learning-Based Bandwidth Resource Allocation Method in Sliced 5G C-RAN.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

2018
Reliability Evaluation of Tidal Current Farm Integrated Generation Systems Considering Wake Effects.
IEEE Access, 2018


  Loading...