Kun Wu

Orcid: 0000-0003-2095-2140

Affiliations:
  • Syracuse University, USA


According to our database1, Kun Wu authored at least 14 papers between 2019 and 2024.

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Bibliography

2024
Human Pose Transfer with Augmented Disentangled Feature Consistency.
ACM Trans. Intell. Syst. Technol., February, 2024

A Survey on Robotics with Foundation Models: toward Embodied AI.
CoRR, 2024

An Efficient Generalizable Framework for Visuomotor Policies via Control-aware Augmentation and Privilege-guided Distillation.
CoRR, 2024

SWBT: Similarity Weighted Behavior Transformer with the Imperfect Demonstration for Robotic Manipulation.
CoRR, 2024

2023
Multi-Clue Reasoning with Memory Augmentation for Knowledge-based Visual Question Answering.
CoRR, 2023

Cross-Modal Reasoning with Event Correlation for Video Question Answering.
CoRR, 2023

2022
Continual Few-Shot Learning with Adversarial Class Storage.
CoRR, 2022

CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
PnP-DRL: A Plug-and-Play Deep Reinforcement Learning Approach for Experience-Driven Networking.
IEEE J. Sel. Areas Commun., 2021

Human Pose Transfer with Disentangled Feature Consistency.
CoRR, 2021

EXTRA: An Experience-driven Control Framework for Distributed Stream Data Processing with a Variable Number of Threads.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Hierarchical Graph Attention Network for Few-shot Visual-Semantic Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
A Sybil-Resistant Truth Discovery Framework for Mobile Crowdsensing.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019


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