Qingwen Bu

Orcid: 0009-0001-0270-3004

According to our database1, Qingwen Bu authored at least 24 papers between 2022 and 2026.

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

2026
Seeing Farther and Smarter: Value-Guided Multi-Path Reflection for VLM Policy Optimization.
CoRR, February, 2026

χ<sub>0</sub>: Resource-Aware Robust Manipulation via Taming Distributional Inconsistencies.
CoRR, February, 2026

Bias Testing and Mitigation in LLM-based Code Generation.
ACM Trans. Softw. Eng. Methodol., January, 2026

2025
WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control.
CoRR, December, 2025

Agility Meets Stability: Versatile Humanoid Control with Heterogeneous Data.
CoRR, November, 2025

UniVLA: Learning to Act Anywhere with Task-centric Latent Actions.
CoRR, May, 2025

AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.
CoRR, March, 2025

Two Heads are Better than One: Robust Learning Meets Multi-branch Models.
Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

2024
Neuron Sensitivity-Guided Test Case Selection.
ACM Trans. Softw. Eng. Methodol., September, 2024

Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation.
CoRR, 2024

Learning Manipulation by Predicting Interaction.
Proceedings of the Robotics: Science and Systems XX, 2024

Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Adversarial Feature Map Pruning for Backdoor.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Embodied Understanding of Driving Scenarios.
Proceedings of the Computer Vision - ECCV 2024, 2024

SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation.
CoRR, 2023

Bias Assessment and Mitigation in LLM-based Code Generation.
CoRR, 2023

SRFormer: Empowering Regression-Based Text Detection Transformer with Segmentation.
CoRR, 2023

CodeCoT and Beyond: Learning to Program and Test like a Developer.
CoRR, 2023

FMT: Removing Backdoor Feature Maps via Feature Map Testing in Deep Neural Networks.
CoRR, 2023

Feature Map Testing for Deep Neural Networks.
CoRR, 2023

Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing.
CoRR, 2023

Towards Building More Robust Models with Frequency Bias.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Two Heads are Better than One: Robust Learning Meets Multi-branch Models.
CoRR, 2022


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