Zengyi Qin

Orcid: 0000-0002-5477-9764

According to our database1, Zengyi Qin authored at least 14 papers between 2019 and 2024.

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

Timeline

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Links

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Bibliography

2024
JetMoE: Reaching Llama2 Performance with 0.1M Dollars.
CoRR, 2024

2023
OpenVoice: Versatile Instant Voice Cloning.
CoRR, 2023

2022
Controller Synthesis for Linear System With Reach-Avoid Specifications.
IEEE Trans. Autom. Control., 2022

Sablas: Learning Safe Control for Black-Box Dynamical Systems.
IEEE Robotics Autom. Lett., 2022

MonoGRNet: A General Framework for Monocular 3D Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021
Reactive and Safe Road User Simulations using Neural Barrier Certificates.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Density Constrained Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates.
Proceedings of the 9th International Conference on Learning Representations, 2021

Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Weakly Supervised 3D Object Detection from Point Clouds.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

KETO: Learning Keypoint Representations for Tool Manipulation.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
sEMG-Based Tremor Severity Evaluation for Parkinson's Disease Using a Light-Weight CNN.
IEEE Signal Process. Lett., 2019

Triangulation Learning Network: From Monocular to Stereo 3D Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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