Linqi Zhou

According to our database1, Linqi Zhou authored at least 21 papers between 2008 and 2024.

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Bibliography

2024
Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation.
CoRR, 2024

Denoising Diffusion Bridge Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DiffusionSat: A Generative Foundation Model for Satellite Imagery.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Diffusion Model Alignment Using Direct Preference Optimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
AO-Grasp: Articulated Object Grasp Generation.
CoRR, 2023

Deep Latent State Space Models for Time-Series Generation.
Proceedings of the International Conference on Machine Learning, 2023

Curious Replay for Model-based Adaptation.
Proceedings of the International Conference on Machine Learning, 2023

2022
3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models.
CoRR, 2022

ButterflyFlow: Building Invertible Layers with Butterfly Matrices.
Proceedings of the International Conference on Machine Learning, 2022

2021
Emergence of Theory of Mind Collaboration in Multiagent Systems.
CoRR, 2021

3D Shape Generation and Completion through Point-Voxel Diffusion.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference.
Proceedings of the Computer Vision - ECCV 2020, 2020

Joint Training of Variational Auto-Encoder and Latent Energy-Based Model.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Learning Deep Generative Models with Short Run Inference Dynamics.
CoRR, 2019

Deep Unsupervised Clustering with Clustered Generator Model.
CoRR, 2019

Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge.
CoRR, 2019

2015
Lustre文件系统元数据服务恢复机制的改进 (Improvement of Recovery Mechanism for Lustre Metadata Service).
计算机科学, 2015

2011
Research on Random Noise Attenuation in Transform Domain.
Proceedings of the Second International Conference on Digital Manufacturing and Automation, 2011

2008
The effects of protein interactions, gene essentiality and regulatory regions on expression variation.
BMC Syst. Biol., 2008


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