Jiaojiao Fan

Orcid: 0000-0003-3995-3063

According to our database1, Jiaojiao Fan authored at least 25 papers between 2011 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
InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression.
CoRR, December, 2025

Point-It-Out: Benchmarking Embodied Reasoning for Vision Language Models in Multi-Stage Visual Grounding.
CoRR, September, 2025

Cosmos World Foundation Model Platform for Physical AI.
CoRR, January, 2025

Client-only Distributed Markov Chain Monte Carlo Sampling over a Network.
Trans. Mach. Learn. Res., 2025

One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Proximal Sampler with Adaptive Step Size.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models.
CoRR, 2024

One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation.
CoRR, 2024

A Chinese Continuous Sign Language Dataset Based on Complex Environments.
CoRR, 2024

A parallel framework for graphical optimal transport.
CoRR, 2024

RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Neural Monge Map estimation and its applications.
Trans. Mach. Learn. Res., 2023

Markov Chain Monte Carlo for Gaussian: A Linear Control Perspective.
IEEE Control. Syst. Lett., 2023

Generating Synthetic Datasets by Interpolating along Generalized Geodesics.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

On a Class of Gibbs Sampling over Networks.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Improved dimension dependence of a proximal algorithm for sampling.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Nesterov Smoothing for Sampling Without Smoothness.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Variational Wasserstein gradient flow.
Proceedings of the International Conference on Machine Learning, 2022

On the complexity of the optimal transport problem with graph-structured cost.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Variational Wasserstein gradient flow.
CoRR, 2021

Stein particle filtering.
CoRR, 2021

Scalable Computation of Monge Maps with General Costs.
CoRR, 2021

Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

2019
Stop-and-Wait: Discover Aggregation Effect Based on Private Car Trajectory Data.
IEEE Trans. Intell. Transp. Syst., 2019

2011
Research on the external factors of consumers releasing online comments.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011


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