Anqi Wu

Orcid: 0000-0002-7866-9455

According to our database1, Anqi Wu authored at least 33 papers between 2011 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Learn to Teach: Improve Sample Efficiency in Teacher-student Learning for Sim-to-Real Transfer.
CoRR, 2024

Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions.
CoRR, 2024

A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing.
CoRR, 2024

2023
Forward χ<sup>2</sup> Divergence Based Variational Importance Sampling.
CoRR, 2023

One-hot Generalized Linear Model for Switching Brain State Discovery.
CoRR, 2023

Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning.
CoRR, 2023

JGAT: a joint spatio-temporal graph attention model for brain decoding.
CoRR, 2023

Inverse Reinforcement Learning with the Average Reward Criterion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Inverse Kernel Decomposition.
CoRR, 2022

SemiMultiPose: A Semi-supervised Multi-animal Pose Estimation Framework.
CoRR, 2022

HFL-Net: Highlight Foreground and Local Scale Features Network for Cross-Domain Ship Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Disaster Management Through Digital Platforms: Online Crowdfunding Communities Respond to the COVID-19 Pandemic.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders.
PLoS Comput. Biol., 2021

Brain kernel: A new spatial covariance function for fMRI data.
NeuroImage, 2021

Accessibility Assessment of Buildings Based on Multi-Source Spatial Data: Taking Wuhan as a Case Study.
ISPRS Int. J. Geo Inf., 2021

Domain Generalization via Domain-based Covariance Minimization.
CoRR, 2021

Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Could Government Measures Crowd Out Grassroots Philanthropy? Empirical Evidence from an Education Crowdfunding Platform.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020
Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis.
CoRR, 2020

Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Differentiated Prosodic Adaption of Chinese and English Poetry: An Acoustic Approach to Reading of Chinese Tang Poetry and Shakespearean Sonnets.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Dependent relevance determination for smooth and structured sparse regression.
J. Mach. Learn. Res., 2019

Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Deterministic Variational Inference for Robust Bayesian Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks.
CoRR, 2018

Learning a latent manifold of odor representations from neural responses in piriform cortex.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Reputation in Repeated Pay-to-Bid Auctions.
Proceedings of the 24th Americas Conference on Information Systems, 2018

2017
Gaussian process based nonlinear latent structure discovery in multivariate spike train data.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015
Convolutional spike-triggered covariance analysis for neural subunit models.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Sparse Bayesian structure learning with dependent relevance determination priors.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Weighted Task Regularization for Multitask Learning.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2011
Dynamic time warping constraint learning for large margin nearest neighbor classification.
Inf. Sci., 2011


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