Anqi Wu
Orcid: 0000-0002-7866-9455
According to our database1,
Anqi Wu
authored at least 40 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models.
CoRR, 2024
Markovian Gaussian Process: A Universal State-Space Representation for Stationary Temporal Gaussian Process.
CoRR, 2024
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human.
CoRR, 2024
Learn to Teach: Improve Sample Efficiency in Teacher-student Learning for Sim-to-Real Transfer.
CoRR, 2024
Enhancing Evapotranspiration Estimations Using a Single Source Energy Balance Model with Input of Composited Thermal Infrared Temperatures.
Proceedings of the IGARSS 2024, 2024
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
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
Proceedings of the 44th International Conference on Information Systems, 2023
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
Accessibility Assessment of Buildings Based on Multi-Source Spatial Data: Taking Wuhan as a Case Study.
ISPRS Int. J. Geo Inf., 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
PhD thesis, 2019
J. Mach. Learn. Res., 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
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
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
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
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