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Anqi Wu
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2020 – today
- 2024
- [j6]Chengrui Li, Anqi Wu:
Inverse Kernel Decomposition. Trans. Mach. Learn. Res. 2024 (2024) - [c23]Chengrui Li, Soon Ho Kim, Chris Rodgers, Hannah Choi, Anqi Wu:
One-hot Generalized Linear Model for Switching Brain State Discovery. ICLR 2024 - [c22]Chengrui Li, Yule Wang, Weihan Li, Anqi Wu:
Forward χ2 Divergence Based Variational Importance Sampling. ICLR 2024 - [c21]Weihan Li, Chengrui Li, Yule Wang, Anqi Wu:
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions. ICML 2024 - [c20]Chengrui Li, Weihan Li, Yule Wang, Anqi Wu:
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing. ICML 2024 - [c19]Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao:
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning. ICRA 2024: 16243-16250 - [c18]Anqi Wu, Yazhen Jiang, Ronglin Tang, Zhao-Liang Li:
Enhancing Evapotranspiration Estimations Using a Single Source Energy Balance Model with Input of Composited Thermal Infrared Temperatures. IGARSS 2024: 10495-10498 - [i18]Chengrui Li, Weihan Li, Yule Wang, Anqi Wu:
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing. CoRR abs/2402.01263 (2024) - [i17]Weihan Li, Chengrui Li, Yule Wang, Anqi Wu:
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions. CoRR abs/2402.02686 (2024) - [i16]Feiyang Wu, Zhaoyuan Gu, Ye Zhao, Anqi Wu:
Learn to Teach: Improve Sample Efficiency in Teacher-student Learning for Sim-to-Real Transfer. CoRR abs/2402.06783 (2024) - [i15]Shuo Huang, William MacLean, Xiaoxi Kang, Anqi Wu, Lizhen Qu, Qiongkai Xu, Zhuang Li, Xingliang Yuan, Gholamreza Haffari:
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human. CoRR abs/2406.03749 (2024) - [i14]Weihan Li, Yule Wang, Chengrui Li, Anqi Wu:
Markovian Gaussian Process: A Universal State-Space Representation for Stationary Temporal Gaussian Process. CoRR abs/2407.00397 (2024) - 2023
- [c17]Anqi Wu, Arijit Sengupta:
Improving Accessibility of Educational Content - An Exploratory Data Analysis. ICIS 2023 - [c16]Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu:
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Model. NeurIPS 2023 - [c15]Feiyang Wu, Jingyang Ke, Anqi Wu:
Inverse Reinforcement Learning with the Average Reward Criterion. NeurIPS 2023 - [i13]Feiyang Wu, Jingyang Ke, Anqi Wu:
Inverse Reinforcement Learning with the Average Reward Criterion. CoRR abs/2305.14608 (2023) - [i12]Han Yi Chiu, Liang Zhao, Anqi Wu:
JGAT: a joint spatio-temporal graph attention model for brain decoding. CoRR abs/2306.05286 (2023) - [i11]Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu:
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Model. CoRR abs/2306.06138 (2023) - [i10]Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao:
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning. CoRR abs/2309.16074 (2023) - [i9]Chengrui Li, Soon Ho Kim, Chris Rodgers, Hannah Choi
, Anqi Wu:
One-hot Generalized Linear Model for Switching Brain State Discovery. CoRR abs/2310.15263 (2023) - [i8]Chengrui Li, Yule Wang, Weihan Li, Anqi Wu:
Forward χ2 Divergence Based Variational Importance Sampling. CoRR abs/2311.02516 (2023) - 2022
- [c14]Anqi Wu, Aravinda Garimella, Ramanath Subramanyam, Eren Ahsen:
Disaster Management Through Digital Platforms: Online Crowdfunding Communities Respond to the COVID-19 Pandemic. HICSS 2022: 1-10 - [c13]Anqi Wu, Qiqi Zhu:
HFL-Net: Highlight Foreground and Local Scale Features Network for Cross-Domain Ship Detection. IGARSS 2022: 2658-2661 - [i7]Ari Blau, Christoph Gebhardt, Andrés Bendesky, Liam Paninski, Anqi Wu:
SemiMultiPose: A Semi-supervised Multi-animal Pose Estimation Framework. CoRR abs/2204.07072 (2022) - [i6]Chengrui Li, Anqi Wu:
Inverse Kernel Decomposition. CoRR abs/2211.05961 (2022) - 2021
- [j5]Xue Yang, Yanjia Cao
Accessibility Assessment of Buildings Based on Multi-Source Spatial Data: Taking Wuhan as a Case Study. ISPRS Int. J. Geo Inf. 10(10): 701 (2021) - [j4]Anqi Wu
Brain kernel: A new spatial covariance function for fMRI data. NeuroImage 245: 118580 (2021) - [j3]Matthew R. Whiteway
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders. PLoS Comput. Biol. 17(9) (2021) - [c12]Anqi Wu, Aravinda Garimella, Ramanath Subramanyam:
Could Government Measures Crowd Out Grassroots Philanthropy? Empirical Evidence from an Education Crowdfunding Platform. HICSS 2021: 1-10 - [c11]Felix Pei, Joel Ye, David M. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath:
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. NeurIPS Datasets and Benchmarks 2021 - [i5]Felix Pei, Joel Ye, David M. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath:
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. CoRR abs/2109.04463 (2021) - [i4]Anqi Wu:
Domain Generalization via Domain-based Covariance Minimization. CoRR abs/2110.06298 (2021) - 2020
- [c10]Yizhong Xu, Siyi Cao, Jiafang Ji, Qin Xiao, Anqi Wu, Xiuyuan Wang:
Differentiated Prosodic Adaption of Chinese and English Poetry: An Acoustic Approach to Reading of Chinese Tang Poetry and Shakespearean Sonnets. APSIPA 2020: 211-215 - [c9]Anqi Wu, Estefany Kelly Buchanan, Matthew R. Whiteway, Michael Schartner, Guido Meijer, Jean-Paul Noel, Erica Rodriguez, Claire Everett, Amy Norovich, Evan Schaffer, Neeli Mishra, C. Daniel Salzman, Dora E. Angelaki, Andrés Bendesky, International Brain Laboratory, John P. Cunningham, Liam Paninski:
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking. NeurIPS 2020 - [i3]Ming Bo Cai, Michael Shvartsman, Anqi Wu, Hejia Zhang, Xia Zhu:
Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis. CoRR abs/2005.04879 (2020)
2010 – 2019
- 2019
- [b1]Anqi Wu:
Bayesian latent structure discovery for large-scale neural recordings. Princeton University, USA, 2019 - [j2]Anqi Wu, Oluwasanmi Koyejo, Jonathan W. Pillow
Dependent relevance determination for smooth and structured sparse regression. J. Mach. Learn. Res. 20: 89:1-89:43 (2019) - [c8]Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, José Miguel Hernández-Lobato, Alexander L. Gaunt:
Deterministic Variational Inference for Robust Bayesian Neural Networks. ICLR 2019 - [c7]Qi She, Anqi Wu:
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks. UAI 2019: 454-464 - [i2]Qi She, Anqi Wu:
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks. CoRR abs/1907.00650 (2019) - 2018
- [c6]Anqi Wu, Dharma Kwon, Sung Kim:
Reputation in Repeated Pay-to-Bid Auctions. AMCIS 2018 - [c5]Anqi Wu, Stan L. Pashkovski, Sandeep R. Datta, Jonathan W. Pillow:
Learning a latent manifold of odor representations from neural responses in piriform cortex. NeurIPS 2018: 5383-5393 - [i1]Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, José Miguel Hernández-Lobato, Alexander L. Gaunt:
Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks. CoRR abs/1810.03958 (2018) - 2017
- [c4]Anqi Wu, Nicholas A. Roy, Stephen L. Keeley, Jonathan W. Pillow:
Gaussian process based nonlinear latent structure discovery in multivariate spike train data. NIPS 2017: 3496-3505 - 2015
- [c3]Anqi Wu, Il Memming Park, Jonathan W. Pillow:
Convolutional spike-triggered covariance analysis for neural subunit models. NIPS 2015: 793-801 - 2014
- [c2]Anqi Wu, Mijung Park, Oluwasanmi Koyejo, Jonathan W. Pillow:
Sparse Bayesian structure learning with dependent relevance determination priors. NIPS 2014: 1628-1636 - 2013
- [c1]Yintao Liu, Anqi Wu, Dong Guo, Ke-Thia Yao, Cauligi S. Raghavendra:
Weighted Task Regularization for Multitask Learning. ICDM Workshops 2013: 399-406 - 2011
- [j1]Daren Yu, Xiao Yu, Qinghua Hu, Jinfu Liu, Anqi Wu
Dynamic time warping constraint learning for large margin nearest neighbor classification. Inf. Sci. 181(13): 2787-2796 (2011)
Coauthor Index
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