Anqi Wu - RankMe

70 papers A* 13A 1C 4Journal 41Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Hitchhiker's Guide to Poisson Gradient Estimation. CoRR Michael Ibrahim, Hanqi Zhao, Eli Sennesh, Zhi Li, Anqi Wu, Jacob L. Yates, Chengrui Li, Hadi Vafaii
2026	J	`jnl`	BehaviorVLM: Unified Finetuning-Free Behavioral Understanding with Vision-Language Reasoning. CoRR Jingyang Ke, Weihan Li, Amartya Pradhan, Jeffrey Markowitz, Anqi Wu
2026	J	`jnl`	Enhancing Swin Transformer-Based Bearing Fault Diagnosis by Leveraging CNN Pre-Processing. IEEE Access Mintao Zhang, Junyuan Huang, Jin Zhang, Zhuoyi Qian, Xueqian Yang, Yanhao Chen, Anqi Wu, Yuhang Tang
2025	J	`jnl`	A Disentangled Low-Rank RNN Framework for Uncovering Neural Connectivity and Dynamics. CoRR Chengrui Li, Yunmiao Wang, Yule Wang, Weihan Li, Dieter Jaeger, Anqi Wu
2025	J	`jnl`	A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement. CoRR Chengrui Li, Yunmiao Wang, Yule Wang, Weihan Li, Dieter Jaeger, Anqi Wu
2025	J	`jnl`	Cluster Assumption-Guided Timestamp-Supervised Temporal Action Segmentation. IEEE Trans. Multim. Ziyou Ren, Guozhang Li, Nan Cheng, Anqi Wu, Nannan Wang, Xinbo Gao
2025	J	`jnl`	DMAE-EEG: A Pretraining Framework for EEG Spatiotemporal Representation Learning. IEEE Trans. Neural Networks Learn. Syst. Yifan Zhang, Yang Yu, Hao Li, Anqi Wu, Xin Chen, Jinfang Liu, Ling-Li Zeng, Dewen Hu
2025	J	`jnl`	Distributional Inverse Reinforcement Learning. CoRR Feiyang Wu, Ye Zhao, Anqi Wu
2025	J	`jnl`	EmoBipedNav: Emotion-aware Social Navigation for Bipedal Robots with Deep Reinforcement Learning. CoRR Wei Zhu, Abirath Raju, Abdulaziz Shamsah, Anqi Wu, Seth A. Hutchinson, Ye Zhao
2025	C	`conf`	Fostering or Hindering Sales? Overlapping Influencer Followers in Live Streaming E-Commerce. ICIS Jingyun Hu, Anqi Wu
2025	J	`jnl`	Hierarchical Diffusion Motion Planning with Task-Conditioned Uncertainty-Aware Priors. CoRR Amelie Minji Kim, Anqi Wu, Ye Zhao
2025	A*	`conf`	Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors. ICML Jingyang Ke, Feiyang Wu, Jiyi Wang, Jeffrey Markowitz, Anqi Wu
2025	J	`jnl`	Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors. CoRR Jingyang Ke, Feiyang Wu, Jiyi Wang, Jeffrey Markowitz, Anqi Wu
2025	J	`jnl`	Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion Over Real-World Uneven Terrain. IEEE Robotics Autom. Lett. Feiyang Wu, Xavier Nal, Jaehwi Jang, Wei Zhu, Zhaoyuan Gu, Anqi Wu, Ye Zhao
2025	J	`jnl`	Learning Task-Agnostic Skill Bases to Uncover Motor Primitives in Animal Behaviors. CoRR Jiyi Wang, Jingyang Ke, Bo Dai, Anqi Wu
2025	A*	`conf`	Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes. ICML Weihan Li, Yule Wang, Chengrui Li, Anqi Wu
2025	J	`jnl`	Optimizing Latent Heat Flux Calculation via Composited Thermal Infrared Temperatures. IEEE Trans. Geosci. Remote. Sens. Yazhen Jiang, Jianing Zhao, Anqi Wu, Menglin Si, Zunjian Bian, Ronglin Tang, Zhao-Liang Li
2025	A*	`conf`	Towards Fairness with Limited Demographics via Disentangled Learning. IJCAI Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart P. Knijnenburg, Xingquan Zhu, Wenbin Zhang
2025	J	`jnl`	Uncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided Diffusion. CoRR Yule Wang, Joseph Yu, Chengrui Li, Weihan Li, Anqi Wu
2025	J	`jnl`	When Top-Down Meets Bottom-Up: Legislative Signals and Online Crowdfunding. Inf. Syst. Res. Anqi Wu, Aravinda Garimella, Ramanath Subramanyam
2024	A*	`conf`	A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing. ICML Chengrui Li, Weihan Li, Yule Wang, Anqi Wu
2024	J	`jnl`	A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing. CoRR Chengrui Li, Weihan Li, Yule Wang, Anqi Wu
2024	C	`conf`	Enhancing Evapotranspiration Estimations Using a Single Source Energy Balance Model with Input of Composited Thermal Infrared Temperatures. IGARSS Anqi Wu, Yazhen Jiang, Ronglin Tang, Zhao-Liang Li
2024	A*	`conf`	Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models. NeurIPS Yule Wang, Chengrui Li, Weihan Li, Anqi Wu
2024	J	`jnl`	Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models. CoRR Yule Wang, Chengrui Li, Weihan Li, Anqi Wu
2024	A*	`conf`	Forward χ2 Divergence Based Variational Importance Sampling. ICLR Chengrui Li, Yule Wang, Weihan Li, Anqi Wu
2024	A*	`conf`	Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning. ICRA Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao
2024	J	`jnl`	Inverse Kernel Decomposition. Trans. Mach. Learn. Res. Chengrui Li, Anqi Wu
2024	J	`jnl`	Learn to Teach: Improve Sample Efficiency in Teacher-student Learning for Sim-to-Real Transfer. CoRR Feiyang Wu, Zhaoyuan Gu, Ye Zhao, Anqi Wu
2024	J	`jnl`	Markovian Gaussian Process: A Universal State-Space Representation for Stationary Temporal Gaussian Process. CoRR Weihan Li, Yule Wang, Chengrui Li, Anqi Wu
2024	A*	`conf`	Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions. ICML Weihan Li, Chengrui Li, Yule Wang, Anqi Wu
2024	J	`jnl`	Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions. CoRR Weihan Li, Chengrui Li, Yule Wang, Anqi Wu
2024	J	`jnl`	NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human. CoRR Shuo Huang, William MacLean, Xiaoxi Kang, Anqi Wu, Lizhen Qu, Qiongkai Xu, Zhuang Li, Xingliang Yuan, Gholamreza Haffari
2024	A*	`conf`	One-hot Generalized Linear Model for Switching Brain State Discovery. ICLR Chengrui Li, Soon Ho Kim, Chris Rodgers, Hannah Choi, Anqi Wu
2023	A*	`conf`	Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Model. NeurIPS Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu
2023	J	`jnl`	Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Model. CoRR Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu
2023	J	`jnl`	Forward χ CoRR Chengrui Li, Yule Wang, Weihan Li, Anqi Wu
2023	C	`conf`	Improving Accessibility of Educational Content - An Exploratory Data Analysis. ICIS Anqi Wu, Arijit Sengupta
2023	J	`jnl`	Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning. CoRR Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao
2023	A*	`conf`	Inverse Reinforcement Learning with the Average Reward Criterion. NeurIPS Feiyang Wu, Jingyang Ke, Anqi Wu
2023	J	`jnl`	Inverse Reinforcement Learning with the Average Reward Criterion. CoRR Feiyang Wu, Jingyang Ke, Anqi Wu
2023	J	`jnl`	JGAT: a joint spatio-temporal graph attention model for brain decoding. CoRR Han Yi Chiu, Liang Zhao, Anqi Wu
2023	J	`jnl`	One-hot Generalized Linear Model for Switching Brain State Discovery. CoRR Chengrui Li, Soon Ho Kim, Chris Rodgers, Hannah Choi, Anqi Wu
2022	—	`conf`	Disaster Management Through Digital Platforms: Online Crowdfunding Communities Respond to the COVID-19 Pandemic. HICSS Anqi Wu, Aravinda Garimella, Ramanath Subramanyam, Eren Ahsen
2022	C	`conf`	HFL-Net: Highlight Foreground and Local Scale Features Network for Cross-Domain Ship Detection. IGARSS Anqi Wu, Qiqi Zhu
2022	J	`jnl`	Inverse Kernel Decomposition. CoRR Chengrui Li, Anqi Wu
2022	J	`jnl`	SemiMultiPose: A Semi-supervised Multi-animal Pose Estimation Framework. CoRR Ari Blau, Christoph Gebhardt, Andrés Bendesky, Liam Paninski, Anqi Wu
2021	J	`jnl`	Accessibility Assessment of Buildings Based on Multi-Source Spatial Data: Taking Wuhan as a Case Study. ISPRS Int. J. Geo Inf. Xue Yang, Yanjia Cao, Anqi Wu, Mingqiang Guo, Zhen Dong, Luliang Tang
2021	J	`jnl`	Brain kernel: A new spatial covariance function for fMRI data. NeuroImage Anqi Wu, Samuel A. Nastase, Christopher Baldassano, Nicholas B. Turk-Browne, Kenneth A. Norman, Barbara E. Engelhardt, Jonathan W. Pillow
2021	—	`conf`	Could Government Measures Crowd Out Grassroots Philanthropy? Empirical Evidence from an Education Crowdfunding Platform. HICSS Anqi Wu, Aravinda Garimella, Ramanath Subramanyam
2021	J	`jnl`	Domain Generalization via Domain-based Covariance Minimization. CoRR Anqi Wu
2021	—	`conf`	Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. NeurIPS Datasets and Benchmarks 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
2021	J	`jnl`	Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. CoRR 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
2021	J	`jnl`	Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders. PLoS Comput. Biol. Matthew R. Whiteway, Dan Biderman, Yoni Friedman, Mario Dipoppa, Estefany Kelly Buchanan, Anqi Wu, John Zhou, Niccolò Bonacchi, Nathaniel J. Miska, Jean-Paul Noel, Erica Rodriguez, Michael Schartner, Karolina Socha, Anne E. Urai, C. Daniel Salzman, International Brain Laboratory, John P. Cunningham, Liam Paninski
2020	A*	`conf`	Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking. NeurIPS 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
2020	—	`conf`	Differentiated Prosodic Adaption of Chinese and English Poetry: An Acoustic Approach to Reading of Chinese Tang Poetry and Shakespearean Sonnets. APSIPA Yizhong Xu, Siyi Cao, Jiafang Ji, Qin Xiao, Anqi Wu, Xiuyuan Wang
2020	J	`jnl`	Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis. CoRR Ming Bo Cai, Michael Shvartsman, Anqi Wu, Hejia Zhang, Xia Zhu
2019	—	`—`	Bayesian latent structure discovery for large-scale neural recordings Anqi Wu
2019	J	`jnl`	Dependent relevance determination for smooth and structured sparse regression. J. Mach. Learn. Res. Anqi Wu, Oluwasanmi Koyejo, Jonathan W. Pillow
2019	—	`conf`	Deterministic Variational Inference for Robust Bayesian Neural Networks. ICLR Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, José Miguel Hernández-Lobato, Alexander L. Gaunt
2019	A	`conf`	Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks. UAI Qi She, Anqi Wu
2019	J	`jnl`	Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks. CoRR Qi She, Anqi Wu
2018	J	`jnl`	Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks. CoRR Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, José Miguel Hernández-Lobato, Alexander L. Gaunt
2018	A*	`conf`	Learning a latent manifold of odor representations from neural responses in piriform cortex. NeurIPS Anqi Wu, Stan L. Pashkovski, Sandeep R. Datta, Jonathan W. Pillow
2018	—	`conf`	Reputation in Repeated Pay-to-Bid Auctions. AMCIS Anqi Wu, Dharma Kwon, Sung Kim
2017	—	`conf`	Gaussian process based nonlinear latent structure discovery in multivariate spike train data. NIPS Anqi Wu, Nicholas A. Roy, Stephen L. Keeley, Jonathan W. Pillow
2015	—	`conf`	Convolutional spike-triggered covariance analysis for neural subunit models. NIPS Anqi Wu, Il Memming Park, Jonathan W. Pillow
2014	—	`conf`	Sparse Bayesian structure learning with dependent relevance determination priors. NIPS Anqi Wu, Mijung Park, Oluwasanmi Koyejo, Jonathan W. Pillow
2013	—	`conf`	Weighted Task Regularization for Multitask Learning. ICDM Workshops Yintao Liu, Anqi Wu, Dong Guo, Ke-Thia Yao, Cauligi S. Raghavendra
2011	J	`jnl`	Dynamic time warping constraint learning for large margin nearest neighbor classification. Inf. Sci. Daren Yu, Xiao Yu, Qinghua Hu, Jinfu Liu, Anqi Wu