Ying Nian Wu
Orcid: 0000-0001-8029-3664
According to our database1,
Ying Nian Wu
authored at least 201 papers
between 1996 and 2024.
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Bibliography
2024
T-S fuzzy model based event-triggered change control for product and supply chain systems.
Int. J. Syst. Sci., February, 2024
CoRR, 2024
LLM3: Large Language Model-based Task and Motion Planning with Motion Failure Reasoning.
CoRR, 2024
Dual-Space Optimization: Improved Molecule Sequence Design by Latent Prompt Transformer.
CoRR, 2024
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Production Change Optimization Model of Nonlinear Supply Chain System under Emergencies.
Sensors, April, 2023
Research on Real-Time Robust Optimization of Perishable Supply-Chain Systems Based on Digital Twins.
Sensors, February, 2023
Study on a hybrid algorithm combining enhanced ant colony optimization and double improved simulated annealing via clustering in the Traveling Salesman Problem (TSP).
PeerJ Comput. Sci., 2023
Aligner: One Global Token is Worth Millions of Parameters When Aligning Large Language Models.
CoRR, 2023
Learning Concept-Based Visual Causal Transition and Symbolic Reasoning for Visual Planning.
CoRR, 2023
Triple Regression for Camera Agnostic Sim2Real Robot Grasping and Manipulation Tasks.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Calibration-Aware Margin Loss: Pushing the Accuracy-Calibration Consistency Pareto Frontier for Deep Metric Learning.
CoRR, 2023
Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation.
CoRR, 2023
CoRR, 2023
Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data.
CoRR, 2022
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering.
CoRR, 2022
Appl. Artif. Intell., 2022
Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022
Proceedings of the International Conference on Machine Learning, 2022
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning.
Proceedings of the Computer Vision - ECCV 2022, 2022
Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI.
CoRR, 2021
A HINT from Arithmetic: On Systematic Generalization of Perception, Syntax, and Semantics.
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Planning on a (Risk) Budget: Safe Non-Conservative Planning in Probabilistic Dynamic Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Communications and Network Security, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling.
CoRR, 2020
CoRR, 2020
CoRR, 2020
Generative PointNet: Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Imposing implicit feasibility constraints on deformable image registration using a statistical generative model.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning.
Proceedings of the 37th International Conference on Machine Learning, 2020
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference.
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Sci. Robotics, 2019
Replicating Neuroscience Observations on ML/MF and AM Face Patches by Deep Generative Model.
Neural Comput., 2019
Int. J. Model. Simul. Sci. Comput., 2019
Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks.
CoRR, 2019
Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge.
CoRR, 2019
Learning Trajectory Prediction with Continuous Inverse Optimal Control via Langevin Sampling of Energy-Based Models.
CoRR, 2019
Learning Vector Representation of Content and Matrix Representation of Change: Towards a Representational Model of V1.
CoRR, 2019
Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model.
CoRR, 2019
Unsupervised Learning of Neural Networks to Explain Neural Networks (extended abstract).
CoRR, 2019
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Deep neural network based i-vector mapping for speaker verification using short utterances.
Speech Commun., 2018
EURASIP J. Audio Speech Music. Process., 2018
Mining deep And-Or object structures via cost-sensitive question-answer-based active annotations.
Comput. Vis. Image Underst., 2018
Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model.
CoRR, 2018
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering.
CoRR, 2018
Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion.
CoRR, 2018
A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models.
CoRR, 2018
Deformable Generator Network: Unsupervised Disentanglement of Appearance and Geometry.
CoRR, 2018
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
CoRR, 2017
A Cost-Sensitive Visual Question-Answer Framework for Mining a Deep And-OR Object Semantics from Web Images.
CoRR, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Int. J. Model. Simul. Sci. Comput., 2016
Comput. Stat. Data Anal., 2016
CoRR, 2016
Decoding the Encoding of Functional Brain Networks: an fMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms.
CoRR, 2016
Learning Generative ConvNet with Continuous Latent Factors by Alternating Back-Propagation.
CoRR, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Proceedings of the 3rd International Conference on Learning Representations, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
2014
Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD.
NeuroImage, 2014
Int. J. Model. Simul. Sci. Comput., 2014
Proceedings of the Technologies and Applications of Artificial Intelligence, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
Proceedings of the IEEE International Conference on Computer Vision, 2013
2012
Comparisons of Ray-Tracing and parabolic equation Methods for the Large-Scale Complex electromagnetic Environment simulations.
Int. J. Model. Simul. Sci. Comput., 2012
Methods to Improve Accuracy and Speed for the Quasi-3D Electromagnetic Environment Simulation.
Proceedings of the AsiaSim 2012, 2012
2011
Proceedings of the IEEE International Conference on Computer Vision, 2011
2010
Int. J. Comput. Vis., 2010
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010
2009
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
2007
Comput. Stat. Data Anal., 2007
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
2004
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004
2003
Int. J. Comput. Vis., 2003
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003
2002
2001
Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help?
Int. J. Comput. Vis., 2001
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001
2000
Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo-Toward a 'Trichromacy' Theory of Texture.
IEEE Trans. Pattern Anal. Mach. Intell., 2000
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000
1999
From local features to global perception - A perspective of Gestalt psychology from Markov random field theory.
Neurocomputing, 1999
Proceedings of the International Conference on Computer Vision, 1999
1998
Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling.
Int. J. Comput. Vis., 1998
1997
Neural Comput., 1997
Proceedings of the Human Vision and Electronic Imaging II, 1997
1996
FRAME: Filters, Random fields, and Minimax Entropy - Towards a Unified Theory for Texture Modeling.
Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996