Le-le Cao

Orcid: 0000-0002-5680-9031

According to our database1, Le-le Cao authored at least 38 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation.
CoRR, 2024

Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework.
CoRR, 2024

Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask.
CoRR, 2024

GenCeption: Evaluate Multimodal LLMs with Unlabeled Unimodal Data.
CoRR, 2024

DISCOUNT: Distributional Counterfactual Explanation With Optimal Transport.
CoRR, 2024

Prompt Tuned Embedding Classification for Industry Sector Allocation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Echo-Enhanced Embodied Visual Navigation.
Neural Comput., May, 2023

Sourcing Investment Targets for Venture and Growth Capital Using Multivariate Time Series Transformer.
CoRR, 2023

Accelerating Thematic Investment with Prompt Tuned Pretrained Language Models.
CoRR, 2023

A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models.
CoRR, 2023

Measuring Acoustics with Collaborative Multiple Agents.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Using Deep Learning to Find the Next Unicorn: A Practical Synthesis.
CoRR, 2022

Bridged Transformer for Vision and Point Cloud 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multimodal Token Fusion for Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Pay Self-Attention to Audio-Visual Navigation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
PAUSE: Positive and Annealed Unlabeled Sentence Embedding.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Real-Time Recurrent Tactile Recognition: Momentum Batch-Sequential Echo State Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Debiasing Few-Shot Recommendation in Mobile Games.
Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

Simple, Scalable, and Stable Variational Deep Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Use All Your Skills, Not Only The Most Popular Ones.
Proceedings of the IEEE Conference on Games, 2020

2019
Fine-Grained Road Mining from Satellite Images with Bilateral Xception and DeepLab.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
End-to-End ConvNet for Tactile Recognition Using Residual Orthogonal Tiling and Pyramid Convolution Ensemble.
Cogn. Comput., 2018

Human-Like Playtesting with Deep Learning.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

2017
Advancing the incremental fusion of robotic sensory features using online multi-kernel extreme learning machine.
Frontiers Comput. Sci., 2017

Benchmark for road marking detection: Dataset specification and performance baseline.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Fix-Budget and Recurrent Data Mining for Online Haptic Perception.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Building feature space of extreme learning machine with sparse denoising stacked-autoencoder.
Neurocomputing, 2016

Analyzing Linear Dynamical Systems: From Modeling to Coding and Learning.
CoRR, 2016

A Precise and Robust Clustering Approach Using Homophilic Degrees of Graph Kernel.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Tactile sequence based object categorization: A Bag of features modeled by Linear Dynamic System with Symmetric Transition Matrix.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Learning Stable Linear Dynamical Systems with the Weighted Least Square Method.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Sparse Coding and Dictionary Learning with Linear Dynamical Systems.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Efficient Spatio-Temporal Tactile Object Recognition with Randomized Tiling Convolutional Networks in a Hierarchical Fusion Strategy.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014
Optimization-based multikernel extreme learning for multimodal object image classification.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

Optimization-Based Extreme Learning Machine with Multi-kernel Learning Approach for Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014


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