Lanqing Hong
Orcid: 0000-0003-2752-5942
According to our database1,
Lanqing Hong
authored at least 69 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024
CoRR, 2024
CoRR, 2024
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment.
CoRR, 2024
CoRR, 2024
CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs.
CoRR, 2024
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception.
CoRR, 2024
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Neural Networks, April, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts.
CoRR, 2023
CoRR, 2023
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt.
CoRR, 2023
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
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 International Conference on Computer Vision, 2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture.
Trans. Mach. Learn. Res., 2022
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2022, 2022
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.
CoRR, 2021
CoRR, 2021
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms.
CoRR, 2021
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
A Heuristic-IRM Method on Hard Disk Failure Prediction in Out-of-distribution Environments.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2021
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models.
Proceedings of the 38th International Conference on Machine Learning, 2021
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
2019
IEEE Trans. Reliab., 2019
2018
Reliab. Eng. Syst. Saf., 2018