Lanqing Hong

Orcid: 0000-0003-2752-5942

According to our database¹, Lanqing Hong authored at least 72 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Contextualizing Meta-Learning via Learning to Decompose.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration.

[BibT_eX]

[DOI]

CoRR, 2024

CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference.

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[DOI]

CoRR, 2024

MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes.

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[DOI]

CoRR, 2024

Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment.

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[DOI]

CoRR, 2024

Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases.

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[DOI]

CoRR, 2024

Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation.

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[DOI]

CoRR, 2024

GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.

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[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MagicDrive: Street View Generation with Diverse 3D Geometry Control.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Implicit Concept Removal of Diffusion Models.

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[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection.

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[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

CLAD: A realistic Continual Learning benchmark for Autonomous Driving.

[BibT_eX]

[DOI]

Eduardo Pérez-Pellitero

Matthias De Lange

Tinne Tuytelaars

Neural Networks, April, 2023

Continual Learning by Modeling Intra-Class Variation.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields.

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[DOI]

CoRR, 2023

Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.

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[DOI]

CoRR, 2023

TrackDiffusion: Multi-object Tracking Data Generation via Diffusion Models.

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[DOI]

CoRR, 2023

Animate124: Animating One Image to 4D Dynamic Scene.

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[DOI]

CoRR, 2023

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.

[BibT_eX]

[DOI]

CoRR, 2023

Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts.

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[DOI]

CoRR, 2023

Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models.

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[DOI]

CoRR, 2023

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation.

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[DOI]

CoRR, 2023

Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt.

[BibT_eX]

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CoRR, 2023

ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis.

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[DOI]

CoRR, 2023

Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts.

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[DOI]

CoRR, 2023

Boosting Visual-Language Models by Exploiting Hard Samples.

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[DOI]

CoRR, 2023

MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning.

[BibT_eX]

[DOI]

Xinyun Zhang

Lanqing Hong

CoRR, 2023

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts.

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[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DDP: Diffusion Model for Dense Visual Prediction.

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[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ConQueR: Query Contrast Voxel-DETR for 3D Object Detection.

[BibT_eX]

[DOI]

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.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Mixed Autoencoder for Self-Supervised Visual Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Fair-CDA: Continuous and Directional Augmentation for Group Fairness.

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[DOI]

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.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Memory Replay with Data Compression for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

How Well Does Self-Supervised Pre-Training Perform with Streaming Data?

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Generalizing Few-Shot NAS with Gradient Matching.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Generative Negative Text Replay for Continual Vision-Language Pretraining.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Re-examining Distillation for Continual Object Detection.

[BibT_eX]

[DOI]

Eduardo Pérez-Pellitero

Matthias De Lange

Tinne Tuytelaars

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2021

Contextualizing Multiple Tasks via Learning to Decompose.

[BibT_eX]

[DOI]

CoRR, 2021

OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms.

[BibT_eX]

[DOI]

CoRR, 2021

How Well Self-Supervised Pre-Training Performs with Streaming Data?

[BibT_eX]

[DOI]

CoRR, 2021

Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2021

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Robustness for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MetaAugment: Sample-Aware Data Augmentation Policy Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

VEGA: Towards an End-to-End Configurable AutoML Pipeline.

[BibT_eX]

[DOI]

CoRR, 2020

2019

System Reliability Evaluation Under Dynamic Operating Conditions.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., 2019

2018

A random-effects Wiener degradation model based on accelerated failure time.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2018

Lanqing Hong

Timeline

Legend:

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On csauthors.net:

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