Lanqing Hong

Orcid: 0000-0003-2752-5942

According to our database1, Lanqing Hong authored at least 66 papers between 2018 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Contextualizing Meta-Learning via Learning to Decompose.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes.
CoRR, 2024

Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment.
CoRR, 2024

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

Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation.
CoRR, 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
CLAD: A realistic Continual Learning benchmark for Autonomous Driving.
Neural Networks, April, 2023

Continual Learning by Modeling Intra-Class Variation.
Trans. Mach. Learn. Res., 2023

SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields.
CoRR, 2023

Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning.
CoRR, 2023

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.
CoRR, 2023

TrackDiffusion: Multi-object Tracking Data Generation via Diffusion Models.
CoRR, 2023

Animate124: Animating One Image to 4D Dynamic Scene.
CoRR, 2023

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.
CoRR, 2023

Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts.
CoRR, 2023

Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models.
CoRR, 2023

MagicDrive: Street View Generation with Diverse 3D Geometry Control.
CoRR, 2023

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

Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts.
CoRR, 2023

Boosting Visual-Language Models by Exploiting Hard Samples.
CoRR, 2023

MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation.
CoRR, 2023

Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning.
CoRR, 2023

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DDP: Diffusion Model for Dense Visual Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

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

Mixed Autoencoder for Self-Supervised Visual Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Memory Replay with Data Compression for Continual Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
Proceedings of the Tenth International Conference on Learning Representations, 2022

Generalizing Few-Shot NAS with Gradient Matching.
Proceedings of the Tenth International Conference on Learning Representations, 2022

DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction.
Proceedings of the Computer Vision - ECCV 2022, 2022

Generative Negative Text Replay for Continual Vision-Language Pretraining.
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

Re-examining Distillation for Continual Object Detection.
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

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

SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving.
CoRR, 2021

Contextualizing Multiple Tasks via Learning to Decompose.
CoRR, 2021

OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms.
CoRR, 2021

How Well Self-Supervised Pre-Training Performs with Streaming Data?
CoRR, 2021

Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation.
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

NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Robustness for Unsupervised Domain Adaptation.
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

MetaAugment: Sample-Aware Data Augmentation Policy Learning.
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
VEGA: Towards an End-to-End Configurable AutoML Pipeline.
CoRR, 2020

2019
System Reliability Evaluation Under Dynamic Operating Conditions.
IEEE Trans. Reliab., 2019

2018
A random-effects Wiener degradation model based on accelerated failure time.
Reliab. Eng. Syst. Saf., 2018


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