Lanqing Hong

51 papers · 2021–2026 · 11 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (5) 🐝 Cross-Pollinator (11) 🗺️ Taxonomy Completionist (80) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🤝 Dynamic Duo (37) 🏆 Grand Slam 👥 Mega-Team (30) 🧬 Topic Evolution 🏆 Keyword Champion 🗃️ Keyword Collector (180) ⚡ Prolific Year (9) ❓ The Questioner 🔥 Unstoppable (6) 💎 Century Club (49)

Conferences

CVPR (9) ICLR (9) AAAI (8) ICCV (7) ECCV (5) NIPS (4) WACV (3) ACL (2) EMNLP (2) ICML (1) NAACL (1)

Top co-authors

Zhenguo Li (38) Kai Chen (18) Hang Xu (15) Dit-Yan Yeung (12) Zhili Liu (9) Jianhua Han (8) Ruiyuan Gao (7) Qiang Xu (6) Fengwei Zhou (6) Enze Xie (5)

Keywords

self-supervised learning (5) diffusion model (5) out-of-distribution generalization (4) contrastive learning (4) novel view synthesis (4) distribution shift (4) representation learning (3) autonomous driving (3) neural radiance field (3) data augmentation (3) domain generalization (3) continual learning (2) neural architecture search (2) feature disentanglement (2) 3d object detection (2) domain adaptation (2) transfer learning (2) object detection (2) video generation (2) image generation (2)

Papers

MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes WACV 2026

Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models AAAI 2026

Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views AAAI 2026

TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models WACV 2025

Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning EMNLP 2025

Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs CVPR 2025

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions CVPR 2025

Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks ICLR 2025

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model ICLR 2025

MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control ICCV 2025

Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment ACL 2025

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning ACL 2025

Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases WACV 2025

Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data NAACL 2025

"Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation" ECCV 2024

CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference EMNLP 2024

MagicDrive: Street View Generation with Diverse 3D Geometry Control ICLR 2024

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis ICLR 2024

LLMs Can Evolve Continually on Modality for $\mathbb{X}$-Modal Reasoning NIPS 2024

G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection AAAI 2024

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models NIPS 2024

DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception CVPR 2024

CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs CVPR 2024

GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation ICLR 2024

Implicit Concept Removal of Diffusion Models ECCV 2024

Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts ICLR 2023

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation NIPS 2023

Fair-CDA: Continuous and Directional Augmentation for Group Fairness AAAI 2023

Mixed Autoencoder for Self-Supervised Visual Representation Learning CVPR 2023

ConQueR: Query Contrast Voxel-DETR for 3D Object Detection CVPR 2023

ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning CVPR 2023

DIFFGUARD: Semantic Mismatch-Guided Out-of-Distribution Detection Using Pre-Trained Diffusion Models ICCV 2023

MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation ICCV 2023

DDP: Diffusion Model for Dense Visual Prediction ICCV 2023

Memory Replay with Data Compression for Continual Learning ICLR 2022

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization CVPR 2022

Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition NIPS 2022

Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms AAAI 2022

Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing AAAI 2022

Generalizing Few-Shot NAS with Gradient Matching ICLR 2022

How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR 2022

DevNet: Self-Supervised Monocular Depth Learning via Density Volume Construction ECCV 2022

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving ECCV 2022

Generative Negative Text Replay for Continual Vision-Language Pretraining ECCV 2022

DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation AAAI 2021

MultiSiam: Self-Supervised Multi-Instance Siamese Representation Learning for Autonomous Driving ICCV 2021

Adversarial Robustness for Unsupervised Domain Adaptation ICCV 2021

Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models ICML 2021

ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning CVPR 2021

MetaAugment: Sample-Aware Data Augmentation Policy Learning AAAI 2021

NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization ICCV 2021