Long Lan
19 papers · 2016–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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🗺️ Taxonomy Completionist (47) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Century Club · Bronze
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Machine Learning
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Artificial Intelligence
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Computer Vision
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Deep Learning
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Learning Types · Machine Learning
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few-shot learning
(4)
domain adaptation
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unsupervised learning
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domain generalization
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benchmark evaluation
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contrastive learning
(2)
object tracking
(2)
multimodal large language model
(2)
remote sensing
(2)
graph classification
(1)
pose estimation
(1)
causal reasoning
(1)
semantic segmentation
(1)
object detection
(1)
representation learning
(1)
test-time adaptation
(1)
transfer learning
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cross-modal learning
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multimodal learning
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information retrieval
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Papers
Unstitching the Chimera: Frame-Level Risk and Train-Free Mitigation for Video Hallucination
CVPR 2026
Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models
ICLR 2025
Harnessing Massive Satellite Imagery with Efficient Masked Image Modeling
ICCV 2025
MagicNaming: Consistent Identity Generation by Finding a “Name Space” in T2I Diffusion Models
AAAI 2025
Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors
AAAI 2025
Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture
IJCAI 2025
XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery?
CVPR 2025
Contrastive Transformer Cross-Modal Hashing for Video-Text Retrieval
IJCAI 2024
Learning to Learn Better Visual Prompts
AAAI 2024
Scaling Few-Shot Learning for the Open World
AAAI 2024
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
NeurIPS 2024
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
ICML 2023
Domain Specified Optimization for Deployment Authorization
ICCV 2023
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models
ICCV 2023
SODA: Robust Training of Test-Time Data Adaptors
NeurIPS 2023
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking
NeurIPS 2022
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
ICLR 2022
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
NeurIPS 2021
Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization
IJCAI 2016