Long Tian
13 papers · 2020–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Triple Crown
π
Grand Slam
π₯
Mega-Team Β· Squad
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Renaissance Researcher
(7)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(58)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Artificial Intelligence
(5)
Core Methods
(5)
Learning Types Β· Machine Learning
(4)
Architectures
(3)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Analysis
(2)
Application Areas
(2)
Learning Paradigms
(2)
Models
(2)
Keywords
optimal transport
(5)
prototype learning
(3)
multivariate time series
(2)
unsupervised anomaly detection
(2)
prototype refinement
(2)
anomaly detection
(2)
variational inference
(2)
feature representation
(1)
domain adaptation
(1)
image generation
(1)
document understanding
(1)
multi-modality learning
(1)
topic modeling
(1)
reinforcement learning from human feedback
(1)
human feedback
(1)
transfer learning
(1)
set representation
(1)
vector quantization
(1)
map estimation
(1)
hierarchical learning
(1)
Papers
FastRef: Fast Prototype Refinement for Few-shot Industrial Anomaly Detection
CVPR 2026
MaskAD: Parallel Masked Autoencoder for Multi-class Unsupervised Anomaly Detection
AAAI 2026
Cradle: Empowering Foundation Agents towards General Computer Control
ICML 2025
Removing Prompt-template Bias in Reinforcement Learning from Human Feedback
ACL 2025
Watching it in Dark: A Target-aware Representation Learning Framework for High-Level Vision Tasks in Low Illumination
ECCV 2024
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
NeurIPS 2023
Prototype-oriented unsupervised anomaly detection for multivariate time series
ICML 2023
Prototypes-oriented Transductive Few-shot Learning with Conditional Transport
ICCV 2023
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport
NeurIPS 2022
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection
ICML 2022
Learning Prototype-oriented Set Representations for Meta-Learning
ICLR 2022
Friendly Topic Assistant for Transformer Based Abstractive Summarization
EMNLP 2020
Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling
ICLR 2020