Feng Luo
13 papers · 2013–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π₯
Mega-Team Β· Squad
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Grand Slam
π
Conference Pioneer
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(7)
ποΈ
Keyword Collector
(75)
Venues
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(7)
Artificial Intelligence
(3)
Computer Vision
(3)
Architectures
(3)
Core Methods
(3)
Learning Types Β· Machine Learning
(3)
Models
(3)
Natural Language Processing
(2)
Reinforcement Learning
(2)
Analysis
(2)
Core AI
(2)
Learning Types Β· Deep Learning
(2)
Methods
(2)
Optimization & Theory
(2)
Keywords
3d reconstruction
(2)
reward modeling
(2)
sequence modeling
(1)
contrastive learning
(1)
reinforcement learning
(1)
temporal difference learning
(1)
reinforcement learning from human feedback
(1)
neural network optimization
(1)
principal component analysis
(1)
knowledge distillation
(1)
cross-lingual transfer
(1)
multimodal learning
(1)
feature matching
(1)
semantic representation
(1)
semantic alignment
(1)
offline reinforcement learning
(1)
representation learning
(1)
model alignment
(1)
finite difference
(1)
dimensionality reduction
(1)
Papers
Skyline: A Cloud Centric Internet Monitoring Engine
NSDI 2026
Latent Radiance Fields with 3D-aware 2D Representations
ICLR 2025
MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning
EMNLP 2025
Rethinking Diverse Human Preference Learning through Principal Component Analysis
ACL 2025
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
ICLR 2025
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
CVPR 2025
Directly Denoising Diffusion Models
ICML 2024
MHGRL: An Effective Representation Learning Model for Electronic Health Records
COLING 2024
Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms
NeurIPS 2024
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
ICML 2024
HoD-Net: High-Order Differentiable Deep Neural Networks and Applications
AAAI 2022
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model
EMNLP 2022
Geometric Registration Based on Distortion Estimation
ICCV 2013