Ruiying Lu
10 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (5) π Academic Marathon (6) π Renaissance Researcher (5) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(22)
π§
Keyword Pioneer
π₯
Unstoppable
(5)
Conferences
CVPR (2)
ECCV (2)
NIPS (2)
AAAI (1)
ACL (1)
ICCV (1)
ICML (1)
Top co-authors
Research topics
Keywords
unsupervised anomaly detection
(2)
topic model
(2)
variational inference
(1)
optimal transport
(1)
autoregressive generation
(1)
image captioning
(1)
image reconstruction
(1)
recurrent neural network
(1)
semantic consistency
(1)
feature representation
(1)
markov chain monte carlo
(1)
vector quantization
(1)
data privacy
(1)
hierarchical structure
(1)
multi-label classification
(1)
prototype learning
(1)
memory efficiency
(1)
language model
(1)
cross-modal alignment
(1)
zero-shot learning
(1)
Papers
MaskAD: Parallel Masked Autoencoder for Multi-class Unsupervised Anomaly Detection
AAAI 2026
PDR: A Plug-and-Play Positional Decay Framework for LLM Pre-training Data Detection
ACL 2026
Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging
ECCV 2024
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification
ICCV 2023
ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing
CVPR 2023
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
NIPS 2023
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding
NIPS 2022
Memory-Efficient Network for Large-Scale Video Compressive Sensing
CVPR 2021
Recurrent Hierarchical Topic-Guided RNN for Language Generation
ICML 2020
BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging
ECCV 2020