REN WANG
16 papers · 2020–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (9) π Academic Marathon (5) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (29)
π
Conference Polyglot
(9)
π
Academic Marathon
(5)
π
Century Club
(16)
ποΈ
Keyword Collector
(52)
β‘
Prolific Year
(6)
π₯
Unstoppable
(6)
Conferences
CVPR (4)
ICLR (3)
ECCV (2)
OSDI (2)
ICCV (1)
ICML (1)
IJCAI (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
image restoration
(2)
multi-view representation learning
(2)
noisy label learning
(2)
fine-grained classification
(2)
representation learning
(2)
feature fusion
(2)
performance optimization
(1)
few-shot learning
(1)
contrastive learning
(1)
depth estimation
(1)
network pruning
(1)
data augmentation
(1)
supervised contrastive learning
(1)
label noise
(1)
adversarial learning
(1)
diffusion model
(1)
generalization bound
(1)
multi-view learning
(1)
reinforcement learning
(1)
unsupervised learning
(1)
Papers
Revisiting Mode Connectivity in Neural Networks with Bezier Surface
ICLR 2025
SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning
CVPR 2025
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection
CVPR 2025
Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
WACV 2025
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
IJCAI 2025
Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach
ICML 2025
Nomad: Non-Exclusive Memory Tiering via Transactional Page Migration
OSDI 2024
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency
ICLR 2024
MetaViewer: Towards a Unified Multi-View Representation
CVPR 2023
Fine-Grained Classification With Noisy Labels
CVPR 2023
EnsΕ: A Streaming Interface for NIC-Application Communication
OSDI 2023
MVP-N: A Dataset and Benchmark for Real-World Multi-View Object Classification
NIPS 2022
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
ICLR 2021
Bridging Unsupervised and Supervised Depth From Focus via All-in-Focus Supervision
ICCV 2021
Learning Camera-Aware Noise Models
ECCV 2020
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
ECCV 2020