Pengguang Chen
9 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Academic Marathon (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (19) π§ Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
CVPR (3)
ECCV (2)
ICCV (2)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
feature learning
(2)
knowledge distillation
(2)
representation learning
(1)
image classification
(1)
contrastive learning
(1)
benchmark evaluation
(1)
object detection
(1)
neural architecture search
(1)
visual representation
(1)
instance segmentation
(1)
unsupervised representation learning
(1)
language model
(1)
out-of-distribution detection
(1)
bi-level optimization
(1)
student network
(1)
pretext task
(1)
feature transfer
(1)
chain of thought
(1)
network design
(1)
masked image modeling
(1)
Papers
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation
ICLR 2025
Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics
ECCV 2024
MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs
NIPS 2024
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders
ECCV 2024
Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need
CVPR 2023
Deep Structured Instance Graph for Distilling Object Detectors
ICCV 2021
Distilling Knowledge via Knowledge Review
CVPR 2021
Jigsaw Clustering for Unsupervised Visual Representation Learning
CVPR 2021
Fast and Practical Neural Architecture Search
ICCV 2019