Changsheng Chen

3 papers · 2022–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

CVPR (1) IJCAI (1) NAACL (1)

Top co-authors

Bin Li (2) Sameh Metwaly (1) Shunquan Tan (1) Yongqi Chen (1) Jishen Zeng (1) Alireza Gharahighehi (1) Anaïs Tack (1) Liangwei Lin (1) Guanglin Li (1) Michiel De Vrindt (1)

Research topics

Machine Learning (3) Core Methods (3) Artificial Intelligence (1) Computer Vision (1) Deep Learning (1) Analysis (1) Bayesian & Probabilistic (1) Core AI (1) Domain-Specific (1) Learning Types (1) Optimization & Theory · Deep Learning (1) Optimization & Theory · Machine Learning (1)

Keywords

image classification (1) anomaly detection (1) principal component analysis (1) lasso regression (1) monte carlo sampling (1) siamese neural network (1) gaussian mixture model (1) ensemble method (1) unsupervised anomaly detection (1) siamese network (1) image forensics (1) integral cosine similarity (1) data density distribution (1) linguistic feature (1) document forensics (1) document image (1) random forest regression (1) clinical embedding (1) distortion modeling (1) chromaticity map (1)

Papers

CMA: A Chromaticity Map Adapter for Robust Detection of Screen-Recapture Document Images CVPR 2024 ITEC at BEA 2024 Shared Task: Predicting Difficulty and Response Time of Medical Exam Questions with Statistical, Machine Learning, and Language Models NAACL 2024 Learning General Gaussian Mixture Model with Integral Cosine Similarity IJCAI 2022