← Authors

Alexander Wong

12 papers · 2013–2026 · 7 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (35) 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (13) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🧬 Topic Evolution πŸ† Keyword Champion (2) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (62) πŸ’Ž Century Club (12) πŸš€ Conference Pioneer

Conferences

CVPR (3) AAAI (2) ACL (2) WACV (2) ECCV (1) EMNLP (1) NAACL (1)

Top co-authors

Helen Chen (4) George Michalopoulos (4) Christian Scharfenberger (2) Mohammad Javad Shafiee (2) Zhong Qiu Lin (1) Sheldon Fernandez (1) Hussam Kaka (1) Michal Malyska (1) Yuanxin Wang (1) E. Zhixuan Zeng (1)

Keywords

contextual embedding (3) defect detection (2) convolutional neural network (2) named entity recognition (2) deep learning (2) visual inspection (2) feature extraction (1) domain adaptation (1) metric learning (1) attention mechanism (1) model robustness (1) adversarial robustness (1) bias detection (1) unsupervised domain adaptation (1) sentence similarity (1) object detection (1) saliency detection (1) semantic similarity (1) adversarial attack (1) text classification (1)

Papers

SCALEX: Scalable Concept and Latent Exploration for Diffusion Models WACV 2026
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments AAAI 2023
SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence AAAI 2023
LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution ACL 2022
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation ECCV 2022
ICDBigBird: A Contextual Embedding Model for ICD Code Classification ACL 2022
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus NAACL 2021
Squeeze-and-Attention Networks for Semantic Segmentation CVPR 2020
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis WACV 2020
Where’s the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data EMNLP 2020
Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness CVPR 2020
Statistical Textural Distinctiveness for Salient Region Detection in Natural Images CVPR 2013