2012.12 – 2014.8 The Pensylvania State University, 박사 후 연구원
2012.03 – 2014.11 포항공과대학교, 박사 후 연구원
학술지 논문
(2023)
Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE.
45,
10
(2023)
Your lottery ticket is damaged: Towards all-alive pruning for extremely sparse networks.
INFORMATION SCIENCES.
634,
(2023)
CoMix: Collaborative filtering with mixup for implicit datasets.
INFORMATION SCIENCES.
628,
(2022)
Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation.
KNOWLEDGE AND INFORMATION SYSTEMS.
64,
5
(2021)
Distilling from professors: Enhancing the knowledge distillation of teachers.
INFORMATION SCIENCES.
576,
1
학술회의논문
(2023)
GLEN: Generative Retrieval via Lexical Index Learning.
Empirical Methods in Natural Language Processing.
싱가포르
(2023)
It Ain’t Over: A Multi-aspect Diverse MathWord Problem Dataset.
Empirical Methods in Natural Language Processing.
싱가포르
(2023)
Forgetting-aware Linear Bias for Attentive Knowledge Tracing.
ACM Conference on Information and Knowledge Management.
영국
(2023)
Toward a Better Understanding of Loss Functions for Collaborative Filtering.
ACM Conference on Information and Knowledge Management.
영국
(2023)
ConQueR: Contextualized Query Reduction using Search Logs.
ACM SIGIR Conference on Information Retrieval.
중국
(2023)
It’s Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation.
ACM SIGIR Conference on Information Retrieval.
중국
(2023)
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering.
ACM SIGIR Conference on Information Retrieval.
중국
(2022)
Long-tail Mixup for Extreme Multi-label Classification.
ACM Conference on Information and Knowledge Management.
미국
(2022)
SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval.
ACM Conference on Information and Knowledge Management.
미국
(2022)
Logit Mixing Training for More Reliable and Accurate Prediction.
International Joint Conference on Artificial Intelligence.
미국
(2022)
Bilateral Self-unbiased Learning from Biased Implicit Feedback.
ACM SIGIR Conference on Information Retrieval.
대한민국
(2022)
S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks.
ACM International Conference on Web Search and Data Mining.
미국
(2021)
Dual Unbiased Recommender Learning for Implicit Feedback.
ACM SIGIR Conference on Information Retrieval.
미국
(2021)
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation.
Conference on Computer Vision and Pattern Recognition.
미국
(2021)
MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories.
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
미국
