Jay-June Lee

2001

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Jay-June Lee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Biing-Hwang Fred Juang

Who trusts Jay-June Lee overall

1. Minyoung Kim
2. Luca Rigazio

Papers from Jay-June Lee's perspective

Ordered by how strongly the researchers Jay-June Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Pattern classification and scene analysis
2. Fundamentals of speech recognition
3. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
4. Domain Separation Networks
5. Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs (IEEE Communications Magazine)
6. Long short-term memory recurrent neural network architectures for large scale acoustic modeling
7. Learning to Optimize: Training Deep Neural Networks for Interference Management
8. Deep Learning for Joint Source-Channel Coding of Text
9. LTE evolution for vehicle-to-everything services (IEEE Communications Magazine)
10. Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems (IEEE Wireless Communications Letters)

Their papers

• Data-Driven Design of HMM Topology for Online Handwriting Recognition (2001) — 55 citations