Kin Gwn Lore

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 18

Top Topics

Image Enhancement

Early Detection

Information Gathering

Top Venues

Pattern Recognit.

Publications

Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems. Knowl. Based Syst. 211 (2021)
Kin Gwn Lore, Kishore K. Reddy, Michael Giering, Edgar A. Bernal
Generative Adversarial Networks for Spectral Super-Resolution and Bidirectional RGB-To-Multispectral Mapping. CVPR Workshops (2019)
Kin Gwn Lore, Kishore K. Reddy
Implicit Context-aware Learning and Discovery for Streaming Data Analytics. CoRR (2019)
Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems. CoRR (2018)
Kin Gwn Lore, Kishore K. Reddy, Michael Giering, Edgar A. Bernal
Generative Adversarial Networks for Depth Map Estimation From RGB Video. CVPR Workshops (2018)
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
A deep learning framework for causal shape transformation. Neural Networks 98 (2018)
Mahmoud El Chamie, Kin Gwn Lore, Devu Manikantan Shila, Amit Surana
Physics-Based Features for Anomaly Detection in Power Grids with Micro-PMUs. ICC (2018)
Kin Gwn Lore, Devu Manikantan Shila, Lingyu Ren
Detecting Data Integrity Attacks on Correlated Solar Farms Using Multi-layer Data Driven Algorithm. CNS (2018)
Devu Manikantan Shila, Kin Gwn Lore, Tianshu Wei, Teems Lovetty, Yu Cheng
Catching Anomalous Distributed Photovoltaics: An Edge-based Multi-modal Anomaly Detection. CoRR (2017)
Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar
LLNet: A deep autoencoder approach to natural low-light image enhancement. Pattern Recognit. 61 (2017)
Chao Liu, Kin Gwn Lore, Soumik Sarkar
Data-driven root-cause analysis for distributed system anomalies. CDC (2017)
Kin Gwn Lore, Nicholas Sweet, Kundan Kumar, Nisar Ahmed, Soumik Sarkar
Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering. ICCPS (2016)
Chao Liu, Kin Gwn Lore, Soumik Sarkar
Root-cause analysis for time-series anomalies via spatiotemporal causal graphical modeling. CoRR (2016)
Kin Gwn Lore, Soumik Sarkar, Devesh K. Jha
Topology control in mobile sensor networks using information space feedback. ACC (2016)
Soumalya Sarkar, Devesh K. Jha, Kin Gwn Lore, Soumik Sarkar, Asok Ray
Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities. ACC (2016)
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
Deep Action Sequence Learning for Causal Shape Transformation. CoRR (2016)
Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar, Soumik Sarkar
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video. CoRR (2016)
Aditya Balu, Kin Gwn Lore, Gavin Young, Adarsh Krishnamurthy, Soumik Sarkar
A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework. CoRR (2016)
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns. FE@NIPS (2015)
Kin Gwn Lore, Nicholas Sweet, Kundan Kumar, Nisar Ahmed, Soumik Sarkar
Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering. CoRR (2015)
Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement. CoRR (2015)
Soumalya Sarkar, Kin Gwn Lore, Soumik Sarkar
Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video. CoCo@NIPS (2015)