Sin Yong Tan

According to our database, Sin Yong Tan authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Few-shot deep learning for AFM force curve characterization of single-molecule interactions.

Joshua R. Waite, Sin Yong Tan, Homagni Saha, Soumik Sarkar, Anwesha Sarkar

Patterns, January, 2023

Active shooter detection and robust tracking utilizing supplemental synthetic data.

Joshua R. Waite, Jiale Feng, Riley Tavassoli, Laura M. Harris, Sin Yong Tan, Subhadeep Chakraborty, Soumik Sarkar

CoRR, 2023

2022

MDPGT: Momentum-Based Decentralized Policy Gradient Tracking.

Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

WHISPER: Wireless Home Identification and Sensing Platform for Energy Reduction.

Margarite Jacoby, Sin Yong Tan, Mohamad Katanbaf, Ali Saffari, Homagni Saha, Zerina Kapetanovic, Jasmine Garland, Anthony Florita, Gregor Henze, Soumik Sarkar, Joshua R. Smith

J. Sens. Actuator Networks, 2021

Granger Causality Based Hierarchical Time Series Clustering for State Estimation.

Sin Yong Tan, Homagni Saha, Margarite Jacoby, Gregor Henze, Soumik Sarkar

CoRR, 2021

Battery-Free Camera Occupancy Detection System.

Ali Saffari, Sin Yong Tan, Mohamad Katanbaf, Homagni Saha, Joshua R. Smith, Soumik Sarkar

Proceedings of the EMDL@MobiSys 2021: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, 2021

Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data.

Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar

Proceedings of the 38th International Conference on Machine Learning, 2021

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation.

Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar

Proceedings of the IEEE International Conference on Acoustics, 2021

Decentralized Deep Learning Using Momentum-Accelerated Consensus.

Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras.

Homagni Saha, Sin Yong Tan, Ali Saffari, Mohamad Katanbaf, Joshua R. Smith, Soumik Sarkar

CoRR, 2020

Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems.

Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar

Proceedings of the Dynamic Data Driven Applications Systems, 2020

2019

On Higher-order Moments in Adam.

Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar

CoRR, 2019

For publication in 2019 ACC A flexible framework for building occupancy detection using spatiotemporal pattern networks.

Sin Yong Tan, Homagni Saha, Anthony R. Florita, Gregor P. Henze, Soumik Sarkar

Proceedings of the 2019 American Control Conference, 2019