Sotabase

Career

· Applied Scientist, Amazon2021–
· Postdoc Research Scientist, UC San Diego2018–2021
· Research Intern, Samsung Electronics America2016–2016
· Research Intern, IBM2014–2014
· Visiting Scholar, UC Berkeley2013–2014
· Doctor of Philosophy (PhD), Computer Science, University of Virginia2012–2018
· Graduate Research Assistant, University of Virginia2012–2018
· Research Intern, Microsoft2011–2012
· Bachelor of Science (B.S.), Electrical, Electronics and Communications Engineering, Beijing University of Posts and Telecommunications2008–2012

Publications (57)

Brick: Towards a Unified Metadata Schema For Buildings
International Conference on Systems for Energy-Efficient Built Environments · 2016
325
cited
Brick : Metadata schema for portable smart building applications
Applied Energy · 2018
239
cited
MusicalHeart: a hearty way of listening to music
ACM International Conference on Embedded Networked Sensor Systems · 2012
119
cited
Automated Metadata Construction to Support Portable Building Applications
International Conference on Systems for Energy-Efficient Built Environments · 2015
85
cited
TARNet: Task-Aware Reconstruction for Time-Series Transformer
Knowledge Discovery and Data Mining · 2022
81
cited
Auditeur: a mobile-cloud service platform for acoustic event detection on smartphones
ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services · 2013
64
cited
The Building Adapter: Towards Quickly Applying Building Analytics at Scale
International Conference on Systems for Energy-Efficient Built Environments · 2015
54
cited
Towards Automatic Spatial Verification of Sensor Placement in Buildings
BuildSys@SenSys · 2013
49
cited
Ember: energy management of batteryless event detection sensors with deep reinforcement learning
ACM International Conference on Embedded Networked Sensor Systems · 2020
47
cited
Plaster: an integration, benchmark, and development framework for metadata normalization methods
International Conference on Systems for Energy-Efficient Built Environments · 2018
45
cited
Serving deep neural networks at the cloud edge for vision applications on mobile platforms
ACM SIGMM Conference on Multimedia Systems · 2019
37
cited
UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification
ACM International Conference on Embedded Networked Sensor Systems · 2021
33
cited
PrimeNet: Pre-training for Irregular Multivariate Time Series
AAAI Conference on Artificial Intelligence · 2023
30
cited
Clustering-based Active Learning on Sensor Type Classification in Buildings
International Conference on Information and Knowledge Management · 2015
27
cited
High-dimensional Time Series Clustering via Cross-Predictability
International Conference on Artificial Intelligence and Statistics · 2017
27
cited
Safe HVAC Control via Batch Reinforcement Learning
International Conference on Cyber-Physical Systems · 2022
23
cited
Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning
AAAI Conference on Artificial Intelligence · 2020
20
cited
Enabling Portable Building Applications through Automated Metadata Transformation
2014
17
cited
Writing scalable building efficiency applications using normalized metadata: demo abstract
International Conference on Systems for Energy-Efficient Built Environments · 2014
15
cited
Demo abstract: SEPTIMU — Continuous in-situ human wellness monitoring and feedback using sensors embedded in earphones
International Symposium on Information Processing in Sensor Networks · 2012
14
cited
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Dezhi Hong | Researcher Profile | Sotabase | Sotabase