| 2022 | ICML | A data-driven approach for learning to control computers. | Peter Conway Humphreys, David Raposo, Tobias Pohlen, Gregory Thornton, Rachita Chhaparia, Alistair Muldal, Josh Abramson, Petko Georgiev, Adam Santoro, Timothy P. Lillicrap |
| 2017 | Mobisys | Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading. | Petko Georgiev, Nicholas D. Lane, Cecilia Mascolo, David Chu |
| 2016 | MOBICOM | LEO: scheduling sensor inference algorithms across heterogeneous mobile processors and network resources. | Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo |
| 2016 | Mobisys | Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX. | Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar |
| 2015 | Mobisys | Energy Efficient and Fair Management of Sensing Applications on Heterogeneous Resource Mobile Devices. | Petko Georgiev |
| 2015 | Mobisys | ZOE: A Cloud-less Dialog-enabled Continuous Sensing Wearable Exploiting Heterogeneous Computation. | Nicholas D. Lane, Petko Georgiev, Cecilia Mascolo, Ying Gao |
| 2015 | SENSYS | An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices. | Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar |
| 2014 | ICWSM | The Call of the Crowd: Event Participation in Location-Based Social Services. | Petko Georgiev, Anastasios Noulas, Cecilia Mascolo |
| 2014 | ICWSM | Where Businesses Thrive: Predicting the Impact of the Olympic Games on Local Retailers through Location-based Services Data. | Petko Georgiev, Anastasios Noulas, Cecilia Mascolo |
| 2014 | SENSYS | DSP.Ear: leveraging co-processor support for continuous audio sensing on smartphones. | Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo |