Publications

(2020). Deep Compressive Offloading: Speeding up Neural Network Inference by Trading Edge Computation for Network Latency. Proceedings of the 18th Conference on Embedded Networked Sensor Systems.

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(2020). Scheduling real-time deep learning services as imprecise computations. 2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA).

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(2020). ControlVAE: Controllable Variational Autoencoder. Proceedings of the 37th International Conference on Machine Learning (ICML).

(2020). Truth Discovery with Multi-modal Data in Social Sensing. IEEE Transactions on Computers.

(2020). paper2repo: GitHub Repository Recommendation for Academic Papers. Proceedings of The Web Conference 2020.

(2020). GIobalFusion: A Global Attentional Deep Learning Framework for Multisensor Information Fusion. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.

(2020). Five challenges in cloud-enabled intelligence and control. ACM Transactions on Internet Technology (TOIT).

(2020). DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.

(2020). Multiscale online media simulation with SocialCube. Computational and Mathematical Organization Theory.

(2019). STFNets: Learning sensing signals from the time-frequency perspective with short-time fourier neural networks. The World Wide Web Conference.

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(2019). Unsupervised Fact-finding with Multi-modal Data in Social Sensing. 2019 22th International Conference on Information Fusion (FUSION).

(2019). Stardust: A deep learning serving system in IoT: demo abstract. Proceedings of the 17th Conference on Embedded Networked Sensor Systems.

(2019). Simulation Evaluation of Fuel-Saving Systems in the City of Chicago. 2019 28th International Conference on Computer Communication and Networks (ICCCN).

(2019). SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications. IEEE INFOCOM 2019-IEEE Conference on Computer Communications.

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(2019). GreenRoute: A Generalizable Fuel-Saving Vehicular Navigation Service. 2019 IEEE International Conference on Autonomic Computing (ICAC).

(2019). Eugene: Towards deep intelligence as a service. 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS).

(2019). Dependable machine intelligence at the tactical edge. Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.

(2019). DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data. Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing.

(2019). A latent hawkes process model for event clustering and temporal dynamics learning with applications in GitHub. 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS).

(2018). Fastdeepiot: Towards understanding and optimizing neural network execution time on mobile and embedded devices. SenSys ‘18 Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems.

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(2018). SenseGAN: Enabling deep learning for internet of things with a semi-supervised framework. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.

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(2018). Towards environment independent device free human activity recognition. Proceedings of the 24th Annual International Conference on Mobile Computing and Networking.

(2018). Rdeepsense: Reliable deep mobile computing models with uncertainty estimations. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.

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(2018). Qualitydeepsense: Quality-aware deep learning framework for internet of things applications with sensor-temporal attention. Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning.

(2018). Deep learning for the internet of things. Computer.

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(2018). De facto diagnosis specialties: R ecognition and discovery. Learning Health Systems.

(2018). Codrive: cooperative driving scheme for vehicles in urban signalized intersections. 2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS).

(2018). Athena: Towards decision-centric anticipatory sensor information delivery. Journal of Sensor and Actuator Networks.

(2018). ApDeepsense: Deep learning uncertainty estimation without the pain for iot applications. 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS).

(2018). A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling.. AAAI.

(2018). A predictive self-configuring simulator for online media. 2018 Winter Simulation Conference (WSC).

(2018). A constrained maximum likelihood estimator for unguided social sensing. IEEE INFOCOM 2018-IEEE Conference on Computer Communications.

(2017). Deepsense: A unified deep learning framework for time-series mobile sensing data processing. Proceedings of the 26th International Conference on World Wide Web.

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(2017). DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework. SenSys ‘17 Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems.

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(2017). VibeBin: A vibration-based waste bin level detection system. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.

(2017). Unveiling polarization in social networks: A matrix factorization approach. IEEE INFOCOM 2017-IEEE Conference on Computer Communications.

(2017). Unsupervised Fill-level Estimation for Smart Trash Removal Systems.. EWSN.

(2017). Optimizing source selection in social sensing in the presence of influence graphs. 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS).

(2017). On the improvement of classifying EEG recordings using neural networks. 2017 IEEE International Conference on Big Data (Big Data).

(2017). Greendrive: A smartphone-based intelligent speed adaptation system with real-time traffic signal prediction. 2017 ACM/IEEE 8th International Conference on Cyber-Physical Systems (ICCPS).

(2017). Decision-driven execution: A distributed resource management paradigm for the age of iot. 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS).

(2016). Recursive ground truth estimator for social data streams. 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

(2016). Optimal capacity--delay tradeoff in MANETs with correlation of node mobility. IEEE Transactions on Vehicular Technology.

(2016). On source dependency models for reliable social sensing: Algorithms and fundamental error bounds. 2016 IEEE 36th international conference on distributed computing systems (ICDCS).

(2016). Impacts of social relationships and inhomogeneous node distribution on the network performance. IEEE Transactions on Wireless Communications.

(2016). An experimental evaluation of datacenter workloads on low-power embedded micro servers. Proceedings of the VLDB Endowment.

(2015). Social signal processing for real-time situational understanding: A vision and approach. 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems.

(2015). Scalable social sensing of interdependent phenomena. Proceedings of the 14th International Conference on Information Processing in Sensor Networks.

(2015). On exploiting logical dependencies for minimizing additive cost metrics in resource-limited crowdsensing. 2015 International Conference on Distributed Computing in Sensor Systems.

(2015). Data acquisition for real-time decision-making under freshness constraints. 2015 IEEE Real-Time Systems Symposium.

(2014). Delay-throughput tradeoff with correlated mobility of ad-hoc networks. IEEE INFOCOM 2014-IEEE Conference on Computer Communications.