Shaohan Hu
Orcid: 0000-0002-2877-2665Affiliations:
- JPMorgan Chase Bank, New York, NY, USA
- IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA (former)
- University of Illinois at Urbana-Champaign, IL, USA (former)
According to our database1,
Shaohan Hu
authored at least 79 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Int. J. Inf. Sec., August, 2024
Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning.
CoRR, 2024
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024
MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
ISPRS Int. J. Geo Inf., January, 2023
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem.
CoRR, 2023
2022
Constrained Quantum Optimization for Extractive Summarization on a Trapped-ion Quantum Computer.
CoRR, 2022
Proceedings of the Computer Security - ESORICS 2022, 2022
2021
Driver Behavior-aware Parking Availability Crowdsensing System Using Truth Discovery.
ACM Trans. Sens. Networks, 2021
Multi-labelled proteins recognition for high-throughput microscopy images using deep convolutional neural networks.
BMC Bioinform., 2021
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
2020
Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2020
Parallelization of Classical Numerical optimization in Quantum Variational Algorithms.
Proceedings of the 13th IEEE International Conference on Software Testing, 2020
2019
A Domain-agnostic, Noise-resistant Evolutionary Variational Quantum Eigensolver for Hardware-efficient Optimization in the Hilbert Space.
CoRR, 2019
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks.
Proceedings of the World Wide Web Conference, 2019
SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Classifying Mixed Patterns of Proteins in High-Throughput Microscopy Images Using Deep Neural Networks.
Proceedings of the Intelligent Computing Theories and Application, 2019
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
2018
IEEE Trans. Parallel Distributed Syst., 2018
J. Sens. Actuator Networks, 2018
SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 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
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018
2017
IEEE Trans. Mob. Comput., 2017
On Exploiting Structured Human Interactions to Enhance Sensing Accuracy in Cyber-physical Systems.
ACM Trans. Cyber Phys. Syst., 2017
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing.
Proceedings of the 26th International Conference on World Wide Web, 2017
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017
Decision-Driven Execution: A Distributed Resource Management Paradigm for the Age of IoT.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
GreenDrive: a smartphone-based intelligent speed adaptation system with real-time traffic signal prediction.
Proceedings of the 8th International Conference on Cyber-Physical Systems, 2017
Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Participatory Sensing Meets Opportunistic Sharing: Automatic Phone-to-Phone Communication in Vehicles.
IEEE Trans. Mob. Comput., 2016
IEEE Trans. Mob. Comput., 2016
An Experimental Evaluation of Datacenter Workloads On Low-Power Embedded Micro Servers.
Proc. VLDB Endow., 2016
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016
On Source Dependency Models for Reliable Social Sensing: Algorithms and Fundamental Error Bounds.
Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016
2015
SmartRoad: Smartphone-Based Crowd Sensing for Traffic Regulator Detection and Identification.
ACM Trans. Sens. Networks, 2015
Reliable social sensing with physical constraints: analytic bounds and performance evaluation.
Real Time Syst., 2015
Joint Source Selection and Data Extrapolation in Social Sensing for Disaster Response.
CoRR, 2015
Proceedings of the 2015 USENIX Annual Technical Conference, 2015
Proceedings of the 2015 IEEE Real-Time Systems Symposium, 2015
Proceedings of the 21st IEEE Real-Time and Embedded Technology and Applications Symposium, 2015
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015
Exploiting structured human interactions to enhance estimation accuracy in cyber-physical systems.
Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems, 2015
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
On Exploiting Logical Dependencies for Minimizing Additive Cost Metrics in Resource-Limited Crowdsensing.
Proceedings of the 2015 International Conference on Distributed Computing in Sensor Systems, 2015
2014
Proceedings of the IEEE 35th IEEE Real-Time Systems Symposium, 2014
Poster abstract: eNav: a smartphone-based energy efficient vehicular navigation system.
Proceedings of the IPSN'14, 2014
Towards automatic phone-to-phone communication for vehicular networking applications.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014
Proceedings of the IEEE 34th International Conference on Distributed Computing Systems, 2014
WattValet: Heterogenous Energy Storage Management in Data Centers for Improved Power Capping.
Proceedings of the 11th International Conference on Autonomic Computing, 2014
Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2014
2013
Proceedings of the 11th ACM Conference on Embedded Network Sensor Systems, 2013
Proceedings of the IEEE 34th Real-Time Systems Symposium, 2013
Poster abstract: SmartRoad: a crowd-sourced traffic regulator detection and identification system.
Proceedings of the 12th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2013), 2013
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013
Proceedings of the IEEE 33rd International Conference on Distributed Computing Systems, 2013
Proceedings of the 22nd International Conference on Computer Communication and Networks, 2013
2012
Quality of Information Based Data Selection and Transmission in Wireless Sensor Networks.
Proceedings of the 33rd IEEE Real-Time Systems Symposium, 2012
2011
Enabling large-scale human activity inference on smartphones using community similarity networks (csn).
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011
2010
Proceedings of the 2ndt ACM SIGCOMM Workshop on Networking, 2010
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010