Huajie Shao

Orcid: 0000-0001-7627-5615

According to our database1, Huajie Shao authored at least 76 papers between 2012 and 2024.

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Bibliography

2024
A General-Purpose Multi-Modal OOD Detection Framework.
Trans. Mach. Learn. Res., 2024

Enhancing Compositional Generalization via Compositional Feature Alignment.
Trans. Mach. Learn. Res., 2024

Measuring Copyright Risks of Large Language Model via Partial Information Probing.
CoRR, 2024

NetBench: A Large-Scale and Comprehensive Network Traffic Benchmark Dataset for Foundation Models.
CoRR, 2024

C<sup>3</sup>: Confidence Calibration Model Cascade for Inference-Efficient Cross-Lingual Natural Language Understanding.
CoRR, 2024

Lens: A Foundation Model for Network Traffic in Cybersecurity.
CoRR, 2024

CAT: Interpretable Concept-based Taylor Additive Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Gait-Guard: Turn-aware Freezing of Gait Detection for Non-intrusive Intervention Systems.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2024

2023
General-Purpose Multi-Modal OOD Detection Framework.
CoRR, 2023

Neural Symbolic Regression using Control Variables.
CoRR, 2023

Condensed Prototype Replay for Class Incremental Learning.
CoRR, 2023

Balancing Privacy Protection and Interpretability in Federated Learning.
CoRR, 2023

Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Unified Knowledge Distillation Framework for Deep Directed Graphical Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Hear Sign Language: A Real-Time End-to-End Sign Language Recognition System.
IEEE Trans. Mob. Comput., 2022

Real-Time Task Scheduling for Machine Perception in Intelligent Cyber-Physical Systems.
IEEE Trans. Computers, 2022

ControlVAE: Tuning, Analytical Properties, and Performance Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning.
CoRR, 2022

Phy-Taylor: Physics-Model-Based Deep Neural Networks.
CoRR, 2022

ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection.
CoRR, 2022

Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Rethinking Controllable Variational Autoencoders.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Patient Similarity Learning with Selective Forgetting.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Mining social sensing data: representation, modeling, and applications
PhD thesis, 2021

Trustworthy and Cost-Effective Cell Selection for Sparse Mobile Crowdsensing Systems.
IEEE Trans. Veh. Technol., 2021

Truth Discovery With Multi-Modal Data in Social Sensing.
IEEE Trans. Computers, 2021

Deep Compressive Offloading: Speeding Up Edge Offloading for AI Services.
GetMobile Mob. Comput. Commun., 2021

Pain-FL: Personalized Privacy-Preserving Incentive for Federated Learning.
IEEE J. Sel. Areas Commun., 2021

Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization.
Frontiers Big Data, 2021

Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders.
CoRR, 2021

Controllable and Diverse Text Generation in E-commerce.
Proceedings of the WWW '21: The Web Conference 2021, 2021


DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

On Orthogonality Constraints for Transformers.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
GIobalFusion: A Global Attentional Deep Learning Framework for Multisensor Information Fusion.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

ControlVAE: Tuning, Analytical Properties, and Performance Analysis.
CoRR, 2020

Challenging β-VAE with β<1 for Disentanglement Via Dynamic Learning.
CoRR, 2020

Controllable Variational Autoencoder.
CoRR, 2020

Disentangling Overlapping Beliefs by Structured Matrix Factorization.
CoRR, 2020

Multiscale online media simulation with SocialCube.
Comput. Math. Organ. Theory, 2020

paper2repo: GitHub Repository Recommendation for Academic Papers.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Deep compressive offloading: speeding up neural network inference by trading edge computation for network latency.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

Scheduling Real-time Deep Learning Services as Imprecise Computations.
Proceedings of the 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2020

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

Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
Privacy-Preserving Crowd-Sourced Statistical Data Publishing with An Untrusted Server.
IEEE Trans. Mob. Comput., 2019

AirMouse: Turning a Pair of Glasses Into a Mouse in the Air.
IEEE Internet Things J., 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

Eugene: Towards Deep Intelligence as a Service.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

A Latent Hawkes Process Model for Event Clustering and Temporal Dynamics Learning with Applications in GitHub.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

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

GreenRoute: A Generalizable Fuel-Saving Vehicular Navigation Service.
Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

Unsupervised Fact-finding with Multi-modal Data in Social Sensing.
Proceedings of the 22th International Conference on Information Fusion, 2019

2018
SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Deep Learning for the Internet of Things.
Computer, 2018

A predictive Self-Configuring Simulator for Online Media.
Proceedings of the 2018 Winter Simulation Conference, 2018

FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

A Constrained Maximum Likelihood Estimator for Unguided Social Sensing.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Codrive: cooperative driving scheme for vehicles in urban signalized intersections.
Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems, 2018

2017
Double-Layer Compressive Sensing Based Efficient DOA Estimation in WSAN with Block Data Loss.
Sensors, 2017

VibeBin: A Vibration-Based Waste Bin Level Detection System.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Optimizing Source Selection in Social Sensing in the Presence of Influence Graphs.
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

Demo: Unsupervised Fill-level Estimation for Smart Trash Removal Systems.
Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks, 2017

2016
An Experimental Evaluation of Datacenter Workloads On Low-Power Embedded Micro Servers.
Proc. VLDB Endow., 2016

2014
Efficient Closed-Form Algorithms for AOA Based Self-Localization of Sensor Nodes Using Auxiliary Variables.
IEEE Trans. Signal Process., 2014

Optimal Load Balancing and Energy Cost Management for Internet Data Centers in Deregulated Electricity Markets.
IEEE Trans. Parallel Distributed Syst., 2014

Novel closed-form auxiliary variables based algorithms for sensor node localization using AOA.
Proceedings of the IEEE International Conference on Acoustics, 2014

2012
Integrated Tracking Initiation Mechanism Based on Probability for Bearing-Only Sensor Networks.
Proceedings of the Advances in Wireless Sensor Networks, 2012


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