Yifan Hao

Orcid: 0009-0002-9823-2573

According to our database1, Yifan Hao authored at least 42 papers between 2012 and 2024.

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Bibliography

2024
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024

On the Benefits of Over-parameterization for Out-of-Distribution Generalization.
CoRR, 2024

Assessing and Understanding Creativity in Large Language Models.
CoRR, 2024

The Surprising Harmfulness of Benign Overfitting for Adversarial Robustness.
CoRR, 2024

Emergent Communication for Numerical Concepts Generalization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Hardware Acceleration for SLAM in Mobile Systems.
J. Comput. Sci. Technol., December, 2023

Chip design with machine learning: a survey from algorithm perspective.
Sci. China Inf. Sci., November, 2023

A novel head network and group normalisation help track more accurately.
IET Image Process., 2023

Emergent Communication for Rules Reasoning.
CoRR, 2023

Spurious Feature Diversification Improves Out-of-distribution Generalization.
CoRR, 2023

Monte Carlo Sampling without Isoperimetry: A Reverse Diffusion Approach.
CoRR, 2023

Pushing the Limits of Machine Design: Automated CPU Design with AI.
CoRR, 2023

Learning Domain-Aware Detection Head with Prompt Tuning.
CoRR, 2023

Ultra-low Precision Multiplication-free Training for Deep Neural Networks.
CoRR, 2023

Learning Domain-Aware Detection Head with Prompt Tuning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Emergent Communication for Rules Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

BALTO: fast tensor program optimization with diversity-based active learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Automated Parameters Prediction for Microwave Thermal Ablation of Liver Tumor with Ultrasound Image.
Proceedings of the IEEE International Conference on Development and Learning, 2023

2022
A Compact Mid-Wave Infrared Imager System With Real-Time Target Detection and Tracking.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Class-Specific Attention (CSA) for Time-Series Classification.
CoRR, 2022

Capillaries segmentation of NIR-II images and its application in ischemic stroke.
Comput. Biol. Medicine, 2022

Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

2021
Identify Significant Phenomenon-Specific Variables for Multivariate Time Series.
IEEE Trans. Knowl. Data Eng., 2021

Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online Detection.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Five Challenges in Cloud-enabled Intelligence and Control.
ACM Trans. Internet Techn., 2020

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

Normalized Recurrent Dynamic Adaption Network: A New Framework With Dynamic Alignment for Intelligent Fault Diagnosis.
IEEE Access, 2020

CNN Approaches to Classify Multivariate Time Series Using Class-specific Features.
Proceedings of the IEEE International Conference on Smart Data Services, 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

Reconciling Predictability and Coherent Caching.
Proceedings of the 9th Mediterranean Conference on Embedded Computing, 2020

A New Attention Mechanism to Classify Multivariate Time Series.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Cache Where you Want! Reconciling Predictability and Coherent Caching.
CoRR, 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

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

A Command-by-Intent Architecture for Battlefield Information Acquisition Systems.
Proceedings of the 21st International Conference on Information Fusion, 2018

2016
Signal features for classification of power system disturbances using PMU data.
Proceedings of the Power Systems Computation Conference, 2016

2015
Efficient keyword search on graphs using MapReduce.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
<i>K</i>-anonymity for social networks containing rich structural and textual information.
Soc. Netw. Anal. Min., 2014

2013
STK-anonymity: k-anonymity of social networks containing both structural and textual information.
Proceedings of the 3rd ACM SIGMOD Workshop on Databases and Social Networks, 2013

2012
Discovering Context-aware Influential Objects.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012


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