Michael Zhang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Simple linear attention language models balance the recall-throughput tradeoff.
CoRR, 2024

The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry.
CoRR, 2024

2023
EVKG: An interlinked and interoperable electric vehicle knowledge graph for smart transportation system.
Trans. GIS, June, 2023

Disparities in public understanding, attitudes, and intentions during the Covid-19 pandemic: The role of health literacy.
Inf. Serv. Use, 2023

Enabling CMF Estimation in Data-Constrained Scenarios: A Semantic-Encoding Knowledge Mining Model.
CoRR, 2023

Joint Optimization of Traffic Signal Control and Vehicle Routing in Signalized Road Networks using Multi-Agent Deep Reinforcement Learning.
CoRR, 2023

Option applications for retailers in a decentralized inventory system.
Comput. Ind. Eng., 2023

Simple Hardware-Efficient Long Convolutions for Sequence Modeling.
Proceedings of the International Conference on Machine Learning, 2023

Effectively Modeling Time Series with Simple Discrete State Spaces.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
A New Perspective of E-Trust in the Era of Social Media: Insights From Customer Satisfaction Data.
IEEE Trans. Engineering Management, 2022

Deep Learning and Symbolic Regression for Discovering Parametric Equations.
CoRR, 2022

A road network simplification algorithm that preserves topological properties.
Appl. Netw. Sci., 2022

Shoring up the foundations: fusing model embeddings and weak supervision.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Contrastive Adapters for Foundation Model Group Robustness.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity.
Proceedings of the Machine Learning for Healthcare Conference, 2022

Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations.
Proceedings of the International Conference on Machine Learning, 2022

Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning.
Proceedings of the International Conference on Machine Learning, 2022

Triangle and Four Cycle Counting with Predictions in Graph Streams.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Intelligent Scheduling for IoT Applications at the Network Edge.
PhD thesis, 2021

Edge-adaptable serverless acceleration for machine learning Internet of Things applications.
Softw. Pract. Exp., 2021

New necessary and sufficient condition for the irreducibility of joint inventory positions in an assemble-to-order system.
Oper. Res. Lett., 2021

Personalized Federated Learning with First Order Model Optimization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Sparta: Heat-Budget-Based Scheduling Framework on IoT Edge Systems.
Proceedings of the Edge Computing - EDGE 2021, 2021

2020
Characterizing Policy Divergence for Personalized Meta-Reinforcement Learning.
CoRR, 2020

STOIC: Serverless Teleoperable Hybrid Cloud for Machine Learning Applications on Edge Device.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

Document-level Neural MT: A Systematic Comparison.
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020

Soft Multicopter Control Using Neural Dynamics Identification.
Proceedings of the 4th Conference on Robot Learning, 2020

Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery.
Proceedings of the AMIA 2020, 2020

Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Group-Sparsity-Based Super-Resolution Dipole Orientation Mapping.
IEEE Trans. Medical Imaging, 2019

Synthetic Biology Open Language (SBOL) Version 2.3.
J. Integr. Bioinform., 2019

Deep Weighted Averaging Classifiers.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Risk-Managed Strategy Index.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

Seneca: Fast and Low Cost Hyperparameter Search for Machine Learning Models.
Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

2018
Synthetic Biology Open Language (SBOL) Version 2.2.0.
J. Integr. Bioinform., 2018

Tracking Causal Order in AWS Lambda Applications.
Proceedings of the 2018 IEEE International Conference on Cloud Engineering, 2018

2017
Rapid and Low-Cost CRP Measurement by Integrating a Paper-Based Microfluidic Immunoassay with Smartphone (CRP-Chip).
Sensors, 2017

Reducing cost and abandoned E-components in incomplete identification.
J. Oper. Res. Soc., 2017

Dynamic quotation of leadtime and price for a Make-To-Order system with multiple customer classes and perfect information on customer preferences.
Eur. J. Oper. Res., 2017

Probabilistically safe policy transfer.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Reverse Curriculum Generation for Reinforcement Learning.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016
Synthetic Biology Open Language (SBOL) Version 2.1.0.
J. Integr. Bioinform., 2016

The Impacts of Geographic Dispersion on OSS Project Success: Face-to-face vs. Virtual Collaboration.
Proceedings of the International Conference on Information Systems, 2016

2015
Turnpike properties of group testing for incomplete identification.
Oper. Res. Lett., 2015

2014
High-Performance Vehicle Streams: Communication and Control Architecture.
IEEE Trans. Veh. Technol., 2014

2010
Optimal fences and joint price and inventory decisions in distinct markets with demand leakage.
Eur. J. Oper. Res., 2010

2007
The effect of market segmentation with demand leakage between market segments on a firm's price and inventory decisions.
Eur. J. Oper. Res., 2007

2005
Virtual reality and innovation networks: opportunity exploitation in dynamic SMEs.
Int. J. Technol. Manag., 2005

Accelerating Multiprocessor Simulation with a Memory Timestamp Record.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2005

Victim Replication: Maximizing Capacity while Hiding Wire Delay in Tiled Chip Multiprocessors.
Proceedings of the 32st International Symposium on Computer Architecture (ISCA 2005), 2005

2004
An investigation into subspace rapid speaker adaptation.
Proceedings of the 2004 International Symposium on Chinese Spoken Language Processing, 2004

2002
Fine-grain CAM-tag cache resizing using miss tags.
Proceedings of the 2002 International Symposium on Low Power Electronics and Design, 2002

2001
Low-voltage swing clock distribution schemes.
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001

2000
Dynamic zero compression for cache energy reduction.
Proceedings of the 33rd Annual IEEE/ACM International Symposium on Microarchitecture, 2000


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