We stand with Ukraine

We stand with Ukraine

Jianyi Yang

Orcid: 0000-0002-4041-4211

Affiliations:

University of Houston, TX, USA
University of California, Riverside, Riverside, USA (former)

According to our database¹, Jianyi Yang authored at least 26 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org
on jyang-ai.github.io

On csauthors.net:

Bibliography

2024

Online Allocation with Replenishable Budgets: Worst Case and Beyond.

[BibT_eX]

[DOI]

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Mohammad Jaminur Islam

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Proc. ACM Meas. Anal. Comput. Syst., 2024

Towards Socially and Environmentally Responsible AI.

[BibT_eX]

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CoRR, 2024

Building Socially-Equitable Public Models.

[BibT_eX]

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Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Towards Environmentally Equitable AI via Geographical Load Balancing.

[BibT_eX]

[DOI]

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CoRR, 2023

Learning-Augmented Decentralized Online Convex Optimization in Networks.

[BibT_eX]

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CoRR, 2023

Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models.

[BibT_eX]

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Mohammad A. Islam

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CoRR, 2023

Anytime-Competitive Reinforcement Learning with Policy Prior.

[BibT_eX]

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Learning for Smoothed Online Convex Optimization with Feedback Delay.

[BibT_eX]

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robustified Learning for Online Optimization with Memory Costs.

[BibT_eX]

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Proceedings of the IEEE INFOCOM 2023, 2023

Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees.

[BibT_eX]

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Proceedings of the International Conference on Machine Learning, 2023

Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints.

[BibT_eX]

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Expert-Calibrated Learning for Online Optimization with Switching Costs.

[BibT_eX]

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Proc. ACM Meas. Anal. Comput. Syst., 2022

Improving QoE of Deep Neural Network Inference on Edge Devices: A Bandit Approach.

[BibT_eX]

[DOI]

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IEEE Internet Things J., 2022

Learning for Robust Combinatorial Optimization: Algorithm and Application.

[BibT_eX]

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Proceedings of the IEEE INFOCOM 2022, 2022

Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity.

[BibT_eX]

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Proceedings of the International Conference on Machine Learning, 2022

2021

One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search.

[BibT_eX]

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Proc. ACM Meas. Anal. Comput. Syst., 2021

Bandit Learning with Predicted Context: Regret Analysis and Selective Context Query.

[BibT_eX]

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Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract).

[BibT_eX]

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Robust Bandit Learning with Imperfect Context.

[BibT_eX]

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Quantitative Perspective on Values of Domain Knowledge for Machine Learning.

[BibT_eX]

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CoRR, 2020

Scaling Up Deep Neural Network Optimization for Edge Inference.

[BibT_eX]

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CoRR, 2020

Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets.

[BibT_eX]

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CoRR, 2020

Multi-Feedback Bandit Learning with Probabilistic Contexts.

[BibT_eX]

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Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Increasing the Trustworthiness of Deep Neural Networks via Accuracy Monitoring.

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Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), 2020

Poster: Scaling Up Deep Neural Network optimization for Edge Inference†.

[BibT_eX]

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Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

2019

Automating Deep Neural Network Model Selection for Edge Inference.

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Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

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