Jialin Lu

Orcid: 0000-0001-7721-6852

According to our database1, Jialin Lu authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
A2C-DRL: Dynamic Scheduling for Stochastic Edge-Cloud Environments Using A2C and Deep Reinforcement Learning.
IEEE Internet Things J., May, 2024

2023
High-Level Topology Synthesis Method for Δ-Σ Modulators via Bi-Level Bayesian Optimization.
IEEE Trans. Circuits Syst. II Express Briefs, December, 2023

Automatic Op-Amp Generation From Specification to Layout.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

Graph Representation Learning for Microarchitecture Design Space Exploration.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Subgroup Discovery in Unstructured Data.
CoRR, 2022

Topology Optimization of Operational Amplifier in Continuous Space via Graph Embedding.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021
An Interactive Visualization Tool for Understanding Active Learning.
CoRR, 2021

Interpretable Drug Response Prediction using a Knowledge-based Neural Network.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

High-Confidence Sample Labelling for Unsupervised Person Re-identification.
Proceedings of the Cognitive Systems and Information Processing, 2021

Multiple Granularities with Gradual Transition Network for Person Re-identification.
Proceedings of the Cognitive Systems and Information Processing, 2021

Automated Compensation Scheme Design for Operational Amplifier via Bayesian Optimization.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020
A Mixed-Variable Bayesian Optimization Approach for Analog Circuit Synthesis.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019
An Active Approach for Model Interpretation.
CoRR, 2019


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