Min Li

Affiliations:

Chinese University of Hong Kong, CURE Lab, Hong Kong

According to our database¹, Min Li authored at least 19 papers between 2019 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2023

Addressing Variable Dependency in GNN-based SAT Solving.

[BibT_eX]

[DOI]

CoRR, 2023

DeepSeq: Deep Sequential Circuit Learning.

[BibT_eX]

[DOI]

CoRR, 2023

DeepGate2: Functionality-Aware Circuit Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

SATformer: Transformer-Based UNSAT Core Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

On EDA-Driven Learning for SAT Solving.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

SATformer: Transformers for SAT Solving.

[BibT_eX]

[DOI]

CoRR, 2022

DeepSAT: An EDA-Driven Learning Framework for SAT.

[BibT_eX]

[DOI]

CoRR, 2022

DeepTPI: Test Point Insertion with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Test Conference, 2022

T-WaveNet: A Tree-Structured Wavelet Neural Network for Time Series Signal Analysis.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

DeepGate: learning neural representations of logic gates.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Representation Learning of Logic Circuits.

[BibT_eX]

[DOI]

CoRR, 2021

Skimming and Scanning for Untrimmed Video Action Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Testability-Aware Low Power Controller Design with Evolutionary Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Test Conference, 2021

AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference.

[BibT_eX]

[DOI]

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

On Configurable Defense against Adversarial Example Attacks.

[BibT_eX]

[DOI]

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

DeepDyve: Dynamic Verification for Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

Lightweight prediction based big/little design for efficient neural network inference.

[BibT_eX]

[DOI]

Ye Tian

Min Li

Qiang Xu

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

D2NN: a fine-grained dual modular redundancy framework for deep neural networks.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Computer Security Applications Conference, 2019

Min Li

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