Qi Sun

Orcid: 0000-0001-5153-6698

Affiliations:
  • Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
  • Zhejiang University, Hangzhou, China
  • Cornell University, Ithaca, NY, USA (2022)
  • Chinese University of Hong Kong, Hong Kong (PhD 2022)


According to our database1, Qi Sun authored at least 28 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
GTCO: Graph and Tensor Co-Design for Transformer-Based Image Recognition on Tensor Cores.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2024

BOOM-Explorer: RISC-V BOOM Microarchitecture Design Space Exploration.
ACM Trans. Design Autom. Electr. Syst., January, 2024

2023
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., October, 2023

Reliability-Driven Memristive Crossbar Design in Neuromorphic Computing Systems.
IEEE Trans Autom. Sci. Eng., 2023

Mixed-Type Wafer Failure Pattern Recognition.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design.
ACM Trans. Design Autom. Electr. Syst., 2022

An Efficient Sharing Grouped Convolution via Bayesian Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Counteracting Adversarial Attacks in Autonomous Driving.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Deep H-GCN: Fast Analog IC Aging-Induced Degradation Estimation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

DAMO: Deep Agile Mask Optimization for Full-Chip Scale.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

GTuner: tuning DNN computations on GPU via graph attention network.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

PCL: Proxy-based Contrastive Learning for Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Techniques for CAD Tool Parameter Auto-tuning in Physical Synthesis: A Survey (Invited Paper).
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

Context-Based Contrastive Learning for Scene Text Recognition.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
OpenMPL: An Open-Source Layout Decomposer.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

AutoGTCO: Graph and Tensor Co-Optimize for Image Recognition with Transformers on GPU.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

BOOM-Explorer: RISC-V BOOM Microarchitecture Design Space Exploration Framework.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Deep Neural Network Hardware Deployment Optimization via Advanced Active Learning.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Global Placement with Deep Learning-Enabled Explicit Routability Optimization.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Analog IC Aging-induced Degradation Estimation via Heterogeneous Graph Convolutional Networks.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

Machine Learning in Nanometer AMS Design-for-Reliability : (Invited Paper).
Proceedings of the 14th IEEE International Conference on ASIC, 2021

2019
Power-Driven DNN Dataflow Optimization on FPGA.
Proceedings of the International Conference on Computer-Aided Design, 2019

OpenMPL: An Open Source Layout Decomposer: Invited Paper.
Proceedings of the 13th IEEE International Conference on ASIC, 2019

2018
OpenMPL: An Open Source Layout Decomposer.
CoRR, 2018


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