Siting Liu

Orcid: 0000-0002-2454-5561

Affiliations:
  • Chinese University of Hong Kong, Hong Kong, SAR, China


According to our database1, Siting Liu authored at least 16 papers between 2021 and 2024.

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Bibliography

2024
Analytical Heterogeneous Die-to-Die 3D Placement with Macros.
CoRR, 2024

Routing-aware Legal Hybrid Bonding Terminal Assignment for 3D Face-to-Face Stacked ICs.
Proceedings of the 2024 International Symposium on Physical Design, 2024

2023
DREAMPlace 4.0: Timing-Driven Placement With Momentum-Based Net Weighting and Lagrangian-Based Refinement.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., October, 2023

FastGR: Global Routing on CPU-GPU With Heterogeneous Task Graph Scheduler.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2023

FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Lay-Net: Grafting Netlist Knowledge on Layout-Based Congestion Prediction.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Mitigating Distribution Shift for Congestion Optimization in Global Placement.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Restructure-Tolerant Timing Prediction via Multimodal Fusion.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Concurrent Sign-off Timing Optimization via Deep Steiner Points Refinement.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

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

FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

DREAMPlace 4.0: Timing-driven Global Placement with Momentum-based Net Weighting.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021
Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design.
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

Attacking a CNN-based Layout Hotspot Detector Using Group Gradient Method.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

Physical Synthesis for Advanced Neural Network Processors.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021


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