Publications

Differentiable Edge-based OPC

2024 ACM/IEEE International Conference on Computer-Aided Design (ICCAD)

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Differentiable Edge-based OPC

ReLS: Retrieval Is Efficient Knowledge Transfer For Logic Synthesis

2024 ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD)

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ReLS: Retrieval Is Efficient Knowledge Transfer For Logic Synthesis

Learning to Compare Hardware Designs for High-Level Synthesis

2024 ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD)

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Learning to Compare Hardware Designs for High-Level Synthesis

Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent

ACM/IEEE International Symposium on Machine Learning for CAD

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Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent

VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool

arXiv preprint

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VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool

ILILT: Implicit Learning of Inverse Lithography Technologies

International Conference on Machine Learning (ICML)

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ILILT: Implicit Learning of Inverse Lithography Technologies

Large Language Model (LLM) for Standard Cell Layout Design Optimization

The First IEEE International Workshop on LLM-Aided Design (LAD)
Best Paper Award

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Large Language Model (LLM) for Standard Cell Layout Design Optimization

Challenges for Automating PCB Layout (Invited)

2024 International VLSI Symposium on Technology, Systems and Applications (VLSI TSA)

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RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models

2024 ACM/IEEE Design Automation Conference (DAC)

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RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models

OpenROAD and CircuitOps: Infrastructure for ML EDA Research and Education

2024 IEEE 42nd VLSI Test Symposium

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OpenROAD and CircuitOps: Infrastructure for ML EDA Research and Education

DiMO-Sparse: Differentiable Modeling and Optimization of Sparse CNN Dataflow and Hardware Architecture

2024 Design, Automation & Test in Europe Conference (DATE)

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DiMO-Sparse: Differentiable Modeling and Optimization of Sparse CNN Dataflow and Hardware Architecture

Novel Transformer Model Based Clustering Method for Standard Cell Design Automation

2024 International Symposium on Physical Design
Best Paper Award

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Novel Transformer Model Based Clustering Method for Standard Cell Design Automation

Challenges for Automating PCB Layout (Invited)

2024 International Symposium on Physical Design

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MedPart: A Multi-Level Evolutionary Differentiable Hypergraph Partitioner

2024 International Symposium on Physical Design (ISPD)

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MedPart: A Multi-Level Evolutionary Differentiable Hypergraph Partitioner

GPU/ML-Enhanced Large Scale Global Routing Contest

2024 ACM International Symposium on Physical Design (ISPD)

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GPU/ML-Enhanced Large Scale Global Routing Contest

CircuitOps: An ML Infrastructure Enabling Generative AI for VLSI Circuit Optimization

2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)

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CircuitOps: An ML Infrastructure Enabling Generative AI for VLSI Circuit Optimization

Late Breaking Results: Test Selection For RTL Coverage By Unsupervised Learning From Fast Functional Simulation

2023 Design Automation Conference (DAC)

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Late Breaking Results: Test Selection For RTL Coverage By Unsupervised Learning From Fast Functional Simulation

GATSPI: GPU accelerated gate-level simulation for power improvement

2022 Design Automation Conference (DAC)

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GATSPI: GPU accelerated gate-level simulation for power improvement

NVCell 2: Routability-Driven Standard Cell Layout in Advanced Nodes with Lattice Graph Routability Model

2023 International Symposium on Physical Design

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NVCell 2: Routability-Driven Standard Cell Layout in Advanced Nodes with Lattice Graph Routability Model

Enabling scalable AI computational lithography with physics-inspired models

Asia and South Pacific Design Automation Conference (ASP-DAC)

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Enabling scalable AI computational lithography with physics-inspired models

BufFormer: A Generative ML Framework for Scalable Buffering

2023 Asia and South Pacific Design Automation Conference (ASP-DAC)

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BufFormer: A Generative ML Framework for Scalable Buffering

Placement Optimization via PPA-Directed Graph Clustering

2022 ACM/IEEE Workshop on Machine Learning for CAD (MLCAD)
Best Paper Award

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Placement Optimization via PPA-Directed Graph Clustering

Generic lithography modeling with dual-band optics-inspired neural networks

ACM/IEEE Design Automation Conference

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Generic lithography modeling with dual-band optics-inspired neural networks

GRANNITE: Graph Neural Network Inference for Transferable Power Estimation

2020 Design Automation Conference (DAC)

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GRANNITE: Graph Neural Network Inference for Transferable Power Estimation