Haoyu Yang

Orcid: 0009-0004-5820-0547

According to our database1, Haoyu Yang authored at least 88 papers between 2010 and 2024.

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Bibliography

2024
RL-OPC: Mask Optimization With Deep Reinforcement Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024

Enhancing the transferability of adversarial examples on vision transformers.
J. Electronic Imaging, 2024

High-Throughput Screening and Prediction of Nucleophilicity of Amines Using Machine Learning and DFT Calculations.
J. Chem. Inf. Model., 2024

Intelligent OPC Engineer Assistant for Semiconductor Manufacturing.
CoRR, 2024

Differentiable Edge-based OPC.
CoRR, 2024

Robust Domain Generalization for Multi-modal Object Recognition.
CoRR, 2024

PIC2O-Sim: A Physics-Inspired Causality-Aware Dynamic Convolutional Neural Operator for Ultra-Fast Photonic Device FDTD Simulation.
CoRR, 2024

Prototype Comparison Convolutional Networks for One-Shot Segmentation.
IEEE Access, 2024

Application of Semi-Supervised Learning in Image Classification: Research on Fusion of Labeled and Unlabeled Data.
IEEE Access, 2024

Dig a Hole and Fill in Sand: Adversary and Hiding Decoupled Steganography.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent.
Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

ILILT: Implicit Learning of Inverse Lithography Technologies.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

DGR: Differentiable Global Router.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

APPLE: An Explainer of ML Predictions on Circuit Layout at the Circuit-Element Level.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023
DTEC: Decision tree-based evidential clustering for interpretable partition of uncertain data.
Pattern Recognit., December, 2023

Robust Learning with Noisy Ship Trajectories by Adaptive Noise Rate Estimation.
Sensors, August, 2023

Efficient Arithmetic Block Identification With Graph Learning and Network-Flow.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

Balancing covariates in multi-arm trials via adaptive randomization.
Comput. Stat. Data Anal., 2023

GPU-accelerated Matrix Cover Algorithm for Multiple Patterning Layout Decomposition.
CoRR, 2023

Entity Aware Modelling: A Survey.
CoRR, 2023

Transfer learning for process design with reinforcement learning.
CoRR, 2023

Unveiling Patterns: A Study on Semi-Supervised Classification of Strip Surface Defects.
IEEE Access, 2023

GraphSet: High Performance Graph Mining through Equivalent Set Transformations.
Proceedings of the International Conference for High Performance Computing, 2023

LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Design of smart tourism platform under Double Diamond Model design thinking.
Proceedings of the 16th International Symposium on Computational Intelligence and Design, 2023

Path Planning of AUV for Obstacle Avoidance with Improved Artificial Potential Field.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Causal Structure Learning from Imperfect Longitudinal Data in Healthcare.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

An Adversarial Active Sampling-Based Data Augmentation Framework for AI-Assisted Lithography Modeling.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Enabling Scalable AI Computational Lithography with Physics-Inspired Models.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

Research on Economic Data Collection and Analysis Platform Based on Cloud Computing and Internet of Things Technology.
Proceedings of the 2023 International Conference on AI and Metaverse in Supply Chain Management, 2023

2022
Prediction of Treatment Medicines With Dual Adaptive Sequential Networks.
IEEE Trans. Knowl. Data Eng., 2022

Deep Learning-Driven Simultaneous Layout Decomposition and Mask Optimization.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Hotspot Detection via Attention-Based Deep Layout Metric Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Faster Region-Based Hotspot Detection.
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

Bionic Fish Trajectory Tracking Based on a CPG and Model Predictive Control.
J. Intell. Robotic Syst., 2022

Interpretable fuzzy clustering using unsupervised fuzzy decision trees.
Inf. Sci., 2022

An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design.
CoRR, 2022

Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training.
CoRR, 2022

Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

An Online Learning Approach towards Far-sighted Emergency Relief Planning under Intentional Attacks in Conflict Areas.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Mixed-Cell-Height Legalization on CPU-GPU Heterogeneous Systems.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Generic lithography modeling with dual-band optics-inspired neural networks.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

ROS-X-Habitat: Bridging the ROS Ecosystem with Embodied AI.
Proceedings of the 19th Conference on Robots and Vision, 2022

2021
Machine Learning for Electronic Design Automation: A Survey.
ACM Trans. Design Autom. Electr. Syst., 2021

Bridging the Gap Between Layout Pattern Sampling and Hotspot Detection via Batch Active Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Deep Learning Analysis for Split-Manufactured Layouts With Routing Perturbation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Strategies for building robust prediction models using data unavailable at prediction time.
J. Am. Medical Informatics Assoc., 2021

VLSI mask optimization: From shallow to deep learning.
Integr., 2021

Routing Towards Discriminative Power of Class Capsules.
CoRR, 2021

Learning Point Clouds in EDA.
Proceedings of the ISPD '21: International Symposium on Physical Design, 2021

An Effective 3D Indoor Localization Approach Based on Fingerprint Fusion Positioning.
Proceedings of the 2021 International Conference on Control, 2021

Graph Learning-Based Arithmetic Block Identification.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Attentional Transfer is All You Need: Technology-aware Layout Pattern Generation.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Low-Cost Lithography Hotspot Detection with Active Entropy Sampling and Model Calibration.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 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

2020
Adversarial Perturbation Attacks on ML-based CAD: A Case Study on CNN-based Lithographic Hotspot Detection.
ACM Trans. Design Autom. Electr. Syst., 2020

GAN-OPC: Mask Optimization With Lithography-Guided Generative Adversarial Nets.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

SRAF Insertion via Supervised Dictionary Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Teaching deep learning causal effects improves predictive performance.
CoRR, 2020

Estimation of Travel Time Based on Ensemble Method With Multi-Modality Perspective Urban Big Data.
IEEE Access, 2020

Research on Motion Mode Switching Method Based on CPG Network Reconstruction.
IEEE Access, 2020

Hotspot Detection via Attention-based Deep Layout Metric Learning.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

DAMO: Deep Agile Mask Optimization for Full Chip Scale.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019
Layout Hotspot Detection With Feature Tensor Generation and Deep Biased Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Unsupervised EEG feature extraction based on echo state network.
Inf. Sci., 2019

Automatic Layout Generation with Applications in Machine Learning Engine Evaluation.
CoRR, 2019

Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection.
CoRR, 2019

DeePattern: Layout Pattern Generation with Transforming Convolutional Auto-Encoder.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Attacking Split Manufacturing from a Deep Learning Perspective.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Faster Region-based Hotspot Detection.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Detecting multi-layer layout hotspots with adaptive squish patterns.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

SRAF insertion via supervised dictionary learning.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018
A Treatment Engine by Predicting Next-Period Prescriptions.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Sparse VLSI Layout Feature Extraction: A Dictionary Learning Approach.
Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

Review of Important Protein Search Algorithms.
Proceedings of the 2nd International Conference on Vision, Image and Signal Processing, 2018

Parameter Analysis and Design of Annular Deployable Tensegrity Antenna.
Proceedings of the IEEE International Conference on Information and Automation, 2018

GAN-OPC: mask optimization with lithography-guided generative adversarial nets.
Proceedings of the 55th Annual Design Automation Conference, 2018

2017
Lithography hotspot detection: From shallow to deep learning.
Proceedings of the 30th IEEE International System-on-Chip Conference, 2017

Layout Hotspot Detection with Feature Tensor Generation and Deep Biased Learning.
Proceedings of the 54th Annual Design Automation Conference, 2017

Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
BCISeach: A Searching Platform of Breast Cancer Text Mining for Biomedical Literature.
Proceedings of the 12th International Conference on Semantics, Knowledge and Grids, 2016

Extraction of biomedical informtion related to breast cancer using text mining.
Proceedings of the 12th International Conference on Natural Computation, 2016

VLSI layout hotspot detection based on discriminative feature extraction.
Proceedings of the 2016 IEEE Asia Pacific Conference on Circuits and Systems, 2016

2014
Bug Inducing Analysis to Prevent Fault Prone Bug Fixes.
Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014

2010
Communication Protocols Realization of the Prediction and Evaluation Light Environment Embedded Systems.
Proceedings of the 2010 International Conference on Machine Vision and Human-machine Interface, 2010


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