Hui-Ling Zhen

Orcid: 0000-0003-0310-3825

According to our database1, Hui-Ling Zhen authored at least 33 papers between 2014 and 2024.

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Bibliography

2024
EDA-Driven Preprocessing for SAT Solving.
CoRR, 2024

The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models.
CoRR, 2024

IB-Net: Initial Branch Network for Variable Decision in Boolean Satisfiability.
CoRR, 2024

SoLA: Solver-Layer Adaption of LLM for Better Logic Reasoning.
CoRR, 2024

BetterV: Controlled Verilog Generation with Discriminative Guidance.
CoRR, 2024

LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation.
CoRR, 2024

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications.
CoRR, 2024

2023
Machine Learning Methods in Solving the Boolean Satisfiability Problem.
Mach. Intell. Res., October, 2023

A survey for solving mixed integer programming via machine learning.
Neurocomputing, 2023

Conflict-driven Structural Learning Towards Higher Coverage Rate in ATPG.
CoRR, 2023

HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

DeepGate2: Functionality-Aware Circuit Representation Learning.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

SATformer: Transformer-Based UNSAT Core Learning.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Fault Simulation Acceleration Based on ARM Multi-core CPU Architecture.
Proceedings of the 32nd IEEE Asian Test Symposium, 2023

2022
Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning.
IEEE Trans. Cybern., 2022

Learning to select cuts for efficient mixed-integer programming.
Pattern Recognit., 2022

SATformer: Transformers for SAT Solving.
CoRR, 2022

Machine Learning Methods in Solving the Boolean Satisfiability Problem.
CoRR, 2022

A Survey for Solving Mixed Integer Programming via Machine Learning.
CoRR, 2022

Bilevel learning for large-scale flexible flow shop scheduling.
Comput. Ind. Eng., 2022

Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Neural Fault Analysis for SAT-based ATPG.
Proceedings of the IEEE International Test Conference, 2022

Accelerate SAT-based ATPG via Preprocessing and New Conflict Management Heuristics.
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

2020
Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization.
IEEE Trans. Cybern., 2020

Bilevel Learning Model Towards Industrial Scheduling.
CoRR, 2020

2019
Pareto Multi-Task Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
A Batched Scalable Multi-Objective Bayesian Optimization Algorithm.
CoRR, 2018

Nonlinear Collaborative Scheme for Deep Neural Networks.
CoRR, 2018

2017
Dynamic behaviors for a perturbed nonlinear Schrödinger equation with the power-law nonlinearity in a non-Kerr medium.
Commun. Nonlinear Sci. Numer. Simul., 2017

2016
Bright-dark vector soliton solutions for a generalized coupled Hirota system in the optical glass fiber.
Commun. Nonlinear Sci. Numer. Simul., 2016

Soliton solutions and chaotic motions for the (2+1)-dimensional Zakharov equations in a laser-induced plasma.
Comput. Math. Appl., 2016

2014
Dynamic behaviors and soliton solutions of the modified Zakharov-Kuznetsov equation in the electrical transmission line.
Comput. Math. Appl., 2014

Dynamics of an integrable Kadomtsev-Petviashvili-based system.
Appl. Math. Lett., 2014


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