Mingxuan Yuan

Orcid: 0000-0002-2236-8784

According to our database1, Mingxuan Yuan authored at least 130 papers between 2005 and 2024.

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Bibliography

2024
Self-Improved Learning for Scalable Neural Combinatorial Optimization.
CoRR, 2024

EDA-Driven Preprocessing for SAT Solving.
CoRR, 2024

Circuit Transformer: End-to-end Circuit Design by Predicting the Next Gate.
CoRR, 2024

HDLdebugger: Streamlining HDL debugging with Large Language Models.
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

Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization.
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

An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search.
CoRR, 2024

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank.
Proc. VLDB Endow., 2023

Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees.
Proc. ACM Manag. Data, 2023

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

Algorithm Evolution Using Large Language Model.
CoRR, 2023

Large Language Model for Multi-objective Evolutionary Optimization.
CoRR, 2023

A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design.
CoRR, 2023

Heuristics for Vehicle Routing Problem: A Survey and Recent Advances.
CoRR, 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

SGDP: A Stream-Graph Neural Network Based Data Prefetcher.
Proceedings of the International Joint Conference on Neural Networks, 2023

Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

IT-DSE: Invariance Risk Minimized Transfer Microarchitecture Design Space Exploration.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 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

EffiSyn: Efficient Logic Synthesis with Dynamic Scoring and Pruning.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

A Database Dependent Framework for K-Input Maximum Fanout-Free Window Rewriting.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Layout Decomposition via Boolean Satisfiability.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Lightweight Structural Choices Operator for Technology Mapping.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Context-Aware Telco Outdoor Localization.
IEEE Trans. Mob. Comput., 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

LQoCo: Learning to Optimize Cache Capacity Overloading in Storage Systems.
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

A Data-Driven Column Generation Algorithm For Bin Packing Problem in Manufacturing Industry.
CoRR, 2022

Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition.
CoRR, 2022

Learning to Reformulate for Linear Programming.
CoRR, 2022

An Improved Reinforcement Learning Algorithm for Learning to Branch.
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

Learning to Optimize DAG Scheduling in Heterogeneous Environment.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

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

Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

L-QoCo: learning to optimize cache capacity overloading in storage systems.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

HIMap: a heuristic and iterative logic synthesis approach.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

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

2021
Transfer Learning-Based Outdoor Position Recovery With Cellular Data.
IEEE Trans. Mob. Comput., 2021

A Data-Driven Sequential Localization Framework for Big Telco Data.
IEEE Trans. Knowl. Data Eng., 2021

Learning to Optimize DAG Scheduling in Heterogeneous Environment.
CoRR, 2021

Learning-Aided Heuristics Design for Storage System.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Block Access Pattern Discovery via Compressed Full Tensor Transformer.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
PlanningVis: A Visual Analytics Approach to Production Planning in Smart Factories.
IEEE Trans. Vis. Comput. Graph., 2020

Bilevel Learning Model Towards Industrial Scheduling.
CoRR, 2020

DFSeer: A Visual Analytics Approach to Facilitate Model Selection for Demand Forecasting.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
User Preference Analysis for Most Frequent Peer/Dominator.
IEEE Trans. Knowl. Data Eng., 2019

Transfer Learning-Based Outdoor Position Recovery with Telco Data.
CoRR, 2019

A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

PRNet: Outdoor Position Recovery for Heterogenous Telco Data by Deep Neural Network.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Experimental Study of Multivariate Time Series Forecasting Models.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Context Aware Telco Churn Prediction Powered By Temporal Feature Engineering.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Frequent Pattern-Based Map-Matching on Low Sampling Rate Trajectories.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

A Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem with 3D Container Loading Constraint.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Qualitative Instead of Quantitative: Towards Practical Data Analysis Under Differential Privacy.
Proceedings of the Database Systems for Advanced Applications, 2018

A Two-Layer Algorithmic Framework for Service Provider Configuration and Planning with Optimal Spatial Matching.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

BSLoc: Base Station ID-Based Telco Outdoor Localization.
Proceedings of the Algorithms for Sensor Systems, 2018

2017
Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport.
IEEE Trans. Big Data, 2017

Personalized user engagement modeling for mobile videos.
Comput. Networks, 2017

Embedding differential privacy in decision tree algorithm with different depths.
Sci. China Inf. Sci., 2017

Mining Business Opportunities from Location-based Social Networks.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Topic Model-Based Road Network Inference from Massive Trajectories.
Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

Confidence Model-Based Data Repair for Telco Localization.
Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

Experimental Study of Telco Localization Methods.
Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

Demo abstract: Telco localization techniques.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

Traffic Prediction Based Power Saving in Cellular Networks: A Machine Learning Method.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Correction of Telecom Localization Errors by Context Knowledge.
Proceedings of the Web and Big Data, 2017

Searching k-Nearest Neighbor Trajectories on Road Networks.
Proceedings of the Databases Theory and Applications, 2017

2016
TelCoVis: Visual Exploration of Co-occurrence in Urban Human Mobility Based on Telco Data.
IEEE Trans. Vis. Comput. Graph., 2016

Enabling Scalable Geographic Service Sharing with Weighted Imprecise Voronoi Cells.
IEEE Trans. Knowl. Data Eng., 2016

Telco User Activity Level Prediction with Massive Mobile Broadband Data.
ACM Trans. Intell. Syst. Technol., 2016

Exploring cell tower data dumps for supervised learning-based point-of-interest prediction (industrial paper).
GeoInformatica, 2016

Toward accurate energy-efficient cellular network: switching off excessive carriers based on traffic profiling.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Apps on the move: A fine-grained analysis of usage behavior of mobile apps.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

City-Scale Localization with Telco Big Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

LDA Revisited: Entropy, Prior and Convergence.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

TelcoFlow: Visual exploration of collective behaviors based on telco data.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Privacy preserving graph publication in a distributed environment.
World Wide Web, 2015

Differential Privacy in Telco Big Data Platform.
Proc. VLDB Endow., 2015

Discover the Misinformation Broadcasting in On-Line Social Networks.
J. Inf. Sci. Eng., 2015

Telco Churn Prediction with Big Data.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Dissecting Regional Weather-Traffic Sensitivity Throughout a City.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Sampling Big Trajectory Data.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Mining target users for online marketing based on App Store data.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Privacy and Ethical Issues in Social Network Analysis.
Proceedings of the Social Networks: Analysis and Case Studies, 2014

OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data.
Proc. VLDB Endow., 2014

Protect You More Than Blank: Anti-Learning Sensitive User Information in the Social Networks.
J. Comput. Sci. Technol., 2014

OceanRT: real-time analytics over large temporal data.
Proceedings of the International Conference on Management of Data, 2014

Exploring cell tower data dumps for supervised learning-based point-of-interest prediction.
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014

Preserving Location-Related Privacy Collaboratively in Geo-social Networks.
Proceedings of the IEEE 38th Annual Computer Software and Applications Conference, 2014

2013
Protecting Sensitive Labels in Social Network Data Anonymization.
IEEE Trans. Knowl. Data Eng., 2013

Graph publication when the protection algorithm is available.
Data Knowl. Eng., 2013

Subscription Privacy Protection in Topic-Based Pub/Sub.
Proceedings of the Database Systems for Advanced Applications, 2013

2012
A General Framework for Publishing Privacy Protected and Utility Preserved Graph.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Semi-Edge Anonymity: Graph Publication when the Protection Algorithm Is Available.
Proceedings of the Database Systems for Advanced Applications, 2012

2011
Materialization and Decomposition of Dataspaces for Efficient Search.
IEEE Trans. Knowl. Data Eng., 2011

Node Protection in Weighted Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2011

2010
Hardware/software partitioning and pipelined scheduling on runtime reconfigurable FPGAs.
ACM Trans. Design Autom. Electr. Syst., 2010

Personalized Privacy Protection in Social Networks.
Proc. VLDB Endow., 2010

2009
An efficient technique for analysis of minimal buffer requirements of synchronous dataflow graphs with model checking.
Proceedings of the 7th International Conference on Hardware/Software Codesign and System Synthesis, 2009

2008
A Hierarchical Framework for Design Space Exploration and Optimization of TTP-Based Distributed Embedded Systems.
IEEE Trans. Ind. Informatics, 2008

Efficient SAT-Based Mapping and Scheduling of Homogeneous Synchronous Dataflow Graphs for Throughput Optimization.
Proceedings of the 29th IEEE Real-Time Systems Symposium, 2008

Hardware/Software Partitioning and Static Task Scheduling on Runtime Reconfigurable FPGAs using a SMT Solver.
Proceedings of the 14th IEEE Real-Time and Embedded Technology and Applications Symposium, 2008

Online adaptive utilization control for real-time embedded multiprocessor systems.
Proceedings of the 6th International Conference on Hardware/Software Codesign and System Synthesis, 2008

2007
Static Scheduling and Software Synthesis for Dataflow Graphs with Symbolic Model-Checking.
Proceedings of the 28th IEEE Real-Time Systems Symposium (RTSS 2007), 2007

Optimal Static Task Scheduling on Reconfigurable Hardware Devices Using Model-Checking.
Proceedings of the 13th IEEE Real-Time and Embedded Technology and Applications Symposium, 2007

Optimization of Static Task and Bus Access Schedules for Time-Triggered Distributed Embedded Systems with Model-Checking.
Proceedings of the 44th Design Automation Conference, 2007

2005
Dynamic privacy management: a plug-in service for the middleware in pervasive computing.
Proceedings of the 7th Conference on Human-Computer Interaction with Mobile Devices and Services, 2005


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