Lingfei Wu

Orcid: 0009-0008-8081-6275

Affiliations:
  • Anytime.AI, USA
  • Pinterest Inc., Francisco, CA, USA (former)
  • JD.COM, Silicon Valley Research Center, Mountain View, CA, USA (former)
  • IBM Research, Thomas J. Watson Research Center, Yorktown Heights, NY, USA (former)
  • College of William and Mary, Department of Computer Science, Williamsburg, VA, USA (PhD 2016)
  • University of Science and Technology of China, Department of Automation, Hefei, China (former)


According to our database1, Lingfei Wu authored at least 162 papers between 2008 and 2024.

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Bibliography

2024
Multi-Interest Multi-Round Conversational Recommendation System with Fuzzy Feedback Based User Simulator.
Trans. Recomm. Syst., December, 2024

Ask Questions With Double Hints: Visual Question Generation With Answer-Awareness and Region-Reference.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

TeKo: Text-Rich Graph Neural Networks With External Knowledge.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable Nature.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension.
ACM Trans. Intell. Syst. Technol., August, 2024

RustGraph: Robust Anomaly Detection in Dynamic Graphs by Jointly Learning Structural-Temporal Dependency.
IEEE Trans. Knowl. Data Eng., July, 2024

Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks.
ACM Comput. Surv., May, 2024

GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks.
Mach. Intell. Res., April, 2024

Iterative or Innovative? A Problem-Oriented Perspective for Code Optimization.
CoRR, 2024

Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting.
CoRR, 2024

FAC<sup>2</sup>E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition.
CoRR, 2024

The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024).
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

FAC²E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation.
Trans. Recomm. Syst., December, 2023

Deep Graph Translation.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Adversarial attacks against Windows PE malware detection: A survey of the state-of-the-art.
Comput. Secur., May, 2023

Automatic product copywriting for e-commerce.
AI Mag., March, 2023

Intelligent online selling point extraction and generation for e-commerce recommendation.
AI Mag., March, 2023

Multilevel Graph Matching Networks for Deep Graph Similarity Learning.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

Modeling Health Stage Development of Patients With Dynamic Attributed Graphs in Online Health Communities.
IEEE Trans. Knowl. Data Eng., 2023

Graph Neural Networks for Natural Language Processing: A Survey.
Found. Trends Mach. Learn., 2023

RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models.
CoRR, 2023

Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation.
CoRR, 2023

Pruning Before Training May Improve Generalization, Provably.
CoRR, 2023

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.
Proceedings of the ACM Web Conference 2023, 2023


The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom).
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Meta Policy Learning for Cold-Start Conversational Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Deep Learning on Graphs: Methods and Applications (DLG-KDD2023).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Neural Networks: Foundation, Frontiers and Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

SkillQG: Learning to Generate Question for Reading Comprehension Assessment.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks.
ACM Trans. Comput. Hum. Interact., 2022

Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing.
ACM Trans. Knowl. Discov. Data, 2022

Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures.
Knowl. Based Syst., 2022

HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps.
CoRR, 2022

TeKo: Text-Rich Graph Neural Networks with External Knowledge.
CoRR, 2022

Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce.
CoRR, 2022

Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning.
CoRR, 2022

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning.
CoRR, 2022

Embedding Knowledge for Document Summarization: A Survey.
CoRR, 2022

Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Compact Graph Structure Learning via Mutual Information Compression.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022


Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Deep Learning on Graphs: Methods and Applications (DLG-KDD2022).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Automatic Generation of Product-Image Sequence in E-commerce.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Automatic Controllable Product Copywriting for E-Commerce.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection.
Proceedings of the IEEE INFOCOM 2022, 2022

Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing.
Proceedings of the International Conference on Machine Learning, 2022

Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile.
Proceedings of the International Conference on Machine Learning, 2022

QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Automatic Scene-based Topic Channel Construction System for E-Commerce.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Applied Machine Learning Methods for Time Series Forecasting.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Feeding What You Need by Understanding What You Learned.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Automatic Product Copywriting for E-commerce.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Intelligent Online Selling Point Extraction for E-commerce Recommendation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph.
IEEE Trans. Knowl. Data Eng., 2021

Deep Graph Matching and Searching for Semantic Code Retrieval.
ACM Trans. Knowl. Discov. Data, 2021

Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art.
CoRR, 2021

Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation.
CoRR, 2021

Intelligent Online Selling Point Extraction for E-Commerce Recommendation.
CoRR, 2021

RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders.
CoRR, 2021

Multi-behavior Graph Contextual Aware Network for Session-based Recommendation.
CoRR, 2021

Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks.
CoRR, 2021

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation.
CoRR, 2021

Constructing Contrastive samples via Summarization for Text Classification with limited annotations.
CoRR, 2021

HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks.
CoRR, 2021

Themisto: Towards Automated Documentation Generation in Computational Notebooks.
CoRR, 2021

Action Word Prediction for Neural Source Code Summarization.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

A Neural Question Answering System for Basic Questions about Subroutines.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Generate Visual Questions with Noisy Supervision.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Technical Question Answering across Tasks and Domains.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Linking the Characters: Video-oriented Social Graph Generation via Hierarchical-cumulative GCN.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2nd International Workshop on Industrial Recommendation Systems (IRS).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Deep Learning on Graphs for Natural Language Processing.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Adversarial Attack via Rewiring.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph-Augmented Code Summarization in Computational Notebooks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks.
Proceedings of the 38th International Conference on Machine Learning, 2021

Adversarial Attack against Cross-lingual Knowledge Graph Alignment.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Constructing contrastive samples via summarization for text classification with limited annotations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Sequential Search with Off-Policy Reinforcement Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Relation-aware Graph Attention Model with Adaptive Self-adversarial Training.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Towards Byzantine-Resilient Federated Learning via Group-Wise Robust Aggregation.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing.
CoRR, 2020

Stronger Transformers for Neural Multi-Hop Question Generation.
CoRR, 2020

Hierarchical Graph Matching Networks for Deep Graph Similarity Learning.
CoRR, 2020

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improved Automatic Summarization of Subroutines via Attention to File Context.
Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

Deep Graph Learning: Foundations, Advances and Applications.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Interpretable Deep Graph Generation with Node-edge Co-disentanglement.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Improved Code Summarization via a Graph Neural Network.
Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

RDF-to-Text Generation with Graph-augmented Structural Neural Encoders.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation.
Proceedings of the 8th International Conference on Learning Representations, 2020

A Technical Question Answering System with Transfer Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Crossing Variational Autoencoders for Answer Retrieval.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Joint Neural Model for Information Extraction with Global Features.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Multi-Perspective Architecture for Semantic Code Search.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
TRPL+K: Thick-Restart Preconditioned Lanczos+K Method for Large Symmetric Eigenvalue Problems.
SIAM J. Sci. Comput., 2019

Deep Iterative and Adaptive Learning for Graph Neural Networks.
CoRR, 2019

Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling.
CoRR, 2019

Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model.
CoRR, 2019

MUTLA: A Large-Scale Dataset for Multimodal Teaching and Learning Analytics.
CoRR, 2019

Attacking Graph Convolutional Networks via Rewiring.
CoRR, 2019

High-Fidelity Vector Space Models of Structured Data.
CoRR, 2019

Graph Enhanced Cross-Domain Text-to-SQL Generation.
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

KerGM: Kernelized Graph Matching.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification.
Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Efficient Global String Kernel with Random Features: Beyond Counting Substructures.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Similarity Preserving Representation Learning for Time Series Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications.
Proceedings of the 36th International Conference on Machine Learning, 2019

Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

DQ Scheduler: Deep Reinforcement Learning Based Controller Synchronization in Distributed SDN.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Multi-stage Deep Classifier Cascades for Open World Recognition.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Discrete Attacks and Submodular Optimization with Applications to Text Classification.
CoRR, 2018

SQL-to-Text Generation with Graph-to-Sequence Model.
CoRR, 2018

Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks.
CoRR, 2018

D2KE: From Distance to Kernel and Embedding.
CoRR, 2018

Scalable Spectral Clustering Using Random Binning Features.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

SQL-to-Text Generation with Graph-to-Sequence Model.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Word Mover's Embedding: From Word2Vec to Document Embedding.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Quantized Densely Connected U-Nets for Efficient Landmark Localization.
Proceedings of the Computer Vision - ECCV 2018, 2018

Random Warping Series: A Random Features Method for Time-Series Embedding.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic Search.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
PRIMME_SVDS: A High-Performance Preconditioned SVD Solver for Accurate Large-Scale Computations.
SIAM J. Sci. Comput., 2017

Similarity Preserving Representation Learning for Time Series Analysis.
CoRR, 2017

Revisiting Spectral Graph Clustering with Generative Community Models.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma.
IEEE Trans. Big Data, 2016

Estimating the trace of the matrix inverse by interpolating from the diagonal of an approximate inverse.
J. Comput. Phys., 2016

Revisiting Random Binning Features: Fast Convergence and Strong Parallelizability.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Efficient one-vs-one kernel ridge regression for speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
A Preconditioned Hybrid SVD Method for Accurately Computing Singular Triplets of Large Matrices.
SIAM J. Sci. Comput., 2015

Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data.
CoRR, 2015

2014
PRIMME_SVDS: A Preconditioned SVD Solver for Computing Accurately Singular Triplets of Large Matrices based on the PRIMME Eigensolver.
CoRR, 2014

2009
A practical evaluation of radio signal strength for mobile robot localization.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

2008
The study and improvement of memory management based on SOS.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2008


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