Lingfei Wu
Orcid: 0009-0008-8081-6275Affiliations:
- 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 163 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Multi-Interest Multi-Round Conversational Recommendation System with Fuzzy Feedback Based User Simulator.
Trans. Recomm. Syst., December, 2024
IEEE Trans. Big Data, December, 2024
Ask Questions With Double Hints: Visual Question Generation With Answer-Awareness and Region-Reference.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
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
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
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
Adversarial attacks against Windows PE malware detection: A survey of the state-of-the-art.
Comput. Secur., May, 2023
Intelligent online selling point extraction and generation for e-commerce recommendation.
AI Mag., March, 2023
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
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
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Companion 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
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
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
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
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
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
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
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
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the Companion of The 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
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the IEEE INFOCOM 2022, 2022
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
Proceedings of the International Conference on Machine Learning, 2022
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
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Knowl. Data Eng., 2021
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
CoRR, 2021
RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders.
CoRR, 2021
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
CoRR, 2021
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
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
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
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
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
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
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
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
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
Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
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
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
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020
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
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
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
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
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
CoRR, 2019
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
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
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
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
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
CoRR, 2018
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
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
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
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
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
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
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009
2008
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2008