Chen Li

Affiliations:
  • Beihang University, Beijing Advanced Innovation Center for Big Data and Brain Computing, State Key Laboratory of Software Development Environment, Beijing, China


According to our database1, Chen Li authored at least 20 papers between 2017 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Privacy-preserving graph publishing with disentangled variational information bottleneck.
Concurr. Comput. Pract. Exp., 2024

2023
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR, 2023

Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph.
IEEE Trans. Neural Networks Learn. Syst., 2022

Cross-knowledge-graph entity alignment via relation prediction.
Knowl. Based Syst., 2022

Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework That Works.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Learning graph attention-aware knowledge graph embedding.
Neurocomputing, 2021

Multi-level Connection Enhanced Representation Learning for Script Event Prediction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Two-tier Graph Contextual Embedding for Cross-device User Matching.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Modeling relation paths for knowledge base completion via joint adversarial training.
Knowl. Based Syst., 2020

Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework.
CoRR, 2020

2019
Bibliographic Name Disambiguation with Graph Convolutional Network.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

2018
FluteDB: An efficient and scalable in-memory time series database for sensor-cloud.
J. Parallel Distributed Comput., 2018

Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training.
CoRR, 2018

A Lightweight Music Texture Transfer System.
CoRR, 2018

Mining Semantic Variation in Time Series for Rumor Detection Via Recurrent Neural Networks.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Training and Evaluating Improved Dependency-Based Word Embeddings.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
FluteDB: An Efficient and Dependable Time-Series Database Storage Engine.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017


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