Chen Li
Orcid: 0000-0002-7508-7222Affiliations:
- 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 48 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Self-supervised Bipartite Graph Representation Learning: A Dirichlet Max-margin Matrix Factorization Approach.
ACM Trans. Intell. Syst. Technol., June, 2024
Trans. Mach. Learn. Res., 2024
PFME: A Modular Approach for Fine-grained Hallucination Detection and Editing of Large Language Models.
CoRR, 2024
CoRR, 2024
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.
CoRR, 2024
Privacy-preserving graph publishing with disentangled variational information bottleneck.
Concurr. Comput. Pract. Exp., 2024
Proceedings of the Knowledge Science, Engineering and Management, 2024
Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification.
Proceedings of the Knowledge Science, Engineering and Management, 2024
Proceedings of the Knowledge Science, Engineering and Management, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
TELLMe: Teaching and Exploiting Large Language Models for Model Selection in Text Retrieval.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
CoRR, 2023
CoRR, 2023
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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
IEEE Trans. Neural Networks Learn. Syst., 2022
Trans. Mach. Learn. Res., 2022
Knowl. Based Syst., 2022
Graph and Question Interaction Aware Graph2Seq Model for Knowledge Base Question Generation.
Proceedings of the International Joint Conference on Neural Networks, 2022
Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework That Works.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
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
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 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 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
Revisiting the linearity in cross-lingual embedding mappings: from a perspective of word analogies.
CoRR, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019
2018
J. Parallel Distributed Comput., 2018
Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training.
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
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017