Chun Fan
Affiliations:- Peking University, Computer Center, National Biomedical Imaging Center, Peng Cheng Laboratory, Beijing, China
According to our database1,
Chun Fan
authored at least 21 papers
between 2020 and 2023.
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Bibliography
2023
Critique of "A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery" by SCC Team From Peking University.
IEEE Trans. Parallel Distributed Syst., June, 2023
2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
CoRR, 2021
A Unified Anomaly Detection Methodology for Lane-Following of Autonomous Driving Systems.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021
Towards Fast Network Intrusion Detection based on Efficiency-preserving Federated Learning.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining.
CoRR, 2020
Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries.
CoRR, 2020
Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability.
CoRR, 2020