Haotian Wang
Orcid: 0000-0003-2928-5575Affiliations:
- National University of Defense Technology, Changsha, China
According to our database1,
Haotian Wang
authored at least 24 papers
between 2018 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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on dl.acm.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Knowl. Data Eng., April, 2024
PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators.
CoRR, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., June, 2023
An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation.
CoRR, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Conference on Causal Learning and Reasoning, 2023
2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2020
An effective few-shot learning approach via location-dependent partial differential equation.
Knowl. Inf. Syst., 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Cauchy sparse NMF with manifold regularization: A robust method for hyperspectral unmixing.
Knowl. Based Syst., 2019
Rademacher dropout: An adaptive dropout for deep neural network via optimizing generalization gap.
Neurocomputing, 2019
TMDA: Task-Specific Multi-source Domain Adaptation via Clustering Embedded Adversarial Training.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2018
Multi-feature Fusion for Deep Reinforcement Learning: Sequential Control of Mobile Robots.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018