Jiongnan Liu
Orcid: 0000-0002-3946-9178Affiliations:
- Renmin University of China (RUC), Gaoling School of Artificial Intelligence, Beijing, China
- Carnegie Mellon University (CMU), School of Computer Science, Pittsburgh, PA, USA
According to our database1,
Jiongnan Liu authored at least 19 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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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 github.com
On csauthors.net:
Bibliography
2026
CoRR, May, 2026
ACM Trans. Inf. Syst., January, 2026
Memory Matters More: Event-Centric Memory as a Logic Map for Agent Searching and Reasoning.
CoRR, January, 2026
2025
Enhancing Sequential Personalized Product Search with External Out-of-sequence Knowledge.
ACM Trans. Inf. Syst., July, 2025
CoRR, June, 2025
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
ACM Trans. Inf. Syst., May, 2024
IEEE Trans. Knowl. Data Eng., February, 2024
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation.
CoRR, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Contrastive Learning for User Sequence Representation in Personalized Product Search.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
2020
DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020