Jiacheng Li

Orcid: 0000-0002-4833-2384

Affiliations:
  • University of California, San Diego, La Jolla, CA, USA


According to our database1, Jiacheng Li authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Inductive Generative Recommendation via Retrieval-based Speculation.
CoRR, 2024

Bridging Language and Items for Retrieval and Recommendation.
CoRR, 2024

2023
Improving Explainability in Personalized Systems by Extraction and Understanding
PhD thesis, 2023

Personalized Showcases: Generating Multi-Modal Explanations for Recommendations.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Text Is All You Need: Learning Language Representations for Sequential Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PrimeNet: Pre-training for Irregular Multivariate Time Series.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CLIP also Understands Text: Prompting CLIP for Phrase Understanding.
CoRR, 2022

UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation.
CoRR, 2022

Representing Knowledge by Spans: A Knowledge-Enhanced Model for Information Extraction.
CoRR, 2022

Coarse-to-Fine Sparse Sequential Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Fine-grained Contrastive Learning for Relation Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SPOT: Knowledge-Enhanced Language Representations for Information Extraction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Weakly Supervised Named Entity Tagging with Learnable Logical Rules.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Time Interval Aware Self-Attention for Sequential Recommendation.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

SeNsER: Learning Cross-Building Sensor Metadata Tagger.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


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