I’m a Ph.D. candidate advised by Prof. Julian McAuley and Prof. Jingbo Shang at UC San Diego.
My research interests include natural language processing and recommender systems.

News

• Google Local dataset (2021) is released! It contains about 666 million reviews and 5 million businesses from Google map.

Publications

Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting.
William Hogan, Jiacheng Li, Jingbo Shang
Empirical Methods in Natural Language Processing (EMNLP) 2023.

Text Is All You Need: Learning Language Representations for Sequential Recommendation. [pdf] [code]
Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian McAuley
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2023.

UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. [pdf]
Jiacheng Li, Zhankui He, Jingbo Shang, Julian McAuley
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2023.

Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. [pdf]
An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian McAuley
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2023.

PrimeNet: Pre-training for Irregular Multivariate Time Series.
Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang, Dezhi Hong, Rajesh Gupta, Jingbo Shang
AAAI Conference on Artificial Intelligence (AAAI) 2023.

Fine-grained Contrastive Learning for Relation Extraction. [pdf]
William Hogan, Jiacheng Li, Jingbo Shang
Empirical Methods in Natural Language Processing (EMNLP) 2022.

SPOT: Knowledge-Enhanced Language Representations for Information Extraction [pdf]
Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian McAuley, Chun-Nan Hsu
31st ACM International Conference on Information and Knowledge Management (CIKM) 2022.

Coarse-to-Fine Sparse Sequential Recommendation. [pdf] [code]
Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian McAuley
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2022.

UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. [pdf] [code]
Jiacheng Li, Jingbo Shang, Julian McAuley
Annual Meeting of the Association for Computational Linguistics (ACL) 2022.

Weakly Supervised Named Entity Tagging with Learnable Logical Rules. [pdf] [code]
Jiacheng Li, Haibo Ding, Jingbo Shang, Julian McAuley, Zhe Feng
Annual Meeting of the Association for Computational Linguistics (ACL) 2021.

SeNsER: Learning Cross-Building Sensor Metadata Tagger. [pdf] [code]
Yang Jiao*, Jiacheng Li*, Jiaman Wu, Dezhi Hong, Rajesh Gupta, Jingbo Shang
Empirical Methods in Natural Language Processing (EMNLP) 2020.

Time Interval Aware Self-Attention for Sequential Recommendation. [pdf] [code]
Jiacheng Li, Yujie Wang, Julian McAuley.
International Conference on Web Search and Data Mining (WSDM) 2020.

Justifying Recommendations using Distantly-Labeled Reviews and Fine-grained Aspect. [pdf] [code]
Jianmo Ni, Jiacheng Li, Julian McAuley.
Empirical Methods in Natural Language Processing (EMNLP) 2019.

Preprints

CLIP also Understands Text: Prompting CLIP for Phrase Understanding. [pdf]
An Yan, Jiacheng Li, Wanrong Zhu, Yujie Lu, William Yang Wang, Julian McAuley

Work Experience

Applied Scientist Intern, Amazon, Palo Alto, CA, US.
Mentor: Yifan Gao, A9 Team.
Sep 2023 - Dec 2023.

Research Scientist Intern, Meta, Sunnyvale, CA, US.
Mentor: Shuyang Li.
Project: Faithfulness and Factuality Evaluation using LLMs.
Jun 2023 - Sep 2023.

Applied Scientist Intern, Amazon, Seattle, WA, US.
Mentor: Xian Li and Chenwei Zhang, Product Graph Team.
Project: Neural-Symbolic Reasoning on Product Knowledge Graph.
Sep 2022 - Dec 2022.

Applied Scientist Intern, Amazon, Seattle, WA, US.
Mentor: Jin Li and Ming Wang, Product Semantics Team.
Project: Attribute-Enhanced Personalized Product Highlight Generation.
Jun 2022 - Sep 2022.

Graduate Student Reseacher, Center for Microbiome Innovation, La Jolla, CA, US.
Mentor: Chun-nan Hsu.
Project: Knowledge Base Construct for Microbiome.
Sep 2019 - June 2022.

Applied Scientist Intern, Amazon, Seattle, WA, US.
Mentor: Tong Zhao, Product Semantics Team.
Project: Shopping Intention Detection for Sequential Recommendation.
Jun 2021 - Sep 2021.

Machine Learning for Natural Language Processing Intern, Bosch, Sunnyvale, CA, US.
Mentor: Haibo Ding
Project: Weakly Supervised Named Entity Tagging with Learnable Logical Rules.
Jun 2020 - Sep 2020.