Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. - Jianmo Ni; Jiacheng Li 003; Julian J. McAuley (EMNLP/IJCNLP (1), 2019)

SeNsER: Learning Cross-Building Sensor Metadata Tagger. - Yang Jiao; Jiacheng Li 003; Jiaman Wu; Dezhi Hong; Rajesh Gupta 001; Jingbo Shang (EMNLP (Findings), 2020)

Time Interval Aware Self-Attention for Sequential Recommendation. - Jiacheng Li 003; Yujie Wang; Julian J. McAuley (WSDM, 2020)

Weakly Supervised Named Entity Tagging with Learnable Logical Rules. - Jiacheng Li 003; Haibo Ding; Jingbo Shang; Julian J. McAuley; Zhe Feng 003 (ACL/IJCNLP (1), 2021)

UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. - Jiacheng Li 003; Jingbo Shang; Julian J. McAuley (ACL (1), 2022)

SPOT: Knowledge-Enhanced Language Representations for Information Extraction. - Jiacheng Li 003; Yannis Katsis; Tyler Baldwin; Ho-Cheol Kim; Andrew Bartko; Julian J. McAuley; Chun-Nan Hsu (CIKM, 2022)

Fine-grained Contrastive Learning for Relation Extraction. - William Hogan; Jiacheng Li 003; Jingbo Shang (EMNLP, 2022)

Coarse-to-Fine Sparse Sequential Recommendation. - Jiacheng Li 003; Tong Zhao 002; Jin Li 003; Jim Chan; Christos Faloutsos; George Karypis; Soo-Min Pantel; Julian J. McAuley (SIGIR, 2022)

Representing Knowledge by Spans: A Knowledge-Enhanced Model for Information Extraction. - Jiacheng Li 003; Yannis Katsis; Tyler Baldwin; Ho-Cheol Kim; Andrew Bartko; Julian J. McAuley; Chun-Nan Hsu (CoRR, 2022)

UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation. - Jiacheng Li 003; Zhankui He; Jingbo Shang; Julian J. McAuley (CoRR, 2022)

CLIP also Understands Text: Prompting CLIP for Phrase Understanding. - An Yan 003; Jiacheng Li 003; Wanrong Zhu; Yujie Lu; William Yang Wang; Julian J. McAuley (CoRR, 2022)

PrimeNet: Pre-training for Irregular Multivariate Time Series. - Ranak Roy Chowdhury; Jiacheng Li 003; Xiyuan Zhang 001; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (AAAI, 2023)

Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting. - William Hogan; Jiacheng Li 003; Jingbo Shang (EMNLP, 2023)

UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. - Jiacheng Li 003; Zhankui He; Jingbo Shang; Julian J. McAuley (KDD, 2023)

Text Is All You Need: Learning Language Representations for Sequential Recommendation. - Jiacheng Li 003; Ming Wang; Jin Li 003; Jinmiao Fu; Xin Shen; Jingbo Shang; Julian J. McAuley (KDD, 2023)

Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. - An Yan 003; Zhankui He; Jiacheng Li 003; Tianyang Zhang; Julian John McAuley (SIGIR, 2023)

Improving Explainability in Personalized Systems by Extraction and Understanding - Jiacheng Li 003 (2023)

Bridging Language and Items for Retrieval and Recommendation. - Yupeng Hou; Jiacheng Li 003; Zhankui He; An Yan 003; Xiusi Chen; Julian J. McAuley (CoRR, 2024)

Inductive Generative Recommendation via Retrieval-based Speculation. - Yijie Ding; Yupeng Hou; Jiacheng Li 003; Julian J. McAuley (CoRR, 2024)

Generating Long Semantic IDs in Parallel for Recommendation. - Yupeng Hou; Jiacheng Li 003; Ashley Shin; Jinsung Jeon; Abhishek Santhanam; Wei Shao; Kaveh Hassani; Ning Yao; Julian J. McAuley (CoRR, 2025)