Semantics of Data Streams and Operators. - David Maier 001; Jin Li 003; Peter A. Tucker; Kristin Tufte; Vassilis Papadimos (ICDT, 2005)

Semantics and Evaluation Techniques for Window Aggregates in Data Streams. - Jin Li 003; David Maier 001; Kristin Tufte; Vassilis Papadimos; Peter A. Tucker (SIGMOD Conference, 2005)

No pane, no gain: efficient evaluation of sliding-window aggregates over data streams. - Jin Li 003; David Maier 001; Kristin Tufte; Vassilis Papadimos; Peter A. Tucker (SIGMOD Rec., 2005)

Travel time estimation using NiagaraST and latte. - Kristin Tufte; Jin Li 003; David Maier 001; Vassilis Papadimos; Robert L. Bertini; James Rucker (SIGMOD Conference, 2007)

AdaptWID: An Adaptive, Memory-Efficient Window Aggregation Implementation. - Jin Li 003; Kristin Tufte; David Maier 001; Vassilis Papadimos (IEEE Internet Comput., 2008)

Out-of-order processing: a new architecture for high-performance stream systems. - Jin Li 003; Kristin Tufte; Vladislav Shkapenyuk; Vassilis Papadimos; Theodore Johnson; David Maier 001 (Proc. VLDB Endow., 2008)

Inter-Operator Feedback in Data Stream Management Systems via Punctuation. - Rafael Fernández-Moctezuma; Kristin Tufte; Jin Li 003 (CIDR, 2009)

P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. - Junheng Hao; Tong Zhao 002; Jin Li 003; Xin Luna Dong; Christos Faloutsos; Yizhou Sun; Wei Wang 010 (CIKM, 2020)

EX3: Explainable Attribute-aware Item-set Recommendations. - Yikun Xian; Tong Zhao 002; Jin Li 003; Jim Chan; Andrey Kan; Jun Ma 029; Xin Luna Dong; Christos Faloutsos; George Karypis; S. Muthukrishnan 001; Yongfeng Zhang (RecSys, 2021)

Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback. - Trong Nghia Hoang; Anoop Deoras; Tong Zhao 002; Jin Li 003; George Karypis (AISTATS, 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)

AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions. - Quoc-Tuan Truong; Tong Zhao 002; Changhe Yuan; Jin Li 003; Jim Chan; Soo-Min Pantel; Hady W. Lauw (WWW, 2022)

G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. - Yuchen Zhuang; Xin Shen; Yan Zhao; Chaosheng Dong; Ming Wang; Jin Li 003; Chao Zhang 014 (CIKM, 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)

Learning to Personalize Recommendation based on Customers' Shopping Intents. - Xin Shen; Jiaying Shi; Sungro Yoon; Jon Katzur; Hanbo Wang; Jim Chan; Jin Li 003 (CoRR, 2023)

Explainable and Coherent Complement Recommendation Based on Large Language Models. - Zelong Li; Yan Liang 004; Ming Wang; Sungro Yoon; Jiaying Shi; Xin Shen; Xiang He 007; Chenwei Zhang; Wenyi Wu; Hanbo Wang; Jin Li 003; Jim Chan; et al. (CIKM, 2024)

Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation. - Yankai Chen 001; Quoc-Tuan Truong; Xin Shen; Jin Li 003; Irwin King (KDD, 2024)