Jin Li

22 papers A* 4A 7Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2024 A conf
Explainable and Coherent Complement Recommendation Based on Large Language Models.
CIKM
Zelong Li, Yan Liang, Ming Wang, Sungro Yoon, Jiaying Shi, Xin Shen, Xiang He, Chenwei Zhang, Wenyi Wu, Hanbo Wang, Jin Li, Jim Chan, Yongfeng Zhang
2024 A* conf
Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation.
KDD
Yankai Chen, Quoc-Tuan Truong, Xin Shen, Jin Li, Irwin King
2023 A conf
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer.
CIKM
Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang
2023 J jnl
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer.
CoRR
Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang
2023 J jnl
Learning to Personalize Recommendation based on Customers' Shopping Intents.
CoRR
Xin Shen, Jiaying Shi, Sungro Yoon, Jon Katzur, Hanbo Wang, Jim Chan, Jin Li
2023 A* conf
Text Is All You Need: Learning Language Representations for Sequential Recommendation.
KDD
Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley
2023 J jnl
Text Is All You Need: Learning Language Representations for Sequential Recommendation.
CoRR
Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley
2022 A* conf
AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions.
WWW
Quoc-Tuan Truong, Tong Zhao, Changhe Yuan, Jin Li, Jim Chan, Soo-Min Pantel, Hady W. Lauw
2022 A* conf
Coarse-to-Fine Sparse Sequential Recommendation.
SIGIR
Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley
2022 J jnl
Coarse-to-Fine Sparse Sequential Recommendation.
CoRR
Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley
2022 A conf
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback.
AISTATS
Trong Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis
2022 J jnl
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback.
CoRR
Trong Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis
2021 A conf
EX3: Explainable Attribute-aware Item-set Recommendations.
RecSys
Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma, Xin Luna Dong, Christos Faloutsos, George Karypis, S. Muthukrishnan, Yongfeng Zhang
2020 A conf
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation.
CIKM
Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun, Wei Wang
2009 J jnl
Inter-Operator Feedback in Data Stream Management Systems via Punctuation
CoRR
Rafael Fernández-Moctezuma, Kristin Tufte, Jin Li
2009 A conf
Inter-Operator Feedback in Data Stream Management Systems via Punctuation.
CIDR
Rafael Fernández-Moctezuma, Kristin Tufte, Jin Li
2008 J jnl
AdaptWID: An Adaptive, Memory-Efficient Window Aggregation Implementation.
IEEE Internet Comput.
Jin Li, Kristin Tufte, David Maier, Vassilis Papadimos
2008 J jnl
Out-of-order processing: a new architecture for high-performance stream systems.
Proc. VLDB Endow.
Jin Li, Kristin Tufte, Vladislav Shkapenyuk, Vassilis Papadimos, Theodore Johnson, David Maier
2007 — conf
Travel time estimation using NiagaraST and latte.
SIGMOD Conference
Kristin Tufte, Jin Li, David Maier, Vassilis Papadimos, Robert L. Bertini, James Rucker
2005 J jnl
No pane, no gain: efficient evaluation of sliding-window aggregates over data streams.
SIGMOD Rec.
Jin Li, David Maier, Kristin Tufte, Vassilis Papadimos, Peter A. Tucker
2005 — conf
Semantics and Evaluation Techniques for Window Aggregates in Data Streams.
SIGMOD Conference
Jin Li, David Maier, Kristin Tufte, Vassilis Papadimos, Peter A. Tucker
2005 A conf
Semantics of Data Streams and Operators.
ICDT
David Maier, Jin Li, Peter A. Tucker, Kristin Tufte, Vassilis Papadimos