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Pei Lee
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2020 – today
- 2021
- [c8]Chengbo Li, Lin Zhu, Guangyuan Fu, Longzhi Du, Canhua Zhao, Tianlun Ma, Chang Ye, Pei Lee:
Learning to Bundle Proactively for On-Demand Meal Delivery. CIKM 2021: 3898-3905 - 2020
- [c7]Lin Zhu, Wei Yu, Kairong Zhou, Xing Wang, Wenxing Feng, Pengyu Wang, Ning Chen, Pei Lee:
Order Fulfillment Cycle Time Estimation for On-Demand Food Delivery. KDD 2020: 2571-2580
2010 – 2019
- 2016
- [c6]Pei Lee, Laks V. S. Lakshmanan:
Query-Driven Maximum Quasi-Clique Search. SDM 2016: 522-530 - 2014
- [c5]Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios
:
CAST: A Context-Aware Story-Teller for Streaming Social Content. CIKM 2014: 789-798 - [c4]Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios
Incremental cluster evolution tracking from highly dynamic network data. ICDE 2014: 3-14 - [c3]Pei Lee, Laks V. S. Lakshmanan, Mitul Tiwari, Sam Shah:
Modeling impression discounting in large-scale recommender systems. KDD 2014: 1837-1846 - 2013
- [c2]Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios:
KeySee: supporting keyword search on evolving events in social streams. KDD 2013: 1478-1481 - [i1]Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios:
Event Evolution Tracking from Streaming Social Posts. CoRR abs/1311.5978 (2013) - 2012
- [c1]Pei Lee, Laks V. S. Lakshmanan, Jeffrey Xu Yu:
On Top-k Structural Similarity Search. ICDE 2012: 774-785
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