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Shijie Quan
Observed name:
Quan, Shijie
Institution:
Tencent (China)
Observed institutions:
University of Science and Technology of China,
Sun Yat-sen University,
Tencent (China),
University of Hong Kong
ORCID:
0009-0007-9154-4781
Observed ORCID:
0009-0007-9154-4781
OpenAlex ID:
A5085926184
BeSS: An R Package for Best Subset Selection in Linear, Logistic and Cox Proportional Hazards Models
2020
·
Canhong Wen
, Aijun Zhang
, et al.
·
Journal of Statistical Software
·
40
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation
2024
·
Liangcai Su
, Junwei Pan
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
35
PDF
Ads Recommendation in a Collapsed and Entangled World
2024
·
Junwei Pan
, Wei Xue
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
22
PDF
BeSS: Best Subset Selection in Linear, Logistic and CoxPH Models
2017
·
Canhong Wen
, Aijun Zhang
, et al.
·
6
PDF
BeSS: An R Package for Best Subset Selection in Linear, Logistic and CoxPH Models
2017
·
Wen, Canhong
, Zhang, Aijun
, et al.
·
arXiv (Cornell University)
·
5
PDF
NOVA: A Verification-Aware Agent Harness for Architecture Evolution in Industrial Recommender Systems
2026
·
Liu, Shaohua
, Fang, Liang
, et al.
·
arXiv (Cornell University)
PDF
RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems
2026
·
Chen, Jin
, Zhang, Shangyu
, et al.
·
arXiv (Cornell University)
PDF
Large Foundation Model for Ads Recommendation
2025
·
Zhang, Shangyu
, Quan, Shijie
, et al.
·
arXiv (Cornell University)
PDF
Best Subset Selection in Linear, Logistic and CoxPH Models [R package BeSS version 2.0.3]
2021
·
Canhong Wen
, Aijun Zhang
, et al.
Best Subset Ridge Regression in Linear, Logistic, Poisson and CoxPH Models [R package bestridge version 1.0.1]
2021
·
Canhong Wen
, Aijun Zhang
, et al.
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Works count:
11
Citation count:
108
H-index:
5
I10-index:
3
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