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Yongqi ZHANG (张永祺) Research
Scientist@4Paradigm Inc. Machine
Learning Research Team Email: zhangyongqi at 4paradigm.com |
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About Me |
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Yongqi is a research scientist
in Research
Group@4Paradigm, focusing on automated machine learning and knowledge
graph learning problems. He received his Ph.D. degree at the Department of
Science and Engineering of the Hong Kong University of Science and Technology
(HKUST) in 2020, advised by Prof.
Lei Chen. Before HKUST, he obtained a bachelor degree at Shanghai Jiao
Tong University (SJTU) in 2015. He did an internship in 4Paradigm since Oct.
2018 and jointed as a researcher in Mar. 2020. |
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Research Interest |
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-
Automated
Machine Learning -
Knowledge Graph
Learning - Graph Neural Network |
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Recent
Activities |
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- 2022.03.12 Datafun summit on Knowledge Graph (slides) - 2022.02.24 AAAI tutorial
on AutoGraph (link) |
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Publications |
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- Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022 Yongqi
Zhang, Quanming Yao, James Tin-Yau
Kwok. [paper][code] - KGTuner:
Efficient Hyper-parameter Search for Knowledge Graph Learning. ACL (long
paper) 2022 Yongqi
Zhang, Zhanke Zhou, Quanming
Yao. [paper][code] - Knowledge Graph Reasoning with Relational Directed Graph. WWW 2022 Yongqi
Zhang, Quanming Yao. [paper] [code] -
Efficient, Simple and Automated Negative Sampling
for Knowledge Graph Embedding. VLDB Journal 2021 Yongqi Zhang, Quanming Yao, Lei
Chen. [paper] [code] -
Interstellar: Searching Recurrent Architecture for
Knowledge Graph Embedding. NeurIPS (spotlight) 2020 Yongqi Zhang, Quanming Yao, Lei
Chen. [paper]
[code] -
Efficient Relation-aware Scoring Function Search for
Knowledge Graph Embedding. ICDE 2021 Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen. [paper] [code] -
AutoSF: Searching
Scoring Functions for Knowledge Graph Embedding. ICDE 2020 Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen.
[paper] [code] -
NSCaching: Simple and
Efficient Negative Sampling for Knowledge Graph Embedding. ICDE 2019 Yongqi
Zhang, Quanming Yao, Yingxia
Shao, Lei Chen. [paper] [code] -
Transfer Components Between Subjects for EEG-based
Driving Fatigue Detection. ICONIP 2015 Yongqi Zhang, Weilong Zheng, Baoliang Lv. [paper] |
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Honors |
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-
Geek Innovation Award
Finalist in 4Paradigm 2022 -
AutoSF+ is Top2 in ogbl-biokg
(Jan 2022). -
HKPFS Research Travel Grant: ICDE 2019 -
Student Travel Award: ICDE 2019 -
Hong Kong Postgraduate Fellowship: 2015-2019 -
Academic Excellence Scholarship from SJTU (top 5%)
in 2013 and 2014 -
Scholarship for Excellent Student Study Abroad from
SJTU in 2013 -
Frist Class Academic Excellent Scholarship from SJTU
(top 1%) in 2012 -
National Scholarship (top 1%) in 2012 |
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Other Activities |
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- PC Member of ICML, KDD, AAAI, IJCAI, CIKM, ACML - Journal Reviewers: TKDE, NEUNET - Tutorials: Auto-RecSys in KDD 2020, Auto-RecSys in IJCAI 2021, AutoGraph in ACML 2021, AutoGraph in AAAI 2022 - Workshops: IWKG in KDD 2020-2021, Tensor workshop in IJCAI 2021, DLG in KDD2021 - Teaching assistant of Data Mining (COMP 4331), Fall 2018 -
Teaching assistant of Machine
Learning (COMP 4211), Spring 2018 |
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