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Baoxu Shi
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2020 – today
- 2024
- [j5]Zicun Cong, Baoxu Shi, Shan Li, Jaewon Yang, Qi He, Jian Pei:
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently. IEEE Trans. Knowl. Data Eng. 36(4): 1537-1551 (2024) - [c17]Yan Han, Kaiqi Chen, Shan Li, Ji Yan, Baoxu Shi, Lei Zhang, Fei Chen, Jaewon Yang, Yunpeng Xu, Xiaoqiang Luo, Qi He, Ying Ding, Zhangyang Wang:
Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting. WWW (Companion Volume) 2024: 903-906 - [i12]Zicun Cong, Baoxu Shi, Shan Li, Jaewon Yang, Qi He, Jian Pei:
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently. CoRR abs/2401.14702 (2024) - 2022
- [c16]Jaewon Yang, Baoxu Shi, Alex Samylkin:
Graph Neural Networks for the Global Economy with Microsoft DeepGraph. WSDM 2022: 1655 - 2021
- [c15]Minji Yoon, Théophile Gervet, Baoxu Shi, Sufeng Niu, Qi He, Jaewon Yang:
Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks. KDD 2021: 2046-2056 - 2020
- [c14]Baoxu Shi, Jaewon Yang, Feng Guo, Qi He:
Salience and Market-aware Skill Extraction for Job Targeting. KDD 2020: 2871-2879 - [c13]Baoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He:
Learning to Ask Screening Questions for Job Postings. SIGIR 2020: 549-558 - [c12]Shan Li, Baoxu Shi, Jaewon Yang, Ji Yan, Shuai Wang, Fei Chen, Qi He:
Deep Job Understanding at LinkedIn. SIGIR 2020: 2145-2148 - [c11]Qi He, Jaewon Yang, Baoxu Shi:
Constructing Knowledge Graph for Social Networks in A Deep and Holistic Way. WWW (Companion Volume) 2020: 307-308 - [i11]Baoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He:
Learning to Ask Screening Questions for Job Postings. CoRR abs/2004.14969 (2020) - [i10]Baoxu Shi, Jaewon Yang, Feng Guo, Qi He:
Salience and Market-aware Skill Extraction for Job Targeting. CoRR abs/2005.13094 (2020) - [i9]Shan Li, Baoxu Shi, Jaewon Yang, Ji Yan, Shuai Wang, Fei Chen, Qi He:
Deep Job Understanding at LinkedIn. CoRR abs/2006.12425 (2020)
2010 – 2019
- 2019
- [c10]Baoxu Shi, Jaewon Yang, Tim Weninger, How Jing, Qi He:
Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections. IEEE BigData 2019: 1928-1937 - [c9]Chao Huang, Baoxu Shi, Xuchao Zhang, Xian Wu, Nitesh V. Chawla:
Similarity-Aware Network Embedding with Self-Paced Learning. CIKM 2019: 2113-2116 - [c8]Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla:
Neural Tensor Factorization for Temporal Interaction Learning. WSDM 2019: 537-545 - [i8]Baoxu Shi, Jaewon Yang, Tim Weninger, How Jing, Qi He:
Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections. CoRR abs/1910.10763 (2019) - 2018
- [c7]Baoxu Shi, Tim Weninger:
Open-World Knowledge Graph Completion. AAAI 2018: 1957-1964 - [c6]Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Louis Faust, Nitesh V. Chawla:
RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data. CIKM 2018: 1073-1082 - [c5]Xian Wu, Yuxiao Dong, Baoxu Shi, Ananthram Swami, Nitesh V. Chawla:
Who will Attend This Event Together? Event Attendance Prediction via Deep LSTM Networks. SDM 2018: 180-188 - [c4]Baoxu Shi, Tim Weninger:
Visualizing the Flow of Discourse with a Concept Ontology. WWW (Companion Volume) 2018: 89-90 - [i7]Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla:
Neural Tensor Factorization. CoRR abs/1802.04416 (2018) - [i6]Baoxu Shi, Tim Weninger:
Visualizing the Flow of Discourse with a Concept Ontology. CoRR abs/1802.08614 (2018) - 2017
- [j4]Baoxu Shi, Lin Yang, Tim Weninger:
Forward backward similarity search in knowledge networks. Knowl. Based Syst. 119: 20-31 (2017) - [c3]Baoxu Shi, Tim Weninger:
ProjE: Embedding Projection for Knowledge Graph Completion. AAAI 2017: 1236-1242 - [i5]Baoxu Shi, Tim Weninger:
Open-World Knowledge Graph Completion. CoRR abs/1711.03438 (2017) - 2016
- [j3]Baoxu Shi, Tim Weninger:
Scalable models for computing hierarchies in information networks. Knowl. Inf. Syst. 49(2): 687-717 (2016) - [j2]Baoxu Shi, Tim Weninger:
Discriminative predicate path mining for fact checking in knowledge graphs. Knowl. Based Syst. 104: 123-133 (2016) - [c2]Baoxu Shi, Tim Weninger:
Fact Checking in Heterogeneous Information Networks. WWW (Companion Volume) 2016: 101-102 - [i4]Baoxu Shi, Tim Weninger:
Scalable Models for Computing Hierarchies in Information Networks. CoRR abs/1601.00626 (2016) - [i3]Baoxu Shi, Tim Weninger:
ProjE: Embedding Projection for Knowledge Graph Completion. CoRR abs/1611.05425 (2016) - [i2]Baoxu Shi, Lin Yang, Tim Weninger:
Forward Backward Similarity Search in Knowledge Networks. CoRR abs/1611.09316 (2016) - 2015
- [i1]Baoxu Shi, Tim Weninger:
Fact Checking in Large Knowledge Graphs - A Discriminative Predicate Path Mining Approach. CoRR abs/1510.05911 (2015) - 2014
- [c1]Baoxu Shi, Tim Weninger:
Mining Interesting Meta-Paths from Complex Heterogeneous Information Networks. ICDM Workshops 2014: 488-495 - 2013
- [j1]Chunxia Zhang, Baoxu Shi, Xudong Li:
MFS: A Lightweight Block-Level Local Mirror of Remote File System. J. Softw. 8(6): 1459-1470 (2013)
Coauthor Index
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last updated on 2024-07-31 21:37 CEST by the dblp team
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