Baoxu Shi

According to our database, Baoxu Shi authored at least 24 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently.

Zicun Cong, Baoxu Shi, Shan Li, Jaewon Yang, Qi He, Jian Pei

IEEE Trans. Knowl. Data Eng., April, 2024

Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting.

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2022

Graph Neural Networks for the Global Economy with Microsoft DeepGraph.

Jaewon Yang, Baoxu Shi, Alex Samylkin

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks.

Minji Yoon, Théophile Gervet, Baoxu Shi, Sufeng Niu, Qi He, Jaewon Yang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Constructing Knowledge Graph for Social Networks in A Deep and Holistic Way.

Qi He, Jaewon Yang, Baoxu Shi

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Learning to Ask Screening Questions for Job Postings.

Baoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Deep Job Understanding at LinkedIn.

Shan Li, Baoxu Shi, Jaewon Yang, Ji Yan, Shuai Wang, Fei Chen, Qi He

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Salience and Market-aware Skill Extraction for Job Targeting.

Baoxu Shi, Jaewon Yang, Feng Guo, Qi He

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Neural Tensor Factorization for Temporal Interaction Learning.

Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Similarity-Aware Network Embedding with Self-Paced Learning.

Chao Huang, Baoxu Shi, Xuchao Zhang, Xian Wu, Nitesh V. Chawla

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections.

Baoxu Shi, Jaewon Yang, Tim Weninger, How Jing, Qi He

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Neural Tensor Factorization.

Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla

CoRR, 2018

Visualizing the Flow of Discourse with a Concept Ontology.

Baoxu Shi, Tim Weninger

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Who will Attend This Event Together? Event Attendance Prediction via Deep LSTM Networks.

Xian Wu, Yuxiao Dong, Baoxu Shi, Ananthram Swami, Nitesh V. Chawla

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data.

Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Louis Faust, Nitesh V. Chawla

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Open-World Knowledge Graph Completion.

Baoxu Shi, Tim Weninger

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Forward backward similarity search in knowledge networks.

Baoxu Shi, Lin Yang, Tim Weninger

Knowl. Based Syst., 2017

ProjE: Embedding Projection for Knowledge Graph Completion.

Baoxu Shi, Tim Weninger

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Discriminative predicate path mining for fact checking in knowledge graphs.

Baoxu Shi, Tim Weninger

Knowl. Based Syst., 2016

Scalable models for computing hierarchies in information networks.

Baoxu Shi, Tim Weninger

Knowl. Inf. Syst., 2016

Fact Checking in Heterogeneous Information Networks.

Baoxu Shi, Tim Weninger

Proceedings of the 25th International Conference on World Wide Web, 2016

2015

Fact Checking in Large Knowledge Graphs - A Discriminative Predicate Path Mining Approach.

Baoxu Shi, Tim Weninger

CoRR, 2015

2014

Mining Interesting Meta-Paths from Complex Heterogeneous Information Networks.

Baoxu Shi, Tim Weninger

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013

MFS: A Lightweight Block-Level Local Mirror of Remote File System.

Chunxia Zhang, Baoxu Shi, Xudong Li

J. Softw., 2013