MFS: A Lightweight Block-Level Local Mirror of Remote File System. - Chunxia Zhang; Baoxu Shi; Xudong Li (J. Softw., 2013)

Mining Interesting Meta-Paths from Complex Heterogeneous Information Networks. - Baoxu Shi; Tim Weninger (ICDM Workshops, 2014)

Fact Checking in Large Knowledge Graphs - A Discriminative Predicate Path Mining Approach. - Baoxu Shi; Tim Weninger (CoRR, 2015)

Fact Checking in Heterogeneous Information Networks. - Baoxu Shi; Tim Weninger (WWW (Companion Volume), 2016)

Scalable models for computing hierarchies in information networks. - Baoxu Shi; Tim Weninger (Knowl. Inf. Syst., 2016)

Discriminative predicate path mining for fact checking in knowledge graphs. - Baoxu Shi; Tim Weninger (Knowl. Based Syst., 2016)

ProjE: Embedding Projection for Knowledge Graph Completion. - Baoxu Shi; Tim Weninger (AAAI, 2017)

Forward backward similarity search in knowledge networks. - Baoxu Shi; Lin Yang 003; Tim Weninger (Knowl. Based Syst., 2017)

Open-World Knowledge Graph Completion. - Baoxu Shi; Tim Weninger (AAAI, 2018)

RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data. - Xian Wu 003; Baoxu Shi; Yuxiao Dong; Chao Huang 001; Louis Faust; Nitesh V. Chawla (CIKM, 2018)

Who will Attend This Event Together? Event Attendance Prediction via Deep LSTM Networks. - Xian Wu 003; Yuxiao Dong; Baoxu Shi; Ananthram Swami; Nitesh V. Chawla (SDM, 2018)

Visualizing the Flow of Discourse with a Concept Ontology. - Baoxu Shi; Tim Weninger (WWW (Companion Volume), 2018)

Neural Tensor Factorization. - Xian Wu 003; Baoxu Shi; Yuxiao Dong; Chao Huang 001; Nitesh V. Chawla (CoRR, 2018)

Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections. - Baoxu Shi; Jaewon Yang; Tim Weninger; How Jing; Qi He 002 (IEEE BigData, 2019)

Similarity-Aware Network Embedding with Self-Paced Learning. - Chao Huang 001; Baoxu Shi; Xuchao Zhang; Xian Wu 003; Nitesh V. Chawla (CIKM, 2019)

Neural Tensor Factorization for Temporal Interaction Learning. - Xian Wu 003; Baoxu Shi; Yuxiao Dong; Chao Huang 001; Nitesh V. Chawla (WSDM, 2019)

Salience and Market-aware Skill Extraction for Job Targeting. - Baoxu Shi; Jaewon Yang; Feng Guo; Qi He 002 (KDD, 2020)

Deep Job Understanding at LinkedIn. - Shan Li 006; Baoxu Shi; Jaewon Yang; Ji Yan; Shuai Wang; Fei Chen; Qi He 002 (SIGIR, 2020)

Learning to Ask Screening Questions for Job Postings. - Baoxu Shi; Shan Li 006; Jaewon Yang; Mustafa Emre Kazdagli; Qi He 002 (SIGIR, 2020)

Constructing Knowledge Graph for Social Networks in A Deep and Holistic Way. - Qi He 002; Jaewon Yang; Baoxu Shi (WWW (Companion Volume), 2020)

Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks. - Minji Yoon; Théophile Gervet; Baoxu Shi; Sufeng Niu; Qi He 002; Jaewon Yang (KDD, 2021)

Graph Neural Networks for the Global Economy with Microsoft DeepGraph. - Jaewon Yang; Baoxu Shi; Alex Samylkin (WSDM, 2022)

Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting. - Yan Han 001; Kaiqi Chen; Shan Li 006; Ji Yan; Baoxu Shi; Lei Zhang 174; Fei Chen; Jaewon Yang; Yunpeng Xu; Xiaoqiang Luo; Qi He 002; Ying Ding 001; et al. (WWW (Companion Volume), 2024)

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently. - Zicun Cong; Baoxu Shi; Shan Li 006; Jaewon Yang; Qi He 002; Jian Pei 001 (IEEE Trans. Knowl. Data Eng., 2024)