| HUANG, Xiao |
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Assistant Professor Department of Computing PQ837, Mong Man Wai Building, Hung Hom, Hong Kong SAR Email: xiaohuang@comp.polyu.edu.hk Research Interests: Graph Neural Networks, Knowledge Graphs, |
News and Highlights
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[2021/08] I have been invited as the PC of AAAI 2022
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[2021/06] I have been invited as the PC of ICLR 2022
Selected Publications
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Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li, Contrastive Attributed Network Anomaly Detection with Data Augmentation, PAKDD, 2022
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Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung, Unseen Anomaly Detection on Networks via Multi-Hpersphere Learning, SDM, 2022
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Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu, Dirichlet Energy Constrained Learning for Deep Graph Neural Networks, NeurIPS, 2021
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Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li, REFORM: Error-Aware Few-Shot Knowledge Graph Completion, CIKM, 2021
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Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung, Subtractive Aggregation for Attributed Network Anomaly Detection, CIKM, 2021
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Ji Gao, Xiao Huang, Jundong Li, Unsupervised Graph Alignment with Wasserstein Distance Discriminator, KDD, 2021
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Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang, Temporal Augmented Graph Neural Networks for Session-Based Recommendations, SIGIR, 2021 (Slides, Video)
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Liqiao Xia, Pai Zheng, Xiao Huang, Chao Liu, A Novel Hypergraph Convolution Network-Based Approach for Predicting the Material Removal Rate in Chemical Mechanical Planarization, Journal of Intelligent Manufacturing, 2021
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Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu, Dynamic Memory based Attention Network for Sequential Recommendation, AAAI, 2021
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Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu, Towards Deeper Graph Neural Networks with Differentiable Group Normalization, NeurIPS, 2020
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Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu, Multi-Channel Graph Neural Networks, IJCAI, 2020
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Yan Zhong, Xiao Huang, Jundong Li, Xia Hu, Scalable Social Tie Strength Measuring, ASONAM, 2020
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Xiao Huang, Qingquan Song, Yuening Li, Xia Hu, Graph Recurrent Networks With Attributed Random Walks, KDD, 2019 (Slides, Code)
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Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li, Knowledge Graph Embedding Based Question Answering, WSDM, 2019 (Slides, Code)
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Xiao Huang, Qingquan Song, Fan Yang, Xia Hu, Large-Scale Heterogeneous Feature Embedding, AAAI, 2019 (Slides, Code)
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Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou, SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks, CIKM, 2019
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Xiao Huang, Jundong Li, Na Zou, Xia Hu, A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks, TKDD, 2018 (Slides, Code)
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Xiao Huang, Qingquan Song, Jundong Li, Xia Hu, Exploring Expert Cognition for Attributed Network Embedding, WSDM, pages 270–278, 2018 (Slides, Code)
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Ninghao Liu, Xiao Huang, Jundong Li, Xia Hu, On Interpretation of Network Embedding via Taxonomy Induction, KDD, 2018
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Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu, Multi-Label Adversarial Perturbations, ICDM, 2018
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Zepeng Huo, Xiao Huang, Xia Hu, Link Prediction with Personalized Social Influence, AAAI, 2018
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Xiao Huang, Jundong Li, Xia Hu, Label Informed Attributed Network Embedding, WSDM, 2017 (Slides, Code)
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Xiao Huang, Jundong Li, Xia Hu, Accelerated Attributed Network Embedding, SDM, 2017 (Full, Slides, Code)
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Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, Xia Hu, Multi-Aspect Streaming Tensor Completion, KDD, pages 435–443, 2017
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Ninghao Liu, Xiao Huang, Xia Hu, Accelerated Local Anomaly Detection via Resolving Attributed Networks, IJCAI, pages 2337–2343, 2017
Awards and Patents
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United States Patent, KNOWLEDGE-GRAPH-EMBEDDING-BASED QUESTION ANSWERING,
US 2020/0242444 A1 -
2019 INFORMS QSR Best Student Paper Finalist, Seattle, USA
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2019 INFORMS QSR Best Refereed Paper Finalist, Seattle, USA
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SDM 2017 Doctoral Forum Best Poster Runner-Up Award, Houston, USA
Service
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Senior PC member: IJCAI 2021
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PC member: KDD 2019-2022, WWW 2022, ICML 2021-2022, ICLR 2022, AAAI 2021-2022, WSDM 2021-2022, SDM 2022, NeurIPS 2021, CIKM 2019-2021, ICKG 2020-2021, IJCAI 2020
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Guest editor: Algorithms - MDPI
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Reviewer: ACM Computing Surveys (2020), IEEE Transactions on Cybernetics (2020), IEEE TKDE (2018-2021), Knowledge-Based Systems - Elsevier (2020-2021), ACM TKDD (2018-2021), ACM TIST (2020-2021), WWWJ - Springer (2019-2020), IPM - Elsevier (2020), IEEE TII (2019), JHIR - Springer (2017-2020), DMKD - Springer (2018-2020), SCN - Hindawi (2020), IEEE TCSS (2018-2021), IEEE Access (2019)
Background
I received Ph.D. from Texas A&M University in 2020, under the supervision of Dr. Xia Hu. I received M.S. from Illinois Institute of Technology in 2015, and B.S. from Shanghai Jiao Tong University in 2012. Before my current position, I worked as a research intern at Microsoft Research and Baidu USA.
