I am currently a researcher at Microsoft. I obtained my Ph.D from University of California, Los Angeles, advised by Yizhou Sun and Wei Wang at Scalable Analytics Institute (ScAi), Department of Computer Science and UCLA Data Mining Lab.
Before coming to UCLA, I graduated in 2017 from Department of Automation, School of Information Science and Technology, Tsinghua University.
Ph.D. in Computer Science, 2022
University of California, Los Angeles
B.Eng. in Automation, 2017
Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee, Zhichun Li and Wei Wang. “Multi-source Inductive Knowledge Graph Transfer”. To appear in Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), 2022.
Yu Zhang, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi Wang, Kuansan Wang, and Jiawei Han. “Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification”. In the Web Conference 2022.
Junheng Hao, Chuan Lei, Vasilis Efthymiou, Abdul Quamar, Fatma Ozcan, Yizhou Sun, and Wei Wang. “MEDTO: Medical Data to Ontology Matching using Hybrid Graph Neural Networks”. In the 27th International ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021. [Project Page]
Jyun-Yu Jiang, Chelsea J.-T. Ju, Junheng Hao, Muhao Chen and Wei Wang. “JEDI: Circular RNA Prediction based on Junction Encoders and Deep Interaction among Splice Sites” In Proceedings of The 29th annual international conference on Intelligent Systems for Molecular Biology and The 20th annual European Conference on Computational Biology (ISMB/ECCB 2021). Bioinformatics, OUP, 2021. [Code]
Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun and Wei Wang. “P-Companion: A Principled Framework for Diversified Complementary Product Recommendation”. In the 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), Applied Research Track. [Project Page] [Blog]
Junheng Hao, Chelsea J.-T. Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo and Wei Wang. “Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases”. In the 11th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB 2020, Best Student Paper Award). [Project Page] [News] [Certificate]
Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang. “Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts”. In the 25th International ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019. [Project Page]
Chenshuo Sun, Xin Pei, Junheng Hao, Yewen Wang, Zuo Zhang, SC Wong. “Role of road network features in the evaluation of incident impacts on urban traffic mobility”. In Transportation Research Part B: Methodological (TRB), 2018.
Chenshuo Sun, Junheng Hao, Xin Pei, Zuo Zhang, Yi Zhang. “A data-driven approach for duration evaluation of accident impacts on urban intersection traffic flow”. In IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016.
Tanachat Nilanon, Jiayu Yao, Junheng Hao, Sanjay Purushotham, Yan Liu. “Normal/abnormal heart sound recordings classification using convolutional neural network”. In IEEE Computing in Cardiology Conference (CinC), 2016.