Biography

I am currently a fifth-year PhD candidate in Scalable Analytics Institute (ScAi), Department of Computer Science at University of California, Los Angeles. My advisors are Yizhou Sun and Wei Wang.

Before coming to UCLA, I graduated in 2017 from Department of Automation, School of Information Science and Technology, Tsinghua University.

News

• [2022.01] Serving reviewer/PC member of ACL Rolling Review and ICML.
• [2022.01] One paper accepted at WWW 2022.
• [2021.06] Start my summer internship as a research intern at Microsoft Research, collaborating with scientists and researchers at MSAI.
  
• [2021.05] One paper accepted at KDD 2021 (Applied Data Science Track).
• [2021.04] One paper accepted at ISMB/ECCB 2021.
• [2020.10] Promoted to Teaching Associate.
• [2020.07] One applied research track paper accepted at CIKM 2020.
• [2020.07] One paper accepted at ACM BCB 2020 and awarded as selected as Best Student Paper Award!
• More news …

• 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.

• [Winter 2021] CS M146: Introduction to Machine Learning (Instructor: Sriram Sankararaman) ↪ Discussion Page ↪ Teaching Evaluation
• [Fall 2020] CS145: Introduction to Data Mining (Instructor: Yizhou Sun). ↪ Discussion Page ↪ Teaching Evaluation
• [Spring 2019] CS32: Introduction to Computer Science II, Data Structures (Instructor: David Smallberg). ↪ Discussion Page (Archived)
• [Winter 2019] CS32: Introduction to Computer Science II, Data Structures (Instructor: David Smallberg & Carey Nachenberg). ↪ Discussion Page (Archived)
• [Fall 2018] CS145: Introduction to Data Mining (Instructor: Yizhou Sun). ↪ Discussion Page (Archived)

• jhao [AT] cs.ucla.edu
• Room 3551A, Boelter Hall, 580 Portola Plaza, Los Angeles, CA 90095