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杨浩然 (YANG, HAORAN) Ph.D. Student
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News
- [2024.03] Haoran is invited to serve as a PC member for CIKM'2024.
- [2024.02] Haoran is invited to serve as a PC member for IEEE BigData'2024.
- [2023.12] Haoran is invited to serve as a PC member for IJCAI'2024.
- [2023.12] Haoran is granted the UTS HDR Publication Fund 2023 - Round 2.
- [2023.12] Haoran is invited to give a talk at Hunan University Yuelu Forum for International Young Scholars.
- [2023.11] Haoran is invited to give a talk at School of Computer Science Fudan University.
- [2023.11] Haoran is granted the UTS VC's Conference Fund 2023 - Round 3.
- [2023.09] One full research paper is accepted by NeurIPS'2023.
- [2023.09] One co-authored paper is accepted by BESC'2023.
- [2023.08] One full research paper is accepted by Information Sciences.
- [2023.07] Haoran is invited to serve as a PC member for AAAI'2024.
- [2023.06] Haoran is offered a place in the UTS-PolyU Joint PhD Programme. See you in Hong Kong!
- [2023.05] Haoran is invited to serve as a PC member for CIKM'2023.
- [2023.04] Haoran successfully passed his Candidature Assessment 2.
- [2023.03] Haoran is invited to serve as a PC member for PRICAI'2023.
- [2023.01] One full research paper is accepted by WWW'2023.
- [More]
About Me
Haoran Yang is currently a joint Ph.D. student at the School of Computer Science of the University of Technology Sydney, supervised by Prof. Guandong Xu and Dr. Hongxu Chen, and the Department of Computing of the Hong Kong Polytechnic University, supervised by Chair Prof. Qing Li. Haoran has been working closely with Dr. Xiangyu Zhao at the School of Data Science of the City University of Hong Kong since 2022.03. Prior to that, Haoran obtained his B.Sc. in Computer Science and Technology and B.Eng.; Minor in Financial Engineering from Nanjing University in 2020. During Haoran's undergraduate study, he was a visiting student at the IFM Lab at the Florida State University, supervised by Dr. Jiawei Zhang.Haoran's research scopes include but are not limited to Graph Neural Networks, Graph Data Mining, Recommender Systems. Haoran is also interested in other research areas of graph-related application such as Social Network Analysis and Molecular Structure Analysis.
Education Background
- 2023.09- , Ph.D. Candidate at The Hong Kong Polytechnic University
- 2021.04- , Ph.D. Candidate at University of Technology Sydney
- 2019.08-2019.10, Visiting Student of IFM Lab at Florida State University
- 2016.09-2020.06, Undergraduate Student at Nanjing University
Tutorials
- Hongxu Chen, Yicong Li, Haoran Yang, "Graph Data Mining in Recommender Systems", The 22nd International Conference on Web Information Systems Engineering (WISE'2021), Melbourne, Australia, 26th-29th October 2021 [Slides]
Publications
*: Equal Contribution, †: Corresponding AuthorJournal Papers:
- Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu†, "Mitigating Performance Sacrifice in DP-satisfied Federated Settings through Graph Contrastive Learning", Information Sciences (INS), Volume 648, 2023, 119552, ISSN 0020-0255. (JCR Q1, 中科院SCI一区TOP, IF=8.1, CORE A, CCF B)
Conference Papers:
- Haoran Yang, Xiangyu Zhao†, Yicong Li, Hongxu Chen, Guandong Xu†, "An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations", The 37th Conference on Neural Information Processing Systems (NeurIPS'2023), New Orleans, Louisiana, USA, 11th-14th Dec 2023. (CORE A*, CCF A) [Slides]
- Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu, "From Occupations to Tasks: A New Perspective on Automatability Prediction Using BERT", The 10th International Conference on Behavioural and Social Computing (BESC'2023), Larnaca, Cyprus, 30th Oct-1st Nov 2023.
- Haoran Yang*, Hongxu Chen*†, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu†, "Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning", The 32nd ACM Web Conference (WWW'2023), Austin, Texas, USA, 30th April-4th May 2023. (CORE A*, CCF A) [Slides]
- Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu, "Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks", The 18th International Conference on Advanced Data Mining and Applications (ADMA'2022), Brisbane, Australia, 30th Nov-2nd Dec 2022. (CORE B, CCF C, Best Application Award)
- Lin Meng, Haoran Yang, Jiawei Zhang, "Stage Evolving Graph Neural Network based Dynamic Recommendation with Life Cycles", The 2022 International Joint Conference on Neural Networks (IJCNN'2022), Padua, Italy, 18th-23rd July 2022. (CORE B, CCF C)
- Haoran Yang*, Hongxu Chen*†, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu†, "Dual Space Graph Contrastive Learning", The 31st ACM Web Conference (WWW'2022), Lyon, France, 25th-29th April 2022. (CORE A*, CCF A) [Slides]
- Haoran Yang*, Hongxu Chen*†, Lin Li, Philip S. Yu, Guandong Xu†, "Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation", The 21st IEEE International Conference on Data Mining (ICDM'2021), Auckland, New Zealand, 7th-10th December 2021. (CORE A*, CCF B, Acceptance Rate: 9.9%) [Slides]
Patent Applications
- Hongxu Chen, Li He, Dingxian Wang, Xianzhi Wang, Guandong Xu, Haoran Yang, "Matching Influencers with Catergorized Items Using Multimdoel Machine Learning", U.S. Patent, ATTY. DCK. NO. 2043.M70US1. (Under Review)
Projects
- Understanding Micro-Videos for Customer Profiling and Personalized Marketing, eRUPT 2020 (eBay’s Research and University Partnership for Technology Project)
- An Information Retrieval-based (IR-based) Approach Combining with Code Independence for Updating Requirments | 基于代码依赖紧密度的过时需求更新技术研究 (2018年江苏省大学生创新训练计划项目)
Invited Talks
- "Graph Contrastive Learning and Its Applications in Recommendation Systems", at School of Computer Science and Electronic Engineering, Hunan University, 26th December 2023.
- "Bridging Connections: Exploring Network Representation Learning, Recommender Systems, and the Frontiers of GenAI", Collaborated with Dr. Hongxu Chen, at School of Computer Science Fudan University, 2nd December 2023.
Professional Services
Memebrship of Academic Organizations:
- ACM Member
Program Committee Member:
- CIKM'2024, IEEE BigData'2024, IJCAI'2024, AAAI'2024, CIKM'2023, PRICAI'2023, AAAI'2023, PRICAI'2022
Teaching and Supervision Experiences:
- Teaching Assistant, 2024 Spring, PolyU COMP1004: Introduction to Artificial Intelligence and Data Analytics
- Teaching Assistant, 2023 Fall, PolyU COMP1004: Introduction to Artificial Intelligence and Data Analytics
- Project Supervisor, 2022 Autumn, UTS 41004: AI/Analytics Capstone Project
Journal Reviewer:
- ACM Transactions on Knowledge Discovery from Data (TKDD)
- ACM Transactions on Information Systems (TOIS)
- World Wide Web Journal (WWWJ)
Conference Reviewer:
- SIGIR'2024, WWW'2024, CIKM'2023, ADMA'2023, PAKDD'2023, DASFAA'2023, PRICAI'2023, WWW'2023, WSDM'2023, AAAI'2023, ICONIP'2022, ADMA'2022, PRICAI'2022, CIKM'2022, IJCNN'2022, KDD'2022, CIKM'2021
Awards & Grants
- 2023.12, UTS HDR Publication Fund 2023 - Round 2
- 2023.11, UTS Vice-Chancellor's Postgraduate Research Students Conference Fund 2023 - Round 3
- 2023.06, PolyU Research Postgraduate Scholarship, The Hong Kong Polytechnic University
- 2022.11, The Best Application Award, The 18th International Conference on Advanced Data Mining and Applications (ADMA'2022)
- 2022.04, UTS Vice-Chancellor's Postgraduate Research Students Conference Fund 2022 - Online Round 1
- 2021.10, UTS Vice-Chancellor's Postgraduate Research Students Conference Fund 2021 - Online Round 3
- 2021.02, Australian Research Council Linkage Project Scholarship, University of Technology Sydney
- 2021.02, International Research Scholarship, University of Technology Sydney
- 2019.11, Scholarship for Elite, Nanjing University | 南京大学菁英奖学金
- 2019.11, The People's Scholarship in China | 人民奖学金
- 2019.04, MCM/ICM 2019 Honorable Mention
- 2018.11, Scholarship for Elite, Nanjing University | 南京大学菁英奖学金
- 2018.11, The People's Scholarship in China | 人民奖学金
- 2018.11, The 14th Citi Financial Innovation Application Competition, The Third Prize, Top 8 in Nationwide | 第十四届“花旗杯”金融创新大赛，三等奖，全国八强