Yang, Haoran | 杨浩然 [Google Scholar] Ph.D. Candidate Data Science and Machine Intelligence (DSMI) Lab Faculty of Engineering and Information Technology University of Technology Sydney Department of Computing (电子计算学系) The Hong Kong Polytechnic University (香港理工大学) UTS Location: 15 Broadway, Ultimo, NSW 2007, Australia PolyU Location: 11 Yuk Chai Rd, Hung Hom, Kowloon City District, Hong Kong SAR, China UTS-Email: haoran.yang-2 AT student DOT uts DOT edu DOT au PolyU-Email: haoran98.yang AT connect DOT polyu DOT hk News | About Me | Publications | Projects | Professional Services | Awards & Grants

News

• [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.
• [2022.11] The paper accepted by ADMA'2022 is granted the Best Application Award.
• [2022.08] One co-authored paper is accepted by ADMA'2022.
• [2022.08] Haoran is invited to serve as a PC member for AAAI'2023.
• [2022.08] Haoran is invited to serve as a PC member for PRICAI'2022.
• [2022.04] One co-authored paper is accepted by IJCNN'2022.
• [2022.04] Haoran is granted the UTS VC's Conference Fund 2022 - Online Round 1.
• [2022.03] Haoran successfully passed his Candidature Assessment 1.
• [2022.01] One full research paper is accepted by WWW'2022.
• [2021.10] Haoran is granted the UTS VC's Conference Fund 2021 - Online Round 3.
• [2021.08] One full research paper is accepted by ICDM'2021.
• [2021.08] One tutorial proposal is accepted by WISE'2021.

About Me

Haoran Yang is currently a Ph.D. candidate at Data Science and Machine Intelligence Lab of Faculty of Engineering and Information Technology, University of Technology Sydney, supervised by Prof. Guandong Xu and Dr. Hongxu Chen, and Department of Computing of The Hong Kong Polytechnic University, supervised by Chair Prof. Qing Li. He also works closely with Dr. Xiangyu Zhao at City University of Hong Kong. Prior to that, he 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 of IFM Lab at Florida State University, supervised by Dr. Jiawei Zhang.

Haoran's research interests include but not limited to Graph Neural Networks and Recommendation Systems. Currently, he focuses on the following research topics:

• Graph Contrastive Learning (GCL)
• GCL's Application in Recommendation Systems

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 Author

Journal 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)

• 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) [Source Codes] [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) [Source Codes] [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%) [Source Codes] [Slides]

Chapters:

• Chen H., Li Y., Yang H. (2021) "Graph Data Mining in Recommender Systems". In: Zhang W., Zou L., Maamar Z., Chen L. (eds) Web Information Systems Engineering (WISE'2021). Lecture Notes in Computer Science, vol 13081. Springer, Cham.

Patent Applications

• "MATCHING INFLUENCERS WITH CATEGORIZED ITEMS USING MULTIMODAL MACHINE LEARNING",
  Hongxu Chen, Li He, Dingxian Wang, Xianzhi Wang, Guandong Xu, Haoran Yang,
  U.S. Patent Application, ATTY. DCK. NO. 2043.M70US1

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)

Professional Services

Program Committee Member:

• AAAI'2024, CIKM'2023, PRICAI'2023, AAAI'2023, PRICAI'2022

Journal Reviewer:

• ACM Transactions on Information Systems (TOIS)
• World Wide Web Journal (WWWJ)

Conference Reviewer:

• 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

• 2023.06, 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