Haoran Yang | 杨浩然 Ph.D. Candidate Data Science and Machine Intelligence (DSMI) Lab School of Computer Science Faculty of Engineering and Information Technology University of Technology Sydney Location: 15 Broadway Ultimo NSW 2007 Australia News | About Me | Publications | Projects | Professional Services | Awards & Grants Email: Haoran.Yang-2 AT student DOT uts DOT edu DOT au [LinkedIn] [Google Scholar]

News

• [2022.11] The paper titled "Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks" is granted the Best Application Award in ADMA'2022.
• [2022.08] One paper is accepted by ADMA'2022.
• [2022.08] Haoran is invited to serve as a PC member for PRICAI'2022.
• [2022.08] Haoran is invited to serve as a PC member for AAAI'2023.
• [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. 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, supervised by Prof. Chongjun Wang. During Haoran's undergraduate study, he was a visiting student of IFM Lab at Florida State University from 07/2019 to 10/2019, 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

Publications

*: Equal Contribution, †: Corresponding Author

Conference Papers:

• 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, Regular Paper, 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. (CORE B, CCF C, Invited Paper)

Workshop Papers & Preprints:

• Haoran Yang, Xiangyu Zhao†, Muyang Li, Hongxu Chen, Guandong Xu†, “Federated Graph Contrastive Learning”, Submitted to IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Under Review)

• Sixiao Zhang*, Hongxu Chen*, Haoran Yang, Xiangguo Sun, Philip S. Yu, Guandong Xu†, “Graph Masked Autoencoders with Transformers”, Submitted to IEEE Transactions on Knowledge Discovery from Data (TKDD). (Under Review)

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

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]

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 Membership:

• PC Member, The 19th Pacific Rim International Conference on Artificial Intelligence (PRICAI'2023), Shanghai, China, 10th-13th November, 2022
• PC Member, The 37th AAAI Conference on Artificial Intelligence (AAAI'2023), Washington, DC, USA, 7th-14th February, 2023

Journal Reviewer:

• IEEE Transactions on Knowledge and Data Engineering (TKDE)
• ACM Transactions on Information Systems (TOIS)
• World Wide Web Journal (WWWJ)

Conference Reviewer:

• WSDM'2023, ICONIP'2022, ADMA'2022, PRICAI'2022, AAAI'2023, ICDM'2022, CIKM'2022, IJCNN'2022, KDD'2022, IJCAI'2022, AAAI'2022, SDM'2022, WWW'2022, WWW'2021, IJCAI'2021, KDD'2021, CIKM'2021

Awards & Grants

• 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
• 2009.02, Special Tribute, Touching China 2008 | 感动中国2008，特别奖