Hongxu Chen

Dr. Hongxu CHEN 陈红旭

ABOUT:

Dr. Hongxu Chen is now working as a senior data scientist at Commonwealth Bank of Australia (CBA). Prior to that, he was a postdoc research fellow at University of Technology Sydney. Hongxu completed his Ph.D. at The University of Queensland (UQ), Australia in Data Science (formerly DKE) Research Group , School of Information Tech. and Electrical Engineering (ITEE). His PhD Thesis won the 2020 Dean's Award for Outstanding Higher Degree by Research Theses.

His research interests include:

Data Mining and Analysis
Network Science
Complex Network Mining
Network Embedding
Recommender Systems
Social Networks Modelling and Analytics

E-mail: hongxu.chen[*at*]uq.edu.au

Media:

News:

[01/2023] Our work on Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning has been accepted by the 32th ACM Web Conference (a.k.a., WWW 2023), Austin, Texas, USA in April 2023. The paper was coauthored with my Ph.D student Haoran Yang, congrats to Haoran!
[01/2023] I am invited and will continue serving as a program committee at SIGIR 2023 and IJCAI 2023.
[09/2022] I am invited as a program committee of The Web Conference 2023 in AUSTIN, TEXAS, USA.
[25/06/2022] I am invited as a program committee of WSDM 2023 (The 16th International Conference on Web Search and Data Mining).
[28/02/2022] Personal Update: I will join Commonwealth Bank of Australia from March 2022. All the best to you who come and visit this site. I will keep updating when there is something new and exciting.
[23/02/2022] We are the winner of "ICT Research Project of the Year" in the 2021 ACS (Australian Computer Society) Digital Disruptors Award.
[21/02/2022] I am invited as a PC member at CIKM 2022.
[14/01/2022] We have three papers on dual space graph contrastive learning, unsupervised graph attack and graph structure learning accepted by the prestigious conference - The Web Conference 2022 (WWW'22).
[20/12/2021] Our project has been selected as finalist of "ICT Research Project of the Year" in the 2021 ACS (Australian Computer Society) Digital Disruptors Award.
[07/12/2021] I will serve as a Program Committee member at KDD 2022.
[24/11/2021] I am selected by the Dean, UQ Graduate School as a recipient of the 2020 Dean's Award for Outstanding Higher Degree by Research Theses (Fewer than 10% of PhD and MPhil graduates are recognised this way each year).
[27/10/2021] Our research paper on CTR prediction collaborated with eBay Research was nominated for the Best Paper at leading data science conference CIKM 2021!
[22/10/2021] Our collaboration with eBay on Tiktok Influencer Monitoring for Targeted Marketing won the Top 3 Leaders' Choice Award selected by the eBay Leadership Team; The eBay leadership team finally selected only 3 out of 2000 teams globally. The system we developed is live here and the corresponding paper is published in CIKM 2021.
[12/10/2021] Our paper titled "Geometric Inductive Matrix Completion: A hyperbolic Approach with Unified Message Passing" was accepted by WSDM 2022.
[08/10/2021] I am invited as a member of the Program Committee (PC) of The WebConf 2022 (The Web Conference 2022).
[01/10/2021] I am invited to serve as a member of the Program Committee (PC) of the 2022 SIAM International Conference on Data Mining (SDM’22), to be held in Alexandria, Virginia, on April 28 to April 30, 2022.
[31/08/2021] Our paper titled "Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation" has been accepted for oral presentation at ICDM 2021.
[28/08/2021] Our tutorial titled "Graph Data Mining in Recommender Systems" was accepted by WISE 2021. [Download]
[10/08/2021] I am invited as a program committee of AAAI 2022.
[09/08/2021] Our TagPick system demo system collaborated with eBay is go-live and has been accepted by CIKM 2021. [29/09/2021 update: the project was awarded as the second prize at UTS project showcase.]
[08/08/2021] We have two papers accepted by the top conference CIKM 2021, which are about using hypergraphs for CTR prediction (collaborated with eBay) and sequential recommendation systems.
[10/07/2021] I am invited as a program committee of IJCAI-ECAI 22.
[01/06/2021] I am invited as a program committee of WSDM 2022 (The 15th International Conference on Web Search and Data Mining).
[17/05/2021] Our research titled "Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems" is accepted by Top 1 Data Mining conference - SIGKDD 2021.
[15/04/2021] I am invited as a program committee of CIKM 2021 (The 30th ACM International Conference on Information and Knowledge Management).
[23/02/2021] I am invited as a Review Editor on the Editorial Board of Data Mining and Management (specialty section of Frontiers in Big Data).
[16/01/2021] We have one research paper "Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks" is got accepted by the Web Conference 2021 (WWW21, Core rank A*, CCF rank A.)
[5/01/2021] Our paper titled "FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection" has been accepted by top Journal "IEEE Journal of Biomedical and Health Informatics". (Q1 and Core rank A*)
[14/12/2020] Our paper titled "A Scalable Redefined Stochastic Blockmodel" is published in ACM Transactions on Knowledge Discovery from Data (TKDD).
[1/12/2020] I am promoted to serve as a Senior PC of IJCAI'21.
[30/11/2020] I am invited to serve as a PC member of KDD'21.
[16/10/2020] We have 2 papers "Heterogeneous Hypergraph Embedding for Graph Classification", "Temporal Meta-path Guided Explainable Recommendation" accepted by the top conference WSDM 2021 (CORE A*, CCF B).
[03/10/2020] Our paper titled "Hyperbolic Node Embedding for Signed Networks" is published in Neurocomputing journal.
[01/10/2020] I have been supported by eBay for research on customer profiling through understanding micro-videos (Chief Investigator, USD$60,000, is about AUD$83,000) .
[24/09/2020] I am invited to serve as a PC member of the Web Conference 2021 (WWW'21).
[28/08/2020] I am invited to serve as a PC member of AAAI'21.
[26/08/2020] I am invited to serve as a PC member of IJCAI'21.
[18/06/2020] I have been invited to join the Editorial Board of Complexity (Q1 Journal).
[16/06/2020] Our first research article in Biomedical and Health informatics - "Disease Prediction via Graph Neural Networks" was accepted by leading Journal "IEEE Journal of Biomedical and Health Informatics". (Core rank A*)
[16/05/2020] We have one research paper "Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction" accepted by top data mining conference KDD'20 (CORE A*, CCF A) as oral (acceptance rate 16.8%).
[20/04/2020] I have been selected to be a CCL 2020 Mentor (CCL2020).
[22/03/2020] I have been invited to be a Program Committee of The Nineteenth China National Conference on Computational Linguistics (CCL2020).
[13/03/2020] We have one paper "Social Boosted Recommendation with Folded Bipartite Network Embedding" accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE).
[01/02/2020] I have been invited to be the Publicity Chair of 7th International Conference on Behavioural and Social Computing (BESC2020).
[10/05/2019] One full research paper is accepted by the top conference IJCAI'19 (CCF A, CORE A*).
[30/04/2019] One full research paper is accepted by the top conference KDD'19 (CCF A, CORE A*).
[09/02/2019] Two full research papers are accepted by the top conference ICDE'19 (CCF A, CORE A*).
[18/08/2018] One full research paper is accepted by the top conference ICDM'18 (CORE A*).
[06/05/2018] One full research paper is accepted by the top conference KDD'18 (CCF A, CORE A*).

Professional Services:

Journal Editorships:
- - Editorial Board of Complexity Journal.
  - Editorial Board of Data Mining and Management (specialty section of Frontiers in Big Data).
Publicity Co-Chair:
- - The 7th International Conference on Behavioural and Social Computing ( BSEC 2020), Bournemouth UK / 5-7 November 2020.
Program Committee Member：
- - PC Member, the 2022 SIAM International Conference on Data Mining (SDM’22)
  - PC Member, the 36th AAAI Conference on Artificial Intelligence (AAAI 2022), Vancouver, BC, Canada, Feb. 22, 2022.
  - PC Member, the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022), Vienna, Austria, August 07, 2022.
  - PC Member, the WebConference 2022 (WWW 2022).
  - PC Member, the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022).
  - PC Member, the 15th International Conference on Web Search and Data Mining (WSDM 2022) , Phoenix, Arizona, Feb. 28, 2022.
  - Senior PC Member, the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), Montreal, Canada, August 21, 2021.
  - PC Member, the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021).
  - PC Member, the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), Singapore, August 14 - 18, 2021
  - PC Member, the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), Feburary 2 - February 9, Virtually, 2021
  - PC Member, the 30th The Web Conference, formerly known as WWW conference (WWW 2021), Ljubljana, the capital of Slovenia within April 19-23, 2021 .
  - PC Member, the 16th International Conference on Advanced Data Mining and Applications (ADMA 2020) on 12-14 November 2020 in Foshan, China.
  - PC Member, the 27th International Conference on Neural Information Processing (ICONIP 2020), 18 -22 November, 2020,Bangkok, Thailand.
  - PC Member, the 19th China National Conference on Computational Linguistics (CCL' 2020), 30 October - 1 November, 2020, Haikou, China.
  - PC Member, The 12th International Conference on Emerging Networks and Systems Intelligence (EMERGING'20), 25 -29October, 2020 - Nice, France.
  - Before 2020: ADMA'19, RSBSD'19, ADMA'18, BDASC’18.
Invited Conference Reviewer:
- - KDD20, IJCAI20, SIGIR20, VLDB20, CIKM19, ICDM19, KDD19, VLDB19, SIGIR19, AAAI19, PAKDD19, ICDM8, CIKM18, ICDM17, CIKM17, WISE17, WISE18.
Invited Journal Reviewer:
- - IEEE Transactions on Knowledge and Data Engineering (TKDE)
  - WWW Journal
  - VLDB Journal
  - IEEE Transactions on Systems, Man and Cybernetics: Systems
  - Journal of Complexity
  - ACM Transactions on Data Science.
  - Journal of Computer Science & Technology.
  - IEEE Access

Selected Publications (Full List of Publications):

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, the first author is Dr. Hongxu Chen's PhD student, Corresponding author and contributing equally with the first author)
Haoran Yang, Hongxu Chen*, Shirui Pan, Lin Li, Philip S Yu and Guandong Xu. "Dual Space Graph Contrastive Learning". The Web Conference 2022 (WWW'22), Lyon, France, April 25th-29th 2021. (Core A*, CCF A , The first author is Dr. Hongxu Chen's PhD student, Corresponding author and contributing equally with the first author) .
Sixiao Zhang, Hongxu Chen*, Xiangguo Sun, Yicong Li and Guandong Xu. "Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation". The Web Conference 2022 (WWW'22), Lyon, France, April 25th-29th 2021. (Core A*, CCF A , The first author is Dr. Hongxu Chen's PhD student, Corresponding author and contributing equally with the first author) .
Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng and Shirui Pan. "Towards Unsupervised Deep Graph Structure Learning". The Web Conference 2022 (WWW'22), Lyon, France, April 25th-29th 2021. (Core A*, CCF A)
Chengkun, Zhang, Hongxu Chen*, Sixiao Zhang, Guandong Xu, Junbin Gao. "Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing". The 15th International Conference on Web Search and Data Mining (WSDM'22). (Corresponding author and contributing equally with the first author).
Haoran, Yang, Hongxu Chen*, Lin Li, Philip S. Yu and Guandong Xu. "Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation". 21st IEEE International Conference on Data Mining December 7-10, 2021. Auckland, New Zealand. (CORE Rank A, The first author is Dr. Hongxu Chen's PhD student, Corresponding author and contributing equally with the first author).
Yicong Li, Hongxu Chen*, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Phillip Yu and Guandong Xu. "Hyperbolic Hypergraphs for Sequential Recommendation". The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), Gold Coast, Australia. (CORE Rank A, The first author is Dr. Hongxu Chen's PhD student, Corresponding author and contributing equally with the first author).
Li He, Hongxu Chen*, Shoaib Jameel, Dingxian Wang, Philip Yu and Guandong Xu. "Click-Through Rate Prediction with Multi-Modal Hypergraphs". The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), Gold Coast, Australia. (CORE Rank A, The first author is Dr. Hongxu Chen's PhD student, Corresponding author and contributing equally with the first author).
Sixiao Zhang, Hongxu Chen*, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu. "Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems". The 27th ACM SIGKDD Conference On Knowledge Discovery and Data Mining (KDD'21), Singapore. August, 2021. (CCF Rank A, CORE Rank A*, The first author is Dr. Hongxu Chen's PhD student, Corresponding author and contributing equally with the first author). [Paper] [Poster]
Xiangguo Sun, Bo Liu, Hongxu Chen, Wang Han, Qing Meng, Jiuxin Cao and Hongzhi Yin, Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks, The Web Conference 2021 (WWW2021) (CORE rank A*, CCF rank A)
Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang. "FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection".IEEE Journal of Biomedical and Health Informatics, 2020. (JBHI'20). (Q1 Journal, CORE Rank A*)
Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao and Nguyen Quoc Viet Hung. "Heterogeneous Hypergraph Embedding for Graph Classification". The 14th ACM International WSDM Conference (WSDM'21), March, 2021. ( CORE Rank A*, CCF Rank B, acceptance rate 18.6%).
Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu and Hongzhi Yin. "Temporal Meta-path Guided Explainable Recommendation". The 14th ACM International WSDM Conference (WSDM'21), March, 2021. (CORE Rank A*, CCF Rank B, acceptance rate 18.6%).
Xueyan Liu, Bo Yang, Hechang Chen, Katarzyna Musial, Hongxu Chen, Yang Li, Wanli Zuo. "A Scalable Redefined Stochastic Blockmode". ACM Transactions on Knowledge Discovery from Data (TKDD, SCI, CCF Rank B).
Wenzhuo Song, Hongxu Chen, Xueyan Liu, Hongzhe Jiang, Shengsheng Wang.“Hyperbolic Node Embedding for Signed Networks”. Neurocomputing journal, 2020. (Q1 Journal).
Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys and Katarzyna Musial. "Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction". 26th ACM SIGKDD Conference On Knowledge Discovery and Data Mining (KDD'20), San Diego, USA. August, 2020. (CCF Rank A, CORE Rank A* ) [Code] [Data]
Hongxu Chen, Hongzhi Yin, Tong Chen, Weiqing Wang, Xue Li, Xia Hu. "Social Boosted Recommendation with Folded Bipartite Network Embedding". IEEE Transactions on Knowledge and Data Engineering. 2020. (TKDE'20). (CCF Rank A, ERA Rank A*)
Zhenchao Sun, Hongzhi Yin, Hongxu Chen, Tong Chen, Lizhen Cui, Fan Yang. "Disease Prediction via Graph Neural Networks".IEEE Journal of Biomedical and Health Informatics, 2020. (JBHI'20). (The first author is co-supervised by Dr Hongxu Chen, Q1 Journal, CORE Rank A*)
Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen. ”Inferring Substitutable Products with Deep Network Embedding”. IJCAI’19. Macau SAR.China. (CCF Rank A, Core Rank A*)
Yuandong Wang, Hongzhi Yin, Hongxu Chen, Tianyu Wo, Jie Xu and Kai Zheng.”Origin-Destination Matrix Prediction via Graph Convolution: A New Perspective of Passenger Demand Modeling”. KDD’19. Anchorage, Alaska - USA (CCF Rank A, CORE Rank A*).
Hongxu, Chen, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguye, Wen-Chih Peng, Xue Li. "Exploiting Centrality Information with Graph Convolutions for Network Representation Learning". 35th IEEE International Conference on Data Engineering (ICDE'19), Macau SAR. April, 2019. (CCF Rank A, CORE Rank A* ).
Tong Chen, Hongzhi Yin, Hongxu Chen, Rui Yan, Quoc Viet Hung Nguye, Xue Li. "AIR: Attentional Intention-Aware Recommender Systems". 35th IEEE International Conference on Data Engineering (ICDE'19), Macau SAR. April, 2019. (CCF Rank A, CORE Rank A* ).
Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou and Xue Li. "TADA: Trend Alignment with Dual-Attention Multi-Task Recurrent Neural Networks for Sales Prediction". 2018 The IEEE International Conference on Data Mining (ICDM'18), Singapore. August, 2018. (CCF Rank B, CORE Rank A*, Acceptance Rate=8.86%).
Hongxu Chen, Hongzhi Yin*, Weiqing Wang, Hao Wang, Quoc Viet Hung Nguyen, Xue Li. "PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction".2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18), London, United Kingdom. August, 2018. [Code] (CCF Rank A, CORE Rank A*). [ Alternative Pytorch implementation]
Hongzhi Yin, Hongxu Chen, Xiaoshuai Sun, Hao Wang, Yang Wang, and Quoc Viet Hung Nguyen. "SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction". 2017 IEEE International Conference on Data Mining(ICDM'17), New Orleans, USA, November, 2017. (Acceptance Rate:9.5%, Oral, CORE Rank A*).
Xiaocui Li, Hongzhi Yin, Ke Li, Hongxu Chen, Shazia Sadiq and Xiaofang Zhou. "Semi-supervised Clustering with Deep Metric Learning". The 24th International Conference on Database Systems for Advanced Applications (DASFAA'19, Short paper), Chiang Mai, Thailand. April, 2019. (CCF Rank B)
Tong Chen, Hongxu Chen and Xue Li. "Rumor Detection via Recurrent Neural Networks: A Case Study on Adaptivity with Varied Data Compositions". (PAKDD'18, Melbourne, Australia)
Tong Chen, Hongzhi Yin, Hongxu Chen, Xiaofang Zhou. ”Online Sales Prediction via Trend Alignment based Multi-Task Recurrent Neural Network”. Knowledge and Information Systems (KAIS, Q1 Journal).
Tong Chen, Ling Wu, Yang Wang, Jun Zhang, Hongxu Chen, X Li. "When Point Process Meets RNNs: Predicting Fine-Grained User Interests with Mutual Behavioral Infectivity". (arXiv preprint arXiv:1710.05135)
Hongxu Chen, Hongzhi Yin, Xue Li, Meng Wang, Weitong Chen, Tong Chen. "People Opinion Topic Model: Opinion-based User Clustering in Social Networks", 2017 International World Wide Web Conference Committee (IW3C2), WWW'17 Companion, April 3–7, 2017, Perth, Australia.

Projects & Fundings:

Zurich Insurance Adaptive Deep Learning Underwriting Quality Assurance Modelling. Zurich Financial Service Australia Ltd. (10.2021-) (Chief Investigator, AUD$ 175K)
Careerly: AI-empowered Career Path Analytics & Advising. Hampton Capital Asset Management Pty Ltd. (10. 2021-). (Chief Investigator, AUD$ 170K)
Data Quality Monitoring and Assessment Toolkit 2021. Colonial First State Investments Limited (07/01/2021- ). (Chief Investigator, AUD$ 100K)
YOZO. AI-based Fast, Reliable, and Accurate Online Loan forAustralian Small Business. (2020-2023)
eBay eRUPT 2020 - eBay’s Research and University Partnership for Technology Project. "Understanding Micro-Videos for Customer Profiling and Personalized Marketing" (Chief Investigator, AUD$ 83K)

Micro-videos are gaining significant popularity at the moment, which are a new form of user-generated content captured by using easily accessible devices such as smart phones, making the number of them growing exponentially in online sharing platforms. The goal of this proposal is therefore to develop effective and efficient machine learning models to target and profile potential customers through understanding micro-videos and users’ activities. This is an industry partnership project with eBay US.

Smart sales project for One Stop Warehouse (OSW), a leading distributor of Solar PV panels in Australia.

Teaching:

Guest lecture (Network Embedding) at The University of Queensland - Social Media Analytics. (2 Weeks in Semester 1, 2021).
41004 Capstone Project at University of Technology Sydney - Research Project. (2021 Autumn).
32934 at University of Technology Sydney - Research Project. (2020 Spring)
32931 at University of Technology Sydney - Technology Research Methods. (2020 Autumn)
INFS7450 at The University of Queensland - Social Media Analytics. (Semester 1, 2019).
INFS1200 / 7200 at The University of Queensland - Introduction to Information System. (Semester 1, 2017).
INFS3204 / 7204 at The University of Queensland - Service-Oriented Architectures.(Semester 2, 2017).

Ph.D. Students Supervision:

Yicong Li, 2020.3
Li He, 2020. 10
Sixiao Zhang, 2020
Haoran Yang, 2021

Master Students Supervision:

Sazid.AlAhsan (UTS), 2020.2 -
Zhian Chen (UTS), 2020.2 -

Alumni (Former Students and Visiting Scholars):

Adriano Arantes (UQ Master) 2019.
Xianliang Yu (UQ Master), 2019.2 - 2019.12

Talks:

Tutorial at WISE 2021 - Graph Mining in Recommender Systems. [Slides & Video]
22/06/2020 Invited talk from Smart Network Lab at Deakin University, Melbourne. Slides download.
Linguistic visualization by Spatial-Temporal Word Spectrum in Social Media ,Hongxu Chen and Xue Li, The 2016 AVML (Advances in Visual Methods for Linguistics), Sep. 26th, 2016, The University of Queensland. Brisbane, Australia.

Awards:

2020 Dean's Award for Outstanding Higher Degree by Research Theses
UQ Ph.D Scholarship (Tuition + Stipend)
eBay Leaders' Choice Top 3 Research Innovation Award
CIKM 2021 Best Paper nomination

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