Biography
I am now a postdoctoral research fellow at the School of
Computer Science & Engineering, University of New South Wales, supervised by Prof. Flora Salim.
Previously, I worked as a postdoc at the School of
Computing, Macquarie University, under the supervision of A/Prof. Jia Wu.
During 2020 to 2024, I was a PhD candidate at the School of Computer Science and
Engineering, the University of New South Wales, supervised by Prof. Lina Yao and Prof. Wenjie Zhang.
I received my M.S. and B.S. degree from the School of Computer Science, Northwestern Polytechnical University , in
2020 and 2017, under the supervision of Prof. Bin
Guo.
Research Interest
My research centers on the following 3 research focus:
- Human-centric Intelligence
- Graph Representation Learning
- Spatio-temporal Modeling
aiming to design adaptive and trustworthy AI systems that can robustly interpret complex, multimodal data.
I develop principled methods that advance both the theoretical foundations and practical applications of machine learning, with demonstrated impact in brain network analysis, personalized recommendation, epidemic forecasting, and societal decision-making.
Looking ahead, my long-term vision is to establish next-generation human-centric AI frameworks that seamlessly integrate graph-based and spatio-temporal reasoning, enabling robust, interpretable, and equitable decision support across critical domains such as healthcare, public safety, and sustainable society.
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Publications
Conference Papers
A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models
Haley Stone, Jing Du, Hao Xue, Matthew Scotch, David Heslop, Andreas Zufle, Raina MacIntyre, and Flora Salim
TOPICS: Avian Flu Forecasting, Epidemic Modeling
33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2025)
Minneapolis, MN, USA, November 3 - November 6, 2025
Explicit and Implicit Data Augmentation for Social Event Detection
Congbo Ma, Yuxia Wang, Jia Wu, Jian Yang, Jing Du, Zitai Qiu, Qing Li, Hu Wang, Preslav Nakov
TOPICS: Event Detection, Data Augmentation, Large Language Models
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)
Vienna, Austria, July 27–August 1st, 2025
Enhanced Social Event Detection through Dynamically Weighted Meta-Paths Modeling
Congbo Ma, Zitai Qiu, Hu Wang, Jing Du, Shan Xue, Jia Wu and Jian Yang
TOPICS: Event Detection, Meta-path Modeling
International World Wide Web Conference 2025 (The WebConf 2025)
Sydney, Australia, 28 April - 2 May, 2025
Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis
Guangwei Dong, Xuexiong Luo, Jing Du, Jia Wu, Shan Xue, Jian Yang, and Amin Beheshti
TOPICS: Data Augmentation, Brain Disorder analysis
IEEE International Conference on Data Mining (ICDM) 2024(ICDM 2024)
Abu Dhabi, UAE, 9-12 December 2024.
Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification
Jing Du, Guangwei Dong, Congbo Ma, Shan Xue, Jia Wu, Jian Yang, Amin Beheshti, Quan Z. Sheng, Alexis Giral
TOPICS: Brain Disorder Recognition, Graph Neural Network, Distributional Adaptation
The 27th International Conference on Medical Image Computing and Computer Assisted Intervention 2024(MICCAI 2024)
Marrakech, Morocco, 6-10 October, 2024
Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
TOPICS: Cross-domain Recommendation, Domain Adaptation
The 47th International ACM SIGIR Conference on
Research and Development in Information Retrieval(SIGIR 2024)
Washington D.C., USA, July 14-18, 2024
NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural
Processes
Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, Lina Yao
TOPICS: Probabilistic Meta-Learning
The 32nd ACM International
Conference on Information and Knowledge Management (CIKM 2023)
United Kingdom, Oct. 21 - Oct. 25 2023
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation
Jing Du, Zesheng Ye, Bin Guo, Zhiwe Yu, Lina Yao
TOPICS: Graph Neural Network, Supervised Domain Adaptation, Cross-Domain
Recommendation
The 23rd IEEE International Conference on Data Mining(ICDM
2023)
Shanghai, China, December 1 - December 4, 2023
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential
Recommendation
Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu
TOPICS: Temproral Dynamics Modeling, Probabilistic Models, Sequential
Recommendation
The 16th ACM International
Conference on Web Search and Data Mining (WSDM 2023)
Singapore Feb. 27 - Mar. 3 2023
Socially-aware Dual Contrastive Learning for Cold-Start Recommendation
Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu
TOPICS: Social Network Mining, Dynamic graph neural network, Cold-start
Recommendation
The 45th International ACM SIGIR Conference on
Research and Development in Information Retrieval(SIGIR 2022)
New Madrid, Spain, July 11-15, 2022
Hierarchical Task-aware Multi-Head Attention Network
Jing Du, Lina Yao, Xianzhi Wang, Bin Guo, Zhiwen Yu
TOPICS: Multitask learning, Context-aware Recommendation
The 45th International ACM SIGIR Conference on Research and Development
in Information Retrieval(SIGIR
2022)
New Madrid, Spain, July 11-15, 2022
Journal Papers
Community-Structure Enhanced Brain Graph Mining
Shichen Luo, Xuexiong Luo, Jing Du, Jia Wu, Jian Yang
TOPICS: Brain Disorder Analysis, Graph Data Mining
IEEE Transactions on Artificial Intelligence (IEEE TAI)
Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference
TOPICS: Cross-domain Recommendation, Joint Identifiability, Generative Modeling
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Jia Wu, Jian Yang, Michael Sheng, Lina Yao
2019 IEEE Transactions of Knowledge and Data Engineering (under review)
CrowDNet: Enabling a Crowdsourced Object Delivery Network based on Modern Portfolio
Theory
TOPICS: Task Allocation, Trajectory Analysis
Jing Du, Bin Guo, Yan Liu, Liang Wang, Qi Han, Chao Chen, Zhiwen Yu
2019 IEEE Internet of Things
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Awards & Honors
- MICCAI Registration Grant, 2024
- The Rising Stars Women in Engineering Workshop, 2022
- SIGIR Student Travel Grant, 2022
- Chinese Scholarship Council(CSC) Scholarship. from 2020 to 2024
- UNSW Tuition Fee Scholarship. from 2020 to 2024
- Outstanding Master Thesis, NWPU. 2020
- Zhong Hang Talent Scholarships. 2019
- First Prize of Northwestern Polytechnical University Scholarships. 2019
- Second Prize of Northwestern Polytechnical University Scholarships. 2018,
2017
- First Prize of Programming Competition, NWPU 2016
- ... ...
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Academia Services
- Area Chair, IJCNN 2025.
- PC member, AAAI 2025.
- PC member, ACL 2025.
- PC member, SIGIR 2023, 2024, 2025.
- PC member, WWW/TheWebConf 2024, 2025.
- PC member, SIGIR-AP 2023, 2024, 2025.
- Reviewer, CIKM 2023, 2024, 2025.
- Reviewer, MICCAI 2024, 2025.
- Reviewer, ADMA 2022, 2023, 2024.
- Reviewer, IMWUT.
- Reviewer, IEEE Transactions of Knowledge and Data Engineering.
- Reviewer, IEEE Transactions of Information System.
- Reviewer, Frontiers of Computer Science.
- Reviewer, IEEE Transactions on Human-Machine Systems.
- Reviewer, Knowledge-Based Systems.
- External reviewer, KDD 2022.
- External reviewer, PAKDD 2022.
- External reviewer, SIGIR 2022.
- Reviewer, PPNA 2021.
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Teaching Experience
- ZZSC 9020 Data Science Project, 2025 Hexamester 5, Mentor.
- COMP 9727 Recommender Systems, 2025 Term 2, Tutor.
- COMP 9727 Recommender Systems, 2022 Term 2, Tutor.
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