Jing Du

25 papers A* 7A 2Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Community-Structure Enhanced Brain Graph Mining.
IEEE Trans. Artif. Intell.
Shichen Luo, Xuexiong Luo, Jing Du, Jia Wu, Jian Yang
2026 J jnl
From Ecological Connectivity to Outbreak Risk: A Heterogeneous Graph Network for Epidemiological Reasoning under Sparse Spatiotemporal Data.
CoRR
Haley Stone, Jing Du, Yang Yang, Ashna Desai, Rebecca Dawson, Hao Xue, David Heslop, Matthew Scotch, Andreas Züfle, C. Raina MacIntyre, Flora Salim
2026 A* conf
Genomic-Informed Heterogeneous Graph Learning for Spatiotemporal Avian Influenza Outbreak Forecasting.
WWW
Jing Du, Haley Stone, Yang Yang, Ashna Desai, Hao Xue, Andreas Züfle, C. Raina MacIntyre, Flora D. Salim
2025 — conf
A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models.
SIGSPATIAL/GIS
Haley Stone, Jing Du, Hao Xue, Matthew Scotch, David J. Heslop, Andreas Züfle, C. Raina MacIntyre, Flora Salim
2025 J jnl
A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models.
CoRR
Haley Stone, Jing Du, Hao Xue, Matthew Scotch, David J. Heslop, Andreas Züfle, C. Raina MacIntyre, Flora Salim
2025 J jnl
BLUE: Bi-layer Heterogeneous Graph Fusion Network for Avian Influenza Forecasting.
CoRR
Jing Du, Haley Stone, Yang Yang, Ashna Desai, Hao Xue, Andreas Züfle, C. Raina MacIntyre, Flora D. Salim
2025 — conf
Enhanced Social Event Detection through Dynamically Weighted Meta-Paths Modeling.
WWW (Companion Volume)
Congbo Ma, Zitai Qiu, Hu Wang, Jing Du, Shan Xue, Jia Wu, Jian Yang
2025 — conf
Explicit and Implicit Data Augmentation for Social Event Detection.
ACL (1)
Congbo Ma, Yuxia Wang, Jia Wu, Jian Yang, Jing Du, Zitai Qiu, Qing Li, Hu Wang, Preslav Nakov
2025 J jnl
Explicit and Implicit Data Augmentation for Social Event Detection.
CoRR
Congbo Ma, Yuxia Wang, Jia Wu, Jian Yang, Jing Du, Zitai Qiu, Qing Li, Hu Wang, Preslav Nakov
2025 A* conf
Joint Test-time Adaptation with Refined Pseudo-labels and Latent Score Matching.
ACM Multimedia
Yijie Yang, Lianyong Qi, Weiming Liu, Fan Wang, Jing Du, Yuwen Liu, Xiaolong Xu, Qiang Ni, Wanchun Dou, Xiaokang Zhou
2024 A* conf
Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis.
ICDM
Guangwei Dong, Xuexiong Luo, Jing Du, Jia Wu, Shan Xue, Jian Yang, Amin Beheshti
2024 — conf
Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification.
MICCAI (10)
Jing Du, Guangwei Dong, Congbo Ma, Shan Xue, Jia Wu, Jian Yang, Amin Beheshti, Quan Z. Sheng, Alexis Giral
2024 — —
Enhancing Personalized Recommendations with Transferable User Representation Learning in Limited Data Contexts.
Jing Du
2024 A* conf
Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement.
SIGIR
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2024 J jnl
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement.
CoRR
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2024 J jnl
Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference.
CoRR
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Jia Wu, Jian Yang, Michael Sheng, Lina Yao
2023 J jnl
Adversarially Contrastive Estimation of Conditional Neural Processes.
CoRR
Zesheng Ye, Jing Du, Lina Yao
2023 A* conf
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation.
ICDM
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2023 J jnl
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation.
CoRR
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2023 A conf
IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation.
WSDM
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2023 A conf
NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes.
CIKM
Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, Lina Yao
2022 A* conf
Hierarchical Task-aware Multi-Head Attention Network.
SIGIR
Jing Du, Lina Yao, Xianzhi Wang, Bin Guo, Zhiwen Yu
2022 J jnl
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation.
CoRR
Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu
2022 A* conf
Socially-aware Dual Contrastive Learning for Cold-Start Recommendation.
SIGIR
Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu
2019 J jnl
CrowDNet: Enabling a Crowdsourced Object Delivery Network Based on Modern Portfolio Theory.
IEEE Internet Things J.
Jing Du, Bin Guo, Yan Liu, Liang Wang, Qi Han, Chao Chen, Zhiwen Yu