Jing Du

According to our database, Jing Du authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Enhanced Social Event Detection through Dynamically Weighted Meta-Paths Modeling.

Congbo Ma, Zitai Qiu, Hu Wang, Jing Du, Shan Xue, Jia Wu, Jian Yang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Enhancing Personalized Recommendations with Transferable User Representation Learning in Limited Data Contexts.

Jing Du

PhD thesis, 2024

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference.

Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Jia Wu, Jian Yang, Michael Sheng, Lina Yao

CoRR, 2024

Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement.

Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao

CoRR, 2024

Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement.

Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis.

Guangwei Dong, Xuexiong Luo, Jing Du, Jia Wu, Shan Xue, Jian Yang, Amin Beheshti

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

Adversarially Contrastive Estimation of Conditional Neural Processes.

Zesheng Ye, Jing Du, Lina Yao

CoRR, 2023

IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation.

Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation.

Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao

Proceedings of the IEEE International Conference on Data Mining, 2023

NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes.

Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, Lina Yao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Hierarchical Task-aware Multi-Head Attention Network.

Jing Du, Lina Yao, Xianzhi Wang, Bin Guo, Zhiwen Yu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Socially-aware Dual Contrastive Learning for Cold-Start Recommendation.

Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2019

CrowDNet: Enabling a Crowdsourced Object Delivery Network Based on Modern Portfolio Theory.

Jing Du, Bin Guo, Yan Liu, Liang Wang, Qi Han, Chao Chen, Zhiwen Yu

IEEE Internet Things J., 2019