Xinke Jiang

According to our database, Xinke Jiang authored at least 12 papers between 2022 and 2024.

Collaborative distances:

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

2024

FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis.

Songhua Yang, Xinke Jiang, Hanjie Zhao, Wenxuan Zeng, Hongde Liu, Yuxiang Jia

CoRR, 2024

CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks.

Yifan Duan, Guibin Zhang, Shilong Wang, Xiaojiang Peng, Ziqi Wang, Junyuan Mao, Hao Wu, Xinke Jiang, Kun Wang

CoRR, 2024

Kuaiji: the First Chinese Accounting Large Language Model.

Jiayuan Luo, Songhua Yang, Xiaoling Qiu, Panyu Chen, Yufei Nai, Wenxuan Zeng, Wentao Zhang, Xinke Jiang

CoRR, 2024

Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model.

Jiayuan Luo, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Dingyi Zhuang, Hao Chen, Xinke Jiang

CoRR, 2024

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation.

Ruizhe Zhang, Xinke Jiang, Yuchen Fang, Jiayuan Luo, Yongxin Xu, Yichen Zhu, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, 2024

Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder.

Xinke Jiang, Zidi Qin, Jiarong Xu, Xiang Ao

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models.

Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, 2023

Spatiotemporal Graph Neural Networks with Uncertainty Quantification for Traffic Incident Risk Prediction.

Xiaowei Gao, Xinke Jiang, Dingyi Zhuang, Huanfa Chen, Shenhao Wang, James Haworth

CoRR, 2023

Uncertainty Quantification in the Road-level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN).

Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang

CoRR, 2023

Uncertainty Quantification in the Road-Level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN) (Short Paper).

Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang

Proceedings of the 12th International Conference on Geographic Information Science, 2023

Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction.

Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao

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

2022

Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning.

Rongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, Fan Zhou

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022