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2020 – today
- 2024
[c6]Songhua Yang, Xinke Jiang, Hanjie Zhao, Wenxuan Zeng, Hongde Liu, Yuxiang Jia:
FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis. LREC/COLING 2024: 7089-7100- [c5]Yongxin Xu
, Xinke Jiang, Xu Chu, Yuzhen Xiao, Chaohe Zhang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup. KDD 2024: 3633-3644 - [c4]Xinke Jiang, Zidi Qin, Jiarong Xu, Xiang Ao:
Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder. WSDM 2024: 304-312 - [i15]Ruizhe Zhang, Xinke Jiang, Yuchen Fang, Jiayuan Luo, Yongxin Xu, Yichen Zhu, Xu Chu, Junfeng Zhao, Yasha Wang:
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation. CoRR abs/2401.09943 (2024) - [i14]Jiayuan Luo, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Dingyi Zhuang, Hao Chen, Xinke Jiang:
Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model. CoRR abs/2401.17350 (2024) - [i13]Jiayuan Luo, Songhua Yang, Xiaoling Qiu, Panyu Chen, Yufei Nai, Wenxuan Zeng, Wentao Zhang, Xinke Jiang:
Kuaiji: the First Chinese Accounting Large Language Model. CoRR abs/2402.13866 (2024) - [i12]Yifan Duan, Guibin Zhang, Shilong Wang, Xiaojiang Peng, Ziqi Wang, Junyuan Mao, Hao Wu, Xinke Jiang, Kun Wang:
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks. CoRR abs/2402.14708 (2024) - [i11]Songhua Yang, Xinke Jiang, Hanjie Zhao, Wenxuan Zeng, Hongde Liu, Yuxiang Jia:
FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis. CoRR abs/2403.01063 (2024) - [i10]Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang:
KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models. CoRR abs/2408.03297 (2024) - [i9]Xinke Jiang, Yuchen Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang:
TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems. CoRR abs/2408.09199 (2024) - [i8]Yongxin Xu, Ruizhe Zhang, Xinke Jiang, Yujie Feng, Yuzhen Xiao, Xinyu Ma, Runchuan Zhu, Xu Chu, Junfeng Zhao, Yasha Wang:
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning. CoRR abs/2410.10360 (2024) - [i7]Hongxin Ding, Yue Fang, Runchuan Zhu, Xinke Jiang, Jinyang Zhang, Yongxin Xu, Xu Chu, Junfeng Zhao, Yasha Wang:
3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical Domain Adaptation. CoRR abs/2410.10901 (2024) - [i6]Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang:
RAGraph: A General Retrieval-Augmented Graph Learning Framework. CoRR abs/2410.23855 (2024) - [i5]Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng:
Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective. CoRR abs/2412.09972 (2024) - 2023
- [c3]Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao:
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction. CIKM 2023: 3983-3987 - [c2]Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang:
Uncertainty Quantification in the Road-Level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN) (Short Paper). GIScience 2023: 33:1-33:6 - [i4]Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao:
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction. CoRR abs/2306.09882 (2023) - [i3]Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang:
Uncertainty Quantification in the Road-level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN). CoRR abs/2307.13816 (2023) - [i2]Xiaowei Gao, Xinke Jiang, Dingyi Zhuang, Huanfa Chen, Shenhao Wang, James Haworth:
Spatiotemporal Graph Neural Networks with Uncertainty Quantification for Traffic Incident Risk Prediction. CoRR abs/2309.05072 (2023) - [i1]Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang:
Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models. CoRR abs/2312.15883 (2023) - 2022
- [c1]Rongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, Fan Zhou:
Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning. KDD 2022: 936-944
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