Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning. - Rongfan Li; Ting Zhong; Xinke Jiang; Goce Trajcevski; Jin Wu 002; Fan Zhou 002 (KDD, 2022)

Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction. - Xinke Jiang; Dingyi Zhuang; Xianghui Zhang; Hao Chen 103; Jiayuan Luo; Xiaowei Gao (CIKM, 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 (GIScience, 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)

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)

Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models. - Xinke Jiang; Ruizhe Zhang 013; Yongxin Xu; Rihong Qiu; Yue Fang; Zhiyuan Wang; Jinyi Tang; Hongxin Ding; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2023)

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 (LREC/COLING, 2024)

ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup. - Yongxin Xu; Xinke Jiang; Xu Chu; Yuzhen Xiao; Chaohe Zhang; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (KDD, 2024)

RAGraph: A General Retrieval-Augmented Graph Learning Framework. - Xinke Jiang; Rihong Qiu; Yongxin Xu; Wentao Zhang 008; Yichen Zhu; Ruizhe Zhang 013; Yuchen Fang 001; Chu Xu; Junfeng Zhao 001; Yasha Wang (NeurIPS, 2024)

Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder. - Xinke Jiang; Zidi Qin; Jiarong Xu; Xiang Ao 001 (WSDM, 2024)

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation. - Ruizhe Zhang 013; Xinke Jiang; Yuchen Fang 001; Jiayuan Luo; Yongxin Xu; Yichen Zhu; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2024)

Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model. - Jiayuan Luo; Wentao Zhang 008; Yuchen Fang 001; Xiaowei Gao; Dingyi Zhuang; Hao Chen 103; Xinke Jiang (CoRR, 2024)

Kuaiji: the First Chinese Accounting Large Language Model. - Jiayuan Luo; Songhua Yang; Xiaoling Qiu; Panyu Chen; Yufei Nai; Wenxuan Zeng; Wentao Zhang 008; Xinke Jiang (CoRR, 2024)

CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks. - Yifan Duan; Guibin Zhang; Shilong Wang 002; Xiaojiang Peng; Ziqi Wang; Junyuan Mao; Hao Wu; Xinke Jiang; Kun Wang 056 (CoRR, 2024)

TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems. - Xinke Jiang; Yue Fang; Rihong Qiu; Haoyu Zhang; Yongxin Xu; Hao Chen 103; Wentao Zhang 008; Ruizhe Zhang 013; Yuchen Fang 001; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2024)

3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical Domain Adaptation. - Hongxin Ding; Yue Fang; Runchuan Zhu; Xinke Jiang; Jinyang Zhang; Yongxin Xu; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2024)

KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models. - Ruizhe Zhang 013; Yongxin Xu; Yuzhen Xiao; Runchuan Zhu; Xinke Jiang; Xu Chu; Junfeng Zhao 001; Yasha Wang (AAAI, 2025)

Time Series Supplier Allocation via Deep Black-Litterman Model. - Xinke Jiang; Wentao Zhang 008; Yuchen Fang 001; Xiaowei Gao; Hao Chen 103; Haoyu Zhang; Dingyi Zhuang; Jiayuan Luo (AAAI, 2025)

DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations. - Yongxin Xu; Xinke Jiang; Xu Chu; Rihong Qiu; Yujie Feng; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (AAAI, 2025)

HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses. - Xinke Jiang; Ruizhe Zhang 013; Yongxin Xu; Rihong Qiu; Yue Fang; Zhiyuan Wang; Jinyi Tang; Hongxin Ding; Xu Chu; Junfeng Zhao 001; Yasha Wang (ACL (1), 2025)

TC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems. - Xinke Jiang; Yue Fang; Rihong Qiu; Haoyu Zhang; Yongxin Xu; Hao Chen 103; Wentao Zhang 008; Ruizhe Zhang 013; Yuchen Fang 001; Xinyu Ma; Xu Chu; Junfeng Zhao 001; et al. (ACL (1), 2025)

Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning. - Yongxin Xu; Ruizhe Zhang 013; Xinke Jiang; Yujie Feng; Yuzhen Xiao; Xinyu Ma; Runchuan Zhu; Xu Chu; Junfeng Zhao 001; Yasha Wang (ACL (1), 2025)

Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective. - Yuchen Fang 001; Yuxuan Liang; Bo Hui 001; Zezhi Shao; Liwei Deng 001; Xu Liu 014; Xinke Jiang; Kai Zheng 001 (KDD (1), 2025)

GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation. - Runchuan Zhu; Xinke Jiang; Jiang Wu 003; Zhipeng Ma; Jiahe Song; Fengshuo Bai; Dahua Lin; Lijun Wu; Conghui He (NAACL (Findings), 2025)

STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization. - Haoyu Zhang; Wentao Zhang 008; Hao Miao 001; Xinke Jiang; Yuchen Fang 001; Yifan Zhang (CoRR, 2025)

ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs. - Hongxin Ding; Baixiang Huang; Yue Fang; Weibin Liao; Xinke Jiang; Zheng Li; Junfeng Zhao 001; Yasha Wang (CoRR, 2025)

Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance. - Yue Fang; Yuxin Guo; Jiaran Gao; Hongxin Ding; Xinke Jiang; Weibin Liao; Yongxin Xu; Yinghao Zhu; Zhibang Yang; Liantao Ma; Junfeng Zhao 001; Yasha Wang (CoRR, 2025)