Xinke Jiang - RankMe

42 papers A* 11A 2Journal 22Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Adaptive Frequency Pathways for Spatiotemporal Forecasting. AAAI Yanjun Qin, Yuchen Fang, Xinke Jiang, Hao Miao, Xiaoming Tao
2026	J	`jnl`	StackPlanner: A Centralized Hierarchical Multi-Agent System with Task-Experience Memory Management. CoRR Ruizhe Zhang, Xinke Jiang, Zhibang Yang, Zhixin Zhang, Jiaran Gao, Yuzhen Xiao, Hongbin Lai, Xu Chu, Junfeng Zhao, Yasha Wang
2026	A*	`conf`	Task-Aware Retrieval Augmentation for Dynamic Recommendation. AAAI Zhen Tao, Xinke Jiang, Qingshuai Feng, Haoyu Zhang, Lun Du, Yuchen Fang, Hao Miao, Bangquan Xie, Qingqiang Sun
2026	A*	`conf`	Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance. AAAI Yue Fang, Yuxin Guo, Jiaran Gao, Hongxin Ding, Xinke Jiang, Weibin Liao, Yongxin Xu, Yinghao Zhu, Zhibang Yang, Liantao Ma, Junfeng Zhao, Yasha Wang
2025	A*	`conf`	3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection. EMNLP Hongxin Ding, Yue Fang, Runchuan Zhu, Xinke Jiang, Jinyang Zhang, Yongxin Xu, Weibin Liao, Xu Chu, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	Bridging Global Intent with Local Details: A Hierarchical Representation Approach for Semantic Validation in Text-to-SQL. CoRR Rihong Qiu, Zhibang Yang, Xinke Jiang, Weibin Liao, Xin Gao, Xu Chu, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search. CoRR Zhibang Yang, Xinke Jiang, Rihong Qiu, Ruiqing Li, Yihang Zhang, Yue Fang, Yongxin Xu, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang
2025	A*	`conf`	DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations. AAAI Yongxin Xu, Xinke Jiang, Xu Chu, Rihong Qiu, Yujie Feng, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie
2025	A*	`conf`	Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation. ICML Rihong Qiu, Xinke Jiang, Yuchen Fang, Hongbin Lai, Hao Miao, Xu Chu, Junfeng Zhao, Yasha Wang
2025	—	`conf`	Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective. KDD (1) Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng
2025	—	`conf`	GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation. NAACL (Findings) Runchuan Zhu, Xinke Jiang, Jiang Wu, Zhipeng Ma, Jiahe Song, Fengshuo Bai, Dahua Lin, Lijun Wu, Conghui He
2025	—	`conf`	HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses. ACL (1) Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang
2025	A*	`conf`	KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models. AAAI Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang
2025	—	`conf`	Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning. ACL (1) Yongxin Xu, Ruizhe Zhang, Xinke Jiang, Yujie Feng, Yuzhen Xiao, Xinyu Ma, Runchuan Zhu, Xu Chu, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs. CoRR Hongxin Ding, Baixiang Huang, Yue Fang, Weibin Liao, Xinke Jiang, Zheng Li, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization. CoRR Haoyu Zhang, Wentao Zhang, Hao Miao, Xinke Jiang, Yuchen Fang, Yifan Zhang
2025	—	`conf`	TC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems. ACL (1) Xinke Jiang, Yue Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xinyu Ma, Xu Chu, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	Task-Aware Retrieval Augmentation for Dynamic Recommendation. CoRR Zhen Tao, Xinke Jiang, Qingshuai Feng, Haoyu Zhang, Lun Du, Yuchen Fang, Hao Miao, Bangquan Xie, Qingqiang Sun
2025	A*	`conf`	Time Series Supplier Allocation via Deep Black-Litterman Model. AAAI Xinke Jiang, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Hao Chen, Haoyu Zhang, Dingyi Zhuang, Jiayuan Luo
2025	J	`jnl`	Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance. CoRR Yue Fang, Yuxin Guo, Jiaran Gao, Hongxin Ding, Xinke Jiang, Weibin Liao, Yongxin Xu, Yinghao Zhu, Zhibang Yang, Liantao Ma, Junfeng Zhao, Yasha Wang
2024	J	`jnl`	3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical Domain Adaptation. CoRR Hongxin Ding, Yue Fang, Runchuan Zhu, Xinke Jiang, Jinyang Zhang, Yongxin Xu, Xu Chu, Junfeng Zhao, Yasha Wang
2024	J	`jnl`	CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks. CoRR Yifan Duan, Guibin Zhang, Shilong Wang, Xiaojiang Peng, Ziqi Wang, Junyuan Mao, Hao Wu, Xinke Jiang, Kun Wang
2024	J	`jnl`	Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective. CoRR Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng
2024	—	`conf`	FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis. LREC/COLING Songhua Yang, Xinke Jiang, Hanjie Zhao, Wenxuan Zeng, Hongde Liu, Yuxiang Jia
2024	J	`jnl`	FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis. CoRR Songhua Yang, Xinke Jiang, Hanjie Zhao, Wenxuan Zeng, Hongde Liu, Yuxiang Jia
2024	A	`conf`	Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder. WSDM Xinke Jiang, Zidi Qin, Jiarong Xu, Xiang Ao
2024	J	`jnl`	Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation. CoRR Ruizhe Zhang, Xinke Jiang, Yuchen Fang, Jiayuan Luo, Yongxin Xu, Yichen Zhu, Xu Chu, Junfeng Zhao, Yasha Wang
2024	J	`jnl`	KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models. CoRR Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang
2024	J	`jnl`	Kuaiji: the First Chinese Accounting Large Language Model. CoRR Jiayuan Luo, Songhua Yang, Xiaoling Qiu, Panyu Chen, Yufei Nai, Wenxuan Zeng, Wentao Zhang, Xinke Jiang
2024	J	`jnl`	Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning. CoRR Yongxin Xu, Ruizhe Zhang, Xinke Jiang, Yujie Feng, Yuzhen Xiao, Xinyu Ma, Runchuan Zhu, Xu Chu, Junfeng Zhao, Yasha Wang
2024	A*	`conf`	ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup. KDD Yongxin Xu, Xinke Jiang, Xu Chu, Yuzhen Xiao, Chaohe Zhang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie
2024	A*	`conf`	RAGraph: A General Retrieval-Augmented Graph Learning Framework. NeurIPS Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Chu Xu, Junfeng Zhao, Yasha Wang
2024	J	`jnl`	RAGraph: A General Retrieval-Augmented Graph Learning Framework. CoRR Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang
2024	J	`jnl`	TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems. CoRR Xinke Jiang, Yue Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang
2024	J	`jnl`	Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model. CoRR Jiayuan Luo, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Dingyi Zhuang, Hao Chen, Xinke Jiang
2023	J	`jnl`	Spatiotemporal Graph Neural Networks with Uncertainty Quantification for Traffic Incident Risk Prediction. CoRR Xiaowei Gao, Xinke Jiang, Dingyi Zhuang, Huanfa Chen, Shenhao Wang, James Haworth
2023	J	`jnl`	Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models. CoRR Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang
2023	—	`conf`	Uncertainty Quantification in the Road-Level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN) (Short Paper). GIScience Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang
2023	J	`jnl`	Uncertainty Quantification in the Road-level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN). CoRR Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang
2023	A	`conf`	Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction. CIKM Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao
2023	J	`jnl`	Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction. CoRR Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao
2022	A*	`conf`	Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning. KDD Rongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, Fan Zhou