Xinke Jiang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
9
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | 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, Yasha Wang |
| 2026 | AAAI | Adaptive Frequency Pathways for Spatiotemporal Forecasting. | Yanjun Qin, Yuchen Fang, Xinke Jiang, Hao Miao, Xiaoming Tao |
| 2026 | AAAI | Task-Aware Retrieval Augmentation for Dynamic Recommendation. | Zhen Tao, Xinke Jiang, Qingshuai Feng, Haoyu Zhang, Lun Du, Yuchen Fang, Hao Miao, Bangquan Xie, Qingqiang Sun |
| 2026 | ACL | ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs. | Hongxin Ding, Baixiang Huang, Yue Fang, Weibin Liao, Xinke Jiang, Jinyang Zhang, Yinghao Zhu, Zheng Li, Liantao Ma, Junfeng Zhao, Yasha Wang |
| 2026 | ACL | Trust Within? Seek Beyond? Knowledge Boundary Aware Policy Optimization for Agentic Search. | Tao Feng, Xinke Jiang, Xinyan Hu, Yonggang Zhang, Zhen Tao, Wentao Zhang, Boyang Liu, Wenhao Jiang, Chao Wu |
| 2026 | ACL | DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search. | Zhibang Yang, Xinke Jiang, Rihong Qiu, Ruiqing Li, Yihang Zhang, Yue Fang, Yongxin Xu, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2025 | AAAI | KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models. | Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2025 | AAAI | Time Series Supplier Allocation via Deep Black-Litterman Model. | Xinke Jiang, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Hao Chen, Haoyu Zhang, Dingyi Zhuang, Jiayuan Luo |
| 2025 | AAAI | 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, Yasha Wang, Bing Xie |
| 2025 | ACL | HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses. | Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2025 | ACL | TC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems. | 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 | ACL | Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning. | Yongxin Xu, Ruizhe Zhang, Xinke Jiang, Yujie Feng, Yuzhen Xiao, Xinyu Ma, Runchuan Zhu, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2025 | EMNLP | 3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection. | Hongxin Ding, Yue Fang, Runchuan Zhu, Xinke Jiang, Jinyang Zhang, Yongxin Xu, Weibin Liao, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2025 | ICML | Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation. | Rihong Qiu, Xinke Jiang, Yuchen Fang, Hongbin Lai, Hao Miao, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2025 | KDD | Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective. | Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng |
| 2025 | NAACL | GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation. | Runchuan Zhu, Xinke Jiang, Jiang Wu, Zhipeng Ma, Jiahe Song, Fengshuo Bai, Dahua Lin, Lijun Wu, Conghui He |
| 2024 | COLING | 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 |
| 2024 | KDD | ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup. | Yongxin Xu, Xinke Jiang, Xu Chu, Yuzhen Xiao, Chaohe Zhang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie |
| 2024 | WSDM | Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder. | Xinke Jiang, Zidi Qin, Jiarong Xu, Xiang Ao |
| 2023 | CIKM | 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 |
| 2022 | KDD | Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning. | Rongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, Fan Zhou |