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Journal Articles
- 2024
[j4]Yongxin Xu
, Xiaokai Guan, Wenqing Jiang, Xudong Wang, Weisheng Hu, Lilin Yi:
Low-complexity end-to-end deep learning framework for 100G-PON. J. Opt. Commun. Netw. 16(11): 1093-1103 (2024)- 2023
- [j3]Xiling Li, Chenkai Weng, Yongxin Xu, Xiao Wang, Jennie Rogers:
ZKSQL: Verifiable and Efficient Query Evaluation with Zero-Knowledge Proofs. Proc. VLDB Endow. 16(8): 1804-1816 (2023) - 2019
- [j2]Na Yan, Lei Ma, Yongxin Xu, Sizheng Chen, Xusong Liu, Junhui Xiang, Hao Min:
A Low Power All-Digital PLL With -40dBc In-Band Fractional Spur Suppression for NB-IoT Applications. IEEE Access 7: 7897-7904 (2019) - [j1]Wei Feng, Yongxin Xu, Xiaorong Xu, Mingxiong Zhao, Yingbiao Yao:
An Energy-Efficient and Fast Convergent Resource Allocation Algorithm in Distributed Wireless Ad Hoc Networks. IEEE Access 7: 17133-17148 (2019)
Conference and Workshop Papers
- 2024
- [c7]Yujie Feng, Xu Chu, Yongxin Xu, Guangyuan Shi, Bo Liu, Xiao-Ming Wu:
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation. ACL (1) 2024: 1266-1279 - [c6]Yongxin Xu, Shangshang Wang, Hengquan Guo, Xin Liu, Ziyu Shao:
Learning to Schedule Online Tasks with Bandit Feedback. AAMAS 2024: 1975-1983 - [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 - 2023
- [c4]Kai Yang, Yongxin Xu, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations. AAAI 2023: 5357-5365 - [c3]Yongxin Xu, Kai Yang, Chaohe Zhang, Peinie Zou, Zhiyuan Wang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data. IJCAI 2023: 4921-4929 - [c2]Yecheng Liu, Xu Chen, Yongxin Xu, Dong Xiang, Linjian Mo:
Accelerating Model Solving for Integrated Optimization of Timetabling and Vehicle Scheduling based on Graph Convolutional Network. ITSC 2023: 880-886 - [c1]Yongxin Xu, Xu Chu, Kai Yang, Zhiyuan Wang, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data. WWW 2023: 2819-2830
Informal and Other Publications
- 2024
- [i11]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) - [i10]Yongxin Xu, Shangshang Wang, Hengquan Guo, Xin Liu, Ziyu Shao:
Learning to Schedule Online Tasks with Bandit Feedback. CoRR abs/2402.16463 (2024) - [i9]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) - [i8]Yujie Feng, Xu Chu, Yongxin Xu, Zexin Lu, Bo Liu, Philip S. Yu, Xiao-Ming Wu:
TaSL: Task Skill Localization and Consolidation for Language Model Continual Learning. CoRR abs/2408.05200 (2024) - [i7]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) - [i6]Yujie Feng, Xu Chu, Yongxin Xu, Guangyuan Shi, Bo Liu, Xiao-Ming Wu:
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation. CoRR abs/2408.09857 (2024) - [i5]Zhihao Yu, Yujie Jin, Yongxin Xu, Xu Chu, Yasha Wang, Junfeng Zhao:
IntelliCare: Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models. CoRR abs/2408.13073 (2024) - [i4]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) - [i3]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) - [i2]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) - 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)
Coauthor Index
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