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Lingxi Zhang
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2020 – today
- 2024
- [c8]Lingxi Zhang, Yue Yu, Kuan Wang, Chao Zhang:
ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling. ACL (1) 2024: 3708-3719 - [c7]Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin:
Open-World Semi-Supervised Learning for Node Classification. ICDE 2024: 2723-2736 - [c6]Jieqi Yuan, Chao Yuan, Lin Li, Hongwen Zhou, Fengmin Wu, Lingxi Zhang, Yuxiang Chen:
Research on Massive Inclined Data Loading Technique Based on Multi-Parameter Rendering. IGARSS 2024: 4628-4630 - [i5]Lingxi Zhang, Yue Yu, Kuan Wang, Chao Zhang:
ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling. CoRR abs/2402.13542 (2024) - [i4]Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin:
Open-World Semi-Supervised Learning for Node Classification. CoRR abs/2403.11483 (2024) - [i3]Lingxi Zhang, Jing Zhang, Yanling Wang, Cuiping Li, Hong Chen:
A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question Answering. CoRR abs/2406.14763 (2024) - 2023
- [j3]Lingxi Zhang, Jing Zhang, Xirui Ke, Haoyang Li, Xinmei Huang, Zhonghui Shao, Shulin Cao, Xin Lv:
A survey on complex factual question answering. AI Open 4: 1-12 (2023) - [c5]Lingxi Zhang, Jing Zhang, Yanling Wang, Shulin Cao, Xinmei Huang, Cuiping Li, Hong Chen, Juanzi Li:
FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering. ACL (1) 2023: 1002-1017 - [c4]Fengmin Wu, Zhipeng Zheng, Chao Yuan, Xiaocheng Zhang, Jing Yu, Lingxi Zhang, Zhuokun Li, Yixiao Li:
Research on Vegetation Parameter Inversion of Open-Pit Mines Based on Lidar Data. IGARSS 2023: 3221-3224 - [i2]Lingxi Zhang, Jing Zhang, Yanling Wang, Shulin Cao, Xinmei Huang, Cuiping Li, Hong Chen, Juanzi Li:
FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering. CoRR abs/2306.14722 (2023) - 2021
- [j2]Jing Zhang, Bo Chen, Lingxi Zhang, Xirui Ke, Haipeng Ding:
Neural, symbolic and neural-symbolic reasoning on knowledge graphs. AI Open 2: 14-35 (2021) - [j1]Chunyu Liu, Yi Kang, Lingxi Zhang, Jiacai Zhang:
Rapidly Decoding Image Categories From MEG Data Using a Multivariate Short-Time FC Pattern Analysis Approach. IEEE J. Biomed. Health Informatics 25(4): 1139-1150 (2021) - 2020
- [c3]Lingxi Zhang, Zhiyong Feng, Wei Ren, Hong Luo:
Siamese-Based BiLSTM Network for Scratch Source Code Similarity Measuring. IWCMC 2020: 1800-1805 - [i1]Jing Zhang, Bo Chen, Lingxi Zhang, Xirui Ke, Haipeng Ding:
Neural-Symbolic Reasoning on Knowledge Graphs. CoRR abs/2010.05446 (2020)
2010 – 2019
- 2017
- [c2]Stephen Clegg, Lingxi Zhang, Pierluigi Mancarella:
The role of power-to-transport via hydrogen and natural gas vehicles in decarbonising the power and transportation sector. ISGT Europe 2017: 1-6 - 2013
- [c1]Nicholas Good, Lingxi Zhang, Alejandro Navarro-Espinosa, Pierluigi Mancarella:
Physical modeling of electro-thermal domestic heating systems with quantification of economic and environmental costs. EUROCON 2013: 1164-1171
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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