Physical modeling of electro-thermal domestic heating systems with quantification of economic and environmental costs. - Nicholas Good; Lingxi Zhang; Alejandro Navarro-Espinosa; Pierluigi Mancarella (EUROCON, 2013)

The role of power-to-transport via hydrogen and natural gas vehicles in decarbonising the power and transportation sector. - Stephen Clegg; Lingxi Zhang; Pierluigi Mancarella (ISGT Europe, 2017)

Siamese-Based BiLSTM Network for Scratch Source Code Similarity Measuring. - Lingxi Zhang; Zhiyong Feng; Wei Ren; Hong Luo (IWCMC, 2020)

Neural-Symbolic Reasoning on Knowledge Graphs. - Jing Zhang; Bo Chen; Lingxi Zhang; Xirui Ke; Haipeng Ding 002 (CoRR, 2020)

Neural, symbolic and neural-symbolic reasoning on knowledge graphs. - Jing Zhang; Bo Chen; Lingxi Zhang; Xirui Ke; Haipeng Ding 002 (AI Open, 2021)

Rapidly Decoding Image Categories From MEG Data Using a Multivariate Short-Time FC Pattern Analysis Approach. - Chunyu Liu; Yi Kang; Lingxi Zhang; Jiacai Zhang (IEEE J. Biomed. Health Informatics, 2021)

FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering. - Lingxi Zhang; Jing Zhang 001; Yanling Wang; Shulin Cao; Xinmei Huang; Cuiping Li 001; Hong Chen 001; Juanzi Li (ACL (1), 2023)

Research on Vegetation Parameter Inversion of Open-Pit Mines Based on Lidar Data. - Fengmin Wu; Zhipeng Zheng; Chao Yuan; Xiaocheng Zhang; Jing Yu; Lingxi Zhang; Zhuokun Li; Yixiao Li (IGARSS, 2023)

A survey on complex factual question answering. - Lingxi Zhang; Jing Zhang; Xirui Ke; Haoyang Li; Xinmei Huang; Zhonghui Shao; Shulin Cao; Xin Lv (AI Open, 2023)

ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling. - Lingxi Zhang; Yue Yu; Kuan Wang; Chao Zhang (ACL (1), 2024)

Open-World Semi-Supervised Learning for Node Classification. - Yanling Wang; Jing Zhang 001; Lingxi Zhang; Lixin Liu; Yuxiao Dong; Cuiping Li 001; Hong Chen 001; Hongzhi Yin (ICDE, 2024)

Research on Massive Inclined Data Loading Technique Based on Multi-Parameter Rendering. - Jieqi Yuan; Chao Yuan; Lin Li; Hongwen Zhou; Fengmin Wu; Lingxi Zhang; Yuxiang Chen (IGARSS, 2024)

ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling. - Lingxi Zhang; Yue Yu 001; Kuan Wang; Chao Zhang 014 (CoRR, 2024)

A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question Answering. - Lingxi Zhang; Jing Zhang 001; Yanling Wang; Cuiping Li 001; Hong Chen 001 (CoRR, 2024)

Equilibrium strategies for collective DC pension plans with a delayed retirement under 4/2 stochastic volatility model. - Lingxi Zhang; Moyan Chen; Wei Liu; Yijun Hu (Comput. Appl. Math., 2025)

Vidi: Large Multimodal Models for Video Understanding and Editing. - Vidi Team; Celong Liu; Chia-Wen Kuo; Dawei Du; Fan Chen; Guang Chen; Jiamin Yuan; Lingxi Zhang; Lu Guo; Lusha Li; Longyin Wen; Qingyu Chen; et al. (CoRR, 2025)