Nano/Microsatellite Universal Ground Station Design Based on SDR. - Bao-Shan Wang; Lihu Chen; Quan Chen (SINC, 2017)

One-channel Zero-IF Multi-mode GNSS Receiver with Self-adaptive Digitally-assisted Calibration. - Songting Li; Lihu Chen; Yong Zhao (ASICON, 2019)

A Lightweight Neural Model for Biomedical Entity Linking. - Lihu Chen; Gaël Varoquaux; Fabian M. Suchanek (AAAI, 2021)

Space-Based ADS-B Signal Time Support Estimation Method Based on Multi-stage Wiener Filter. - Aobo Luo; Lihu Chen; Sunquan Yu; Jiushun Ni; Songting Li (ICCT, 2021)

Imputing Out-of-Vocabulary Embeddings with LOVE Makes LanguageModels Robust with Little Cost. - Lihu Chen; Gaël Varoquaux; Fabian M. Suchanek (ACL (1), 2022)

Global Coverage Constellation Design for Internet of things using NSGAII Algorithm. - Junwei Cui; Lihu Chen; Sunquan Yu; Songting Li (BDIOT, 2022)

Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost. - Lihu Chen; Gaël Varoquaux; Fabian M. Suchanek (CoRR, 2022)

Satellite-based DBF ADS-B Payload with Amplitude-phase Mismatch Calibration. - Yiran Xiang; Songting Li; Lihu Chen (CECCT, 2023)

GLADIS: A General and Large Acronym Disambiguation Benchmark. - Lihu Chen; Gaël Varoquaux; Fabian M. Suchanek (EACL, 2023)

The Locality and Symmetry of Positional Encodings. - Lihu Chen; Gaël Varoquaux; Fabian M. Suchanek (EMNLP (Findings), 2023)

Knowledge Base Completion for Long-Tail Entities. - Lihu Chen; Simon Razniewski; Gerhard Weikum (CoRR, 2023)

Towards Efficient, General and RobustEntity Disambiguation Systems. (Vers des systèmes de ésambigüisation d'entités efficaces, généraux et robustes). - Lihu Chen (2023)

Learning High-Quality and General-Purpose Phrase Representations. - Lihu Chen; Gaël Varoquaux; Fabian M. Suchanek (EACL (Findings), 2024)

Reconfidencing LLMs from the Grouping Loss Perspective. - Lihu Chen; Alexandre Perez-Lebel; Fabian M. Suchanek; Gaël Varoquaux (EMNLP (Findings), 2024)

YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy. - Fabian M. Suchanek; Mehwish Alam; Thomas Bonald; Lihu Chen; Pierre-Henri Paris; Jules Soria (SIGIR, 2024)

Analyzing Key Neurons in Large Language Models. - Lihu Chen; Adam Dejl; Francesca Toni (CoRR, 2024)

What is the Role of Small Models in the LLM Era: A Survey. - Lihu Chen; Gaël Varoquaux (CoRR, 2024)

5S: Design and In-Orbit Demonstration of a Multifunctional Integrated Satellite-Based Internet of Things Payload. - Lihu Chen; Sunquan Yu; Quan Chen; Songting Li; Xiaoqian Chen; Yong Zhao (IEEE Internet Things J., 2024)

Hybrid Multi-Access Method for Space-Based IoT: Adaptive Bandwidth Allocation and Beam Layout Based on User Distribution. - Qingquan Liu; Lihu Chen; Songting Li; Yiran Xiang (Sensors, 2024)

Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts. - Lihu Chen; Adam Dejl; Francesca Toni (AAAI, 2025)

Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK). - Genet Asefa Gesese; Harald Sack; Heiko Paulheim; Albert Meroño-Peñuela; Lihu Chen (COLING Workshops, 2025)

Pub-Guard-LLM: Detecting Fraudulent Biomedical Articles with Reliable Explanations. - Lihu Chen; Shuojie Fu; Gabriel Freedman; Guy Martin; James Kinross; Uddhav Vaghela; Ovidiu Serban; Francesca Toni (CoRR, 2025)

Query-Level Uncertainty in Large Language Models. - Lihu Chen; Gaël Varoquaux (CoRR, 2025)

A novel frequency-protection interval adjustment method based on Doppler frequency offset pre-compensation for space-based Internet of Things. - Qingquan Liu; Lihu Chen; Songting Li; Yiran Xiang; Baokang Zhao (Frontiers Inf. Technol. Electron. Eng., 2025)