Zhenyu Li

Orcid: 0009-0006-4964-9910

Affiliations:
  • Tsinghua University, Department of Computer Science, Beijing, China


According to our database1, Zhenyu Li authored at least 20 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Maximum Score Routing For Mixture-of-Experts.
CoRR, August, 2025

Efficient Attention Mechanisms for Large Language Models: A Survey.
CoRR, July, 2025

COMM:Concentrated Margin Maximization for Robust Document-Level Relation Extraction.
CoRR, March, 2025

TROI: Cross-Subject Pretraining with Sparse Voxel Selection for Enhanced fMRI Visual Decoding.
CoRR, February, 2025

FORA: An Efficient One-for-All Cross-Task Reasoning Framework for Financial Domain via LLMs.
Proceedings of the Web Information Systems Engineering - WISE 2025 PhD Symposium, Demos and Workshops, 2025

TROI: Cross-Subject Pretraining with Sparse Voxel Selection for Enhanced fMRI Visual Decoding.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

FocusLLM: Precise Understanding of Long Context by Dynamic Condensing.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Maximum Score Routing For Mixture-of-Experts.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework.
IEEE Trans. Knowl. Data Eng., December, 2024

FocusLLM: Scaling LLM's Context by Parallel Decoding.
CoRR, 2024

UniMem: Towards a Unified View of Long-Context Large Language Models.
CoRR, 2024

Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Toward a Unified Framework for Unsupervised Complex Tabular Reasoning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Effective Few-Shot Named Entity Linking by Meta-Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Jointly Modeling Fact Triples and Text Information for Knowledge Base Completion.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Bridging the Language Gap: Knowledge Injected Multilingual Question Answering.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021


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