Bingzhi Li

Orcid: 0000-0002-1270-9207

According to our database1, Bingzhi Li authored at least 11 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
3D Magnetic Field Reconstruction and Mapping with Physics-Informed Neural Networks.
CoRR, May, 2026

A Novel Metabolic Pathway Design Method Based on Evolutionary Algorithms and Metabolic Network Evaluation.
J. Chem. Inf. Model., 2026

2025
CECLD: Classification error correction based on Levenshtein distance in DNA data storage.
Expert Syst. Appl., 2025

2024
Explorer: efficient DNA coding by De Bruijn graph toward arbitrary local and global biochemical constraints.
Briefings Bioinform., September, 2024

2023
MooSeeker: A Metabolic Pathway Design Tool Based on Multi-Objective Optimization Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Assessing the Capacity of Transformer to Abstract Syntactic Representations: A Contrastive Analysis Based on Long-distance Agreement.
Trans. Assoc. Comput. Linguistics, 2023

SLOG: A Structural Generalization Benchmark for Semantic Parsing.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Les représentations distribuées sont-elles vraiment distribuées ? Observations sur la localisation de l'information syntaxique dans les tâches d'accord du verbe en français (How Distributed are Distributed Representations ? An Observation on the Locality of Syntactic).
Proceedings of the Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2022

How Distributed are Distributed Representations? An Observation on the Locality of Syntactic Information in Verb Agreement Tasks.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Are Transformers a Modern Version of ELIZA? Observations on French Object Verb Agreement.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Are Neural Networks Extracting Linguistic Properties or Memorizing Training Data? An Observation with a Multilingual Probe for Predicting Tense.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021


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