Taojie Zhu

Orcid: 0009-0009-2640-412X

According to our database1, Taojie Zhu authored at least 15 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Toward Emotion-Preserving Speech Semantic Communication in Affective Social Systems.
IEEE Trans. Comput. Soc. Syst., June, 2026

On-Policy Replay for Continual Supervised Fine-Tuning.
CoRR, May, 2026

From Knowing to Doing: A Memory-Controlled Benchmark for LLM Trading Agents on Stock Markets.
CoRR, May, 2026

Bridging SFT and RL: Dynamic Policy Optimization for Robust Reasoning.
CoRR, April, 2026

Full Index Mapping Multi-Domain AFDM-IM for High-Mobility Communications.
IEEE Commun. Lett., 2026

2025
From Generic to Specialized: A Subspecialty Diagnostic System Powered by Self-Supervised Learning for Cervical Histopathology.
CoRR, October, 2025

YpathRAG:A Retrieval-Augmented Generation Framework and Benchmark for Pathology.
CoRR, October, 2025

Deterministic Scheduling for Asymmetric Flows in Future Wireless Networks.
Symmetry, 2025

Document-level relation extraction via dual attention fusion and dynamic asymmetric loss.
Complex Intell. Syst., 2025

2024
Enhancing cross-evidence reasoning graph for document-level relation extraction.
PeerJ Comput. Sci., 2024

Paper Recommendation Using SPECTER with Low-Rank and Sparse Matrix Factorization.
KSII Trans. Internet Inf. Syst., 2024

Enhancing Document-Level Relation Extraction with Entity Pronoun Resolution and Relation Correlation.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

2023
Mining heuristic evidence sentences for more interpretable document-level relation extraction.
J. King Saud Univ. Comput. Inf. Sci., July, 2023

CLGR-Net: a collaborative local-global reasoning network for document-level relation extraction.
J. Supercomput., March, 2023

Multi-perspective context aggregation for document-level relation extraction.
Appl. Intell., March, 2023


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