Huanran Zheng

Orcid: 0009-0005-6261-6702

According to our database1, Huanran Zheng authored at least 14 papers between 2022 and 2025.

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

Timeline

Legend:

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Links

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Bibliography

2025
TS-HTFA: Advancing Time-Series Forecasting via Hierarchical Text-Free Alignment with Large Language Models.
Symmetry, 2025

Faster Speculative Decoding via Effective Draft Decoder with Pruned Candidate Tree.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications.
CoRR, 2024

TS-TCD: Triplet-Level Cross-Modal Distillation for Time-Series Forecasting Using Large Language Models.
CoRR, 2024

TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine.
CoRR, 2024

NAT4AT: Using Non-Autoregressive Translation Makes Autoregressive Translation Faster and Better.
Proceedings of the ACM on Web Conference 2024, 2024

Advancing ITS Applications with LLMs: A Survey on Traffic Management, Transportation Safety, and Autonomous Driving.
Proceedings of the Rough Sets - International Joint Conference, 2024

SCA: Selective Compression Attention for Efficiently Extending the Context Window of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Chimera Model of Candidate Soups for Non-Autoregressive Translation.
Proceedings of the Database Systems for Advanced Applications, 2024

Filter-GLAT: Filter Glanced Decoder Output for Non-autoregressive Transformer.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023
PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain.
CoRR, 2023

2022
Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Survey on Spatiotemporal Data Processing Techniques in Smart Urban Rail.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022


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