Weikang Zhou

According to our database1, Weikang Zhou authored at least 17 papers between 2017 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models.
CoRR, August, 2025

Beyond the Trade-off: Self-Supervised Reinforcement Learning for Reasoning Models' Instruction Following.
CoRR, August, 2025

Order Doesn't Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation.
CoRR, February, 2025

Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
In Situ Pipe Prover Volume Measurement Method.
Sensors, August, 2024

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study.
CoRR, 2024

EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models.
CoRR, 2024

2023
InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction.
CoRR, 2023

Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021
SALAD: Static Analyzer for Loop Acceleration by Exploiting DLP.
Proceedings of the HP3C 2021: 5th International Conference on High Performance Compilation, Computing and Communications, Guangzhou, China, June 18, 2021

LoopPara: an Architecture- Transparent Acceleration Framework for Loops by Exploiting Data-Level Parallelism.
Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021

2020
Learning-based Question Translation Performance Prediction.
Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

Highly Parallel SPARQL Engine for RDF.
Proceedings of the Data Science, 2020

2019
A bilayer image restoration for finger vein recognition.
Neurocomputing, 2019

2017
A diffusion optical model for skin scattering suppression in finger vein image restoration.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017


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