Weikang Zhou

Orcid: 0009-0003-8595-534X

According to our database1, Weikang Zhou authored at least 23 papers between 2017 and 2026.

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Bibliography

2026
FGAT: A states labeling method with Fuzzy Graph Attention Network for industrial protocol reverse engineering.
Adv. Eng. Informatics, 2026

2025
Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution.
CoRR, December, 2025

Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following.
CoRR, October, 2025

Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking.
CoRR, September, 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

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 Doesn't Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From Mistakes.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 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

Multi-Programming Language Sandbox for LLMs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 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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