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Ning Lu

Orcid: 0000-0003-2314-4536

Affiliations:
  • Hong Kong University of Science and Technology (HKUST), Sai Kung, Hong Kong
  • Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, China
  • Huawei Technologies Co., Ltd., TTE Lab, China


According to our database1, Ning Lu authored at least 16 papers between 2021 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
LLM-Driven Instance-Specific Heuristic Generation and Selection.
[BibTeX]
[DOI]
Shaofeng Zhang
,
Shengcai Liu
,
Ning Lu
,
Jiahao Wu
,
Ji Liu
,
Yew-Soon Ong
,
Ke Tang
CoRR, June, 2025

Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs.
[BibTeX]
[DOI]
Zhangying Feng
,
Qianglong Chen
,
Ning Lu
,
Yongqian Li
,
Siqi Cheng
,
Shuangmu Peng
,
Duyu Tang
,
Shengcai Liu
,
Zhirui Zhang
CoRR, May, 2025

SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models.
[BibTeX]
[DOI]
Zeyu Dai
,
Shengcai Liu
,
Rui He
,
Jiahao Wu
,
Ning Lu
,
Wenqi Fan
,
Qing Li
,
Ke Tang
CoRR, April, 2025

Hardware-Aware DNN Compression for Homogeneous Edge Devices.
[BibTeX]
[DOI]
Kunlong Zhang
,
Guiying Li
,
Ning Lu
,
Peng Yang
,
Ke Tang
CoRR, January, 2025

Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets.
[BibTeX]
[DOI]
Ning Lu
,
Shengcai Liu
,
Jiahao Wu
,
Weiyu Chen
,
Zhirui Zhang
,
Yew-Soon Ong
,
Qi Wang
,
Ke Tang
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Backdoor Graph Condensation.
[BibTeX]
[DOI]
Jiahao Wu
,
Ning Lu
,
Zeyu Dai
,
Kun Wang
,
Wenqi Fan
,
Shengcai Liu
,
Qing Li
,
Ke Tang
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024
Effective and Imperceptible Adversarial Textual Attack Via Multi-objectivization.
[BibTeX]
[DOI]
Shengcai Liu
,
Ning Lu
,
Wenjing Hong
,
Chao Qian
,
Ke Tang
ACM Trans. Evol. Learn. Optim., September, 2024

Large Language Models can be Guided to Evade AI-generated Text Detection.
[BibTeX]
[DOI]
Ning Lu
,
Shengcai Liu
,
Rui He
,
Yew-Soon Ong
,
Qi Wang
,
Ke Tang
Trans. Mach. Learn. Res., 2024

Training Overhead Ratio: A Practical Reliability Metric for Large Language Model Training Systems.
[BibTeX]
[DOI]
Ning Lu
,
Qian Xie
,
Hao Zhang
,
Wenyi Fang
,
Yang Zheng
,
Jiantao Ma
CoRR, 2024

Backdoor Graph Condensation.
[BibTeX]
[DOI]
Jiahao Wu
,
Ning Lu
,
Zeiyu Dai
,
Wenqi Fan
,
Shengcai Liu
,
Qing Li
,
Ke Tang
CoRR, 2024

Training Overhead Ratio: A Practical Reliability Metric for Large Language Model Training Systems.
[BibTeX]
[DOI]
Ning Lu
,
Qian Xie
,
Hao Zhang
,
Wenyi Fang
,
Yang Zheng
,
Zheng Hu
,
Jiantao Ma
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend.
[BibTeX]
[DOI]
Ning Lu
,
Shengcai Liu
,
Zhirui Zhang
,
Qi Wang
,
Haifeng Liu
,
Ke Tang
Proceedings of the IEEE Conference on Artificial Intelligence, 2024

2023
Large Language Models can be Guided to Evade AI-Generated Text Detection.
[BibTeX]
[DOI]
Ning Lu
,
Shengcai Liu
,
Rui He
,
Qi Wang
,
Ke Tang
CoRR, 2023

2022
Efficient Combinatorial Optimization for Word-Level Adversarial Textual Attack.
[BibTeX]
[DOI]
Shengcai Liu
,
Ning Lu
,
Cheng Chen
,
Ke Tang
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Training Quantized Deep Neural Networks via Cooperative Coevolution.
[BibTeX]
[DOI]
Fu Peng
,
Shengcai Liu
,
Ning Lu
,
Ke Tang
Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

2021
HydraText: Multi-objective Optimization for Adversarial Textual Attack.
[BibTeX]
[DOI]
Shengcai Liu
,
Ning Lu
,
Cheng Chen
,
Chao Qian
,
Ke Tang
CoRR, 2021


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