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ORCIDNing Lu 0006
Person information
- unicode name: 卢宁
- affiliation: Hong Kong University of Science and Technology (HKUST), Sai Kung, Hong Kong
- affiliation: Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, China
- affiliation: Huawei Technologies Co., Ltd., TTE Lab, China
Other persons with the same name
- Ning Lu — disambiguation page
- Ning Lu 0001
![[0000-0002-2141-0653]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2141-0653")
— Queen's University, Department of Electrical and Computer Engineering, Kingston, ON, Canada (and 2 more) - Ning Lu 0002 — North Carolina State University, Department of Electrical Computer Engineering, Raleigh, NC, USA
- Ning Lu 0003 — Huawei Technologies, Shenzhen, China (and 1 more)
- Ning Lu 0004 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China (and 1 more)
- Ning Lu 0005 — Xidian University, Xi'an, China (and 1 more)
- Ning Lu 0007 — University of Technology Sydney, Faculty of Engineering and Information Technology, Sydney, NSW, Australia
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2020 – today
- 2025
[i12]Kunlong Zhang, Guiying Li, Ning Lu, Peng Yang, Ke Tang:
Hardware-Aware DNN Compression for Homogeneous Edge Devices. CoRR abs/2501.15240 (2025)- [i11]Zeyu Dai, Shengcai Liu, Rui He, Jiahao Wu, Ning Lu, Wenqi Fan, Qing Li, Ke Tang:
SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models. CoRR abs/2504.11923 (2025) - [i10]Zhangying Feng, Qianglong Chen, Ning Lu, Yongqian Li, Siqi Cheng, Shuangmu Peng, Duyu Tang, Shengcai Liu, Zhirui Zhang:
Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs. CoRR abs/2505.11227 (2025) - [i9]Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang:
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets. CoRR abs/2505.12038 (2025) - [i8]Shaofeng Zhang, Shengcai Liu, Ning Lu, Jiahao Wu, Ji Liu, Yew-Soon Ong, Ke Tang:
LLM-Driven Instance-Specific Heuristic Generation and Selection. CoRR abs/2506.00490 (2025) - 2024
- [j3]Shengcai Liu, Ning Lu, Wenjing Hong, Chao Qian, Ke Tang:
Effective and Imperceptible Adversarial Textual Attack Via Multi-objectivization. ACM Trans. Evol. Learn. Optim. 4(3): 16:1-16:23 (2024) - [j2]Ning Lu, Shengcai Liu, Rui He, Yew-Soon Ong, Qi Wang, Ke Tang:
Large Language Models can be Guided to Evade AI-generated Text Detection. Trans. Mach. Learn. Res. 2024 (2024) - [c2]Ning Lu, Qian Xie, Hao Zhang, Wenyi Fang, Yang Zheng, Zheng Hu, Jiantao Ma:
Training Overhead Ratio: A Practical Reliability Metric for Large Language Model Training Systems. ISSRE (Workshops) 2024: 391-393 - [i7]Jiahao Wu, Ning Lu, Zeiyu Dai, Wenqi Fan, Shengcai Liu, Qing Li, Ke Tang:
Backdoor Graph Condensation. CoRR abs/2407.11025 (2024) - [i6]Ning Lu, Qian Xie, Hao Zhang, Wenyi Fang, Yang Zheng, Jiantao Ma:
Training Overhead Ratio: A Practical Reliability Metric for Large Language Model Training Systems. CoRR abs/2408.07482 (2024) - 2023
- [i5]Ning Lu, Shengcai Liu, Zhirui Zhang, Qi Wang, Haifeng Liu, Ke Tang:
Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend. CoRR abs/2302.02568 (2023) - [i4]Ning Lu, Shengcai Liu, Rui He, Qi Wang, Ke Tang:
Large Language Models can be Guided to Evade AI-Generated Text Detection. CoRR abs/2305.10847 (2023) - 2022
- [j1]Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang:
Efficient Combinatorial Optimization for Word-Level Adversarial Textual Attack. IEEE ACM Trans. Audio Speech Lang. Process. 30: 98-111 (2022) - [c1]Fu Peng, Shengcai Liu, Ning Lu, Ke Tang:
Training Quantized Deep Neural Networks via Cooperative Coevolution. ICSI (2) 2022: 81-93 - 2021
- [i3]Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang:
Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack. CoRR abs/2109.02229 (2021) - [i2]Shengcai Liu, Ning Lu, Cheng Chen, Chao Qian, Ke Tang:
HydraText: Multi-objective Optimization for Adversarial Textual Attack. CoRR abs/2111.01528 (2021) - [i1]Fu Peng, Shengcai Liu, Ning Lu, Ke Tang:
Training Quantized Deep Neural Networks via Cooperative Coevolution. CoRR abs/2112.14834 (2021)
Coauthor Index
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