Ning Lu - RankMe

21 papers A* 2Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model. CoRR Jiahao Wu, Ning Lu, Shengcai Liu, Kun Wang, Yanting Yang, Li Qing, Ke Tang
2025	A*	`conf`	Backdoor Graph Condensation. ICDE Jiahao Wu, Ning Lu, Zeyu Dai, Kun Wang, Wenqi Fan, Shengcai Liu, Qing Li, Ke Tang
2025	J	`jnl`	Hardware-Aware DNN Compression for Homogeneous Edge Devices. CoRR Kunlong Zhang, Guiying Li, Ning Lu, Peng Yang, Ke Tang
2025	J	`jnl`	Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs. CoRR Zhangying Feng, Qianglong Chen, Ning Lu, Yongqian Li, Siqi Cheng, Shuangmu Peng, Duyu Tang, Shengcai Liu, Zhirui Zhang
2025	J	`jnl`	LLM-Driven Instance-Specific Heuristic Generation and Selection. CoRR Shaofeng Zhang, Shengcai Liu, Ning Lu, Jiahao Wu, Ji Liu, Yew-Soon Ong, Ke Tang
2025	A*	`conf`	Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets. ICML Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang
2025	J	`jnl`	Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets. CoRR Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang
2025	J	`jnl`	SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models. CoRR Zeyu Dai, Shengcai Liu, Rui He, Jiahao Wu, Ning Lu, Wenqi Fan, Qing Li, Ke Tang
2024	J	`jnl`	Backdoor Graph Condensation. CoRR Jiahao Wu, Ning Lu, Zeiyu Dai, Wenqi Fan, Shengcai Liu, Qing Li, Ke Tang
2024	J	`jnl`	Effective and Imperceptible Adversarial Textual Attack Via Multi-objectivization. ACM Trans. Evol. Learn. Optim. Shengcai Liu, Ning Lu, Wenjing Hong, Chao Qian, Ke Tang
2024	J	`jnl`	Large Language Models can be Guided to Evade AI-generated Text Detection. Trans. Mach. Learn. Res. Ning Lu, Shengcai Liu, Rui He, Yew-Soon Ong, Qi Wang, Ke Tang
2024	—	`conf`	Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend. CAI Ning Lu, Shengcai Liu, Zhirui Zhang, Qi Wang, Haifeng Liu, Ke Tang
2024	—	`conf`	Training Overhead Ratio: A Practical Reliability Metric for Large Language Model Training Systems. ISSRE (Workshops) Ning Lu, Qian Xie, Hao Zhang, Wenyi Fang, Yang Zheng, Zheng Hu, Jiantao Ma
2024	J	`jnl`	Training Overhead Ratio: A Practical Reliability Metric for Large Language Model Training Systems. CoRR Ning Lu, Qian Xie, Hao Zhang, Wenyi Fang, Yang Zheng, Jiantao Ma
2023	J	`jnl`	Large Language Models can be Guided to Evade AI-Generated Text Detection. CoRR Ning Lu, Shengcai Liu, Rui He, Qi Wang, Ke Tang
2023	J	`jnl`	Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend. CoRR Ning Lu, Shengcai Liu, Zhirui Zhang, Qi Wang, Haifeng Liu, Ke Tang
2022	J	`jnl`	Efficient Combinatorial Optimization for Word-Level Adversarial Textual Attack. IEEE ACM Trans. Audio Speech Lang. Process. Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang
2022	—	`conf`	Training Quantized Deep Neural Networks via Cooperative Coevolution. ICSI (2) Fu Peng, Shengcai Liu, Ning Lu, Ke Tang
2021	J	`jnl`	Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack. CoRR Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang
2021	J	`jnl`	HydraText: Multi-objective Optimization for Adversarial Textual Attack. CoRR Shengcai Liu, Ning Lu, Cheng Chen, Chao Qian, Ke Tang
2021	J	`jnl`	Training Quantized Deep Neural Networks via Cooperative Coevolution. CoRR Fu Peng, Shengcai Liu, Ning Lu, Ke Tang