HydraText: Multi-objective Optimization for Adversarial Textual Attack. - Shengcai Liu; Ning Lu 006; Cheng Chen; Chao Qian 001; Ke Tang 001 (CoRR, 2021)

Training Quantized Deep Neural Networks via Cooperative Coevolution. - Fu Peng; Shengcai Liu; Ning Lu 006; Ke Tang 001 (ICSI (2), 2022)

Efficient Combinatorial Optimization for Word-Level Adversarial Textual Attack. - Shengcai Liu; Ning Lu 006; Cheng Chen; Ke Tang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend. - Ning Lu 006; Shengcai Liu; Zhirui Zhang; Qi Wang; Haifeng Liu; Ke Tang 001 (CoRR, 2023)

Large Language Models can be Guided to Evade AI-Generated Text Detection. - Ning Lu 006; Shengcai Liu; Rui He; Qi Wang; Ke Tang 001 (CoRR, 2023)

Training Overhead Ratio: A Practical Reliability Metric for Large Language Model Training Systems. - Ning Lu 006; Qian Xie; Hao Zhang; Wenyi Fang; Yang Zheng; Zheng Hu; Jiantao Ma (ISSRE (Workshops), 2024)

Backdoor Graph Condensation. - Jiahao Wu 004; Ning Lu 006; Zeiyu Dai; Wenqi Fan; Shengcai Liu; Qing Li 001; Ke Tang 001 (CoRR, 2024)

Training Overhead Ratio: A Practical Reliability Metric for Large Language Model Training Systems. - Ning Lu 006; Qian Xie; Hao Zhang; Wenyi Fang; Yang Zheng; Jiantao Ma (CoRR, 2024)

Large Language Models can be Guided to Evade AI-generated Text Detection. - Ning Lu 006; Shengcai Liu; Rui He; Yew-Soon Ong; Qi Wang; Ke Tang 001 (Trans. Mach. Learn. Res., 2024)

Effective and Imperceptible Adversarial Textual Attack Via Multi-objectivization. - Shengcai Liu; Ning Lu 006; Wenjing Hong; Chao Qian 001; Ke Tang 001 (ACM Trans. Evol. Learn. Optim., 2024)

Backdoor Graph Condensation. - Jiahao Wu 004; Ning Lu 006; Zeyu Dai 001; Kun Wang 056; Wenqi Fan; Shengcai Liu; Qing Li 001; Ke Tang 001 (ICDE, 2025)

Hardware-Aware DNN Compression for Homogeneous Edge Devices. - Kunlong Zhang; Guiying Li; Ning Lu 006; Peng Yang 008; Ke Tang 001 (CoRR, 2025)

SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models. - Zeyu Dai 001; Shengcai Liu; Rui He; Jiahao Wu 004; Ning Lu 006; Wenqi Fan; Qing Li 001; Ke Tang 001 (CoRR, 2025)

Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs. - Zhangying Feng; Qianglong Chen; Ning Lu 006; Yongqian Li; Siqi Cheng; Shuangmu Peng; Duyu Tang; Shengcai Liu; Zhirui Zhang (CoRR, 2025)

Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets. - Ning Lu 006; Shengcai Liu; Jiahao Wu 004; Weiyu Chen; Zhirui Zhang; Yew-Soon Ong; Qi Wang; Ke Tang 001 (CoRR, 2025)

LLM-Driven Instance-Specific Heuristic Generation and Selection. - Shaofeng Zhang; Shengcai Liu; Ning Lu 006; Jiahao Wu 004; Ji Liu; Yew-Soon Ong; Ke Tang 001 (CoRR, 2025)