Shengcai Liu - RankMe

79 papers A* 6A 3B 3Journal 63Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-Objective Evolutionary Optimization of Chance-Constrained Multiple-Choice Knapsack Problems with Implicit Probability Distributions. CoRR Xuanfeng Li, Shengcai Liu, Wenjie Chen, Yew-Soon Ong, Ke Tang
2026	J	`jnl`	OD-DEAL: Dynamic Expert-Guided Adversarial Learning with Online Decomposition for Scalable Capacitated Vehicle Routing. CoRR Dongbin Jiao, Zisheng Chen, Xianyi Wang, Jintao Shi, Shengcai Liu, Shi Yan
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	J	`jnl`	A Novel Population Initialization Method via Adaptive Experience Transfer for General-Purpose Binary Evolutionary Optimization. CoRR Zhiyuan Wang, Shengcai Liu, Shaofeng Zhang, 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	A	`conf`	Cascaded Large-Scale TSP Solving with Unified Neural Guidance: Bridging Local and Population-Based Search. ECAI Haoze Lv, Wenjie Chen, Zhiyuan Wang, Shengcai Liu
2025	J	`jnl`	Cascaded Large-Scale TSP Solving with Unified Neural Guidance: Bridging Local and Population-based Search. CoRR Shengcai Liu, Haoze Lv, Zhiyuan Wang, Ke Tang
2025	A*	`conf`	Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation (Extended Abstract). ICDE Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang
2025	J	`jnl`	Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation. IEEE Trans. Knowl. Data Eng. Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang
2025	J	`jnl`	Domain-Agnostic Co-Evolution of Generalizable Parallel Algorithm Portfolios. CoRR Zhiyuan Wang, Shengcai Liu, Peng Yang, Ke Tang
2025	J	`jnl`	From Linear to Hierarchical: Evolving Tree-structured Thoughts for Efficient Alpha Mining. CoRR Junji Ren, Junjie Zhao, Shengcai Liu, Peng Yang
2025	J	`jnl`	Hybrid Memetic Search for Electric Vehicle Routing With Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges. IEEE Trans. Emerg. Top. Comput. Intell. Zubin Zheng, Shengcai Liu, Yew-Soon Ong
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`	Knowledge-Guided Memetic Algorithm for Capacitated Arc Routing Problems with Time-Dependent Service Costs. CoRR Qingya Li, Shengcai Liu, Wenjie Chen, Juan Zou, Ke Tang, Xin Yao
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	—	`conf`	Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation. WWW (Companion Volume) Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang
2025	J	`jnl`	Memetic Search for Green Vehicle Routing Problem with Private Capacitated Refueling Stations. CoRR Rui Xu, Xing Fan, Shengcai Liu, Wenjie Chen, Ke Tang
2025	J	`jnl`	Neural Influence Estimator: Towards Real-Time Solutions to Influence Blocking Maximization. IEEE Trans. Comput. Soc. Syst. Wenjie Chen, Shengcai Liu, Yew-Soon Ong, Li Zhuang, Ke Tang
2025	J	`jnl`	Personalized Treatment Outcome Prediction from Scarce Data via Dual-Channel Knowledge Distillation and Adaptive Fusion. CoRR Wenjie Chen, Li Zhuang, Ziying Luo, Yu Liu, Jiahao Wu, Shengcai Liu
2025	J	`jnl`	Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models. CoRR Ren-Jian Wang, Ke Xue, Zeyu Qin, Ziniu Li, Sheng Tang, Hao-Tian Li, Shengcai Liu, Chao Qian
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`	Scalable Structure Learning of Bayesian Networks by Learning Algorithm Ensembles. CoRR Shengcai Liu, Hui Ouyang, Zhiyuan Wang, Cheng Chen, Qijun Cai, Yew-Soon Ong, 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`	Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications. IEEE Trans. Cybern. Xuanfeng Li, Shengcai Liu, Jin Wang, Xiao Chen, Yew-Soon Ong, Ke Tang
2024	J	`jnl`	Datastore Distillation for Nearest Neighbor Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. Yuhan Dai, Zhirui Zhang, Yichao Du, Shengcai Liu, Lemao Liu, Tong Xu
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`	Hybrid Memetic Search for Electric Vehicle Routing with Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges. CoRR Zubin Zheng, Shengcai Liu, Yew-Soon Ong
2024	B	`conf`	Large Language Models as Evolutionary Optimizers. CEC Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong
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	J	`jnl`	Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization. CoRR Shengcai Liu, Zhiyuan Wang, Yew-Soon Ong, Xin Yao, 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	J	`jnl`	Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. CoRR Yongfan Lu, Zixiang Di, Bingdong Li, Shengcai Liu, Hong Qian, Peng Yang, Ke Tang, Aimin Zhou
2023	J	`jnl`	A Population Cooperation based Particle Swarm Optimization algorithm for large-scale multi-objective optimization. Swarm Evol. Comput. Yongfan Lu, Bingdong Li, Shengcai Liu, Aimin Zhou
2023	—	`conf`	A Sample Reuse Strategy for Dynamic Influence Maximization Problem. BIC-TA (2) Shaofeng Zhang, Shengcai Liu, Ke Tang
2023	J	`jnl`	A Sample Reuse Strategy for Dynamic Influence Maximization Problem. CoRR Shaofeng Zhang, Shengcai Liu, Ke Tang
2023	J	`jnl`	Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications. CoRR Xuanfeng Li, Shengcai Liu, Jin Wang, Xiao Chen, Yew-Soon Ong, Ke Tang
2023	J	`jnl`	Dataset Condensation for Recommendation. CoRR Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang
2023	J	`jnl`	Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling. CoRR Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Qing Li, Ke Tang
2023	J	`jnl`	How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem. IEEE Comput. Intell. Mag. Shengcai Liu, Yu Zhang, Ke Tang, Xin Yao
2023	J	`jnl`	Large Language Models as Evolutionary Optimizers. CoRR Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong
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
2023	J	`jnl`	Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation. CoRR Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang
2023	J	`jnl`	Multi-Domain Active Learning: Literature Review and Comparative Study. IEEE Trans. Emerg. Top. Comput. Intell. Rui He, Shengcai Liu, Shan He, Ke Tang
2023	J	`jnl`	Multi-Domain Learning From Insufficient Annotations. CoRR Rui He, Shengcai Liu, Jiahao Wu, Shan He, Ke Tang
2023	A	`conf`	Multi-Domain Learning from Insufficient Annotations. ECAI Rui He, Shengcai Liu, Jiahao Wu, Shan He, Ke Tang
2023	J	`jnl`	Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization. CoRR Wenjie Chen, Shengcai Liu, Yew-Soon Ong, Ke Tang
2023	J	`jnl`	Pointer Networks Trained Better via Evolutionary Algorithms. CoRR Muyao Zhong, Shengcai Liu, Bingdong Li, Haobo Fu, Ke Tang, Peng Yang
2023	A*	`conf`	Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles. AAAI Shengcai Liu, Fu Peng, Ke Tang
2023	J	`jnl`	Saliency Attack: Towards Imperceptible Black-box Adversarial Attack. ACM Trans. Intell. Syst. Technol. Zeyu Dai, Shengcai Liu, Qing Li, Ke Tang
2022	J	`jnl`	Automatic Construction of Parallel Algorithm Portfolios for Multi-objective Optimization. CoRR Xiasheng Ma, Shengcai Liu, Wenjing Hong
2022	A	`conf`	Disentangled Contrastive Learning for Social Recommendation. CIKM Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang
2022	J	`jnl`	Disentangled Contrastive Learning for Social Recommendation. CoRR Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, 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	J	`jnl`	Generative Adversarial Construction of Parallel Portfolios. IEEE Trans. Cybern. Shengcai Liu, Ke Tang, Xin Yao
2022	J	`jnl`	How Good Is Neural Combinatorial Optimization? CoRR Shengcai Liu, Yu Zhang, Ke Tang, Xin Yao
2022	J	`jnl`	Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles. CoRR Shengcai Liu, Fu Peng, Ke Tang
2022	J	`jnl`	Saliency Attack: Towards Imperceptible Black-box Adversarial Attack. CoRR Zeyu Dai, Shengcai Liu, Ke Tang, Qing Li
2022	—	`conf`	Training Quantized Deep Neural Networks via Cooperative Coevolution. ICSI (2) Fu Peng, Shengcai Liu, Ning Lu, Ke Tang
2021	J	`jnl`	A New Knowledge Gradient-based Method for Constrained Bayesian Optimization. CoRR Wenjie Chen, Shengcai Liu, Ke Tang
2021	J	`jnl`	A heuristic repair method for dial-a-ride problem in intracity logistic based on neighborhood shrinking. Multim. Tools Appl. Minshi Chen, Jianxun Chen, Peng Yang, Shengcai Liu, 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`	Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution. IEEE Trans. Evol. Comput. Ke Tang, Shengcai Liu, Peng Yang, Xin Yao
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`	Memetic search for vehicle routing with simultaneous pickup-delivery and time windows. Swarm Evol. Comput. Shengcai Liu, Ke Tang, Xin Yao
2021	B	`conf`	Towards Feature-free TSP Solver Selection: A Deep Learning Approach. IJCNN Kangfei Zhao, Shengcai Liu, Jeffrey Xu Yu, Yu Rong
2021	J	`jnl`	Training Quantized Deep Neural Networks via Cooperative Coevolution. CoRR Fu Peng, Shengcai Liu, Ning Lu, Ke Tang
2020	J	`jnl`	Few-shots Parameter Tuning via Co-evolution. CoRR Ke Tang, Shengcai Liu, Peng Yang, Xin Yao
2020	J	`jnl`	Leveraging TSP Solver Complementarity via Deep Learning. CoRR Kangfei Zhao, Shengcai Liu, Yu Rong, Jeffrey Xu Yu
2020	J	`jnl`	Memetic Search for Vehicle Routing with Simultaneous Pickup-Delivery and Time Windows. CoRR Shengcai Liu, Ke Tang, Xin Yao
2020	A*	`conf`	On Performance Estimation in Automatic Algorithm Configuration. AAAI Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao
2019	A*	`conf`	Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. AAAI Shengcai Liu, Ke Tang, Xin Yao
2019	J	`jnl`	On Performance Estimation in Automatic Algorithm Configuration. CoRR Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao
2018	J	`jnl`	Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. CoRR Shengcai Liu, Ke Tang, Xin Yao
2017	J	`jnl`	Experience-based Optimization: A Coevolutionary Approach. CoRR Shengcai Liu, Ke Tang, Xin Yao
2016	J	`jnl`	ℓ Signal Image Video Process. Shengcai Liu, Jiang-She Zhang, Junmin Liu, Qingyan Yin
2015	B	`conf`	QoS-aware long-term based service composition in cloud computing. CEC Shengcai Liu, Yufan Wei, Ke Tang, A. K. Qin, Xin Yao