Fei Liu - RankMe

59 papers A* 13B 4C 2Journal 35Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Systematic Survey on Large Language Models for Algorithm Design. ACM Comput. Surv. Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Xi Lin, Zhe Zhao, Xialiang Tong, Kun Mao, Zhichao Lu, Zhenkun Wang, Mingxuan Yuan, Qingfu Zhang
2026	J	`jnl`	Enhancing CVRP Solver through LLM-driven Automatic Heuristic Design. CoRR Zhuoliang Xie, Fei Liu, Zhenkun Wang, Qingfu Zhang
2026	A*	`conf`	EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design. AAAI Fei Liu, Yilu Liu, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2026	J	`jnl`	LLM-Assisted Automatic Dispatching Rule Design for Dynamic Flexible Assembly Flow Shop Scheduling. CoRR Junhao Qiu, Haoyang Zhuang, Fei Liu, Jianjun Liu, Qingfu Zhang
2025	A*	`conf`	CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention. ICML Han Li, Fei Liu, Zhi Zheng, Yu Zhang, Zhenkun Wang
2025	J	`jnl`	Destroy and Repair Using Hyper Graphs for Routing. CoRR Ke Li, Fei Liu, Zhengkun Wang, Qingfu Zhang
2025	A*	`conf`	Destroy and Repair Using Hyper-Graphs for Routing. AAAI Ke Li, Fei Liu, Zhenkun Wang, Qingfu Zhang
2025	J	`jnl`	Discovering Interpretable Programmatic Policies via Multimodal LLM-assisted Evolutionary Search. CoRR Qinglong Hu, Xialiang Tong, Mingxuan Yuan, Fei Liu, Zhichao Lu, Qingfu Zhang
2025	J	`jnl`	EoH-S: Evolution of Heuristic Set using LLMs for Automated Heuristic Design. CoRR Fei Liu, Yilu Liu, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2025	J	`jnl`	EvoEngineer: Mastering Automated CUDA Kernel Code Evolution with Large Language Models. CoRR Ping Guo, Chenyu Zhu, Siyuan Chen, Fei Liu, Xi Lin, Zhichao Lu, Qingfu Zhang
2025	A*	`conf`	Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. ICLR Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang
2025	J	`jnl`	Fine-tuning Large Language Model for Automated Algorithm Design. CoRR Fei Liu, Rui Zhang, Xi Lin, Zhichao Lu, Qingfu Zhang
2025	J	`jnl`	Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search. CoRR Fei Liu, Qingfu Zhang, Xialiang Tong, Kun Mao, Mingxuan Yuan
2025	J	`jnl`	FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization. CoRR Yiming Yao, Fei Liu, Liang Zhao, Xi Lin, Qingfu Zhang
2025	J	`jnl`	From Understanding to Excelling: Template-Free Algorithm Design through Structural-Functional Co-Evolution. CoRR Zhe Zhao, Haibin Wen, Pengkun Wang, Ye Wei, Zaixi Zhang, Xi Lin, Fei Liu, Bo An, Hui Xiong, Yang Wang, Qingfu Zhang
2025	B	`conf`	LLM-Driven Neighborhood Search for Efficient Heuristic Design. CEC Zhuoliang Xie, Fei Liu, Zhenkun Wang, Qingfu Zhang
2025	A*	`conf`	LLM-enhanced Score Function Evolution for Causal Structure Learning. IJCAI Zidong Wang, Fei Liu, Qi Feng, Qingfu Zhang, Xiaoguang Gao
2025	J	`jnl`	LRM-1B: Towards Large Routing Model. CoRR Han Li, Fei Liu, Zhenkun Wang, Qingfu Zhang
2025	—	`conf`	Large Language Model for Multiobjective Evolutionary Optimization. EMO (2) Fei Liu, Xi Lin, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2025	J	`jnl`	Learning to Insert for Constructive Neural Vehicle Routing Solver. CoRR Fu Luo, Xi Lin, Mengyuan Zhong, Fei Liu, Zhenkun Wang, Jianyong Sun, Qingfu Zhang
2025	J	`jnl`	Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound. J. Mach. Learn. Res. Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Lijun Zhang, Qingfu Zhang
2025	A*	`conf`	MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework. CVPR Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang
2025	J	`jnl`	MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework. CoRR Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang
2025	J	`jnl`	Machine Learning-Assisted Multiobjective Evolutionary Algorithm for Routing and Packing. IEEE Trans. Evol. Comput. Fei Liu, Qingfu Zhang, Qingling Zhu, Xialiang Tong, Mingxuan Yuan
2025	A*	`conf`	Multi-Objective Evolution of Heuristic Using Large Language Model. AAAI Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang
2025	J	`jnl`	Multipopulation Optimization With LLM-Driven Knowledge Discovery for Large-Scale HFVRP. IEEE Trans. Comput. Soc. Syst. Zhuoliang Xie, Fei Liu, Genghui Li, Zhilin Mao, Yu Zhang, Zhenkun Wang, Qingfu Zhang
2025	—	`conf`	RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. KDD (2) Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park
2024	J	`jnl`	A Systematic Survey on Large Language Models for Algorithm Design. CoRR Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Zhe Zhao, Xi Lin, Xialiang Tong, Mingxuan Yuan, Zhichao Lu, Zhenkun Wang, Qingfu Zhang
2024	J	`jnl`	An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. CoRR Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2024	J	`jnl`	AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure. CoRR Yu Zhang, Kefeng Zheng, Fei Liu, Qingfu Zhang, Zhenkun Wang
2024	J	`jnl`	CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention. CoRR Han Li, Fei Liu, Zhi Zheng, Yu Zhang, Zhenkun Wang
2024	A*	`conf`	Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. ICML Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2024	—	`conf`	Evolve Cost-Aware Acquisition Functions Using Large Language Models. PPSN (2) Yiming Yao, Fei Liu, Ji Cheng, Qingfu Zhang
2024	J	`jnl`	Evolve Cost-aware Acquisition Functions Using Large Language Models. CoRR Yiming Yao, Fei Liu, Ji Cheng, Qingfu Zhang
2024	J	`jnl`	Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. CoRR Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang
2024	B	`conf`	High-Throughput Multi-Objective Bayesian Optimization using Gradients. CEC Yiming Yao, Fei Liu, Qingfu Zhang
2024	—	`conf`	L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks. GECCO Companion Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang
2024	J	`jnl`	L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks. CoRR Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang
2024	J	`jnl`	LLM4AD: A Platform for Algorithm Design with Large Language Model. CoRR Fei Liu, Rui Zhang, Zhuoliang Xie, Rui Sun, Kai Li, Xi Lin, Zhenkun Wang, Zhichao Lu, Qinyu Zhang
2024	A*	`conf`	Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. KDD Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2024	J	`jnl`	Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. CoRR Fei Liu, Xi Lin, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2024	J	`jnl`	Multi-objective Evolution of Heuristic Using Large Language Model. CoRR Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang
2024	A*	`conf`	Multiobjective Lipschitz Bandits under Lexicographic Ordering. AAAI Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Qingfu Zhang
2024	A*	`conf`	Prompt Learning for Generalized Vehicle Routing. IJCAI Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2024	J	`jnl`	Prompt Learning for Generalized Vehicle Routing. CoRR Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2024	A*	`conf`	Smooth Tchebycheff Scalarization for Multi-Objective Optimization. ICML Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang
2024	J	`jnl`	Smooth Tchebycheff Scalarization for Multi-Objective Optimization. CoRR Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang
2024	—	`conf`	Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. PPSN (2) Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2024	J	`jnl`	Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. CoRR Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
2023	B	`conf`	A Decomposition-Based Hybrid Algorithm for Multi-objective Vehicle Routing Problem with Time Windows. CEC Yiwen Wang, Fei Liu, Qingfu Zhang
2023	C	`conf`	A Two-Stage Algorithm for Integer Multiobjective Simulation Optimization. EMO Fei Liu, Qingfu Zhang
2023	J	`jnl`	Algorithm Evolution Using Large Language Model. CoRR Fei Liu, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2023	J	`jnl`	Heuristics for Vehicle Routing Problem: A Survey and Recent Advances. CoRR Fei Liu, Chengyu Lu, Lin Gui, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2023	J	`jnl`	Large Language Model for Multi-objective Evolutionary Optimization. CoRR Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
2023	J	`jnl`	MOEA/D with gradient-enhanced kriging for expensive multiobjective optimization. Nat. Comput. Fei Liu, Qingfu Zhang, Zhonghua Han
2023	A*	`conf`	Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. NeurIPS Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang
2023	J	`jnl`	Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. CoRR Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang
2021	C	`conf`	MOEA/D with Gradient-Enhanced Kriging for Expensive Multiobjective Optimization. EMO Fei Liu, Qingfu Zhang, Zhonghua Han
2019	B	`conf`	Efficient Multi-Objective Evolutionary Algorithm for Constrained Global Optimization of Expensive Functions. CEC Zhonghua Han, Fei Liu, Chenzhou Xu, Keshi Zhang, Qingfu Zhang