Low jitter audio range PLL with ultra low power dissipation. - Fu Luo; Godi Fischer (ACM Great Lakes Symposium on VLSI, 2011)

Jitter in ultra-low power audio-range PLLs. - Fu Luo; Godi Fischer (MWSCAS, 2012)

Cyclical sensing integrate-and-fire circuit for memristor array based neuromorphic computing. - Hao Jiang 014; Weijie Zhu; Fu Luo; Kangjun Bai; Chenchen Liu; Xiaorong Zhang; J. Joshua Yang; Qiangfei Xia; Yiran Chen 001; Qing Wu 002 (ISCAS, 2016)

Pulse-Width Modulation based Dot-Product Engine for Neuromorphic Computing System using Memristor Crossbar Array. - Hao Jiang 014; Kevin Yamada; Zizhe Ren; Thomas Kwok; Fu Luo; Qing Yang 011; Xiaorong Zhang; J. Joshua Yang; Qiangfei Xia; Yiran Chen 001; Hai Helen Li; Qing Wu 002; et al. (ISCAS, 2018)

Dynamic multi-objective ensemble of acquisition functions in batch bayesian optimization. - Jixiang Chen; Fu Luo; Zhenkun Wang 001 (GECCO Companion, 2022)

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. - Fu Luo; Xi Lin 001; Fei Liu 044; Qingfu Zhang 001; Zhenkun Wang 001 (NeurIPS, 2023)

Batch Bayesian optimization with adaptive batch acquisition functions via multi-objective optimization. - Jixiang Chen; Fu Luo; Genghui Li; Zhenkun Wang 001 (Swarm Evol. Comput., 2023)

A Study on Anomaly Detection and Systemic Risk Early Warning in Guangdong Financial Market Based on Big Data and Deep Learning. - Ying Qu; Yunxiang Peng 001; Wanqin Xie; Fu Luo; Lijun Zeng (ICCBD, 2024)

Research on the optimization of Dongguan manufacturing cluster and consumption upgrade mode of urban and rural residents based on genetic algorithm. - Lijun Zeng; Xiao Li; Fu Luo; Minming Qiu (ICCBD, 2024)

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. - Fei Liu 044; Xialiang Tong; Mingxuan Yuan; Xi Lin 001; Fu Luo; Zhenkun Wang 001; Zhichao Lu; Qingfu Zhang 001 (ICML, 2024)

An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. - Fei Liu 044; Xialiang Tong; Mingxuan Yuan; Xi Lin 001; Fu Luo; Zhenkun Wang 001; Zhichao Lu; Qingfu Zhang 001 (CoRR, 2024)

Self-Improved Learning for Scalable Neural Combinatorial Optimization. - Fu Luo; Xi Lin 001; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (CoRR, 2024)

Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems. - Fu Luo; Xi Lin 001; Yaoxin Wu; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (ICLR, 2025)

Learning to Insert for Constructive Neural Vehicle Routing Solver. - Fu Luo; Xi Lin 001; Mengyuan Zhong; Fei Liu 044; Zhenkun Wang 001; Jianyong Sun; Qingfu Zhang 001 (CoRR, 2025)

Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees. - Fu Luo; Yaoxin Wu; Zhi Zheng 009; Zhenkun Wang 001 (CoRR, 2025)

Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning. - Yuanyao Chen; Rongsheng Chen; Fu Luo; Zhenkun Wang 001 (CoRR, 2025)

MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver. - Yuepeng Zheng; Fu Luo; Zhenkun Wang 001; Yaoxin Wu; Yu Zhou (CoRR, 2025)