output
20072026
most citedDeep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem

210 citations

33 papers

cs.CE2026★ 1 cited

PINEAPPLE: Physics-Informed Neuro-Evolution Algorithm for Prognostic Parameter Inference in Lithium-Ion Battery Electrodes

Karkulali Pugalenthi, Jian Cheng Wong, Qizheng Yang +4

Accurate, real-time, yet non-destructive estimation of internal states in lithium-ion batteries is critical for predicting degradation, optimizing usage strategies, and extending o…

cs.AI2025★ 5 cited

Multi-modal cross-domain mixed fusion model with dual disentanglement for fault diagnosis under unseen working conditions

Pengcheng Xia, Yixiang Huang, Chengjin Qin +1

Intelligent fault diagnosis has become an indispensable technique for ensuring machinery reliability. However, existing methods suffer significant performance decline in real-world…

cs.NE2025

()-Parametric Multi-Task Optimization: Joint Search in Solution and Infinite Task Spaces

Tingyang Wei, Jiao Liu, Abhishek Gupta +2

Multi-task optimization is typically characterized by a fixed and finite set of tasks. The present paper relaxes this condition by considering a non-fixed and potentially infinite…

cond-mat.soft2024★ 7 cited

How do imperfections cause asymmetry in elastic snap-through?

Andrea Giudici, Weicheng Huang, Qiong Wang +4

A symmetrically-buckled arch whose boundaries are clamped at an angle has two stable equilibria: an inverted and a natural state. When the distance between the clamps is increased…

math.QA2024

Twisted Fusion Products and Quantum Twisted -Systems

Mingyan Simon Lin

We obtain a complete characterization of the space of matrix elements dual to the graded multiplicity space arising from fusion products of Kirillov-Reshetikhin modules over specia…

eess.SP2024★ 172 cited

In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review

Lequn Chen, Guijun Bi, Xiling Yao +6

Laser Additive Manufacturing (LAM) presents unparalleled opportunities for fabricating complex, high-performance structures and components with unique material properties. Despite…