papers

Publications (8)

cs.CV2017

Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN

Jiyang Gao, Zijian, Guo +2

Fine-grained image labels are desirable for many computer vision applications, such as visual search or mobile AI assistant. These applications rely on image classification models…

cs.ET2026

Energy-Efficient Drone Logistics for Last-Mile Delivery: Implications of Payload-Dependent Routing Strategies

Ziyue Li, Qianwen, Guo +1

Drone delivery is rapidly emerging as a cost-effective and energy efficient alternative for last-mile delivery. Unlike ground vehicles, a drone's energy consumption depends on its…

math.CO2022

Pairs of disjoint matchings and related classes of graphs

Huizheng, Guo, Kieran Kaempen +6

For a finite graph , we study the maximum -edge colorable subgraph problem and a related ratio , where is the matching number of , and

astro-ph.SR2021

The 2019 International Women's Day event: A two-step solar flare with multiple eruptive signatures and low Earth impact

Dumbovic, M., Veronig +15

We present a detailed analysis of an eruptive event that occurred on early 2019 March 8 in active region AR 12734, to which we refer as the International Women's day event. The eve…

cond-mat.str-el2025

Long-range electron coherence in Kagome metals

Chunyu, Guo, Kaize Wang +17

The wave-like nature of electrons lies at the core of quantum mechanics, distinguishing them from classical particles. Landmark experiments have revealed phase coherence of mobile…

cs.LG2020

StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials

Yinan Wang, Diane Oyen, Weihong +7

Catastrophic failure in brittle materials is often due to the rapid growth and coalescence of cracks aided by high internal stresses. Hence, accurate prediction of maximum internal…

stat.ME2026

Studying Competing Events with Federated Cumulative Incidence Curves

Malcolm Risk, Shuang Yang, Jiang Bian +6

The paper introduces a federated learning approach for constructing non‑parametric cumulative incidence curves for competing risks without sharing patient‑level data, and applies i…

#federated learning#competing risks#cumulative incidence curves#post-market safety surveillance
quant-ph2025

Behavior of quantum coherence in the ultrastrong and deep strong coupling regimes of light-matter system

Yu-qiang Liu, Qiulin Long, Yi-jia Yang +12

The ultrastrong and deep strong coupling regimes exhibit a variety of intriguing physical phenomena. In this work, we utilize the Hopfield model of a two-mode bosonic system, with…