2 code implementations • ICCV 2019 • Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu
It outperforms the current best method by 6. 8% relatively for image retrieval and 4. 8% relatively for caption retrieval on MS-COCO (Recall@1 using 1K test set).
Ranked #8 on Image Retrieval on Flickr30K 1K test
no code implementations • 30 May 2018 • Tian Lan, Yuanyuan Li, Jonah Kimani Murugi, Yi Ding, Zhiguang Qin
The early detection and early diagnosis of lung cancer are crucial to improve the survival rate of lung cancer patients.
no code implementations • 23 Jul 2021 • Yu Jing, Xiaogang Li, Yang Yang, Chonghang Wu, Wenbing Fu, Wei Hu, Yuanyuan Li, Hua Xu
With the rapid growth of qubit numbers and coherence times in quantum hardware technology, implementing shallow neural networks on the so-called Noisy Intermediate-Scale Quantum (NISQ) devices has attracted a lot of interest.
no code implementations • 2 Apr 2022 • Wenxiang Li, Yuanyuan Li, Ziyuan Pu, Long Cheng, Lei Wang, Linchuan Yang
Integrating the trip data with the COPERT model, this study calculates the CO2 emissions of shared rides (ridesplitting) and their substituted single rides (regular ridesourcing) to estimate the CO2 emission reduction of each ridesplitting trip.
no code implementations • 2 Jul 2022 • Yuanyuan Li, Claudia Archetti, Ivana Ljubic
In this paper, we study a sequential decision making problem faced by e-commerce carriers related to when to send out a vehicle from the central depot to serve customer requests, and in which order to provide the service, under the assumption that the time at which parcels arrive at the depot is stochastic and dynamic.
no code implementations • 19 Jan 2023 • Yuanyuan Li, Kai Wu, Jing Liu
Our proposal is competitive in identifying the change points and discovering governing differential equations in three hybrid systems and two switching linear systems.
1 code implementation • 5 Sep 2023 • Kai Wu, Yuanyuan Li, Jing Liu
Noise is a pervasive element within real-world measurement data, significantly undermining the performance of network inference models.
no code implementations • 5 Oct 2023 • Sukrita Singh, Neeraj Sarna, Yuanyuan Li, Yang Li, Agni Orfanoudaki, Michael Berger
We solve the risk-assessment problem using the conformal prediction approach, which provides prediction intervals that are guaranteed to contain the true label with a given probability.