Search Results for author: Xiaotong Guo

Found 7 papers, 0 papers with code

Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network

no code implementations23 May 2024 Dingyi Zhuang, Qingyi Wang, Yunhan Zheng, Xiaotong Guo, Shenhao Wang, Haris N Koutsopoulos, Jinhua Zhao

Transportation mode share analysis is important to various real-world transportation tasks as it helps researchers understand the travel behaviors and choices of passengers.

Feature Engineering Graph Embedding

$\mathrm{F^2Depth}$: Self-supervised Indoor Monocular Depth Estimation via Optical Flow Consistency and Feature Map Synthesis

no code implementations27 Mar 2024 Xiaotong Guo, Huijie Zhao, Shuwei Shao, Xudong Li, Baochang Zhang

To evaluate the generalization ability of our $\mathrm{F^2Depth}$, we collect a Campus Indoor depth dataset composed of approximately 1500 points selected from 99 images in 18 scenes.

Indoor Monocular Depth Estimation Monocular Depth Estimation +2

Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System

no code implementations29 Dec 2023 Xiaotong Guo, Hanyong Xu, Dingyi Zhuang, Yunhan Zheng, Jinhua Zhao

The results suggest that our proposed method enhances both accuracy and fairness in forecasting ride-hailing demand, ultimately resulting in more equitable vehicle rebalancing in subsequent operations.


Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network

no code implementations10 Jan 2023 Baichuan Mo, Qing Yi Wang, Xiaotong Guo, Matthias Winkenbach, Jinhua Zhao

To further capture the global efficiency of the route, we propose a new iterative sequence generation algorithm that is used after model training to identify the first stop of a route that yields the lowest operational cost.


Multi-wavelength Selected Compton-thick AGNs in Chandra Deep Field-South Survey

no code implementations6 Dec 2020 Xiaotong Guo, Qiusheng Gu, Nan Ding, Xiaoling Yu, Yongyun Chen

We also find that CT AGNs have a higher Eddington ratio than non-CT AGNs, and that both CT AGNs and non-CT AGNs show similar properties of host galaxies.

Astrophysics of Galaxies High Energy Astrophysical Phenomena

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