Xinhua Wu

19 papers B 1C 1Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Location-Based Service (LBS) Data Quality Metrics and Effects on Mobility Inference.
CoRR
Xinhua Wu, Yanchao Wang, Ekin Ugurel, Cynthia Chen, Shuai Huang, Qi R. Wang
2024 J jnl
Popular LLMs Amplify Race and Gender Disparities in Human Mobility.
CoRR
Xinhua Wu, Qi R. Wang
2024 J jnl
Pretrained Mobility Transformer: A Foundation Model for Human Mobility.
CoRR
Xinhua Wu, Haoyu He, Yanchao Wang, Qi R. Wang
2023 J jnl
Bipartite Consensus of Fuzzy Multiagent Systems on Multilayer Coopetition Networks Using Output Measurements and Its Application to Image Communication.
IEEE Access
Xinhua Wu, Suying Sheng, Guoping Lu
2023 J jnl
Bipartite Containment Control for Delayed Multiagent Systems With Markovian Switching Topologies Under Impulsive Attacks.
IEEE Access
Xinhua Wu
2023 C conf
Economic Analysis of High Penetration of Renewable Energy under Market Environment.
iSPEC
Jichao Ye, Hanbing Zhang, Hui Huang, Xinwei Hu, Xinhua Wu, Yonghai Xu, Chao Yang
2023 — conf
Forecasting Urban Mobility using Sparse Data: A Gradient Boosted Fusion Tree Approach.
HuMob-Challenge@SIGSPATIAL
Haoyu He, Xinhua Wu, Qi R. Wang
2023 — conf
Robust Two-Stage Transport Data Imputation with Changepoint Detection and Tucker Decomposition.
ITSC
Cheng Lyu, Qing-Long Lu, Xinhua Wu, Constantinos Antoniou
2023 J jnl
Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.
CoRR
Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter
2022 J jnl
A Partial-Fréchet-Distance-Based Framework for Bus Route Identification.
IEEE Trans. Intell. Transp. Syst.
Cheng Lyu, Xinhua Wu, Yang Liu, Zhiyuan Liu
2022 J jnl
Quantify the Road Link Performance and Capacity Using Deep Learning Models.
IEEE Trans. Intell. Transp. Syst.
Jinbiao Huo, Xinhua Wu, Cheng Lyu, Wenbo Zhang, Zhiyuan Liu
2022 J jnl
Similarity-based Feature Extraction for Large-scale Sparse Traffic Forecasting.
CoRR
Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan
2021 J jnl
Building crack identification and total quality management method based on deep learning.
Pattern Recognit. Lett.
Xinhua Wu, Xiujie Liu
2021 — conf
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.
NeurIPS (Competition and Demos)
Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter
2021 J jnl
Wireless management system of prefabricated construction materials based on BIM technology.
EURASIP J. Wirel. Commun. Netw.
Xinhua Wu
2013 — conf
A novel bit-level image encryption scheme using hyper-chaotic systems.
FSKD
Suying Sheng, Xinhua Wu
2013 — conf
A novel chaos-based image encryption scheme using coupled map lattices.
FSKD
Xinhua Wu
2013 B conf
Hybrid AF and DF with network coding for wireless Two Way Relay Networks.
WCNC
Yu Zhu, Xinhua Wu, Tianshi Zhu
2012 — conf
A new digital anti-counterfeiting scheme based on chaotic cryptography.
ICTC
Suying Sheng, Xinhua Wu