Yuankai Wu

According to our database, Yuankai Wu authored at least 76 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Graph neural networks with flow conservation constraints for real-time origin-destination matrix completion.

Zhongyue Zhang, Jing Yang, Xiaoxu Chen, Yuankai Wu

Pattern Recognit., 2026

2025

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement.

Jinfan Tang, Kunming Wu, Ruifeng Gongxie, Yuya He, Yuankai Wu

CoRR, August, 2025

Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting.

Ziyu Zhou, Yiming Huang, Yanyun Wang, Yuankai Wu, James T. Kwok, Yuxuan Liang

CoRR, August, 2025

Multi-Modal Graph Convolutional Network with Sinusoidal Encoding for Robust Human Action Segmentation.

Hao Xing, Kai Zhe Boey, Yuankai Wu, Darius Burschka, Gordon Cheng

CoRR, July, 2025

Reinforcement learning for hybrid charging stations planning and operation considering fixed and mobile chargers.

Yanchen Zhu, Honghui Zou, Chufan Liu, Yuyu Luo, Yuankai Wu, Yuxuan Liang

CoRR, June, 2025

Technical Report for Egocentric Mistake Detection for the HoloAssist Challenge.

Constantin Patsch, Marsil Zakour, Yuankai Wu, Eckehard G. Steinbach

CoRR, June, 2025

Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning.

Jia Liu, Jinguo Cheng, Xia Fang, Zhenyuan Ma, Yuankai Wu

CoRR, April, 2025

A Multi-Level Sentiment Analysis Framework for Financial Texts.

Yiwei Liu, Junbo Wang, Lei Long, Xin Li, Ruiting Ma, Yuankai Wu, Xuebin Chen

CoRR, April, 2025

Rethinking Urban Mobility Prediction: A Multivariate Time Series Forecasting Approach.

Jinguo Cheng, Ke Li, Yuxuan Liang, Lijun Sun, Junchi Yan, Yuankai Wu

IEEE Trans. Intell. Transp. Syst., February, 2025

Memory-based Ensemble Learning in CMR Semantic Segmentation.

Yiwei Liu, Ziyi Wu, Liang Zhong, Lingyi Wen, Yuankai Wu

CoRR, February, 2025

Generative adversarial network for car following trajectory generation and anomaly detection.

Haotian Shi, Shuoxuan Dong, Yuankai Wu, Qinghui Nie, Yang Zhou, Bin Ran

J. Intell. Transp. Syst., January, 2025

AOGN-CZSL: An Attribute- and Object-Guided Network for Compositional Zero-Shot Learning.

Jing Yang, Xingjiang Ma, Yuankai Wu, Chengjiang Li, Zhidong Su, Ji Xu, Yixiong Feng

Inf. Fusion, 2025

Enhancing air traffic control: A transparent deep reinforcement learning framework for autonomous conflict resolution.

Lei Wang, Hongyu Yang, Yi Lin, Suwan Yin, Yuankai Wu

Expert Syst. Appl., 2025

Taming deep reinforcement learning-based conflict resolution in air traffic control using geometric technique.

Lei Wang, Hongyu Yang, Yunxiang Han, Suwan Yin, Yuankai Wu

Expert Syst. Appl., 2025

Real-Time Human Action Anomaly Detection Through Two-Stream Spatial-Temporal Networks.

Chuan Peng, Zebin Jiang, Mao Lin, Hongbin Hu, Cen Qing, Yuankai Wu, Xiao Xu

IEEE Access, 2025

Enhancing Real Estate Valuation through Deep Modeling of Spatiotemporal Dependencies and Feature Interactions.

Lin Xu, Yuankai Wu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks.

Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Spatial-Temporal Traffic Prediction With an Interactive Spatial-Enhanced Graph Convolutional Network Model.

Qin Li, Pai Xu, Xuan Yang, Yuankai Wu, Hongwen He, Deqiang He

IEEE Trans. Intell. Transp. Syst., December, 2024

Long-Term Airport Network Performance Forecasting With Linear Diffusion Graph Networks.

Yuankai Wu, Jing Yang, Xiaoxu Chen, Yi Lin, Hongyu Yang

IEEE Trans. Intell. Transp. Syst., November, 2024

TSCL: Timestamp Supervised Contrastive Learning for Action Segmentation.

Constantin Patsch, Yuankai Wu, Driton Salihu, Marsil Zakour, Eckehard G. Steinbach

IEEE Robotics Autom. Lett., September, 2024

Spatial-Temporal Traffic Modeling With a Fusion Graph Reconstructed by Tensor Decomposition.

Qin Li, Xuan Yang, Yong Wang, Yuankai Wu, Deqiang He

IEEE Trans. Intell. Transp. Syst., February, 2024

Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction.

Yuankai Wu, Hongyu Yang, Yi Lin, Hong Liu

IEEE Trans. Knowl. Data Eng., January, 2024

Fuel consumption prediction for pre-departure flights using attention-based multi-modal fusion.

Yi Lin, Dongyue Guo, Yuankai Wu, Lishuai Li, Edmond Qi Wu, Wenyi Ge

Inf. Fusion, January, 2024

Modeling Spatio-Temporal Dynamical Systems With Neural Discrete Learning and Levels-of-Experts.

Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang

IEEE Trans. Knowl. Data Eng., 2024

A class-incremental learning approach for learning feature-compatible embeddings.

Hongchao An, Jing Yang, Xiuhua Zhang, Xiaoli Ruan, Yuankai Wu, Shaobo Li, Jianjun Hu

Neural Networks, 2024

TimeSQL: Improving multivariate time series forecasting with multi-scale patching and smooth quadratic loss.

Site Mo, Haoxin Wang, Bixiong Li, Songhai Fan, Yuankai Wu, Xianggen Liu

Inf. Sci., 2024

Multi-Source Information Fusion Graph Convolution Network for traffic flow prediction.

Qin Li, Pai Xu, Deqiang He, Yuankai Wu, Huachun Tan, Xuan Yang

Expert Syst. Appl., 2024

ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks.

Wanlin Cai, Kun Wang, Hao Wu, Xiaoxu Chen, Yuankai Wu

CoRR, 2024

NuwaTS: a Foundation Model Mending Every Incomplete Time Series.

Jinguo Cheng, Chunwei Yang, Wanlin Cai, Yuxuan Liang, Yuankai Wu

CoRR, 2024

Machina Economicus: A New Paradigm for Prosumers in the Energy Internet of Smart Cities.

Luyang Hou, Jun Yan, Yuankai Wu, Chun Wang, Tie Qiu

CoRR, 2024

ADL4D: Towards A Contextually Rich Dataset for 4D Activities of Daily Living.

Marsil Zakour, Partha Pratim Nath, Ludwig Lohmer, Emre Faik Gökçe, Martin Piccolrovazzi, Constantin Patsch, Yuankai Wu, Rahul Gopal Chaudhari, Eckehard G. Steinbach

CoRR, 2024

Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth.

Wei Chen, Xixuan Hao, Yuankai Wu, Yuxuan Liang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking 3D Geometric Object Features for Enhancing Skeleton-based Action Recognition.

Yuankai Wu, Chi Wang, Driton Salihu, Constantin Patsch, Marsil Zakour, Eckehard G. Steinbach

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Enhanced Robotic Assistance for Human Activities through Human-Object Interaction Segment Prediction.

Yuankai Wu, Rayene Messaoud, Arne-Christoph Hildebrandt, Marco Baldini, Driton Salihu, Constantin Patsch, Eckehard G. Steinbach

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Sim-to-Real Domain Shift in Online Action Detection.

Constantin Patsch, Wael Torjmene, Marsil Zakour, Yuankai Wu, Driton Salihu, Eckehard G. Steinbach

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation.

Driton Salihu, Adam Misik, Yuankai Wu, Constantin Patsch, Fabián Seguel, Eckehard G. Steinbach

Proceedings of the Twelfth International Conference on Learning Representations, 2024

NPRF: Neural Painted Radiosity Fields for Neural Implicit Rendering and Surface Reconstruction.

Driton Salihu, Adam Misik, Yuankai Wu, Constantin Patsch, Eckehard G. Steinbach

Proceedings of the IEEE International Conference on Acoustics, 2024

Long-Term Action Anticipation Based on Contextual Alignment.

Constantin Patsch, Jinghan Zhang, Yuankai Wu, Marsil Zakour, Driton Salihu, Eckehard G. Steinbach

Proceedings of the IEEE International Conference on Acoustics, 2024

MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting.

Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Low-Rank Hankel Tensor Completion for Traffic Speed Estimation.

Xudong Wang, Yuankai Wu, Dingyi Zhuang, Lijun Sun

IEEE Trans. Intell. Transp. Syst., May, 2023

FlightBERT: Binary Encoding Representation for Flight Trajectory Prediction.

Dongyue Guo, Edmond Qi Wu, Yuankai Wu, Jianwei Zhang, Rob Law, Yi Lin

IEEE Trans. Intell. Transp. Syst., February, 2023

Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy.

Jianshuai Feng, Tianyu Shi, Yuankai Wu, Xiang Xie, Hongwen He, Huachun Tan

Sensors, 2023

Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach.

Jinguo Cheng, Ke Li, Yuxuan Liang, Lijun Sun, Junchi Yan, Yuankai Wu

CoRR, 2023

Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach.

Chunwei Yang, Xiaoxu Chen, Lijun Sun, Hongyu Yang, Yuankai Wu

CoRR, 2023

Adapting Energy Management Strategies for Hybrid Electric Vehicles in Dynamic Driving Cycles Through Recurrent Policy.

Qinghong Guo, Renzong Lian, Kuo Ma, Luyang Hou, Yuankai Wu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Modeling Action Spatiotemporal Relationships Using Graph-Based Class-Level Attention Network for Long-Term Action Detection.

Yuankai Wu, Xin Su, Driton Salihu, Hao Xing, Marsil Zakour, Constantin Patsch

IROS, 2023

2022

Understanding and Modeling Urban Mobility Dynamics via Disentangled Representation Learning.

Hailong Zhang, Yuankai Wu, Huachun Tan, Hanxuan Dong, Fan Ding, Bin Ran

IEEE Trans. Intell. Transp. Syst., 2022

Bayesian Kernelized Matrix Factorization for Spatiotemporal Traffic Data Imputation and Kriging.

Mengying Lei, Aurélie Labbe, Yuankai Wu, Lijun Sun

IEEE Trans. Intell. Transp. Syst., 2022

Detection of Train Driver Fatigue and Distraction Based on Forehead EEG: A Time-Series Ensemble Learning Method.

Chaojie Fan, Yong Peng, Shuangling Peng, Honghao Zhang, Yuankai Wu, Sam Kwong

IEEE Trans. Intell. Transp. Syst., 2022

An effective spatiotemporal deep learning framework model for short-term passenger flow prediction.

Xueqin Wang, Xinyue Xu, Yuankai Wu, Jun Liu

Soft Comput., 2022

Automatic repetition instruction generation for air traffic control training using multi-task learning with an improved copy network.

Jianwei Zhang, Pan Zhang, Dongyue Guo, Yang Zhou, Yuankai Wu, Bo Yang, Yi Lin

Knowl. Based Syst., 2022

Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition.

Qin Li, Xuan Yang, Yong Wang, Yuankai Wu, Deqiang He

CoRR, 2022

Explainable and Safe Reinforcement Learning for Autonomous Air Mobility.

Lei Wang, Hongyu Yang, Yi Lin, Suwan Yin, Yuankai Wu

CoRR, 2022

Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction.

Yuankai Wu, Hongyu Yang, Yi Lin, Hong Liu

CoRR, 2022

Hand-object Interaction based Semi-automatic Objects Annotation for Human Activity Datasets.

Yuankai Wu, Zhouyi Gu, Marsil Zakour, Rahul Gopal Chaudhari

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Benchmarking Deep Reinforcement Learning Based Energy Management Systems for Hybrid Electric Vehicles.

Yuankai Wu, Renzong Lian, Yong Wang, Lin Yi

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Hybrid Electric Vehicle Energy Management With Computer Vision and Deep Reinforcement Learning.

Yong Wang, Huachun Tan, Yuankai Wu, Jiankun Peng

IEEE Trans. Ind. Informatics, 2021

A Deep Learning Framework of Autonomous Pilot Agent for Air Traffic Controller Training.

Yi Lin, Yuankai Wu, Dongyue Guo, Pan Zhang, Changyu Yin, Bo Yang, Jianwei Zhang

IEEE Trans. Hum. Mach. Syst., 2021

Nonrecurrent traffic congestion detection with a coupled scalable Bayesian robust tensor factorization model.

Qin Li, Huachun Tan, Zhuxi Jiang, Yuankai Wu, Linhui Ye

Neurocomputing, 2021

Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging.

Yuankai Wu, Dingyi Zhuang, Mengying Lei, Aurélie Labbe, Lijun Sun

CoRR, 2021

Individual Mobility Prediction via Attentive Marked Temporal Point Processes.

Yuankai Wu, Zhanhong Cheng, Lijun Sun

CoRR, 2021

A spatiotemporal graph convolution gated recurrent unit model for short-term passenger flow estimation.

Xueqin Wang, Xinyue Xu, Yuankai Wu, Jun Liu

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks.

Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele

Proceedings of the Intelligent Systems and Applications, 2021

Inductive Graph Neural Networks for Spatiotemporal Kriging.

Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Cross-Type Transfer for Deep Reinforcement Learning Based Hybrid Electric Vehicle Energy Management.

Renzong Lian, Huachun Tan, Jiankun Peng, Qin Li, Yuankai Wu

IEEE Trans. Veh. Technol., 2020

Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning.

Tianyu Shi, Jiawei Wang, Yuankai Wu, Lijun Sun

CoRR, 2020

Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model.

Qin Li, Huachun Tan, Xizhu Jiang, Yuankai Wu, Linhui Ye

CoRR, 2020

Traffic Flow Prediction With Missing Data Imputed by Tensor Completion Methods.

Qin Li, Huachun Tan, Yuankai Wu, Linhui Ye, Fan Ding

IEEE Access, 2020

Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer Optimization.

Chenyang Xi, Tianyu Shi, Yuankai Wu, Lijun Sun

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

A Fused CP Factorization Method for Incomplete Tensors.

Yuankai Wu, Huachun Tan, Yong Li, Jian Zhang, Xiaoxuan Chen

IEEE Trans. Neural Networks Learn. Syst., 2019

ES-CTC: A Deep Neuroevolution Model for Cooperative Intelligent Freeway Traffic Control.

Yuankai Wu, Huachun Tan, Zhuxi Jiang, Bin Ran

CoRR, 2019

2018

Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning.

Yuankai Wu, Huachun Tan, Bin Ran

CoRR, 2018

2017

Robust tensor decomposition based on Cauchy distribution and its applications.

Yuankai Wu, Huachun Tan, Yong Li, Feng Li, Hongwen He

Neurocomputing, 2017

2016

Short-Term Traffic Prediction Based on Dynamic Tensor Completion.

Huachun Tan, Yuankai Wu, Bin Shen, Peter Jing Jin, Bin Ran

IEEE Trans. Intell. Transp. Syst., 2016

Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework.

Yuankai Wu, Huachun Tan

CoRR, 2016

2010

Implementing Self-Adaptive Software Architecture by Reflective Component Model and Dynamic AOP: A Case Study.

Yuankai Wu, Yijian Wu, Xin Peng, Wenyun Zhao

Proceedings of the 10th International Conference on Quality Software, 2010