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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j25]Lei Wang, Hongyu Yang, Yi Lin, Suwan Yin
, Yuankai Wu:
Enhancing air traffic control: A transparent deep reinforcement learning framework for autonomous conflict resolution. Expert Syst. Appl. 260: 125389 (2025)- 2024
- [j24]Qin Li, Pai Xu, Deqiang He, Yuankai Wu, Huachun Tan, Xuan Yang:
Multi-Source Information Fusion Graph Convolution Network for traffic flow prediction. Expert Syst. Appl. 252: 124288 (2024) - [j23]Yi Lin, Dongyue Guo, Yuankai Wu, Lishuai Li, Edmond Qi Wu, Wenyi Ge:
Fuel consumption prediction for pre-departure flights using attention-based multi-modal fusion. Inf. Fusion 101: 101983 (2024) - [j22]Site Mo, Haoxin Wang, Bixiong Li, Songhai Fan, Yuankai Wu, Xianggen Liu:
TimeSQL: Improving multivariate time series forecasting with multi-scale patching and smooth quadratic loss. Inf. Sci. 671: 120652 (2024) - [j21]Hongchao An, Jing Yang, Xiuhua Zhang, Xiaoli Ruan, Yuankai Wu, Shaobo Li, Jianjun Hu:
A class-incremental learning approach for learning feature-compatible embeddings. Neural Networks 180: 106685 (2024) - [j20]Constantin Patsch, Yuankai Wu, Driton Salihu, Marsil Zakour, Eckehard G. Steinbach:
TSCL: Timestamp Supervised Contrastive Learning for Action Segmentation. IEEE Robotics Autom. Lett. 9(9): 7485-7492 (2024) - [j19]Qin Li, Xuan Yang, Yong Wang, Yuankai Wu, Deqiang He:
Spatial-Temporal Traffic Modeling With a Fusion Graph Reconstructed by Tensor Decomposition. IEEE Trans. Intell. Transp. Syst. 25(2): 1749-1760 (2024) - [j18]Yuankai Wu, Jing Yang, Xiaoxu Chen, Yi Lin, Hongyu Yang:
Long-Term Airport Network Performance Forecasting With Linear Diffusion Graph Networks. IEEE Trans. Intell. Transp. Syst. 25(11): 18264-18278 (2024) - [j17]Yuankai Wu, Hongyu Yang, Yi Lin, Hong Liu:
Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction. IEEE Trans. Knowl. Data Eng. 36(1): 386-400 (2024) - [c13]Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu:
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting. AAAI 2024: 11141-11149 - [c12]Driton Salihu, Adam Misik, Yuankai Wu, Constantin Patsch, Eckehard G. Steinbach:
NPRF: Neural Painted Radiosity Fields for Neural Implicit Rendering and Surface Reconstruction. ICASSP 2024: 2865-2869 - [c11]Constantin Patsch, Jinghan Zhang, Yuankai Wu, Marsil Zakour, Driton Salihu, Eckehard G. Steinbach:
Long-Term Action Anticipation Based on Contextual Alignment. ICASSP 2024: 5920-5924 - [c10]Driton Salihu, Adam Misik, Yuankai Wu, Constantin Patsch, Fabián Seguel, Eckehard G. Steinbach:
DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation. ICLR 2024 - [i22]Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu:
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting. CoRR abs/2401.00423 (2024) - [i21]Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang:
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts. CoRR abs/2402.05970 (2024) - [i20]Marsil Zakour, Partha Pratim Nath, Ludwig Lohmer, Emre Faik Gökçe, Martin Piccolrovazzi, Constantin Patsch, Yuankai Wu, Rahul Gopal Chaudhari, Eckehard G. Steinbach:
ADL4D: Towards A Contextually Rich Dataset for 4D Activities of Daily Living. CoRR abs/2402.17758 (2024) - [i19]Luyang Hou, Jun Yan, Yuankai Wu, Chun Wang, Tie Qiu:
Machina Economicus: A New Paradigm for Prosumers in the Energy Internet of Smart Cities. CoRR abs/2403.14660 (2024) - [i18]Jinguo Cheng, Chunwei Yang, Wanlin Cai, Yuxuan Liang, Yuankai Wu:
NuwaTS: a Foundation Model Mending Every Incomplete Time Series. CoRR abs/2405.15317 (2024) - [i17]Wanlin Cai, Kun Wang, Hao Wu, Xiaoxu Chen, Yuankai Wu:
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks. CoRR abs/2405.18036 (2024) - 2023
- [j16]Jianshuai Feng, Tianyu Shi, Yuankai Wu, Xiang Xie, Hongwen He, Huachun Tan:
Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy. Sensors 23(10): 4659 (2023) - [j15]Dongyue Guo, Edmond Qi Wu, Yuankai Wu, Jianwei Zhang, Rob Law, Yi Lin:
FlightBERT: Binary Encoding Representation for Flight Trajectory Prediction. IEEE Trans. Intell. Transp. Syst. 24(2): 1828-1842 (2023) - [j14]Xudong Wang, Yuankai Wu, Dingyi Zhuang, Lijun Sun:
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation. IEEE Trans. Intell. Transp. Syst. 24(5): 4862-4871 (2023) - [c9]Yuankai Wu, Xin Su, Driton Salihu, Hao Xing, Marsil Zakour, Constantin Patsch:
Modeling Action Spatiotemporal Relationships Using Graph-Based Class-Level Attention Network for Long-Term Action Detection. IROS 2023: 6719-6726 - [c8]Qinghong Guo, Renzong Lian, Kuo Ma, Luyang Hou, Yuankai Wu:
Adapting Energy Management Strategies for Hybrid Electric Vehicles in Dynamic Driving Cycles Through Recurrent Policy. SMC 2023: 2775-2782 - [i16]Chunwei Yang, Xiaoxu Chen, Lijun Sun, Hongyu Yang, Yuankai Wu:
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach. CoRR abs/2308.01011 (2023) - [i15]Site Mo, Haoxin Wang, Bixiong Li, Songhai Fan, Yuankai Wu, Xianggen Liu:
TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss. CoRR abs/2311.11285 (2023) - [i14]Jinguo Cheng, Ke Li, Yuxuan Liang, Lijun Sun, Junchi Yan, Yuankai Wu:
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach. CoRR abs/2312.01699 (2023) - 2022
- [j13]Jianwei Zhang, Pan Zhang, Dongyue Guo, Yang Zhou, Yuankai Wu, Bo Yang, Yi Lin:
Automatic repetition instruction generation for air traffic control training using multi-task learning with an improved copy network. Knowl. Based Syst. 241: 108232 (2022) - [j12]Xueqin Wang, Xinyue Xu, Yuankai Wu, Jun Liu:
An effective spatiotemporal deep learning framework model for short-term passenger flow prediction. Soft Comput. 26(12): 5523-5538 (2022) - [j11]Hailong Zhang, Yuankai Wu, Huachun Tan, Hanxuan Dong, Fan Ding, Bin Ran:
Understanding and Modeling Urban Mobility Dynamics via Disentangled Representation Learning. IEEE Trans. Intell. Transp. Syst. 23(3): 2010-2020 (2022) - [j10]Chaojie Fan, Yong Peng, Shuangling Peng, Honghao Zhang, Yuankai Wu, Sam Kwong:
Detection of Train Driver Fatigue and Distraction Based on Forehead EEG: A Time-Series Ensemble Learning Method. IEEE Trans. Intell. Transp. Syst. 23(8): 13559-13569 (2022) - [j9]Mengying Lei, Aurélie Labbe, Yuankai Wu, Lijun Sun:
Bayesian Kernelized Matrix Factorization for Spatiotemporal Traffic Data Imputation and Kriging. IEEE Trans. Intell. Transp. Syst. 23(10): 18962-18974 (2022) - [c7]Yuankai Wu, Renzong Lian, Yong Wang, Lin Yi:
Benchmarking Deep Reinforcement Learning Based Energy Management Systems for Hybrid Electric Vehicles. CICAI (2) 2022: 613-625 - [c6]Yuankai Wu, Zhouyi Gu, Marsil Zakour, Rahul Gopal Chaudhari:
Hand-object Interaction based Semi-automatic Objects Annotation for Human Activity Datasets. MMSP 2022: 1-6 - [i13]Yuankai Wu, Hongyu Yang, Yi Lin, Hong Liu:
Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction. CoRR abs/2207.06959 (2022) - [i12]Lei Wang, Hongyu Yang, Yi Lin, Suwan Yin, Yuankai Wu:
Explainable and Safe Reinforcement Learning for Autonomous Air Mobility. CoRR abs/2211.13474 (2022) - [i11]Qin Li, Xuan Yang, Yong Wang, Yuankai Wu, Deqiang He:
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition. CoRR abs/2212.05653 (2022) - 2021
- [j8]Qin Li, Huachun Tan, Zhuxi Jiang, Yuankai Wu, Linhui Ye:
Nonrecurrent traffic congestion detection with a coupled scalable Bayesian robust tensor factorization model. Neurocomputing 430: 138-149 (2021) - [j7]Yi Lin, Yuankai Wu, Dongyue Guo, Pan Zhang, Changyu Yin, Bo Yang, Jianwei Zhang:
A Deep Learning Framework of Autonomous Pilot Agent for Air Traffic Controller Training. IEEE Trans. Hum. Mach. Syst. 51(5): 442-450 (2021) - [j6]Yong Wang, Huachun Tan, Yuankai Wu, Jiankun Peng:
Hybrid Electric Vehicle Energy Management With Computer Vision and Deep Reinforcement Learning. IEEE Trans. Ind. Informatics 17(6): 3857-3868 (2021) - [c5]Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun:
Inductive Graph Neural Networks for Spatiotemporal Kriging. AAAI 2021: 4478-4485 - [c4]Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele:
BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. IntelliSys (1) 2021: 148-167 - [c3]Xueqin Wang, Xinyue Xu, Yuankai Wu, Jun Liu:
A spatiotemporal graph convolution gated recurrent unit model for short-term passenger flow estimation. ITSC 2021: 2312-2317 - [i10]Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele:
BreakingBED - Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. CoRR abs/2103.08031 (2021) - [i9]Xudong Wang, Yuankai Wu, Dingyi Zhuang, Lijun Sun:
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation. CoRR abs/2105.11335 (2021) - [i8]Yuankai Wu, Zhanhong Cheng, Lijun Sun:
Individual Mobility Prediction via Attentive Marked Temporal Point Processes. CoRR abs/2109.02715 (2021) - [i7]Yuankai Wu, Dingyi Zhuang, Mengying Lei, Aurélie Labbe, Lijun Sun:
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging. CoRR abs/2109.12144 (2021) - 2020
- [j5]Qin Li, Huachun Tan, Yuankai Wu, Linhui Ye, Fan Ding:
Traffic Flow Prediction With Missing Data Imputed by Tensor Completion Methods. IEEE Access 8: 63188-63201 (2020) - [j4]Renzong Lian, Huachun Tan, Jiankun Peng, Qin Li, Yuankai Wu:
Cross-Type Transfer for Deep Reinforcement Learning Based Hybrid Electric Vehicle Energy Management. IEEE Trans. Veh. Technol. 69(8): 8367-8380 (2020) - [c2]Chenyang Xi, Tianyu Shi, Yuankai Wu, Lijun Sun:
Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer Optimization. ITSC 2020: 1-6 - [i6]Qin Li, Huachun Tan, Xizhu Jiang, Yuankai Wu, Linhui Ye:
Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model. CoRR abs/2005.04567 (2020) - [i5]Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun:
Inductive Graph Neural Networks for Spatiotemporal Kriging. CoRR abs/2006.07527 (2020) - [i4]Tianyu Shi, Jiawei Wang, Yuankai Wu, Lijun Sun:
Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning. CoRR abs/2007.02794 (2020)
2010 – 2019
- 2019
- [j3]Yuankai Wu, Huachun Tan, Yong Li, Jian Zhang, Xiaoxuan Chen:
A Fused CP Factorization Method for Incomplete Tensors. IEEE Trans. Neural Networks Learn. Syst. 30(3): 751-764 (2019) - [i3]Yuankai Wu, Huachun Tan, Zhuxi Jiang, Bin Ran:
ES-CTC: A Deep Neuroevolution Model for Cooperative Intelligent Freeway Traffic Control. CoRR abs/1905.04083 (2019) - 2018
- [i2]Yuankai Wu, Huachun Tan, Bin Ran:
Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning. CoRR abs/1810.10952 (2018) - 2017
- [j2]Yuankai Wu, Huachun Tan, Yong Li, Feng Li, Hongwen He:
Robust tensor decomposition based on Cauchy distribution and its applications. Neurocomputing 223: 107-117 (2017) - 2016
- [j1]Huachun Tan, Yuankai Wu, Bin Shen, Peter Jing Jin, Bin Ran:
Short-Term Traffic Prediction Based on Dynamic Tensor Completion. IEEE Trans. Intell. Transp. Syst. 17(8): 2123-2133 (2016) - [i1]Yuankai Wu, Huachun Tan:
Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework. CoRR abs/1612.01022 (2016) - 2010
- [c1]Yuankai Wu, Yijian Wu, Xin Peng, Wenyun Zhao:
Implementing Self-Adaptive Software Architecture by Reflective Component Model and Dynamic AOP: A Case Study. QSIC 2010: 288-293
Coauthor Index
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