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Yuankai Wu
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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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last updated on 2024-12-02 21:29 CET by the dblp team
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