Implementing Self-Adaptive Software Architecture by Reflective Component Model and Dynamic AOP: A Case Study. - Yuankai Wu; Yijian Wu; Xin Peng 001; Wenyun Zhao (QSIC, 2010)

Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework. - Yuankai Wu; Huachun Tan (CoRR, 2016)

Short-Term Traffic Prediction Based on Dynamic Tensor Completion. - Huachun Tan; Yuankai Wu; Bin Shen 002; Peter Jing Jin; Bin Ran (IEEE Trans. Intell. Transp. Syst., 2016)

Robust tensor decomposition based on Cauchy distribution and its applications. - Yuankai Wu; Huachun Tan; Yong Li 025; Feng Li; Hongwen He (Neurocomputing, 2017)

Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning. - Yuankai Wu; Huachun Tan; Bin Ran (CoRR, 2018)

ES-CTC: A Deep Neuroevolution Model for Cooperative Intelligent Freeway Traffic Control. - Yuankai Wu; Huachun Tan; Zhuxi Jiang; Bin Ran (CoRR, 2019)

A Fused CP Factorization Method for Incomplete Tensors. - Yuankai Wu; Huachun Tan; Yong Li 025; Jian Zhang 011; Xiaoxuan Chen (IEEE Trans. Neural Networks Learn. Syst., 2019)

Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer Optimization. - Chenyang Xi; Tianyu Shi; Yuankai Wu; Lijun Sun 001 (ITSC, 2020)

Traffic Flow Prediction With Missing Data Imputed by Tensor Completion Methods. - Qin Li 012; Huachun Tan; Yuankai Wu; Linhui Ye; Fan Ding (IEEE Access, 2020)

Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model. - Qin Li 012; Huachun Tan; Xizhu Jiang; Yuankai Wu; Linhui Ye (CoRR, 2020)

Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning. - Tianyu Shi; Jiawei Wang 005; Yuankai Wu; Lijun Sun 001 (CoRR, 2020)

Cross-Type Transfer for Deep Reinforcement Learning Based Hybrid Electric Vehicle Energy Management. - Renzong Lian; Huachun Tan; Jiankun Peng; Qin Li 012; Yuankai Wu (IEEE Trans. Veh. Technol., 2020)

Inductive Graph Neural Networks for Spatiotemporal Kriging. - Yuankai Wu; Dingyi Zhuang; Aurélie Labbe; Lijun Sun 001 (AAAI, 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 (IntelliSys (1), 2021)

A spatiotemporal graph convolution gated recurrent unit model for short-term passenger flow estimation. - Xueqin Wang; Xinyue Xu; Yuankai Wu; Jun Liu 061 (ITSC, 2021)

Individual Mobility Prediction via Attentive Marked Temporal Point Processes. - Yuankai Wu; Zhanhong Cheng; Lijun Sun 001 (CoRR, 2021)

Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging. - Yuankai Wu; Dingyi Zhuang; Mengying Lei; Aurélie Labbe; Lijun Sun 001 (CoRR, 2021)

Nonrecurrent traffic congestion detection with a coupled scalable Bayesian robust tensor factorization model. - Qin Li 012; Huachun Tan; Zhuxi Jiang; Yuankai Wu; Linhui Ye (Neurocomputing, 2021)

A Deep Learning Framework of Autonomous Pilot Agent for Air Traffic Controller Training. - Yi Lin 006; Yuankai Wu; Dongyue Guo; Pan Zhang; Changyu Yin; Bo Yang 063; Jianwei Zhang 013 (IEEE Trans. Hum. Mach. Syst., 2021)

Hybrid Electric Vehicle Energy Management With Computer Vision and Deep Reinforcement Learning. - Yong Wang 044; Huachun Tan; Yuankai Wu; Jiankun Peng (IEEE Trans. Ind. Informatics, 2021)

Benchmarking Deep Reinforcement Learning Based Energy Management Systems for Hybrid Electric Vehicles. - Yuankai Wu; Renzong Lian; Yong Wang 044; Lin Yi (CICAI (2), 2022)

Hand-object Interaction based Semi-automatic Objects Annotation for Human Activity Datasets. - Yuankai Wu; Zhouyi Gu; Marsil Zakour; Rahul Gopal Chaudhari (MMSP, 2022)

Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction. - Yuankai Wu; Hongyu Yang; Yi Lin 006; Hong Liu (CoRR, 2022)

Explainable and Safe Reinforcement Learning for Autonomous Air Mobility. - Lei Wang; Hongyu Yang; Yi Lin 006; Suwan Yin; Yuankai Wu (CoRR, 2022)

Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition. - Qin Li 012; Xuan Yang; Yong Wang 002; Yuankai Wu; Deqiang He (CoRR, 2022)

Automatic repetition instruction generation for air traffic control training using multi-task learning with an improved copy network. - Jianwei Zhang 013; Pan Zhang; Dongyue Guo; Yang Zhou 019; Yuankai Wu; Bo Yang 063; Yi Lin 006 (Knowl. Based Syst., 2022)

An effective spatiotemporal deep learning framework model for short-term passenger flow prediction. - Xueqin Wang; Xinyue Xu; Yuankai Wu; Jun Liu 061 (Soft Comput., 2022)

Detection of Train Driver Fatigue and Distraction Based on Forehead EEG: A Time-Series Ensemble Learning Method. - Chaojie Fan; Yong Peng 002; Shuangling Peng; Honghao Zhang; Yuankai Wu; Sam Kwong (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 001 (IEEE Trans. Intell. Transp. Syst., 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)

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)

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 (SMC, 2023)

Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach. - Chunwei Yang; Xiaoxu Chen; Lijun Sun 001; Hongyu Yang; Yuankai Wu (CoRR, 2023)

Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach. - Jinguo Cheng; Ke Li; Yuxuan Liang; Lijun Sun 001; Junchi Yan; Yuankai Wu (CoRR, 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)

FlightBERT: Binary Encoding Representation for Flight Trajectory Prediction. - Dongyue Guo; Edmond Qi Wu; Yuankai Wu; Jianwei Zhang 013; Rob Law 001; Yi Lin 006 (IEEE Trans. Intell. Transp. Syst., 2023)

Low-Rank Hankel Tensor Completion for Traffic Speed Estimation. - Xudong Wang; Yuankai Wu; Dingyi Zhuang; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2023)

MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting. - Wanlin Cai; Yuxuan Liang; Xianggen Liu; Jianshuai Feng; Yuankai Wu (AAAI, 2024)

Long-Term Action Anticipation Based on Contextual Alignment. - Constantin Patsch; Jinghan Zhang 009; Yuankai Wu; Marsil Zakour; Driton Salihu; Eckehard G. Steinbach (ICASSP, 2024)

NPRF: Neural Painted Radiosity Fields for Neural Implicit Rendering and Surface Reconstruction. - Driton Salihu; Adam Misik; Yuankai Wu; Constantin Patsch; Eckehard G. Steinbach (ICASSP, 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 (ICLR, 2024)

Sim-to-Real Domain Shift in Online Action Detection. - Constantin Patsch; Wael Torjmene; Marsil Zakour; Yuankai Wu; Driton Salihu; Eckehard G. Steinbach (IROS, 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 (IROS, 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 (IROS, 2024)

Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth. - Wei Chen 070; Xixuan Hao; Yuankai Wu; Yuxuan Liang (NeurIPS, 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)

Machina Economicus: A New Paradigm for Prosumers in the Energy Internet of Smart Cities. - Luyang Hou; Jun Yan; Yuankai Wu; Chun Wang; Tie Qiu 001 (CoRR, 2024)

NuwaTS: a Foundation Model Mending Every Incomplete Time Series. - Jinguo Cheng; Chunwei Yang; Wanlin Cai; Yuxuan Liang; Yuankai Wu (CoRR, 2024)

ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks. - Wanlin Cai; Kun Wang; Hao Wu; Xiaoxu Chen; Yuankai Wu (CoRR, 2024)

Multi-Source Information Fusion Graph Convolution Network for traffic flow prediction. - Qin Li 012; Pai Xu; Deqiang He; Yuankai Wu; Huachun Tan; Xuan Yang (Expert Syst. Appl., 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)

A class-incremental learning approach for learning feature-compatible embeddings. - Hongchao An; Jing Yang 017; Xiuhua Zhang; Xiaoli Ruan; Yuankai Wu; Shaobo Li 001; Jianjun Hu (Neural Networks, 2024)

Modeling Spatio-Temporal Dynamical Systems With Neural Discrete Learning and Levels-of-Experts. - Kun Wang 056; Hao Wu 083; Guibin Zhang; Junfeng Fang; Yuxuan Liang; Yuankai Wu; Roger Zimmermann; Yang Wang 015 (IEEE Trans. Knowl. Data Eng., 2024)

Fuel consumption prediction for pre-departure flights using attention-based multi-modal fusion. - Yi Lin 006; Dongyue Guo; Yuankai Wu; Lishuai Li; Edmond Qi Wu; Wenyi Ge (Inf. Fusion, 2024)

Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction. - Yuankai Wu; Hongyu Yang; Yi Lin; Hong Liu (IEEE Trans. Knowl. Data Eng., 2024)

Spatial-Temporal Traffic Modeling With a Fusion Graph Reconstructed by Tensor Decomposition. - Qin Li 012; Xuan Yang; Yong Wang 044; Yuankai Wu; Deqiang He (IEEE Trans. Intell. Transp. Syst., 2024)

TSCL: Timestamp Supervised Contrastive Learning for Action Segmentation. - Constantin Patsch; Yuankai Wu; Driton Salihu; Marsil Zakour; Eckehard G. Steinbach (IEEE Robotics Autom. Lett., 2024)

Long-Term Airport Network Performance Forecasting With Linear Diffusion Graph Networks. - Yuankai Wu; Jing Yang 017; Xiaoxu Chen; Yi Lin 006; Hongyu Yang (IEEE Trans. Intell. Transp. Syst., 2024)

Spatial-Temporal Traffic Prediction With an Interactive Spatial-Enhanced Graph Convolutional Network Model. - Qin Li 012; Pai Xu; Xuan Yang; Yuankai Wu; Hongwen He; Deqiang He (IEEE Trans. Intell. Transp. Syst., 2024)

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 (AAAI, 2025)

Enhancing Real Estate Valuation through Deep Modeling of Spatiotemporal Dependencies and Feature Interactions. - Lin Xu; Yuankai Wu (WWW (Companion Volume), 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 001 (IEEE Access, 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)

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)

AOGN-CZSL: An Attribute- and Object-Guided Network for Compositional Zero-Shot Learning. - Jing Yang 017; Xingjiang Ma; Yuankai Wu; Chengjiang Li; Zhidong Su; Ji Xu 001; Yixiong Feng (Inf. Fusion, 2025)

Generative adversarial network for car following trajectory generation and anomaly detection. - Haotian Shi; Shuoxuan Dong; Yuankai Wu; Qinghui Nie; Yang Zhou 019; Bin Ran (J. Intell. Transp. Syst., 2025)

Memory-based Ensemble Learning in CMR Semantic Segmentation. - Yiwei Liu; Ziyi Wu; Liang Zhong; Lingyi Wen; Yuankai Wu (CoRR, 2025)

Rethinking Urban Mobility Prediction: A Multivariate Time Series Forecasting Approach. - Jinguo Cheng; Ke Li; Yuxuan Liang; Lijun Sun 001; Junchi Yan; Yuankai Wu (IEEE Trans. Intell. Transp. Syst., 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, 2025)

Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning. - Jia Liu; Jinguo Cheng; Xia Fang; Zhenyuan Ma; Yuankai Wu (CoRR, 2025)

Technical Report for Egocentric Mistake Detection for the HoloAssist Challenge. - Constantin Patsch; Marsil Zakour; Yuankai Wu; Eckehard G. Steinbach (CoRR, 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, 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, 2025)

Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting. - Ziyu Zhou; Yiming Huang; Yanyun Wang 003; Yuankai Wu; James T. Kwok; Yuxuan Liang (CoRR, 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, 2025)

Graph neural networks with flow conservation constraints for real-time origin-destination matrix completion. - Zhongyue Zhang; Jing Yang 017; Xiaoxu Chen; Yuankai Wu (Pattern Recognit., 2026)