Yuankai Wu - RankMe

94 papers A* 7A 5B 3C 1Misc 2Journal 70Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ALAS: Attention mechanism-based and load-aware active scheduling for server resource optimization in complex scenarios. Displays Sina Xia, Jing Yang, Xiaoli Ruan, Renjie Gong, Chengjiang Li, Yanping Chen, Yuankai Wu, Wei Zhang
2026	J	`jnl`	Graph neural networks with flow conservation constraints for real-time origin-destination matrix completion. Pattern Recognit. Zhongyue Zhang, Jing Yang, Xiaoxu Chen, Yuankai Wu
2026	J	`jnl`	PFGNet: A Fully Convolutional Frequency-Guided Peripheral Gating Network for Efficient Spatiotemporal Predictive Learning. CoRR Xinyong Cai, Changbin Sun, Yong Wang, Hongyu Yang, Yuankai Wu
2026	A*	`conf`	Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting. AAAI Ziyu Zhou, Yiming Huang, Yanyun Wang, Yuankai Wu, James Kwok, Yuxuan Liang
2026	J	`jnl`	Self-attention and cross-modal attention for audio-visual zero-shot learning. Inf. Fusion Jing Yang, Xiaoyong Li, Yuankai Wu, Yuling Chen, Xiaoli Ruan, Chengjiang Li, Qing Hou
2026	J	`jnl`	WaveSFNet: A Wavelet-Based Codec and Spatial-Frequency Dual-Domain Gating Network for Spatiotemporal Prediction. CoRR Xinyong Cai, Runming Xie, Hu Chen, Yuankai Wu
2025	J	`jnl`	A Multi-Level Sentiment Analysis Framework for Financial Texts. CoRR Yiwei Liu, Junbo Wang, Lei Long, Xin Li, Ruiting Ma, Yuankai Wu, Xuebin Chen
2025	J	`jnl`	AOGN-CZSL: An Attribute- and Object-Guided Network for Compositional Zero-Shot Learning. Inf. Fusion Jing Yang, Xingjiang Ma, Yuankai Wu, Chengjiang Li, Zhidong Su, Ji Xu, Yixiong Feng
2025	J	`jnl`	Aeolus: A Multi-structural Flight Delay Dataset. CoRR Lin Xu, Xinyun Yuan, Yuxuan Liang, Suwan Yin, Yuankai Wu
2025	A*	`conf`	AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks. AAAI Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang
2025	J	`jnl`	AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks. CoRR Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang
2025	—	`conf`	Enhancing Real Estate Valuation through Deep Modeling of Spatiotemporal Dependencies and Feature Interactions. WWW (Companion Volume) Lin Xu, Yuankai Wu
2025	J	`jnl`	Enhancing air traffic control: A transparent deep reinforcement learning framework for autonomous conflict resolution. Expert Syst. Appl. Lei Wang, Hongyu Yang, Yi Lin, Suwan Yin, Yuankai Wu
2025	B	`conf`	Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-Tuning. IJCNN Jia Liu, Jinguo Cheng, Xia Fang, Zhenyuan Ma, Yuankai Wu
2025	J	`jnl`	Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning. CoRR Jia Liu, Jinguo Cheng, Xia Fang, Zhenyuan Ma, Yuankai Wu
2025	J	`jnl`	Generative adversarial network for car following trajectory generation and anomaly detection. J. Intell. Transp. Syst. Haotian Shi, Shuoxuan Dong, Yuankai Wu, Qinghui Nie, Yang Zhou, Bin Ran
2025	J	`jnl`	GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement. CoRR Jinfan Tang, Kunming Wu, Ruifeng Gongxie, Yuya He, Yuankai Wu
2025	J	`jnl`	MSM-TFL: A Multiservice, Multitask Transformer Framework for Edge Load Prediction. IEEE Internet Things J. Shuanglin Zou, Jing Yang, Xiaoli Ruan, Yongbin Qin, Yuankai Wu, Chengjiang Li, Wei Zhang
2025	J	`jnl`	Memory-based Ensemble Learning in CMR Semantic Segmentation. CoRR Yiwei Liu, Ziyi Wu, Liang Zhong, Lingyi Wen, Yuankai Wu
2025	A	`conf`	Multi-Modal Graph Convolutional Network with Sinusoidal Encoding for Robust Human Action Segmentation. IROS Hao Xing, Kai Zhe Boey, Yuankai Wu, Darius Burschka, Gordon Cheng
2025	J	`jnl`	Multi-Modal Graph Convolutional Network with Sinusoidal Encoding for Robust Human Action Segmentation. CoRR Hao Xing, Kai Zhe Boey, Yuankai Wu, Darius Burschka, Gordon Cheng
2025	J	`jnl`	Real-Time Human Action Anomaly Detection Through Two-Stream Spatial-Temporal Networks. IEEE Access Chuan Peng, Zebin Jiang, Mao Lin, Hongbin Hu, Cen Qing, Yuankai Wu, Xiao Xu
2025	A*	`conf`	Reinforcement Learning for Hybrid Charging Stations Planning and Operation Considering Fixed and Mobile Chargers. IJCAI Yanchen Zhu, Honghui Zou, Chufan Liu, Yuyu Luo, Yuankai Wu, Yuxuan Liang
2025	J	`jnl`	Reinforcement learning for hybrid charging stations planning and operation considering fixed and mobile chargers. CoRR Yanchen Zhu, Honghui Zou, Chufan Liu, Yuyu Luo, Yuankai Wu, Yuxuan Liang
2025	J	`jnl`	Rethinking Urban Mobility Prediction: A Multivariate Time Series Forecasting Approach. IEEE Trans. Intell. Transp. Syst. Jinguo Cheng, Ke Li, Yuxuan Liang, Lijun Sun, Junchi Yan, Yuankai Wu
2025	J	`jnl`	Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting. CoRR Ziyu Zhou, Yiming Huang, Yanyun Wang, Yuankai Wu, James T. Kwok, Yuxuan Liang
2025	J	`jnl`	Taming deep reinforcement learning-based conflict resolution in air traffic control using geometric technique. Expert Syst. Appl. Lei Wang, Hongyu Yang, Yunxiang Han, Suwan Yin, Yuankai Wu
2025	J	`jnl`	Technical Report for Egocentric Mistake Detection for the HoloAssist Challenge. CoRR Constantin Patsch, Marsil Zakour, Yuankai Wu, Eckehard G. Steinbach
2025	B	`conf`	Towards Foundation Model for Spatiotemporal Data Analysis. SSTD Yuankai Wu, Xinyu Chen, Dingyi Zhuang
2024	J	`jnl`	A class-incremental learning approach for learning feature-compatible embeddings. Neural Networks Hongchao An, Jing Yang, Xiuhua Zhang, Xiaoli Ruan, Yuankai Wu, Shaobo Li, Jianjun Hu
2024	J	`jnl`	ADL4D: Towards A Contextually Rich Dataset for 4D Activities of Daily Living. CoRR Marsil Zakour, Partha Pratim Nath, Ludwig Lohmer, Emre Faik Gökçe, Martin Piccolrovazzi, Constantin Patsch, Yuankai Wu, Rahul Gopal Chaudhari, Eckehard G. Steinbach
2024	A*	`conf`	DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation. ICLR Driton Salihu, Adam Misik, Yuankai Wu, Constantin Patsch, Fabián Seguel, Eckehard G. Steinbach
2024	A	`conf`	Enhanced Robotic Assistance for Human Activities through Human-Object Interaction Segment Prediction. IROS Yuankai Wu, Rayene Messaoud, Arne-Christoph Hildebrandt, Marco Baldini, Driton Salihu, Constantin Patsch, Eckehard G. Steinbach
2024	J	`jnl`	ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks. CoRR Wanlin Cai, Kun Wang, Hao Wu, Xiaoxu Chen, Yuankai Wu
2024	J	`jnl`	Fuel consumption prediction for pre-departure flights using attention-based multi-modal fusion. Inf. Fusion Yi Lin, Dongyue Guo, Yuankai Wu, Lishuai Li, Edmond Qi Wu, Wenyi Ge
2024	Misc	`conf`	Long-Term Action Anticipation Based on Contextual Alignment. ICASSP Constantin Patsch, Jinghan Zhang, Yuankai Wu, Marsil Zakour, Driton Salihu, Eckehard G. Steinbach
2024	J	`jnl`	Long-Term Airport Network Performance Forecasting With Linear Diffusion Graph Networks. IEEE Trans. Intell. Transp. Syst. Yuankai Wu, Jing Yang, Xiaoxu Chen, Yi Lin, Hongyu Yang
2024	J	`jnl`	MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting. CoRR Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu
2024	A*	`conf`	MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting. AAAI Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu
2024	J	`jnl`	Machina Economicus: A New Paradigm for Prosumers in the Energy Internet of Smart Cities. CoRR Luyang Hou, Jun Yan, Yuankai Wu, Chun Wang, Tie Qiu
2024	J	`jnl`	Modeling Spatio-Temporal Dynamical Systems With Neural Discrete Learning and Levels-of-Experts. IEEE Trans. Knowl. Data Eng. Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang
2024	J	`jnl`	Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts. CoRR Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang
2024	J	`jnl`	Multi-Source Information Fusion Graph Convolution Network for traffic flow prediction. Expert Syst. Appl. Qin Li, Pai Xu, Deqiang He, Yuankai Wu, Huachun Tan, Xuan Yang
2024	Misc	`conf`	NPRF: Neural Painted Radiosity Fields for Neural Implicit Rendering and Surface Reconstruction. ICASSP Driton Salihu, Adam Misik, Yuankai Wu, Constantin Patsch, Eckehard G. Steinbach
2024	J	`jnl`	NuwaTS: a Foundation Model Mending Every Incomplete Time Series. CoRR Jinguo Cheng, Chunwei Yang, Wanlin Cai, Yuxuan Liang, Yuankai Wu
2024	A	`conf`	Rethinking 3D Geometric Object Features for Enhancing Skeleton-based Action Recognition. IROS Yuankai Wu, Chi Wang, Driton Salihu, Constantin Patsch, Marsil Zakour, Eckehard G. Steinbach
2024	A	`conf`	Sim-to-Real Domain Shift in Online Action Detection. IROS Constantin Patsch, Wael Torjmene, Marsil Zakour, Yuankai Wu, Driton Salihu, Eckehard G. Steinbach
2024	J	`jnl`	Spatial-Temporal Traffic Modeling With a Fusion Graph Reconstructed by Tensor Decomposition. IEEE Trans. Intell. Transp. Syst. Qin Li, Xuan Yang, Yong Wang, Yuankai Wu, Deqiang He
2024	J	`jnl`	Spatial-Temporal Traffic Prediction With an Interactive Spatial-Enhanced Graph Convolutional Network Model. IEEE Trans. Intell. Transp. Syst. Qin Li, Pai Xu, Xuan Yang, Yuankai Wu, Hongwen He, Deqiang He
2024	J	`jnl`	Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction. IEEE Trans. Knowl. Data Eng. Yuankai Wu, Hongyu Yang, Yi Lin, Hong Liu
2024	J	`jnl`	TSCL: Timestamp Supervised Contrastive Learning for Action Segmentation. IEEE Robotics Autom. Lett. Constantin Patsch, Yuankai Wu, Driton Salihu, Marsil Zakour, Eckehard G. Steinbach
2024	A*	`conf`	Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth. NeurIPS Wei Chen, Xixuan Hao, Yuankai Wu, Yuxuan Liang
2024	J	`jnl`	TimeSQL: Improving multivariate time series forecasting with multi-scale patching and smooth quadratic loss. Inf. Sci. Site Mo, Haoxin Wang, Bixiong Li, Songhai Fan, Yuankai Wu, Xianggen Liu
2023	B	`conf`	Adapting Energy Management Strategies for Hybrid Electric Vehicles in Dynamic Driving Cycles Through Recurrent Policy. SMC Qinghong Guo, Renzong Lian, Kuo Ma, Luyang Hou, Yuankai Wu
2023	J	`jnl`	Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach. CoRR Chunwei Yang, Xiaoxu Chen, Lijun Sun, Hongyu Yang, Yuankai Wu
2023	J	`jnl`	FlightBERT: Binary Encoding Representation for Flight Trajectory Prediction. IEEE Trans. Intell. Transp. Syst. Dongyue Guo, Edmond Qi Wu, Yuankai Wu, Jianwei Zhang, Rob Law, Yi Lin
2023	J	`jnl`	Low-Rank Hankel Tensor Completion for Traffic Speed Estimation. IEEE Trans. Intell. Transp. Syst. Xudong Wang, Yuankai Wu, Dingyi Zhuang, Lijun Sun
2023	A	`conf`	Modeling Action Spatiotemporal Relationships Using Graph-Based Class-Level Attention Network for Long-Term Action Detection. IROS Yuankai Wu, Xin Su, Driton Salihu, Hao Xing, Marsil Zakour, Constantin Patsch
2023	J	`jnl`	Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy. Sensors Jianshuai Feng, Tianyu Shi, Yuankai Wu, Xiang Xie, Hongwen He, Huachun Tan
2023	J	`jnl`	Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach. CoRR Jinguo Cheng, Ke Li, Yuxuan Liang, Lijun Sun, Junchi Yan, Yuankai Wu
2023	J	`jnl`	TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss. CoRR Site Mo, Haoxin Wang, Bixiong Li, Songhai Fan, Yuankai Wu, Xianggen Liu
2022	J	`jnl`	An effective spatiotemporal deep learning framework model for short-term passenger flow prediction. Soft Comput. Xueqin Wang, Xinyue Xu, Yuankai Wu, Jun Liu
2022	J	`jnl`	Automatic repetition instruction generation for air traffic control training using multi-task learning with an improved copy network. Knowl. Based Syst. Jianwei Zhang, Pan Zhang, Dongyue Guo, Yang Zhou, Yuankai Wu, Bo Yang, Yi Lin
2022	J	`jnl`	Bayesian Kernelized Matrix Factorization for Spatiotemporal Traffic Data Imputation and Kriging. IEEE Trans. Intell. Transp. Syst. Mengying Lei, Aurélie Labbe, Yuankai Wu, Lijun Sun
2022	—	`conf`	Benchmarking Deep Reinforcement Learning Based Energy Management Systems for Hybrid Electric Vehicles. CICAI (2) Yuankai Wu, Renzong Lian, Yong Wang, Lin Yi
2022	J	`jnl`	Detection of Train Driver Fatigue and Distraction Based on Forehead EEG: A Time-Series Ensemble Learning Method. IEEE Trans. Intell. Transp. Syst. Chaojie Fan, Yong Peng, Shuangling Peng, Honghao Zhang, Yuankai Wu, Sam Kwong
2022	J	`jnl`	Explainable and Safe Reinforcement Learning for Autonomous Air Mobility. CoRR Lei Wang, Hongyu Yang, Yi Lin, Suwan Yin, Yuankai Wu
2022	C	`conf`	Hand-object Interaction based Semi-automatic Objects Annotation for Human Activity Datasets. MMSP Yuankai Wu, Zhouyi Gu, Marsil Zakour, Rahul Gopal Chaudhari
2022	J	`jnl`	Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition. CoRR Qin Li, Xuan Yang, Yong Wang, Yuankai Wu, Deqiang He
2022	J	`jnl`	Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction. CoRR Yuankai Wu, Hongyu Yang, Yi Lin, Hong Liu
2022	J	`jnl`	Understanding and Modeling Urban Mobility Dynamics via Disentangled Representation Learning. IEEE Trans. Intell. Transp. Syst. Hailong Zhang, Yuankai Wu, Huachun Tan, Hanxuan Dong, Fan Ding, Bin Ran
2021	J	`jnl`	A Deep Learning Framework of Autonomous Pilot Agent for Air Traffic Controller Training. IEEE Trans. Hum. Mach. Syst. Yi Lin, Yuankai Wu, Dongyue Guo, Pan Zhang, Changyu Yin, Bo Yang, Jianwei Zhang
2021	—	`conf`	A spatiotemporal graph convolution gated recurrent unit model for short-term passenger flow estimation. ITSC Xueqin Wang, Xinyue Xu, Yuankai Wu, Jun Liu
2021	J	`jnl`	BreakingBED - Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. CoRR Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021	—	`conf`	BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. IntelliSys (1) Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021	J	`jnl`	Hybrid Electric Vehicle Energy Management With Computer Vision and Deep Reinforcement Learning. IEEE Trans. Ind. Informatics Yong Wang, Huachun Tan, Yuankai Wu, Jiankun Peng
2021	J	`jnl`	Individual Mobility Prediction via Attentive Marked Temporal Point Processes. CoRR Yuankai Wu, Zhanhong Cheng, Lijun Sun
2021	A*	`conf`	Inductive Graph Neural Networks for Spatiotemporal Kriging. AAAI Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun
2021	J	`jnl`	Low-Rank Hankel Tensor Completion for Traffic Speed Estimation. CoRR Xudong Wang, Yuankai Wu, Dingyi Zhuang, Lijun Sun
2021	J	`jnl`	Nonrecurrent traffic congestion detection with a coupled scalable Bayesian robust tensor factorization model. Neurocomputing Qin Li, Huachun Tan, Zhuxi Jiang, Yuankai Wu, Linhui Ye
2021	J	`jnl`	Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging. CoRR Yuankai Wu, Dingyi Zhuang, Mengying Lei, Aurélie Labbe, Lijun Sun
2020	J	`jnl`	Cross-Type Transfer for Deep Reinforcement Learning Based Hybrid Electric Vehicle Energy Management. IEEE Trans. Veh. Technol. Renzong Lian, Huachun Tan, Jiankun Peng, Qin Li, Yuankai Wu
2020	—	`conf`	Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer Optimization. ITSC Chenyang Xi, Tianyu Shi, Yuankai Wu, Lijun Sun
2020	J	`jnl`	Inductive Graph Neural Networks for Spatiotemporal Kriging. CoRR Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun
2020	J	`jnl`	Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model. CoRR Qin Li, Huachun Tan, Xizhu Jiang, Yuankai Wu, Linhui Ye
2020	J	`jnl`	Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning. CoRR Tianyu Shi, Jiawei Wang, Yuankai Wu, Lijun Sun
2020	J	`jnl`	Traffic Flow Prediction With Missing Data Imputed by Tensor Completion Methods. IEEE Access Qin Li, Huachun Tan, Yuankai Wu, Linhui Ye, Fan Ding
2019	J	`jnl`	A Fused CP Factorization Method for Incomplete Tensors. IEEE Trans. Neural Networks Learn. Syst. Yuankai Wu, Huachun Tan, Yong Li, Jian Zhang, Xiaoxuan Chen
2019	J	`jnl`	ES-CTC: A Deep Neuroevolution Model for Cooperative Intelligent Freeway Traffic Control. CoRR Yuankai Wu, Huachun Tan, Zhuxi Jiang, Bin Ran
2018	J	`jnl`	Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning. CoRR Yuankai Wu, Huachun Tan, Bin Ran
2017	J	`jnl`	Robust tensor decomposition based on Cauchy distribution and its applications. Neurocomputing Yuankai Wu, Huachun Tan, Yong Li, Feng Li, Hongwen He
2016	J	`jnl`	Short-Term Traffic Prediction Based on Dynamic Tensor Completion. IEEE Trans. Intell. Transp. Syst. Huachun Tan, Yuankai Wu, Bin Shen, Peter Jing Jin, Bin Ran
2016	J	`jnl`	Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework. CoRR Yuankai Wu, Huachun Tan
2010	—	`conf`	Implementing Self-Adaptive Software Architecture by Reflective Component Model and Dynamic AOP: A Case Study. QSIC Yuankai Wu, Yijian Wu, Xin Peng, Wenyun Zhao