| 2026 | AAAI | Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting. | Ziyu Zhou, Yiming Huang, Yanyun Wang, Yuankai Wu, James Kwok, Yuxuan Liang |
| 2026 | ACL | DMSD: Dual-Modal Semantic Disentanglement for Compositional Zero-Shot Learning. | Pan Yang, Jing Yang, Ruan Xiao Li, Yuling Chen, Yuankai Wu, Quan Zhou, Xu Wang |
| 2025 | AAAI | 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 |
| 2025 | ICCV | MistSense: Versatile Online Detection of Procedural and Execution Mistakes. | Constantin Patsch, Yuankai Wu, Marsil Zakour, Driton Salihu, Eckehard Steinbach |
| 2025 | IJCAI | 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 |
| 2025 | IJCNN | Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-Tuning. | Jia Liu, Jinguo Cheng, Xia Fang, Zhenyuan Ma, Yuankai Wu |
| 2025 | IROS | Multi-Modal Graph Convolutional Network with Sinusoidal Encoding for Robust Human Action Segmentation. | Hao Xing, Kai Zhe Boey, Yuankai Wu, Darius Burschka, Gordon Cheng |
| 2025 | WWW | Enhancing Real Estate Valuation through Deep Modeling of Spatiotemporal Dependencies and Feature Interactions. | Lin Xu, Yuankai Wu |
| 2024 | AAAI | MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting. | Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu |
| 2024 | ICASSP | Long-Term Action Anticipation Based on Contextual Alignment. | Constantin Patsch, Jinghan Zhang, Yuankai Wu, Marsil Zakour, Driton Salihu, Eckehard G. Steinbach |
| 2024 | ICASSP | NPRF: Neural Painted Radiosity Fields for Neural Implicit Rendering and Surface Reconstruction. | Driton Salihu, Adam Misik, Yuankai Wu, Constantin Patsch, Eckehard G. Steinbach |
| 2024 | ICLR | DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation. | Driton Salihu, Adam Misik, Yuankai Wu, Constantin Patsch, Fabin Seguel, Eckehard G. Steinbach |
| 2024 | IROS | Sim-to-Real Domain Shift in Online Action Detection. | Constantin Patsch, Wael Torjmene, Marsil Zakour, Yuankai Wu, Driton Salihu, Eckehard G. Steinbach |
| 2024 | IROS | 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 |
| 2024 | IROS | Rethinking 3D Geometric Object Features for Enhancing Skeleton-based Action Recognition. | Yuankai Wu, Chi Wang, Driton Salihu, Constantin Patsch, Marsil Zakour, Eckehard G. Steinbach |
| 2023 | IROS | 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 |
| 2023 | SMC | 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 |
| 2022 | MMSP | Hand-object Interaction based Semi-automatic Objects Annotation for Human Activity Datasets. | Yuankai Wu, Zhouyi Gu, Marsil Zakour, Rahul Gopal Chaudhari |
| 2021 | AAAI | Inductive Graph Neural Networks for Spatiotemporal Kriging. | Yuankai Wu, Dingyi Zhuang, Aurlie Labbe, Lijun Sun |