| 2026 | AAAI | Fast Guaranteed Robust Local-Smooth Principal Component Separation. | Mingdi Hu, Hailin Wang, Shuaijiang Li, Kexin Shi, Jiangjun Peng |
| 2025 | IJCAI | Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning. | Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng |
| 2025 | IJCAI | Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm. | Jiangjun Peng, Hailin Wang, Xiangyong Cao, Shuang Xu |
| 2025 | IJCNN | A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction. | Jinming Luo, Hailin Wang |
| 2025 | QCE | Applied Physics MS in Quantum and Nanotechnology Program at University of Oregon: Hands-on Training for the Future Quantum Engineers. | Nikolay Zhelev, Benjamin Aleman, David Allcock, Brian Smith, Hailin Wang |
| 2025 | VTC | Multi-modal Fusion for Path Loss Prediction Using Pre-trained Language Model. | Xianli Feng, Xiaoran Liu, Jun Xiong, Hailin Wang, Haitao Zhao |
| 2023 | AAAI | Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness. | Xinling Liu, Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng, Jianjun Wang |
| 2022 | ICASSP | Robust High-Order Tensor Recovery Via Nonconvex Low-Rank Approximation. | Wenjin Qin, Hailin Wang, Weijun Ma, Jianjun Wang |
| 2021 | ICASSP | Non-Convex Sparse Deviation Modeling Via Generative Models. | Yaxi Yang, Hailin Wang, Haiquan Qiu, Jianjun Wang, Yao Wang |
| 2020 | ICASSP | Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion. | Hailin Wang, Feng Zhang, Jianjun Wang, Yao Wang |