| 2024 | AAAI | Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. | Renjie Wu, Hu Wang, Feras Dayoub, Hsiang-Ting Chen |
| 2023 | ICDM | Matrix Profile XXIX: C | Sadaf Tafazoli, Yue Lu, Renjie Wu, Thirumalai Vinjamoor Akhil Srinivas, Hannah Dela Cruz, Ryan Mercer, Eamonn J. Keogh |
| 2023 | IECON | GA-PDR: Using Gait Analysis for Heading Estimation in PDR Based Indoor Localization System. | Renjie Wu, Matthew Pike, Xiaoqing Chai, Boon-Giin Lee, Wan-Young Chung, Lionel Nkenyereye |
| 2023 | ISMAR | The Effect of Visual and Auditory Modality Mismatching between Distraction and Warning on Pedestrian Street Crossing Behavior. | Renjie Wu, Hsiang-Ting Chen |
| 2023 | PACLIC | Estimating the Likelihood of Words Being Known with Corpus Analysis and K-Means Clustering Algorithm. | Tong Zhu, Derek S. Irwin, Yanhui Zhang, Renjie Wu, Xiaoyi Jiang |
| 2023 | PRICAI | A Joint Framework with Audio Generation for Rare Gunshot Event Detection. | Jun Yin, Haiyun Du, Renjie Wu, Ruidong Fang, Jucai Lin, Yun Huang, Weizhen Huang, Yapeng Mao, Xiao Luo |
| 2023 | Tencon | Comparative Analysis of Wireless Transmission Methods for Firefighting Communication in Challenging Indoor Environments. | Boon-Giin Lee, Renjie Wu, Fanqi Xu, Lexuan Zhu, Xiaoqing Chai, Matthew Pike |
| 2022 | ICDE | When is Early Classification of Time Series Meaningful? (Extended Abstract). | Renjie Wu, Audrey Der, Eamonn J. Keogh |
| 2022 | ICDE | Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress (Extended Abstract). | Renjie Wu, Eamonn J. Keogh |
| 2022 | KDD | Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams. | Yue Lu, Renjie Wu, Abdullah Mueen, Maria A. Zuluaga, Eamonn J. Keogh |
| 2021 | ICDE | FastDTW is approximate and Generally Slower than the Algorithm it Approximates (Extended Abstract). | Renjie Wu, Eamonn J. Keogh |
| 2021 | ICIP | Generic Sparse Graph Based Convolutional Networks for Face Recognition. | Renjie Wu, Sei-ichiro Kamata |
| 2018 | ICARCV | $k^{3}$-Sparse Graph Convolutional Networks for Face Recognition. | Renjie Wu, Sei-ichiro Kamata |
| 2016 | ICIP | A jointly local structured sparse deep learning network for face recognition. | Renjie Wu, Sei-ichiro Kamata |
| 2014 | ICMV | Optimized curvelet-based empirical mode decomposition. | Renjie Wu, Qieshi Zhang, Sei-ichiro Kamata |