| 2026 | ACL | AutoSUIT Bench - Automated Security UnIt Test Benchmark for LLM Coding. | Samuel Osebe, Fan Yang, Junyi Li, Yue Gu, Yongxin Wang, Satyapriya Krishna, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Weitong Ruan |
| 2026 | CHI | ColoGene: Empowering Designers with Genetic Narratives of Traditional Chinese Colors. | Yue Gu, Yuxuan Li, Ruiyuan Bai, Zhiwei Yao, Shengdong Zhao |
| 2025 | HCI | Mapping the Future of Mobility Through Crowd Innovation Workshops: Integrating Strategic Foresight with Design Innovation. | Tiantian Li, Kaiqi Yin, Yue Gu, Yiyu Li |
| 2025 | SP | EPScan: Automated Detection of Excessive RBAC Permissions in Kubernetes Applications. | Yue Gu, Xin Tan, Yuan Zhang, Siyan Gao, Min Yang |
| 2024 | HRI | The Effect of Predictive Formal Modelling at Runtime on Performance in Human-Swarm Interaction. | Ayodeji Opeyemi Abioye, William Hunt, Yue Gu, Eike Schneiders, Mohammad Naiseh, Joel E. Fischer, Sarvapali D. Ramchurn, Mohammad Divband Soorati, Blair Archibald, Michele Sevegnani |
| 2024 | ICASSP | On-Device Constrained Self-Supervised Learning for Keyword Spotting via Quantization Aware Pre-Training and Fine-Tuning. | Gene-Ping Yang, Yue Gu, Sashank Macha, Qingming Tang, Yuzong Liu |
| 2024 | Interspeech | Personality-memory Gated Adaptation: An Efficient Speaker Adaptation for Personalized End-to-end Automatic Speech Recognition. | Yue Gu, Zhihao Du, Shiliang Zhang, Jiqing Han, Yongjun He |
| 2023 | ICASSP | Self-Supervised Speech Representation Learning for Keyword-Spotting With Light-Weight Transformers. | Chenyang Gao, Yue Gu, Francesco Caliv, Yuzong Liu |
| 2023 | Interspeech | Improving Label Assignments Learning by Dynamic Sample Dropout Combined with Layer-wise Optimization in Speech Separation. | Chenyang Gao, Yue Gu, Ivan Marsic |
| 2023 | Interspeech | Personality-aware Training based Speaker Adaptation for End-to-end Speech Recognition. | Yue Gu, Zhihao Du, Shiliang Zhang, Qian Chen, Jiqing Han |
| 2023 | Interspeech | On-Device Constrained Self-Supervised Speech Representation Learning for Keyword Spotting via Knowledge Distillation. | Gene-Ping Yang, Yue Gu, Qingming Tang, Dongsu Du, Yuzong Liu |
| 2023 | RO-MAN | Successful Swarms: Operator Situational Awareness with Modelling and Verification at Runtime. | Yue Gu, William Hunt, Blair Archibald, Mengwei Xu, Michele Sevegnani, Mohammad Divband Soorati |
| 2022 | HCI | Computer Reshaping the View of Objects-The Operational Aesthetics of Generative Art. | Yue Gu |
| 2021 | GLOBECOM | Fast and Robust Online Traffic Classification Supporting Unseen Applications. | Yue Gu, Dan Li, Kaihui Gao, Yang Cheng |
| 2021 | ICIP | Building Footprint Generation by Integrating U-Net with Deepened Space Module. | Jun Chen, Yuxuan Jiang, Linbo Luo, Yue Gu, Kangle Wu |
| 2020 | GECCO | Turing learning with hybrid discriminators: combining the best of active and passive learning. | Yue Gu, Wei Li, Roderich Gro |
| 2020 | ICASSP | Residual Recurrent Neural Network for Speech Enhancement. | Jalal Abdulbaqi, Yue Gu, Shuhong Chen, Ivan Marsic |
| 2020 | ICONIP | An Efficient Joint Training Framework for Robust Small-Footprint Keyword Spotting. | Yue Gu, Zhihao Du, Hui Zhang, Xueliang Zhang |
| 2020 | INFOCOM | Predicting Traffic Demand Matrix by Considering Inter-flow Correlations. | Kaihui Gao, Dan Li, Li Chen, Jinkun Geng, Fei Gui, Yang Cheng, Yue Gu |
| 2020 | IGARSS | Multiscale Infrared and Visible Image Fusion Based on Phase Congruency and Saliency. | Jun Chen, Kangle Wu, Linbo Luo, Xiaoqiang Chen, Yue Gu, Xin Tian |
| 2020 | IWQoS | Incorporating Intra-flow Dependencies and Inter-flow Correlations for Traffic Matrix Prediction. | Kaihui Gao, Dan Li, Li Chen, Jinkun Geng, Fei Gui, Yang Cheng, Yue Gu |
| 2019 | CVPR | Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation. | Feigege Wang, Yue Gu, Wenxi Liu, Yuanlong Yu, Shengfeng He, Jia Pan |
| 2019 | INFOCOM | Impact of Network Topology on the Performance of DML: Theoretical Analysis and Practical Factors. | Shuai Wang, Dan Li, Jinkun Geng, Yue Gu, Yang Cheng |
| 2018 | ACL | Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment. | Yue Gu, Kangning Yang, Shiyu Fu, Shuhong Chen, Xinyu Li, Ivan Marsic |
| 2018 | COLING | Hybrid Attention based Multimodal Network for Spoken Language Classification. | Yue Gu, Kangning Yang, Shiyu Fu, Shuhong Chen, Xinyu Li, Ivan Marsic |
| 2018 | ICASSP | Deep Mul Timodal Learning for Emotion Recognition in Spoken Language. | Yue Gu, Shuhong Chen, Ivan Marsic |
| 2018 | IGARSS | Estimating PM 2.5 in British Columbia Before and After Wildfires using 3 KM Modis AOD Products from February to August 2017. | Mengge Chen, Yue Gu, Ming Liu, Jonathan Li |
| 2017 | AI | Speech Intention Classification with Multimodal Deep Learning. | Yue Gu, Xinyu Li, Shuhong Chen, Jianyu Zhang, Ivan Marsic |
| 2016 | ICNC | An optimized FPGA implementation based on scale invariant feature transform feature points detection. | Yue Gu, Xiujie Qu, Yue Sun, Liwen Gao, Shuang Yu |
| 2016 | ICNC | A high-precision registration algorithm for heterologous image based on effective sub-graph extraction and feature points bidirectional matching. | Xiujie Qu, Yue Sun, Yue Gu, Shuang Yu, Liwen Gao |
| 2016 | ICRA | Modular Hydraulic Propulsion: A robot that moves by routing fluid through itself. | Matthew J. Doyle, Xinyu Xu, Yue Gu, Fernando Perez-Diaz, Christopher Parrott, Roderich Gro |