| 2024 | ICASSP | Trusted Deep Domain Adaptation with Uncertainty Measure Based on Evidence Theory. | Ying Lv, Jianpeng Ma, Qilin Li, Gang Xu |
| 2024 | Interspeech | DysArinVox: DYSphonia & DYSarthria mandARIN speech corpus. | Haojie Zhang, Tao Zhang, Ganjun Liu, Dehui Fu, Xiaohui Hou, Ying Lv |
| 2023 | AAAI | Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion. | Zhikang Xu, Xiaodong Yue, Ying Lv, Wei Liu, Zihao Li |
| 2023 | CIKM | Integrating Priors into Domain Adaptation Based on Evidence Theory. | Ying Lv, Jianpeng Ma, Yiqiu Zhang, Gang Xu |
| 2020 | CIKM | Integrating Diagnosis Rules into Deep Neural Networks for Bladder Cancer Staging. | Cheng Zhang, Xiaodong Yue, Yufei Chen, Ying Lv |
| 2020 | KSEM | Evidential Deep Neural Networks for Uncertain Data Classification. | Bin Yuan, Xiaodong Yue, Ying Lv, Thierry Denoeux |
| 2020 | PPSN | Network Representation Learning Based on Topological Structure and Vertex Attributes. | Shengxiang Hu, Bofeng Zhang, Ying Lv, Furong Chang, Zhuocheng Zhou |
| 2019 | ICONIP | Interactive Semantic Features Selection from Reviews for Recommendation. | Tian Shi, Bofeng Zhang, Ying Lv, Zhuocheng Zhou, Furong Chang |
| 2019 | ICONIP | Data Augment in Imbalanced Learning Based on Generative Adversarial Networks. | Zhuocheng Zhou, Bofeng Zhang, Ying Lv, Tian Shi, Furong Chang |