First attempt to build realistic driving scenes using video-to-video synthesis in OpenDS framework. - Zili Song; Shuolei Wang; Weikai Kong; Xiangjun Peng; Xu Sun 002 (AutomotiveUI (adjunct), 2019)

CHESTNUT: Improve Serendipity in Movie Recommendation by an Information Theory-Based Collaborative Filtering Approach. - Xiangjun Peng; Hongzhi Zhang; Xiaosong Zhou; Shuolei Wang; Xu Sun 002; Qingfeng Wang 002 (HCI (5), 2020)

Omniverse-OpenDS: Enabling Agile Developments for Complex Driving Scenarios via Reconfigurable Abstractions. - Zilin Song; Yicun Duan; Wangkai Jin; Shuchang Huang; Shuolei Wang; Xiangjun Peng (HCI (34), 2022)

Oneiros-OpenDS: An Interactive and Extensible Toolkit for Agile and Automated Developments of Complicated Driving Scenes. - Shuolei Wang; Junyu Liu; Haoxuan Sun; Xiaoxing Ming; Wangkai Jin; Zilin Song; Xiangjun Peng (HCI (34), 2022)

Mean-standard-deviation-based electric vehicle routing problem with time windows using Lagrangian relaxation and extended alternating direction method of multipliers-based decomposition algorithm. - Jieman Xia; Zhou He; Shuolei Wang; Siliang Liu; Shuai Zhang (Soft Comput., 2024)

QAMA: Quantum annealing multi-head attention operator with classical deep learning framework. - Peng Du; Shuolei Wang; Shicheng Li; Jinjing Shi (CoRR, 2025)