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Article

Sun, Xu, Li, Jingpeng, Tang, Pinyan, Zhou, Siyuan, Peng, Xiangjun, Li, Hao Nan and Wang, Qingfeng (2020) Exploring personalised autonomous vehicles to influence user trust. Cognitive Computation . ISSN 1866-9956

Conference or Workshop Item

Peng, Xiangjun, Huang, Zhentao and Sun, Xu (2020) Building BROOK: A multi-modal and facial video database for Human-Vehicle Interaction research. In: ACM CHI Conference on Human Factors in Computing Systems, 25-30 April 2020, Honolulu, HI, USA. (Unpublished)

Peng, Xiangjun, Huang, Zhentao, Yang, Cheng, Song, Zilin and Sun, Xu (2020) Early findings from a large-scale user study of CHESTNUT: Validations and implications. In: 22th Springer International Conference on Human-Computer Interaction, 19-24 July 2020, Copenhagen, Denmark. (Unpublished)

Peng, Xiangjun, Wang, Qingfeng, Sun, Xu, Gong, Chunye and Wang, Yaohua (2019) Succinct Representations in Collaborative Filtering: A Case Study using Wavelet Tree on 1,000 Cores. In: 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), 5-7 Dec. 2019, Gold Coast, Australia, Australia.

Book Section

Huang, Zhentao, Li, Rongze, Jin, Wangkai, Song, Zilin, Zhang, Yu, Peng, Xiangjun and Sun, Xu (2020) Face2Multi-modal: in-vehicle multi-modal predictors via facial expressions. In: 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM . UNSPECIFIED, pp. 30-33. ISBN 9781450380669

Song, Zili, Wang, Shuolei, Kong, Weikai, Peng, Xiangjun and Sun, Xu (2019) First attempt to build realistic driving scenes using video-to-video synthesis in OpenDS framework. In: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings. Association for Computing Machinery, Utrecht, Netherlands, pp. 387-391. ISBN 9781450369206

Monograph

Peng, Xiangjun, Zhang, Hongzhi, Zhou, Xiaosong, Wang, Shuolei, Sun, Xu and Wang, Qingfeng (2019) CHESTNUT: Improve serendipity in movie recommendation by an Information Theory-based collaborative filtering approach. Working Paper. Unpublished. (Unpublished)