Tianyao Chen (陈天垚)

Tianyao Chen is a Shanghai-track Computer Science Ph.D. student at NYU, advised by Gus. He received his BEng in Computer Science and Technology from ACM honored class, Shanghai Jiao Tong University. He has various research background on recommendation system, deep learning and reinforcement learning in undergraduate and controllable music generation and hierarchical music representation learning in his Ph.D. career. He has publications in AI and computer music conferences such as AAAI and ISMIR.

Based on all these background, he started to think about how human beings really do philosophical thinking and perform activities in art and science, and he tried to design algorithms to mimic these behaviors.

Publications

• Ruihan Yang, Dingsu Wang, Ziyu Wang, Tianyao Chen, Junyan Jiang, Gus Xia. Deep Music Analogy Via Latent Representation Disentanglement. Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), 2019.
• Ruihan Yang, Tianyao Chen, Yiyi Zhang, Gus Xia. Inspecting and Interacting with Meaningful Music Representations using VAE. Proceedings of the International Conference on New Interfaces for Musical Expression (NIME), 2019.
• Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang. Efficient Architecture Search by Network Transformation. Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018.