An archive-exploration system for the Hunting Songs of the Lakeland Fell Packs. - Mary Emmett; Zongyu Yin; Tom Collins (DLfM, 2021)

"A Good Algorithm Does Not Steal - It Imitates": The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much. - Zongyu Yin; Federico Reuben; Susan Stepney; Tom Collins (EvoMUSART, 2021)

Measuring When a Music Generation Algorithm Copies Too Much: The Originality Report, Cardinality Score, and Symbolic Fingerprinting by Geometric Hashing. - Zongyu Yin; Federico Reuben; Susan Stepney; Tom Collins (SN Comput. Sci., 2022)

Efficient Neural Music Generation. - Max W. Y. Lam; Qiao Tian 001; Tang Li 001; Zongyu Yin; Siyuan Feng; Ming Tu; Yuliang Ji; Rui Xia; Mingbo Ma; Xuchen Song; Jitong Chen; Yuping Wang 005; et al. (NeurIPS, 2023)

Deep learning's shallow gains: a comparative evaluation of algorithms for automatic music generation. - Zongyu Yin; Federico Reuben; Susan Stepney; Tom Collins (Mach. Learn., 2023)

Comparative Evaluation in the Wild: Systems for the Expressive Rendering of Music. - Kyle Worrall; Zongyu Yin; Tom Collins (IEEE Trans. Artif. Intell., 2024)

Analyzable Chain-of-Musical-Thought Prompting for High-Fidelity Music Generation. - Max W. Y. Lam; Yijin Xing; Weiya You; Jingcheng Wu; Zongyu Yin; Fuqiang Jiang; Hangyu Liu; Feng Liu; Xingda Li; Wei-Tsung Lu; Hanyu Chen; Tong Feng; et al. (CoRR, 2025)