Mingshuo Ding — accepted AI-conference papers

2026

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction

Yinghao Ma, Haiwen Xia, Hewei Gao, Weixiong Chen, Ye Yuxin, Yuchen Yang +6

ICML 2026poster

While music generation models have evolved to handle complex multimodal inputs mixing text, lyrics, and reference audio, evaluation mechanisms have lagged behind, remaining fragmented and narrowly focused. In this paper, we bridge this critical gap by establishing a comprehensive ecosystem for Compo…

Cited by 0 Source ↗Scholar ↗

2023

Tensor-Based Sketching Method for the Low-Rank Approximation of Data Streams.

Cuiyu Liu, Xiao Chuanfu, Mingshuo Ding, Chao Yang

ICLR 2023poster

Low-rank approximation in data streams is a fundamental and significant task in computing science, machine learning and statistics. Multiple streaming algorithms have emerged over years and most of them are inspired by randomized algorithms, more specifically, sketching methods. However, many algori…

Cited by 4 Source ↗PDF ↗Scholar ↗