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Taming Diffusion Models for Music-driven Conducting Motion Generation
This paper presents Diffusion-Conductor , a novel DDIM-based approach for music-driven conducting motion generation, which integrates the diffusion model to a two-stage learning framework. [arxiv]
Zhuoran Zhao, Jinbin Bai, Delong Chen, Debang Wang, Yubo Pan
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Taming Diffusion Models for Music-driven Conducting Motion Generation
Few-shot Classification via Ensemble Learning with Multi-Order Statistics
We prove theoretically that leveraging ensemble learning on the base classes can correspondingly reduce the true error in the novel classes. Following this principle, a novel method named Ensemble Learning with Multi-Order Statistics (ELMOS) is proposed in this paper.
Sai Yang, Fan Liu, Delong Chen, Jun Zhou
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Few-shot Classification via Ensemble Learning with Multi-Order Statistics
MEP-3M: A Large-scale Multi-modal E-Commerce Products Dataset
In this paper, we construct a large-scale Multi-modal E-commerce Products classification dataset MEP-3M, which consists of over 3 million products and 599 fine-grained product categories. This paper won Best Dataset Paper award.
Delong Chen, Fan Liu, Xiaoyu Du, Ruizhuo Gao, Feng Xu
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MEP-3M: A Large-scale Multi-modal E-Commerce Products Dataset
VirtualConductor: Music-driven Conducting Video Generation System

In this demo, we present the VirtualConductor, a system that can generate conducting video from a given piece of music and a single user’s image. This demo won the IEEE ICME 2021 Best Demo award.

Delong Chen, Fan Liu, Zewen Li, Feng Xu. In ICME 2021 (Demo Track).

Delong Chen, Fan Liu, Zewen Li, Feng Xu
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VirtualConductor: Music-driven Conducting Video Generation System
Significant Wave Height Prediction based on Wavelet Graph Neural Network
In this paper, we focus on enabling the deep learning model to learn both short-term and long-term spatial-temporal dependencies for Significant Wave Height (SWH) prediction. A Wavelet Graph Neural Network (WGNN) approach is proposed. This paper won the BDAI 2021 Best Presentation award [DOI].
Delong Chen, Fan Liu, Zheqi Zhang, Xiaomin Lu, Zewen Li
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Significant Wave Height Prediction based on Wavelet Graph Neural Network
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images
In this paper, we present a review of these recently emerging automatic diagnosing models. 70 models proposed from February 14, 2020, to July 21, 2020, are involved [DOI].
Delong Chen, Shunhui Ji, Fan Liu, Zewen Li, Xinyu Zhou
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A Review of Automated Diagnosis of COVID-19 Based on Scanning Images