Chang Li

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities

Tongliang Liu, Jia Wu, Dacheng Tao, 2022, ArXiv.

3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models

Gang Li, Heliang Zheng, Dacheng Tao, 2022, ArXiv.

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System

W. Liu, Heliang Zheng, Jing Zhang, 2023, ArXiv.

A New Method for Stock Price Prediction Based on MRFs and SSVM

Chang Li, Lin Lai, Wen Long, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction: Multi-task RNN and Higer-order MRFs for Stock Price Classification

Dacheng Tao, Chang Li, Dongjin Song, 2019, KDD.

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System

W. Liu, Heliang Zheng, Jing Zhang, 2023, ArXiv.

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities

Tongliang Liu, Jia Wu, Dacheng Tao, 2022, IJCAI.

H I T-MDP: L EARNING THE SMDP OPTION FRAME - WORK ON MDP S WITH H IDDEN T EMPORAL E MBED - DINGS

Chang Li, Dongjin Song, Dacheng Tao, 2023 .

3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models

Gang Li, Heliang Zheng, Dacheng Tao, 2022, ArXiv.