Eric Dong

According to our database, Eric Dong authored at least 5 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SilverTorch: A Unified Model-based System to Democratize Large-Scale Recommendation on GPUs.

Bi Xue, Hong Wu, Lei Chen, Chao Yang, Yiming Ma, Fei Ding, Zhen Wang, Liang Wang, Xiaoheng Mao, Ke Huang, Xialu Li, Peng Xia, Rui Jian, Yanli Zhao, Yanzun Huang, Yijie Deng, Harry Tran, Ryan Chang, Min Yu, Eric Dong, Jiazhou Wang, Qianqian Zhang, Keke Zhai, Hongzhang Yin, Pawel Garbacki, Zheng Fang, Yiyi Pan, Min Ni, Yang Liu

CoRR, November, 2025

DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation.

Enze Zhang, Jiaying Wang, Mengxi Xiao, Jifei Liu, Ziyan Kuang, Rui Dong, Eric Dong, Sophia Ananiadou, Min Peng, Qianqian Xie

CoRR, October, 2025

2024

Distributional Refinement Network: Distributional Forecasting via Deep Learning.

Benjamin Avanzi, Eric Dong, Patrick J. Laub, Bernard Wong

CoRR, 2024

2018

Practical machine learning with python on DSX.

Shaikh Quader, Mark Ryan, Eric Dong, Safura Suleymanova, Rounok Salehin, Shahidul Haque Apu

Proceedings of the 28th Annual International Conference on Computer Science and Software Engineering, 2018

2017

Machine learning basics with IBM data science experience.

Xueqi Fan, Mihai Iacob, Mihai Nicolae, Eric Dong

Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, 2017