Picture for Ge Jin

Ge Jin

pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting

May 16, 2023
Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li

* The 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023)

Access Paper or Ask Questions

MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data

Oct 27, 2021
Zhibo Zhu, Ziqi Liu, Ge Jin, Zhiqiang Zhang, Lei Chen, Jun Zhou, Jianyong Zhou

Figure 1 for MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data

Figure 2 for MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data

Figure 3 for MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data

Figure 4 for MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data

* 15 pages, 2 figures, NeurIPS 2021

Access Paper or Ask Questions

FANDA: A Novel Approach to Perform Follow-up Query Analysis

Jan 24, 2019
Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang

Figure 1 for FANDA: A Novel Approach to Perform Follow-up Query Analysis

Figure 2 for FANDA: A Novel Approach to Perform Follow-up Query Analysis

Figure 3 for FANDA: A Novel Approach to Perform Follow-up Query Analysis

Figure 4 for FANDA: A Novel Approach to Perform Follow-up Query Analysis

* Accepted by AAAI 2019

Access Paper or Ask Questions

Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe

May 04, 2018
Jiong Gong, Haihao Shen, Guoming Zhang, Xiaoli Liu, Shane Li, Ge Jin, Niharika Maheshwari, Evarist Fomenko, Eden Segal

Figure 1 for Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe

Figure 2 for Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe

Figure 3 for Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe

Figure 4 for Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe

* 1st Reproducible Tournament on Pareto-efficient Image Classification, co-held with ASPLOS 2018

Access Paper or Ask Questions