Fengchao Peng

According to our database, Fengchao Peng authored at least 9 papers between 2016 and 2021.

Collaborative distances:

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

2021

Using Machine Learning Methods to Identify Particle Types from Doppler Lidar Measurements in Iceland.

Shu Yang, Fengchao Peng, Sibylle von Löwis, Guðrún Nína Petersen, David Christian Finger

Remote. Sens., 2021

Active Learning for Lane Detection: A Knowledge Distillation Approach.

Fengchao Peng, Chao Wang, Jianzhuang Liu, Zhen Yang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2018

Deep Graph Embedding for Ranking Optimization in E-commerce.

Chen Chu, Zhao Li, Beibei Xin, Fengchao Peng, Chuanren Liu, Remo Rohs, Qiong Luo, Jingren Zhou

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

A Time Series Classification Method for Battery Event Detection.

Fengchao Peng, Xibo Zhou, Hao Liu, Haoyu Tan, Qiong Luo, Jiye Hu

Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

Scalable Hash Ripple Join on Spark.

Hao Liu, Jiang Xiao, Fengchao Peng

Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

ACTS: An Active Learning Method for Time Series Classification.

Fengchao Peng, Qiong Luo, Lionel M. Ni

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Detecting unmetered taxi rides from trajectory data.

Xibo Zhou, Ye Ding, Fengchao Peng, Qiong Luo, Lionel M. Ni

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Event-based non-parametric clustering of team sport trajectories.

Fengchao Peng, Yudian Ji, Qiong Luo, Lionel M. Ni

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

TrendTracker: Modelling the Motion of Trends in Space and Time.

Klaus Arthur Schmid, Christian M. M. Frey, Fengchao Peng, Michael Weiler, Andreas Züfle, Lei Chen, Matthias Renz

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016