Qitao Shi

According to our database, Qitao Shi authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

A distribution-free method for probabilistic prediction.

Qitao Shi, Ya-Lin Zhang, Lu Yu, Feng Zhu, Longfei Li, Jun Zhou, Yanming Fang

Expert Syst. Appl., March, 2024

MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts.

Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Exploring the combination of self and mutual teaching for tabular-data-related semi-supervised regression.

Ya-Lin Zhang, Jun Zhou, Qitao Shi, Longfei Li

Expert Syst. Appl., 2023

ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling.

Jun Zhou, Ke Zhang, Feng Zhu, Qitao Shi, Wenjing Fang, Lin Wang, Yi Wang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

ALT: An Automatic System for Long Tail Scenario Modeling.

Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

AntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data.

Jun Zhou, Qitao Shi, Yi Ding, Lin Wang, Longfei Li, Feng Zhu

Proceedings of the Database Systems for Advanced Applications, 2023

2022

An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset.

Meng Li, Lu Yu, Ya-Lin Zhang, Xiaoguang Huang, Qitao Shi, Qing Cui, Xinxing Yang, Longfei Li, Wei Zhu, Yanming Fang, Jun Zhou

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Task-Aware Attention-Based Method for Improved Meta-Learning.

Yue Zhang, Xinxing Yang, Feng Zhu, Yalin Zhang, Meng Li, Qitao Shi, Longfei Li, Jun Zhou

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

A Classification Based Ensemble Pruning Framework with Multi-metric Consideration.

Ya-Lin Zhang, Qitao Shi, Meng Li, Xinxing Yang, Longfei Li, Jun Zhou

Proceedings of the Intelligent Systems and Applications, 2021

Constraint-Adaptive Rule Mining in Large Databases.

Meng Li, Ya-Lin Zhang, Qitao Shi, Xinxing Yang, Qing Cui, Longfei Li, Jun Zhou

Proceedings of the Database Systems for Advanced Applications, 2021

2020

AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models.

Qing Cui, Qitao Shi, Hao Qian, Caizhi Tang, Xixi Li, Yiming Zhao, Tao Jiang, Longfei Li, Jun Zhou

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks.

Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020