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2020 – today
- 2024
[j2]Qitao Shi
, Ya-Lin Zhang, Lu Yu, Feng Zhu, Longfei Li, Jun Zhou, Yanming Fang:
A distribution-free method for probabilistic prediction. Expert Syst. Appl. 237(Part B): 121396 (2024)- [c10]Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang:
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts. AAAI 2024: 16067-16075 - [i3]Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang:
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts. CoRR abs/2402.00893 (2024) - 2023
- [j1]Ya-Lin Zhang, Jun Zhou, Qitao Shi, Longfei Li:
Exploring the combination of self and mutual teaching for tabular-data-related semi-supervised regression. Expert Syst. Appl. 213(Part): 118931 (2023) - [c9]Jun Zhou, Qitao Shi, Yi Ding, Lin Wang, Longfei Li, Feng Zhu:
AntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data. DASFAA (4) 2023: 477-489 - [c8]Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li:
ALT: An Automatic System for Long Tail Scenario Modeling. ICDE 2023: 3017-3030 - [c7]Jun Zhou, Ke Zhang, Feng Zhu, Qitao Shi, Wenjing Fang, Lin Wang, Yi Wang:
ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling. WSDM 2023: 1148-1151 - [i2]Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li:
ALT: An Automatic System for Long Tail Scenario Modeling. CoRR abs/2305.11390 (2023) - 2022
- [c6]Yue Zhang, Xinxing Yang, Feng Zhu, Yalin Zhang, Meng Li, Qitao Shi, Longfei Li, Jun Zhou:
A Task-Aware Attention-Based Method for Improved Meta-Learning. APWeb/WAIM (2) 2022: 474-482 - [c5]Meng Li, Lu Yu, Ya-Lin Zhang, Xiaoguang Huang, Qitao Shi, Qing Cui, Xinxing Yang, Longfei Li, Wei Zhu, Yanming Fang, Jun Zhou:
An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset. CIKM 2022: 3252-3261 - 2021
- [c4]Meng Li, Ya-Lin Zhang, Qitao Shi, Xinxing Yang, Qing Cui, Longfei Li, Jun Zhou:
Constraint-Adaptive Rule Mining in Large Databases. DASFAA (3) 2021: 579-591 - [c3]Ya-Lin Zhang, Qitao Shi, Meng Li, Xinxing Yang, Longfei Li, Jun Zhou:
A Classification Based Ensemble Pruning Framework with Multi-metric Consideration. IntelliSys (1) 2021: 650-667 - 2020
- [c2]Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou:
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. ICDE 2020: 1645-1656 - [c1]Qing Cui, Qitao Shi, Hao Qian, Caizhi Tang, Xixi Li, Yiming Zhao, Tao Jiang, Longfei Li, Jun Zhou:
AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models. ECML/PKDD (5) 2020: 541-545 - [i1]Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou:
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. CoRR abs/2003.02556 (2020)
Coauthor Index
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