Ya-Lin Zhang

According to our database, Ya-Lin Zhang authored at least 24 papers between 2017 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

Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding.

Ya-Lin Zhang, Caizhi Tang, Lu Yu, Jun Zhou, Longfei Li, Qing Cui, Fangfang Fan, Linbo Jiang, Xiaosong Zhao

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 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

A Framework for Detecting Frauds from Extremely Few Labels.

Ya-Lin Zhang, Yi-Xuan Sun, Fangfang Fan, Meng Li, Yeyu Zhao, Wei Wang, Longfei Li, Jun Zhou, Jinghua Feng

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

Degradation-Resistant Offline Optimization via Accumulative Risk Control.

Huakang Lu, Hong Qian, Yupeng Wu, Ziqi Liu, Ya-Lin Zhang, Aimin Zhou, Yang Yu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Treatment Effect Estimation across Domains.

Yi-Xuan Sun, Ya-Lin Zhang, Wei Wang, Longfei Li, Jun Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

FINRule: Feature Interactive Neural Rule Learning.

Lu Yu, Meng Li, Ya-Lin Zhang, Longfei Li, Jun Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding.

Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Ya-Lin Zhang, Feng Zhu, Longfei Li, Jun Zhou, Linbo Jiang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

A Graph Attention Network Model for GMV Forecast on Online Shopping Festival.

Qianyu Yu, Shuo Yang, Zhiqiang Zhang, Ya-Lin Zhang, Binbin Hu, Ziqi Liu, Kai Huang, Xingyu Zhong, Jun Zhou, Yanming Fang

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020

Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching.

Cen Chen, Ya-Lin Zhang, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, Jun Zhou

Proceedings of the Companion of The 2020 Web Conference 2020, 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

aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots.

Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li, Yu Qiao

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud.

Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Yuan (Alan) Qi, Zhi-Hua Zhou

ACM Trans. Intell. Syst. Technol., 2019

A Time Attention based Fraud Transaction Detection Framework.

Longfei Li, Ziqi Liu, Chaochao Chen, Ya-Lin Zhang, Jun Zhou, Xiaolong Li

CoRR, 2019

Interpretable MTL from Heterogeneous Domains using Boosted Tree.

Ya-Lin Zhang, Longfei Li

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud.

Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou

CoRR, 2018

Anomaly Detection with Partially Observed Anomalies.

Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Zhi-Hua Zhou

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017

Multi-Instance Learning with Key Instance Shift.

Ya-Lin Zhang, Zhi-Hua Zhou

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

POSTER: A PU Learning based System for Potential Malicious URL Detection.

Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Yujiang Liu, Yuanchao Zhang, Zhi-Hua Zhou

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017