Ya-Lin Zhang - RankMe

30 papers A* 7A 8Journal 8Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AntAkso: Claims Management System for Health Insurance in Alipay. KDD (1) Qitao Shi, Jun Zhou, Ya-Lin Zhang, Longfei Li, Chaoyi Ma, Yifan Wu, Xiaobo Qin
2024	J	`jnl`	A distribution-free method for probabilistic prediction. Expert Syst. Appl. Qitao Shi, Ya-Lin Zhang, Lu Yu, Feng Zhu, Longfei Li, Jun Zhou, Yanming Fang
2024	A*	`conf`	Collaborative Refining for Learning from Inaccurate Labels. NeurIPS Bin Han, Yi-Xuan Sun, Ya-Lin Zhang, Libang Zhang, Haoran Hu, Longfei Li, Jun Zhou, Guo Ye, Huimei He
2024	A	`conf`	Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding. WSDM Ya-Lin Zhang, Caizhi Tang, Lu Yu, Jun Zhou, Longfei Li, Qing Cui, Fangfang Fan, Linbo Jiang, Xiaosong Zhao
2024	—	`conf`	Modeling Treatment Effect with Cross-Domain Data. PAKDD (1) Bin Han, Ya-Lin Zhang, Lu Yu, Biying Chen, Longfei Li, Jun Zhou
2024	A*	`conf`	Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources. ICML Yi-Xuan Sun, Ya-Lin Zhang, Bin Han, Longfei Li, Jun Zhou
2023	A	`conf`	A Framework for Detecting Frauds from Extremely Few Labels. WSDM Ya-Lin Zhang, Yi-Xuan Sun, Fangfang Fan, Meng Li, Yeyu Zhao, Wei Wang, Longfei Li, Jun Zhou, Jinghua Feng
2023	A*	`conf`	ALT: An Automatic System for Long Tail Scenario Modeling. ICDE Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li
2023	J	`jnl`	ALT: An Automatic System for Long Tail Scenario Modeling. CoRR Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li
2023	A	`conf`	Degradation-Resistant Offline Optimization via Accumulative Risk Control. ECAI Huakang Lu, Hong Qian, Yupeng Wu, Ziqi Liu, Ya-Lin Zhang, Aimin Zhou, Yang Yu
2023	J	`jnl`	Exploring the combination of self and mutual teaching for tabular-data-related semi-supervised regression. Expert Syst. Appl. Ya-Lin Zhang, Jun Zhou, Qitao Shi, Longfei Li
2023	A	`conf`	FINRule: Feature Interactive Neural Rule Learning. CIKM Lu Yu, Meng Li, Ya-Lin Zhang, Longfei Li, Jun Zhou
2023	A	`conf`	Treatment Effect Estimation across Domains. CIKM Yi-Xuan Sun, Ya-Lin Zhang, Wei Wang, Longfei Li, Jun Zhou
2022	A	`conf`	An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset. CIKM Meng Li, Lu Yu, Ya-Lin Zhang, Xiaoguang Huang, Qitao Shi, Qing Cui, Xinxing Yang, Longfei Li, Wei Zhu, Yanming Fang, Jun Zhou
2022	A*	`conf`	Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding. NeurIPS Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Ya-Lin Zhang, Feng Zhu, Longfei Li, Jun Zhou, Linbo Jiang
2021	—	`conf`	A Classification Based Ensemble Pruning Framework with Multi-metric Consideration. IntelliSys (1) Ya-Lin Zhang, Qitao Shi, Meng Li, Xinxing Yang, Longfei Li, Jun Zhou
2021	—	`conf`	A Graph Attention Network Model for GMV Forecast on Online Shopping Festival. APWeb/WAIM (1) Qianyu Yu, Shuo Yang, Zhiqiang Zhang, Ya-Lin Zhang, Binbin Hu, Ziqi Liu, Kai Huang, Xingyu Zhong, Jun Zhou, Yanming Fang
2021	—	`conf`	Constraint-Adaptive Rule Mining in Large Databases. DASFAA (3) Meng Li, Ya-Lin Zhang, Qitao Shi, Xinxing Yang, Qing Cui, Longfei Li, Jun Zhou
2020	—	`conf`	Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. WWW (Companion Volume) Cen Chen, Ya-Lin Zhang, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, Jun Zhou
2020	J	`jnl`	Interpretable MTL from Heterogeneous Domains using Boosted Tree. CoRR Ya-Lin Zhang, Longfei Li
2020	A*	`conf`	SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. ICDE Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou
2020	J	`jnl`	SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. CoRR Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou
2020	A	`conf`	aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots. CIKM Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li, Yu Qiao
2019	J	`jnl`	A Time Attention based Fraud Transaction Detection Framework. CoRR Longfei Li, Ziqi Liu, Chaochao Chen, Ya-Lin Zhang, Jun Zhou, Xiaolong Li
2019	J	`jnl`	Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. ACM Trans. Intell. Syst. Technol. 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
2019	A	`conf`	Interpretable MTL from Heterogeneous Domains using Boosted Tree. CIKM Ya-Lin Zhang, Longfei Li
2018	—	`conf`	Anomaly Detection with Partially Observed Anomalies. WWW (Companion Volume) Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Zhi-Hua Zhou
2018	J	`jnl`	Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. CoRR Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou
2017	A*	`conf`	Multi-Instance Learning with Key Instance Shift. IJCAI Ya-Lin Zhang, Zhi-Hua Zhou
2017	A*	`conf`	POSTER: A PU Learning based System for Potential Malicious URL Detection. CCS Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Yujiang Liu, Yuanchao Zhang, Zhi-Hua Zhou