Xu Min

According to our database, Xu Min authored at least 22 papers between 2004 and 2023.

Collaborative distances:

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

2023

AntM²C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction.

Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang

CoRR, 2023

Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System.

Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Xu Min

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency.

Jun Hu, Xu Min, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation.

Zhaoxin Huan, Ang Li, Xiaolu Zhang, Xu Min, Jieyu Yang, Yong He, Jun Zhou

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction.

Bin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong, Linjian Mo

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

SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation.

Xu Min, Xiaolu Zhang, Bin Shen, Shuhan Wang, Yong He, Changsheng Li, Jun Zhou

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

2022

TAMOR: Tier-Aware Multi-objective Recommendation for Ant Fortune Financial Marketing.

Xu Min, Xiaolu Zhang, Jun Zhou, Changxun Fan, Junlin Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities.

Yuan Zhang, David Koepke, Bibo Hao, Jing Mei, Xu Min, Rachna Gupta, Rajashree Joshi, Fiona McNaughton, Zhan-Heng Chen, Bo-Wei Zhao, Lun Hu, Pengwei Hu

Proceedings of the Intelligent Computing Theories and Application, 2022

2021

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge.

Prithwish Chakraborty, James V. Codella, Piyush Madan, Ying Li, Hu Huang, Yoonyoung Park, Chao Yan, Ziqi Zhang, Cheng Gao, Steve Nyemba, Xu Min, Sanjib Basak, Mohamed F. Ghalwash, Zach Shahn, Parthasararathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Y. Yuen-Reed, Kenney Ng, Daby Sow, Bradley A. Malin

CoRR, 2021

2020

Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning.

Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li

CoRR, 2020

Embracing Disease Progression with a Learning System for Real World Evidence Discovery.

Zefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng, Shaochun Li, Pengwei Hu, Zhuhong You

Proceedings of the Intelligent Computing Theories and Application, 2020

2019

EnDisease: a manually curated database for enhancer-disease associations.

Wanwen Zeng, Xu Min, Rui Jiang

Database J. Biol. Databases Curation, 2019

2018

The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations.

Xi Zhang, Dandi Chen, Yongjun Zhu, Chao Che, Chang Su, Sendong Zhao, Xu Min, Fei Wang

CoRR, 2018

2017

Predicting enhancers with deep convolutional neural networks.

Xu Min, Wanwen Zeng, Shengquan Chen, Ning Chen, Ting Chen, Rui Jiang

BMC Bioinform., 2017

Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding.

Xu Min, Wanwen Zeng, Ning Chen, Ting Chen, Rui Jiang

Bioinform., 2017

Patient outcome prediction via convolutional neural networks based on multi-granularity medical concept embedding.

Yujuan Feng, Xu Min, Ning Chen, Hu Chen, Xiaolei Xie, Haibo Wang, Ting Chen

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

DeepEnhancer: Predicting enhancers by convolutional neural networks.

Xu Min, Ning Chen, Ting Chen, Rui Jiang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Research of path loss exponent and distance estimation based on Doppler effect and frequency diversity.

Xu Min, Ziyan Jia, Wenqian Huang, Jing Hu, Lianfeng Shen

Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015

Analysis of SFR's impaction on delay time based DMMAC for VANETs.

Wenqian Huang, Yiwei Mao, Xu Min, Jing Hu, Lianfeng Shen

Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015

2014

Real-time object tracking via optimal feature subspace.

Xu Min, Yu Zhou, Shu Liu, Xiang Bai

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2008

Implementation of Simulation Platform for Craniofacial Surgery Based on COM.

Xu Min, Wang Yu, Yi-qun Cui, Wen-yu Li, Fang Gu

Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008

2004

A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression.

Wu Wei, Liu Xin, Xu Min, Peng Jinrong, Rudy Setiono

Proceedings of the 17th International Conference on Pattern Recognition, 2004