Xu Min

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 20

Top Topics

Convolutional Neural Networks

Hospital Discharge

Diffusion Models

Top Venues

Publications

Shuhan Wang, Bin Shen, Xu Min, Yong He, Xiaolu Zhang, Liang Zhang, Jun Zhou, Linjian Mo
Aligned Side Information Fusion Method for Sequential Recommendation. WWW (Companion Volume) (2024)
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, Chenliang Li, Fajie Yuan
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR (2024)
Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations. CoRR (2024)
Jun Hu, Xu Min, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou
BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency. ECML/PKDD (6) (2023)
Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Xu Min
Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System. SIGIR (2023)
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
C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction. CoRR (2023)
Xu Min, Xiaolu Zhang, Bin Shen, Shuhan Wang, Yong He, Changsheng Li, Jun Zhou
SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation. CIKM (2023)
Bin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong, Linjian Mo
DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction. CIKM (2023)
Zhaoxin Huan, Ang Li, Xiaolu Zhang, Xu Min, Jieyu Yang, Yong He, Jun Zhou
SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation. KDD (2023)
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
Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities. ICIC (1) (2022)
Xu Min, Xiaolu Zhang, Jun Zhou, Changxun Fan, Junlin Yu
TAMOR: Tier-Aware Multi-objective Recommendation for Ant Fortune Financial Marketing. ECML/PKDD (6) (2022)
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 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
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. CoRR (2021)
Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning. CoRR (2020)
Zefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng, Shaochun Li, Pengwei Hu, Zhuhong You
Embracing Disease Progression with a Learning System for Real World Evidence Discovery. ICIC (2) (2020)
Wanwen Zeng, Xu Min, Rui Jiang
EnDisease: a manually curated database for enhancer-disease associations. Database J. Biol. Databases Curation 2019 (2019)
Xi Zhang, Dandi Chen, Yongjun Zhu, Chao Che, Chang Su, Sendong Zhao, Xu Min, Fei Wang
The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations. CoRR (2018)
Xu Min, Wanwen Zeng, Shengquan Chen, Ning Chen, Ting Chen, Rui Jiang
Predicting enhancers with deep convolutional neural networks. BMC Bioinform. 18 (S-13) (2017)
Xu Min, Wanwen Zeng, Ning Chen, Ting Chen, Rui Jiang
Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding. Bioinform. 33 (14) (2017)
Yujuan Feng, Xu Min, Ning Chen, Hu Chen, Xiaolei Xie, Haibo Wang, Ting Chen
Patient outcome prediction via convolutional neural networks based on multi-granularity medical concept embedding. BIBM (2017)
Xu Min, Ning Chen, Ting Chen, Rui Jiang
DeepEnhancer: Predicting enhancers by convolutional neural networks. BIBM (2016)
Xu Min, Ziyan Jia, Wenqian Huang, Jing Hu, Lianfeng Shen
Research of path loss exponent and distance estimation based on Doppler effect and frequency diversity. WCSP (2015)
Wenqian Huang, Yiwei Mao, Xu Min, Jing Hu, Lianfeng Shen
Analysis of SFR's impaction on delay time based DMMAC for VANETs. WCSP (2015)
Xu Min, Yu Zhou, Shu Liu, Xiang Bai
Real-time object tracking via optimal feature subspace. ICIP (2014)
Xu Min, Wang Yu, Yi-qun Cui, Wen-yu Li, Fang Gu
Implementation of Simulation Platform for Craniofacial Surgery Based on COM. ISCSCT (1) (2008)
Wu Wei, Liu Xin, Xu Min, Peng Jinrong, Rudy Setiono
A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression. ICPR (2) (2004)