Xu Min - RankMe

30 papers A* 5A 2B 2Journal 10Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards Reliable Social A/B Testing: Spillover-Contained Clustering with Robust Post-Experiment Analysis. CoRR Xu Min, Zhaoxu Yang, Kaixuan Tan, Juan Yan, Xunbin Xiong, Zihao Zhu, Kaiyu Zhu, Fenglin Cui, Yang Yang, Sihua Yang, Jianhui Bu
2026	J	`jnl`	UniShare: A Unified Framework for Joint Video and Receiver Recommendation in Social Sharing. CoRR Caimeng Wang, Li Chong, Dongxu Liu, Xu Min, Jianhui Bu
2024	—	`conf`	Aligned Side Information Fusion Method for Sequential Recommendation. WWW (Companion Volume) Shuhan Wang, Bin Shen, Xu Min, Yong He, Xiaolu Zhang, Liang Zhang, Jun Zhou, Linjian Mo
2024	A*	`conf`	Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR 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
2024	A*	`conf`	Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization. NeurIPS Rongzhen Wang, Chenyu Zheng, Guoqiang Wu, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li
2024	B	`conf`	MIBR: Bridging Domains through Diverse Interests for Cross-Domain Sequential Recommendation. IEEE Big Data Chengzhe Zhang, Xu Min, Changsheng Li, Xiaolu Zhang, Weichang Wu, Jun Zhou, Ye Yuan, Guoren Wang
2024	A*	`conf`	Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations. ICML Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li
2024	J	`jnl`	Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations. CoRR Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li
2023	J	`jnl`	AntM CoRR 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
2023	—	`conf`	BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency. ECML/PKDD (6) Jun Hu, Xu Min, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou
2023	A	`conf`	DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction. CIKM Bin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong, Linjian Mo
2023	A*	`conf`	SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation. KDD Zhaoxin Huan, Ang Li, Xiaolu Zhang, Xu Min, Jieyu Yang, Yong He, Jun Zhou
2023	A	`conf`	SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation. CIKM Xu Min, Xiaolu Zhang, Bin Shen, Shuhan Wang, Yong He, Changsheng Li, Jun Zhou
2023	A*	`conf`	Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System. SIGIR Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Xu Min
2022	—	`conf`	Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities. ICIC (1) 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
2022	—	`conf`	TAMOR: Tier-Aware Multi-objective Recommendation for Ant Fortune Financial Marketing. ECML/PKDD (6) Xu Min, Xiaolu Zhang, Jun Zhou, Changxun Fan, Junlin Yu
2021	J	`jnl`	Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. CoRR 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, Parthasarathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Y. Yuen-Reed, Kenney Ng, Daby Sow, Bradley A. Malin
2020	J	`jnl`	Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning. CoRR Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li
2020	—	`conf`	Embracing Disease Progression with a Learning System for Real World Evidence Discovery. ICIC (2) Zefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng, Shaochun Li, Pengwei Hu, Zhuhong You
2019	J	`jnl`	EnDisease: a manually curated database for enhancer-disease associations. Database J. Biol. Databases Curation Wanwen Zeng, Xu Min, Rui Jiang
2018	J	`jnl`	The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations. CoRR Xi Zhang, Dandi Chen, Yongjun Zhu, Chao Che, Chang Su, Sendong Zhao, Xu Min, Fei Wang
2017	J	`jnl`	Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding. Bioinform. Xu Min, Wanwen Zeng, Ning Chen, Ting Chen, Rui Jiang
2017	—	`conf`	Patient outcome prediction via convolutional neural networks based on multi-granularity medical concept embedding. BIBM Yujuan Feng, Xu Min, Ning Chen, Hu Chen, Xiaolei Xie, Haibo Wang, Ting Chen
2017	J	`jnl`	Predicting enhancers with deep convolutional neural networks. BMC Bioinform. Xu Min, Wanwen Zeng, Shengquan Chen, Ning Chen, Ting Chen, Rui Jiang
2016	—	`conf`	DeepEnhancer: Predicting enhancers by convolutional neural networks. BIBM Xu Min, Ning Chen, Ting Chen, Rui Jiang
2015	—	`conf`	Analysis of SFR's impaction on delay time based DMMAC for VANETs. WCSP Wenqian Huang, YiWei Mao, Xu Min, Jing Hu, Lianfeng Shen
2015	—	`conf`	Research of path loss exponent and distance estimation based on Doppler effect and frequency diversity. WCSP Xu Min, Ziyan Jia, Wenqian Huang, Jing Hu, Lianfeng Shen
2014	B	`conf`	Real-time object tracking via optimal feature subspace. ICIP Xu Min, Yu Zhou, Shu Liu, Xiang Bai
2008	—	`conf`	Implementation of Simulation Platform for Craniofacial Surgery Based on COM. ISCSCT (1) Xu Min, Wang Yu, Yi-qun Cui, Wen-yu Li, Fang Gu
2004	—	`conf`	A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression. ICPR (2) Wu Wei, Liu Xin, Xu Min, Peng Jinrong, Rudy Setiono