Xiaolong Li

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 62

Top Topics

Customer Service

Graph Embedding

Top Venues

WWW (Companion Volume)

Publications

Zengguang Hao, Jie Zhang, Binxia Xu, Yafang Wang, Gerard de Melo, Xiaolong Li
IntentDial: An Intent Graph based Multi-Turn Dialogue System with Reasoning Path Visualization. CoRR (2023)
Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou
A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. DASFAA (4) (2023)
Minghui Yang, Shaosheng Cao, Binbin Hu, Xianling Chen, Hengbin Cui, Zhiqiang Zhang, Jun Zhou, Xiaolong Li
IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation. ICDE (2021)
Zhi Bian, Shaojun Zhou, Hao Fu, Qihong Yang, Zhenqi Sun, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li
Denoising User-aware Memory Network for Recommendation. RecSys (2021)
Minghui Yang, Hengbin Cui, Shaosheng Cao, Yafang Wang, Xiaolong Li
ServiceGroup: A Human-Machine Cooperation Solution for Group Chat Customer Service. SIGIR (2020)
Xiang Hu, Zujie Wen, Yafang Wang, Xiaolong Li, Gerard de Melo
Interactive Question Clarification in Dialogue via Reinforcement Learning. CoRR (2020)
Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li
Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization. CoRR (2020)
Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan Qi
RNE: A Scalable Network Embedding for Billion-scale Recommendation. CoRR (2020)
Siyuan Qiu, Binxia Xu, Jie Zhang, Yafang Wang, Xiaoyu Shen, Gerard de Melo, Chong Long, Xiaolong Li
EasyAug: An Automatic Textual Data Augmentation Platform for Classification Tasks. WWW (Companion Volume) (2020)
Xiang Hu, Zujie Wen, Yafang Wang, Xiaolong Li, Gerard de Melo
Interactive Question Clarification in Dialogue via Reinforcement Learning. COLING (Industry) (2020)
Zhiming Wang, Kaisheng Yao, Xiaolong Li, Shuo Fang
Multi-Resolution Multi-Head Attention in Deep Speaker Embedding. ICASSP (2020)
Wenjing Fang, Jun Zhou, Xiaolong Li, Kenny Q. Zhu
Unpack Local Model Interpretation for GBDT. CoRR (2020)
Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song
Heterogeneous Graph Neural Networks for Malicious Account Detection. CoRR (2020)
Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan Qi
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay. CoRR (2020)
Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi
Uncovering Insurance Fraud Conspiracy with Network Learning. CoRR (2020)
Shuang Peng, Hengbin Cui, Niantao Xie, Sujian Li, Jiaxing Zhang, Xiaolong Li
Enhanced-RCNN: An Efficient Method for Learning Sentence Similarity. WWW (2020)
Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi
Long Short-Term Sample Distillation. CoRR (2020)
Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li, Yu Qiao
aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots. CIKM (2020)
Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong
How Much Can A Retailer Sell? Sales Forecasting on Tmall. CoRR (2020)
Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi
Long Short-Term Sample Distillation. AAAI (2020)
Zihao Wang, Jia Liu, Hengbin Cui, Chunxiang Jin, Minghui Yang, Yafang Wang, Xiaolong Li, Renxin Mao
Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection. IJCAI (2020)
Cen Chen, Chilin Fu, Xu Hu, Xiaolu Zhang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao
Reinforcement Learning for User Intent Prediction in Customer Service Bots. SIGIR (2019)
Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. CoRR (2019)
Chong Long, Xiaotong Zhang, Yafang Wang, Xiaolu Lu, Feiwu Han, Jiaxing Zhang, Xiaolong Li
SNSaPP: Unbiased Social Media Analysis Against Paid Posters. ICDM Workshops (2019)
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
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. ACM Trans. Intell. Syst. Technol. 10 (5) (2019)
Zhiming Wang, Kaisheng Yao, Shuo Fang, Xiaolong Li
Joint Optimization of Classification and Clustering for Deep Speaker Embedding. ASRU (2019)
Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li
AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot. IJCAI (2019)
Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi
Uncovering Insurance Fraud Conspiracy with Network Learning. SIGIR (2019)
Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao
Multi-Domain Gated CNN for Review Helpfulness Prediction. WWW (2019)
Longfei Li, Ziqi Liu, Chaochao Chen, Ya-Lin Zhang, Jun Zhou, Xiaolong Li
A Time Attention based Fraud Transaction Detection Framework. CoRR (2019)
Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. AAAI (2019)
Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi
RNE: A Scalable Network Embedding for Billion-Scale Recommendation. PAKDD (2) (2019)
Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. AAAI (2019)
Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Qi
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. Proc. VLDB Endow. 12 (12) (2019)
Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong
How Much Can A Retailer Sell? Sales Forecasting on Tmall. PAKDD (2) (2019)
Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li
Distributed Collaborative Hashing and Its Applications in Ant Financial. CoRR (2018)
Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li
Distributed Collaborative Hashing and Its Applications in Ant Financial. KDD (2018)
Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li
Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization. AAAI (2018)
Longfei Li, Peilin Zhao, Jun Zhou, Xiaolong Li
A Boosting Framework of Factorization Machine. CoRR (2018)
Cen Chen, Yinfei Yang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao
Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators. NAACL-HLT (2) (2018)
Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao
Review Helpfulness Prediction with Embedding-Gated CNN. CoRR (2018)
Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song
Heterogeneous Graph Neural Networks for Malicious Account Detection. CIKM (2018)
Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan (Alan) Qi
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay. IEEE BigData (2018)
Li Wang, Chaochao Chen, Jun Zhou, Xiaolong Li
Time-sensitive Customer Churn Prediction based on PU Learning. CoRR (2018)
Wenjing Fang, Jun Zhou, Xiaolong Li, Kenny Q. Zhu
Unpack Local Model Interpretation for GBDT. DASFAA (2) (2018)
Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Zhi-Hua Zhou
Anomaly Detection with Partially Observed Anomalies. WWW (Companion Volume) (2018)
Biao Xiang, Ziqi Liu, Jun Zhou, Xiaolong Li
Feature Propagation on Graph: A New Perspective to Graph Representation Learning. CoRR (2018)
Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. CoRR (2018)
Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. CoRR (2018)
Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li
A Local Online Learning Approach for Non-linear Data. PAKDD (2) (2018)
Zhiqiang Zhang, Chaochao Chen, Jun Zhou, Xiaolong Li
An Industrial-Scale System for Heterogeneous Information Card Ranking in Alipay. DASFAA (2) (2018)
Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li
cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information. AAAI (2018)
Ziqi Liu, Chaochao Chen, Jun Zhou, Xiaolong Li, Feng Xu, Tao Chen, Le Song
POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection. CCS (2017)
Shaosheng Cao, Xinxing Yang, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi, Kai Xiao
POSTER: Actively Detecting Implicit Fraudulent Transactions. CCS (2017)
Longfei Li, Jun Zhou, Xiaolong Li, Tao Chen
POSTER: Practical Fraud Transaction Prediction. CCS (2017)
Jun Zhou, Qing Cui, Xiaolong Li, Peilin Zhao, Shenquan Qu, Jun Huang
PSMART: Parameter Server based Multiple Additive Regression Trees System. WWW (Companion Volume) (2017)
Zhiming Wang, Xiaolong Li, Jun Zhou
Small-footprint Keyword Spotting Using Deep Neural Network and Connectionist Temporal Classifier. CoRR (2017)
Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li
Investigating Stroke-Level Information for Learning Chinese Word Embeddings. ISWC (Posters, Demos & Industry Tracks) (2017)
Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li, Minghui Qiu
Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems. WWW (Companion Volume) (2017)
Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. KDD (2017)
Chaochao Chen, Xinxing Yang, Li Wang, Jun Zhou, Xiaolong Li
Large scale app recommendation in Ant Financial. IEEE BigData (2017)
Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Yujiang Liu, Yuanchao Zhang, Zhi-Hua Zhou
POSTER: A PU Learning based System for Potential Malicious URL Detection. CCS (2017)