Xiaolong Li

According to our database, Xiaolong Li authored at least 53 papers between 2017 and 2023.

Collaborative distances:

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

2023

IntentDial: An Intent Graph based Multi-Turn Dialogue System with Reasoning Path Visualization.

Zengguang Hao, Jie Zhang, Binxia Xu, Yafang Wang, Gerard de Melo, Xiaolong Li

CoRR, 2023

A Scalable Social Recommendation Framework with Decoupled Graph Neural Network.

Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou

Proceedings of the Database Systems for Advanced Applications, 2023

2021

R4: A Framework for Route Representation and Route Recommendation.

Ran Cheng, Chao Chen, Longfei Xu, Shen Li, Lei Wang, Hengbin Cui, Kaikui Liu, Xiaolong Li

CoRR, 2021

Denoising User-aware Memory Network for Recommendation.

Zhi Bian, Shaojun Zhou, Hao Fu, Qihong Yang, Zhenqi Sun, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation.

Minghui Yang, Shaosheng Cao, Binbin Hu, Xianling Chen, Hengbin Cui, Zhiqiang Zhang, Jun Zhou, Xiaolong Li

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding.

Hao Fu, Shaojun Zhou, Qihong Yang, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

EasyAug: An Automatic Textual Data Augmentation Platform for Classification Tasks.

Siyuan Qiu, Binxia Xu, Jie Zhang, Yafang Wang, Xiaoyu Shen, Gerard de Melo, Chong Long, Xiaolong Li

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Enhanced-RCNN: An Efficient Method for Learning Sentence Similarity.

Shuang Peng, Hengbin Cui, Niantao Xie, Sujian Li, Jiaxing Zhang, Xiaolong Li

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

ServiceGroup: A Human-Machine Cooperation Solution for Group Chat Customer Service.

Minghui Yang, Hengbin Cui, Shaosheng Cao, Yafang Wang, Xiaolong Li

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection.

Zihao Wang, Jia Liu, Hengbin Cui, Chunxiang Jin, Minghui Yang, Yafang Wang, Xiaolong Li, Renxin Mao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multi-Resolution Multi-Head Attention in Deep Speaker Embedding.

Zhiming Wang, Kaisheng Yao, Xiaolong Li, Shuo Fang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Interactive Question Clarification in Dialogue via Reinforcement Learning.

Xiang Hu, Zujie Wen, Yafang Wang, Xiaolong Li, Gerard de Melo

Proceedings of the 28th International Conference on Computational Linguistics, 2020

aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots.

Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li, Yu Qiao

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Long Short-Term Sample Distillation.

Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud.

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

ACM Trans. Intell. Syst. Technol., 2019

TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial.

Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Qi

Proc. VLDB Endow., 2019

A Time Attention based Fraud Transaction Detection Framework.

Longfei Li, Ziqi Liu, Chaochao Chen, Ya-Lin Zhang, Jun Zhou, Xiaolong Li

CoRR, 2019

Multi-Domain Gated CNN for Review Helpfulness Prediction.

Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao

Proceedings of the World Wide Web Conference, 2019

Uncovering Insurance Fraud Conspiracy with Network Learning.

Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Reinforcement Learning for User Intent Prediction in Customer Service Bots.

Cen Chen, Chilin Fu, Xu Hu, Xiaolu Zhang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

RNE: A Scalable Network Embedding for Billion-Scale Recommendation.

Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

How Much Can A Retailer Sell? Sales Forecasting on Tmall.

Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot.

Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

SNSaPP: Unbiased Social Media Analysis Against Paid Posters.

Chong Long, Xiaotong Zhang, Yafang Wang, Xiaolu Lu, Feiwu Han, Jiaxing Zhang, Xiaolong Li

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Joint Optimization of Classification and Clustering for Deep Speaker Embedding.

Zhiming Wang, Kaisheng Yao, Shuo Fang, Xiaolong Li

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

GeniePath: Graph Neural Networks with Adaptive Receptive Paths.

Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism.

Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Review Helpfulness Prediction with Embedding-Gated CNN.

Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao

CoRR, 2018

Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud.

Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou

CoRR, 2018

Feature Propagation on Graph: A New Perspective to Graph Representation Learning.

Biao Xiang, Ziqi Liu, Jun Zhou, Xiaolong Li

CoRR, 2018

A Boosting Framework of Factorization Machine.

Longfei Li, Peilin Zhao, Jun Zhou, Xiaolong Li

CoRR, 2018

Time-sensitive Customer Churn Prediction based on PU Learning.

Li Wang, Chaochao Chen, Jun Zhou, Xiaolong Li

CoRR, 2018

GeniePath: Graph Neural Networks with Adaptive Receptive Paths.

Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song

CoRR, 2018

Anomaly Detection with Partially Observed Anomalies.

Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Zhi-Hua Zhou

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

A Local Online Learning Approach for Non-linear Data.

Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators.

Cen Chen, Yinfei Yang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Distributed Collaborative Hashing and Its Applications in Ant Financial.

Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

An Industrial-Scale System for Heterogeneous Information Card Ranking in Alipay.

Zhiqiang Zhang, Chaochao Chen, Jun Zhou, Xiaolong Li

Proceedings of the Database Systems for Advanced Applications, 2018

Unpack Local Model Interpretation for GBDT.

Wenjing Fang, Jun Zhou, Xiaolong Li, Kenny Q. Zhu

Proceedings of the Database Systems for Advanced Applications, 2018

Heterogeneous Graph Neural Networks for Malicious Account Detection.

Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay.

Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan (Alan) Qi

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization.

Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information.

Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Small-footprint Keyword Spotting Using Deep Neural Network and Connectionist Temporal Classifier.

Zhiming Wang, Xiaolong Li, Jun Zhou

CoRR, 2017

PSMART: Parameter Server based Multiple Additive Regression Trees System.

Jun Zhou, Qing Cui, Xiaolong Li, Peilin Zhao, Shenquan Qu, Jun Huang

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems.

Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li, Minghui Qiu

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Investigating Stroke-Level Information for Learning Chinese Word Embeddings.

Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li

Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to, 2017

KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial.

Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

POSTER: A PU Learning based System for Potential Malicious URL Detection.

Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Yujiang Liu, Yuanchao Zhang, Zhi-Hua Zhou

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection.

Ziqi Liu, Chaochao Chen, Jun Zhou, Xiaolong Li, Feng Xu, Tao Chen, Le Song

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

POSTER: Practical Fraud Transaction Prediction.

Longfei Li, Jun Zhou, Xiaolong Li, Tao Chen

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

POSTER: Actively Detecting Implicit Fraudulent Transactions.

Shaosheng Cao, Xinxing Yang, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi, Kai Xiao

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

Large scale app recommendation in Ant Financial.

Chaochao Chen, Xinxing Yang, Li Wang, Jun Zhou, Xiaolong Li

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017