Long Xia

According to our database, Long Xia authored at least 49 papers between 2013 and 2024.

Collaborative distances:

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

2024

Consecutive knowledge meta-adaptation learning for unsupervised medical diagnosis.

Yumin Zhang, Hongliu Li, Yawen Hou, Xiuyi Chen, Hongyuan Yu, Long Xia

Knowl. Based Syst., 2024

Knowledge-Aware Learning Framework Based on Schema Theory to Complement Large Learning Models.

Long Xia, Wenqi Shen, Weiguo Fan, G. Alan Wang

J. Manag. Inf. Syst., 2024

Social contagions in business resilience: Evidence from the U.S. restaurant industry in the COVID-19 pandemic.

Long Xia, Christopher Lee

Decis. Support Syst., 2024

OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction.

Zhonghang Li, Long Xia, Lei Shi, Yong Xu, Dawei Yin, Chao Huang

CoRR, 2024

MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification.

Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin

CoRR, 2024

Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks.

Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin

CoRR, 2024

Text-Video Retrieval via Multi-Modal Hypergraph Networks.

Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

HiGPT: Heterogeneous Graph Language Model.

Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

UrbanGPT: Spatio-Temporal Large Language Models.

Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Sequential Recommendation with User Evolving Preference Decomposition.

Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Jingsen Zhang, Dawei Yin

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

2022

Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization.

Jiashu Zhao, Jimmy Xiangji Huang, Hongbo Deng, Yi Chang, Long Xia

ACM Trans. Inf. Syst., 2022

Historical profile will tell? A deep learning-based multi-level embedding framework for adverse drug event detection and extraction.

Long Xia

Decis. Support Syst., 2022

Consecutive Knowledge Meta-Adaptation Learning for Unsupervised Medical Diagnosis.

Yumin Zhang, Yawen Hou, Xiuyi Chen, Hongyuan Yu, Long Xia

CoRR, 2022

Sequential Recommendation with User Evolving Preference Decomposition.

Weiqi Shao, Xu Chen, Long Xia, Jiashu Zhao, Dawei Yin

CoRR, 2022

2021

Sequential Recommendation with Adaptive Preference Disentanglement.

Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin

CoRR, 2021

Learning Reinforced Dynamic Representations for Sequential Recommendation.

Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin

CoRR, 2021

Data-Efficient Reinforcement Learning for Malaria Control.

Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin

CoRR, 2021

UserSim: User Simulation via Supervised GenerativeAdversarial Network.

Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Reinforcement Recommendation with User Multi-aspect Preference.

Xu Chen, Yali Du, Long Xia, Jun Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation.

Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, Shaozhang Niu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Human Learning-Augmented Machine Learning Frameworks for Text Analytics.

Long Xia

PhD thesis, 2020

Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network.

Xu Chen, Kun Xiong, Yongfeng Zhang, Long Xia, Dawei Yin, Jimmy Xiangji Huang

ACM Trans. Inf. Syst., 2020

Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation.

Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Neural Interactive Collaborative Filtering.

Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin

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

Reinforcement Learning to Rank with Pairwise Policy Gradient.

Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen

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

KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation.

Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy X. Huang

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

Design and Implementation of Intelligent Ear Tag for Dairy Cows in Farms.

Long Xia, Sun Chunxia, Tan Ming

Proceedings of the 9th International Conference on Software and Computer Applications, 2020

Whole-Chain Recommendations.

Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang

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

2019

Deep reinforcement learning for search, recommendation, and online advertising: a survey.

Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin

SIGWEB Newsl., 2019

Toward Simulating Environments in Reinforcement Learning Based Recommendations.

Xiangyu Zhao, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang

CoRR, 2019

Model-Based Reinforcement Learning for Whole-Chain Recommendations.

Xiangyu Zhao, Long Xia, Yihong Zhao, Dawei Yin, Jiliang Tang

CoRR, 2019

A Deep Learning Based Transfer Learning Framework for Healthcare Text Analytics.

Long Xia, Alan Wang, Weiguo Fan, Wenqi Shen

Proceedings of the 23rd Pacific Asia Conference on Information Systems, 2019

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems.

Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Off-policy Learning for Multiple Loggers.

Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Reinforcement Learning to Diversify Top-N Recommendation.

Lixin Zou, Long Xia, Zhuoye Ding, Dawei Yin, Jiaxing Song, Weidong Liu

Proceedings of the Database Systems for Advanced Applications, 2019

Transfer Learning in Knowledge-Intensive Tasks: A Test in Healthcare Text Analytics.

Long Xia, David M. Goldberg, Sukhwa Hong, Patricia Garvey

Proceedings of the 25th Americas Conference on Information Systems, 2019

Modeling Local Ambulance Resource Scheduling.

David M. Goldberg, Patricia Garvey, Long Xia, Sukhwa Hong

Proceedings of the 25th Americas Conference on Information Systems, 2019

2018

A Spatiotemporal Contextual Model for Forest Fire Detection Using Himawari-8 Satellite Data.

Zixi Xie, Weiguo Song, Rui Ba, Xiaolian Li, Long Xia

Remote. Sens., 2018

Reinforcement Learning for Online Information Seeking.

Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin

CoRR, 2018

Deep reinforcement learning for page-wise recommendations.

Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.

Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin

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

2017

Directly Optimize Diversity Evaluation Measures: A New Approach to Search Result Diversification.

Jun Xu, Long Xia, Yanyan Lan, Jiafeng Guo, Xueqi Cheng

ACM Trans. Intell. Syst. Technol., 2017

Adapting Markov Decision Process for Search Result Diversification.

Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

A Deep Learning Based Named Entity Recognition Approach for Adverse Drug Events Identification and Extraction in Health Social Media.

Long Xia, G. Alan Wang, Weiguo Fan

Proceedings of the Smart Health - International Conference, 2017

2016

A Surrogate-based Generic Classifier for Chinese TV Series Reviews.

Yufeng Ma, Long Xia, Wenqi Shen, Mi Zhou, Weiguo Fan

CoRR, 2016

Modeling Document Novelty with Neural Tensor Network for Search Result Diversification.

Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

VTIR at the NTCIR-12 2016 Lifelog Semantic Access Task.

Long Xia, Yufeng Ma, Weiguo Fan

Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016

2015

Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures.

Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

2013

ICTNET at Session Track TREC 2013.

Zhenhong Chen, Long Xia, Xiaoming Yu, Yue Liu, Xueqi Cheng

Proceedings of The Twenty-Second Text REtrieval Conference, 2013