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2020 – today
- 2024
[j9]Long Xia, Christopher Lee:
Social contagions in business resilience: Evidence from the U.S. restaurant industry in the COVID-19 pandemic. Decis. Support Syst. 184: 114288 (2024)- [j8]Long Xia, Wenqi Shen
, Weiguo Fan, G. Alan Wang:
Knowledge-Aware Learning Framework Based on Schema Theory to Complement Large Learning Models. J. Manag. Inf. Syst. 41(2): 453-486 (2024) - [j7]Yumin Zhang, Hongliu Li, Yawen Hou, Xiuyi Chen, Hongyuan Yu, Long Xia:
Consecutive knowledge meta-adaptation learning for unsupervised medical diagnosis. Knowl. Based Syst. 291: 111573 (2024) - [c27]Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
HiGPT: Heterogeneous Graph Language Model. KDD 2024: 2842-2853 - [c26]Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
UrbanGPT: Spatio-Temporal Large Language Models. KDD 2024: 5351-5362 - [c25]Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin:
Text-Video Retrieval via Multi-Modal Hypergraph Networks. WSDM 2024: 369-377 - [i19]Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin:
Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks. CoRR abs/2401.03177 (2024) - [i18]Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
HiGPT: Heterogeneous Graph Language Model. CoRR abs/2402.16024 (2024) - [i17]Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
UrbanGPT: Spatio-Temporal Large Language Models. CoRR abs/2403.00813 (2024) - [i16]Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin:
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification. CoRR abs/2403.17421 (2024) - [i15]Zhonghang Li, Long Xia, Lei Shi, Yong Xu, Dawei Yin, Chao Huang:
OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction. CoRR abs/2408.10269 (2024) - 2023
- [c24]Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Jingsen Zhang, Dawei Yin:
Sequential Recommendation with User Evolving Preference Decomposition. SIGIR-AP 2023: 253-263 - 2022
- [j6]Long Xia:
Historical profile will tell? A deep learning-based multi-level embedding framework for adverse drug event detection and extraction. Decis. Support Syst. 160: 113832 (2022) - [j5]Jiashu Zhao, Jimmy Xiangji Huang, Hongbo Deng, Yi Chang, Long Xia:
Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization. ACM Trans. Inf. Syst. 40(3): 51:1-51:24 (2022) - [i14]Weiqi Shao, Xu Chen, Long Xia, Jiashu Zhao, Dawei Yin:
Sequential Recommendation with User Evolving Preference Decomposition. CoRR abs/2203.16942 (2022) - [i13]Yumin Zhang, Yawen Hou, Xiuyi Chen, Hongyuan Yu, Long Xia:
Consecutive Knowledge Meta-Adaptation Learning for Unsupervised Medical Diagnosis. CoRR abs/2209.10425 (2022) - 2021
- [c23]Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, Shaozhang Niu:
Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation. IJCAI 2021: 1593-1599 - [c22]Xu Chen, Yali Du, Long Xia, Jun Wang:
Reinforcement Recommendation with User Multi-aspect Preference. WWW 2021: 425-435 - [c21]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
UserSim: User Simulation via Supervised GenerativeAdversarial Network. WWW 2021: 3582-3589 - [i12]Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin:
Data-Efficient Reinforcement Learning for Malaria Control. CoRR abs/2105.01620 (2021) - [i11]Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin:
Learning Reinforced Dynamic Representations for Sequential Recommendation. CoRR abs/2112.02787 (2021) - [i10]Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin:
Sequential Recommendation with Adaptive Preference Disentanglement. CoRR abs/2112.02812 (2021) - 2020
- [b1]Long Xia:
Human Learning-Augmented Machine Learning Frameworks for Text Analytics. Virginia Tech, Blacksburg, VA, USA, 2020 - [j4]Xu Chen, Kun Xiong, Yongfeng Zhang, Long Xia, Dawei Yin, Jimmy Xiangji Huang:
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network. ACM Trans. Inf. Syst. 39(1): 8:1-8:22 (2020) - [c20]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
Whole-Chain Recommendations. CIKM 2020: 1883-1891 - [c19]Long Xia, Sun Chunxia, Tan Ming:
Design and Implementation of Intelligent Ear Tag for Dairy Cows in Farms. ICSCA 2020: 297-301 - [c18]Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy X. Huang:
KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. SIGIR 2020: 209-218 - [c17]Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen:
Reinforcement Learning to Rank with Pairwise Policy Gradient. SIGIR 2020: 509-518 - [c16]Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin:
Neural Interactive Collaborative Filtering. SIGIR 2020: 749-758 - [c15]Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin:
Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. WSDM 2020: 816-824 - [i9]Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin:
Neural Interactive Collaborative Filtering. CoRR abs/2007.02095 (2020)
2010 – 2019
- 2019
- [j3]Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin:
Deep reinforcement learning for search, recommendation, and online advertising: a survey. SIGWEB Newsl. 2019(Spring): 4:1-4:15 (2019) - [c14]David M. Goldberg, Patricia Garvey, Long Xia, Sukhwa Hong:
Modeling Local Ambulance Resource Scheduling. AMCIS 2019 - [c13]Long Xia, David M. Goldberg, Sukhwa Hong, Patricia Garvey:
Transfer Learning in Knowledge-Intensive Tasks: A Test in Healthcare Text Analytics. AMCIS 2019 - [c12]Lixin Zou, Long Xia, Zhuoye Ding, Dawei Yin, Jiaxing Song, Weidong Liu:
Reinforcement Learning to Diversify Top-N Recommendation. DASFAA (2) 2019: 104-120 - [c11]Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin:
Off-policy Learning for Multiple Loggers. KDD 2019: 1184-1193 - [c10]Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin:
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. KDD 2019: 2810-2818 - [c9]Long Xia, Alan Wang, Weiguo Fan, Wenqi Shen:
A Deep Learning Based Transfer Learning Framework for Healthcare Text Analytics. PACIS 2019: 75 - [i8]Xiangyu Zhao, Long Xia, Yihong Zhao, Dawei Yin, Jiliang Tang:
Model-Based Reinforcement Learning for Whole-Chain Recommendations. CoRR abs/1902.03987 (2019) - [i7]Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin:
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. CoRR abs/1902.05570 (2019) - [i6]Xiangyu Zhao, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Toward Simulating Environments in Reinforcement Learning Based Recommendations. CoRR abs/1906.11462 (2019) - [i5]Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin:
Off-policy Learning for Multiple Loggers. CoRR abs/1907.09652 (2019) - 2018
- [j2]Zixi Xie, Weiguo Song, Rui Ba, Xiaolian Li, Long Xia:
A Spatiotemporal Contextual Model for Forest Fire Detection Using Himawari-8 Satellite Data. Remote. Sens. 10(12): 1992 (2018) - [c8]Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin:
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. KDD 2018: 1040-1048 - [c7]Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Deep reinforcement learning for page-wise recommendations. RecSys 2018: 95-103 - [i4]Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin:
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. CoRR abs/1802.06501 (2018) - [i3]Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Deep Reinforcement Learning for Page-wise Recommendations. CoRR abs/1805.02343 (2018) - [i2]Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin:
Reinforcement Learning for Online Information Seeking. CoRR abs/1812.07127 (2018) - 2017
- [j1]Jun Xu, Long Xia, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Directly Optimize Diversity Evaluation Measures: A New Approach to Search Result Diversification. ACM Trans. Intell. Syst. Technol. 8(3): 41:1-41:26 (2017) - [c6]Long Xia, G. Alan Wang, Weiguo Fan:
A Deep Learning Based Named Entity Recognition Approach for Adverse Drug Events Identification and Extraction in Health Social Media. ICSH 2017: 237-248 - [c5]Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng:
Adapting Markov Decision Process for Search Result Diversification. SIGIR 2017: 535-544 - 2016
- [c4]Long Xia, Yufeng Ma, Weiguo Fan:
VTIR at the NTCIR-12 2016 Lifelog Semantic Access Task. NTCIR 2016 - [c3]Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Modeling Document Novelty with Neural Tensor Network for Search Result Diversification. SIGIR 2016: 395-404 - [i1]Yufeng Ma, Long Xia, Wenqi Shen, Mi Zhou, Weiguo Fan:
A Surrogate-based Generic Classifier for Chinese TV Series Reviews. CoRR abs/1611.02378 (2016) - 2015
- [c2]Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures. SIGIR 2015: 113-122 - 2013
- [c1]Zhenhong Chen, Long Xia, Xiaoming Yu, Yue Liu, Xueqi Cheng:
ICTNET at Session Track TREC 2013. TREC 2013
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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