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2020 – today
- 2024
[j38]Haotian Xu
, Junyu Xuan, Guangquan Zhang, Jie Lu:
Trust region policy optimization via entropy regularization for Kullback-Leibler divergence constraint. Neurocomputing 589: 127716 (2024)- [j37]Zihe Liu, Jie Lu, Junyu Xuan, Guangquan Zhang:
Deep Reinforcement Learning in Nonstationary Environments With Unknown Change Points. IEEE Trans. Cybern. 54(9): 5191-5204 (2024) - [j36]Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan:
Layer-diverse Negative Sampling for Graph Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [c19]Wei Duan, Jie Lu, Junyu Xuan:
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning. IJCAI 2024: 3926-3934 - [c18]Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan:
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. IJCAI 2024: 4634-4642 - [c17]Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain:
Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features. IJCNN 2024: 1-8 - [c16]Jianbin Shen, Christy Jie Liang, Junyu Xuan:
Improving the Factuality of Abstractive Text Summarization with Syntactic Structure-Aware Latent Semantic Space. IJCNN 2024: 1-8 - [i19]Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan:
Layer-diverse Negative Sampling for Graph Neural Networks. CoRR abs/2403.11408 (2024) - [i18]Wei Duan, Jie Lu, Junyu Xuan:
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning. CoRR abs/2403.19253 (2024) - [i17]Wei Duan, Jie Lu, Junyu Xuan:
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning. CoRR abs/2404.10976 (2024) - [i16]Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain:
Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features. CoRR abs/2405.02569 (2024) - [i15]Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan:
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. CoRR abs/2405.14214 (2024) - [i14]Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu:
LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction. CoRR abs/2407.16709 (2024) - [i13]Mengjing Wu, Junyu Xuan, Jie Lu:
Functional Stochastic Gradient MCMC for Bayesian Neural Networks. CoRR abs/2409.16632 (2024) - 2023
- [j35]Haotian Xu, Zheng Yan, Junyu Xuan, Guangquan Zhang, Jie Lu:
Improving proximal policy optimization with alpha divergence. Neurocomputing 534: 94-105 (2023) - [j34]Nan Xia, Hang Yu, Yin Wang, Junyu Xuan, Xiangfeng Luo:
DAFS: a domain aware few shot generative model for event detection. Mach. Learn. 112(3): 1011-1031 (2023) - [j33]Fujin Zhu, Jie Lu, Adi Lin, Junyu Xuan, Guangquan Zhang:
Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 35(3): 2457-2470 (2023) - [j32]Anjin Liu, Jie Lu, Yiliao Song, Junyu Xuan, Guangquan Zhang:
Concept Drift Detection Delay Index. IEEE Trans. Knowl. Data Eng. 35(5): 4585-4597 (2023) - [c15]Kiyoshige Garcés, Junyu Xuan, Hua Zuo:
Transformed Successor Features for Transfer Reinforcement Learning. AI (2) 2023: 298-309 - [c14]Jianbin Shen, Junyu Xuan, Christy Jie Liang:
Mitigating Intrinsic Named Entity-Related Hallucinations of Abstractive Text Summarization. EMNLP (Findings) 2023: 15807-15824 - [c13]Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain:
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework. IJCNN 2023: 1-8 - [c12]Jianbin Shen, Junyu Xuan, Christy Jie Liang:
A Determinantal Point Process Based Novel Sampling Method of Abstractive Text Summarization. IJCNN 2023: 1-8 - [i12]Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain:
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework. CoRR abs/2305.01322 (2023) - 2022
- [c11]Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu:
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. AAAI 2022: 6550-6558 - [i11]Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu:
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. CoRR abs/2210.00728 (2022) - [i10]Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu:
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes. CoRR abs/2212.02055 (2022) - 2021
- [j31]Jinghua Zhao, Junyu Xuan:
Special issue on intelligent computing methodologies in machine learning for IoT applications. Neural Comput. Appl. 33(14): 8105-8106 (2021) - [j30]Qian Liu, Heyan Huang, Junyu Xuan, Guangquan Zhang, Yang Gao, Jie Lu:
A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion. IEEE Trans. Fuzzy Syst. 29(8): 2132-2144 (2021) - [j29]Junyu Xuan, Jie Lu, Guangquan Zhang:
Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining. ACM Trans. Intell. Syst. Technol. 12(1): 5:1-5:22 (2021) - [j28]Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang:
Open Set Domain Adaptation: Theoretical Bound and Algorithm. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4309-4322 (2021) - [c10]Wei Duan, Junyu Xuan, Jie Lu:
Negative Samples-enhanced Graph Convolutional Neural Networks. ISKE 2021: 262-268 - [i9]Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain:
Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model. CoRR abs/2107.08183 (2021) - [i8]Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang:
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time. CoRR abs/2109.11929 (2021) - [i7]Junyu Xuan, Jie Lu, Guangquan Zhang:
Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning. CoRR abs/2109.13233 (2021) - 2020
- [j27]Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang:
A Causal Dirichlet Mixture Model for Causal Inference from Observational Data. ACM Trans. Intell. Syst. Technol. 11(3): 33:1-33:29 (2020) - [j26]Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang:
Web event evolution trend prediction based on its computational social context. World Wide Web 23(3): 1861-1886 (2020) - [c9]Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Liò:
Path Integral Based Convolution and Pooling for Graph Neural Networks. NeurIPS 2020 - [i6]Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Lió:
Path Integral Based Convolution and Pooling for Graph Neural Networks. CoRR abs/2006.16811 (2020)
2010 – 2019
- 2019
- [j25]Junyu Xuan, Jie Lu, Guangquan Zhang:
Cooperative hierarchical Dirichlet processes: Superposition vs. maximization. Artif. Intell. 271: 43-73 (2019) - [j24]Junyu Xuan, Jie Lu, Guangquan Zhang:
A Survey on Bayesian Nonparametric Learning. ACM Comput. Surv. 52(1): 13:1-13:36 (2019) - [c8]Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang:
One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data. ICDM 2019: 419-428 - [i5]Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang:
Open Set Domain Adaptation: Theoretical Bound and Algorithm. CoRR abs/1907.08375 (2019) - 2018
- [j23]Junyu Xuan, Jie Lu, Zheng Yan, Guangquan Zhang:
Bayesian Deep Reinforcement Learning via Deep Kernel Learning. Int. J. Comput. Intell. Syst. 12(1): 164-171 (2018) - [j22]Jie Lu, Junyu Xuan, Guangquan Zhang, Xiangfeng Luo:
Structural property-aware multilayer network embedding for latent factor analysis. Pattern Recognit. 76: 228-241 (2018) - [j21]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1835-1849 (2018) - [c7]Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu:
Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. AAAI 2018: 5261-5268 - 2017
- [j20]Dandan Jiang, Xiangfeng Luo, Junyu Xuan, Zheng Xu:
Sentiment Computing for the News Event Based on the Social Media Big Data. IEEE Access 5: 2373-2382 (2017) - [j19]Zheng Xu, Hui Zhang, Chuanping Hu, Yunhuai Liu, Junyu Xuan, Lin Mei:
Crowdsourcing-based timeline description of urban emergency events using social media. Int. J. Ad Hoc Ubiquitous Comput. 25(1/2): 41-51 (2017) - [j18]Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang:
Explicitly and implicitly exploiting the hierarchical structure for mining website interests on news events. Inf. Sci. 420: 263-277 (2017) - [j17]Zheng Xu, Junyu Xuan, Yunhuai Liu, Kim-Kwang Raymond Choo, Lin Mei, Chuanping Hu:
Building spatial temporal relation graph of concepts pair using web repository. Inf. Syst. Frontiers 19(5): 1029-1038 (2017) - [j16]Weidong Liu, Xiangfeng Luo, Junyu Xuan, Dandan Jiang, Zheng Xu:
Association Link Network Based Semantic Coherence Measurement for Short Texts of Web Events. J. Web Eng. 16(1&2): 39-62 (2017) - [j15]Wen Ma, Xiangfeng Luo, Junyu Xuan, Ruirong Xue:
Discover Semantic Topics in Patents within a Specific Domain. J. Web Eng. 16(7&8): 653-675 (2017) - [j14]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
A Bayesian nonparametric model for multi-label learning. Mach. Learn. 106(11): 1787-1815 (2017) - [j13]Zheng Xu, Yunhuai Liu, Junyu Xuan, Haiyan Chen, Lin Mei:
Crowdsourcing based social media data analysis of urban emergency events. Multim. Tools Appl. 76(9): 11567-11584 (2017) - [j12]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes. IEEE Trans. Knowl. Data Eng. 29(7): 1357-1369 (2017) - [i4]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu:
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization. CoRR abs/1707.05420 (2017) - 2016
- [b1]Junyu Xuan:
Bayesian nonparametric learning for complicated text mining. University of Technology Sydney, Australia, 2016 - [j11]Zheng Xu, Hui Zhang, Chuanping Hu, Lin Mei, Junyu Xuan, Kim-Kwang Raymond Choo, Vijayan Sugumaran, Yiwei Zhu:
Building knowledge base of urban emergency events based on crowdsourcing of social media. Concurr. Comput. Pract. Exp. 28(15): 4038-4052 (2016) - [j10]Weidong Liu, Xiangfeng Luo, Zhiguo Gong, Junyu Xuan, Ngai Meng Kou, Zheng Xu:
Discovering the core semantics of event from social media. Future Gener. Comput. Syst. 64: 175-185 (2016) - [j9]Weidong Liu, Xiangfeng Luo, Junyu Xuan, Zheng Xu, Dandan Jiang:
Cognitive memory-inspired sentence ordering model. Knowl. Based Syst. 104: 1-13 (2016) - [j8]Xiangfeng Luo, Junyu Xuan, Jie Lu, Guangquan Zhang:
Measuring the Semantic Uncertainty of News Events for Evolution Potential Estimation. ACM Trans. Inf. Syst. 34(4): 24:1-24:25 (2016) - [j7]Junyu Xuan, Xiangfeng Luo, Guangquan Zhang, Jie Lu, Zheng Xu:
Uncertainty Analysis for the Keyword System of Web Events. IEEE Trans. Syst. Man Cybern. Syst. 46(6): 829-842 (2016) - 2015
- [j6]Yang Liu, Xiangfeng Luo, Junyu Xuan:
Online hot event discovery based on Association Link Network. Concurr. Comput. Pract. Exp. 27(15): 4001-4014 (2015) - [j5]Qichen Ma, Xiangfeng Luo, Junyu Xuan, Huimin Liu:
Bayesian Based Type Discrimination of Web Events. J. Web Eng. 14(5&6): 525-544 (2015) - [j4]Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo:
Topic Model for Graph Mining. IEEE Trans. Cybern. 45(12): 2792-2803 (2015) - [c6]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process. ICDM 2015: 489-498 - [c5]Zheng Xu, Junyu Xuan:
Temporal Learning of Semantic Relations between Concepts Using Web Repository. SKG 2015: 239-243 - [i3]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process. CoRR abs/1503.08535 (2015) - [i2]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Nonparametric Relational Topic Models through Dependent Gamma Processes. CoRR abs/1503.08542 (2015) - [i1]Junyu Xuan, Jie Lu, Xiangfeng Luo, Guangquan Zhang:
Nonnegative Multi-level Network Factorization for Latent Factor Analysis. CoRR abs/1504.00416 (2015) - 2014
- [j3]Xiangfeng Luo, Huimin Liu, Junyu Xuan:
Website Interaction Network. J. Organ. Comput. Electron. Commer. 24(2-3): 215-235 (2014) - [j2]Xiangfeng Luo, Junyu Xuan, Huimin Liu:
Web Event State Prediction Model: Combining Prior Knowledge with Real Time Data. J. Web Eng. 13(5&6): 483-506 (2014) - [j1]Shunxiang Zhang, Xiangfeng Luo, Junyu Xuan, Xue Chen, Weimin Xu:
Discovering small-world in association link networks for association learning. World Wide Web 17(2): 229-254 (2014) - [c4]Jinbiao Jing, Xiangfeng Luo, Junyu Xuan, Weidong Liu:
Cognition-Based Semantic Annotation for Web Images. BDCloud 2014: 540-546 - [c3]Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo:
Extension of similarity measures in VSM: From orthogonal coordinate system to affine coordinate system. IJCNN 2014: 4084-4091 - 2013
- [c2]Junyu Xuan, Xiangfeng Luo, Jie Lu:
Mining Websites Preferences on Web Events in Big Data Environment. CSE 2013: 1043-1050 - 2011
- [c1]Junyu Xuan, Xiangfeng Luo, Shunxiang Zhang, Zheng Xu, Huimin Liu, Feiyue Ye:
Building Hierarchical Keyword Level Association Link Networks for Web Events Semantic Analysis. DASC 2011: 987-994
Coauthor Index
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last updated on 2024-10-21 21:28 CEST by the dblp team
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