Junyu Xuan - RankMe

100 papers A* 9A 3B 5C 1Misc 1Journal 72Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Successor Features Composition for Transfer Reinforcement Learning. IEEE Trans. Artif. Intell. Kiyoshige Garcés, Junyu Xuan, Hua Zuo
2026	A*	`conf`	Discovering Mixture Skills for Unsupervised Reinforcement Learning. AAAI Nelson Ma, Junyu Xuan, Guangquan Zhang, Jie Lu
2026	J	`jnl`	Diversity-Driven Model Ensemble Adaptive Trust Region Policy Optimization. IEEE Trans. Syst. Man Cybern. Syst. Haotian Xu, Zheng Yan, Junyu Xuan, Guangquan Zhang, Jie Lu
2026	J	`jnl`	Learning unknown reward function for drone navigation based on inverse deep reinforcement learning. Neural Comput. Appl. Zhe Chen, Junyu Xuan
2026	J	`jnl`	VGAS: Value-Guided Action-Chunk Selection for Few-Shot Vision-Language-Action Adaptation. CoRR Changhua Xu, Jie Lu, Junyu Xuan, En Yu
2025	—	`conf`	A Multimodal Deep Learning End-to-End Model for Improving Barley Genotype-to-Phenotype Prediction Using Heterogeneous Data. CAI Samuel Pradhan, Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu
2025	J	`jnl`	Bandwidth-constrained Variational Message Encoding for Cooperative Multi-agent Reinforcement Learning. CoRR Wei Duan, Jie Lu, En Yu, Junyu Xuan
2025	J	`jnl`	Bayesian Ego-graph inference for Networked Multi-Agent Reinforcement Learning. CoRR Wei Duan, Jie Lu, Junyu Xuan
2025	A*	`conf`	Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space. ICLR Mengjing Wu, Junyu Xuan, Jie Lu
2025	A	`conf`	Functional Stochastic Gradient MCMC for Bayesian Neural Networks. AISTATS Mengjing Wu, Junyu Xuan, Jie Lu
2025	J	`jnl`	Global-Local Decomposition of Contextual Representations in Meta-Reinforcement Learning. IEEE Trans. Cybern. Nelson Ma, Junyu Xuan, Guangquan Zhang, Jie Lu
2025	J	`jnl`	HiBBO: HiPPO-based Space Consistency for High-dimensional Bayesian Optimisation. CoRR Junyu Xuan, Wenlong Chen, Yingzhen Li
2025	J	`jnl`	Inferring Latent Temporal Sparse Coordination Graph for Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Wei Duan, Jie Lu, Junyu Xuan
2025	J	`jnl`	InforME: Improving Informativeness of Abstractive Text Summarization With Informative Attention Guided by Named Entity Salience. CoRR Jianbin Shen, Christy Jie Liang, Junyu Xuan
2025	J	`jnl`	Learning Latent and Changing Dynamics in Real Non-Stationary Environments. IEEE Trans. Knowl. Data Eng. Zihe Liu, Jie Lu, Junyu Xuan, Guangquan Zhang
2025	J	`jnl`	SFSWTS: A spatial-frequency shifted windows and time self-attention network for EEG emotion recognition. Neurocomputing Weizhi Ma, Ying Li, Tianhao Li, Haowei Yang, Zhengping Li, Lijun Wang, Junyu Xuan
2025	—	`conf`	Transfer Reinforcement Learning for Self-Regulated Learning Support: An Evaluation Using Successor Representations. AIED (6) Kiyoshige Garcés, Gloria Milena Fernández Nieto, Mladen Rakovic, Xinyu Li, Tongguang Li, Linxuan Zhao, Dragan Gasevic, Junyu Xuan, Hua Zuo
2025	J	`jnl`	Twin Trust Region Policy Optimization. IEEE Trans. Syst. Man Cybern. Syst. Haotian Xu, Junyu Xuan, Guangquan Zhang, Jie Lu
2024	A*	`conf`	A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. IJCAI Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan
2024	J	`jnl`	A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. CoRR Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan
2024	J	`jnl`	A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement Learning. CoRR Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain
2024	B	`conf`	Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features. IJCNN Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain
2024	J	`jnl`	Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features. CoRR Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain
2024	J	`jnl`	Deep Reinforcement Learning in Nonstationary Environments With Unknown Change Points. IEEE Trans. Cybern. Zihe Liu, Jie Lu, Junyu Xuan, Guangquan Zhang
2024	J	`jnl`	Functional Stochastic Gradient MCMC for Bayesian Neural Networks. CoRR Mengjing Wu, Junyu Xuan, Jie Lu
2024	A	`conf`	Functional Wasserstein Bridge Inference for Bayesian Deep Learning. UAI Mengjing Wu, Junyu Xuan, Jie Lu
2024	A	`conf`	Functional Wasserstein Variational Policy Optimization. UAI Junyu Xuan, Mengjing Wu, Zihe Liu, Jie Lu
2024	J	`jnl`	Graph Convolutional Neural Networks With Diverse Negative Samples via Decomposed Determinant Point Processes. IEEE Trans. Neural Networks Learn. Syst. Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
2024	A*	`conf`	Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning. IJCAI Wei Duan, Jie Lu, Junyu Xuan
2024	J	`jnl`	Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning. CoRR Wei Duan, Jie Lu, Junyu Xuan
2024	B	`conf`	Improving the Factuality of Abstractive Text Summarization with Syntactic Structure-Aware Latent Semantic Space. IJCNN Jianbin Shen, Christy Jie Liang, Junyu Xuan
2024	J	`jnl`	Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning. CoRR Wei Duan, Jie Lu, Junyu Xuan
2024	—	`conf`	LSTM Autoencoder-Based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction. AI (1) Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu
2024	J	`jnl`	LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction. CoRR Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu
2024	J	`jnl`	Layer-diverse Negative Sampling for Graph Neural Networks. CoRR Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan
2024	J	`jnl`	Layer-diverse Negative Sampling for Graph Neural Networks. Trans. Mach. Learn. Res. Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan
2024	J	`jnl`	Trust region policy optimization via entropy regularization for Kullback-Leibler divergence constraint. Neurocomputing Haotian Xu, Junyu Xuan, Guangquan Zhang, Jie Lu
2023	B	`conf`	A Determinantal Point Process Based Novel Sampling Method of Abstractive Text Summarization. IJCNN Jianbin Shen, Junyu Xuan, Christy Jie Liang
2023	B	`conf`	An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework. IJCNN Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain
2023	J	`jnl`	An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework. CoRR Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain
2023	J	`jnl`	Concept Drift Detection Delay Index. IEEE Trans. Knowl. Data Eng. Anjin Liu, Jie Lu, Yiliao Song, Junyu Xuan, Guangquan Zhang
2023	J	`jnl`	DAFS: a domain aware few shot generative model for event detection. Mach. Learn. Nan Xia, Hang Yu, Yin Wang, Junyu Xuan, Xiangfeng Luo
2023	J	`jnl`	Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. Fujin Zhu, Jie Lu, Adi Lin, Junyu Xuan, Guangquan Zhang
2023	J	`jnl`	Improving proximal policy optimization with alpha divergence. Neurocomputing Haotian Xu, Zheng Yan, Junyu Xuan, Guangquan Zhang, Jie Lu
2023	—	`conf`	Mitigating Intrinsic Named Entity-Related Hallucinations of Abstractive Text Summarization. EMNLP (Findings) Jianbin Shen, Junyu Xuan, Christy Jie Liang
2023	—	`conf`	Transformed Successor Features for Transfer Reinforcement Learning. AI (2) Kiyoshige Garcés, Junyu Xuan, Hua Zuo
2022	J	`jnl`	Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes. CoRR Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
2022	A*	`conf`	Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. AAAI Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
2022	J	`jnl`	Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. CoRR Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
2021	J	`jnl`	A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion. IEEE Trans. Fuzzy Syst. Qian Liu, Heyan Huang, Junyu Xuan, Guangquan Zhang, Yang Gao, Jie Lu
2021	J	`jnl`	Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining. ACM Trans. Intell. Syst. Technol. Junyu Xuan, Jie Lu, Guangquan Zhang
2021	J	`jnl`	Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning. CoRR Junyu Xuan, Jie Lu, Guangquan Zhang
2021	J	`jnl`	Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time. CoRR Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang
2021	J	`jnl`	Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model. CoRR Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain
2021	Misc	`conf`	Negative Samples-enhanced Graph Convolutional Neural Networks. ISKE Wei Duan, Junyu Xuan, Jie Lu
2021	J	`jnl`	Open Set Domain Adaptation: Theoretical Bound and Algorithm. IEEE Trans. Neural Networks Learn. Syst. Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang
2021	J	`jnl`	Special issue on intelligent computing methodologies in machine learning for IoT applications. Neural Comput. Appl. Jinghua Zhao, Junyu Xuan
2020	J	`jnl`	A Causal Dirichlet Mixture Model for Causal Inference from Observational Data. ACM Trans. Intell. Syst. Technol. Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang
2020	A*	`conf`	Path Integral Based Convolution and Pooling for Graph Neural Networks. NeurIPS Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Liò
2020	J	`jnl`	Path Integral Based Convolution and Pooling for Graph Neural Networks. CoRR Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Lió
2020	J	`jnl`	Web event evolution trend prediction based on its computational social context. World Wide Web Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang
2019	J	`jnl`	A Survey on Bayesian Nonparametric Learning. ACM Comput. Surv. Junyu Xuan, Jie Lu, Guangquan Zhang
2019	J	`jnl`	Cooperative hierarchical Dirichlet processes: Superposition vs. maximization. Artif. Intell. Junyu Xuan, Jie Lu, Guangquan Zhang
2019	A*	`conf`	One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data. ICDM Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang
2019	J	`jnl`	Open Set Domain Adaptation: Theoretical Bound and Algorithm. CoRR Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang
2018	J	`jnl`	Bayesian Deep Reinforcement Learning via Deep Kernel Learning. Int. J. Comput. Intell. Syst. Junyu Xuan, Jie Lu, Zheng Yan, Guangquan Zhang
2018	J	`jnl`	Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes. IEEE Trans. Neural Networks Learn. Syst. Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2018	A*	`conf`	Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. AAAI Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu
2018	J	`jnl`	Structural property-aware multilayer network embedding for latent factor analysis. Pattern Recognit. Jie Lu, Junyu Xuan, Guangquan Zhang, Xiangfeng Luo
2017	J	`jnl`	A Bayesian nonparametric model for multi-label learning. Mach. Learn. Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2017	J	`jnl`	Association Link Network Based Semantic Coherence Measurement for Short Texts of Web Events. J. Web Eng. Weidong Liu, Xiangfeng Luo, Junyu Xuan, Dandan Jiang, Zheng Xu
2017	J	`jnl`	Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes. IEEE Trans. Knowl. Data Eng. Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2017	J	`jnl`	Building spatial temporal relation graph of concepts pair using web repository. Inf. Syst. Frontiers Zheng Xu, Junyu Xuan, Yunhuai Liu, Kim-Kwang Raymond Choo, Lin Mei, Chuanping Hu
2017	J	`jnl`	Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization. CoRR Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu
2017	J	`jnl`	Crowdsourcing based social media data analysis of urban emergency events. Multim. Tools Appl. Zheng Xu, Yunhuai Liu, Junyu Xuan, Haiyan Chen, Lin Mei
2017	J	`jnl`	Crowdsourcing-based timeline description of urban emergency events using social media. Int. J. Ad Hoc Ubiquitous Comput. Zheng Xu, Hui Zhang, Chuanping Hu, Yunhuai Liu, Junyu Xuan, Lin Mei
2017	J	`jnl`	Discover Semantic Topics in Patents within a Specific Domain. J. Web Eng. Wen Ma, Xiangfeng Luo, Junyu Xuan, Ruirong Xue
2017	J	`jnl`	Explicitly and implicitly exploiting the hierarchical structure for mining website interests on news events. Inf. Sci. Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang
2017	J	`jnl`	Sentiment Computing for the News Event Based on the Social Media Big Data. IEEE Access Dandan Jiang, Xiangfeng Luo, Junyu Xuan, Zheng Xu
2016	—	`—`	Bayesian nonparametric learning for complicated text mining Junyu Xuan
2016	J	`jnl`	Building knowledge base of urban emergency events based on crowdsourcing of social media. Concurr. Comput. Pract. Exp. Zheng Xu, Hui Zhang, Chuanping Hu, Lin Mei, Junyu Xuan, Kim-Kwang Raymond Choo, Vijayan Sugumaran, Yiwei Zhu
2016	J	`jnl`	Cognitive memory-inspired sentence ordering model. Knowl. Based Syst. Weidong Liu, Xiangfeng Luo, Junyu Xuan, Zheng Xu, Dandan Jiang
2016	J	`jnl`	Discovering the core semantics of event from social media. Future Gener. Comput. Syst. Weidong Liu, Xiangfeng Luo, Zhiguo Gong, Junyu Xuan, Ngai Meng Kou, Zheng Xu
2016	J	`jnl`	Measuring the Semantic Uncertainty of News Events for Evolution Potential Estimation. ACM Trans. Inf. Syst. Xiangfeng Luo, Junyu Xuan, Jie Lu, Guangquan Zhang
2016	J	`jnl`	Uncertainty Analysis for the Keyword System of Web Events. IEEE Trans. Syst. Man Cybern. Syst. Junyu Xuan, Xiangfeng Luo, Guangquan Zhang, Jie Lu, Zheng Xu
2015	J	`jnl`	Bayesian Based Type Discrimination of Web Events. J. Web Eng. Qichen Ma, Xiangfeng Luo, Junyu Xuan, Huimin Liu
2015	A*	`conf`	Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process. ICDM Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2015	J	`jnl`	Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process. CoRR Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2015	J	`jnl`	Nonnegative Multi-level Network Factorization for Latent Factor Analysis. CoRR Junyu Xuan, Jie Lu, Xiangfeng Luo, Guangquan Zhang
2015	J	`jnl`	Nonparametric Relational Topic Models through Dependent Gamma Processes. CoRR Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2015	J	`jnl`	Online hot event discovery based on Association Link Network. Concurr. Comput. Pract. Exp. Yang Liu, Xiangfeng Luo, Junyu Xuan
2015	—	`conf`	Temporal Learning of Semantic Relations between Concepts Using Web Repository. SKG Zheng Xu, Junyu Xuan
2015	J	`jnl`	Topic Model for Graph Mining. IEEE Trans. Cybern. Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo
2014	—	`conf`	Cognition-Based Semantic Annotation for Web Images. BDCloud Jinbiao Jing, Xiangfeng Luo, Junyu Xuan, Weidong Liu
2014	J	`jnl`	Discovering small-world in association link networks for association learning. World Wide Web Shunxiang Zhang, Xiangfeng Luo, Junyu Xuan, Xue Chen, Weimin Xu
2014	B	`conf`	Extension of similarity measures in VSM: From orthogonal coordinate system to affine coordinate system. IJCNN Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo
2014	J	`jnl`	Web Event State Prediction Model: Combining Prior Knowledge with Real Time Data. J. Web Eng. Xiangfeng Luo, Junyu Xuan, Huimin Liu
2014	J	`jnl`	Website Interaction Network. J. Organ. Comput. Electron. Commer. Xiangfeng Luo, Huimin Liu, Junyu Xuan
2013	—	`conf`	Mining Websites Preferences on Web Events in Big Data Environment. CSE Junyu Xuan, Xiangfeng Luo, Jie Lu
2011	C	`conf`	Building Hierarchical Keyword Level Association Link Networks for Web Events Semantic Analysis. DASC Junyu Xuan, Xiangfeng Luo, Shunxiang Zhang, Zheng Xu, Huimin Liu, Feiyue Ye