Junyan Liu - RankMe

53 papers A* 5B 1C 2Misc 2Journal 34Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation. CoRR Junyan Liu, Haipeng Luo, Zihan Zhang, Lillian J. Ratliff
2026	J	`jnl`	Revisiting the Bertrand Paradox via Equilibrium Analysis of No-regret Learners. CoRR Arnab Maiti, Junyan Liu, Kevin Jamieson, Lillian J. Ratliff
2025	C	`conf`	Continuous and Discrete Zhang Neuro PID (i.e. Zhang Neurodynamics PID [Proportional, Integral and Derivative]) Controller Plus PD One for Ship Course Tracking. ISNN Yunong Zhang, Xinshen Fu, Junyan Liu
2025	J	`jnl`	Enhancing effective connection with link prediction for session-based recommendation. Neurocomputing Hui Wang, Junjie You, Jianbing Yi, Junyan Liu, Runjie Huang
2025	J	`jnl`	Generation and Assessment of Digital Elevation Models by Combining Sentinel-1A and Sentinel-1B Data in Mountain Glacier Area. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Lili Yan, Hongxing Li, Xiaohua Hao, Jian Wang, Zhenliang Yin, Junyan Liu
2025	J	`jnl`	Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality. CoRR Junyan Liu, Ziyun Chen, Kun Wang, Haipeng Luo, Lillian J. Ratliff
2025	J	`jnl`	Investigation on the Detection of Crack Defects in Metals Using Chirp Ultrasonic-Induced Infrared Thermography. IEEE Trans. Instrum. Meas. Rongcheng Li, Fei Wang, Feng Yang, Lixia Xu, Stefano Sfarra, Lixia Liu, Mingjun Chen, Honghao Yue, Junyan Liu
2025	A*	`conf`	Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals. ICML Junyan Liu, Arnab Maiti, Artin Tajdini, Kevin Jamieson, Lillian J. Ratliff
2025	J	`jnl`	Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals. CoRR Junyan Liu, Arnab Maiti, Artin Tajdini, Kevin Jamieson, Lillian J. Ratliff
2025	J	`jnl`	Mixed graph neural network for session-based recommendation with category-aware noise filtering. Knowl. Inf. Syst. Hui Wang, Junjie You, Jianbing Yi, Junyan Liu, Runjie Huang
2025	J	`jnl`	N2N: A Parallel Framework for Large-Scale MILP under Distributed Memory. CoRR Longfei Wang, Junyan Liu, Fan Zhang, Jiangwen Wei, Yuanhua Tang, Jie Sun, Xiaodong Luo
2025	A*	`conf`	Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents. ICML Junyan Liu, Lillian J. Ratliff
2025	J	`jnl`	Revealing Neurocognitive and Behavioral Patterns by Unsupervised Manifold Learning from Dynamic Brain Data. CoRR Zixia Zhou, Junyan Liu, Wei Emma Wu, Ruogu Fang, Sheng Liu, Qingyue Wei, Rui Yan, Yi Guo, Qian Tao, Yuanyuan Wang, Md Tauhidul Islam, Lei Xing
2025	J	`jnl`	Revealing neurocognitive and behavioral patterns through unsupervised manifold learning of dynamic brain data. Nat. Comput. Sci. Zixia Zhou, Junyan Liu, Wei Emma Wu, Ruogu Fang, Sheng Liu, Qingyue Wei, Rui Yan, Yi Guo, Qian Tao, Yuanyuan Wang, Md Tauhidul Islam, Lei Xing
2025	J	`jnl`	ST-NeRP: Spatial-temporal neural representation learning with prior embedding for patient-specific imaging study. Comput. Biol. Medicine Liang Qiu, Liyue Shen, Lianli Liu, Junyan Liu, Yizheng Chen, Lei Xing
2024	J	`jnl`	Achieving Near-Optimal Regret for Bandit Algorithms with Uniform Last-Iterate Guarantee. CoRR Junyan Liu, Yunfan Li, Lin Yang
2024	J	`jnl`	Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents. CoRR Junyan Liu, Lillian J. Ratliff
2024	J	`jnl`	ST-NeRP: Spatial-Temporal Neural Representation Learning with Prior Embedding for Patient-specific Imaging Study. CoRR Liang Qiu, Liyue Shen, Lianli Liu, Junyan Liu, Yizheng Chen, Lei Xing
2024	C	`conf`	Survivable Traffic Grooming with Practical Constraints in Large-Scale Optical Network. INOC Jianwei Niu, Junyan Liu, Fan Zhang, Fabo Sun, Kerong Yan, Junqi Ma
2024	—	`conf`	Tri-modal control of FSBB with through-mode. ICACS Xu Zhang, Xiaoqing Han, Baifu Zhang, Tao Tao, Wentao Xu, Junyan Liu
2024	A*	`conf`	Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning. NeurIPS Junyan Liu, Yunfan Li, Ruosong Wang, Lin Yang
2023	A*	`conf`	Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms. NeurIPS Tiancheng Jin, Junyan Liu, Haipeng Luo
2023	J	`jnl`	Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms. CoRR Tiancheng Jin, Junyan Liu, Haipeng Luo
2023	A*	`conf`	No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions. NeurIPS Tiancheng Jin, Junyan Liu, Chloé Rouyer, William Chang, Chen-Yu Wei, Haipeng Luo
2023	J	`jnl`	No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions. CoRR Tiancheng Jin, Junyan Liu, Chloé Rouyer, William Chang, Chen-Yu Wei, Haipeng Luo
2023	J	`jnl`	Robust Discriminant Subspace Clustering With Adaptive Local Structure Embedding. IEEE Trans. Neural Networks Learn. Syst. Junyan Liu, Dapeng Li, Haitao Zhao, Lin Gao
2022	—	`conf`	An ILP-based Approach for Dual-Layer Optimization in Large-Scale Optical Networks. WOCC Junyan Liu, Fan Zhang, Kerong Yan, Junqi Ma, Bo Bai
2022	J	`jnl`	Application of C1DAE-ANIL in End-to-End Communication of IRS-Assisted UAV System. IEEE Access Mingzhu Wu, Feibo Jiang, Junyan Liu, Yubo Peng
2022	J	`jnl`	Simulations and Experimental Study of Individual Au Nanoparticle Using Photothermal Heterodyne Imaging (PHI). IEEE Trans. Instrum. Meas. Yonghui Wang, Fei Wang, Junyan Liu, Mingjun Chen, Yang Wang
2022	—	`conf`	The Pre-ordering Model for Statistical Machine Translation of Enhancing the N-best Syntactic Knowledge. EITCE Junyan Liu
2022	J	`jnl`	The Study of Inspection on Thin Film Resistance Strain Gauge Contact Failure by Electrical Excitation Thermal-Wave Imaging. IEEE Trans. Ind. Electron. Peng Song, Junyan Liu, Fei Wang, Xiaogang Sun
2021	J	`jnl`	A Novel Deep Convolutional Neural Network Based on ResNet-18 and Transfer Learning for Detection of Wood Knot Defects. J. Sensors Mingyu Gao, Peng Song, Fei Wang, Junyan Liu, Andreas Mandelis, Dawei Qi
2021	J	`jnl`	BLNN: Multiscale Feature Fusion-Based Bilinear Fine-Grained Convolutional Neural Network for Image Classification of Wood Knot Defects. J. Sensors Mingyu Gao, Fei Wang, Peng Song, Junyan Liu, Dawei Qi
2021	J	`jnl`	Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions. CoRR Junyan Liu, Shuai Li, Dapeng Li
2021	J	`jnl`	Optimization of Thermal-Wave Radar Thermography by Transverse Heat Flow Suppression Technique for Accurate Defect Detection of CFRP Laminates. IEEE Trans. Instrum. Meas. Fei Wang, Junyan Liu, Boyuan Dong, Guobin Liu, Mingjun Chen, Yang Wang
2021	Misc	`conf`	Parameter Estimation for Student's t VAR Model with Missing Data. ICASSP Rui Zhou, Junyan Liu, Sandeep Kumar, Daniel P. Palomar
2021	J	`jnl`	Quantification of Proton Radiation Damage in Polyimide Aerogel by Cantilever-Enhanced Photoacoustic Spectroscopy. IEEE Trans. Instrum. Meas. Yang Liu, Fei Wang, Junyan Liu
2021	J	`jnl`	Reliability Assessment for Time-Slice Enhanced Bidirectional Thermal Wave Radar Thermography of Hybrid C/GFRP Defects. IEEE Trans. Ind. Informatics Jinlong Gong, Junyan Liu
2021	B	`conf`	Stochastic Euler Heavy Ball Method. ICTAI Zhou Shao, Junyan Liu, Tong Lin
2020	J	`jnl`	Collaborative Online Edge Caching With Bayesian Clustering in Wireless Networks. IEEE Internet Things J. Junyan Liu, Dapeng Li, Youyun Xu
2020	J	`jnl`	Student's $t$ VAR Modeling With Missing Data Via Stochastic EM and Gibbs Sampling. IEEE Trans. Signal Process. Rui Zhou, Junyan Liu, Sandeep Kumar, Daniel P. Palomar
2020	J	`jnl`	The Feature Recognition of CFRP Subsurface Defects Using Low-Energy Chirp-Pulsed Radar Thermography. IEEE Trans. Ind. Informatics Fei Wang, Yonghui Wang, Junyan Liu, Yang Wang
2019	J	`jnl`	A building label placement method for 3D visualizations based on candidate label evaluation and selection. Int. J. Geogr. Inf. Sci. Jiangfeng She, Xinchi Li, Junyan Liu, Yaqian Chen, Junzhong Tan, Guoping Wu
2019	J	`jnl`	Kernel-based MinMax clustering methods with kernelization of the metric and auto-tuning hyper-parameters. Neurocomputing Junyan Liu, Yongan Guo, Dapeng Li, Zefeng Wang, Youyun Xu
2019	J	`jnl`	Parameter Estimation of Heavy-Tailed AR Model With Missing Data Via Stochastic EM. IEEE Trans. Signal Process. Junyan Liu, Sandeep Kumar, Daniel P. Palomar
2019	—	`conf`	Parameter Estimation of Heavy-Tailed AR(p) Model from Incomplete Data. EUSIPCO Junyan Liu, Sandeep Kumar, Daniel P. Palomar
2019	J	`jnl`	Regularized robust estimation of mean and covariance matrix for incomplete data. Signal Process. Junyan Liu, Daniel P. Palomar
2019	—	`conf`	Robust Factor Analysis Parameter Estimation. EUROCAST (2) Rui Zhou, Junyan Liu, Sandeep Kumar, Daniel P. Palomar
2018	Misc	`conf`	Parameter Estimation of Heavy-Tailed Random Walk Model from Incomplete Data. ICASSP Junyan Liu, Sandeep Kumar, Daniel P. Palomar
2017	—	`conf`	Robust estimation of mean and covariance matrix for incomplete data in financial applications. GlobalSIP Junyan Liu, Daniel P. Palomar
2013	—	`conf`	Ant-based alternate routing algorithm in flexible bandwidth optical networks. OFC/NFOEC Junyan Liu, Jie Zhang, Yongli Zhao, Xiaosong Yu, Xuefeng Lin
2013	—	`conf`	Applying background learning algorithms to radio tomographic imaging. WPMC Aidong Men, Jianfei Xue, Junyan Liu, Tianming Xu, Yi Zheng
2011	—	`conf`	Multicriteria Group Decision Making in a Linguistic Environment. AICI (1) Chunqiao Tan, Hepu Deng, Junyan Liu