Jun Jin

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 46

Top Topics

Quantile Regression

Reinforcement Learning

Top Venues

IEEE Trans. Engineering Management

Publications

Jun Jin, Dasha Hu, Wei Pu, Yining Luo, Xinyue Feng
Few-shot learning with task adaptation for multi-category gastrointestinal endoscopy classification. Biomed. Signal Process. Control. 95 (2024)
Jun Jin, Jun Yan, Robert H. Aseltine, Kun Chen
Transfer Learning with Large-Scale Quantile Regression. Technometrics 66 (3) (2024)
Qianxi Li, Yingyue Cao, Jikun Kang, Tianpei Yang, Xi Chen, Jun Jin, Matthew E. Taylor
LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models. CoRR (2024)
Xiaochen Zou, Jun Jin, Matti Mottus
Potential of Satellite Spectral Resolution Vegetation Indices for Estimation of Canopy Chlorophyll Content of Field Crops: Mitigating Effects of Leaf Angle Distribution. Remote. Sens. 15 (5) (2023)
Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought. NeurIPS (2023)
Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought. CoRR (2023)
Zhengtong Huo, Ziyin Li, Ruide Qu, Xiaodong Wang, Fei Ye, Jun Jin, Xiaojuan Yao
Fiber Recognition Algorithm Based on Improved Mask RCNN. PRIS (2023)
Jun Jin, Min Guo, Zhengyi Zhang
Selective Adoption of Open Innovation for New Product Development in High-Tech SMEs in Emerging Economies. IEEE Trans. Engineering Management 69 (2) (2022)
Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard S. Sutton, Jun Luo, Adam White
Auxiliary task discovery through generate-and-test. CoRR (2022)
Laura Petrich, Jun Jin, Masood Dehghan, Martin Jägersand
A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics. ICRA (2022)
Jun Jin, Martin Jägersand
Generalizable task representation learning from human demonstration videos: a geometric approach. CoRR (2022)
Hongyun Yue, Liu Tong, Jun Jin, Haiyang Chen, Jun Zhang, Jingyu Li, Feng Cai, Yiling Zhao, Changwei An
Design of plant intelligent lighting control system based on LED light source. ICCSIE (2022)
Banafsheh Rafiee, Jun Jin, Jun Luo, Adam White
What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy. CoRR (2022)
Jun Jin, Martin Jägersand
Generalizable task representation learning from human demonstration videos: a geometric approach. ICRA (2022)
Jun Jin, Daniel Graves, Cameron Haigh, Jun Luo, Martin Jägersand
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning. ICRA (2022)
Laura Petrich, Jun Jin, Masood Dehghan, Martin Jägersand
A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics. CoRR (2021)
Laura Petrich, Jun Jin, Masood Dehghan, Martin Jägersand
Assistive arm and hand manipulation: How does current research intersect with actual healthcare needs? CoRR (2021)
Bowen Xie, Mingjie Han, Jun Jin, Martin Barczyk, Martin Jägersand
A Generative Model-Based Predictive Display for Robotic Teleoperation. ICRA (2021)
Jun Jin, Tiefeng Ma, Jiajia Dai, Shuangzhe Liu
Penalized weighted composite quantile regression for partially linear varying coefficient models with missing covariates. Comput. Stat. 36 (1) (2021)
Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh, Jun Jin, Jun Luo
Learning robust driving policies without online exploration. ICRA (2021)
Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh, Jun Jin, Jun Luo
Learning robust driving policies without online exploration. CoRR (2021)
Jun Jin, Laura Petrich, Masood Dehghan, Martin Jägersand
A Geometric Perspective on Visual Imitation Learning. IROS (2020)
Jun Jin, Laura Petrich, Zichen Vincent Zhang, Masood Dehghan, Martin Jägersand
Visual Geometric Skill Inference by Watching Human Demonstration. ICRA (2020)
Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh, Jun Jin
Learning predictive representations in autonomous driving to improve deep reinforcement learning. CoRR (2020)
Jun Jin, Biao Yang, Xianghong Hu, Binhua Yao, Jin Xie, Wenjie Zhang, Dan Zhou
Modeling and Simulation of Energy Hub Considering Solid Oxide Fuel Cell and Power to Gas. IECON (2020)
Jun Jin, Laura Petrich, Masood Dehghan, Martin Jägersand
A Geometric Perspective on Visual Imitation Learning. CoRR (2020)
Tianyu Gao, Jun Jin, Xiao Hao
A Single-ball-driven Self-Balancing Robot Controller Based on Genetic Algorithm Optimization. AIAM (2020)
Jun Jin, Daniel Graves, Cameron Haigh, Jun Luo, Martin Jägersand
Offline Learning of Counterfactual Perception as Prediction for Real-World Robotic Reinforcement Learning. CoRR (2020)
Jun Jin, Dehong Gao, Xin Mo, Si-ping Tan, Zhen-xia Kou, Yi-bo Chen, Jin-bo Cao, Wen-Jing Chen, Ya-ming Zhang, Bingqing Liu, Kuan-long Huang, Bing-ren Xu, Xiao-li Tang, Yu-li Wang
Analysis of 4 imaging features in patients with COVID-19. BMC Medical Imaging 20 (1) (2020)
Jun Jin, Nhat M. Nguyen, Nazmus Sakib, Daniel Graves, Hengshuai Yao, Martin Jägersand
Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans. ICRA (2020)
Daniel Graves, Jun Jin, Jun Luo
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning. CoRR (2020)
Liying Wang, Yan Wang, Yuan Lou, Jun Jin
Impact of different patent cooperation network models on innovation performance of technology-based SMEs. Technol. Anal. Strateg. Manag. 32 (6) (2020)
Jun Jin, Laura Petrich, Shida He, Masood Dehghan, Martin Jägersand
Long range teleoperation for fine manipulation tasks under time-delay network conditions. CoRR (2019)
Masood Dehghan, Zichen Vincent Zhang, Mennatullah Siam, Jun Jin, Laura Petrich, Martin Jägersand
Online Object and Task Learning via Human Robot Interaction. ICRA (2019)
Yi Ding, Jun Jin, Jinglun Zhang, Zhongyi Wu, Kai Hu
SC-RBAC: A Smart Contract based RBAC Model for DApps. HCC (2019)
Jun Jin, Nhat M. Nguyen, Nazmus Sakib, Daniel Graves, Hengshuai Yao, Martin Jägersand
Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans. CoRR (2019)
Jun Jin, Laura Petrich, Zichen Vincent Zhang, Masood Dehghan, Martin Jägersand
Visual Geometric Skill Inference by Watching Human Demonstration. CoRR (2019)
Jun Jin, Chao Ying, Zhou Yu
Distributed estimation of principal support vector machines for sufficient dimension reduction. CoRR (2019)
Jun Jin, Masood Dehghan, Laura Petrich, Steven Weikai Lu, Martin Jägersand
Evaluation of state representation methods in robot hand-eye coordination learning from demonstration. CoRR (2019)
Jun Jin, Laura Petrich, Masood Dehghan, Zichen Vincent Zhang, Martin Jägersand
Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach. ICRA (2019)
Masood Dehghan, Zichen Vincent Zhang, Mennatullah Siam, Jun Jin, Laura Petrich, Martin Jägersand
Online Tool and Task learning via Human Robot Interaction. CoRR (2018)
Wenquan Cao, Qianqian Wang, Jun Jin, Hongjun Li
Magneto-Electric Dipole Antenna (MEDA)-Fed Fabry-Perot Resonator Antenna (FPRA) With Broad Gain Bandwidth in Ku Band. IEEE Access 6 (2018)
Zhiyuan Zeng, Wenquan Cao, Xinmeng Lv, Jun Jin
Multi-band multi-mode end-fire antenna based on mirroring and scaling method. IEICE Electron. Express 15 (17) (2018)
Jun Jin, Laura Petrich, Masood Dehghan, Zichen Vincent Zhang, Martin Jägersand
Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach. CoRR (2018)
Xuebin Qin, Shida He, Zichen Vincent Zhang, Masood Dehghan, Jun Jin, Martin Jägersand
Real-Time Edge Template Tracking via Homography Estimation. IROS (2018)
Haoyuan Sun, Jian Sun, Jie Chen, Jun Jin
Observer-based output feedback control of sampled-data system under stochastic sampling. ICAC (2016)
Alice Wacker, Marlen Jurisch, Jun Jin, Petra Wolf, Helmut Krcmar
Identifying Main User Groups for Green IS - An Empirical Study of Electric Vehicles in China. ICIS (2014)
Jun Jin, Yuandi Wang, Wim Vanhaverbeke
Patterns of R&D internationalisation in developing countries: China as a case. Int. J. Technol. Manag. 64 (2/3/4) (2014)
Guangjie Xu, Huali Wang, Weijun Zeng, Qingguo Wang, Jun Jin
Compressed sampling using structurally mixed cyclic measurement matrices. WCSP (2014)
Jun Jin, Jingjing Hu, Yuanda Cao, Jingxia Wang
Behavioral Compatibility Analysis for Context-independent Service Substitution. ChinaGrid (2012)
Fang Huang, Zhenya Shen, Jun Wang, Michun He, Xiaomei Teng, Jun Jin
Experimental study of enhanced therapeutic effect of combining mesenchymal stem cell transplantation with erythropoietin in a myocardial infarction model. BMEI (2011)
Jun Jin, Yuanda Cao, Dongfeng Zhu, Xing Pu, Minghua Yang
A Structure-Wise Service Selection Approach for Efficient Service Composition. ICEBE (2010)
Jun Jin, Yu Zhang, Yuanda Cao, Xing Pu, Jiaxin Li
ServiceStore: A Peer-to-Peer Framework for QoS-Aware Service Composition. NPC (2010)