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Ruohan Wang
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2020 – today
- 2024
- [j10]Yingying Zhang, Ruohan Wang, Yanan Cai:
Relaxation Oscillation in SEIR Epidemic Models with the Intrinsic Growth Rate. Complex. 2024 (2024) - [j9]Ruohan Wang, John Isak Texas Falk, Massimiliano Pontil, Carlo Ciliberto:
Robust Meta-Representation Learning via Global Label Inference and Classification. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 1996-2010 (2024) - [j8]Ruohan Wang, Chen Li, Honghao Lv, Gaoyang Pang, Haiteng Wu, Geng Yang:
A Smooth Velocity Transition Framework Based on Hierarchical Proximity Sensing for Safe Human-Robot Interaction. IEEE Robotics Autom. Lett. 9(6): 4910-4917 (2024) - [c22]Ruohan Wang, Zilong Wang, Ziyang Song, David Buckeridge, Yue Li:
MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling. BCB 2024: 53:1-53:8 - [c21]Ruohan Wang, Fangping Chen, Changyu Guan, Cong Xue, Xiang Ji, Wang Li:
Learning from Multiple Noisy Annotations via Trustable Data Mixture. ICIC (LNAI 2) 2024: 428-437 - [c20]Mengke Wang, Honghao Lv, Ruohan Wang, Haiteng Wu, Lipeng Chen, Yi Chen, Haihui Yuan, Geng Yang:
Enhancing Robot Teleoperation in Remote Automation Production through an Event-Triggered Control Strategy. ISIE 2024: 1-6 - [c19]Lei Wang, Ruohan Wang, Honghao Lv, Na Dong, Zhongwei Zhang, Yungang Hao, Haihui Yuan, Haiteng Wu, Geng Yang:
Liberating Humanity from Heavy Labor: Dual-Arm Coordination and Teleoperation Control for an Assistive Robot. ISIE 2024: 1-6 - [c18]Ruohan Wang, Aidong Lu:
Exploring Trustful AI Augmentation with Virtual Evacuation Study. VR Workshops 2024: 789-790 - [i13]B. C. van Huijgevoort, Ruohan Wang, Sadegh Soudjani, Sofie Haesaert:
Specification-guided temporal logic control for stochastic systems: a multi-layered approach. CoRR abs/2407.03896 (2024) - [i12]Boyu Gou, Ruohan Wang, Boyuan Zheng, Yanan Xie, Cheng Chang, Yiheng Shu, Huan Sun, Yu Su:
Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents. CoRR abs/2410.05243 (2024) - [i11]Ruohan Wang, Zilong Wang, Ziyang Song, David Buckeridge, Yue Li:
MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling. CoRR abs/2410.13217 (2024) - 2023
- [j7]Ruohan Wang, Yunlong Chen, Entang Li, Lixuan Che, Hongwei Xin, Jing Li, Xueyao Zhang:
Joint optimization of energy trading and consensus mechanism in blockchain-empowered smart grids: a reinforcement learning approach. J. Cloud Comput. 12(1): 121 (2023) - [c17]Ruohan Wang, Yu Li:
Based on Improved YOLOv7 Small Target Detection. CAIBDA 2023: 346-352 - [c16]Ruohan Wang:
An Artificial Intelligence-Based Approach to Brain Tumor Prediction. ICAICE 2023: 1023-1028 - [c15]Honghao Lv, Huiying Zhou, Ruohan Wang, Haiteng Wu, Zhibo Pang, Geng Yang:
Towards Intercontinental Teleoperation: A Cloud-Based Framework for Ultra-Remote Human-Robot Dual-Arm Motion Mapping. ICIRA (7) 2023: 132-144 - [c14]Ruohan Wang, Xi Cui, Honghao Lv, Guangyao Zhang, Haiteng Wu, Geng Yang:
Enable Intuitive and Immersive Teleoperation: Design, Modeling and Control of a Novel Wearable Exoskeleton. ICIRA (2) 2023: 195-205 - [c13]Longqiang Wang, Ruohan Wang, Haiteng Wu, Geng Yang:
Keeping Workers Safe in Electric Working: A Robot System for High-Voltage Live Operation *. ICIT 2023: 1-5 - [i10]Ruohan Wang, Zhiyong Sun:
Modelling and Kron reduction of power flow networks in directed graphs. CoRR abs/2302.08896 (2023) - [i9]Ben Zandonati, Ruohan Wang, Ruihan Gao, Yan Wu:
Investigating Vision Foundational Models for Tactile Representation Learning. CoRR abs/2305.00596 (2023) - 2022
- [j6]Ruohan Wang, Xiang-Li-Lan Zhang, Jianping Wang, Shuai Cheng Li:
DeepHost: phage host prediction with convolutional neural network. Briefings Bioinform. 23(1) (2022) - [j5]Ruohan Wang, Yuwei Zhang, Mengbo Wang, Xikang Feng, Jianping Wang, Shuai Cheng Li:
Resolving single-cell copy number profiling for large datasets. Briefings Bioinform. 23(4) (2022) - [j4]Ruohan Wang, Yunlong Chen, Entang Li, Hongwei Xing, Jianhui Zhang, Jing Li:
Short-Term Power Demand Forecasting Using Blockchain-Based Neural Networks Models. J. Comput. Inf. Technol. 30(3): 175-192 (2022) - [j3]Wenping Li, Wei Wang, Xing Gao, Xuecheng Wang, Ruohan Wang:
Inventory and Spatiotemporal Patterns of Glacial Lakes in the HKH-TMHA Region from 1990 to 2020. Remote. Sens. 14(6): 1351 (2022) - [j2]Pierluigi Vito Amadori, Tobias Fischer, Ruohan Wang, Yiannis Demiris:
Predicting Secondary Task Performance: A Directly Actionable Metric for Cognitive Overload Detection. IEEE Trans. Cogn. Dev. Syst. 14(4): 1474-1485 (2022) - [c12]Ruohan Wang, Xiangyu Shi:
Assessing the Impact of the Covid-19 on the US Airline Market Using an Instrumental Variable and a DID Empirical Strategy. ICIBE 2022: 380-389 - [c11]Tianci Wang, Yantong Lai, Gaode Chen, Ruohan Wang, Jiahui Shen, Ji Xiang:
A Dynamic-aware Heterogeneous Graph Neural Network for Next POI Recommendation. PRICAI (1) 2022: 313-326 - [i8]Ruohan Wang, Marco Ciccone, Giulia Luise, Andrew Yapp, Massimiliano Pontil, Carlo Ciliberto:
Schedule-Robust Online Continual Learning. CoRR abs/2210.05561 (2022) - [i7]Ruohan Wang, John Isak Texas Falk, Massimiliano Pontil, Carlo Ciliberto:
Robust Meta-Representation Learning via Global Label Inference and Classification. CoRR abs/2212.11702 (2022) - 2021
- [b1]Ruohan Wang:
Towards human-centered artificial intelligence : learning from demonstration and meta-learning for model adaptation. Imperial College London, UK, 2021 - [c10]Yuhang He, Sheng Xiang, Wenjun Zhou, Bo Peng, Ruohan Wang, Linman Li:
A Novel Contrast Operator for Robust Object Searching. CIS 2021: 309-313 - [c9]Ruohan Wang, Massimiliano Pontil, Carlo Ciliberto:
The Role of Global Labels in Few-Shot Classification and How to Infer Them. NeurIPS 2021: 27160-27170 - [i6]Ruohan Wang, Massimiliano Pontil, Carlo Ciliberto:
The Role of Global Labels in Few-Shot Classification and How to Infer Them. CoRR abs/2108.04055 (2021) - 2020
- [c8]Pierluigi Vito Amadori, Tobias Fischer, Ruohan Wang, Yiannis Demiris:
Decision Anticipation for Driving Assistance Systems. ITSC 2020: 1-7 - [c7]Ruohan Wang, Yiannis Demiris, Carlo Ciliberto:
Structured Prediction for Conditional Meta-Learning. NeurIPS 2020 - [i5]Ruohan Wang, Yiannis Demiris, Carlo Ciliberto:
A Structured Prediction Approach for Conditional Meta-Learning. CoRR abs/2002.08799 (2020) - [i4]Ruohan Wang, Carlo Ciliberto, Pierluigi Vito Amadori, Yiannis Demiris:
Support-weighted Adversarial Imitation Learning. CoRR abs/2002.08803 (2020)
2010 – 2019
- 2019
- [j1]Ruohan Wang, Zishuai Wang, Jianping Wang, Shuaicheng Li:
SpliceFinder: ab initio prediction of splice sites using convolutional neural network. BMC Bioinform. 20-S(23): 652 (2019) - [c6]Ruohan Wang, Carlo Ciliberto, Pierluigi Vito Amadori, Yiannis Demiris:
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation. ICML 2019: 6536-6544 - [i3]Ruohan Wang, Carlo Ciliberto, Pierluigi Vito Amadori, Yiannis Demiris:
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation. CoRR abs/1905.06750 (2019) - 2018
- [c5]Yan Wu, Ruohan Wang, Luis F. D'Haro, Rafael E. Banchs, Keng Peng Tee:
Multi-Modal Robot Apprenticeship: Imitation Learning Using Linearly Decayed DMP+ in a Human-Robot Dialogue System. IROS 2018: 1-7 - [c4]Ruohan Wang, Pierluigi Vito Amadori, Yiannis Demiris:
Real-Time Workload Classification during Driving using HyperNetworks. IROS 2018: 3060-3065 - [i2]Ruohan Wang, Pierluigi Vito Amadori, Yiannis Demiris:
Real-Time Workload Classification during Driving using HyperNetworks. CoRR abs/1810.03145 (2018) - 2017
- [c3]Yan Wu, Ruohan Wang, Yong Ling Tay, Clarice Jiaying Wong:
Investigation on the roles of human and robot in collaborative storytelling. APSIPA 2017: 63-68 - [i1]Ruohan Wang, Antoine Cully, Hyung Jin Chang, Yiannis Demiris:
MAGAN: Margin Adaptation for Generative Adversarial Networks. CoRR abs/1704.03817 (2017) - 2016
- [c2]Clarice Jiaying Wong, Yong Ling Tay, Ruohan Wang, Yan Wu:
Human-Robot Partnership: A Study on Collaborative Storytelling. HRI 2016: 535-536 - [c1]Ruohan Wang, Yan Wu, Wei Liang Chan, Keng Peng Tee:
Dynamic Movement Primitives Plus: For enhanced reproduction quality and efficient trajectory modification using truncated kernels and Local Biases. IROS 2016: 3765-3771
Coauthor Index
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last updated on 2024-12-18 18:28 CET by the dblp team
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