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Yuan Yao 0007
Person information
- unicode name: 姚远
- affiliation: University of Nottingham Ningbo China, School of Computer Science, Ningbo, China
- affiliation: Zhejiang University of Technology, Hangzhou, China
- affiliation (PhD 2017): University of Nottingham, School of Computer Science, UK
Other persons with the same name
- Yuan Yao — disambiguation page
- Yuan Yao 0001 — Nanjing University, State Key Laboratory for Novel Software Technology, China
- Yuan Yao 0002 — National Tsing Hua University, Department of Chemical Engineering, Hsinchu, Taiwan
- Yuan Yao 0003 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, China (and 1 more)
- Yuan Yao 0004 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- Yuan Yao 0005 — North Carolina State University, Sustainability Science and Engineering, Raleigh, NC, USA (and 1 more)
- Yuan Yao 0006 — Harvard University, Cambridge, MA, USA (and 1 more)
- Yuan Yao 0008 — Sanya Aviation and Tourism College, Sanya, China
- Yuan Yao 0009 — Uppsala University, Sweden (and 1 more)
- Yuan Yao 0010 — SUNY at Buffalo, USA (and 1 more)
- Yuan Yao 0011 — Hong Kong University of Science and Technology, Hong Kong (and 3 more)
- Yuan Yao 0012 — Beijing University of Posts and Telecommunications, School of Science, Beijing, China
- Yuan Yao 0013 — Tsinghua University, Institute for Artificial Intelligence, Department of Computer Science and Technology, Beijing, China (and 1 more)
- Yuan Yao 0014 — Wuhan University, Wuhan, China
- Yuan Yao 0015 — Lanzhou University, China
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2020 – today
- 2024
- [j9]Chengcheng Song, Yuan Yao, Sixian Chan:
Incorporating Online Learning Into MCTS-Based Intention Progression. IEEE Access 12: 56400-56413 (2024) - [j8]Kechen Zheng, Rongwei Luo, Zuxin Wang, Xiaoying Liu, Yuan Yao:
Short-Term and Long-Term Throughput Maximization in Mobile Wireless-Powered Internet of Things. IEEE Internet Things J. 11(6): 10575-10591 (2024) - [j7]Shihe Wang, Jianfeng Ren, Ruibin Bai, Yuan Yao, Xudong Jiang:
A Max-Relevance-Min-Divergence criterion for data discretization with applications on naive Bayes. Pattern Recognit. 149: 110236 (2024) - [c21]Renzhi Han, Boon-Giin Lee, Dave Towey, Yuan Yao, Matthew Pike:
Exploring Emotional Responses with Dynamic Difficulty Adjustment Adaptation in Immersive Virtual Reality Exergaming. COMPSAC 2024: 621-627 - [c20]Yuan Yao, Natasha Alechina, Brian Logan:
Intention Progression with Temporally Extended Goals. IJCAI 2024: 292-301 - 2023
- [j6]Yufan Zhang, Xiaoying Liu, Kechen Zheng, Yanjun Li, Yuan Yao:
Corrections to "Energy-Efficient Multicodebook-Based Backscatter Communications for Wireless-Powered Networks". IEEE Internet Things J. 10(4): 3680 (2023) - [c19]Di Wu, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah:
Intention Progression with Maintenance Goals. AAMAS 2023: 2400-2402 - [c18]Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, Felipe Meneguzzi, John Thangarajah:
Multi-Agent Intention Recognition and Progression. IJCAI 2023: 91-99 - 2022
- [j5]Yufan Zhang, Xiaoying Liu, Kechen Zheng, Yanjun Li, Yuan Yao:
Energy-Efficient Multicodebook-Based Backscatter Communications for Wireless-Powered Networks. IEEE Internet Things J. 9(18): 18153-18163 (2022) - [c17]Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah:
Multi-Agent Intention Progression with Reward Machines. IJCAI 2022: 215-222 - [i1]Shihe Wang, Jianfeng Ren, Ruibin Bai, Yuan Yao, Xudong Jiang:
A Max-relevance-min-divergence Criterion for Data Discretization with Applications on Naive Bayes. CoRR abs/2209.10095 (2022) - 2021
- [j4]Kechen Zheng, Xiaoying Liu, Biao Wang, Haifeng Zheng, Kaikai Chi, Yuan Yao:
Throughput Maximization of Wireless-Powered Communication Networks: An Energy Threshold Approach. IEEE Trans. Veh. Technol. 70(2): 1292-1306 (2021) - [c16]Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah:
Intention Progression using Quantitative Summary Information. AAMAS 2021: 1416-1424 - [c15]Yuan Yao, Di Wu:
GenGPT: A Systematic Way to Generate Synthetic Goal-Plan Trees. EMAS@AAMAS 2021: 373-380 - [c14]Michael Dann, Yuan Yao, Brian Logan, John Thangarajah:
Multi-Agent Intention Progression with Black-Box Agents. IJCAI 2021: 132-138 - 2020
- [j3]Baiying Lei, Feng Jiang, Feng Zhou, Dong Ni, Yuan Yao, Siping Chen, Tianfu Wang:
Hybrid descriptor for placental maturity grading. Multim. Tools Appl. 79(29-30): 21223-21239 (2020) - [c13]Michael Dann, John Thangarajah, Yuan Yao, Brian Logan:
Intention-Aware Multiagent Scheduling. AAMAS 2020: 285-293 - [c12]Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah:
Intention Progression under Uncertainty. IJCAI 2020: 10-16
2010 – 2019
- 2019
- [c11]Xin-Wei Yao, Ye-Chen-Ge Wu, Yuan Yao, Chu-Feng Qi, Wei Huang:
EECR: Energy-Efficient Cooperative Routing for EM-Based Nanonetworks. CDVE 2019: 30-38 - 2018
- [c10]Feng Jiang, Dong Ni, Siping Chen, Yuan Yao, Minh Hung Le, Tianfu Wang, Baiying Lei:
Placental maturity grading via hybrid descriptors based on fisher vector. ISBI 2018: 1517-1520 - 2017
- [b1]Yuan Yao:
Robust execution of belief-desire-intention-based agent programs. University of Nottingham, UK, 2017 - [j2]Bai Ying Lei, Ee-Leng Tan, Siping Chen, Wanjun Li, Dong Ni, Yuan Yao, Tianfu Wang:
Automatic placental maturity grading via hybrid learning. Neurocomputing 223: 86-102 (2017) - [j1]Bai Ying Lei, Wanjun Li, Yuan Yao, Xudong Jiang, Ee-Leng Tan, Jing Qin, Siping Chen, Dong Ni, Tianfu Wang:
Multi-modal and multi-layout discriminative learning for placental maturity staging. Pattern Recognit. 63: 719-730 (2017) - 2016
- [c9]Yuan Yao, Brian Logan, John Thangarajah:
Robust Execution of BDI Agent Programs by Exploiting Synergies Between Intentions. AAAI 2016: 2558-2565 - [c8]Yuan Yao, Lavindra de Silva, Brian Logan:
Reasoning About the Executability of Goal-Plan Trees. EMAS@AAMAS 2016: 176-191 - [c7]Yuan Yao, Brian Logan:
Action-Level Intention Selection for BDI Agents. AAMAS 2016: 1227-1236 - [c6]Yuan Yao, Brian Logan, John Thangarajah:
Intention Selection with Deadlines. ECAI 2016: 1700-1701 - [c5]Wanjun Li, Yuan Yao, Dong Ni, Siping Chen, Bai Ying Lei, Tianfu Wang:
Placental maturity evaluation via feature fusion and discriminative learning. ISBI 2016: 783-786 - 2015
- [c4]Wanjun Li, Dong Ni, Siping Chen, Bai Ying Lei, Tianfu Wang, Yuan Yao, Shengli Li:
Discriminative learning for automatic staging of placental maturity via multi-layer fisher vector. ICICS 2015: 1-5 - 2014
- [c3]Thu Trang Doan, Yuan Yao, Natasha Alechina, Brian Logan:
Verifying heterogeneous multi-agent programs. AAMAS 2014: 149-156 - [c2]Yuan Yao, Brian Logan, John Thangarajah:
SP-MCTS-based Intention Scheduling for BDI Agents. ECAI 2014: 1133-1134 - [c1]Baiying Lei, Xinyao Li, Yuan Yao, Shengli Li, Siping Chen, Yongjin Zhou, Dong Ni, Tianfu Wang:
Automatic grading of placental maturity based on LIOP and fisher vector. EMBC 2014: 4671-4674
Coauthor Index
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last updated on 2024-12-12 21:01 CET by the dblp team
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