2022 article

Context-Based Identification of Muscle Invasion Status in Patients With Bladder Cancer Using Natural Language Processing

Yang, R., Zhu, D., Howard, L. E., Hoedt, A. D., Schroeck, F. R., Klaassen, Z., … Williams, S. B. (2022, January 24). JCO Clinical Cancer Informatics.

MeSH headings : Cystectomy / methods; Female; Humans; Male; Muscles / pathology; Natural Language Processing; Rare Diseases; Urinary Bladder Neoplasms / pathology; Urologic Surgical Procedures
topics (OpenAlex): Bladder and Urothelial Cancer Treatments; Urinary and Genital Oncology Studies; Colorectal Cancer Screening and Detection
TL;DR: This NLP model, with high accuracy, may be a practical tool for efficiently identifying BC invasion status and aid in population-based BC research. (via Semantic Scholar)
Source: ORCID
Added: July 30, 2022

2022 article

Identification of Patients With Metastatic Prostate Cancer With Natural Language Processing and Machine Learning

Yang, R., Zhu, D., Howard, L. E., Hoedt, A. D., Williams, S. B., Freedland, S. J., & Klaassen, Z. (2022, October 10). JCO Clinical Cancer Informatics.

By: R. Yang*, D. Zhu, L. Howard*, A. Hoedt, S. Williams*, S. Freedland*, Z. Klaassen*

MeSH headings : Algorithms; Electronic Health Records; Humans; Machine Learning; Male; Natural Language Processing; Prostatic Neoplasms / diagnosis
topics (OpenAlex): Prostate Cancer Treatment and Research; Cancer-related gene regulation; Natural Language Processing Techniques
TL;DR: This population-level NLP model for identifying patients with mPCa was more accurate than using ICD9/10 billing codes when compared with chart-reviewed data and an International Classification of Diseases 9/10 code-based method. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: ORCID
Added: October 11, 2022

2021 article

Continuous Human Learning Optimization with Enhanced Exploitation

Wang, L., Huang, B., Wu, X., & Yang, R. (2021, January 1). Communications in Computer and Information Science, pp. 472–487.

By: L. Wang*, B. Huang*, X. Wu* & R. Yang n

Contributors: L. Wang*, B. Huang*, X. Wu* & R. Yang n

topics (OpenAlex): Metaheuristic Optimization Algorithms Research; Advanced Multi-Objective Optimization Algorithms; Machine Learning and Data Classification
Source: ORCID
Added: December 6, 2021

2018 article

An Intelligent and Hybrid Weighted Fuzzy Time Series Model Based on Empirical Mode Decomposition for Financial Markets Forecasting

Yang, R., He, J., Xu, M., Ni, H., Jones, P., & Samatova, N. (2018, January 1). Lecture Notes in Computer Science, pp. 104–118.

By: R. Yang n, J. He*, M. Xu n, H. Ni n, P. Jones n & N. Samatova*

Contributors: R. Yang n, J. He*, M. Xu n, H. Ni n, P. Jones n & N. Samatova*

author keywords: EMD; Weighted fuzzy time series; Human learning optimization algorithm; Financial markets forecasting
topics (OpenAlex): Stock Market Forecasting Methods; Energy Load and Power Forecasting; Market Dynamics and Volatility
TL;DR: A new Intelligent Hybrid Weighted Fuzzy (IHWF) time series model to improve forecasting accuracy in financial markets, which are complex nonlinear time-sensitive systems, influenced by many factors. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: June 17, 2019

2018 article

Mining Aspect-Specific Opinions from Online Reviews Using a Latent Embedding Structured Topic Model

Xu, M., Yang, R., Jones, P., & Samatova, N. F. (2018, January 1). Lecture Notes in Computer Science, pp. 195–210.

By: M. Xu n, R. Yang n, P. Jones n & N. Samatova*

Contributors: M. Xu n, R. Yang n, P. Jones n & N. Samatova*

topics (OpenAlex): Sentiment Analysis and Opinion Mining; Advanced Text Analysis Techniques; Topic Modeling
TL;DR: This paper proposes a Latent embedding structured Opinion mining Topic model, called the LOT, which can simultaneously discover relevant aspect-level specific opinions from small or large numbers of reviews and to assign accurate sentiment to words. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
1. No Poverty (OpenAlex)
Sources: Web Of Science, ORCID
Added: January 28, 2019

2017 article

A Lifelong Learning Topic Model Structured Using Latent Embeddings

Xu, M., Yang, R., Harenberg, S., & Samatova, N. F. (2017, January 1). Proceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017, pp. 260–261.

By: M. Xu n, R. Yang n, S. Harenberg n & N. Samatova n

Contributors: M. Xu n, R. Yang n, S. Harenberg n & N. Samatova n

author keywords: Lifelong learning; Topic modeling; Latent embeddings
topics (OpenAlex): Topic Modeling; Natural Language Processing Techniques; Text and Document Classification Technologies
TL;DR: A latent-embedding-structured lifelong learning topic model, called the LLT model, to discover coherent topics from a corpus and exploit latent word embeddings to structure the model and mine word correlation knowledge to assist in topic modeling. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2017 article

An Intelligent Weighted Fuzzy Time Series Model Based on a Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting

Yang, R., Xu, M., He, J., Ranshous, S., & Samatova, N. F. (2017, January 1). Lecture Notes in Computer Science, pp. 595–607.

By: R. Yang n, M. Xu n, J. He*, S. Ranshous n & N. Samatova n

Contributors: R. Yang n, M. Xu n, J. He*, S. Ranshous n & N. Samatova n

author keywords: Weighted fuzzy time series; Human learning optimization algorithm; Financial markets forecasting
topics (OpenAlex): Stock Market Forecasting Methods; Energy Load and Power Forecasting; Complex Systems and Time Series Analysis
TL;DR: An intelligent weighted fuzzy time series model for financial forecasting, which uses a sine-cosine adaptive human learning optimization (SCHLO) algorithm to search for the optimal parameters for forecasting, is presented. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: November 26, 2018

2017 article

Leveraging External Knowledge for Phrase-Based Topic Modeling

Xu, M., Yang, R., Ranshous, S., Li, S., & Samatova, N. F. (2017, December 1). Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017, pp. 29–32.

By: M. Xu n, R. Yang n, S. Ranshous n, S. Li n & N. Samatova n

Contributors: M. Xu n, R. Yang n, S. Ranshous n, S. Li n & N. Samatova n

topics (OpenAlex): Topic Modeling; Advanced Text Analysis Techniques; Computational and Text Analysis Methods
TL;DR: Experimental results show that the proposed knowledge-based topic model outperforms the state-of-the-art baseline on both small and large datasets, extracting more meaningful phrases and coherent topics. (via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2017 article

Real time utility-based recommendation for revenue optimization via an adaptive online Top-K high utility itemsets mining model

Yang, R., Xu, M., Jones, P., & Samatova, N. (2017, July 1). ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, pp. 1859–1866.

By: R. Yang n, M. Xu n, P. Jones n & N. Samatova*

Contributors: R. Yang n, M. Xu n, P. Jones n & N. Samatova*

topics (OpenAlex): Recommender Systems and Techniques; Consumer Market Behavior and Pricing; Customer churn and segmentation
TL;DR: This work considers that online transaction streams are usually accompanied with flow fluctuation, and proposes an Adaptive Online Top-K (RAOTK) high utility itemsets mining model to guide the utility-based recommendations. (via Semantic Scholar)
Sources: ORCID, NC State University Libraries
Added: August 6, 2018

2015 article

A human learning optimization algorithm and its application to multi-dimensional knapsack problems

Wang, L., Yang, R., Ni, H., Ye, W., Fei, M., & Pardalos, P. M. (2015, June 18). Applied Soft Computing, Vol. 34, pp. 736–743.

By: L. Wang*, R. Yang n, H. Ni*, W. Ye*, M. Fei* & P. Pardalos*

Contributors: L. Wang*, R. Yang n, H. Ni*, W. Ye*, M. Fei* & P. Pardalos*

author keywords: Human learning optimization; Meta-heuristic; Multi-dimensional knapsack problem; Global optimization
topics (OpenAlex): Metaheuristic Optimization Algorithms Research; Robotic Path Planning Algorithms; Optimization and Packing Problems
TL;DR: Four learning operators inspired by the human learning process are developed and the presented HLO achieves the best performance in comparison with other meta-heuristics, which demonstrates that HLO is a promising optimization tool. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 article

An adaptive simplified human learning optimization algorithm

Wang, L., Ni, H., Yang, R., Pardalos, P. M., Du, X., & Fei, M. (2015, May 16). Information Sciences, Vol. 320, pp. 126–139.

By: L. Wang*, H. Ni*, R. Yang*, P. Pardalos*, X. Du* & M. Fei*

Contributors: L. Wang*, H. Ni*, R. Yang*, P. Pardalos*, X. Du* & M. Fei*

author keywords: Human learning optimization; Meta-heuristic; Global optimization; Social learning; Individual learning
topics (OpenAlex): Metaheuristic Optimization Algorithms Research; Advanced Multi-Objective Optimization Algorithms; Scheduling and Timetabling Solutions
TL;DR: The experimental results demonstrate that the developed ASHLO significantly outperforms BPSO, MBDE, bFOA and ABHS and has a robust search ability for various problems. (via Semantic Scholar)
Source: ORCID
Added: December 6, 2021

2015 article

Intelligent virtual reference feedback tuning and its application to heat treatment electric furnace control

Wang, L., Ni, H., Yang, R., Pardalos, P. M., Jia, L., & Fei, M. (2015, September 9). Engineering Applications of Artificial Intelligence, Vol. 46, pp. 1–9.

By: L. Wang*, H. Ni*, R. Yang*, P. Pardalos*, L. Jia* & M. Fei*

Contributors: L. Wang*, H. Ni*, R. Yang*, P. Pardalos*, L. Jia* & M. Fei*

author keywords: Intelligent virtual reference feedback tuning; VRFT; Harmony search; Ant colony optimization; Heat treatment electric furnace; Data-driven
topics (OpenAlex): Advanced Control Systems Optimization; Iterative Learning Control Systems; Control Systems and Identification
TL;DR: A novel intelligent VRFT (IVRFT) based on adaptive binary ant system harmony search (ABASHS) where the reference model of VRFT, which potentially determines the control performance, is coordinately optimized with the controller by ABASHS to achieve the best control performance. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: ORCID
Added: December 6, 2021

2014 article

A Simple Human Learning Optimization Algorithm

Wang, L., Ni, H., Yang, R., Fei, M., & Ye, W. (2014, January 1). Communications in Computer and Information Science, Vol. 462, pp. 56–65.

By: L. Wang*, H. Ni*, R. Yang*, M. Fei* & W. Ye

Contributors: L. Wang*, H. Ni*, R. Yang*, M. Fei* & W. Ye

topics (OpenAlex): Metaheuristic Optimization Algorithms Research
TL;DR: Considering the ease of implementation and the excellence of global search ability, SHLO is a promising optimization tool. (via Semantic Scholar)
Source: ORCID
Added: December 6, 2021

2013 article

An adaptive fuzzy controller based on harmony search and its application to power plant control

Wang, L., Yang, R., Pardalos, P. M., Qian, L., & Fei, M. (2013, May 25). International Journal of Electrical Power & Energy Systems, Vol. 53, pp. 272–278.

By: L. Wang*, R. Yang*, P. Pardalos*, L. Qian & M. Fei*

Contributors: L. Wang*, R. Yang*, P. Pardalos*, L. Qian & M. Fei*

author keywords: Adaptive fuzzy control; Harmony search; Power plant; Binary Harmony Search
topics (OpenAlex): Advanced Control Systems Optimization; Advanced Algorithms and Applications; Advanced Control Systems Design
TL;DR: The experimental results demonstrate that ABHSAFC can implement the expected non-overshoot control efficiently and outperforms the classical Lyapunov-based adaptive fuzzy control, AB HS-based fuzzy control and ABHS-based PID control. (via Semantic Scholar)
Source: ORCID
Added: December 6, 2021

2013 article

An improved adaptive binary Harmony Search algorithm

Wang, L., Yang, R., Xu, Y., Niu, Q., Pardalos, P. M., & Fei, M. (2013, January 16). Information Sciences, Vol. 232, pp. 58–87.

Contributors: L. Wang*, R. Yang*, Y. Xu*, Q. Niu*, P. Pardalos* & M. Fei*

author keywords: Harmony Search; Binary Harmony Search; Meta-heuristic; Knapsack problem
topics (OpenAlex): Metaheuristic Optimization Algorithms Research; Advanced Multi-Objective Optimization Algorithms; Robotic Path Planning Algorithms
TL;DR: An improved adaptive binary Harmony Search (ABHS) algorithm is proposed in this paper to solve the binary-coded problems more effectively and outperforms the binary Harmony search algorithm, the novel global Harmony Search algorithm and the discrete binary Particle Swarm Optimization in terms of the search accuracy and convergence speed. (via Semantic Scholar)
Source: ORCID
Added: December 6, 2021

2013 article

Feature selection based on meta-heuristics for biomedicine

Wang, L., Ni, H., Yang, R., Pappu, V., Fenn, M. B., & Pardalos, P. M. (2013, August 19). Optimization Methods & Software, Vol. 29, pp. 703–719.

By: L. Wang*, H. Ni*, R. Yang*, V. Pappu*, M. Fenn* & P. Pardalos*

Contributors: L. Wang*, H. Ni*, R. Yang*, V. Pappu*, M. Fenn* & P. Pardalos*

author keywords: meta-heuristic; feature selection; biomedicine
topics (OpenAlex): Metaheuristic Optimization Algorithms Research; Machine Learning and Data Classification; Rough Sets and Fuzzy Logic
TL;DR: Six meta-heuristics, that is, a genetic algorithm, particle swarm optimization, ant colony optimization, harmony search, differential evolution, and quantum-inspired evolutionary algorithm, are introduced into feature selection and the performance of the algorithms is analysed and compared with each other for solving feature selection in biomedicine effectively. (via Semantic Scholar)
Source: ORCID
Added: December 6, 2021

Employment

Updated: March 5th, 2018 23:54

2017 - present

North Carolina State University Raleigh, NC, US
Research Assistant Computer Science

2014 - 2016

North Carolina State University Raleigh, NC, US
Teaching Assistant Computer Science

Education

Updated: March 5th, 2018 23:52

2014 - present

North Carolina State University Raleigh, NC, US
Computer Science

2007 - 2014

Shanghai University Shanghai, Shanghai, CN

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