Luning Sun - RankMe

18 papers A* 2Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Capabilities Ain't All You Need: Measuring Propensities in AI. CoRR Daniel Romero-Alvarado, Fernando Martínez-Plumed, Lorenzo Pacchiardi, Hugo Save, Siddhesh Milind Pawar, Behzad Mehrbakhsh, Pablo Antonio Moreno Casares, Ben Slater, Paolo Bova, Peter Romero, Zachary R. Tidler, Jonathan E. Prunty, Luning Sun, José Hernández-Orallo
2026	J	`jnl`	From Human-Level AI Tales to AI Leveling Human Scales. CoRR Peter Romero, Fernando Martínez-Plumed, Zachary R. Tyler, Matthieu Téhénan, Sipeng Chen, Álvaro David Gómez Antón, Luning Sun, Manuel Cebrián, Lexin Zhou, Yael Moros-Daval, Daniel Romero-Alvarado, Félix Martí Pérez, Kevin Wei, José Hernández-Orallo
2025	J	`jnl`	A Novel Framework for Augmenting Rating Scale Tests with LLM-Scored Text Data. CoRR Joe Watson, Ivan O'Conner, Chia-Wen Chen, Luning Sun, Fang Luo, David Stillwell
2025	J	`jnl`	General Scales Unlock AI Evaluation with Explanatory and Predictive Power. CoRR Lexin Zhou, Lorenzo Pacchiardi, Fernando Martínez-Plumed, Katherine M. Collins, Yael Moros-Daval, Seraphina Zhang, Qinlin Zhao, Yitian Huang, Luning Sun, Jonathan E. Prunty, Zongqian Li, Pablo Sánchez-García, Kexin Jiang Chen, Pablo A. M. Casares, Jiyun Zu, John Burden, Behzad Mehrbakhsh, David Stillwell, Manuel Cebrián, Jindong Wang, Peter Henderson, Sherry Tongshuang Wu, Patrick C. Kyllonen, Lucy Cheke, Xing Xie, José Hernández-Orallo
2025	J	`jnl`	Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems. CoRR Luning Sun, Xin-Yang Liu, Siyan Zhao, Aditya Grover, Jian-Xun Wang, Jayaraman J. Thiagarajan
2025	J	`jnl`	Self-supervised and Multi-fidelity Learning for Extended Predictive Soil Spectroscopy. CoRR Luning Sun, José Lucas Safanelli, Jonathan Sanderman, Katerina Georgiou, Colby Brungard, Kanchan Grover, Bryan G. Hopkins, Shusen Liu, Timo Bremer
2024	J	`jnl`	Large Language Models show both individual and collective creativity comparable to humans. CoRR Luning Sun, Yuzhuo Yuan, Yuan Yao, Yanyan Li, Hao Zhang, Xing Xie, Xiting Wang, Fang Luo, David Stillwell
2023	J	`jnl`	An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions. Neural Comput. Appl. Ehsan Adeli, Luning Sun, Jianxun Wang, Alexandros A. Taflanidis
2023	J	`jnl`	Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation. CoRR Han Gao, Xu Han, Xiantao Fan, Luning Sun, Li-Ping Liu, Lian Duan, Jian-Xun Wang
2023	J	`jnl`	Evaluating General-Purpose AI with Psychometrics. CoRR Xiting Wang, Liming Jiang, José Hernández-Orallo, Luning Sun, David Stillwell, Fang Luo, Xing Xie
2023	J	`jnl`	Mental health concerns precede quits: shifts in the work discourse during the Covid-19 pandemic and great resignation. EPJ Data Sci. R. Maria del Rio Chanona, Alejandro Hermida Carrillo, Melody Sepahpour-Fard, Luning Sun, Renata Topinkova, Ljubica Nedelkoska
2023	J	`jnl`	Personality Traits in Large Language Models. CoRR Mustafa Safdari, Greg Serapio-García, Clément Crepy, Stephen Fitz, Peter Romero, Luning Sun, Marwa Abdulhai, Aleksandra Faust, Maja J. Mataric
2023	A*	`conf`	Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model. NeurIPS Luning Sun, Xu Han, Han Gao, Jian-Xun Wang, Liping Liu
2022	J	`jnl`	An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions. CoRR Ehsan Adeli, Luning Sun, Jianxun Wang, Alexandros A. Taflanidis
2022	A*	`conf`	Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty. NeurIPS Luning Sun, Daniel Huang, Hao Sun, Jian-Xun Wang
2022	J	`jnl`	Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty. CoRR Luning Sun, Daniel Zhengyu Huang, Hao Sun, Jian-Xun Wang
2022	J	`jnl`	Mental health concerns prelude the Great Resignation: Evidence from Social Media. CoRR R. Maria del Rio Chanona, Alejandro Hermida Carrillo, Melody Sepahpour-Fard, Luning Sun, Renata Topinkova, Ljubica Nedelkoska
2021	J	`jnl`	PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain. J. Comput. Phys. Han Gao, Luning Sun, Jian-Xun Wang