Jianing Shi - RankMe

12 papers A* 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Development and validation of a machine learning model for early screening of high-risk mild cognitive impairment from the multi-cohort data. Int. J. Medical Informatics Xuan Wu, Xuecheng Yao, Jianing Shi, Mengling Tang, Qingli Zhou, Kun Chen
2025	J	`jnl`	LiveSearchBench: An Automatically Constructed Benchmark for Retrieval and Reasoning over Dynamic Knowledge. CoRR Heng Zhou, Ao Yu, Yuchen Fan, Jianing Shi, Li Kang, Hejia Geng, Yongting Zhang, Yutao Fan, Yuhao Wu, Tiancheng He, Yiran Qin, Lei Bai, Zhenfei Yin
2023	J	`jnl`	An RSU-crossed dependent task offloading scheme for vehicular edge computing based on deep reinforcement learning. Int. J. Sens. Networks Xiang Bi, Jianing Shi, Benhong Zhang, Zengwei Lyu, Lingjie Huang
2022	A*	`conf`	JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. IJCAI Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang
2022	J	`jnl`	MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. CoRR Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman
2021	J	`jnl`	JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. CoRR Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang
2021	—	`conf`	MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman
2014	J	`jnl`	Sparse Bilinear Logistic Regression. CoRR Jianing Shi, Yangyang Xu, Richard G. Baraniuk
2014	J	`jnl`	Video Compressive Sensing for Dynamic MRI. CoRR Jianing Shi, Wotao Yin, Aswin C. Sankaranarayanan, Richard G. Baraniuk
2010	J	`jnl`	A Fast Hybrid Algorithm for Large-Scale J. Mach. Learn. Res. Jianing Shi, Wotao Yin, Stanley J. Osher, Paul Sajda
2008	J	`jnl`	A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model. SIAM J. Imaging Sci. Jianing Shi, Stanley J. Osher
2006	—	`conf`	Analysis of a Gain Control Model of V1: Is the Goal Redundancy Reduction? EMBC Jianing Shi, Jim Wielaard, Paul Sajda