Ming Shi

According to our database, Ming Shi authored at least 33 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

scDecouple: decoupling cellular response from infected proportion bias in scCRISPR-seq.

Qiuchen Meng, Lei Wei, Kun Ma, Ming Shi, Xinyi Lin, Joshua W. K. Ho, Yinqing Li, Xuegong Zhang

Briefings Bioinform., January, 2024

2023

Transfer learning application of self-supervised learning in ARPES.

Sandy Adhitia Ekahana, Genta Indra Winata, Y. Soh, Anna Tamai, Radovic Milan, Gabriel Aeppli, Ming Shi

Mach. Learn. Sci. Technol., September, 2023

Invertible mask network for face privacy preservation.

Yang Yang, Yiyang Huang, Ming Shi, Kejiang Chen, Weiming Zhang

Inf. Sci., June, 2023

Theoretical Hardness and Tractability of POMDPs in RL with Partial Hindsight State Information.

Ming Shi, Yingbin Liang, Ness B. Shroff

CoRR, 2023

Self-training with dual uncertainty for semi-supervised medical image segmentation.

Zhanhong Qiu, Haitao Gan, Ming Shi, Zhongwei Huang, Zhi Yang

CoRR, 2023

HD-GCN: A Hybrid Diffusion Graph Convolutional Network.

Zhi Yang, Kang Li, Haitao Gan, Zhongwei Huang, Ming Shi

CoRR, 2023

Semi-Supervised Carotid Plaque Image Classification Using Feature Correction and Pseudo-Label Balance Correction.

Wenjie Yu, Weiyan Gan, Furong Wang, Zhi Yang, Ming Shi, Ran Zhou

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

MView-DTI: A Multi-view Feature Fusion-Based Approach for Drug-Target Protein Interaction Prediction.

Jiahui Wen, Haitao Gan, Zhi Yang, Ming Shi, Ji Wang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints.

Ming Shi, Yingbin Liang, Ness B. Shroff

Proceedings of the International Conference on Machine Learning, 2023

Near-Optimal Adversarial Reinforcement Learning with Switching Costs.

Ming Shi, Yingbin Liang, Ness B. Shroff

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Generalization of orientation trajectories and force-torque profiles for learning human assembly skill.

Boyang Ti, Yongsheng Gao, Ming Shi, Jie Zhao

Robotics Comput. Integr. Manuf., 2022

Reversible data hiding with enhancing contrast and preserving brightness in medical image.

Ming Shi, Yang Yang, Jian Meng, Weiming Zhang

J. Inf. Secur. Appl., 2022

Transfer Learning Application of Self-supervised Learning in ARPES.

Sandy Adhitia Ekahana, Genta Indra Winata, Y. Soh, Gabriel Aeppli, Radovic Milan, Ming Shi

CoRR, 2022

Invertible Mask Network for Face Privacy-Preserving.

Yang Yang, Yiyang Huang, Ming Shi, Kejiang Chen, Weiming Zhang, Nenghai Yu

CoRR, 2022

VaeSSC: Enhanced GRN Inference with Structural Similarity Constrained Beta-VAE.

Hongmin Zhang, Ming Shi, Zhongwei Huang, Zhi Yang, Ran Zhou, Haitao Gan

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Hierarchical Pooling Graph Convolutional Neural Network for Alzheimer's Disease Diagnosis.

Wenya Liu, Zhi Yang, Haitao Gan, Zhongwei Huang, Ran Zhou, Ming Shi

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Power-of-2-arms for bandit learning with switching costs.

Ming Shi, Xiaojun Lin, Lei Jiao

Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

A Knowledge Representation Method for Multiple Pattern Embeddings Based on Entity-Relation Mapping Matrix.

Donglin Wu, Jing Zhao, Ming Li, Ming Shi

Proceedings of the International Joint Conference on Neural Networks, 2022

A Knowledge Graph Link Prediction Model with Combined 1D and 2D Convolutional Embeddings.

Ming Shi, Jing Zhao

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks.

Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury, Eylem Ekici, Atilla Eryilmaz, Stratis Ioannidis, Nan Jiang, Gauri Joshi, Jim Kurose, Yingbin Liang, Zhiqiang Lin, Jia Liu, Mingyan Liu, Tommaso Melodia, Aryan Mokhtari, Rob Nowak, Sewoong Oh, Srini Parthasarathy, Chunyi Peng, Hulya Seferoglu, Ness B. Shroff, Sanjay Shakkottai, Kannan Srinivasan, Ameet Talwalkar, Aylin Yener, Lei Ying

Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022

2021

Competitive Online Convex Optimization With Switching Costs and Ramp Constraints.

Ming Shi, Xiaojun Lin, Sonia Fahmy

IEEE/ACM Trans. Netw., 2021

Tracking algorithm of snowboard target in intelligent system.

Zhipeng Li, Xiaolan Li, Ming Shi, Wenli Song, Guowei Zhao, Ruizhu Yang, Shangbin Li

J. Intell. Fuzzy Syst., 2021

An adaptive coarse-fine semantic segmentation method for the attachment recognition on marine current turbines.

Haiyang Peng, Dingding Yang, Tianzhen Wang, Shreya Pandey, Lisu Chen, Ming Shi, Demba Diallo

Comput. Electr. Eng., 2021

Combining Regularization with Look-Ahead for Competitive Online Convex Optimization.

Ming Shi, Xiaojun Lin, Lei Jiao

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Obstacle Avoidance Methods Based on Geometric Information Under the DMPs Framework.

Ming Shi, Yongsheng Gao, Boyang Ti, Jie Zhao

Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

2019

On the Value of Look-Ahead in Competitive Online Convex Optimization.

Ming Shi, Xiaojun Lin, Lei Jiao

Proc. ACM Meas. Anal. Comput. Syst., 2019

Matrix Polynomial Predictive Model: A New Approach to Accelerating the PARAFAC Decomposition.

Ming Shi, Dan Li, Jian Qiu Zhang

IEEE Access, 2019

2018

A New Approach to Guided Wave Ray Tomography for Temperature-Robust Damage Detection Using Piezoelectric Sensors.

Dan Li, Ming Shi, Feng Xu, Chengcheng Liu, Jianqiu Zhang, Dean Ta

Sensors, 2018

An Alternating Bayesian Approach to PARAFAC Decomposition of Tensors.

Ming Shi, Dan Li, Jian Qiu Zhang

IEEE Access, 2018

Competitive Online Convex Optimization with Switching Costs and Ramp Constraints.

Ming Shi, Xiaojun Lin, Sonia Fahmy, Dong-Hoon Shin

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

2017

Convergence acceleration of alternating least squares with a matrix polynomial predictive model for PARAFAC decomposition of a tensor.

Ming Shi, JianQiu Zhang, Bo Hu, Bin Wang, Qiyong Lu

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Performance and Improvement of Tree-Based Methods for Gene Regulatory Network Reconstruction.

Ming Shi, Yanwen Chong, Shao-Ming Pan

Proceedings of the Intelligent Computing Theories and Application, 2016

2012

Membrane Computing Optimization Method Based on Catalytic Factor.

Fuluo Wang, Yourui Huang, Ming Shi, Shanshan Wu

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2012