Ming Lin
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
CoRR, 2024
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Fast quantification of matcha adulterants with laser-induced breakdown spectroscopy spectrum and image.
Comput. Electron. Agric., June, 2023
Event-Triggered Control for Markov Jump Systems Subject to Mismatched Modes and Strict Dissipativity.
IEEE Trans. Cybern., March, 2023
Distributed State Estimation Over Sensor Networks With Substate Decomposition Approach.
IEEE Trans. Netw. Sci. Eng., 2023
Learning the Relation Between Similarity Loss and Clustering Loss in Self-Supervised Learning.
IEEE Trans. Image Process., 2023
Reliable mixed H2/H∞ distributed estimation for periodic nonlinear systems with jumping topology.
J. Frankl. Inst., 2023
Set-Membership Filtering for Time-Varying Complex Networks with Randomly Varying Nonlinear Coupling Structure.
Circuits Syst. Signal Process., 2023
CoRR, 2023
Proceedings of the 52nd International Conference on Parallel Processing, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Medical Biol. Eng. Comput., 2022
J. Syst. Sci. Complex., 2022
Optimal sensor scheduling for remote state estimation with limited bandwidth: a deep reinforcement learning approach.
Inf. Sci., 2022
<i>H</i><sub>∞</sub> asynchronous synchronisation control for Markovian coupled delayed neural networks with missing information.
Int. J. Syst. Sci., 2022
Finite-time synchronisation for periodic delayed master-slave neural networks with weighted try-once-discard protocol.
Int. J. Syst. Sci., 2022
Reliable state estimation for neural networks with TOD protocol and mixed compensation.
Neurocomputing, 2022
Satellite and instrument entity recognition using a pre-trained language model with distant supervision.
Int. J. Digit. Earth, 2022
An earth observation potential evaluation model and its application to SDG indicators.
Int. J. Digit. Earth, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Computer Vision, 2022
2021
Effects of body postures on the shear modulus of thoracolumbar fascia: a shear wave elastography study.
Medical Biol. Eng. Comput., 2021
Finite-time synchronization for periodic T-S fuzzy master-slave neural networks with distributed delays.
J. Frankl. Inst., 2021
Revisiting Efficient Object Detection Backbones from Zero-Shot Neural Architecture Search.
CoRR, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Self-Driving Car Location Estimation Based on a Particle-Aided Unscented Kalman Filter.
Sensors, 2020
2019
Distant Search, Technological Diversity, and Branding Focus: Incremental and Radical Innovation in Small- and Medium-Sized Consignees.
IEEE Trans. Engineering Management, 2019
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
On the Generalization Ability of Online Gradient Descent Algorithm Under the Quadratic Growth Condition.
IEEE Trans. Neural Networks Learn. Syst., 2018
Data Min. Knowl. Discov., 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Image Process., 2017
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
2016
CoRR, 2016
A Non-convex One-Pass Framework for Generalized Factorization Machines and Rank-One Matrix Sensing.
CoRR, 2016
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
The Best of BothWorlds: Combining Data-Independent and Data-Driven Approaches for Action Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Pattern Recognit., 2015
Neurocomputing, 2015
The Best of Both Worlds: Combining Data-independent and Data-driven Approaches for Action Recognition.
CoRR, 2015
Proceedings of the 2015 TREC Video Retrieval Evaluation, 2015
Proceedings of the Third International Conference on Robot, Vision and Signal Processing, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
IEICE Electron. Express, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the 2014 TREC Video Retrieval Evaluation, 2014
2013
On the Sample Complexity of Random Fourier Features for Online Learning: How Many Random Fourier Features Do We Need?
ACM Trans. Knowl. Discov. Data, 2013
IEICE Electron. Express, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 2013 International Conference on Computer-Aided Design and Computer Graphics, 2013
2012
The Impact of Input-Mismatch on Flying-Adder Direct Period Synthesizer Output Jitter.
IEEE Trans. Circuits Syst. I Regul. Pap., 2012
Neural Comput. Appl., 2012
2011
A Storage-Based Carry Randomization Technique for Spurs Reduction in Flying-Adder Frequency Synthesizer.
IEEE Trans. Circuits Syst. II Express Briefs, 2011
2008
Question-driven segmentation of lecture speech text: Towards intelligent e-learning systems.
J. Assoc. Inf. Sci. Technol., 2008
Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008
2007
Correction: Inferring Loss-of-Heterozygosity from Unpaired Tumors Using High-Density Oligonucleotide SNP Arrays.
PLoS Comput. Biol., 2007
2006
Inferring Loss-of-Heterozygosity from Unpaired Tumors Using High-Density Oligonucleotide SNP Arrays.
PLoS Comput. Biol., 2006
Proceedings of the 8th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2006
2004
dChipSNP: significance curve and clustering of SNP-array-based loss-of-heterozygosity data.
Bioinform., 2004
Proceedings of the 37th Hawaii International Conference on System Sciences (HICSS-37 2004), 2004
Proceedings of the Artificial Intelligence: Methodology, 2004