Qi Meng

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

Energy Optimization in Statistical AoI-Aware MEC Systems.

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[DOI]

Qi Meng

Hancheng Lu

Langtian Qin

IEEE Commun. Lett., October, 2024

Randomness Regularization With Simple Consistency Training for Neural Networks.

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[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting.

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CoRR, 2024

On the Convergence of Adam under Non-uniform Smoothness: Separability from SGDM and Beyond.

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[DOI]

CoRR, 2024

A product performance rapid simulation approach driven by digital twin data: Part 1. For variable product structures.

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[DOI]

Adv. Eng. Informatics, 2024

A product performance rapid simulation approach driven by digital twin data: Part 2. For variable operating conditions.

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Adv. Eng. Informatics, 2024

Provable Adaptivity of Adam under Non-uniform Smoothness.

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[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter.

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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

EAPR: explainable and augmented patient representation learning for disease prediction.

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[DOI]

Health Inf. Sci. Syst., December, 2023

Incorporating NODE with pre-trained neural differential operator for learning dynamics.

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[DOI]

Neurocomputing, April, 2023

Deciphering and integrating invariants for neural operator learning with various physical mechanisms.

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[DOI]

Rui Zhang

Qi Meng

Zhi-Ming Ma

CoRR, 2023

Power-law Dynamic arising from machine learning.

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[DOI]

CoRR, 2023

Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation.

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[DOI]

CoRR, 2023

NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition.

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[DOI]

Proceedings of the International Conference on Machine Learning, 2023

𝒪-GNN: incorporating ring priors into molecular modeling.

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[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

GCN-based Entity Relation Extraction Method for Power Marketing Data.

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Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications, 2023

Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations.

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Constructing the Basis Path Set by Eliminating the Path Dependency.

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J. Syst. Sci. Complex., 2022

Provable Adaptivity in Adam.

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[DOI]

CoRR, 2022

Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations.

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[DOI]

CoRR, 2022

Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs.

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[DOI]

CoRR, 2022

Multilingual Speech Emotion Recognition with Multi-Gating Mechanism and Neural Architecture Search.

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[DOI]

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Does Momentum Change the Implicit Regularization on Separable Data?

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SE(3) Equivariant Graph Neural Networks with Complete Local Frames.

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[DOI]

Proceedings of the International Conference on Machine Learning, 2022

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior.

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[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Blockchain-based Security Governance Framework of Agricultural Product Traceability Data.

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[DOI]

Qi Meng

Proceedings of the 4th Blockchain and Internet of Things Conference, 2022

2021

Active Disturbance Rejection Based Repetitive Learning Control With Applications in Power Inverters.

[BibT_eX]

[DOI]

Qi Meng

Zhongsheng Hou

IEEE Trans. Control. Syst. Technol., 2021

LMedS-Based Power Regression: An Optimal and Automatic Method of Radiometric Intercalibration for DMSP-OLS NTL Imagery.

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[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Interpreting the Basis Path Set in Neural Networks.

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[DOI]

J. Syst. Sci. Complex., 2021

Equivariant vector field network for many-body system modeling.

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[DOI]

CoRR, 2021

Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD.

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[DOI]

CoRR, 2021

Momentum Doesn't Change the Implicit Bias.

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[DOI]

CoRR, 2021

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior.

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[DOI]

CoRR, 2021

Machine-Learning Non-Conservative Dynamics for New-Physics Detection.

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[DOI]

CoRR, 2021

Towards Accelerating Training of Batch Normalization: A Manifold Perspective.

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[DOI]

CoRR, 2021

Path-BN: Towards effective batch normalization in the Path Space for ReLU networks.

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[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Conversations Powered by Cross-Lingual Knowledge.

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[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

R-Drop: Regularized Dropout for Neural Networks.

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Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost.

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Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks.

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[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Optimized Methods for Online Monitoring of L-Glutamic Acid Crystallization.

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[DOI]

Timing Yang

Chen Jiang

Qi Meng

Proceedings of the 2021 International Conference on Signal Processing and Machine Learning (CONF-SPML), 2021

2020

The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks.

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[DOI]

Bohan Wang

Qi Meng

Wei Chen

CoRR, 2020

Dynamic of Stochastic Gradient Descent with State-Dependent Noise.

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[DOI]

CoRR, 2020

Reinforcement Learning with Dynamic Boltzmann Softmax Updates.

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Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations.

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Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Data-driven multi-inverter cooperative control for voltage tracking and current sharing in islanded AC microgrids.

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[DOI]

Qi Meng

Zhongsheng Hou

Trans. Inst. Meas. Control, 2019

Pedestrian Evacuation With Herding Behavior in the View-Limited Condition.

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[DOI]

IEEE Trans. Comput. Soc. Syst., 2019

Convergence analysis of distributed stochastic gradient descent with shuffling.

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[DOI]

Neurocomputing, 2019

A construction of the high-rate regular quasi-cyclic LDPC codes.

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[DOI]

EURASIP J. Wirel. Commun. Netw., 2019

Reinforcement Learning with Dynamic Boltzmann Softmax Updates.

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[DOI]

CoRR, 2019

Positively Scale-Invariant Flatness of ReLU Neural Networks.

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[DOI]

CoRR, 2019

G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space.

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[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

An Interactive Interface for Information Exchanging between QualNet and Virtual Machine for IP Based Network.

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Proceedings of the 21st International Conference on Advanced Communication Technology, 2019

An Interactive Interface of QualNet for DigSilent in Power Grid Simulation.

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Proceedings of the 21st International Conference on Advanced Communication Technology, 2019

Capacity Control of ReLU Neural Networks by Basis-Path Norm.

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Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Target Transfer Q-Learning and Its Convergence Analysis.

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[DOI]

CoRR, 2018

Optimizing Neural Networks in the Equivalent Class Space.

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CoRR, 2018

Differential Equations for Modeling Asynchronous Algorithms.

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[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

一种融合ViBe与多特征提取的微动目标检测算法 (Algorithm of Micro-motion Object Detection Based on ViBe and Multi-feature Extraction).

[BibT_eX]

[DOI]

Chunde Yang

Qi Meng

计算机科学, 2017

Novel method of locating ultrasonic wave heads based on spectrum-subtracted sub-band singular spectrum entropy.

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[DOI]

J. Comput. Methods Sci. Eng., 2017

LightGBM: A Highly Efficient Gradient Boosting Decision Tree.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Asynchronous Stochastic Gradient Descent with Delay Compensation.

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[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Privacy Preservation for eSports: A Case Study Towards Augmented Video Golf Coaching System.

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[DOI]

Boris Bacic

Qi Meng

Kam Yuk Chan

Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017

Generalization Error Bounds for Optimization Algorithms via Stability.

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[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction.

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Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning.

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[DOI]

CoRR, 2016

A Communication-Efficient Parallel Algorithm for Decision Tree.

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Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Asynchronous Accelerated Stochastic Gradient Descent.

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[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2014

Estimation of the number of crop seeds based on image identification.

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[DOI]

Pengfei Li

Qi Meng

Weihong Zhang

Proceedings of the IEEE Computers, 2014

2013

A hybrid approach based on differential evolution and tissue membrane systems for solving constrained manufacturing parameter optimization problems.

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[DOI]

Appl. Soft Comput., 2013

Qi Meng

Bibliography

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