Qi Meng

Orcid: 0009-0009-6429-0469

According to our database1, Qi Meng authored at least 65 papers between 2013 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
On the Convergence of Adam under Non-uniform Smoothness: Separability from SGDM and Beyond.
CoRR, 2024

A product performance rapid simulation approach driven by digital twin data: Part 1. For variable product structures.
Adv. Eng. Informatics, 2024

A product performance rapid simulation approach driven by digital twin data: Part 2. For variable operating conditions.
Adv. Eng. Informatics, 2024

2023
EAPR: explainable and augmented patient representation learning for disease prediction.
Health Inf. Sci. Syst., December, 2023

Incorporating NODE with pre-trained neural differential operator for learning dynamics.
Neurocomputing, April, 2023

Deciphering and integrating invariants for neural operator learning with various physical mechanisms.
CoRR, 2023

Power-law Dynamic arising from machine learning.
CoRR, 2023

Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation.
CoRR, 2023

NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition.
Proceedings of the International Conference on Machine Learning, 2023

𝒪-GNN: incorporating ring priors into molecular modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

GCN-based Entity Relation Extraction Method for Power Marketing Data.
Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications, 2023

Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Constructing the Basis Path Set by Eliminating the Path Dependency.
J. Syst. Sci. Complex., 2022

Provable Adaptivity in Adam.
CoRR, 2022

Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations.
CoRR, 2022

Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs.
CoRR, 2022

Multilingual Speech Emotion Recognition with Multi-Gating Mechanism and Neural Architecture Search.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Does Momentum Change the Implicit Regularization on Separable Data?
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.
Proceedings of the International Conference on Machine Learning, 2022

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Blockchain-based Security Governance Framework of Agricultural Product Traceability Data.
Proceedings of the 4th Blockchain and Internet of Things Conference, 2022

2021
Active Disturbance Rejection Based Repetitive Learning Control With Applications in Power Inverters.
IEEE Trans. Control. Syst. Technol., 2021

LMedS-Based Power Regression: An Optimal and Automatic Method of Radiometric Intercalibration for DMSP-OLS NTL Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Interpreting the Basis Path Set in Neural Networks.
J. Syst. Sci. Complex., 2021

Equivariant vector field network for many-body system modeling.
CoRR, 2021

Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD.
CoRR, 2021

Momentum Doesn't Change the Implicit Bias.
CoRR, 2021

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior.
CoRR, 2021

Machine-Learning Non-Conservative Dynamics for New-Physics Detection.
CoRR, 2021

Towards Accelerating Training of Batch Normalization: A Manifold Perspective.
CoRR, 2021

Path-BN: Towards effective batch normalization in the Path Space for ReLU networks.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Conversations Powered by Cross-Lingual Knowledge.
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.
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.
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.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks.
CoRR, 2020

Dynamic of Stochastic Gradient Descent with State-Dependent Noise.
CoRR, 2020

Reinforcement Learning with Dynamic Boltzmann Softmax Updates.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations.
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.
Trans. Inst. Meas. Control, 2019

Pedestrian Evacuation With Herding Behavior in the View-Limited Condition.
IEEE Trans. Comput. Soc. Syst., 2019

Convergence analysis of distributed stochastic gradient descent with shuffling.
Neurocomputing, 2019

A construction of the high-rate regular quasi-cyclic LDPC codes.
EURASIP J. Wirel. Commun. Netw., 2019

Reinforcement Learning with Dynamic Boltzmann Softmax Updates.
CoRR, 2019

Positively Scale-Invariant Flatness of ReLU Neural Networks.
CoRR, 2019

G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space.
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.
Proceedings of the 21st International Conference on Advanced Communication Technology, 2019

An Interactive Interface of QualNet for DigSilent in Power Grid Simulation.
Proceedings of the 21st International Conference on Advanced Communication Technology, 2019

Capacity Control of ReLU Neural Networks by Basis-Path Norm.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Target Transfer Q-Learning and Its Convergence Analysis.
CoRR, 2018

Optimizing Neural Networks in the Equivalent Class Space.
CoRR, 2018

Differential Equations for Modeling Asynchronous Algorithms.
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).
计算机科学, 2017

Novel method of locating ultrasonic wave heads based on spectrum-subtracted sub-band singular spectrum entropy.
J. Comput. Methods Sci. Eng., 2017

LightGBM: A Highly Efficient Gradient Boosting Decision Tree.
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.
Proceedings of the 34th International Conference on Machine Learning, 2017

Privacy Preservation for eSports: A Case Study Towards Augmented Video Golf Coaching System.
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017

Generalization Error Bounds for Optimization Algorithms via Stability.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning.
CoRR, 2016

A Communication-Efficient Parallel Algorithm for Decision Tree.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Asynchronous Accelerated Stochastic Gradient Descent.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2014
Estimation of the number of crop seeds based on image identification.
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.
Appl. Soft Comput., 2013


  Loading...