Qi Lei

Orcid: 0000-0003-0634-6435

According to our database1, Qi Lei authored at least 91 papers between 2011 and 2024.

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Bibliography

2024
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks.
IEEE Trans. Knowl. Data Eng., May, 2024

Gaussian mixture model sample selection strategy-based active semi-supervised soft sensor for industrial processes.
Trans. Inst. Meas. Control, 2024

Bridging Domains with Approximately Shared Features.
CoRR, 2024

Controllable Prompt Tuning For Balancing Group Distributional Robustness.
CoRR, 2024

Data Reconstruction Attacks and Defenses: A Systematic Evaluation.
CoRR, 2024

An Information-Theoretic Analysis of In-Context Learning.
CoRR, 2024

2023
Guided shuffled frog-leaping algorithm for flexible job shop scheduling problem with variable sublots and overlapping in operations.
Comput. Ind. Eng., June, 2023

Artificial Intelligence Empowered Traffic Control for Internet of Things with Mobile Edge Computing.
J. Circuits Syst. Comput., May, 2023

Beyond Gradient and Priors in Privacy Attacks: Leveraging Pooler Layer Inputs of Language Models in Federated Learning.
CoRR, 2023

Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering.
CoRR, 2023

Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Equivalent Input Disturbance-based Model Predictive Control of Shaking Table System.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

Optimization for Amortized Inverse Problems.
Proceedings of the International Conference on Machine Learning, 2023

Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Sample Efficiency of Data Augmentation Consistency Regularization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Reconstructing Training Data from Model Gradient, Provably.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Provable Hierarchy-Based Meta-Reinforcement Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing.
Knowl. Based Syst., 2022

Reconstructing Training Data from Model Gradient, Provably.
CoRR, 2022

COEP: Cascade Optimization for Inverse Problems with Entropy-Preserving Hyperparameter Tuning.
CoRR, 2022

Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks.
CoRR, 2022

Nearly Minimax Algorithms for Linear Bandits with Shared Representation.
CoRR, 2022

Efficient Medical Image Assessment via Self-supervised Learning.
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

CAT: Customized Adversarial Training for Improved Robustness.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Autoencoder Assist: An Efficient Profiling Attack on High-Dimensional Datasets.
Proceedings of the Information and Communications Security - 24th International Conference, 2022

2021
High-throughput experimental methods for investigating biomolecular condensates.
Quant. Biol., September, 2021

Autoencoder Assist: An Efficient Profiling Attack on High-dimensional Datasets.
IACR Cryptol. ePrint Arch., 2021

A Short Note on the Relationship of Information Gain and Eluder Dimension.
CoRR, 2021

A learning interactive genetic algorithm based on edge selection encoding for assembly job shop scheduling problem.
Comput. Ind. Eng., 2021

Predicting What You Already Know Helps: Provable Self-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optimal Gradient-based Algorithms for Non-concave Bandit Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Going Beyond Linear RL: Sample Efficient Neural Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

How Fine-Tuning Allows for Effective Meta-Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Solving Inverse Problems with a Flow-based Noise Model.
Proceedings of the 38th International Conference on Machine Learning, 2021

Near-Optimal Linear Regression under Distribution Shift.
Proceedings of the 38th International Conference on Machine Learning, 2021

A Theory of Label Propagation for Subpopulation Shift.
Proceedings of the 38th International Conference on Machine Learning, 2021

Few-Shot Learning via Learning the Representation, Provably.
Proceedings of the 9th International Conference on Learning Representations, 2021

Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Assessment of Coke Oven Operating State Using Trend Analysis and Information Entropy.
J. Adv. Comput. Intell. Intell. Informatics, 2020

Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting.
CoRR, 2020

Compressed Sensing with Invertible Generative Models and Dependent Noise.
CoRR, 2020

Semi-Supervised Selective Affinity Propagation Ensemble Clustering With Active Constraints.
IEEE Access, 2020

VGG-based side channel attack on RSA implementation.
Proceedings of the 19th IEEE International Conference on Trust, 2020

Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SGD Learns One-Layer Networks in WGANs.
Proceedings of the 37th International Conference on Machine Learning, 2020

Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Real-Time Performance Evaluation of the Combustion Process of Coke Oven.
J. Adv. Comput. Intell. Intell. Informatics, 2019

Primal-Dual Block Frank-Wolfe.
CoRR, 2019

Quantum Random Oracle Model for Quantum Public-Key Encryption.
IEEE Access, 2019

Approach to Integrated Scheduling Problems Considering Optimal Number of Automated Guided Vehicles and Conflict-Free Routing in Flexible Manufacturing Systems.
IEEE Access, 2019

External Consensus Protocol of Networked Multiagent Systems With Communication Delays Under Event-Triggered Mechanisms.
IEEE Access, 2019

Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Primal-Dual Block Generalized Frank-Wolfe.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Inverting Deep Generative models, One layer at a time.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification.
Proceedings of Machine Learning and Systems 2019, 2019

Similarity Preserving Representation Learning for Time Series Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Selective Affinity Propagation Ensemble Clustering.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019

2018
Integrated scheduling algorithm based on an operation relationship matrix table for tree-structured products.
Int. J. Prod. Res., 2018

Discrete Attacks and Submodular Optimization with Applications to Text Classification.
CoRR, 2018

Hessian-based Analysis of Large Batch Training and Robustness to Adversaries.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization.
Proceedings of the 35th International Conference on Machine Learning, 2018

Session Expert: a Lightweight Conference Session Recommender System.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Random Warping Series: A Random Features Method for Time-Series Embedding.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Negative-Unlabeled Tensor Factorization for Location Category Inference from Inaccurate Mobility Data.
CoRR, 2017

Similarity Preserving Representation Learning for Time Series Analysis.
CoRR, 2017

A Greedy Approach for Budgeted Maximum Inner Product Search.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Design and Implementation of Medical Data Management System.
Proceedings of the Data Science, 2017

Gradient Coding: Avoiding Stragglers in Distributed Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization.
Proceedings of the 34th International Conference on Machine Learning, 2017

Performance monitoring and parameter optimization of fuzzy controller in combustion process of coke Oven.
Proceedings of the 11th Asian Control Conference, 2017

External consensus of networked multi-agent systems with nonlinear dynamics and random network delay.
Proceedings of the 11th Asian Control Conference, 2017

2016
Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization.
IEEE Trans. Signal Process., 2016

Hybrid knowledge model of process planning and its green extension.
J. Intell. Manuf., 2016

Image Clustering Using Active-Constraint Semi-Supervised Affinity Propagation.
J. Adv. Comput. Intell. Intell. Informatics, 2016

Modeling of complex industrial process based on active semi-supervised clustering.
Eng. Appl. Artif. Intell., 2016

Gradient Coding.
CoRR, 2016

Homomorphic Signature for Generation-based Network Coding.
Proceedings of the 2016 IEEE International Conference on Smart Cloud, 2016

Coordinate-wise Power Method.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Online Optimization of Fuzzy Controller for Coke-Oven Combustion Process Based on Dynamic Just-in-Time Learning.
IEEE Trans Autom. Sci. Eng., 2015

A Hierarchical Experimental Simulation Platform of Coking Production.
J. Adv. Comput. Intell. Intell. Informatics, 2015

Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization.
CoRR, 2015

Vectorization of line drawing image based on junction analysis.
Sci. China Inf. Sci., 2015

Construction of reduced-order biothermal model of human body for brain hypothermia.
Proceedings of the 24th IEEE International Symposium on Industrial Electronics, 2015

Equivalent-input-disturbance approach enables sliding-mode control systems to reject unmatched disturbances.
Proceedings of the IEEE International Conference on Industrial Technology, 2015

Two-dimensional robust modified repetitive control for uncertain systems with disturbances.
Proceedings of the 10th Asian Control Conference, 2015

2013
Interactive Tensor Field Design Based on Line Singularities.
Proceedings of the 2013 International Conference on Computer-Aided Design and Computer Graphics, 2013

Prevalence and related factors of anemia among human immunodeficiency virus(HIV)/acquired immune deficiency syndrome (AIDS) outpatients in resources limited region of China.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2011
Soft Sensor Based on a Pso-Bp Neural Network for a Titanium Billet Furnace-Temperature.
Intell. Autom. Soft Comput., 2011


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