Qi Lei

According to our database, Qi Lei authored at least 94 papers between 2011 and 2024.

Collaborative distances:

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

2024

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

Taotao Cai, Qi Lei, Quan Z. Sheng, Ningning Cui, Shuiqiao Yang, Jian Yang, Wei Emma Zhang, Adnan Mahmood

IEEE Trans. Knowl. Data Eng., May, 2024

Gaussian mixture model sample selection strategy-based active semi-supervised soft sensor for industrial processes.

Xing Luo, Qi Lei, Huirui Wang

Trans. Inst. Meas. Control, 2024

A Semantic Controllable Long Text Steganography Framework Based on LLM Prompt Engineering and Knowledge Graph.

Yihao Li, Ru Zhang, Jianyi Liu, Qi Lei

IEEE Signal Process. Lett., 2024

Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining.

Jianwei Li, Yijun Dong, Qi Lei

CoRR, 2024

Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning.

Yijun Dong, Hoang Phan, Xiang Pan, Qi Lei

CoRR, 2024

Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity.

Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee

CoRR, 2024

Bridging Domains with Approximately Shared Features.

Ziliang Samuel Zhong, Xiang Pan, Qi Lei

CoRR, 2024

Data Reconstruction Attacks and Defenses: A Systematic Evaluation.

Sheng Liu, Zihan Wang, Qi Lei

CoRR, 2024

Controllable Prompt Tuning For Balancing Group Distributional Robustness.

Hoang Phan, Andrew Gordon Wilson, Qi Lei

Proceedings of the Forty-first International Conference on Machine Learning, 2024

An Information-Theoretic Analysis of In-Context Learning.

Hong Jun Jeon, Jason D. Lee, Qi Lei, Benjamin Van Roy

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Guided shuffled frog-leaping algorithm for flexible job shop scheduling problem with variable sublots and overlapping in operations.

Yunfan Yang, Yuchuan Song, Weifei Guo, Qi Lei, Aihong Sun, Lianghua Fan

Comput. Ind. Eng., June, 2023

Artificial Intelligence Empowered Traffic Control for Internet of Things with Mobile Edge Computing.

Qi Lei

J. Circuits Syst. Comput., May, 2023

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

Jianwei Li, Sheng Liu, Qi Lei

CoRR, 2023

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

Yijun Dong, Kevin Miller, Qi Lei, Rachel A. Ward

CoRR, 2023

Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms.

Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee

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.

Yijun Dong, Kevin Miller, Qi Lei, Rachel Ward

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.

Qi Lei, Cheng Wang

Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

Optimization for Amortized Inverse Problems.

Tianci Liu, Tong Yang, Quan Zhang, Qi Lei

Proceedings of the International Conference on Machine Learning, 2023

Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models.

Jianwei Li, Qi Lei, Wei Cheng, Dongkuan Xu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection.

Jianwei Li, Weizhi Gao, Qi Lei, Dongkuan Xu

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.

Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Sample Efficiency of Data Augmentation Consistency Regularization.

Shuo Yang, Yijun Dong, Rachel A. Ward, Inderjit S. Dhillon, Sujay Sanghavi, Qi Lei

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Reconstructing Training Data from Model Gradient, Provably.

Zihan Wang, Jason Lee, Qi Lei

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Provable Hierarchy-Based Meta-Reinforcement Learning.

Kurtland Chua, Qi Lei, Jason D. Lee

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing.

Xiangyu Song, Jianxin Li, Qi Lei, Wei Zhao, Yunliang Chen, Ajmal Mian

Knowl. Based Syst., 2022

Reconstructing Training Data from Model Gradient, Provably.

Zihan Wang, Jason D. Lee, Qi Lei

CoRR, 2022

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

Tianci Liu, Tong Yang, Quan Zhang, Qi Lei

CoRR, 2022

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

Taotao Cai, Qi Lei, Quan Z. Sheng, Shuiqiao Yang, Jian Yang, Wei Emma Zhang

CoRR, 2022

Nearly Minimax Algorithms for Linear Bandits with Shared Representation.

Jiaqi Yang, Qi Lei, Jason D. Lee, Simon S. Du

CoRR, 2022

Efficient Medical Image Assessment via Self-supervised Learning.

Chun-Yin Huang, Qi Lei, Xiaoxiao Li

Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

CAT: Customized Adversarial Training for Improved Robustness.

Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

High-throughput experimental methods for investigating biomolecular condensates.

Taoyu Chen, Qi Lei, Minglei Shi, Tingting Li

Quant. Biol., September, 2021

Autoencoder Assist: An Efficient Profiling Attack on High-dimensional Datasets.

Qi Lei, Zijia Yang, Qin Wang, Yaoling Ding, Zhe Ma, An Wang

IACR Cryptol. ePrint Arch., 2021

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

Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei

CoRR, 2021

A learning interactive genetic algorithm based on edge selection encoding for assembly job shop scheduling problem.

Weifei Guo, Qi Lei, Yuchuan Song, Xiangfei Lyu

Comput. Ind. Eng., 2021

Predicting What You Already Know Helps: Provable Self-Supervised Learning.

Jason D. Lee, Qi Lei, Nikunj Saunshi, Jiacheng Zhuo

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.

Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang

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.

Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang

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.

Kurtland Chua, Qi Lei, Jason D. Lee

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.

Jay Whang, Qi Lei, Alex Dimakis

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

Near-Optimal Linear Regression under Distribution Shift.

Qi Lei, Wei Hu, Jason D. Lee

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

A Theory of Label Propagation for Subpopulation Shift.

Tianle Cai, Ruiqi Gao, Jason D. Lee, Qi Lei

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

Few-Shot Learning via Learning the Representation, Provably.

Simon Shaolei Du, Wei Hu, Sham M. Kakade, Jason D. Lee, Qi Lei

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.

Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang

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.

Qi Lei, Fengmei Guo

J. Adv. Comput. Intell. Intell. Informatics, 2020

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

Lemeng Wu, Mao Ye, Qi Lei, Jason D. Lee, Qiang Liu

CoRR, 2020

Compressed Sensing with Invertible Generative Models and Dependent Noise.

Jay Whang, Qi Lei, Alexandros G. Dimakis

CoRR, 2020

Semi-Supervised Selective Affinity Propagation Ensemble Clustering With Active Constraints.

Qi Lei, Ting Li

IEEE Access, 2020

VGG-based side channel attack on RSA implementation.

Qi Lei, Chao Li, Kexin Qiao, Zhe Ma, Bo Yang

Proceedings of the 19th IEEE International Conference on Trust, 2020

Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev.

Xiao Wang, Qi Lei, Ioannis Panageas

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.

Qi Lei, Jason D. Lee, Alex Dimakis, Constantinos Daskalakis

Proceedings of the 37th International Conference on Machine Learning, 2020

Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls.

Jiacheng Zhuo, Qi Lei, Alex Dimakis, Constantine Caramanis

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Real-Time Performance Evaluation of the Combustion Process of Coke Oven.

Qi Lei, Di Zhu

J. Adv. Comput. Intell. Intell. Informatics, 2019

Primal-Dual Block Frank-Wolfe.

Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis

CoRR, 2019

Quantum Random Oracle Model for Quantum Public-Key Encryption.

Tao Shang, Ranyiliu Chen, Qi Lei

IEEE Access, 2019

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

Xiangfei Lyu, Yuchuan Song, Changzheng He, Qi Lei, Weifei Guo

IEEE Access, 2019

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

Qi Lei, Jia-Hui Li, Guo-Ping Liu, Min Wu

IEEE Access, 2019

Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data.

Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Primal-Dual Block Generalized Frank-Wolfe.

Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis

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.

Qi Lei, Ajil Jalal, Inderjit S. Dhillon, Alexandros G. Dimakis

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.

Qi Lei, Lingfei Wu, Pin-Yu Chen, Alex Dimakis, Inderjit S. Dhillon, Michael Witbrock

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

Similarity Preserving Representation Learning for Time Series Clustering.

Qi Lei, Jinfeng Yi, Roman Vaculín, Lingfei Wu, Inderjit S. Dhillon

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Selective Affinity Propagation Ensemble Clustering.

Qi Lei, Ting Li

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.

Qi Lei, Weifei Guo, Yuchuan Song

Int. J. Prod. Res., 2018

Discrete Attacks and Submodular Optimization with Applications to Text Classification.

Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock

CoRR, 2018

Hessian-based Analysis of Large Batch Training and Robustness to Adversaries.

Zhewei Yao, Amir Gholami, Qi Lei, Kurt Keutzer, Michael W. Mahoney

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.

Jiong Zhang, Qi Lei, Inderjit S. Dhillon

Proceedings of the 35th International Conference on Machine Learning, 2018

Session Expert: a Lightweight Conference Session Recommender System.

Jinfeng Yi, Qi Lei, Junchi Yan, Wei Sun

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Random Warping Series: A Random Features Method for Time-Series Embedding.

Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

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

Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu

CoRR, 2017

Similarity Preserving Representation Learning for Time Series Analysis.

Qi Lei, Jinfeng Yi, Roman Vaculín, Lingfei Wu, Inderjit S. Dhillon

CoRR, 2017

A Greedy Approach for Budgeted Maximum Inner Product Search.

Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei, Inderjit S. Dhillon

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.

Jie Wang, Jianqiao Liu, Jian Li, Jian Zhang, Qi Lei

Proceedings of the Data Science, 2017

Gradient Coding: Avoiding Stragglers in Distributed Learning.

Rashish Tandon, Qi Lei, Alexandros G. Dimakis, Nikos Karampatziakis

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

Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization.

Qi Lei, Ian En-Hsu Yen, Chao-Yuan Wu, Inderjit S. Dhillon, Pradeep Ravikumar

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

Performance monitoring and parameter optimization of fuzzy controller in combustion process of coke Oven.

Qi Lei, Di Zhu, Xu-Zhi Lai, Min Wu

Proceedings of the 11th Asian Control Conference, 2017

External consensus of networked multi-agent systems with nonlinear dynamics and random network delay.

Qi Lei, Jia-Hui Li, Guo-Ping Liu, Min Wu

Proceedings of the 11th Asian Control Conference, 2017

2016

Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization.

Arnaud Vandaele, Nicolas Gillis, Qi Lei, Kai Zhong, Inderjit S. Dhillon

IEEE Trans. Signal Process., 2016

Hybrid knowledge model of process planning and its green extension.

Qi Lei, Hong Wang, Yuchuan Song

J. Intell. Manuf., 2016

Image Clustering Using Active-Constraint Semi-Supervised Affinity Propagation.

Qi Lei, Jun Liu, Min Wu, Jie Wang

J. Adv. Comput. Intell. Intell. Informatics, 2016

Modeling of complex industrial process based on active semi-supervised clustering.

Qi Lei, Huiping Yu, Min Wu, Jinhua She

Eng. Appl. Artif. Intell., 2016

Gradient Coding.

Rashish Tandon, Qi Lei, Alexandros G. Dimakis, Nikos Karampatziakis

CoRR, 2016

Homomorphic Signature for Generation-based Network Coding.

Tao Shang, Tianli Peng, Qi Lei, Jianwei Liu

Proceedings of the 2016 IEEE International Conference on Smart Cloud, 2016

Coordinate-wise Power Method.

Qi Lei, Kai Zhong, Inderjit S. Dhillon

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.

Qi Lei, Min Wu, Jin-Hua She

IEEE Trans Autom. Sci. Eng., 2015

A Hierarchical Experimental Simulation Platform of Coking Production.

Hui Yan, Qi Lei, Min Wu

J. Adv. Comput. Intell. Intell. Informatics, 2015

Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization.

Arnaud Vandaele, Nicolas Gillis, Qi Lei, Kai Zhong, Inderjit S. Dhillon

CoRR, 2015

Vectorization of line drawing image based on junction analysis.

Jiazhou Chen, Qi Lei, Yongwei Miao, Qunsheng Peng

Sci. China Inf. Sci., 2015

Construction of reduced-order biothermal model of human body for brain hypothermia.

Jinhua She, Hiroshi Hashimoto, Qi Lei, Min Wu

Proceedings of the 24th IEEE International Symposium on Industrial Electronics, 2015

Equivalent-input-disturbance approach enables sliding-mode control systems to reject unmatched disturbances.

Jinhua She, Yaodong Pan, Hiroshi Hashimoto, Qi Lei, Min Wu

Proceedings of the IEEE International Conference on Industrial Technology, 2015

Two-dimensional robust modified repetitive control for uncertain systems with disturbances.

Pan Yu, Min Wu, Jinhua She, Qi Lei

Proceedings of the 10th Asian Control Conference, 2015

2013

Interactive Tensor Field Design Based on Line Singularities.

Jiazhou Chen, Qi Lei, Fan Zhong, Qunsheng Peng

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.

Zhibin Liu, Yantao Jin, Jiping Yang, Qi Lei, Liran Xu, Qiang Li, Huijun Guo

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.

Yan Lv, Min Wu, Qi Lei, Zhuo-Yun Nie

Intell. Autom. Soft Comput., 2011