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Qi Lei
ORCID
Publication Activity (10 Years)
Years Active: 2011-2024
Publications (10 Years): 109
Top Topics
Negative Matrix Factorization
Inverse Problems
Job Shop Scheduling
Affinity Propagation
Top Venues
CoRR
NeurIPS
ICML
AISTATS
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Publications
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Sheng Liu
,
Zihan Wang
,
Qi Lei
Data Reconstruction Attacks and Defenses: A Systematic Evaluation.
CoRR
(2024)
Hong Jun Jeon
,
Jason D. Lee
,
Qi Lei
,
Benjamin Van Roy
An Information-Theoretic Analysis of In-Context Learning.
CoRR
(2024)
Xing Luo
,
Qi Lei
,
Huirui Wang
Gaussian mixture model sample selection strategy-based active semi-supervised soft sensor for industrial processes.
Trans. Inst. Meas. Control
46 (5) (2024)
Qi Lei
,
Cheng Wang
Equivalent Input Disturbance-based Model Predictive Control of Shaking Table System.
ICPS
(2023)
Jianwei Li
,
Sheng Liu
,
Qi Lei
Beyond Gradient and Priors in Privacy Attacks: Leveraging Pooler Layer Inputs of Language Models in Federated Learning.
CoRR
(2023)
Qian Yu
,
Yining Wang
,
Baihe Huang
,
Qi Lei
,
Jason D. Lee
Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms.
CoRR
(2023)
Shuo Yang
,
Yijun Dong
,
Rachel Ward
,
Inderjit S. Dhillon
,
Sujay Sanghavi
,
Qi Lei
Sample Efficiency of Data Augmentation Consistency Regularization.
AISTATS
(2023)
Tianci Liu
,
Tong Yang
,
Quan Zhang
,
Qi Lei
Optimization for Amortized Inverse Problems.
ICML
(2023)
Qian Yu
,
Yining Wang
,
Baihe Huang
,
Qi Lei
,
Jason D. Lee
Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition.
AISTATS
(2023)
Yijun Dong
,
Kevin Miller
,
Qi Lei
,
Rachel Ward
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering.
CoRR
(2023)
Jianwei Li
,
Qi Lei
,
Wei Cheng
,
Dongkuan Xu
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models.
CoRR
(2023)
Zihan Wang
,
Jason Lee
,
Qi Lei
Reconstructing Training Data from Model Gradient, Provably.
AISTATS
(2023)
Jianwei Li
,
Weizhi Gao
,
Qi Lei
,
Dongkuan Xu
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection.
CoRR
(2023)
Qian Yu
,
Yining Wang
,
Baihe Huang
,
Qi Lei
,
Jason D. Lee
Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms.
NeurIPS
(2023)
Qi Lei
Artificial Intelligence Empowered Traffic Control for Internet of Things with Mobile Edge Computing.
J. Circuits Syst. Comput.
32 (8) (2023)
Jianwei Li
,
Weizhi Gao
,
Qi Lei
,
Dongkuan Xu
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection.
EMNLP (Findings)
(2023)
Yijun Dong
,
Kevin Miller
,
Qi Lei
,
Rachel Ward
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering.
NeurIPS
(2023)
Yunfan Yang
,
Yuchuan Song
,
Weifei Guo
,
Qi Lei
,
Aihong Sun
,
Lianghua Fan
Guided shuffled frog-leaping algorithm for flexible job shop scheduling problem with variable sublots and overlapping in operations.
Comput. Ind. Eng.
180 (2023)
Jianwei Li
,
Qi Lei
,
Wei Cheng
,
Dongkuan Xu
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models.
EMNLP
(2023)
Kurtland Chua
,
Qi Lei
,
Jason D. Lee
Provable Hierarchy-Based Meta-Reinforcement Learning.
AISTATS
(2023)
Zihan Wang
,
Jason D. Lee
,
Qi Lei
Reconstructing Training Data from Model Gradient, Provably.
CoRR
(2022)
Xiangyu Song
,
Jianxin Li
,
Qi Lei
,
Wei Zhao
,
Yunliang Chen
,
Ajmal Mian
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing.
Knowl. Based Syst.
241 (2022)
Xiangyu Song
,
Jianxin Li
,
Qi Lei
,
Wei Zhao
,
Yunliang Chen
,
Ajmal Mian
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing.
CoRR
(2022)
Chun-Yin Huang
,
Qi Lei
,
Xiaoxiao Li
Efficient Medical Image Assessment via Self-supervised Learning.
CoRR
(2022)
Chun-Yin Huang
,
Qi Lei
,
Xiaoxiao Li
Efficient Medical Image Assessment via Self-supervised Learning.
DALI@MICCAI
(2022)
Qi Lei
,
Zijia Yang
,
Qin Wang
,
Yaoling Ding
,
Zhe Ma
,
An Wang
Autoencoder Assist: An Efficient Profiling Attack on High-Dimensional Datasets.
ICICS
(2022)
Jiaqi Yang
,
Qi Lei
,
Jason D. Lee
,
Simon S. Du
Nearly Minimax Algorithms for Linear Bandits with Shared Representation.
CoRR
(2022)
Shuo Yang
,
Yijun Dong
,
Rachel Ward
,
Inderjit S. Dhillon
,
Sujay Sanghavi
,
Qi Lei
Sample Efficiency of Data Augmentation Consistency Regularization.
CoRR
(2022)
Minhao Cheng
,
Qi Lei
,
Pin-Yu Chen
,
Inderjit S. Dhillon
,
Cho-Jui Hsieh
CAT: Customized Adversarial Training for Improved Robustness.
IJCAI
(2022)
Tianci Liu
,
Tong Yang
,
Quan Zhang
,
Qi Lei
COEP: Cascade Optimization for Inverse Problems with Entropy-Preserving Hyperparameter Tuning.
CoRR
(2022)
Taotao Cai
,
Qi Lei
,
Quan Z. Sheng
,
Shuiqiao Yang
,
Jian Yang
,
Wei Emma Zhang
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks.
CoRR
(2022)
Tianle Cai
,
Ruiqi Gao
,
Jason D. Lee
,
Qi Lei
A Theory of Label Propagation for Subpopulation Shift.
CoRR
(2021)
Qi Lei
,
Wei Hu
,
Jason D. Lee
Near-Optimal Linear Regression under Distribution Shift.
ICML
(2021)
Qi Lei
,
Sai Ganesh Nagarajan
,
Ioannis Panageas
,
Xiao Wang
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes.
AISTATS
(2021)
Baihe Huang
,
Kaixuan Huang
,
Sham M. Kakade
,
Jason D. Lee
,
Qi Lei
,
Runzhe Wang
,
Jiaqi Yang
Going Beyond Linear RL: Sample Efficient Neural Function Approximation.
NeurIPS
(2021)
Baihe Huang
,
Kaixuan Huang
,
Sham M. Kakade
,
Jason D. Lee
,
Qi Lei
,
Runzhe Wang
,
Jiaqi Yang
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization.
CoRR
(2021)
Qi Lei
,
Zijia Yang
,
Qin Wang
,
Yaoling Ding
,
Zhe Ma
,
An Wang
Autoencoder Assist: An Efficient Profiling Attack on High-dimensional Datasets.
IACR Cryptol. ePrint Arch.
2021 (2021)
Taoyu Chen
,
Qi Lei
,
Minglei Shi
,
Tingting Li
High-throughput experimental methods for investigating biomolecular condensates.
Quant. Biol.
9 (3) (2021)
Simon Shaolei Du
,
Wei Hu
,
Sham M. Kakade
,
Jason D. Lee
,
Qi Lei
Few-Shot Learning via Learning the Representation, Provably.
ICLR
(2021)
Baihe Huang
,
Kaixuan Huang
,
Sham M. Kakade
,
Jason D. Lee
,
Qi Lei
,
Runzhe Wang
,
Jiaqi Yang
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization.
NeurIPS
(2021)
Weifei Guo
,
Qi Lei
,
Yuchuan Song
,
Xiangfei Lyu
A learning interactive genetic algorithm based on edge selection encoding for assembly job shop scheduling problem.
Comput. Ind. Eng.
159 (2021)
Tianle Cai
,
Ruiqi Gao
,
Jason D. Lee
,
Qi Lei
A Theory of Label Propagation for Subpopulation Shift.
ICML
(2021)
Kurtland Chua
,
Qi Lei
,
Jason D. Lee
How Fine-Tuning Allows for Effective Meta-Learning.
NeurIPS
(2021)
Kaixuan Huang
,
Sham M. Kakade
,
Jason D. Lee
,
Qi Lei
A Short Note on the Relationship of Information Gain and Eluder Dimension.
CoRR
(2021)
Jason D. Lee
,
Qi Lei
,
Nikunj Saunshi
,
Jiacheng Zhuo
Predicting What You Already Know Helps: Provable Self-Supervised Learning.
NeurIPS
(2021)
Qi Lei
,
Wei Hu
,
Jason D. Lee
Near-Optimal Linear Regression under Distribution Shift.
CoRR
(2021)
Kurtland Chua
,
Qi Lei
,
Jason D. Lee
How Fine-Tuning Allows for Effective Meta-Learning.
CoRR
(2021)
Jay Whang
,
Qi Lei
,
Alex Dimakis
Solving Inverse Problems with a Flow-based Noise Model.
ICML
(2021)
Baihe Huang
,
Kaixuan Huang
,
Sham M. Kakade
,
Jason D. Lee
,
Qi Lei
,
Runzhe Wang
,
Jiaqi Yang
Going Beyond Linear RL: Sample Efficient Neural Function Approximation.
CoRR
(2021)
Kurtland Chua
,
Qi Lei
,
Jason D. Lee
Provable Hierarchy-Based Meta-Reinforcement Learning.
CoRR
(2021)
Simon S. Du
,
Wei Hu
,
Sham M. Kakade
,
Jason D. Lee
,
Qi Lei
Few-Shot Learning via Learning the Representation, Provably.
CoRR
(2020)
Qi Lei
,
Sai Ganesh Nagarajan
,
Ioannis Panageas
,
Xiao Wang
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes.
CoRR
(2020)
Qi Lei
,
Chao Li
,
Kexin Qiao
,
Zhe Ma
,
Bo Yang
VGG-based side channel attack on RSA implementation.
TrustCom
(2020)
Qi Lei
,
Fengmei Guo
Assessment of Coke Oven Operating State Using Trend Analysis and Information Entropy.
J. Adv. Comput. Intell. Intell. Informatics
24 (2) (2020)
Xiao Wang
,
Qi Lei
,
Ioannis Panageas
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev.
CoRR
(2020)
Jiacheng Zhuo
,
Qi Lei
,
Alex Dimakis
,
Constantine Caramanis
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls.
AISTATS
(2020)
Jason D. Lee
,
Qi Lei
,
Nikunj Saunshi
,
Jiacheng Zhuo
Predicting What You Already Know Helps: Provable Self-Supervised Learning.
CoRR
(2020)
Qi Lei
,
Jason D. Lee
,
Alex Dimakis
,
Constantinos Daskalakis
SGD Learns One-Layer Networks in WGANs.
ICML
(2020)
Jay Whang
,
Qi Lei
,
Alexandros G. Dimakis
Compressed Sensing with Invertible Generative Models and Dependent Noise.
CoRR
(2020)
Qi Lei
,
Ting Li
Semi-Supervised Selective Affinity Propagation Ensemble Clustering With Active Constraints.
IEEE Access
8 (2020)
Minhao Cheng
,
Qi Lei
,
Pin-Yu Chen
,
Inderjit S. Dhillon
,
Cho-Jui Hsieh
CAT: Customized Adversarial Training for Improved Robustness.
CoRR
(2020)
Xiao Wang
,
Qi Lei
,
Ioannis Panageas
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev.
NeurIPS
(2020)
Lemeng Wu
,
Mao Ye
,
Qi Lei
,
Jason D. Lee
,
Qiang Liu
Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting.
CoRR
(2020)
Qi Lei
,
Jiacheng Zhuo
,
Constantine Caramanis
,
Inderjit S. Dhillon
,
Alexandros G. Dimakis
Primal-Dual Block Frank-Wolfe.
CoRR
(2019)
Qi Lei
,
Jason D. Lee
,
Alexandros G. Dimakis
,
Constantinos Daskalakis
SGD Learns One-Layer Networks in WGANs.
CoRR
(2019)
Qi Lei
,
Lingfei Wu
,
Pin-Yu Chen
,
Alex Dimakis
,
Inderjit S. Dhillon
,
Michael J. Witbrock
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification.
MLSys
(2019)
Qi Lei
,
Ajil Jalal
,
Inderjit S. Dhillon
,
Alexandros G. Dimakis
Inverting Deep Generative models, One layer at a time.
NeurIPS
(2019)
Qi Lei
,
Jiacheng Zhuo
,
Constantine Caramanis
,
Inderjit S. Dhillon
,
Alexandros G. Dimakis
Primal-Dual Block Generalized Frank-Wolfe.
NeurIPS
(2019)
Jiacheng Zhuo
,
Qi Lei
,
Alexandros G. Dimakis
,
Constantine Caramanis
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls.
CoRR
(2019)
Qi Lei
,
Jia-Hui Li
,
Guo-Ping Liu
,
Min Wu
External Consensus Protocol of Networked Multiagent Systems With Communication Delays Under Event-Triggered Mechanisms.
IEEE Access
7 (2019)
Qi Lei
,
Jinfeng Yi
,
Roman Vaculín
,
Lingfei Wu
,
Inderjit S. Dhillon
Similarity Preserving Representation Learning for Time Series Clustering.
IJCAI
(2019)
Qi Lei
,
Ajil Jalal
,
Inderjit S. Dhillon
,
Alexandros G. Dimakis
Inverting Deep Generative models, One layer at a time.
CoRR
(2019)
Qi Lei
,
Di Zhu
Real-Time Performance Evaluation of the Combustion Process of Coke Oven.
J. Adv. Comput. Intell. Intell. Informatics
23 (4) (2019)
Xiangfei Lyu
,
Yuchuan Song
,
Changzheng He
,
Qi Lei
,
Weifei Guo
Approach to Integrated Scheduling Problems Considering Optimal Number of Automated Guided Vehicles and Conflict-Free Routing in Flexible Manufacturing Systems.
IEEE Access
7 (2019)
Tao Shang
,
Ranyiliu Chen
,
Qi Lei
Quantum Random Oracle Model for Quantum Public-Key Encryption.
IEEE Access
7 (2019)
Qi Lei
,
Ting Li
Selective Affinity Propagation Ensemble Clustering.
CCTA
(2019)
Jinfeng Yi
,
Qi Lei
,
Wesley M. Gifford
,
Ji Liu
,
Junchi Yan
,
Bowen Zhou
Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data.
SDM
(2019)
Lingfei Wu
,
Ian En-Hsu Yen
,
Jinfeng Yi
,
Fangli Xu
,
Qi Lei
,
Michael Witbrock
Random Warping Series: A Random Features Method for Time-Series Embedding.
AISTATS
(2018)
Jiong Zhang
,
Qi Lei
,
Inderjit S. Dhillon
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization.
CoRR
(2018)
Zhewei Yao
,
Amir Gholami
,
Qi Lei
,
Kurt Keutzer
,
Michael W. Mahoney
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries.
CoRR
(2018)
Jinfeng Yi
,
Qi Lei
,
Junchi Yan
,
Wei Sun
Session Expert: a Lightweight Conference Session Recommender System.
IEEE BigData
(2018)
Jiong Zhang
,
Qi Lei
,
Inderjit S. Dhillon
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization.
ICML
(2018)
Zhewei Yao
,
Amir Gholami
,
Qi Lei
,
Kurt Keutzer
,
Michael W. Mahoney
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries.
NeurIPS
(2018)
Lingfei Wu
,
Ian En-Hsu Yen
,
Jinfeng Yi
,
Fangli Xu
,
Qi Lei
,
Michael Witbrock
Random Warping Series: A Random Features Method for Time-Series Embedding.
CoRR
(2018)
Qi Lei
,
Weifei Guo
,
Yuchuan Song
Integrated scheduling algorithm based on an operation relationship matrix table for tree-structured products.
Int. J. Prod. Res.
56 (16) (2018)
Qi Lei
,
Lingfei Wu
,
Pin-Yu Chen
,
Alexandros G. Dimakis
,
Inderjit S. Dhillon
,
Michael Witbrock
Discrete Attacks and Submodular Optimization with Applications to Text Classification.
CoRR
(2018)
Jie Wang
,
Jianqiao Liu
,
Jian Li
,
Jian Zhang
,
Qi Lei
Design and Implementation of Medical Data Management System.
ICPCSEE (1)
(2017)
Qi Lei
,
Jinfeng Yi
,
Roman Vaculín
,
Lingfei Wu
,
Inderjit S. Dhillon
Similarity Preserving Representation Learning for Time Series Analysis.
CoRR
(2017)
Jinfeng Yi
,
Qi Lei
,
Wesley M. Gifford
,
Ji Liu
Negative-Unlabeled Tensor Factorization for Location Category Inference from Inaccurate Mobility Data.
CoRR
(2017)
Qi Lei
,
Ian En-Hsu Yen
,
Chao-Yuan Wu
,
Inderjit S. Dhillon
,
Pradeep Ravikumar
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization.
ICML
(2017)
Qi Lei
,
Jia-Hui Li
,
Guo-Ping Liu
,
Min Wu
External consensus of networked multi-agent systems with nonlinear dynamics and random network delay.
ASCC
(2017)
Rashish Tandon
,
Qi Lei
,
Alexandros G. Dimakis
,
Nikos Karampatziakis
Gradient Coding: Avoiding Stragglers in Distributed Learning.
ICML
(2017)
Hsiang-Fu Yu
,
Cho-Jui Hsieh
,
Qi Lei
,
Inderjit S. Dhillon
A Greedy Approach for Budgeted Maximum Inner Product Search.
NIPS
(2017)
Qi Lei
,
Di Zhu
,
Xu-Zhi Lai
,
Min Wu
Performance monitoring and parameter optimization of fuzzy controller in combustion process of coke Oven.
ASCC
(2017)
Qi Lei
,
Jun Liu
,
Min Wu
,
Jie Wang
Image Clustering Using Active-Constraint Semi-Supervised Affinity Propagation.
J. Adv. Comput. Intell. Intell. Informatics
20 (7) (2016)
Qi Lei
,
Hong Wang
,
Yuchuan Song
Hybrid knowledge model of process planning and its green extension.
J. Intell. Manuf.
27 (5) (2016)
Qi Lei
,
Huiping Yu
,
Min Wu
,
Jinhua She
Modeling of complex industrial process based on active semi-supervised clustering.
Eng. Appl. Artif. Intell.
56 (2016)
Hsiang-Fu Yu
,
Cho-Jui Hsieh
,
Qi Lei
,
Inderjit S. Dhillon
A Greedy Approach for Budgeted Maximum Inner Product Search.
CoRR
(2016)
Qi Lei
,
Kai Zhong
,
Inderjit S. Dhillon
Coordinate-wise Power Method.
NIPS
(2016)
Arnaud Vandaele
,
Nicolas Gillis
,
Qi Lei
,
Kai Zhong
,
Inderjit S. Dhillon
Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization.
IEEE Trans. Signal Process.
64 (21) (2016)