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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j24]Guanqing Kong, Qi Lei:
Taking relations as known conditions: A tagging based method for relational triple extraction. Comput. Speech Lang. 90: 101734 (2025)- 2024
- [j23]Yihao Li
, Ru Zhang, Jianyi Liu, Qi Lei:
A Semantic Controllable Long Text Steganography Framework Based on LLM Prompt Engineering and Knowledge Graph. IEEE Signal Process. Lett. 31: 2610-2614 (2024) - [j22]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): 962-972 (2024) - [j21]Taotao Cai, Qi Lei, Quan Z. Sheng, Ningning Cui, Shuiqiao Yang, Jian Yang, Wei Emma Zhang, Adnan Mahmood:
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks. IEEE Trans. Knowl. Data Eng. 36(5): 2151-2165 (2024) - [c51]Hong Jun Jeon, Jason D. Lee, Qi Lei, Benjamin Van Roy:
An Information-Theoretic Analysis of In-Context Learning. ICML 2024 - [c50]Hoang Phan, Andrew Gordon Wilson, Qi Lei:
Controllable Prompt Tuning For Balancing Group Distributional Robustness. ICML 2024 - [i48]Hong Jun Jeon, Jason D. Lee, Qi Lei, Benjamin Van Roy:
An Information-Theoretic Analysis of In-Context Learning. CoRR abs/2401.15530 (2024) - [i47]Sheng Liu, Zihan Wang, Qi Lei:
Data Reconstruction Attacks and Defenses: A Systematic Evaluation. CoRR abs/2402.09478 (2024) - [i46]Hoang Phan, Andrew Gordon Wilson, Qi Lei:
Controllable Prompt Tuning For Balancing Group Distributional Robustness. CoRR abs/2403.02695 (2024) - [i45]Ziliang Samuel Zhong, Xiang Pan, Qi Lei:
Bridging Domains with Approximately Shared Features. CoRR abs/2403.06424 (2024) - [i44]Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee:
Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity. CoRR abs/2406.19617 (2024) - [i43]Yijun Dong, Hoang Phan, Xiang Pan, Qi Lei:
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning. CoRR abs/2407.06120 (2024) - [i42]Jianwei Li, Yijun Dong, Qi Lei:
Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining. CoRR abs/2407.19126 (2024) - [i41]Qi Zhang, Yifei Wang, Jingyi Cui, Xiang Pan, Qi Lei, Stefanie Jegelka, Yisen Wang:
Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness. CoRR abs/2410.21331 (2024) - 2023
- [j20]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: 109209 (2023) - [j19]Qi Lei:
Artificial Intelligence Empowered Traffic Control for Internet of Things with Mobile Edge Computing. J. Circuits Syst. Comput. 32(8): 2350048:1-2350048:14 (2023) - [c49]Shuo Yang, Yijun Dong, Rachel A. Ward, Inderjit S. Dhillon, Sujay Sanghavi, Qi Lei:
Sample Efficiency of Data Augmentation Consistency Regularization. AISTATS 2023: 3825-3853 - [c48]Zihan Wang, Jason Lee, Qi Lei:
Reconstructing Training Data from Model Gradient, Provably. AISTATS 2023: 6595-6612 - [c47]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: 6806-6821 - [c46]Kurtland Chua, Qi Lei, Jason D. Lee:
Provable Hierarchy-Based Meta-Reinforcement Learning. AISTATS 2023: 10918-10967 - [c45]Jianwei Li, Qi Lei, Wei Cheng, Dongkuan Xu:
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models. EMNLP 2023: 1229-1247 - [c44]Jianwei Li, Weizhi Gao, Qi Lei, Dongkuan Xu:
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection. EMNLP (Findings) 2023: 11407-11423 - [c43]Tianci Liu, Tong Yang, Quan Zhang, Qi Lei:
Optimization for Amortized Inverse Problems. ICML 2023: 22289-22319 - [c42]Qi Lei, Cheng Wang:
Equivalent Input Disturbance-based Model Predictive Control of Shaking Table System. ICPS 2023: 1-6 - [c41]Yijun Dong, Kevin Miller, Qi Lei, Rachel Ward:
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering. NeurIPS 2023 - [c40]Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee:
Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms. NeurIPS 2023 - [i40]Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee:
Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms. CoRR abs/2306.12383 (2023) - [i39]Yijun Dong, Kevin Miller, Qi Lei, Rachel A. Ward:
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering. CoRR abs/2307.11030 (2023) - [i38]Jianwei Li, Weizhi Gao, Qi Lei, Dongkuan Xu:
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection. CoRR abs/2310.13183 (2023) - [i37]Jianwei Li, Qi Lei, Wei Cheng, Dongkuan Xu:
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models. CoRR abs/2310.13191 (2023) - [i36]Jianwei Li, Sheng Liu, Qi Lei:
Beyond Gradient and Priors in Privacy Attacks: Leveraging Pooler Layer Inputs of Language Models in Federated Learning. CoRR abs/2312.05720 (2023) - 2022
- [j18]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: 108274 (2022) - [c39]Qi Lei, Zijia Yang, Qin Wang, Yaoling Ding, Zhe Ma, An Wang:
Autoencoder Assist: An Efficient Profiling Attack on High-Dimensional Datasets. ICICS 2022: 324-341 - [c38]Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh:
CAT: Customized Adversarial Training for Improved Robustness. IJCAI 2022: 673-679 - [c37]Chun-Yin Huang, Qi Lei, Xiaoxiao Li:
Efficient Medical Image Assessment via Self-supervised Learning. DALI@MICCAI 2022: 102-111 - [i35]Xiangyu Song, Jianxin Li, Qi Lei, Wei Zhao, Yunliang Chen, Ajmal Mian:
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing. CoRR abs/2201.09020 (2022) - [i34]Shuo Yang, Yijun Dong, Rachel A. Ward, Inderjit S. Dhillon, Sujay Sanghavi, Qi Lei:
Sample Efficiency of Data Augmentation Consistency Regularization. CoRR abs/2202.12230 (2022) - [i33]Jiaqi Yang, Qi Lei, Jason D. Lee, Simon S. Du:
Nearly Minimax Algorithms for Linear Bandits with Shared Representation. CoRR abs/2203.15664 (2022) - [i32]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 abs/2205.05236 (2022) - [i31]Chun-Yin Huang, Qi Lei, Xiaoxiao Li:
Efficient Medical Image Assessment via Self-supervised Learning. CoRR abs/2209.14434 (2022) - [i30]Tianci Liu, Tong Yang, Quan Zhang, Qi Lei:
COEP: Cascade Optimization for Inverse Problems with Entropy-Preserving Hyperparameter Tuning. CoRR abs/2210.13983 (2022) - [i29]Zihan Wang, Jason D. Lee, Qi Lei:
Reconstructing Training Data from Model Gradient, Provably. CoRR abs/2212.03714 (2022) - 2021
- [j17]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: 107455 (2021) - [j16]Taoyu Chen, Qi Lei, Minglei Shi, Tingting Li:
High-throughput experimental methods for investigating biomolecular condensates. Quant. Biol. 9(3): 255-266 (2021) - [c36]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: 1441-1449 - [c35]Simon Shaolei Du, Wei Hu, Sham M. Kakade, Jason D. Lee, Qi Lei:
Few-Shot Learning via Learning the Representation, Provably. ICLR 2021 - [c34]Tianle Cai, Ruiqi Gao, Jason D. Lee, Qi Lei:
A Theory of Label Propagation for Subpopulation Shift. ICML 2021: 1170-1182 - [c33]Qi Lei, Wei Hu, Jason D. Lee:
Near-Optimal Linear Regression under Distribution Shift. ICML 2021: 6164-6174 - [c32]Jay Whang, Qi Lei, Alex Dimakis:
Solving Inverse Problems with a Flow-based Noise Model. ICML 2021: 11146-11157 - [c31]Jason D. Lee, Qi Lei, Nikunj Saunshi, Jiacheng Zhuo:
Predicting What You Already Know Helps: Provable Self-Supervised Learning. NeurIPS 2021: 309-323 - [c30]Kurtland Chua, Qi Lei, Jason D. Lee:
How Fine-Tuning Allows for Effective Meta-Learning. NeurIPS 2021: 8871-8884 - [c29]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: 8968-8983 - [c28]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: 29101-29115 - [i28]Tianle Cai, Ruiqi Gao, Jason D. Lee, Qi Lei:
A Theory of Label Propagation for Subpopulation Shift. CoRR abs/2102.11203 (2021) - [i27]Kurtland Chua, Qi Lei, Jason D. Lee:
How Fine-Tuning Allows for Effective Meta-Learning. CoRR abs/2105.02221 (2021) - [i26]Qi Lei, Wei Hu, Jason D. Lee:
Near-Optimal Linear Regression under Distribution Shift. CoRR abs/2106.12108 (2021) - [i25]Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei:
A Short Note on the Relationship of Information Gain and Eluder Dimension. CoRR abs/2107.02377 (2021) - [i24]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 abs/2107.04518 (2021) - [i23]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 abs/2107.06466 (2021) - [i22]Kurtland Chua, Qi Lei, Jason D. Lee:
Provable Hierarchy-Based Meta-Reinforcement Learning. CoRR abs/2110.09507 (2021) - [i21]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: 1418 (2021) - 2020
- [j15]Qi Lei, Ting Li:
Semi-Supervised Selective Affinity Propagation Ensemble Clustering With Active Constraints. IEEE Access 8: 46255-46266 (2020) - [j14]Qi Lei, Fengmei Guo:
Assessment of Coke Oven Operating State Using Trend Analysis and Information Entropy. J. Adv. Comput. Intell. Intell. Informatics 24(2): 221-231 (2020) - [c27]Jiacheng Zhuo, Qi Lei, Alex Dimakis, Constantine Caramanis:
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls. AISTATS 2020: 1464-1474 - [c26]Qi Lei, Jason D. Lee, Alex Dimakis, Constantinos Daskalakis:
SGD Learns One-Layer Networks in WGANs. ICML 2020: 5799-5808 - [c25]Xiao Wang, Qi Lei, Ioannis Panageas:
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev. NeurIPS 2020 - [c24]Qi Lei, Chao Li, Kexin Qiao, Zhe Ma, Bo Yang:
VGG-based side channel attack on RSA implementation. TrustCom 2020: 1157-1161 - [i20]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 abs/2002.06768 (2020) - [i19]Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh:
CAT: Customized Adversarial Training for Improved Robustness. CoRR abs/2002.06789 (2020) - [i18]Simon S. Du, Wei Hu, Sham M. Kakade, Jason D. Lee, Qi Lei:
Few-Shot Learning via Learning the Representation, Provably. CoRR abs/2002.09434 (2020) - [i17]Jay Whang, Qi Lei, Alexandros G. Dimakis:
Compressed Sensing with Invertible Generative Models and Dependent Noise. CoRR abs/2003.08089 (2020) - [i16]Lemeng Wu, Mao Ye, Qi Lei, Jason D. Lee, Qiang Liu:
Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting. CoRR abs/2003.10392 (2020) - [i15]Jason D. Lee, Qi Lei, Nikunj Saunshi, Jiacheng Zhuo:
Predicting What You Already Know Helps: Provable Self-Supervised Learning. CoRR abs/2008.01064 (2020) - [i14]Xiao Wang, Qi Lei, Ioannis Panageas:
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev. CoRR abs/2010.05263 (2020)
2010 – 2019
- 2019
- [j13]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: 25053-25062 (2019) - [j12]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: 74909-74924 (2019) - [j11]Tao Shang, Ranyiliu Chen, Qi Lei:
Quantum Random Oracle Model for Quantum Public-Key Encryption. IEEE Access 7: 130024-130031 (2019) - [j10]Qi Lei, Di Zhu:
Real-Time Performance Evaluation of the Combustion Process of Coke Oven. J. Adv. Comput. Intell. Intell. Informatics 23(4): 791-799 (2019) - [c23]Qi Lei, Ting Li:
Selective Affinity Propagation Ensemble Clustering. CCTA 2019: 952-957 - [c22]Qi Lei, Jinfeng Yi, Roman Vaculín, Lingfei Wu, Inderjit S. Dhillon:
Similarity Preserving Representation Learning for Time Series Clustering. IJCAI 2019: 2845-2851 - [c21]Qi Lei, Lingfei Wu, Pin-Yu Chen, Alex Dimakis, Inderjit S. Dhillon, Michael Witbrock:
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification. SysML 2019 - [c20]Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis:
Primal-Dual Block Generalized Frank-Wolfe. NeurIPS 2019: 13866-13875 - [c19]Qi Lei, Ajil Jalal, Inderjit S. Dhillon, Alexandros G. Dimakis:
Inverting Deep Generative models, One layer at a time. NeurIPS 2019: 13910-13919 - [c18]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: 55-63 - [i13]Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis:
Primal-Dual Block Frank-Wolfe. CoRR abs/1906.02436 (2019) - [i12]Qi Lei, Ajil Jalal, Inderjit S. Dhillon, Alexandros G. Dimakis:
Inverting Deep Generative models, One layer at a time. CoRR abs/1906.07437 (2019) - [i11]Qi Lei, Jason D. Lee, Alexandros G. Dimakis, Constantinos Daskalakis:
SGD Learns One-Layer Networks in WGANs. CoRR abs/1910.07030 (2019) - [i10]Jiacheng Zhuo, Qi Lei, Alexandros G. Dimakis, Constantine Caramanis:
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls. CoRR abs/1910.07703 (2019) - 2018
- [j9]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): 5437-5456 (2018) - [c17]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: 793-802 - [c16]Jinfeng Yi, Qi Lei, Junchi Yan, Wei Sun:
Session Expert: a Lightweight Conference Session Recommender System. IEEE BigData 2018: 1677-1682 - [c15]Jiong Zhang, Qi Lei, Inderjit S. Dhillon:
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization. ICML 2018: 5801-5809 - [c14]Zhewei Yao, Amir Gholami, Qi Lei, Kurt Keutzer, Michael W. Mahoney:
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries. NeurIPS 2018: 4954-4964 - [i9]Zhewei Yao, Amir Gholami, Qi Lei, Kurt Keutzer, Michael W. Mahoney:
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries. CoRR abs/1802.08241 (2018) - [i8]Jiong Zhang, Qi Lei, Inderjit S. Dhillon:
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization. CoRR abs/1803.09327 (2018) - [i7]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 abs/1809.05259 (2018) - [i6]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 abs/1812.00151 (2018) - 2017
- [c13]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: 186-191 - [c12]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: 1883-1887 - [c11]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: 2034-2042 - [c10]Rashish Tandon, Qi Lei, Alexandros G. Dimakis, Nikos Karampatziakis:
Gradient Coding: Avoiding Stragglers in Distributed Learning. ICML 2017: 3368-3376 - [c9]Jie Wang, Jianqiao Liu, Jian Li, Jian Zhang, Qi Lei:
Design and Implementation of Medical Data Management System. ICPCSEE (1) 2017: 674-688 - [c8]Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei, Inderjit S. Dhillon:
A Greedy Approach for Budgeted Maximum Inner Product Search. NIPS 2017: 5453-5462 - [i5]Qi Lei, Jinfeng Yi, Roman Vaculín, Lingfei Wu, Inderjit S. Dhillon:
Similarity Preserving Representation Learning for Time Series Analysis. CoRR abs/1702.03584 (2017) - [i4]Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu:
Negative-Unlabeled Tensor Factorization for Location Category Inference from Inaccurate Mobility Data. CoRR abs/1702.06362 (2017) - 2016
- [j8]Qi Lei, Huiping Yu, Min Wu, Jinhua She:
Modeling of complex industrial process based on active semi-supervised clustering. Eng. Appl. Artif. Intell. 56: 131-141 (2016) - [j7]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): 1035-1043 (2016) - [j6]Qi Lei, Hong Wang, Yuchuan Song:
Hybrid knowledge model of process planning and its green extension. J. Intell. Manuf. 27(5): 975-990 (2016) - [j5]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): 5571-5584 (2016) - [c7]Qi Lei, Kai Zhong, Inderjit S. Dhillon:
Coordinate-wise Power Method. NIPS 2016: 2056-2064 - [c6]Tao Shang, Tianli Peng, Qi Lei, Jianwei Liu:
Homomorphic Signature for Generation-based Network Coding. SmartCloud 2016: 269-273 - [i3]Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei, Inderjit S. Dhillon:
A Greedy Approach for Budgeted Maximum Inner Product Search. CoRR abs/1610.03317 (2016) - [i2]Rashish Tandon, Qi Lei, Alexandros G. Dimakis, Nikos Karampatziakis:
Gradient Coding. CoRR abs/1612.03301 (2016) - 2015
- [j4]Jiazhou Chen, Qi Lei, Yongwei Miao, Qunsheng Peng:
Vectorization of line drawing image based on junction analysis. Sci. China Inf. Sci. 58(7): 1-14 (2015) - [j3]Hui Yan, Qi Lei, Min Wu:
A Hierarchical Experimental Simulation Platform of Coking Production. J. Adv. Comput. Intell. Intell. Informatics 19(2): 232-238 (2015) - [j2]Qi Lei, Min Wu, Jin-Hua She:
Online Optimization of Fuzzy Controller for Coke-Oven Combustion Process Based on Dynamic Just-in-Time Learning. IEEE Trans Autom. Sci. Eng. 12(4): 1535-1540 (2015) - [c5]Pan Yu, Min Wu, Jinhua She, Qi Lei:
Two-dimensional robust modified repetitive control for uncertain systems with disturbances. ASCC 2015: 1-6 - [c4]