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Lang Liu
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2020 – today
- 2024
- [j12]Lang Liu, Ying Zheng, Shaojun Liang:
Variable-Wise Stacked Temporal Autoencoder for Intelligent Fault Diagnosis of Industrial Systems. IEEE Trans. Ind. Informatics 20(5): 7545-7555 (2024) - [c17]Lang Liu, Zaïd Harchaoui:
The Rao, Wald, And Likelihood-Ratio Tests under Generalized Self-Concordance. ICASSP 2024: 9776-9780 - [i9]Lang Liu, Ronak Mehta, Soumik Pal, Zaïd Harchaoui:
The Benefits of Balance: From Information Projections to Variance Reduction. CoRR abs/2408.15065 (2024) - 2023
- [j11]Qiaoqin Li, Yongguo Liu, Jiajing Zhu, Zhi Chen, Lang Liu, Shangming Yang, Juan Li, Rongjiang Jin, Jing Tao, Lidian Chen:
A motion recognition model for upper-limb rehabilitation exercises. J. Ambient Intell. Humaniz. Comput. 14(12): 16795-16805 (2023) - [j10]Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui:
MAUVE Scores for Generative Models: Theory and Practice. J. Mach. Learn. Res. 24: 356:1-356:92 (2023) - [j9]Xu Wang, Guoliang Zhang, Yongguang Li, Hu Kong, Lang Liu, Cheng Zhang:
Field Measurements of Wind-Induced Responses of the Shanghai World Financial Center during Super Typhoon Lekima. Sensors 23(14): 6519 (2023) - [c16]Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zaïd Harchaoui:
Influence Diagnostics under Self-concordance. AISTATS 2023: 10028-10076 - [c15]Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaïd Harchaoui:
Stochastic Optimization for Spectral Risk Measures. AISTATS 2023: 10112-10159 - [c14]Mingtong Huang, Junxiang Ren, Lang Liu, Ruilin Song, Wenbo Yin:
CPIC at SemEval-2023 Task 7: GPT2-Based Model for Multi-evidence Natural Language Inference for Clinical Trial Data. SemEval@ACL 2023: 397-401 - 2022
- [j8]Guangyou Yang, Yuan Cheng, Chenbo Xi, Lang Liu, Xiong Gan:
Combine Harvester Bearing Fault-Diagnosis Method Based on SDAE-RCmvMSE. Entropy 24(8): 1139 (2022) - [j7]Lang Liu, Mahdi Milani Fard, Sen Zhao:
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks. Trans. Mach. Learn. Res. 2022 (2022) - [c13]Lang Liu, Soumik Pal, Zaïd Harchaoui:
Entropy Regularized Optimal Transport Independence Criterion. AISTATS 2022: 11247-11279 - [c12]Lang Liu, Carlos Cinelli, Zaïd Harchaoui:
Orthogonal Statistical Learning with Self-Concordant Loss. COLT 2022: 5253-5277 - [c11]Lang Liu, Yuejiao Wu, Lujun Yin, Junxiang Ren, Ruiling Song, Guoqiang Xu:
A Method Combining Text Classification and Keyword Recognition to Improve Long Text Information Mining. DSC 2022: 242-248 - [c10]Lang Liu, Junxiang Ren, Yuejiao Wu, Ruilin Song, Zhen Cheng, Sibo Wang:
A Pre-trained Language Model for Medical Question Answering Based on Domain Adaption. NLPCC (2) 2022: 216-227 - [c9]Wenbo Yin, Junxiang Ren, Yuejiao Wu, Ruilin Song, Lang Liu, Zhen Cheng, Sibo Wang:
Knowledge Enhanced Pre-trained Language Model for Product Summarization. NLPCC (2) 2022: 263-273 - [c8]Yong Zhu, Lang Liu:
Difference between Artificial Intelligence of the Internet of Things and the Traditional Internet. WAC 2022: 287-291 - [i8]Lang Liu, Mahdi Milani Fard, Sen Zhao:
Distribution Embedding Networks for Meta-Learning with Heterogeneous Covariate Spaces. CoRR abs/2202.01940 (2022) - [i7]Lang Liu, Carlos Cinelli, Zaïd Harchaoui:
Orthogonal Statistical Learning with Self-Concordant Loss. CoRR abs/2205.00350 (2022) - [i6]Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zaïd Harchaoui:
Statistical and Computational Guarantees for Influence Diagnostics. CoRR abs/2212.04014 (2022) - [i5]Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaïd Harchaoui:
Stochastic Optimization for Spectral Risk Measures. CoRR abs/2212.05149 (2022) - [i4]Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui:
MAUVE Scores for Generative Models: Theory and Practice. CoRR abs/2212.14578 (2022) - 2021
- [j6]Chenbo Xi, Guangyou Yang, Lang Liu, Hongyuan Jiang, Xuehai Chen:
A Refined Composite Multivariate Multiscale Fluctuation Dispersion Entropy and Its Application to Multivariate Signal of Rotating Machinery. Entropy 23(1): 128 (2021) - [c7]Lang Liu, Joseph Salmon, Zaïd Harchaoui:
Score-Based Change Detection For Gradient-Based Learning Machines. ICASSP 2021: 4990-4994 - [c6]Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaïd Harchaoui:
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals. NeurIPS 2021: 12930-12942 - [c5]Zilong Xu, Lang Liu, Yong Zhu:
Design and Research of Network Database System Based on Deep Learning Technology. SPIoT (1) 2021: 631-638 - [i3]Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaïd Harchaoui:
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral. CoRR abs/2106.07898 (2021) - [i2]Lang Liu, Joseph Salmon, Zaïd Harchaoui:
Score-Based Change Detection for Gradient-Based Learning Machines. CoRR abs/2106.14122 (2021) - [i1]Lang Liu, Soumik Pal, Zaïd Harchaoui:
Entropy Regularized Optimal Transport Independence Criterion. CoRR abs/2112.15265 (2021)
2010 – 2019
- 2019
- [j5]Shasha Deng, Huoming Shen, Lang Liu, Huaiping Tang:
Numerical investigation of the drag force for cross-sea bridge based on the two-way fluid-structure interaction. Clust. Comput. 22(Supplement): 5041-5053 (2019) - 2018
- [j4]Lei Xi, Lang Liu, Yuehua Huang, Yanchun Xu, Yunning Zhang:
Research on Hierarchical and Distributed Control for Smart Generation Based on Virtual Wolf Pack Strategy. Complex. 2018: 2782314:1-2782314:14 (2018) - [j3]Yan Peng, Maomao Wang, Xiaoxia Wu, Fu Wang, Lang Liu:
Methionine-Capped Gold Nanoclusters as a Fluorescence-Enhanced Probe for Cadmium(II) Sensing. Sensors 18(2): 658 (2018) - [c4]Jianwen Xiang, Lang Liu, Ming Yang, Siwei Zhou, Luyao Ye, Caisheng Weng, Dongdong Zhao, Jing Tian:
Crane: A Tool for Reliability Analysis with Different Coverage Models. LADC 2018: 171-174 - 2017
- [c3]Lang Liu, Yacong Gu, Qi Li, Purui Su:
RealDroid: Large-Scale Evasive Malware Detection on "Real Devices". ICCCN 2017: 1-8 - 2016
- [j2]Lang Liu, Xuehua Sun, Ki-Il Song:
Analysis on the Man-Machine-Environment Collaborative Teaching Method for Mining Engineering Major. Int. J. Emerg. Technol. Learn. 11(10): 42-46 (2016) - [j1]Zhongqiang Chen, Lang Liu, Xueyuan Qi, Junjun Geng:
Digital Mining Technology-Based Teaching Mode for Mining Engineering. Int. J. Emerg. Technol. Learn. 11(10): 47-52 (2016) - 2015
- [c2]Lang Liu, Shaoqiu Zheng, Ying Tan:
S-metric based multi-objective fireworks algorithm. CEC 2015: 1257-1264 - 2014
- [c1]Shaoqiu Zheng, Lang Liu, Chao Yu, Junzhi Li, Ying Tan:
Fireworks Algorithm and Its Variants for Solving ICSI2014 Competition Problems. ICSI (2) 2014: 442-451
Coauthor Index
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last updated on 2024-09-30 00:04 CEST by the dblp team
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