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Wenlin Chen
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
- 2024
- [j10]Wenlin Chen
, Shuai Wang, Chong Jiang, Siyu Wang
, Lina Hao
:
Research on Explainability Methods for Unmanned Combat Decision-Making Models. IEEE Access 12: 83502-83512 (2024) - [c25]Wen Wu, Wenlin Chen, Chao Zhang, Philip C. Woodland:
Modelling Variability in Human Annotator Simulation. ACL (Findings) 2024: 1139-1157 - [i16]Wenlin Chen, Mingtian Zhang, Brooks Paige, José Miguel Hernández-Lobato, David Barber:
Diffusive Gibbs Sampling. CoRR abs/2402.03008 (2024) - [i15]Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Daifeng Guo, Yanli Zhao, Shen Li, Yuchen Hao, Yantao Yao, Guna Lakshminarayanan, Ellie Dingqiao Wen, Jongsoo Park, Maxim Naumov, Wenlin Chen:
Wukong: Towards a Scaling Law for Large-Scale Recommendation. CoRR abs/2403.02545 (2024) - 2023
- [c24]Xuewei Wang, Qiang Jin, Shengyu Huang, Min Zhang, Xi Liu, Zhengli Zhao, Yukun Chen, Zhengyu Zhang, Jiyan Yang, Ellie Wen, Sagar Chordia, Wenlin Chen, Qin Huang:
Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking. AdKDD@KDD 2023 - [c23]Kexin Zhang
, Hui Xia
, Zhuoyao Chen
, Wenlin Chen
:
Research on the impact of influencers on audiences' intention to follow. ICEME 2023: 96-100 - [c22]Wenlin Chen, Austin Tripp, José Miguel Hernández-Lobato:
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction. ICLR 2023 - [i14]Wenlin Chen, Hong Ge:
Neural Characteristic Activation Value Analysis for Improved ReLU Network Feature Learning. CoRR abs/2305.15912 (2023) - [i13]Wenlin Chen, Julien Horwood, Juyeon Heo, José Miguel Hernández-Lobato:
Leveraging Task Structures for Improved Identifiability in Neural Network Representations. CoRR abs/2306.14861 (2023) - [i12]Xuewei Wang, Qiang Jin, Shengyu Huang, Min Zhang, Xi Liu, Zhengli Zhao, Yukun Chen, Zhengyu Zhang, Jiyan Yang, Ellie Wen, Sagar Chordia, Wenlin Chen, Qin Huang:
Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking. CoRR abs/2307.11096 (2023) - [i11]Wen Wu, Wenlin Chen, Chao Zhang, Philip C. Woodland:
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation. CoRR abs/2310.00486 (2023) - 2022
- [j9]Wenlin Chen
, Fang Lu
, Yan Dong
:
A Homomorphism Transform Based Analysis of Sparse Random Linear Network Coding Over Erasure Channels. IEEE Commun. Lett. 26(9): 2009-2013 (2022) - [j8]Wenlin Chen
, Samuel Horváth, Peter Richtárik:
Optimal Client Sampling for Federated Learning. Trans. Mach. Learn. Res. 2022 (2022) - [i10]Wenlin Chen, Austin Tripp
, José Miguel Hernández-Lobato:
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction. CoRR abs/2205.02708 (2022) - 2021
- [j7]Wenlin Chen
, Fang Lu
, Yan Dong
:
Improved Expression for Rank Distribution of Sparse Random Linear Network Coding. IEEE Commun. Lett. 25(5): 1472-1476 (2021) - [j6]Ruimin Cao, Lihui Wang, Lina Hao
, Wenlin Chen, Junxiang Deng:
A Decision-Making Framework of Hybrid System Based on Modified Hybrid Stochastic Timed Petri Net and Deep Learning. IEEE Syst. J. 15(2): 1804-1814 (2021) - [c21]Yuan Yuan, Wenlin Chen, Lin Chen:
Information Design to Motivate Users to Comply With Barrage Etiquette on Video Website: Evidence from a Discrete Choice Experiment. IMMS 2021: 292-295 - [c20]Wenlin Chen, Tianhua Ma, Ying Zhang, Lina Hao, Shuopeng Wang, Meng Liu, Rixin Wang:
Experimental Study on Dynamic Characteristics and Fatigue of McKibben Pneumatic Artificial Muscles. RCAR 2021: 223-226 - [i9]Wenlin Chen, Fang Lu, Yan Dong:
Exact Decoding Probability of Sparse Random Linear Network Coding for Reliable Multicast. CoRR abs/2108.11659 (2021) - 2020
- [j5]Ying Zhang
, Wenlin Chen
, Jie Chen
, Qiang Cheng
, Haikuan Zhang
, Chaoqun Xiang
, Lina Hao
:
Stiffness Analysis of a Pneumatic Soft Manipulator Based on Bending Shape Prediction. IEEE Access 8: 82227-82241 (2020) - [j4]Wenlin Chen
, Chung-Li Tseng
, Shu-Jung Sunny Yang
:
Improving Hand Hygiene Process Compliance Through Process Monitoring in Healthcare. Manuf. Serv. Oper. Manag. 22(4): 669-682 (2020) - [c19]Andrew M. Webb, Charles Reynolds, Wenlin Chen, Henry W. J. Reeve, Dan-Andrei Iliescu, Mikel Luján, Gavin Brown:
To Ensemble or Not Ensemble: When Does End-to-End Training Fail? ECML/PKDD (3) 2020: 109-123 - [i8]Wenlin Chen, Fang Lu, Yan Dong:
The Decoding Success Probability of Sparse Random Linear Network Coding for Multicast. CoRR abs/2010.05555 (2020) - [i7]Wenlin Chen, Samuel Horváth
, Peter Richtárik
:
Optimal Client Sampling for Federated Learning. CoRR abs/2010.13723 (2020)
2010 – 2019
- 2019
- [j3]Wenlin Chen
, Fang Lu
, Yan Dong:
The Rank Distribution of Sparse Random Linear Network Coding. IEEE Access 7: 43806-43819 (2019) - [c18]Hongshuai Liu
, Wenlin Chen, Jiaming Chen, Lina Hao:
Nonlinear identification of IPMC actuators employing RFNN-NARX model and Particle Swarm Optimization. ROBIO 2019: 2214-2219 - [i6]Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi, Jianyu Huang, Narayanan Sundaraman, Jongsoo Park, Xiaodong Wang, Udit Gupta, Carole-Jean Wu, Alisson G. Azzolini, Dmytro Dzhulgakov, Andrey Mallevich, Ilia Cherniavskii, Yinghai Lu, Raghuraman Krishnamoorthi, Ansha Yu, Volodymyr Kondratenko, Stephanie Pereira, Xianjie Chen, Wenlin Chen, Vijay Rao, Bill Jia, Liang Xiong, Misha Smelyanskiy:
Deep Learning Recommendation Model for Personalization and Recommendation Systems. CoRR abs/1906.00091 (2019) - 2016
- [c17]Wenlin Chen, David Grangier, Michael Auli:
Strategies for Training Large Vocabulary Neural Language Models. ACL (1) 2016 - [c16]Wenlin Chen, James T. Wilson
, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen:
Compressing Convolutional Neural Networks in the Frequency Domain. KDD 2016: 1475-1484 - [c15]Wenlin Wang, Changyou Chen, Wenlin Chen, Piyush Rai, Lawrence Carin
:
Deep Metric Learning with Data Summarization. ECML/PKDD (1) 2016: 777-794 - [i5]Zhicheng Cui, Wenlin Chen, Yixin Chen:
Multi-Scale Convolutional Neural Networks for Time Series Classification. CoRR abs/1603.06995 (2016) - 2015
- [j2]Wenlin Chen, Yixin Chen, David K. Levine:
A unifying learning framework for building artificial game-playing agents. Ann. Math. Artif. Intell. 73(3-4): 335-358 (2015) - [j1]Yujie He, Yi Mao, Wenlin Chen, Yixin Chen:
Nonlinear Metric Learning with Kernel Density Estimation. IEEE Trans. Knowl. Data Eng. 27(6): 1602-1614 (2015) - [c14]Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardner, Kilian Q. Weinberger, Yixin Chen:
A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing. AAAI 2015: 3210-3216 - [c13]Wenlin Chen, Yixin Chen, Kilian Q. Weinberger:
Filtered Search for Submodular Maximization with Controllable Approximation Bounds. AISTATS 2015 - [c12]Yuan Wang, Wenlin Chen, Kevin M. Heard, Marin Kollef, Thomas C. Bailey, Zhicheng Cui, Yujie He, Chenyang Lu, Yixin Chen:
Mortality Prediction in ICUs Using A Novel Time-Slicing Cox Regression Method. AMIA 2015 - [c11]Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen:
Compressing Neural Networks with the Hashing Trick. ICML 2015: 2285-2294 - [c10]Zhicheng Cui, Wenlin Chen, Yujie He, Yixin Chen:
Optimal Action Extraction for Random Forests and Boosted Trees. KDD 2015: 179-188 - [c9]Gustavo Malkomes, Matt J. Kusner, Wenlin Chen, Kilian Q. Weinberger, Benjamin Moseley:
Fast Distributed k-Center Clustering with Outliers on Massive Data. NIPS 2015: 1063-1071 - [i4]Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen:
Compressing Neural Networks with the Hashing Trick. CoRR abs/1504.04788 (2015) - [i3]Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen:
Compressing Convolutional Neural Networks. CoRR abs/1506.04449 (2015) - [i2]Wenlin Chen, David Grangier, Michael Auli:
Strategies for Training Large Vocabulary Neural Language Models. CoRR abs/1512.04906 (2015) - 2014
- [c8]Matt J. Kusner, Wenlin Chen, Quan Zhou, Zhixiang Eddie Xu, Kilian Q. Weinberger, Yixin Chen:
Feature-Cost Sensitive Learning with Submodular Trees of Classifiers. AAAI 2014: 1939-1945 - [c7]Wenlin Chen, Yixin Chen, Kilian Q. Weinberger:
Fast flux discriminant for large-scale sparse nonlinear classification. KDD 2014: 621-630 - [i1]Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardner, Kilian Q. Weinberger, Yixin Chen:
A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing. CoRR abs/1409.1976 (2014) - 2013
- [c6]Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Qiang Lu, Xiaoping Chen:
Goal-Oriented Euclidean Heuristics with Manifold Learning. AAAI 2013: 173-179 - [c5]Qiang Lu, Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Xiaoping Chen:
Utilizing Landmarks in Euclidean Heuristics for Optimal Planning. AAAI (Late-Breaking Developments) 2013 - [c4]Yujie He, Wenlin Chen, Yixin Chen, Yi Mao:
Kernel Density Metric Learning. ICDM 2013: 271-280 - [c3]Wenlin Chen, Kilian Q. Weinberger, Yixin Chen:
Maximum Variance Correction with Application to A* Search. ICML (1) 2013: 302-310 - [c2]Wenlin Chen, Yixin Chen, Yi Mao, Baolong Guo:
Density-based logistic regression. KDD 2013: 140-148 - 2012
- [c1]Yi Mao, Wenlin Chen, Yixin Chen, Chenyang Lu, Marin Kollef, Thomas C. Bailey:
An integrated data mining approach to real-time clinical monitoring and deterioration warning. KDD 2012: 1140-1148
Coauthor Index
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