Wenlin Chen

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 31

Top Topics

Data Summarization

Kernel Density Estimation

Gaussian Process

Top Venues

IEEE Commun. Lett.

Publications

Wenlin Chen, Shuai Wang, Chong Jiang, Siyu Wang, Lina Hao
Research on Explainability Methods for Unmanned Combat Decision-Making Models. IEEE Access 12 (2024)
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 (2024)
Wen Wu, Wenlin Chen, Chao Zhang, Philip C. Woodland
Modelling Variability in Human Annotator Simulation. ACL (Findings) (2024)
Wenlin Chen, Mingtian Zhang, Brooks Paige, José Miguel Hernández-Lobato, David Barber
Diffusive Gibbs Sampling. CoRR (2024)
Wenlin Chen, Hong Ge
Neural Characteristic Activation Value Analysis for Improved ReLU Network Feature Learning. CoRR (2023)
Kexin Zhang, Hui Xia, Zhuoyao Chen, Wenlin Chen
Research on the impact of influencers on audiences' intention to follow. ICEME (2023)
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 (2023)
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)
Wenlin Chen, Julien Horwood, Juyeon Heo, José Miguel Hernández-Lobato
Leveraging Task Structures for Improved Identifiability in Neural Network Representations. CoRR (2023)
Wen Wu, Wenlin Chen, Chao Zhang, Philip C. Woodland
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation. CoRR (2023)
Wenlin Chen, Austin Tripp, José Miguel Hernández-Lobato
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction. ICLR (2023)
Wenlin Chen, Samuel Horváth, Peter Richtárik
Optimal Client Sampling for Federated Learning. Trans. Mach. Learn. Res. 2022 (2022)
Wenlin Chen, Austin Tripp, José Miguel Hernández-Lobato
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction. CoRR (2022)
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) (2022)
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) (2021)
Wenlin Chen, Fang Lu, Yan Dong
Improved Expression for Rank Distribution of Sparse Random Linear Network Coding. IEEE Commun. Lett. 25 (5) (2021)
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)
Wenlin Chen, Fang Lu, Yan Dong
Exact Decoding Probability of Sparse Random Linear Network Coding for Reliable Multicast. CoRR (2021)
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)
Wenlin Chen, Samuel Horvath, Peter Richtárik
Optimal Client Sampling for Federated Learning. CoRR (2020)
Wenlin Chen, Fang Lu, Yan Dong
The Decoding Success Probability of Sparse Random Linear Network Coding for Multicast. CoRR (2020)
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 (2020)
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)
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) (2020)
Hongshuai Liu, Wenlin Chen, Jiaming Chen, Lina Hao
Nonlinear identification of IPMC actuators employing RFNN-NARX model and Particle Swarm Optimization. ROBIO (2019)
Wenlin Chen, Fang Lu, Yan Dong
The Rank Distribution of Sparse Random Linear Network Coding. IEEE Access 7 (2019)
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 (2019)
Wenlin Chen, David Grangier, Michael Auli
Strategies for Training Large Vocabulary Neural Language Models. ACL (1) (2016)
Wenlin Wang, Changyou Chen, Wenlin Chen, Piyush Rai, Lawrence Carin
Deep Metric Learning with Data Summarization. ECML/PKDD (1) (2016)
Zhicheng Cui, Wenlin Chen, Yixin Chen
Multi-Scale Convolutional Neural Networks for Time Series Classification. CoRR (2016)
Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
Compressing Convolutional Neural Networks in the Frequency Domain. KDD (2016)
Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
Compressing Neural Networks with the Hashing Trick. ICML (2015)
Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
Compressing Neural Networks with the Hashing Trick. CoRR (2015)
Gustavo Malkomes, Matt J. Kusner, Wenlin Chen, Kilian Q. Weinberger, Benjamin Moseley
Fast Distributed k-Center Clustering with Outliers on Massive Data. NIPS (2015)
Wenlin Chen, David Grangier, Michael Auli
Strategies for Training Large Vocabulary Neural Language Models. CoRR (2015)
Zhicheng Cui, Wenlin Chen, Yujie He, Yixin Chen
Optimal Action Extraction for Random Forests and Boosted Trees. KDD (2015)
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)
Wenlin Chen, Yixin Chen, David K. Levine
A unifying learning framework for building artificial game-playing agents. Ann. Math. Artif. Intell. 73 (3-4) (2015)
Wenlin Chen, Yixin Chen, Kilian Q. Weinberger
Filtered Search for Submodular Maximization with Controllable Approximation Bounds. AISTATS (2015)
Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
Compressing Convolutional Neural Networks. CoRR (2015)
Yujie He, Yi Mao, Wenlin Chen, Yixin Chen
Nonlinear Metric Learning with Kernel Density Estimation. IEEE Trans. Knowl. Data Eng. 27 (6) (2015)
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)
Wenlin Chen, Yixin Chen, Kilian Q. Weinberger
Fast flux discriminant for large-scale sparse nonlinear classification. KDD (2014)
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)
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 (2014)
Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Qiang Lu, Xiaoping Chen
Goal-Oriented Euclidean Heuristics with Manifold Learning. AAAI (2013)
Yujie He, Wenlin Chen, Yixin Chen, Yi Mao
Kernel Density Metric Learning. ICDM (2013)
Wenlin Chen, Yixin Chen, Yi Mao, Baolong Guo
Density-based logistic regression. KDD (2013)
Qiang Lu, Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Xiaoping Chen
Utilizing Landmarks in Euclidean Heuristics for Optimal Planning. AAAI (Late-Breaking Developments) (2013)
Wenlin Chen, Kilian Q. Weinberger, Yixin Chen
Maximum Variance Correction with Application to A* Search. ICML (1) (2013)
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)