Wenlin Chen - RankMe

72 papers A* 15A 2Misc 1Journal 38Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generative Reasoning Re-ranker. CoRR Mingfu Liang, Yufei Li, Jay Xu, Kavosh Asadi, Xi Liu, Shuo Gu, Kaushik Rangadurai, Frank Shyu, Shuaiwen Wang, Song Yang, Zhijing Li, Jiang Liu, Mengying Sun, Fei Tian, Xiaohan Wei, Chonglin Sun, Jacob Tao, Shike Mei, Wenlin Chen, Santanu Kolay, Sandeep Pandey, Hamed Firooz, Luke Simon
2026	J	`jnl`	Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture Design. CoRR Bojian Hou, Xiaolong Liu, Xiaoyi Liu, Jiaqi Xu, Yasmine Badr, Mengyue Hang, Sudhanshu Chanpuriya, Junqing Zhou, Yuhang Yang, Han Xu, Qiuling Suo, Laming Chen, Yuxi Hu, Jiasheng Zhang, Huaqing Xiong, Yuzhen Huang, Chao Chen, Yue Dong, Yi Yang, Shuo Chang, Xiaorui Gan, Wenlin Chen, Santanu Kolay, Darren Liu, Jade Nie, Chunzhi Yang, Ellie Wen, Jiyan Yang, Huayu Li
2026	—	`conf`	Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations. KDD (1) Liang Luo, Yuxin Chen, Zhengyu Zhang, Mengyue Hang, Andrew Gu, Buyun Zhang, Boyang Liu, Chen Chen, Fan Yang, Feifan Gu, Huayu Li, Jade Nie, Jiayi Xu, Jiyan Yang, Jongsoo Park, Laming Chen, Longhao Jin, Qin Huang, Shali Jiang, Shiwen Shen, Shuaiwen Wang, Siyang Yuan, Tongyi Tang, Weilin Zhang, Xi Liu, Xiaohan Wei, Yuchen Hao, Xiaozhen Xia, Yasmine Badr, ZeLiang Chen, Chengze Fan, Dong Liang, Qianru Li, Sihan Zeng, Wenjun Wang, Yunlong He, Yinbin Ma, Maxim Naumov, Yantao Yao, Wenlin Chen, Ellie Dingqiao Wen
2025	J	`jnl`	BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving. CoRR Shu Liu, Wenlin Chen, Weihao Li, Zheng Wang, Lijin Yang, Jianing Huang, Yipin Zhang, Zhongzhan Huang, Ze Cheng, Hao Yang
2025	J	`jnl`	Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases. CoRR Sherman Wong, Zhenting Qi, Zhaodong Wang, Nathan Hu, Samuel Lin, Jun Ge, Erwin Gao, Wenlin Chen, Yilun Du, Minlan Yu, Ying Zhang
2025	—	`conf`	External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. WWW (Companion Volume) Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo, Qinghai Zhou, Song Zhou, Laming Chen, Hua Zheng, Zhiyuan Li, Shali Jiang, Jiyan Yang, Xiaozhen Xia, Fan Yang, Yasmine Badr, Ellie Wen, Shuyu Xu, Hansey Chen, Zhengyu Zhang, Jade Nie, Chunzhi Yang, Zhichen Zeng, Weilin Zhang, Xingliang Huang, Qianru Li, Shiquan Wang, Evelyn Lyu, Wenjing Lu, Rui Zhang, Wenjun Wang, Jason Rudy, Mengyue Hang, Kai Wang, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li
2025	J	`jnl`	External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. CoRR Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo, Qinghai Zhou, Song Zhou, Laming Chen, Hua Zheng, Zhiyuan Li, Shali Jiang, Jiyan Yang, Xiaozhen Xia, Fan Yang, Yasmine Badr, Ellie Wen, Shuyu Xu, Hansey Chen, Zhengyu Zhang, Jade Nie, Chunzhi Yang, Zhichen Zeng, Weilin Zhang, Xingliang Huang, Qianru Li, Shiquan Wang, Evelyn Lyu, Wenjing Lu, Rui Zhang, Wenjun Wang, Jason Rudy, Mengyue Hang, Kai Wang, Yinbin Ma, Shuaiwen Wang, Sihan Zeng, Tongyi Tang, Xiaohan Wei, Longhao Jin, Jamey Zhang, Marcus Chen, Jiayi Zhang, Angie Huang, Chi Zhang, Zhengli Zhao, Jared Yang, Qiang Jin, Xian Chen, Amit Anand Amlesahwaram, Lexi Song, Liang Luo, Yuchen Hao, Nan Xiao, Yavuz Yetim, Luoshang Pan, Gaoxiang Liu, Yuxi Hu, Yuzhen Huang, Jackie Xu, Rich Zhu, Xin Zhang, Yiqun Liu, Hang Yin, Yuxin Chen, Buyun Zhang, Xiaoyi Liu, Xingyuan Wang, Wenguang Mao, Zhijing Li, Qin Huang, Chonglin Sun, Shupin Mao, Benjamin Au, Jingzheng Qin, Peggy Yao, Jae-Woo Choi, Bin Gao, Ernest Wang, Lei Zhang, Wen-Yen Chen, Ted Lee, Jay Zha, Yi Meng, Alex Gong, Edison Gao, Alireza Vahdatpour, Yiping Han, Yantao Yao, Toshinari Kureha, Shuo Chang, Musharaf Sultan, John Bocharov, Sagar Chordia, Xiaorui Gan, Peng Sun, Rocky Liu, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li
2025	J	`jnl`	Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations. CoRR Liang Luo, Yuxin Chen, Zhengyu Zhang, Mengyue Hang, Andrew Gu, Buyun Zhang, Boyang Liu, Chen Chen, Chengze Fan, Dong Liang, Fan Yang, Feifan Gu, Huayu Li, Jade Nie, Jiayi Xu, Jiyan Yang, Jongsoo Park, Laming Chen, Longhao Jin, Qianru Li, Qin Huang, Shali Jiang, Shiwen Shen, Shuaiwen Wang, Sihan Zeng, Siyang Yuan, Tongyi Tang, Weilin Zhang, Wenjun Wang, Xi Liu, Xiaohan Wei, Xiaozhen Xia, Yuchen Hao, Yunlong He, Yasmine Badr, ZeLiang Chen, Maxim Naumov, Yantao Yao, Wenlin Chen, Santanu Kolay, GP Musumeci, Ellie Dingqiao Wen
2025	A*	`conf`	Progressive Tempering Sampler with Diffusion. ICML Severi Rissanen, Ruikang Ouyang, Jiajun He, Wenlin Chen, Markus Heinonen, Arno Solin, José Miguel Hernández-Lobato
2025	J	`jnl`	Progressive Tempering Sampler with Diffusion. CoRR Severi Rissanen, Ruikang Ouyang, Jiajun He, Wenlin Chen, Markus Heinonen, Arno Solin, José Miguel Hernández-Lobato
2025	J	`jnl`	Towards Training One-Step Diffusion Models Without Distillation. CoRR Mingtian Zhang, Jiajun He, Wenlin Chen, Zijing Ou, José Miguel Hernández-Lobato, Bernhard Schölkopf, David Barber
2025	A	`conf`	Training Neural Samplers with Reverse Diffusive KL Divergence. AISTATS Jiajun He, Wenlin Chen, Mingtian Zhang, David Barber, José Miguel Hernández-Lobato
2024	A*	`conf`	Diffusive Gibbs Sampling. ICML Wenlin Chen, Mingtian Zhang, Brooks Paige, José Miguel Hernández-Lobato, David Barber
2024	J	`jnl`	Diffusive Gibbs Sampling. CoRR Wenlin Chen, Mingtian Zhang, Brooks Paige, José Miguel Hernández-Lobato, David Barber
2024	J	`jnl`	Leveraging Task Structures for Improved Identifiability in Neural Network Representations. Trans. Mach. Learn. Res. Wenlin Chen, Julien Horwood, Juyeon Heo, José Miguel Hernández-Lobato
2024	—	`conf`	Modelling Variability in Human Annotator Simulation. ACL (Findings) Wen Wu, Wenlin Chen, Chao Zhang, Philip C. Woodland
2024	A*	`conf`	Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks. NeurIPS Wenlin Chen, Hong Ge
2024	J	`jnl`	Pride or Guilt? Impacts of Consumers' Socially Influenced Recycling Behaviors on Closed-Loop Supply Chains. Manuf. Serv. Oper. Manag. Wenjie Huang, Jason Nguyen, Chung-Li Tseng, Wenlin Chen, Samuel N. Kirshner
2024	J	`jnl`	Research on Explainability Methods for Unmanned Combat Decision-Making Models. IEEE Access Wenlin Chen, Shuai Wang, Chong Jiang, Siyu Wang, Lina Hao
2024	—	`conf`	The Effect of AI-delivered Patient Education on Patients' Willingness to Participate in Hand Hygiene: The Mediating Role of Role Stress. IMMS Kexin Zhang, Roxanne B. Llamzon, Chung-Li Tseng, Wenlin Chen
2024	J	`jnl`	Training Neural Samplers with Reverse Diffusive KL Divergence. CoRR Jiajun He, Wenlin Chen, Mingtian Zhang, David Barber, José Miguel Hernández-Lobato
2024	A*	`conf`	Wukong: Towards a Scaling Law for Large-Scale Recommendation. ICML Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Shen Li, Yanli Zhao, Yuchen Hao, Yantao Yao, Ellie Dingqiao Wen, Jongsoo Park, Maxim Naumov, Wenlin Chen
2024	J	`jnl`	Wukong: Towards a Scaling Law for Large-Scale Recommendation. CoRR 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
2024	J	`jnl`	Your Image is Secretly the Last Frame of a Pseudo Video. CoRR Wenlong Chen, Wenlin Chen, Lapo Rastrelli, Yingzhen Li
2023	J	`jnl`	It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation. CoRR Wen Wu, Wenlin Chen, Chao Zhang, Philip C. Woodland
2023	J	`jnl`	Leveraging Task Structures for Improved Identifiability in Neural Network Representations. CoRR Wenlin Chen, Julien Horwood, Juyeon Heo, José Miguel Hernández-Lobato
2023	A*	`conf`	Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction. ICLR Wenlin Chen, Austin Tripp, José Miguel Hernández-Lobato
2023	J	`jnl`	Neural Characteristic Activation Value Analysis for Improved ReLU Network Feature Learning. CoRR Wenlin Chen, Hong Ge
2023	—	`conf`	Research on the impact of influencers on audiences' intention to follow. ICEME Kexin Zhang, Hui Xia, Zhuoyao Chen, Wenlin Chen
2023	—	`conf`	Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking. AdKDD@KDD 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
2023	J	`jnl`	Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking. CoRR 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
2022	J	`jnl`	A Homomorphism Transform Based Analysis of Sparse Random Linear Network Coding Over Erasure Channels. IEEE Commun. Lett. Wenlin Chen, Fang Lu, Yan Dong
2022	J	`jnl`	Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction. CoRR Wenlin Chen, Austin Tripp, José Miguel Hernández-Lobato
2022	J	`jnl`	Optimal Client Sampling for Federated Learning. Trans. Mach. Learn. Res. Wenlin Chen, Samuel Horváth, Peter Richtárik
2022	—	`conf`	Spatial pattern and factors analysis of farmland in Maonan district. Geoinformatics Yihan Zhang, Guanyi Li, Wenlin Chen, ZhengKeng Li, Dan Li, Yanling Sheng
2021	J	`jnl`	A Decision-Making Framework of Hybrid System Based on Modified Hybrid Stochastic Timed Petri Net and Deep Learning. IEEE Syst. J. Ruimin Cao, Lihui Wang, Lina Hao, Wenlin Chen, Junxiang Deng
2021	J	`jnl`	Exact Decoding Probability of Sparse Random Linear Network Coding for Reliable Multicast. CoRR Wenlin Chen, Fang Lu, Yan Dong
2021	—	`conf`	Experimental Study on Dynamic Characteristics and Fatigue of McKibben Pneumatic Artificial Muscles. RCAR Wenlin Chen, Tianhua Ma, Ying Zhang, Lina Hao, Shuopeng Wang, Meng Liu, Rixin Wang
2021	J	`jnl`	Improved Expression for Rank Distribution of Sparse Random Linear Network Coding. IEEE Commun. Lett. Wenlin Chen, Fang Lu, Yan Dong
2021	—	`conf`	Information Design to Motivate Users to Comply With Barrage Etiquette on Video Website: Evidence from a Discrete Choice Experiment. IMMS Yuan Yuan, Wenlin Chen, Lin Chen
2020	J	`jnl`	Improving Hand Hygiene Process Compliance Through Process Monitoring in Healthcare. Manuf. Serv. Oper. Manag. Wenlin Chen, Chung-Li Tseng, Shu-Jung Sunny Yang
2020	J	`jnl`	Optimal Client Sampling for Federated Learning. CoRR Wenlin Chen, Samuel Horváth, Peter Richtárik
2020	J	`jnl`	Stiffness Analysis of a Pneumatic Soft Manipulator Based on Bending Shape Prediction. IEEE Access Ying Zhang, Wenlin Chen, Jie Chen, Qiang Cheng, Haikuan Zhang, Chaoqun Xiang, Lina Hao
2020	J	`jnl`	The Decoding Success Probability of Sparse Random Linear Network Coding for Multicast. CoRR Wenlin Chen, Fang Lu, Yan Dong
2020	—	`conf`	To Ensemble or Not Ensemble: When Does End-to-End Training Fail? ECML/PKDD (3) Andrew M. Webb, Charles Reynolds, Wenlin Chen, Henry W. J. Reeve, Dan-Andrei Iliescu, Mikel Luján, Gavin Brown
2019	J	`jnl`	Deep Learning Recommendation Model for Personalization and Recommendation Systems. CoRR 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
2019	—	`conf`	Nonlinear identification of IPMC actuators employing RFNN-NARX model and Particle Swarm Optimization. ROBIO Hongshuai Liu, Wenlin Chen, Jiaming Chen, Lina Hao
2019	J	`jnl`	The Rank Distribution of Sparse Random Linear Network Coding. IEEE Access Wenlin Chen, Fang Lu, Yan Dong
2016	A*	`conf`	Compressing Convolutional Neural Networks in the Frequency Domain. KDD Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
2016	—	`conf`	Deep Metric Learning with Data Summarization. ECML/PKDD (1) Wenlin Wang, Changyou Chen, Wenlin Chen, Piyush Rai, Lawrence Carin
2016	J	`jnl`	Multi-Scale Convolutional Neural Networks for Time Series Classification. CoRR Zhicheng Cui, Wenlin Chen, Yixin Chen
2016	—	`conf`	Strategies for Training Large Vocabulary Neural Language Models. ACL (1) Wenlin Chen, David Grangier, Michael Auli
2015	A*	`conf`	A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing. AAAI Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardner, Kilian Q. Weinberger, Yixin Chen
2015	J	`jnl`	A unifying learning framework for building artificial game-playing agents. Ann. Math. Artif. Intell. Wenlin Chen, Yixin Chen, David K. Levine
2015	J	`jnl`	Compressing Convolutional Neural Networks. CoRR Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
2015	A*	`conf`	Compressing Neural Networks with the Hashing Trick. ICML Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
2015	J	`jnl`	Compressing Neural Networks with the Hashing Trick. CoRR Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
2015	—	`conf`	Fast Distributed k-Center Clustering with Outliers on Massive Data. NIPS Gustavo Malkomes, Matt J. Kusner, Wenlin Chen, Kilian Q. Weinberger, Benjamin Moseley
2015	A	`conf`	Filtered Search for Submodular Maximization with Controllable Approximation Bounds. AISTATS Wenlin Chen, Yixin Chen, Kilian Q. Weinberger
2015	Misc	`conf`	Mortality Prediction in ICUs Using A Novel Time-Slicing Cox Regression Method. AMIA Yuan Wang, Wenlin Chen, Kevin M. Heard, Marin Kollef, Thomas C. Bailey, Zhicheng Cui, Yujie He, Chenyang Lu, Yixin Chen
2015	J	`jnl`	Nonlinear Metric Learning with Kernel Density Estimation. IEEE Trans. Knowl. Data Eng. Yujie He, Yi Mao, Wenlin Chen, Yixin Chen
2015	A*	`conf`	Optimal Action Extraction for Random Forests and Boosted Trees. KDD Zhicheng Cui, Wenlin Chen, Yujie He, Yixin Chen
2015	J	`jnl`	Strategies for Training Large Vocabulary Neural Language Models. CoRR Wenlin Chen, David Grangier, Michael Auli
2014	J	`jnl`	A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing. CoRR Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardner, Kilian Q. Weinberger, Yixin Chen
2014	A*	`conf`	Fast flux discriminant for large-scale sparse nonlinear classification. KDD Wenlin Chen, Yixin Chen, Kilian Q. Weinberger
2014	A*	`conf`	Feature-Cost Sensitive Learning with Submodular Trees of Classifiers. AAAI Matt J. Kusner, Wenlin Chen, Quan Zhou, Zhixiang Eddie Xu, Kilian Q. Weinberger, Yixin Chen
2013	A*	`conf`	Density-based logistic regression. KDD Wenlin Chen, Yixin Chen, Yi Mao, Baolong Guo
2013	A*	`conf`	Goal-Oriented Euclidean Heuristics with Manifold Learning. AAAI Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Qiang Lu, Xiaoping Chen
2013	A*	`conf`	Kernel Density Metric Learning. ICDM Yujie He, Wenlin Chen, Yixin Chen, Yi Mao
2013	—	`conf`	Maximum Variance Correction with Application to A* Search. ICML (1) Wenlin Chen, Kilian Q. Weinberger, Yixin Chen
2013	—	`conf`	Utilizing Landmarks in Euclidean Heuristics for Optimal Planning. AAAI (Late-Breaking Developments) Qiang Lu, Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Xiaoping Chen
2012	A*	`conf`	An integrated data mining approach to real-time clinical monitoring and deterioration warning. KDD Yi Mao, Wenlin Chen, Yixin Chen, Chenyang Lu, Marin Kollef, Thomas C. Bailey