Wenlin Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
11
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISCA | LoKA: Low-Precision Kernel Applications for Recommendation Models at Scale. | Liang Luo, Yinbin Ma, Quanyu Zhu, Vasiliy Kuznetsov, Yuxin Chen, Jian Jiao, Jiecao Yu, Buyun Zhang, Tongyi Tang, Xiaohan Wei, Yanli Zhao, Zeliang Chen, Yuchen Hao, Venkatesh Ranganathan, Sandeep Parab, Yantao Yao, Maxim Naumov, Chunzhi Yang, Shen Li, Ellie Wen, Wenlin Chen, Chunqiang Tang |
| 2026 | KDD | Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations. | 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 |
| 2026 | SIGIR | SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling. | Zikun Liu, Liang Luo, Qianru Li, Zhengyu Zhang, Wei Ling, Jingyi Shen, Zeliang Chen, Yaning Huang, Jingxian Huang, Abdallah Aboelela, Chonglin Sun, Feifan Gu, Fenggang Wu, Hang Qu, Huayu Li, Jill Pan, Kaidi Pei, Laming Chen, Longhao Jin, Qin Huang, Tongyi Tang, Varna Puvvada, Wenlin Chen, Xiaohan Wei, Xu Cao, Yantao Yao, Yuan Jin, Yunchen Pu, Yuxin Chen, Zijian Shen, Zhengkai Zhang, Dong Liang, Ellie Wen |
| 2025 | AISTATS | Training Neural Samplers with Reverse Diffusive KL Divergence. | Jiajun He, Wenlin Chen, Mingtian Zhang, David Barber, Jos Miguel Hernndez-Lobato |
| 2025 | ICML | Progressive Tempering Sampler with Diffusion. | Severi Rissanen, Ruikang Ouyang, Jiajun He, Wenlin Chen, Markus Heinonen, Arno Solin, Jos Miguel Hernndez-Lobato |
| 2025 | WWW | External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. | 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 |
| 2024 | ACL | Modelling Variability in Human Annotator Simulation. | Wen Wu, Wenlin Chen, Chao Zhang, Philip C. Woodland |
| 2024 | ICML | Diffusive Gibbs Sampling. | Wenlin Chen, Mingtian Zhang, Brooks Paige, Jos Miguel Hernndez-Lobato, David Barber |
| 2024 | ICML | Wukong: Towards a Scaling Law for Large-Scale Recommendation. | 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 |
| 2023 | ICLR | Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction. | Wenlin Chen, Austin Tripp, Jos Miguel Hernndez-Lobato |
| 2016 | ACL | Strategies for Training Large Vocabulary Neural Language Models. | Wenlin Chen, David Grangier, Michael Auli |
| 2016 | KDD | Compressing Convolutional Neural Networks in the Frequency Domain. | Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen |
| 2015 | AAAI | A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing. | Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardner, Kilian Q. Weinberger, Yixin Chen |
| 2015 | AISTATS | Filtered Search for Submodular Maximization with Controllable Approximation Bounds. | Wenlin Chen, Yixin Chen, Kilian Q. Weinberger |
| 2015 | AMIA | Mortality Prediction in ICUs Using A Novel Time-Slicing Cox Regression Method. | Yuan Wang, Wenlin Chen, Kevin M. Heard, Marin Kollef, Thomas C. Bailey, Zhicheng Cui, Yujie He, Chenyang Lu, Yixin Chen |
| 2015 | ICML | Compressing Neural Networks with the Hashing Trick. | Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen |
| 2015 | KDD | Optimal Action Extraction for Random Forests and Boosted Trees. | Zhicheng Cui, Wenlin Chen, Yujie He, Yixin Chen |
| 2014 | AAAI | Feature-Cost Sensitive Learning with Submodular Trees of Classifiers. | Matt J. Kusner, Wenlin Chen, Quan Zhou, Zhixiang Eddie Xu, Kilian Q. Weinberger, Yixin Chen |
| 2014 | KDD | Fast flux discriminant for large-scale sparse nonlinear classification. | Wenlin Chen, Yixin Chen, Kilian Q. Weinberger |
| 2013 | AAAI | Goal-Oriented Euclidean Heuristics with Manifold Learning. | Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Qiang Lu, Xiaoping Chen |
| 2013 | AAAI | Utilizing Landmarks in Euclidean Heuristics for Optimal Planning. | Qiang Lu, Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Xiaoping Chen |
| 2013 | ICDM | Kernel Density Metric Learning. | Yujie He, Wenlin Chen, Yixin Chen, Yi Mao |
| 2013 | ICML | Maximum Variance Correction with Application to A* Search. | Wenlin Chen, Kilian Q. Weinberger, Yixin Chen |
| 2013 | KDD | Density-based logistic regression. | Wenlin Chen, Yixin Chen, Yi Mao, Baolong Guo |
| 2012 | KDD | An integrated data mining approach to real-time clinical monitoring and deterioration warning. | Yi Mao, Wenlin Chen, Yixin Chen, Chenyang Lu, Marin Kollef, Thomas C. Bailey |