Min-Min Chen

Most-cited papers

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Gheorghe Comanici, E. Bieber, Mike Schaekermann, Ice Pasupat +496 more
2025arXiv.org4,448 citations
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Marginalized Denoising Autoencoders for Domain Adaptation
Min-Min Chen, Z. Xu, Kilian Q. Weinberger, F. Sha
2012International Conference on Machine Learning842 citations
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Top-K Off-Policy Correction for a REINFORCE Recommender System
Min-Min Chen, Alex Beutel, Paul Covington, Sagar Jain +2 more
2018Web Search and Data Mining584 citations Open access
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Co-Training for Domain Adaptation
Min-Min Chen, Kilian Q. Weinberger, John Blitzer
2011Neural Information Processing Systems435 citations
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AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
B. Chang, Min-Min Chen, E. Haber, Ed H. Chi
2019International Conference on Learning Representations249 citations
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Fast Image Tagging
Min-Min Chen, Alice X. Zheng, Kilian Q. Weinberger
2013International Conference on Machine Learning247 citations
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Learning with Marginalized Corrupted Features
L. van der Maaten, Min-Min Chen, Stephen Tyree, Kilian Q. Weinberger
2013International Conference on Machine Learning177 citations
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NATURAL PLAN: Benchmarking LLMs on Natural Language Planning
Huaixiu Steven Zheng, Swaroop Mishra, Hugh Zhang, Xin-Yun Chen +7 more
2024arXiv.org149 citations
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Marginalized Denoising Auto-encoders for Nonlinear Representations
Min-Min Chen, Kilian Q. Weinberger, F. Sha, Yoshua Bengio
2014International Conference on Machine Learning144 citations
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Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks
Min-Min Chen, Jeffrey Pennington, S. Schoenholz
2018International Conference on Machine Learning131 citations
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Efficient Vector Representation for Documents through Corruption
Min-Min Chen
2017International Conference on Learning Representations124 citations
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Cost-Sensitive Tree of Classifiers
Z. Xu, Matt J. Kusner, Kilian Q. Weinberger, Min-Min Chen
2012International Conference on Machine Learning122 citations
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Off-policy Learning in Two-stage Recommender Systems
Jiaqi W. Ma, Zhe Zhao, Xin-Yang Yi, Ji Yang +4 more
2020The Web Conference113 citations Open access
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Automatic Feature Decomposition for Single View Co-training
Min-Min Chen, Yi-Xin Chen, Kilian Q. Weinberger
2011International Conference on Machine Learning106 citations
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Towards Neural Mixture Recommender for Long Range Dependent User Sequences
Jiaxi Tang, Francois Belletti, Sagar Jain, Min-Min Chen +3 more
2019The Web Conference99 citations Open access
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Large Language Models as Data Augmenters for Cold-Start Item Recommendation
Jianling Wang, Haokai Lu, James Caverlee, E. Chi +1 more
2024The Web Conference91 citations Open access
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Classifier cascades and trees for minimizing feature evaluation cost
Z. Xu, Matt J. Kusner, Kilian Q. Weinberger, Min-Min Chen +1 more
2014Journal of machine learning research91 citations
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Values of User Exploration in Recommender Systems
Min-Min Chen, Yuyan Wang, Can Xu, Ya Le +4 more
2021ACM Conference on Recommender Systems84 citations Open access
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Classifier Cascade for Minimizing Feature Evaluation Cost
Min-Min Chen, Z. Xu, Kilian Q. Weinberger, O. Chapelle +1 more
2012International Conference on Artificial Intelligence and Statistics79 citations
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Surrogate for Long-Term User Experience in Recommender Systems
Yuyan Wang, Mohit Sharma, Can Xu, Sriraj Badam +5 more
2022Knowledge Discovery and Data Mining70 citations Open access
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User Response Models to Improve a REINFORCE Recommender System
Min-Min Chen, B. Chang, Can Xu, Ed H. Chi
2021Web Search and Data Mining54 citations Open access
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Off-Policy Actor-critic for Recommender Systems
Min-Min Chen, Can Xu, Vince Gatto, Devanshu Jain +2 more
2022ACM Conference on Recommender Systems50 citations Open access
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Exploration in Recommender Systems
Min-Min Chen
2021ACM Conference on Recommender Systems48 citations
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Medical Data Mining for Early Deterioration Warning in General Hospital Wards
Yi Mao, Yi-Xin Chen, Gregory Hackmann, Min-Min Chen +3 more
20112011 IEEE 11th International Conference on Data Mining Workshops48 citations
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Large Language Models for User Interest Journeys
Konstantina Christakopoulou, Alberto Lalama, Cj Adams, Iris Qu +9 more
2023arXiv.org47 citations Open access
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Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs
Dar Gilboa, B. Chang, Min-Min Chen, Greg Yang +3 more
2019arXiv.org45 citations
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Toward a two-tier clinical warning system for hospitalized patients.
Gregory Hackmann, Min-Min Chen, O. Chipara, Chen-Yang Lu +3 more
2011AMIA ... Annual Symposium proceedings. AMIA Symposium42 citations
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Marginalizing stacked linear denoising autoencoders
Min-Min Chen, Kilian Q. Weinberger, Z. Xu, F. Sha
2015Journal of machine learning research41 citations
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LLMs for User Interest Exploration in Large-scale Recommendation Systems
Jianling Wang, Hao-Kai Lu, Yifan Liu, He Ma +8 more
2024ACM Conference on Recommender Systems37 citations Open access
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EVOLvE: Evaluating and Optimizing LLMs For Exploration
Allen Nie, Yi Su, B. Chang, Jonathan N. Lee +3 more
2024arXiv.org37 citations
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Long-Term Value of Exploration: Measurements, Findings and Algorithms
Yi-Hsun Su, Xiangyu Wang, Elaine Ya Le, Liang Liu +11 more
2023Web Search and Data Mining37 citations Open access
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MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks
Min-Min Chen
2017arXiv.org35 citations
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Deconfounding User Satisfaction Estimation from Response Rate Bias
Konstantina Christakopoulou, Madeleine Traverse, Trevor Potter, Emma Marriott +4 more
2020ACM Conference on Recommender Systems32 citations Open access
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Categorical-attributes-based item classification for recommender systems
Qian Zhao, Jilin Chen, Min-Min Chen, Sagar Jain +3 more
2018ACM Conference on Recommender Systems30 citations Open access
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An alternative text representation to TF-IDF and Bag-of-Words
Z. Xu, Min-Min Chen, Kilian Q. Weinberger, F. Sha
2013arXiv.org29 citations
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From sBoW to dCoT marginalized encoders for text representation
Z. Xu, Min-Min Chen, Kilian Q. Weinberger, F. Sha
2012International Conference on Information and Knowledge Management27 citations
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Learning to Augment for Casual User Recommendation
Jianling Wang, Ya Le, Bo-Yu Chang, Yuyan Wang +2 more
2022The Web Conference26 citations Open access
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Quantifying Long Range Dependence in Language and User Behavior to improve RNNs
Francois Belletti, Min-Min Chen, Ed H. Chi
2019Knowledge Discovery and Data Mining26 citations Open access
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Marginalized Denoising for Link Prediction and Multi-Label Learning
Zheng Chen, Min-Min Chen, Kilian Q. Weinberger, Wei-Xiong Zhang
2015AAAI Conference on Artificial Intelligence26 citations Open access
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Surrogate Objectives for Batch Policy Optimization in One-step Decision Making
Min-Min Chen, Ramki Gummadi, Chris Harris, D. Schuurmans
2019Neural Information Processing Systems24 citations
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Extended duality for nonlinear programming
Yi-Xin Chen, Min-Min Chen
2010Computational optimization and applications23 citations
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Latent User Intent Modeling for Sequential Recommenders
B. Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu +2 more
2022The Web Conference22 citations Open access
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Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations
Pan Li, Yuyan Wang, Ed H. Chi, Min-Min Chen
2023arXiv.org21 citations Open access
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Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities
Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi +5 more
2021The Web Conference19 citations Open access
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Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems
Bo-Yu Chang, Chang-Ping Meng, He Ma, Shuo Chang +7 more
2024The Web Conference18 citations
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Marginalized Stacked Denoising Autoencoders
Min-Min Chen, Edmund Xu, Kilian Q. Weinberger
201218 citations
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Batch Reinforcement Learning Through Continuation Method
Yi-Jie Guo, Shengyu Feng, Nicolas Le Roux, Ed H. Chi +2 more
2021International Conference on Learning Representations16 citations
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Early Deterioration Warning for Hospitalized Patients by Mining Clinical Data
Yi Mao, Yi-Xin Chen, Gregory Hackmann, Min-Min Chen +3 more
2011International Journal of Knowledge Discovery in Bioinformatics15 citations
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User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
Jianling Wang, Yifan Liu, Yinghao Sun, Xuejian Ma +10 more
2025Annual Meeting of the Association for Computational Linguistics13 citations
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Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems
Yu-Yan Wang, Cheenar Banerjee, Samer Chucri, Fabio Soldo +3 more
2024Knowledge Discovery and Data Mining13 citations Open access
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