Yang Yuan

According to our database, Yang Yuan authored at least 61 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Clarifying Before Reasoning: A Coq Prover with Structural Context.

Yanzhen Lu, Hanbin Yang, Xiaodie Wang, Ge Zhang, Biao Li, Chenxu Fu, Chao Li, Yang Yuan, Andrew Chi-Chih Yao

CoRR, July, 2025

Existing LLMs Are Not Self-Consistent For Simple Tasks.

Zhenru Lin, Jiawen Tao, Yang Yuan, Andrew Chi-Chih Yao

CoRR, June, 2025

Towards Automated Formal Verification of Backend Systems with LLMs.

Kangping Xu, Yifan Luo, Yang Yuan, Andrew Chi-Chih Yao

CoRR, June, 2025

On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning.

Yifan Zhang, Yifeng Liu, Huizhuo Yuan, Yang Yuan, Quanquan Gu, Andrew C. Yao

CoRR, May, 2025

Tensor Product Attention Is All You Need.

Yifan Zhang, Yifeng Liu, Huizhuo Yuan, Zhen Qin, Yang Yuan, Quanquan Gu, Andrew Chi-Chih Yao

CoRR, January, 2025

Cumulative Reasoning with Large Language Models.

Yifan Zhang, Jingqin Yang, Yang Yuan, Andrew C. Yao

Trans. Mach. Learn. Res., 2025

Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts.

Yifan Zhang, Yifan Luo, Yang Yuan, Andrew C. Yao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Hierarchical Attention Generates Better Proofs.

Jianlong Chen, Chao Li, Yang Yuan, Andrew C. Yao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

On the Diagram of Thought.

Yifan Zhang, Yang Yuan, Andrew Chi-Chih Yao

CoRR, 2024

CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text.

Zhenru Lin, Yiqun Yao, Yang Yuan

CoRR, 2024

AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts.

Yifan Zhang, Yifan Luo, Yang Yuan, Andrew Chi-Chih Yao

CoRR, 2024

Matrix Information Theory for Self-Supervised Learning.

Yifan Zhang, Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Information Flow in Self-Supervised Learning.

Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan, Yifan Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Contrastive Learning is Spectral Clustering on Similarity Graph.

Zhiquan Tan, Yifan Zhang, Jingqin Yang, Yang Yuan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Kernel-SSL: Kernel KL Divergence for Self-Supervised Learning.

Yifan Zhang, Zhiquan Tan, Jingqin Yang, Yang Yuan

CoRR, 2023

RelationMatch: Matching In-batch Relationships for Semi-supervised Learning.

Yifan Zhang, Jingqin Yang, Zhiquan Tan, Yang Yuan

CoRR, 2023

A Categorical Framework of General Intelligence.

Yang Yuan

CoRR, 2023

Trade-off Between Efficiency and Consistency for Removal-based Explanations.

Yifan Zhang, Haowei He, Zhiquan Tan, Yang Yuan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression.

Jing Xu, Jiaye Teng, Yang Yuan, Andrew C. Yao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Power of Foundation Models.

Yang Yuan

Proceedings of the International Conference on Machine Learning, 2023

Finding Generalization Measures by Contrasting Signal and Noise.

Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan

Proceedings of the International Conference on Machine Learning, 2023

On Uni-Modal Feature Learning in Supervised Multi-Modal Learning.

Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao

Proceedings of the International Conference on Machine Learning, 2023

Predictive Inference with Feature Conformal Prediction.

Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Consistent and Truthful Interpretation with Fourier Analysis.

Yifan Zhang, Haowei He, Yang Yuan

CoRR, 2022

Anomaly Detection with Test Time Augmentation and Consistency Evaluation.

Haowei He, Jiaye Teng, Yang Yuan

CoRR, 2022

Towards Understanding Generalization via Decomposing Excess Risk Dynamics.

Jiaye Teng, Jianhao Ma, Yang Yuan

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP.

Jiaye Teng, Zeren Tan, Yang Yuan

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Secure Data Sharing With Flow Model.

Chenwei Wu, Chenzhuang Du, Yang Yuan

CoRR, 2020

Inject Machine Learning into Significance Test for Misspecified Linear Models.

Jiaye Teng, Yang Yuan

CoRR, 2020

Adversarial Data Encryption.

Yingdong Hu, Liang Zhang, Wei Shan, Xiaoxiao Qin, Jing Qi, Zhenzhou Wu, Yang Yuan

CoRR, 2020

2019

Optimal auctions vs. anonymous pricing.

Saeed Alaei, Jason D. Hartline, Rad Niazadeh, Emmanouil Pountourakis, Yang Yuan

Games Econ. Behav., 2019

A Stratified Approach to Robustness for Randomly Smoothed Classifiers.

Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola

CoRR, 2019

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers.

Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning-Based Low-Rank Approximations.

Piotr Indyk, Ali Vakilian, Yang Yuan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Asymmetric Valleys: Beyond Sharp and Flat Local Minima.

Haowei He, Gao Huang, Yang Yuan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Provable and Practical Algorithms for Non-Convex Problems in Machine Learning.

Yang Yuan

PhD thesis, 2018

An empirical study on evaluation metrics of generative adversarial networks.

Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Q. Weinberger

CoRR, 2018

YATES: Rapid Prototyping for Traffic Engineering Systems.

Praveen Kumar, Chris Yu, Yang Yuan, Nate Foster, Robert Kleinberg, Robert Soulé

Proceedings of the Symposium on SDN Research, 2018

Semi-Oblivious Traffic Engineering: The Road Not Taken.

Praveen Kumar, Yang Yuan, Chris Yu, Nate Foster, Robert Kleinberg, Petr Lapukhov, Chiunlin Lim, Robert Soulé

Proceedings of the 15th USENIX Symposium on Networked Systems Design and Implementation, 2018

An Alternative View: When Does SGD Escape Local Minima?

Robert Kleinberg, Yuanzhi Li, Yang Yuan

Proceedings of the 35th International Conference on Machine Learning, 2018

Hyperparameter optimization: a spectral approach.

Elad Hazan, Adam R. Klivans, Yang Yuan

Proceedings of the 6th International Conference on Learning Representations, 2018

Semi-Oblivious Traffic Engineering with SMORE.

Praveen Kumar, Yang Yuan, Chris Yu, Nate Foster, Robert Kleinberg, Petr Lapukhov, Chiunlin Lim, Robert Soulé

Proceedings of the Applied Networking Research Workshop, 2018

2017

Convergence Analysis of Two-layer Neural Networks with ReLU Activation.

Yuanzhi Li, Yang Yuan

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms.

Wei Chen, Yajun Wang, Yang Yuan, Qinshi Wang

J. Mach. Learn. Res., 2016

Kulfi: Robust Traffic Engineering Using Semi-Oblivious Routing.

Praveen Kumar, Yang Yuan, Chris Yu, Nate Foster, Robert D. Kleinberg, Robert Soulé

CoRR, 2016

Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters.

Zeyuan Allen Zhu, Yang Yuan, Karthik Sridharan

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives.

Zeyuan Allen Zhu, Yang Yuan

Proceedings of the 33nd International Conference on Machine Learning, 2016

Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling.

Zeyuan Allen Zhu, Zheng Qu, Peter Richtárik, Yang Yuan

Proceedings of the 33nd International Conference on Machine Learning, 2016

Optimization Algorithms for Faster Computational Geometry.

Zeyuan Allen Zhu, Zhenyu Liao, Yang Yuan

Proceedings of the 43rd International Colloquium on Automata, Languages, and Programming, 2016

Simultaneous Nearest Neighbor Search.

Piotr Indyk, Robert D. Kleinberg, Sepideh Mahabadi, Yang Yuan

Proceedings of the 32nd International Symposium on Computational Geometry, 2016

2015

Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling.

Zeyuan Allen Zhu, Yang Yuan

CoRR, 2015

UniVR: A Universal Variance Reduction Framework for Proximal Stochastic Gradient Method.

Zeyuan Allen Zhu, Yang Yuan

CoRR, 2015

Escaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition.

Rong Ge, Furong Huang, Chi Jin, Yang Yuan

Proceedings of The 28th Conference on Learning Theory, 2015

2014

Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms.

Wei Chen, Yajun Wang, Yang Yuan

CoRR, 2014

Simple and Near-Optimal Mechanisms for Market Intermediation.

Rad Niazadeh, Yang Yuan, Robert D. Kleinberg

Proceedings of the Web and Internet Economics - 10th International Conference, 2014

2013

On the ratio of revenue to welfare in single-parameter mechanism design.

Robert Kleinberg, Yang Yuan

Proceedings of the fourteenth ACM Conference on Electronic Commerce, 2013

Combinatorial Multi-Armed Bandit: General Framework and Applications.

Wei Chen, Yajun Wang, Yang Yuan

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Boreas: an accurate and scalable token-based approach to code clone detection.

Yang Yuan, Yao Guo

Proceedings of the IEEE/ACM International Conference on Automated Software Engineering, 2012

A scalable and accurate approach based on count matrix for detecting code clones.

Yang Yuan

Proceedings of the Companion Volume of the 11th International Conference on Aspect-oriented Software Development, 2012

2011

A Fast Parallel Branch and Bound Algorithm for Treewidth.

Yang Yuan

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

CMCD: Count Matrix Based Code Clone Detection.

Yang Yuan, Yao Guo

Proceedings of the 18th Asia Pacific Software Engineering Conference, 2011