Yang Yuan - RankMe

84 papers A* 23B 1C 1Misc 1Journal 47Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Probing the Lack of Stable Internal Beliefs in LLMs. CoRR Yifan Luo, Kangping Xu, Yanzhen Lu, Yang Yuan, Andrew Chi-Chih Yao
2025	—	`conf`	Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts. ACL (Findings) Yifan Zhang, Yifan Luo, Yang Yuan, Andrew C. Yao
2025	J	`jnl`	Clarifying Before Reasoning: A Coq Prover with Structural Context. CoRR Yanzhen Lu, Hanbin Yang, Xiaodie Wang, Ge Zhang, Biao Li, Chenxu Fu, Chao Li, Yang Yuan, Andrew Chi-Chih Yao
2025	J	`jnl`	Cumulative Reasoning with Large Language Models. Trans. Mach. Learn. Res. Yifan Zhang, Jingqin Yang, Yang Yuan, Andrew C. Yao
2025	J	`jnl`	Existing LLMs Are Not Self-Consistent For Simple Tasks. CoRR Zhenru Lin, Jiawen Tao, Yang Yuan, Andrew Chi-Chih Yao
2025	J	`jnl`	Group Representational Position Encoding. CoRR Yifan Zhang, Zixiang Chen, Yifeng Liu, Zhen Qin, Huizhuo Yuan, Kangping Xu, Yang Yuan, Quanquan Gu, Andrew Chi-Chih Yao
2025	—	`conf`	Hierarchical Attention Generates Better Proofs. ACL (1) Jianlong Chen, Chao Li, Yang Yuan, Andrew C. Yao
2025	J	`jnl`	Hierarchical Attention Generates Better Proofs. CoRR Jianlong Chen, Chao Li, Yang Yuan, Andrew C. Yao
2025	J	`jnl`	On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning. CoRR Yifan Zhang, Yifeng Liu, Huizhuo Yuan, Yang Yuan, Quanquan Gu, Andrew C. Yao
2025	J	`jnl`	Tensor Product Attention Is All You Need. CoRR Yifan Zhang, Yifeng Liu, Huizhuo Yuan, Zhen Qin, Yang Yuan, Quanquan Gu, Andrew Chi-Chih Yao
2025	J	`jnl`	Towards Automated Formal Verification of Backend Systems with LLMs. CoRR Kangping Xu, Yifan Luo, Yang Yuan, Andrew Chi-Chih Yao
2024	J	`jnl`	AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts. CoRR Yifan Zhang, Yifan Luo, Yang Yuan, Andrew Chi-Chih Yao
2024	J	`jnl`	CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text. CoRR Zhenru Lin, Yiqun Yao, Yang Yuan
2024	A*	`conf`	Contrastive Learning is Spectral Clustering on Similarity Graph. ICLR Zhiquan Tan, Yifan Zhang, Jingqin Yang, Yang Yuan
2024	A*	`conf`	Information Flow in Self-Supervised Learning. ICML Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan, Yifan Zhang
2024	A*	`conf`	Matrix Information Theory for Self-Supervised Learning. ICML Yifan Zhang, Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan
2024	J	`jnl`	On the Diagram of Thought. CoRR Yifan Zhang, Yang Yuan, Andrew Chi-Chih Yao
2023	J	`jnl`	A Categorical Framework of General Intelligence. CoRR Yang Yuan
2023	J	`jnl`	Contrastive Learning Is Spectral Clustering On Similarity Graph. CoRR Zhiquan Tan, Yifan Zhang, Jingqin Yang, Yang Yuan
2023	J	`jnl`	Cumulative Reasoning with Large Language Models. CoRR Yifan Zhang, Jingqin Yang, Yang Yuan, Andrew Chi-Chih Yao
2023	A*	`conf`	Finding Generalization Measures by Contrasting Signal and Noise. ICML Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan
2023	J	`jnl`	Information Flow in Self-Supervised Learning. CoRR Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan, Yifan Zhang
2023	J	`jnl`	Kernel-SSL: Kernel KL Divergence for Self-Supervised Learning. CoRR Yifan Zhang, Zhiquan Tan, Jingqin Yang, Yang Yuan
2023	A*	`conf`	On Uni-Modal Feature Learning in Supervised Multi-Modal Learning. ICML Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao
2023	J	`jnl`	On Uni-Modal Feature Learning in Supervised Multi-Modal Learning. CoRR Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao
2023	A*	`conf`	On the Power of Foundation Models. ICML Yang Yuan
2023	A*	`conf`	Predictive Inference with Feature Conformal Prediction. ICLR Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan
2023	J	`jnl`	RelationMatch: Matching In-batch Relationships for Semi-supervised Learning. CoRR Yifan Zhang, Jingqin Yang, Zhiquan Tan, Yang Yuan
2023	A*	`conf`	Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression. NeurIPS Jing Xu, Jiaye Teng, Yang Yuan, Andrew C. Yao
2023	A*	`conf`	Trade-off Between Efficiency and Consistency for Removal-based Explanations. NeurIPS Yifan Zhang, Haowei He, Zhiquan Tan, Yang Yuan
2022	J	`jnl`	Anomaly Detection with Test Time Augmentation and Consistency Evaluation. CoRR Haowei He, Jiaye Teng, Yang Yuan
2022	J	`jnl`	Consistent and Truthful Interpretation with Fourier Analysis. CoRR Yifan Zhang, Haowei He, Yang Yuan
2022	J	`jnl`	On the power of foundation models. CoRR Yang Yuan
2022	J	`jnl`	Predictive Inference with Feature Conformal Prediction. CoRR Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan
2022	A*	`conf`	Towards Understanding Generalization via Decomposing Excess Risk Dynamics. ICLR Jiaye Teng, Jianhao Ma, Yang Yuan
2021	A*	`conf`	T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP. ICML Jiaye Teng, Zeren Tan, Yang Yuan
2021	J	`jnl`	T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP. CoRR Jiaye Teng, Zeren Tan, Yang Yuan
2021	J	`jnl`	Towards Understanding Generalization via Decomposing Excess Risk Dynamics. CoRR Jiaye Teng, Jianhao Ma, Yang Yuan
2020	J	`jnl`	Adversarial Data Encryption. CoRR Yingdong Hu, Liang Zhang, Wei Shan, Xiaoxiao Qin, Jing Qi, Zhenzhou Wu, Yang Yuan
2020	J	`jnl`	Inject Machine Learning into Significance Test for Misspecified Linear Models. CoRR Jiaye Teng, Yang Yuan
2020	J	`jnl`	Secure Data Sharing With Flow Model. CoRR Chenwei Wu, Chenzhuang Du, Yang Yuan
2019	J	`jnl`	A Stratified Approach to Robustness for Randomly Smoothed Classifiers. CoRR Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola
2019	A*	`conf`	Asymmetric Valleys: Beyond Sharp and Flat Local Minima. NeurIPS Haowei He, Gao Huang, Yang Yuan
2019	J	`jnl`	Asymmetric Valleys: Beyond Sharp and Flat Local Minima. CoRR Haowei He, Gao Huang, Yang Yuan
2019	A*	`conf`	Learning-Based Low-Rank Approximations. NeurIPS Piotr Indyk, Ali Vakilian, Yang Yuan
2019	J	`jnl`	Learning-Based Low-Rank Approximations. CoRR Piotr Indyk, Ali Vakilian, Yang Yuan
2019	J	`jnl`	Optimal auctions vs. anonymous pricing. Games Econ. Behav. Saeed Alaei, Jason D. Hartline, Rad Niazadeh, Emmanouil Pountourakis, Yang Yuan
2019	A*	`conf`	Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers. NeurIPS Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola
2018	A*	`conf`	An Alternative View: When Does SGD Escape Local Minima? ICML Robert Kleinberg, Yuanzhi Li, Yang Yuan
2018	J	`jnl`	An Alternative View: When Does SGD Escape Local Minima? CoRR Robert Kleinberg, Yuanzhi Li, Yang Yuan
2018	J	`jnl`	An empirical study on evaluation metrics of generative adversarial networks. CoRR Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Q. Weinberger
2018	—	`conf`	Hyperparameter optimization: a spectral approach. ICLR (Poster) Elad Hazan, Adam R. Klivans, Yang Yuan
2018	—	`—`	Provable and Practical Algorithms for Non-Convex Problems in Machine Learning. Yang Yuan
2018	—	`conf`	Semi-Oblivious Traffic Engineering with SMORE. ANRW Praveen Kumar, Yang Yuan, Chris Yu, Nate Foster, Robert Kleinberg, Petr Lapukhov, Chiunlin Lim, Robert Soulé
2018	Misc	`conf`	Semi-Oblivious Traffic Engineering: The Road Not Taken. NSDI Praveen Kumar, Yang Yuan, Chris Yu, Nate Foster, Robert Kleinberg, Petr Lapukhov, Chiunlin Lim, Robert Soulé
2018	—	`conf`	YATES: Rapid Prototyping for Traffic Engineering Systems. SOSR Praveen Kumar, Chris Yu, Yang Yuan, Nate Foster, Robert Kleinberg, Robert Soulé
2017	—	`conf`	Convergence Analysis of Two-layer Neural Networks with ReLU Activation. NIPS Yuanzhi Li, Yang Yuan
2017	J	`jnl`	Convergence Analysis of Two-layer Neural Networks with ReLU Activation. CoRR Yuanzhi Li, Yang Yuan
2017	J	`jnl`	Hyperparameter Optimization: A Spectral Approach. CoRR Elad Hazan, Adam R. Klivans, Yang Yuan
2016	J	`jnl`	Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms. J. Mach. Learn. Res. Wei Chen, Yajun Wang, Yang Yuan, Qinshi Wang
2016	A*	`conf`	Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling. ICML Zeyuan Allen Zhu, Zheng Qu, Peter Richtárik, Yang Yuan
2016	—	`conf`	Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters. NIPS Zeyuan Allen Zhu, Yang Yuan, Karthik Sridharan
2016	J	`jnl`	Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters. CoRR Zeyuan Allen Zhu, Yang Yuan, Karthik Sridharan
2016	A*	`conf`	Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives. ICML Zeyuan Allen Zhu, Yang Yuan
2016	J	`jnl`	Kulfi: Robust Traffic Engineering Using Semi-Oblivious Routing. CoRR Praveen Kumar, Yang Yuan, Chris Yu, Nate Foster, Robert D. Kleinberg, Robert Soulé
2016	A*	`conf`	Optimization Algorithms for Faster Computational Geometry. ICALP Zeyuan Allen Zhu, Zhenyu Liao, Yang Yuan
2016	A*	`conf`	Simultaneous Nearest Neighbor Search. SoCG Piotr Indyk, Robert D. Kleinberg, Sepideh Mahabadi, Yang Yuan
2016	J	`jnl`	Simultaneous Nearest Neighbor Search. CoRR Piotr Indyk, Robert D. Kleinberg, Sepideh Mahabadi, Yang Yuan
2015	A*	`conf`	Escaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition. COLT Rong Ge, Furong Huang, Chi Jin, Yang Yuan
2015	J	`jnl`	Escaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition. CoRR Rong Ge, Furong Huang, Chi Jin, Yang Yuan
2015	J	`jnl`	Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling. CoRR Zeyuan Allen Zhu, Yang Yuan
2015	A*	`conf`	Optimal Auctions vs. Anonymous Pricing. FOCS Saeed Alaei, Jason D. Hartline, Rad Niazadeh, Emmanouil Pountourakis, Yang Yuan
2015	J	`jnl`	Optimal Auctions vs. Anonymous Pricing. CoRR Saeed Alaei, Jason D. Hartline, Rad Niazadeh, Emmanouil Pountourakis, Yang Yuan
2015	J	`jnl`	UniVR: A Universal Variance Reduction Framework for Proximal Stochastic Gradient Method. CoRR Zeyuan Allen Zhu, Yang Yuan
2014	J	`jnl`	Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms. CoRR Wei Chen, Yajun Wang, Yang Yuan
2014	J	`jnl`	Simple and Near-Optimal Mechanisms For Market Intermediation. CoRR Rad Niazadeh, Yang Yuan, Robert D. Kleinberg
2014	—	`conf`	Simple and Near-Optimal Mechanisms for Market Intermediation. WINE Rad Niazadeh, Yang Yuan, Robert D. Kleinberg
2013	—	`conf`	Combinatorial Multi-Armed Bandit: General Framework and Applications. ICML (1) Wei Chen, Yajun Wang, Yang Yuan
2013	J	`jnl`	On the Ratio of Revenue to Welfare in Single-Parameter Mechanism Design CoRR Robert Kleinberg, Yang Yuan
2013	A*	`conf`	On the ratio of revenue to welfare in single-parameter mechanism design. EC Robert Kleinberg, Yang Yuan
2012	—	`conf`	A scalable and accurate approach based on count matrix for detecting code clones. AOSD (Companion) Yang Yuan
2012	A*	`conf`	Boreas: an accurate and scalable token-based approach to code clone detection. ASE Yang Yuan, Yao Guo
2011	B	`conf`	A Fast Parallel Branch and Bound Algorithm for Treewidth. ICTAI Yang Yuan
2011	C	`conf`	CMCD: Count Matrix Based Code Clone Detection. APSEC Yang Yuan, Yao Guo