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ORCIDYang Yuan 0010
Person information
- affiliation: Tsinghua University, Institute for Interdisciplinary Information Sciences (IIIS), Beijing, China
- affiliation (PhD): Cornell University, Ithaca, NY, USA
Other persons with the same name
- Yang Yuan — disambiguation page
- Yang Yuan 0001
![[0000-0002-0849-1137]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0849-1137")
— Chinese Academy of Sciences, Xinjiang Technical Institute of Physics & Chemistry, Urumqi, China - Yang Yuan 0002 — East China University of Science and Technology, Key Laboratory of Smart Manufacturing in Energy Chemical Process, Shanghai, China
- Yang Yuan 0003 — Henan Polytechnic University (HPU), School of Software, Jiaozuo, China
- Yang Yuan 0004 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China (and 1 more)
- Yang Yuan 0005 — Jiangxi University of Traditional Chinese Medicine, School of Computer Science, Nanchang, China
- Yang Yuan 0006 — Beihang University, Key Laboratory of Virtual Reality Technology and Systems,Beijing, China
- Yang Yuan 0007 — Huazhong University of Science and Technology, Engineering Research Center for Functional Ceramics, Wuhan, China
- Yang Yuan 0008 — Sun-Yat-Sen University, School of Information Science and Technology, Guangzhou, China
- Yang Yuan 0009 — Soochow University, Suzhou, China
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2020 – today
- 2025
[j3]Yifan Zhang, Jingqin Yang, Yang Yuan, Andrew C. Yao:
Cumulative Reasoning with Large Language Models. Trans. Mach. Learn. Res. 2025 (2025)- [c36]Yifan Zhang, Yifan Luo, Yang Yuan, Andrew C. Yao:
Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts. ACL (Findings) 2025: 4168-4189 - [c35]Jianlong Chen, Chao Li, Yang Yuan, Andrew C. Yao:
Hierarchical Attention Generates Better Proofs. ACL (1) 2025: 17506-17520 - [i42]Yifan Zhang, Yifeng Liu, Huizhuo Yuan, Zhen Qin, Yang Yuan, Quanquan Gu, Andrew Chi-Chih Yao:
Tensor Product Attention Is All You Need. CoRR abs/2501.06425 (2025) - [i41]Jianlong Chen, Chao Li, Yang Yuan, Andrew C. Yao:
Hierarchical Attention Generates Better Proofs. CoRR abs/2504.19188 (2025) - [i40]Yifan Zhang, Yifeng Liu, Huizhuo Yuan, Yang Yuan, Quanquan Gu, Andrew C. Yao:
On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning. CoRR abs/2505.17508 (2025) - [i39]Kangping Xu, Yifan Luo, Yang Yuan, Andrew Chi-Chih Yao:
Towards Automated Formal Verification of Backend Systems with LLMs. CoRR abs/2506.10998 (2025) - [i38]Zhenru Lin, Jiawen Tao, Yang Yuan, Andrew Chi-Chih Yao:
Existing LLMs Are Not Self-Consistent For Simple Tasks. CoRR abs/2506.18781 (2025) - [i37]Yanzhen Lu, Hanbin Yang, Xiaodie Wang, Ge Zhang, Biao Li, Chenxu Fu, Chao Li, Yang Yuan, Andrew Chi-Chih Yao:
Clarifying Before Reasoning: A Coq Prover with Structural Context. CoRR abs/2507.02541 (2025) - 2024
- [c34]Zhiquan Tan, Yifan Zhang, Jingqin Yang, Yang Yuan:
Contrastive Learning is Spectral Clustering on Similarity Graph. ICLR 2024 - [c33]Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan, Yifan Zhang:
Information Flow in Self-Supervised Learning. ICML 2024 - [c32]Yifan Zhang, Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan:
Matrix Information Theory for Self-Supervised Learning. ICML 2024 - [i36]Yifan Zhang, Yifan Luo, Yang Yuan, Andrew Chi-Chih Yao:
AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts. CoRR abs/2402.07625 (2024) - [i35]Zhenru Lin, Yiqun Yao, Yang Yuan:
CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text. CoRR abs/2403.01784 (2024) - [i34]Yifan Zhang, Yang Yuan, Andrew Chi-Chih Yao:
On the Diagram of Thought. CoRR abs/2409.10038 (2024) - 2023
- [c31]Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan:
Predictive Inference with Feature Conformal Prediction. ICLR 2023 - [c30]Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao:
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning. ICML 2023: 8632-8656 - [c29]Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan:
Finding Generalization Measures by Contrasting Signal and Noise. ICML 2023: 33983-34010 - [c28]Yang Yuan:
On the Power of Foundation Models. ICML 2023: 40519-40530 - [c27]Jing Xu, Jiaye Teng, Yang Yuan, Andrew C. Yao:
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression. NeurIPS 2023 - [c26]Yifan Zhang, Haowei He, Zhiquan Tan, Yang Yuan:
Trade-off Between Efficiency and Consistency for Removal-based Explanations. NeurIPS 2023 - [i33]Yang Yuan:
A Categorical Framework of General Intelligence. CoRR abs/2303.04571 (2023) - [i32]Zhiquan Tan, Yifan Zhang, Jingqin Yang, Yang Yuan:
Contrastive Learning Is Spectral Clustering On Similarity Graph. CoRR abs/2303.15103 (2023) - [i31]Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao:
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning. CoRR abs/2305.01233 (2023) - [i30]Yifan Zhang, Jingqin Yang, Zhiquan Tan, Yang Yuan:
RelationMatch: Matching In-batch Relationships for Semi-supervised Learning. CoRR abs/2305.10397 (2023) - [i29]Yifan Zhang, Zhiquan Tan, Jingqin Yang, Yang Yuan:
Kernel-SSL: Kernel KL Divergence for Self-Supervised Learning. CoRR abs/2305.17326 (2023) - [i28]Yifan Zhang, Jingqin Yang, Yang Yuan, Andrew Chi-Chih Yao:
Cumulative Reasoning with Large Language Models. CoRR abs/2308.04371 (2023) - [i27]Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan, Yifan Zhang:
Information Flow in Self-Supervised Learning. CoRR abs/2309.17281 (2023) - 2022
- [c25]Jiaye Teng, Jianhao Ma, Yang Yuan:
Towards Understanding Generalization via Decomposing Excess Risk Dynamics. ICLR 2022 - [i26]Haowei He, Jiaye Teng, Yang Yuan:
Anomaly Detection with Test Time Augmentation and Consistency Evaluation. CoRR abs/2206.02345 (2022) - [i25]Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan:
Predictive Inference with Feature Conformal Prediction. CoRR abs/2210.00173 (2022) - [i24]Yifan Zhang, Haowei He, Yang Yuan:
Consistent and Truthful Interpretation with Fourier Analysis. CoRR abs/2210.17426 (2022) - [i23]Yang Yuan:
On the power of foundation models. CoRR abs/2211.16327 (2022) - 2021
- [c24]Jiaye Teng, Zeren Tan, Yang Yuan:
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP. ICML 2021: 10203-10213 - [i22]Jiaye Teng, Zeren Tan, Yang Yuan:
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP. CoRR abs/2103.04556 (2021) - [i21]Jiaye Teng, Jianhao Ma, Yang Yuan:
Towards Understanding Generalization via Decomposing Excess Risk Dynamics. CoRR abs/2106.06153 (2021) - 2020
- [i20]Yingdong Hu, Liang Zhang, Wei Shan, Xiaoxiao Qin, Jing Qi, Zhenzhou Wu, Yang Yuan:
Adversarial Data Encryption. CoRR abs/2002.03793 (2020) - [i19]Jiaye Teng, Yang Yuan:
Inject Machine Learning into Significance Test for Misspecified Linear Models. CoRR abs/2006.03167 (2020) - [i18]Chenwei Wu, Chenzhuang Du, Yang Yuan:
Secure Data Sharing With Flow Model. CoRR abs/2009.11762 (2020)
2010 – 2019
- 2019
- [j2]Saeed Alaei, Jason D. Hartline, Rad Niazadeh, Emmanouil Pountourakis, Yang Yuan:
Optimal auctions vs. anonymous pricing. Games Econ. Behav. 118: 494-510 (2019) - [c23]Haowei He, Gao Huang, Yang Yuan:
Asymmetric Valleys: Beyond Sharp and Flat Local Minima. NeurIPS 2019: 2549-2560 - [c22]Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola:
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers. NeurIPS 2019: 4911-4922 - [c21]Piotr Indyk, Ali Vakilian, Yang Yuan:
Learning-Based Low-Rank Approximations. NeurIPS 2019: 7400-7410 - [i17]Haowei He, Gao Huang, Yang Yuan:
Asymmetric Valleys: Beyond Sharp and Flat Local Minima. CoRR abs/1902.00744 (2019) - [i16]Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola:
A Stratified Approach to Robustness for Randomly Smoothed Classifiers. CoRR abs/1906.04948 (2019) - [i15]Piotr Indyk, Ali Vakilian, Yang Yuan:
Learning-Based Low-Rank Approximations. CoRR abs/1910.13984 (2019) - 2018
- [b1]Yang Yuan:
Provable and Practical Algorithms for Non-Convex Problems in Machine Learning. Cornell University, USA, 2018 - [c20]Praveen Kumar, Yang Yuan, Chris Yu, Nate Foster, Robert Kleinberg, Petr Lapukhov, Chiunlin Lim, Robert Soulé:
Semi-Oblivious Traffic Engineering with SMORE. ANRW 2018: 21 - [c19]Elad Hazan, Adam R. Klivans, Yang Yuan:
Hyperparameter optimization: a spectral approach. ICLR (Poster) 2018 - [c18]Robert Kleinberg, Yuanzhi Li, Yang Yuan:
An Alternative View: When Does SGD Escape Local Minima? ICML 2018: 2703-2712 - [c17]Praveen Kumar, Yang Yuan, Chris Yu, Nate Foster, Robert Kleinberg, Petr Lapukhov, Chiunlin Lim, Robert Soulé:
Semi-Oblivious Traffic Engineering: The Road Not Taken. NSDI 2018: 157-170 - [c16]Praveen Kumar, Chris Yu, Yang Yuan, Nate Foster, Robert Kleinberg, Robert Soulé:
YATES: Rapid Prototyping for Traffic Engineering Systems. SOSR 2018: 11:1-11:7 - [i14]Robert Kleinberg, Yuanzhi Li, Yang Yuan:
An Alternative View: When Does SGD Escape Local Minima? CoRR abs/1802.06175 (2018) - [i13]Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Q. Weinberger:
An empirical study on evaluation metrics of generative adversarial networks. CoRR abs/1806.07755 (2018) - 2017
- [c15]Yuanzhi Li, Yang Yuan:
Convergence Analysis of Two-layer Neural Networks with ReLU Activation. NIPS 2017: 597-607 - [i12]Yuanzhi Li, Yang Yuan:
Convergence Analysis of Two-layer Neural Networks with ReLU Activation. CoRR abs/1705.09886 (2017) - [i11]Elad Hazan, Adam R. Klivans, Yang Yuan:
Hyperparameter Optimization: A Spectral Approach. CoRR abs/1706.00764 (2017) - 2016
- [j1]Wei Chen, Yajun Wang, Yang Yuan, Qinshi Wang:
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms. J. Mach. Learn. Res. 17: 50:1-50:33 (2016) - [c14]Piotr Indyk, Robert D. Kleinberg, Sepideh Mahabadi, Yang Yuan:
Simultaneous Nearest Neighbor Search. SoCG 2016: 44:1-44:15 - [c13]Zeyuan Allen Zhu, Zhenyu Liao, Yang Yuan:
Optimization Algorithms for Faster Computational Geometry. ICALP 2016: 53:1-53:6 - [c12]Zeyuan Allen Zhu, Yang Yuan:
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives. ICML 2016: 1080-1089 - [c11]Zeyuan Allen Zhu, Zheng Qu, Peter Richtárik, Yang Yuan:
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling. ICML 2016: 1110-1119 - [c10]Zeyuan Allen Zhu, Yang Yuan, Karthik Sridharan:
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters. NIPS 2016: 1642-1650 - [i10]Zeyuan Allen Zhu, Yang Yuan, Karthik Sridharan:
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters. CoRR abs/1602.02151 (2016) - [i9]Praveen Kumar, Yang Yuan, Chris Yu, Nate Foster, Robert D. Kleinberg, Robert Soulé:
Kulfi: Robust Traffic Engineering Using Semi-Oblivious Routing. CoRR abs/1603.01203 (2016) - [i8]Piotr Indyk, Robert D. Kleinberg, Sepideh Mahabadi, Yang Yuan:
Simultaneous Nearest Neighbor Search. CoRR abs/1604.02188 (2016) - 2015
- [c9]Rong Ge, Furong Huang, Chi Jin, Yang Yuan:
Escaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition. COLT 2015: 797-842 - [c8]Saeed Alaei, Jason D. Hartline, Rad Niazadeh, Emmanouil Pountourakis, Yang Yuan:
Optimal Auctions vs. Anonymous Pricing. FOCS 2015: 1446-1463 - [i7]Rong Ge, Furong Huang, Chi Jin, Yang Yuan:
Escaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition. CoRR abs/1503.02101 (2015) - [i6]Zeyuan Allen Zhu, Yang Yuan:
UniVR: A Universal Variance Reduction Framework for Proximal Stochastic Gradient Method. CoRR abs/1506.01972 (2015) - [i5]Saeed Alaei, Jason D. Hartline, Rad Niazadeh, Emmanouil Pountourakis, Yang Yuan:
Optimal Auctions vs. Anonymous Pricing. CoRR abs/1507.02615 (2015) - [i4]Zeyuan Allen Zhu, Yang Yuan:
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling. CoRR abs/1512.09103 (2015) - 2014
- [c7]Rad Niazadeh, Yang Yuan, Robert D. Kleinberg:
Simple and Near-Optimal Mechanisms for Market Intermediation. WINE 2014: 386-399 - [i3]Wei Chen, Yajun Wang, Yang Yuan:
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms. CoRR abs/1407.8339 (2014) - [i2]Rad Niazadeh, Yang Yuan, Robert D. Kleinberg:
Simple and Near-Optimal Mechanisms For Market Intermediation. CoRR abs/1409.2597 (2014) - 2013
- [c6]Wei Chen, Yajun Wang, Yang Yuan:
Combinatorial Multi-Armed Bandit: General Framework and Applications. ICML (1) 2013: 151-159 - [c5]Robert Kleinberg, Yang Yuan:
On the ratio of revenue to welfare in single-parameter mechanism design. EC 2013: 589-602 - [i1]Robert Kleinberg, Yang Yuan:
On the Ratio of Revenue to Welfare in Single-Parameter Mechanism Design. CoRR abs/1305.0534 (2013) - 2012
- [c4]Yang Yuan:
A scalable and accurate approach based on count matrix for detecting code clones. AOSD (Companion) 2012: 21-22 - [c3]Yang Yuan, Yao Guo:
Boreas: an accurate and scalable token-based approach to code clone detection. ASE 2012: 286-289 - 2011
- [c2]Yang Yuan, Yao Guo:
CMCD: Count Matrix Based Code Clone Detection. APSEC 2011: 250-257 - [c1]Yang Yuan:
A Fast Parallel Branch and Bound Algorithm for Treewidth. ICTAI 2011: 472-479
Coauthor Index
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