CMCD: Count Matrix Based Code Clone Detection. - Yang Yuan 010; Yao Guo 001 (APSEC, 2011)

A Fast Parallel Branch and Bound Algorithm for Treewidth. - Yang Yuan 010 (ICTAI, 2011)

A scalable and accurate approach based on count matrix for detecting code clones. - Yang Yuan 010 (AOSD (Companion), 2012)

Boreas: an accurate and scalable token-based approach to code clone detection. - Yang Yuan 010; Yao Guo 001 (ASE, 2012)

Combinatorial Multi-Armed Bandit: General Framework and Applications. - Wei Chen 013; Yajun Wang 001; Yang Yuan 010 (ICML (1), 2013)

On the ratio of revenue to welfare in single-parameter mechanism design. - Robert Kleinberg; Yang Yuan 010 (EC, 2013)

Simple and Near-Optimal Mechanisms for Market Intermediation. - Rad Niazadeh; Yang Yuan 010; Robert D. Kleinberg (WINE, 2014)

Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms. - Wei Chen 013; Yajun Wang 001; Yang Yuan 010 (CoRR, 2014)

Escaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition. - Rong Ge 001; Furong Huang; Chi Jin 001; Yang Yuan 010 (COLT, 2015)

UniVR: A Universal Variance Reduction Framework for Proximal Stochastic Gradient Method. - Zeyuan Allen Zhu; Yang Yuan 010 (CoRR, 2015)

Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling. - Zeyuan Allen Zhu; Yang Yuan 010 (CoRR, 2015)

Simultaneous Nearest Neighbor Search. - Piotr Indyk; Robert D. Kleinberg; Sepideh Mahabadi; Yang Yuan 010 (SoCG, 2016)

Optimization Algorithms for Faster Computational Geometry. - Zeyuan Allen Zhu; Zhenyu Liao; Yang Yuan 010 (ICALP, 2016)

Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling. - Zeyuan Allen Zhu; Zheng Qu 001; Peter Richtárik; Yang Yuan 010 (ICML, 2016)

Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives. - Zeyuan Allen Zhu; Yang Yuan 010 (ICML, 2016)

Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters. - Zeyuan Allen Zhu; Yang Yuan 010; Karthik Sridharan (NIPS, 2016)

Kulfi: Robust Traffic Engineering Using Semi-Oblivious Routing. - Praveen Kumar 003; Yang Yuan 010; Chris Yu 001; Nate Foster; Robert D. Kleinberg; Robert Soulé (CoRR, 2016)

Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms. - Wei Chen 013; Yajun Wang 001; Yang Yuan 010; Qinshi Wang (J. Mach. Learn. Res., 2016)

Convergence Analysis of Two-layer Neural Networks with ReLU Activation. - Yuanzhi Li; Yang Yuan 010 (NIPS, 2017)

Semi-Oblivious Traffic Engineering with SMORE. - Praveen Kumar 003; Yang Yuan 010; Chris Yu 001; Nate Foster; Robert Kleinberg; Petr Lapukhov; Chiunlin Lim; Robert Soulé (ANRW, 2018)

Hyperparameter optimization: a spectral approach. - Elad Hazan; Adam R. Klivans; Yang Yuan 010 (ICLR (Poster), 2018)

An Alternative View: When Does SGD Escape Local Minima? - Robert Kleinberg; Yuanzhi Li; Yang Yuan 010 (ICML, 2018)

Semi-Oblivious Traffic Engineering: The Road Not Taken. - Praveen Kumar 003; Yang Yuan 010; Chris Yu 001; Nate Foster; Robert Kleinberg; Petr Lapukhov; Chiunlin Lim; Robert Soulé (NSDI, 2018)

YATES: Rapid Prototyping for Traffic Engineering Systems. - Praveen Kumar 003; Chris Yu 001; Yang Yuan 010; Nate Foster; Robert Kleinberg; Robert Soulé (SOSR, 2018)

An empirical study on evaluation metrics of generative adversarial networks. - Qiantong Xu; Gao Huang 001; Yang Yuan 010; Chuan Guo 001; Yu Sun 020; Felix Wu; Kilian Q. Weinberger (CoRR, 2018)

Provable and Practical Algorithms for Non-Convex Problems in Machine Learning. - Yang Yuan 010 (2018)

Asymmetric Valleys: Beyond Sharp and Flat Local Minima. - Haowei He; Gao Huang 001; Yang Yuan 010 (NeurIPS, 2019)

Learning-Based Low-Rank Approximations. - Piotr Indyk; Ali Vakilian; Yang Yuan 010 (NeurIPS, 2019)

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers. - Guang-He Lee; Yang Yuan 010; Shiyu Chang; Tommi S. Jaakkola (NeurIPS, 2019)

A Stratified Approach to Robustness for Randomly Smoothed Classifiers. - Guang-He Lee; Yang Yuan 010; Shiyu Chang; Tommi S. Jaakkola (CoRR, 2019)

Optimal auctions vs. anonymous pricing. - Saeed Alaei; Jason D. Hartline; Rad Niazadeh; Emmanouil Pountourakis; Yang Yuan 010 (Games Econ. Behav., 2019)

Adversarial Data Encryption. - Yingdong Hu; Liang Zhang; Wei Shan; Xiaoxiao Qin; Jing Qi; Zhenzhou Wu; Yang Yuan 010 (CoRR, 2020)

Inject Machine Learning into Significance Test for Misspecified Linear Models. - Jiaye Teng; Yang Yuan 010 (CoRR, 2020)

Secure Data Sharing With Flow Model. - Chenwei Wu 002; Chenzhuang Du; Yang Yuan 010 (CoRR, 2020)

T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP. - Jiaye Teng; Zeren Tan; Yang Yuan 010 (ICML, 2021)

Towards Understanding Generalization via Decomposing Excess Risk Dynamics. - Jiaye Teng; Jianhao Ma; Yang Yuan 010 (ICLR, 2022)

Anomaly Detection with Test Time Augmentation and Consistency Evaluation. - Haowei He; Jiaye Teng; Yang Yuan 010 (CoRR, 2022)

Consistent and Truthful Interpretation with Fourier Analysis. - Yifan Zhang; Haowei He; Yang Yuan 010 (CoRR, 2022)

Predictive Inference with Feature Conformal Prediction. - Jiaye Teng; Chuan Wen; Dinghuai Zhang; Yoshua Bengio; Yang Gao 029; Yang Yuan 010 (ICLR, 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 010; Hang Zhao 021 (ICML, 2023)

Finding Generalization Measures by Contrasting Signal and Noise. - Jiaye Teng; Bohang Zhang; Ruichen Li; Haowei He; Yequan Wang; Yan Tian; Yang Yuan 010 (ICML, 2023)

On the Power of Foundation Models. - Yang Yuan 010 (ICML, 2023)

Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression. - Jing Xu; Jiaye Teng; Yang Yuan 010; Andrew C. Yao (NeurIPS, 2023)

Trade-off Between Efficiency and Consistency for Removal-based Explanations. - Yifan Zhang; Haowei He; Zhiquan Tan; Yang Yuan 010 (NeurIPS, 2023)

A Categorical Framework of General Intelligence. - Yang Yuan 010 (CoRR, 2023)

RelationMatch: Matching In-batch Relationships for Semi-supervised Learning. - Yifan Zhang; Jingqin Yang; Zhiquan Tan; Yang Yuan 010 (CoRR, 2023)

Kernel-SSL: Kernel KL Divergence for Self-Supervised Learning. - Yifan Zhang; Zhiquan Tan; Jingqin Yang; Yang Yuan 010 (CoRR, 2023)

Contrastive Learning is Spectral Clustering on Similarity Graph. - Zhiquan Tan; Yifan Zhang; Jingqin Yang; Yang Yuan 010 (ICLR, 2024)

Information Flow in Self-Supervised Learning. - Zhiquan Tan; Jingqin Yang; Weiran Huang 001; Yang Yuan 010; Yifan Zhang (ICML, 2024)

Matrix Information Theory for Self-Supervised Learning. - Yifan Zhang; Zhiquan Tan; Jingqin Yang; Weiran Huang 001; Yang Yuan 010 (ICML, 2024)

AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts. - Yifan Zhang; Yifan Luo; Yang Yuan 010; 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 010 (CoRR, 2024)

On the Diagram of Thought. - Yifan Zhang; Yang Yuan 010; Andrew Chi-Chih Yao (CoRR, 2024)

Hierarchical Attention Generates Better Proofs. - Jianlong Chen; Chao Li; Yang Yuan 010; Andrew C. Yao (ACL (1), 2025)

Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts. - Yifan Zhang; Yifan Luo; Yang Yuan 010; Andrew C. Yao (ACL (Findings), 2025)

Cumulative Reasoning with Large Language Models. - Yifan Zhang; Jingqin Yang; Yang Yuan 010; Andrew C. Yao (Trans. Mach. Learn. Res., 2025)

Tensor Product Attention Is All You Need. - Yifan Zhang; Yifeng Liu 004; Huizhuo Yuan; Zhen Qin; Yang Yuan 010; Quanquan Gu; Andrew Chi-Chih Yao (CoRR, 2025)

On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning. - Yifan Zhang; Yifeng Liu 004; Huizhuo Yuan; Yang Yuan 010; Quanquan Gu; Andrew C. Yao (CoRR, 2025)

Towards Automated Formal Verification of Backend Systems with LLMs. - Kangping Xu; Yifan Luo; Yang Yuan 010; Andrew Chi-Chih Yao (CoRR, 2025)

Existing LLMs Are Not Self-Consistent For Simple Tasks. - Zhenru Lin; Jiawen Tao; Yang Yuan 010; Andrew Chi-Chih Yao (CoRR, 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 010; Andrew Chi-Chih Yao (CoRR, 2025)