个人简介
工作背景
清华大学，交叉信息研究院 助理教授 2019 年 7 月 – 今
麻省理工学院，大数据科学基础研究院 博士后研究员 2018 年 7 月 – 2019 年 6 月
导师：Piotr Indyk 教授与 Aleksander Madry 教授
教育背景
康奈尔大学，计算机系 博士（机器学习理论方向） 2012 年 8 月 – 2018 年 5 月
导师：Robert Kleinberg 教授
访问学生：普林斯顿大学 2016 年 9 月 – 2016 年 12 月
访问学生：微软新英格兰研究院 2014 年 9 月 – 2015 年 6 月
北京大学，计算机系 2008 年 9 月 – 2012 年 6 月
计算机学士，北京市/北京大学优秀毕业生。绩点：3.77/4.0 （全系第二名）
获优秀毕业论文奖，指导老师：郭耀教授
研究领域
我的研究方向是智能医疗、AI基础理论、应用范畴论，最终目标是实现数据驱动的新医疗
近期论文
查看导师最新文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
On the Power of Foundation Models, Yang Yuan, ICML 2023. [arxiv]
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, ICML 2023.
Finding Generalization Measures by Contrasting Signal and Noise, Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan, ICML 2023.
Predictive Inference with Feature Conformal Prediction, Jiaye Teng*, Chuan Wen*, Dinghuai Zhang*, Yoshua Bengio, Yang Gao, Yang Yuan, ICLR 2023. [arxiv]
Towards Understanding Generalization via Decomposing Excess Risk Dynamics, Jiaye Teng, Jianhao Ma, Yang Yuan, ICLR 2022. [arxiv]
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP, Jiaye Teng, Zeren Tan, Yang Yuan, ICML 2021. [arxiv]
A Stratified Approach to Robustness for Randomly Smoothed Classifiers, Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola, NeurIPS 2019. [paper]
Learning-Based Low-Rank Approximations, Piotr Indyk, Ali Vakilian, Yang Yuan, [α-β ordering] NeurIPS 2019. [arxiv]
Asymmetric Valleys: Beyond Sharp and Flat Local Minima, Haowei He, Gao Huang, Yang Yuan, NeurIPS 2019 (spotlight). [arxiv]
Expanding Holographic Embeddings for Knowledge Completion, Yexiang Xue, Yang Yuan, Zhitian Xu, Ashish Sabharwal, NIPS 2018. [paper]
An Alternative View: When Does SGD Escape Local Minima? Robert Kleinberg, Yuanzhi Li, Yang Yuan, [α-β ordering] ICML 2018. [arxiv]
Hyperparameter Optimization: A Spectral Approach, Elad Hazan, Adam Klivans, Yang Yuan, [α-β ordering] ICLR 2018. Previously appeared in NIPS DLTP Workshop 2017 (oral) [arxiv] [github]
YATES: Rapid Prototyping for Traffic Engineering Systems, Praveen Kumar, Chris Yu, Yang Yuan, Nate Foster, Robert Kleinberg, Robert Soulé, SOSR 2018. [paper]
Semi-Oblivious Traffic Engineering: The Road Not Taken, Praveen Kumar, Yang Yuan, Chris Yu, Nate Foster, Robert Kleinberg, Petr Lapukhov, Chiun Lin Lim, Robert Soulé, NSDI 2018. [arxiv]
Convergence Analysis of Two-layer Neural Networks with ReLU Activation, Yuanzhi Li, Yang Yuan, [α-β ordering] NIPS 2017. [arxiv]
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters, Zeyuan Allen-Zhu*, Yang Yuan*, Karthik Sridharan, [* denotes equal contribution] NIPS 2016. [arxiv]
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling, Zeyuan Allen-Zhu, Zheng Qu, Peter Richtárik, Yang Yuan, [α-β ordering] ICML 2016. [arxiv]
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives, Zeyuan Allen-Zhu, Yang Yuan, [α-β ordering] ICML 2016. [arxiv] [Code for SVRG++ and other VR algorithms in Scala]
Optimization Algorithms for Computational Geometry, Zeyuan Allen-Zhu, Zhenyu Liao, Yang Yuan, [α-β ordering] ICALP 2016. [arxiv]
Simultaneous Nearest Neighbor Search, Piotr Indyk, Robert Kleinberg, Sepideh Mahabadi, Yang Yuan, [α-β ordering] SoCG 2016. [arxiv]
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms, Wei Chen, Yajun Wang, Yang Yuan, Qinshi Wang JMLR 2016. [arxiv]
An empirical study on evaluation metrics of generative adversarial networks, Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Weinberger, Manuscript 2018. [arxiv]
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