Xin Yang - RankMe

33 papers A* 6A 2B 1Misc 1Journal 22

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	DPAUC: Differentially Private AUC Computation in Federated Learning. AAAI Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang
2023	J	`jnl`	Label Inference Attack against Split Learning under Regression Setting. CoRR Shangyu Xie, Xin Yang, Yuanshun Yao, Tianyi Liu, Taiqing Wang, Jiankai Sun
2023	J	`jnl`	Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations. CoRR Mimee Xu, Jiankai Sun, Xin Yang, Kevin Yao, Chong Wang
2022	J	`jnl`	DPAUC: Differentially Private AUC Computation in Federated Learning. CoRR Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang
2022	J	`jnl`	Differentially Private AUC Computation in Vertical Federated Learning. CoRR Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang
2022	J	`jnl`	Differentially Private Label Protection in Split Learning. CoRR Xin Yang, Jiankai Sun, Yuanshun Yao, Junyuan Xie, Chong Wang
2022	J	`jnl`	Differentially Private Multi-Party Data Release for Linear Regression. CoRR Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang
2022	A	`conf`	Differentially private multi-party data release for linear regression. UAI Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang
2022	J	`jnl`	Faster Algorithm for Structured John Ellipsoid Computation. CoRR Zhao Song, Xin Yang, Yuanyuan Yang, Tianyi Zhou
2022	J	`jnl`	Label Leakage and Protection from Forward Embedding in Vertical Federated Learning. CoRR Jiankai Sun, Xin Yang, Yuanshun Yao, Chong Wang
2022	A*	`conf`	Label Leakage and Protection in Two-party Split Learning. ICLR Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang
2022	J	`jnl`	Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance. CoRR Zhao Song, Xin Yang, Yuanyuan Yang, Lichen Zhang
2021	A*	`conf`	FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis. ICML Baihe Huang, Xiaoxiao Li, Zhao Song, Xin Yang
2021	J	`jnl`	FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis. CoRR Baihe Huang, Xiaoxiao Li, Zhao Song, Xin Yang
2021	J	`jnl`	Label Leakage and Protection in Two-party Split Learning. CoRR Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang
2021	J	`jnl`	Vertical Federated Learning without Revealing Intersection Membership. CoRR Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang
2020	J	`jnl`	On the Bias of Reed-Muller Codes over Odd Prime Fields. SIAM J. Discret. Math. Paul Beame, Shayan Oveis Gharan, Xin Yang
2020	A	`conf`	Sketching Transformed Matrices with Applications to Natural Language Processing. AISTATS Yingyu Liang, Zhao Song, Mengdi Wang, Lin Yang, Xin Yang
2020	J	`jnl`	Sketching Transformed Matrices with Applications to Natural Language Processing. CoRR Yingyu Liang, Zhao Song, Mengdi Wang, Lin F. Yang, Xin Yang
2020	—	`—`	Towards Better Understanding of Algorithms and Complexity of Some Learning Problems. Xin Yang
2019	A*	`conf`	A near-optimal algorithm for approximating the John Ellipsoid. COLT Michael B. Cohen, Ben Cousins, Yin Tat Lee, Xin Yang
2019	J	`jnl`	A near-optimal algorithm for approximating the John Ellipsoid. CoRR Michael B. Cohen, Ben Cousins, Yin Tat Lee, Xin Yang
2019	J	`jnl`	Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound. CoRR Zhao Song, Xin Yang
2019	A*	`conf`	Total Least Squares Regression in Input Sparsity Time. NeurIPS Huaian Diao, Zhao Song, David P. Woodruff, Xin Yang
2019	J	`jnl`	Total Least Squares Regression in Input Sparsity Time. CoRR Huaian Diao, Zhao Song, David P. Woodruff, Xin Yang
2018	J	`jnl`	On the Bias of Reed-Muller Codes over Odd Prime Fields. CoRR Paul Beame, Shayan Oveis Gharan, Xin Yang
2018	A*	`conf`	Time-Space Tradeoffs for Learning Finite Functions from Random Evaluations, with Applications to Polynomials. COLT Paul Beame, Shayan Oveis Gharan, Xin Yang
2018	J	`jnl`	Time-Space Tradeoffs for Learning Finite Functions from Random Evaluations, with Applications to Polynomials. Electron. Colloquium Comput. Complex. Paul Beame, Shayan Oveis Gharan, Xin Yang
2017	B	`conf`	Number Balancing is as Hard as Minkowski's Theorem and Shortest Vector. IPCO Rebecca Hoberg, Harishchandra Ramadas, Thomas Rothvoss, Xin Yang
2017	J	`jnl`	Time-Space Tradeoffs for Learning from Small Test Spaces: Learning Low Degree Polynomial Functions. CoRR Paul Beame, Shayan Oveis Gharan, Xin Yang
2017	J	`jnl`	Time-Space Tradeoffs for Learning from Small Test Spaces: Learning Low Degree Polynomial Functions. Electron. Colloquium Comput. Complex. Paul Beame, Shayan Oveis Gharan, Xin Yang
2016	Misc	`conf`	Canaries in the Network. HotNets Danyang Zhuo, Qiao Zhang, Xin Yang, Vincent Liu
2016	J	`jnl`	Number Balancing is as hard as Minkowski's Theorem and Shortest Vector. CoRR Rebecca Hoberg, Harishchandra Ramadas, Thomas Rothvoss, Xin Yang