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Haotian Jiang

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Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks

May 29, 2023
Haotian Jiang, Qianxiao Li

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Approximation theory of transformer networks for sequence modeling

May 29, 2023
Haotian Jiang, Qianxiao Li

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Learning across Data Owners with Joint Differential Privacy

May 25, 2023
Yangsibo Huang, Haotian Jiang, Daogao Liu, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni

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A Brief Survey on the Approximation Theory for Sequence Modelling

Feb 27, 2023
Haotian Jiang, Qianxiao Li, Zhong Li, Shida Wang

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Efficient Ambient LoRa Backscatter with On-Off Keying Modulation

Sep 30, 2022
Xiuzhen Guo, Longfei Shangguan, Yuan He, Jia Zhang, Haotian Jiang, Awais Ahmad Siddiqi, Yunhao Liu

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Saiyan: Design and Implementation of a Low-power Demodulator for LoRa Backscatter Systems

Sep 30, 2022
Xiuzhen Guo, Longfei Shangguan, Yuan He, Nan Jing, Jiacheng Zhang, Haotian Jiang, Yunhao Liu

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Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity

Aug 07, 2022
Sally Dong, Haotian Jiang, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye

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Low-cost Relevance Generation and Evaluation Metrics for Entity Resolution in AI

May 20, 2022
Venkat Varada, Mina Ghashami, Jitesh Mehta, Haotian Jiang, Kurtis Voris

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Approximation Theory of Convolutional Architectures for Time Series Modelling

Jul 20, 2021
Haotian Jiang, Zhong Li, Qianxiao Li

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An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications

Apr 08, 2020
Haotian Jiang, Yin Tat Lee, Zhao Song, Sam Chiu-wai Wong

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