b'Qian Lin'

research

∙ 09/08/2023

Optimal Rate of Kernel Regression in Large Dimensions

We perform a study on kernel regression for large-dimensional data (wher...

0 Weihao Lu, et al. ∙

research

∙ 07/24/2023

Functional Slicing-free Inverse Regression via Martingale Difference Divergence Operator

Functional sliced inverse regression (FSIR) is one of the most popular a...

0 Songtao Tian, et al. ∙

research

∙ 07/06/2023

On the Optimality of Functional Sliced Inverse Regression

In this paper, we prove that functional sliced inverse regression (FSIR)...

0 Rui Chen, et al. ∙

research

∙ 06/01/2023

Safe Offline Reinforcement Learning with Real-Time Budget Constraints

Aiming at promoting the safe real-world deployment of Reinforcement Lear...

0 Qian Lin, et al. ∙

research

∙ 05/29/2023

Generalization Ability of Wide Residual Networks

In this paper, we study the generalization ability of the wide residual ...

0 Jianfa Lai, et al. ∙

research

∙ 05/12/2023

On the Optimality of Misspecified Kernel Ridge Regression

In the misspecified kernel ridge regression problem, researchers usually...

0 Haobo Zhang, et al. ∙

research

∙ 05/07/2023

Sliced Inverse Regression with Large Structural Dimensions

The central space of a joint distribution (,Y) is the minimal subspace 𝒮...

0 Dongming Huang, et al. ∙

research

∙ 05/04/2023

Statistical Optimality of Deep Wide Neural Networks

In this paper, we consider the generalization ability of deep wide feedf...

0 Yicheng Li, et al. ∙

research

∙ 03/28/2023

Kernel interpolation generalizes poorly

One of the most interesting problems in the recent renaissance of the st...

0 Yicheng Li, et al. ∙

research

∙ 03/27/2023

On the optimality of misspecified spectral algorithms

In the misspecified spectral algorithms problem, researchers usually ass...

0 Haobo Zhang, et al. ∙

research

∙ 02/12/2023

Generalization Ability of Wide Neural Networks on ℝ

We perform a study on the generalization ability of the wide two-layer R...

0 Jianfa Lai, et al. ∙

research

∙ 02/22/2022

A Semi-Supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues

Identifying breakdowns in ongoing dialogues helps to improve communicati...

0 Qian Lin, et al. ∙

research

∙ 04/01/2021

SMORES-EP, a Modular Robot with Parallel Self-assembly

Self-assembly of modular robotic systems enables the construction of com...

0 Chao Liu, et al. ∙

research

∙ 10/18/2020

Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution

Due to the limits of bandwidth and storage space, digital images are usu...

8 Xiaoyu Xiang, et al. ∙

research

∙ 10/17/2020

MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines

With the ever-increasing adoption of machine learning for data analytics...

0 Zhaojing Luo, et al. ∙

research

∙ 09/12/2020

Communication-efficient Decentralized Machine Learning over Heterogeneous Networks

In the last few years, distributed machine learning has been usually exe...

0 Pan Zhou, et al. ∙

research

∙ 07/30/2020

The Blessing and the Curse of the Noise behind Facial Landmark Annotations

The evolving algorithms for 2D facial landmark detection empower people ...

0 Xiaoyu Xiang, et al. ∙

research

∙ 04/16/2020

ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications

Data collaboration activities typically require systematic or protocol-b...

0 Qian Lin, et al. ∙

research

∙ 02/11/2020

LoCEC: Local Community-based Edge Classification in Large Online Social Networks

Relationships in online social networks often imply social connections i...

0 Chonggang Song, et al. ∙

research

∙ 01/27/2020

Print Defect Mapping with Semantic Segmentation

Efficient automated print defect mapping is valuable to the printing ind...

4 Augusto C. Valente, et al. ∙

research

∙ 11/27/2019

Multi-View Matching Network for 6D Pose Estimation

Applications that interact with the real world such as augmented reality...

0 Daniel Mas Montserrat, et al. ∙

research

∙ 10/03/2019

Blockchains and Distributed Databases: a Twin Study

Blockchain has come a long way: a system that was initially proposed spe...

0 Pingcheng Ruan, et al. ∙

research

∙ 09/06/2019

The Disruptions of 5G on Data-driven Technologies and Applications

With 5G on the verge of being adopted as the next mobile network, there ...

1 Dumitrel Loghin, et al. ∙

research

∙ 10/30/2018

Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks

In this paper, we propose an additionsubtraction twin-gated recurrent ne...

0 Biao Zhang, et al. ∙

research

∙ 07/24/2018

Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT

Although neural machine translation(NMT) yields promising translation pe...

0 Jing Yang, et al. ∙

research

∙ 07/04/2018

Randomization Inference for Peer Effects

Many previous causal inference studies require no interference among uni...

0 Xinran Li, et al. ∙

research

∙ 06/11/2018

Scalable Overload Control for Large-scale Microservice Architecture

Effective overload control for large-scale online service system is cruc...

0 Hao Zhou, et al. ∙

research

∙ 05/28/2018

Object-Level Representation Learning for Few-Shot Image Classification

Few-shot learning that trains image classifiers over few labeled example...

0 Liangqu Long, et al. ∙

research

∙ 05/04/2018

Global testing under the sparse alternatives for single index models

For the single index model y=f(β^τx,ϵ) with Gaussian design, and β is a...

0 Qian Lin, et al. ∙

research

∙ 02/14/2018

ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications

Existing data storage systems offer a wide range of functionalities to a...

0 Sheng Wang, et al. ∙

research

∙ 11/07/2015

Signed Support Recovery for Single Index Models in High-Dimensions

In this paper we study the support recovery problem for single index mod...

0 Matey Neykov, et al. ∙

Qian Lin

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