b'Ying Jin'

research

∙ 09/03/2023

Diagnosing the role of observable distribution shift in scientific replications

Many researchers have identified distribution shift as a likely contribu...

0 Ying Jin, et al. ∙

research

∙ 07/18/2023

Model-free selective inference under covariate shift via weighted conformal p-values

This paper introduces weighted conformal p-values for model-free selecti...

0 Ying Jin, et al. ∙

research

∙ 05/23/2023

Uncertainty Quantification over Graph with Conformalized Graph Neural Networks

Graph Neural Networks (GNNs) are powerful machine learning prediction mo...

0 Kexin Huang, et al. ∙

research

∙ 04/24/2023

Topological properties and organizing principles of semantic networks

Interpreting natural language is an increasingly important task in compu...

0 Gabriel Budel, et al. ∙

research

∙ 01/31/2023

UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers

Real-world data contains a vast amount of multimodal information, among ...

0 Dachuan Shi, et al. ∙

research

∙ 01/18/2023

Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant

Semi-Supervised Semantic Segmentation aims at training the segmentation ...

29 Ying Jin, et al. ∙

research

∙ 12/19/2022

Policy learning "without” overlap: Pessimism and generalized empirical Bernstein's inequality

This paper studies offline policy learning, which aims at utilizing obse...

0 Ying Jin, et al. ∙

research

∙ 11/18/2022

Modular regression

This paper develops a new framework, called modular regression, to utili...

0 Ying Jin, et al. ∙

research

∙ 10/25/2022

Embedded Design of Automatic Pesticide Spraying Robot Control System

In agriculture, crops need to apply pesticide spraying flow control prec...

0 Ahamed Mustak, et al. ∙

research

∙ 10/20/2022

Image-Text Retrieval with Binary and Continuous Label Supervision

Most image-text retrieval work adopts binary labels indicating whether a...

0 Zheng Li, et al. ∙

research

∙ 10/04/2022

Selection by Prediction with Conformal p-values

Decision making or scientific discovery pipelines such as job hiring and...

0 Ying Jin, et al. ∙

research

∙ 09/15/2022

Upper bounds on the Natarajan dimensions of some function classes

The Natarajan dimension is a fundamental tool for characterizing multi-c...

0 Ying Jin, et al. ∙

research

∙ 03/10/2022

The Overlooked Classifier in Human-Object Interaction Recognition

Human-Object Interaction (HOI) recognition is challenging due to two fac...

0 Ying Jin, et al. ∙

research

∙ 03/08/2022

Sensitivity Analysis under the f-Sensitivity Models: Definition, Estimation and Inference

The digitization of the economy has witnessed an explosive growth of ava...

0 Ying Jin, et al. ∙

research

∙ 12/13/2021

Decoupling Object Detection from Human-Object Interaction Recognition

We propose DEFR, a DEtection-FRee method to recognize Human-Object Inter...

0 Ying Jin, et al. ∙

research

∙ 12/12/2021

Improving Vision Transformers for Incremental Learning

This paper studies using Vision Transformers (ViT) in class incremental ...

0 Pei Yu, et al. ∙

research

∙ 11/23/2021

Sensitivity Analysis of Individual Treatment Effects: A Robust Conformal Inference Approach

We propose a model-free framework for sensitivity analysis of individual...

0 Ying Jin, et al. ∙

research

∙ 11/23/2021

Few-Shot Object Detection via Association and DIscrimination

Object detection has achieved substantial progress in the last decade. H...

0 Yuhang Cao, et al. ∙

research

∙ 10/26/2021

Towards Optimal Variance Reduction in Online Controlled Experiments

We study the optimal variance reduction solutions for online controlled ...

0 Ying Jin, et al. ∙

research

∙ 08/18/2021

Single-DARTS: Towards Stable Architecture Search

Differentiable architecture search (DARTS) marks a milestone in Neural A...

0 Pengfei Hou, et al. ∙

research

∙ 07/29/2021

Contemporary Symbolic Regression Methods and their Relative Performance

Many promising approaches to symbolic regression have been presented in ...

39 William La Cava, et al. ∙

research

∙ 07/27/2021

Is Object Detection Necessary for Human-Object Interaction Recognition?

This paper revisits human-object interaction (HOI) recognition at image ...

0 Ying Jin, et al. ∙

research

∙ 04/09/2021

Conditional Inference: Towards a Hierarchy of Statistical Evidence

Statistical uncertainty has many sources. P-values and confidence interv...

0 Ying Jin, et al. ∙

research

∙ 01/27/2021

An Early Stopping Bayesian Data Assimilation Approach for Mixed-Logit Estimation

The mixed-logit model is a flexible tool in transportation choice analys...

0 Shanshan Xie, et al. ∙

research

∙ 12/30/2020

Is Pessimism Provably Efficient for Offline RL?

We study offline reinforcement learning (RL), which aims to learn an opt...

0 Ying Jin, et al. ∙

research

∙ 10/09/2020

Incorporating planning intelligence into deep learning: A planning support tool for street network design

Deep learning applications in shaping ad hoc planning proposals are limi...

0 Zhou Fang, et al. ∙

research

∙ 10/09/2020

DeepStreet: A deep learning powered urban street network generation module

In countries experiencing unprecedented waves of urbanization, there is ...

0 Zhou Fang, et al. ∙

research

∙ 02/28/2020

Learning Nonparametric Human Mesh Reconstruction from a Single Image without Ground Truth Meshes

Nonparametric approaches have shown promising results on reconstructing ...

0 Kevin Lin, et al. ∙

research

∙ 12/08/2019

Less Confusion More Transferable: Minimum Class Confusion for Versatile Domain Adaptation

Domain Adaptation (DA) transfers a learning model from a labeled source ...

0 Ying Jin, et al. ∙

research

∙ 10/20/2019

Bayesian Symbolic Regression

Interpretability is crucial for machine learning in many scenarios such ...

0 Ying Jin, et al. ∙

research

∙ 06/27/2018

3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation

Objective: Segmentation of colorectal cancerous regions from the Magneti...

4 Yi-Jie Huang, et al. ∙

Ying Jin

Featured Co-authors