b'Lin Liu'

research

∙ 08/23/2023

PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine

As an effective tool for eliciting the power of Large Language Models (L...

0 Chenrui Zhang, et al. ∙

research

∙ 07/01/2023

PersonaGen: A Tool for Generating Personas from User Feedback

Personas are crucial in software development processes, particularly in ...

0 Xishuo Zhang, et al. ∙

research

∙ 06/25/2023

Enhancing Dynamic Image Advertising with Vision-Language Pre-training

In the multimedia era, image is an effective medium in search advertisin...

0 Zhoufutu Wen, et al. ∙

research

∙ 06/21/2023

Learning Conditional Instrumental Variable Representation for Causal Effect Estimation

One of the fundamental challenges in causal inference is to estimate the...

0 Debo Cheng, et al. ∙

research

∙ 06/18/2023

Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators

In this article we develop a feasible version of the assumption-lean tes...

0 Lin Liu, et al. ∙

research

∙ 06/09/2023

Exploring Effective Mask Sampling Modeling for Neural Image Compression

Image compression aims to reduce the information redundancy in images. M...

0 Lin Liu, et al. ∙

research

∙ 06/08/2023

Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce

Ranking model plays an essential role in e-commerce search and recommend...

0 Juan Gong, et al. ∙

research

∙ 06/08/2023

Joint Channel Estimation and Feedback with Masked Token Transformers in Massive MIMO Systems

When the base station has downlink channel status information (CSI), the...

0 Mingming Zhao, et al. ∙

research

∙ 05/31/2023

XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections via a Transformer Network

Computed tomography (CT) scans offer a detailed, three-dimensional repre...

0 Chulong Zhang, et al. ∙

research

∙ 05/07/2023

Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity

Treatment effect estimation under unconfoundedness is a fundamental task...

0 Lin Liu, et al. ∙

research

∙ 04/24/2023

Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion

An essential problem in causal inference is estimating causal effects fr...

0 Ziqi Xu, et al. ∙

research

∙ 04/10/2023

Linking a predictive model to causal effect estimation

A predictive model makes outcome predictions based on some given feature...

0 Jiuyong Li, et al. ∙

research

∙ 03/07/2023

AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer

In this paper, we propose an effective sound event detection (SED) metho...

0 Kang Li, et al. ∙

research

∙ 02/19/2023

Disentangled Representation for Causal Mediation Analysis

Estimating direct and indirect causal effects from observational data is...

0 Ziqi Xu, et al. ∙

research

∙ 02/16/2023

New √(n)-consistent, numerically stable higher-order influence function estimators

Higher-Order Influence Functions (HOIFs) provide a unified theory for co...

0 Lin Liu, et al. ∙

research

∙ 11/29/2022

Causal Inference with Conditional Instruments using Deep Generative Models

The instrumental variable (IV) approach is a widely used way to estimate...

0 Debo Cheng, et al. ∙

research

∙ 10/20/2022

Linear mixed model vs two-stage methods: Developing prognostic models of diabetic kidney disease progression

Identifying prognostic factors for disease progression is a cornerstone ...

0 Brian Kwan, et al. ∙

research

∙ 10/10/2022

DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning

Causal mediation analysis can unpack the black box of causality and is t...

0 Siqi Xu, et al. ∙

research

∙ 08/23/2022

Low-Light Video Enhancement with Synthetic Event Guidance

Low-light video enhancement (LLVE) is an important yet challenging task ...

0 Lin Liu, et al. ∙

research

∙ 08/20/2022

Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey

In many fields of scientific research and real-world applications, unbia...

0 Debo Cheng, et al. ∙

research

∙ 08/19/2022

Disentangled Representation with Causal Constraints for Counterfactual Fairness

Much research has been devoted to the problem of learning fair represent...

0 Ziqi Xu, et al. ∙

research

∙ 08/16/2022

A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathological Images

Pathologists need to combine information from differently stained pathol...

5 Chulong Zhang, et al. ∙

research

∙ 06/23/2022

Explanatory causal effects for model agnostic explanations

This paper studies the problem of estimating the contributions of featur...

0 Jiuyong Li, et al. ∙

research

∙ 06/04/2022

Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data

Instrumental variable (IV) is a powerful approach to inferring the causa...

0 Debo Cheng, et al. ∙

research

∙ 05/25/2022

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

This paper reviews the challenge on constrained high dynamic range (HDR)...

0 Eduardo Pérez-Pellitero, et al. ∙

research

∙ 04/08/2022

Global Update Guided Federated Learning

Federated learning protects data privacy and security by exchanging mode...

0 Qilong Wu, et al. ∙

research

∙ 03/11/2022

TAPE: Task-Agnostic Prior Embedding for Image Restoration

Learning an generalized prior for natural image restoration is an import...

0 Lin Liu, et al. ∙

research

∙ 03/09/2022

Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It

Many fundamental problems affecting the care of critically ill patients ...

15 Harsh Parikh, et al. ∙

research

∙ 02/01/2022

Sequential Search with Off-Policy Reinforcement Learning

Recent years have seen a significant amount of interests in Sequential R...

9 Dadong Miao, et al. ∙

research

∙ 01/26/2022

A Cooperation-Aware Lane Change Method for Autonomous Vehicles

Lane change for autonomous vehicles (AVs) is an important but challengin...

0 Zihao Sheng, et al. ∙

research

∙ 01/11/2022

Ancestral instrument method for causal inference without a causal graph

Unobserved confounding is the main obstacle to causal effect estimation ...

0 Debo Cheng, et al. ∙

research

∙ 12/20/2021

Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning

Local-to-global learning approach plays an essential role in Bayesian ne...

5 Kui Yu, et al. ∙

research

∙ 12/17/2021

SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers

We propose a novel zero-shot multi-frame image restoration method for re...

10 Lin Liu, et al. ∙

research

∙ 05/30/2021

A splitting Hamiltonian Monte Carlo method for efficient sampling

We propose a splitting Hamiltonian Monte Carlo (SHMC) algorithm, which c...

0 Lei Li, et al. ∙

research

∙ 03/23/2021

Any Part of Bayesian Network Structure Learning

We study an interesting and challenging problem, learning any part of a ...

14 Zhaolong Ling, et al. ∙

research

∙ 03/11/2021

Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning

Causal Learner is a toolbox for learning causal structure and Markov bla...

0 Zhaolong Ling, et al. ∙

research

∙ 02/04/2021

A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing

In the simulation-based testing and evaluation of autonomous vehicles (A...

0 Lin Liu, et al. ∙

research

∙ 12/06/2020

Low-complexity and High-performance Receive Beamforming for Secure Directional Modulation Networks against an Eavesdropping-enabled Full-duplex Attacker

In this paper, we present a novel scenario for directional modulation (D...

0 Yin Teng, et al. ∙

research

∙ 11/16/2020

A Transfer Learning Based Active Learning Framework for Brain Tumor Classification

Brain tumor is one of the leading causes of cancer-related death globall...

0 Ruqian Hao, et al. ∙

research

∙ 11/13/2020

Dependency-based Anomaly Detection: Framework, Methods and Benchmark

Anomaly detection is an important research problem because anomalies oft...

0 Sha Lu, et al. ∙

research

∙ 11/12/2020

Learning causal representations for robust domain adaptation

Domain adaptation solves the learning problem in a target domain by leve...

5 Shuai Yang, et al. ∙

research

∙ 11/03/2020

Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs

Moire artifacts are common in digital photography, resulting from the in...

2 Lin Liu, et al. ∙

research

∙ 10/08/2020

Assessing the Fairness of Classifiers with Collider Bias

The increasing maturity of machine learning technologies and their appli...

3 Zhenlong Xu, et al. ∙

research

∙ 09/14/2020

Sufficient Dimension Reduction for Average Causal Effect Estimation

Having a large number of covariates can have a negative impact on the qu...

9 Debo Cheng, et al. ∙

research

∙ 08/07/2020

Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning

This is the rejoinder to the discussion by Kennedy, Balakrishnan and Was...

9 Lin Liu, et al. ∙

research

∙ 07/24/2020

Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint

Product search is the most common way for people to satisfy their shoppi...

6 Zhuojian Xiao, et al. ∙

research

∙ 07/20/2020

Local search for efficient causal effect estimation

Causal effect estimation from observational data is an important but cha...

0 Debo Cheng, et al. ∙

research

∙ 07/14/2020

Wavelet-Based Dual-Branch Network for Image Demoireing

When smartphone cameras are used to take photos of digital screens, usua...

6 Lin Liu, et al. ∙

research

∙ 07/14/2020

A unified survey on treatment effect heterogeneity modeling and uplift modeling

A central question in many fields of scientific research is to determine...

0 Weijia Zhang, et al. ∙

research

∙ 07/02/2020

Computational methods for cancer driver discovery: A survey

Motivation: Uncovering the genomic causes of cancer, known as cancer dri...

0 Vu Viet Hoang Pham, et al. ∙

Lin Liu

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