Search Results for author: Zhixiang Huang

Found 10 papers, 5 papers with code

CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras

1 code implementation5 Jan 2024 Yabin Zhu, Xiao Wang, Chenglong Li, Bo Jiang, Lin Zhu, Zhixiang Huang, Yonghong Tian, Jin Tang

In this work, we formally propose the task of object tracking using unaligned neuromorphic and visible cameras.

Object Tracking

The Causal Impact of Credit Lines on Spending Distributions

1 code implementation16 Dec 2023 Yijun Li, Cheuk Hang Leung, Xiangqian Sun, Chaoqun Wang, Yiyan Huang, Xing Yan, Qi Wu, Dongdong Wang, Zhixiang Huang

Consumer credit services offered by e-commerce platforms provide customers with convenient loan access during shopping and have the potential to stimulate sales.

UTBoost: A Tree-boosting based System for Uplift Modeling

1 code implementation5 Dec 2023 Junjie Gao, Xiangyu Zheng, Dongdong Wang, Zhixiang Huang, Bangqi Zheng, Kai Yang

Uplift modeling refers to the set of machine learning techniques that a manager may use to estimate customer uplift, that is, the net effect of an action on some customer outcome.

Ensemble Learning

DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series

no code implementations26 Aug 2023 Chaoqun Wang, Yijun Li, Xiangqian Sun, Qi Wu, Dongdong Wang, Zhixiang Huang

The tensorized LSTM assigns each variable with a unique hidden state making up a matrix $\mathbf{h}_t$, and the standard LSTM models all the variables with a shared hidden state $\mathbf{H}_t$.

Time Series Time Series Forecasting

Deep into The Domain Shift: Transfer Learning through Dependence Regularization

1 code implementation31 May 2023 Shumin Ma, Zhiri Yuan, Qi Wu, Yiyan Huang, Xixu Hu, Cheuk Hang Leung, Dongdong Wang, Zhixiang Huang

This paper proposes a new domain adaptation approach in which one can measure the differences in the internal dependence structure separately from those in the marginals.

Domain Adaptation Transfer Learning

RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning

no code implementations26 Mar 2023 Yabin Zhu, Chenglong Li, Xiao Wang, Jin Tang, Zhixiang Huang

In addition, existing learning methods of RGBT trackers either fuse multimodal features into one for final classification, or exploit the relationship between unimodal branches and fused branch through a competitive learning strategy.

Robust Causal Learning for the Estimation of Average Treatment Effects

no code implementations5 Sep 2022 Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Shumin Ma, Zhiri Yuan, Dongdong Wang, Zhixiang Huang

Theoretically, the RCL estimators i) are as consistent and doubly robust as the DML estimators, and ii) can get rid of the error-compounding issue.

Decision Making

Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information

no code implementations5 Sep 2022 Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Qi Wu, Dongdong Wang, Zhixiang Huang

In this paper, we propose a moderately-balanced representation learning (MBRL) framework based on recent covariates balanced representation learning methods and orthogonal machine learning theory.

Learning Theory Multi-Task Learning +2

Tiny Object Tracking: A Large-scale Dataset and A Baseline

1 code implementation11 Feb 2022 Yabin Zhu, Chenglong Li, Yao Liu, Xiao Wang, Jin Tang, Bin Luo, Zhixiang Huang

Tiny objects, frequently appearing in practical applications, have weak appearance and features, and receive increasing interests in meany vision tasks, such as object detection and segmentation.

Attribute Knowledge Distillation +4

The Causal Learning of Retail Delinquency

no code implementations17 Dec 2020 Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng, Dongdong Wang, Zhixiang Huang

Classical estimators overlook the confounding effects and hence the estimation error can be magnificent.

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