b'Chen Huang'

research

∙ 08/10/2023

Quantile regression outcome-adaptive lasso: variable selection for causal quantile treatment effect estimation

Quantile treatment effects (QTEs) can characterize the potentially heter...

0 Yahang Liu, et al. ∙

research

∙ 06/28/2023

DUET: 2D Structured and Approximately Equivariant Representations

Multiview Self-Supervised Learning (MSSL) is based on learning invarianc...

0 Xavier Suau, et al. ∙

research

∙ 05/24/2023

Semi-Supervised and Long-Tailed Object Detection with CascadeMatch

This paper focuses on long-tailed object detection in the semi-supervise...

0 Yuhang Zang, et al. ∙

research

∙ 03/07/2023

MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors

Recent Self-Supervised Learning (SSL) methods are able to learn feature ...

0 Chen Huang, et al. ∙

research

∙ 10/13/2022

Unified Vision and Language Prompt Learning

Prompt tuning, a parameter- and data-efficient transfer learning paradig...

0 Yuhang Zang, et al. ∙

research

∙ 10/11/2022

COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning

Compiled software is delivered as executable binary code. Developers wri...

0 Yifan Zhang, et al. ∙

research

∙ 07/15/2022

Position Prediction as an Effective Pretraining Strategy

Transformers have gained increasing popularity in a wide range of applic...

1 Shuangfei Zhai, et al. ∙

research

∙ 07/05/2022

Efficient Representation Learning via Adaptive Context Pooling

Self-attention mechanisms model long-range context by using pairwise att...

0 Chen Huang, et al. ∙

research

∙ 03/31/2022

An Empirical Study of Language Model Integration for Transducer based Speech Recognition

Utilizing text-only data with an external language model (LM) in end-to-...

0 Huahuan Zheng, et al. ∙

research

∙ 03/22/2022

Open-Vocabulary DETR with Conditional Matching

Open-vocabulary object detection, which is concerned with the problem of...

3 Yuhang Zang, et al. ∙

research

∙ 11/30/2021

A Scheme of Channel Prediction Based on Artificial Neural Network

Accurate channel modeling is the foundation of communication system desi...

0 Zirui Wen, et al. ∙

research

∙ 05/28/2021

An Attention Free Transformer

We introduce Attention Free Transformer (AFT), an efficient variant of T...

37 Shuangfei Zhai, et al. ∙

research

∙ 05/16/2021

Learning Financial Network with Focally Sparse Structure

This paper studies the estimation of network connectedness with focally ...

0 Victor Chernozhukov, et al. ∙

research

∙ 04/21/2021

MetricOpt: Learning to Optimize Black-Box Evaluation Metrics

We study the problem of directly optimizing arbitrary non-differentiable...

0 Chen Huang, et al. ∙

research

∙ 04/06/2021

Radio Communication Scenarios in 5G-Railways

With the rapid development of railways, especially high-speed railways, ...

0 Ruisi He, et al. ∙

research

∙ 02/25/2021

FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation

Recent methods for long-tailed instance segmentation still struggle on r...

0 Yuhang Zang, et al. ∙

research

∙ 05/15/2019

Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment

In most machine learning training paradigms a fixed, often handcrafted, ...

5 Chen Huang, et al. ∙

research

∙ 05/03/2019

Inter-Cell Antenna Calibration for Coherent Joint Transmission in TDD System

In this work the modeling and calibration method of reciprocity error in...

0 Hanqing Xu, et al. ∙

research

∙ 03/27/2019

Dense Intrinsic Appearance Flow for Human Pose Transfer

We present a novel approach for the task of human pose transfer, which a...

6 Yining Li, et al. ∙

research

∙ 07/30/2018

Pose Guided Human Video Generation

Due to the emergence of Generative Adversarial Networks, video synthesis...

0 Ceyuan Yang, et al. ∙

research

∙ 06/13/2018

LASSO-Driven Inference in Time and Space

We consider the estimation and inference in a system of high-dimensional...

0 Victor Chernozhukov, et al. ∙

research

∙ 06/01/2018

Deep Imbalanced Learning for Face Recognition and Attribute Prediction

Data for face analysis often exhibit highly-skewed class distribution, i...

8 Chen Huang, et al. ∙

research

∙ 04/24/2018

Mask-aware Photorealistic Face Attribute Manipulation

The task of face attribute manipulation has found increasing application...

0 Ruoqi Sun, et al. ∙

research

∙ 03/11/2018

Learning Partially Structured Environmental Dynamics for Marine Robotic Navigation

We investigate the scenario that a robot needs to reach a designated goa...

0 Chen Huang, et al. ∙

research

∙ 12/07/2017

CNNs are Globally Optimal Given Multi-Layer Support

Stochastic Gradient Descent (SGD) is the central workhorse for training ...

0 Chen Huang, et al. ∙

research

∙ 08/09/2017

Learning Policies for Adaptive Tracking with Deep Feature Cascades

Visual object tracking is a fundamental and time-critical vision task. R...

0 Chen Huang, et al. ∙

research

∙ 08/09/2017

Learning to Disambiguate by Asking Discriminative Questions

The ability to ask questions is a powerful tool to gather information in...

0 Yining Li, et al. ∙

research

∙ 03/17/2017

Need for Speed: A Benchmark for Higher Frame Rate Object Tracking

In this paper, we propose the first higher frame rate video dataset (cal...

0 Hamed Kiani Galoogahi, et al. ∙

research

∙ 10/27/2016

Local Similarity-Aware Deep Feature Embedding

Existing deep embedding methods in vision tasks are capable of learning ...

0 Chen Huang, et al. ∙

research

∙ 02/03/2016

Discriminative Sparse Neighbor Approximation for Imbalanced Learning

Data imbalance is common in many vision tasks where one or more classes ...

0 Chen Huang, et al. ∙

Chen Huang

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