b'Xiao Han'

research

∙ 07/10/2023

RLTF: Reinforcement Learning from Unit Test Feedback

The goal of program synthesis, or code generation, is to generate execut...

0 Jiate Liu, et al. ∙

research

∙ 06/05/2023

HeadSculpt: Crafting 3D Head Avatars with Text

Recently, text-guided 3D generative methods have made remarkable advance...

0 Xiao Han, et al. ∙

research

∙ 03/04/2023

FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks

In the fashion domain, there exists a variety of vision-and-language (V+...

0 Xiao Han, et al. ∙

research

∙ 03/04/2023

Achieving Counterfactual Fairness for Anomaly Detection

Ensuring fairness in anomaly detection models has received much attentio...

0 Xiao Han, et al. ∙

research

∙ 02/24/2023

Slate-Aware Ranking for Recommendation

We see widespread adoption of slate recommender systems, where an ordere...

0 Yi Ren, et al. ∙

research

∙ 02/11/2023

Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals

There are significant regional inequities in health resources around the...

0 Ruiqing Ding, et al. ∙

research

∙ 02/11/2023

Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks

Collaboration between healthcare institutions can significantly lessen t...

0 Chung-ju Huang, et al. ∙

research

∙ 12/10/2022

A Unified Knowledge Graph Service for Developing Domain Language Models in AI Software

Natural Language Processing (NLP) is one of the core techniques in AI so...

0 Ruiqing Ding, et al. ∙

research

∙ 12/08/2022

On Interpretable Anomaly Detection Using Causal Algorithmic Recourse

As many deep anomaly detection models have been deployed in the real-wor...

0 Xiao Han, et al. ∙

research

∙ 12/04/2022

RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning

Whole-slide images (WSI) in computational pathology have high resolution...

27 Boxuan Zhao, et al. ∙

research

∙ 11/29/2022

Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise

Federated learning seeks to address the issue of isolated data islands b...

0 Jie Fu, et al. ∙

research

∙ 11/22/2022

LiCamGait: Gait Recognition in the Wild by Using LiDAR and Camera Multi-modal Visual Sensors

LiDAR can capture accurate depth information in large-scale scenarios wi...

0 Xiao Han, et al. ∙

research

∙ 10/18/2022

RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction

Bilingual lexicon induction induces the word translations by aligning in...

0 Zhoujin Tian, et al. ∙

research

∙ 08/01/2022

Large-Scale Product Retrieval with Weakly Supervised Representation Learning

Large-scale weakly supervised product retrieval is a practically useful ...

0 Xiao Han, et al. ∙

research

∙ 07/17/2022

FashionViL: Fashion-Focused Vision-and-Language Representation Learning

Large-scale Vision-and-Language (V+L) pre-training for representation le...

10 Xiao Han, et al. ∙

research

∙ 05/28/2022

Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks

Network embedding represents network nodes by a low-dimensional informat...

0 Xiao Han, et al. ∙

research

∙ 04/06/2022

UIGR: Unified Interactive Garment Retrieval

Interactive garment retrieval (IGR) aims to retrieve a target garment im...

13 Xiao Han, et al. ∙

research

∙ 01/10/2022

Spiked eigenvalues of high-dimensional sample autocovariance matrices: CLT and applications

High-dimensional autocovariance matrices play an important role in dimen...

0 Daning Bi, et al. ∙

research

∙ 12/15/2021

HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing

Minimizing privacy leakage while ensuring data utility is a critical pro...

0 Xiao Han, et al. ∙

research

∙ 12/15/2021

Data Valuation for Vertical Federated Learning: An Information-Theoretic Approach

Federated learning (FL) is a promising machine learning paradigm that en...

0 Xiao Han, et al. ∙

research

∙ 12/04/2021

Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers

Hierarchical classification aims to sort the object into a hierarchy of ...

0 Renzhen Wang, et al. ∙

research

∙ 11/23/2021

CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning

Labels are costly and sometimes unreliable. Noisy label learning, semi-s...

0 Xin Zhang, et al. ∙

research

∙ 10/20/2021

Text-Based Person Search with Limited Data

Text-based person search (TBPS) aims at retrieving a target person from ...

9 Xiao Han, et al. ∙

research

∙ 04/06/2021

Misbehavior Detection in Wi-Fi/LTE Coexistence over Unlicensed Bands

We consider the problem of fair coexistence between LTE and Wi-Fi system...

0 Islam Samy, et al. ∙

research

∙ 12/09/2020

Label Confusion Learning to Enhance Text Classification Models

Representing a true label as a one-hot vector is a common practice in tr...

0 Biyang Guo, et al. ∙

research

∙ 11/06/2020

Federated Crowdsensing: Framework and Challenges

Crowdsensing is a promising sensing paradigm for smart city applications...

0 Leye Wang, et al. ∙

research

∙ 09/15/2020

Microscope Based HER2 Scoring System

The overexpression of human epidermal growth factor receptor 2 (HER2) ha...

0 Jun Zhang, et al. ∙

research

∙ 07/14/2020

Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset

We present Covidex, a search engine that exploits the latest neural rank...

0 Edwin Zhang, et al. ∙

research

∙ 12/25/2019

Universal Rank Inference via Residual Subsampling with Application to Large Networks

Determining the precise rank is an important problem in many large-scale...

0 Xiao Han, et al. ∙

research

∙ 12/19/2019

Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection

Deep learning demands a huge amount of well-labeled data to train the ne...

25 Xiao Han, et al. ∙

research

∙ 12/08/2019

High-Freedom Inverse Design with Deep Neural Network for Metasurface Filter in the Visible

In order to obtain a metasurface structure capable of filtering the ligh...

0 Xiao Han, et al. ∙

research

∙ 10/19/2019

CreditPrint: Credit Investigation via Geographic Footprints by Deep Learning

Credit investigation is critical for financial services. Whereas, tradit...

0 Xiao Han, et al. ∙

research

∙ 10/16/2019

Joint Transmit and Reflective Beamforming Design for IRS-Assisted Multiuser MISO SWIPT Systems

This paper studies an intelligent reflecting surface (IRS)-assisted mult...

0 Yizheng Tang, et al. ∙

research

∙ 10/03/2019

SIMPLE: Statistical Inference on Membership Profiles in Large Networks

Network data is prevalent in many contemporary big data applications in ...

8 Jianqing Fan, et al. ∙

research

∙ 02/19/2019

Asymptotic Theory of Eigenvectors for Large Random Matrices

Characterizing the exact asymptotic distributions of high-dimensional ei...

0 Jianqing Fan, et al. ∙

research

∙ 01/13/2019

The Liver Tumor Segmentation Benchmark (LiTS)

In this work, we report the set-up and results of the Liver Tumor Segmen...

8 Patrick Bilic, et al. ∙

research

∙ 03/21/2018

IEEE 802.11ay based mmWave WLANs: Design Challenges and Solutions

Millimeter-wave (mmWave) with large spectrum available is considered as ...

0 Pei Zhou, et al. ∙

research

∙ 11/01/2017

Limiting Laws for Divergent Spiked Eigenvalues and Largest Non-spiked Eigenvalue of Sample Covariance Matrices

We study the asymptotic distributions of the spiked eigenvalues and the ...

0 Tony Cai, et al. ∙

research

∙ 10/28/2017

Geographic Differential Privacy for Mobile Crowd Coverage Maximization

For real-world mobile applications such as location-based advertising an...

0 Leye Wang, et al. ∙

Xiao Han

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