Search Results for author: Xiao Han

Found 49 papers, 20 papers with code

Weakly Supervised Semantic Segmentation with Boundary Exploration

1 code implementation ECCV 2020 Liyi Chen, Weiwei Wu, Chenchen Fu, Xiao Han, Yuntao Zhang

Weakly supervised semantic segmentation with image-level labels has attracted a lot of attention recently because these labels are already available in most datasets.

Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation

Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search

no code implementations Findings (EMNLP) 2021 Shuxian Bi, Chaozhuo Li, Xiao Han, Zheng Liu, Xing Xie, Haizhen Huang, Zengxuan Wen

As the fundamental basis of sponsored search, relevance modeling has attracted increasing attention due to the tremendous practical value.


Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information

no code implementations20 Sep 2023 Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang

First, to solve the problem of inconsistency of codec caused by the uncertainty of floating point calculations across platforms, we design a calibration transmitting system to guarantee the consistent quantization of entropy parameters between the encoding and decoding stages.


VIGC: Visual Instruction Generation and Correction

1 code implementation24 Aug 2023 Bin Wang, Fan Wu, Xiao Han, Jiahui Peng, Huaping Zhong, Pan Zhang, Xiaoyi Dong, Weijia Li, Wei Li, Jiaqi Wang, Conghui He

A practical solution to this problem would be to utilize the available multimodal large language models (MLLMs) to generate instruction data for vision-language tasks.

Image Captioning Language Modelling

Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression

1 code implementation15 Aug 2023 Yue Lv, Jinxi Xiang, Jun Zhang, Wenming Yang, Xiao Han, Wei Yang

We thus introduce a dynamic gating network on top of the low-rank adaptation method, in order to decide which decoder layer should employ adaptation.

Image Compression

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

no code implementations13 Aug 2023 Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, Wei Yang

Despite the simplicity of our method, an IP-Adapter with only 22M parameters can achieve comparable or even better performance to a fully fine-tuned image prompt model.

Image Generation Prompt Engineering

RLTF: Reinforcement Learning from Unit Test Feedback

1 code implementation10 Jul 2023 Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye

To address these issues, we proposed RLTF, i. e., Reinforcement Learning from Unit Test Feedback, a novel online RL framework with unit test feedback of multi-granularity for refining code LLMs.

Code Generation Program Synthesis +2

HeadSculpt: Crafting 3D Head Avatars with Text

no code implementations5 Jun 2023 Xiao Han, Yukang Cao, Kai Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang, Kwan-Yee K. Wong

Specifically, we first equip the diffusion model with 3D awareness by leveraging landmark-based control and a learned textual embedding representing the back view appearance of heads, enabling 3D-consistent head avatar generations.

Achieving Counterfactual Fairness for Anomaly Detection

1 code implementation4 Mar 2023 Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan

Ensuring fairness in anomaly detection models has received much attention recently as many anomaly detection applications involve human beings.

Anomaly Detection Fairness

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

1 code implementation CVPR 2023 Xiao Han, Xiatian Zhu, Licheng Yu, Li Zhang, Yi-Zhe Song, Tao Xiang

In the fashion domain, there exists a variety of vision-and-language (V+L) tasks, including cross-modal retrieval, text-guided image retrieval, multi-modal classification, and image captioning.

Cross-Modal Retrieval Image Captioning +4

Slate-Aware Ranking for Recommendation

1 code implementation24 Feb 2023 Yi Ren, Xiao Han, Xu Zhao, Shenzheng Zhang, Yan Zhang

Therefore, the ranking stage is still essential for most applications to provide high-quality candidate set for the re-ranking stage.

Recommendation Systems Re-Ranking

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

no code implementations11 Feb 2023 Ruiqing Ding, Fangjie Rong, Xiao Han, Leye Wang

In this paper, for a common disease in ICU patients, sepsis, we propose a novel cross-center collaborative learning framework guided by medical knowledge, SofaNet, to achieve early recognition of this disease.

Transfer Learning

Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks

no code implementations11 Feb 2023 Chung-ju Huang, Leye Wang, Xiao Han

In order to improve the information-sharing capability and innovation of various healthcare-related institutions, and then to establish a next-generation open medical collaboration network, we propose a unified framework for vertical federated knowledge transfer mechanism (VFedTrans) based on a novel cross-hospital representation distillation component.

Federated Learning Privacy Preserving +2

Artificial intelligence for diagnosing and predicting survival of patients with renal cell carcinoma: Retrospective multi-center study

no code implementations12 Jan 2023 Siteng Chen, Xiyue Wang, Jun Zhang, Liren Jiang, Ning Zhang, Feng Gao, Wei Yang, Jinxi Xiang, Sen yang, Junhua Zheng, Xiao Han

The OSrisk for the prediction of 5-year survival status achieved AUC of 0. 784 (0. 746-0. 819) in the TCGA cohort, which was further verified in the independent General cohort and the CPTAC cohort, with AUC of 0. 774 (0. 723-0. 820) and 0. 702 (0. 632-0. 765), respectively.

whole slide images

A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks

no code implementations10 Dec 2022 Ruiqing Ding, Xiao Han, Leye Wang

We propose KnowledgeDA, a unified domain language model development service to enhance the task-specific training procedure with domain knowledge graphs.

Knowledge Graphs Language Modelling +2

On Root Cause Localization and Anomaly Mitigation through Causal Inference

1 code implementation8 Dec 2022 Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan

After that, we further propose an anomaly mitigation approach that aims to recommend mitigation actions on abnormal features to revert the abnormal outcomes such that the counterfactuals guided by the causal mechanism are normal.

Anomaly Detection Causal Inference

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

1 code implementation4 Dec 2022 Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang

Most of the existing methods rely on a multiple instance learning framework that requires densely sampling local patches at high magnification.

Benchmarking Decision Making +4

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

no code implementations29 Nov 2022 Jie Fu, Zhili Chen, Xiao Han

The heterogeneity and convergence of training parameters were simply not considered.

Federated Learning

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

no code implementations22 Nov 2022 Xiao Han, Peishan Cong, Lan Xu, Jingya Wang, Jingyi Yu, Yuexin Ma

LiDAR can capture accurate depth information in large-scale scenarios without the effect of light conditions, and the captured point cloud contains gait-related 3D geometric properties and dynamic motion characteristics.

Gait Recognition in the Wild

DeepNoise: Signal and Noise Disentanglement based on Classifying Fluorescent Microscopy Images via Deep Learning

1 code implementation13 Sep 2022 Sen yang, Tao Shen, Yuqi Fang, Xiyue Wang, Jun Zhang, Wei Yang, Junzhou Huang, Xiao Han

The high-content image-based assay is commonly leveraged for identifying the phenotypic impact of genetic perturbations in biology field.

Disentanglement Drug Discovery +1

Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment

1 code implementation11 Aug 2022 Jie Zhu, Leye Wang, Xiao Han

By simulating the attack mechanism as the safety test, SafeCompress can automatically compress a big model to a small one following the dynamic sparse training paradigm.

Inference Attack Membership Inference Attack +1

NMR spectrum reconstruction as a pattern recognition problem

no code implementations4 Aug 2022 Amir Jahangiri, Xiao Han, Dmitry Lesovoy, Tatiana Agback, Peter Agback, Adnane Achour, Vladislav Orekhov

A new deep neural network based on the WaveNet architecture (WNN) is presented, which is designed to grasp specific patterns in the NMR spectra.

Large-Scale Product Retrieval with Weakly Supervised Representation Learning

1 code implementation1 Aug 2022 Xiao Han, Kam Woh Ng, Sauradip Nag, Zhiyu Qu

Large-scale weakly supervised product retrieval is a practically useful yet computationally challenging problem.

Multi-Label Classification Representation Learning +2

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

1 code implementation17 Jul 2022 Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang

We thus propose a Multi-View Contrastive Learning task for pulling closer the visual representation of one image to the compositional multimodal representation of another image+text.

Contrastive Learning Image Retrieval +2

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

no code implementations28 May 2022 Xiao Han, Leye Wang, Junjie Wu, Yuncong Yang

Basically, we propose to perturb the original network by adding or removing links, and expect the embedding generated on the perturbed network can leak little information about private links but hold high utility for various downstream tasks.

Network Embedding Privacy Preserving

Deep learning-based approach to reveal tumor mutational burden status from whole slide images across multiple cancer types

no code implementations7 Apr 2022 Siteng Chen, Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen yang, Junzhou Huang, Wei Yang, Junhua Zheng, Xiao Han

MC-TMB algorithm also exhibited good generalization on the external validation cohort with an AUC of 0. 732 (0. 683-0. 761), and better performance when compared to other methods.

whole slide images

UIGR: Unified Interactive Garment Retrieval

1 code implementation6 Apr 2022 Xiao Han, Sen He, Li Zhang, Yi-Zhe Song, Tao Xiang

In this paper, we propose a Unified Interactive Garment Retrieval (UIGR) framework to unify TGR and VCR.


Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification

1 code implementation CVPR 2022 Yonghang Guan, Jun Zhang, Kuan Tian, Sen yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han

In this paper, we propose a hierarchical global-to-local clustering strategy to build a Node-Aligned GCN (NAGCN) to represent WSI with rich local structural information as well as global distribution.

Clustering graph construction +2

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

no code implementations15 Dec 2021 Xiao Han, Leye Wang, Junjie Wu

Federated learning (FL) is a promising machine learning paradigm that enables cross-party data collaboration for real-world AI applications in a privacy-preserving and law-regulated way.

Data Valuation Federated Learning +1

HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing

no code implementations15 Dec 2021 Xiao Han, Yuncong Yang, Junjie Wu

We then design a novel hybrid protection mechanism called HyObscure, to cross-iteratively optimize the generalization and obfuscation operations for maximum privacy protection under a certain utility guarantee.

Privacy Preserving

Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers

no code implementations4 Dec 2021 Renzhen Wang, De Cai, Kaiwen Xiao, Xixi Jia, Xiao Han, Deyu Meng

In this paper, we propose Label Hierarchy Transition, a unified probabilistic framework based on deep learning, to address hierarchical classification.

Classification Multi-class Classification +1

Text-Based Person Search with Limited Data

1 code implementation20 Oct 2021 Xiao Han, Sen He, Li Zhang, Tao Xiang

Firstly, to fully utilize the existing small-scale benchmarking datasets for more discriminative feature learning, we introduce a cross-modal momentum contrastive learning framework to enrich the training data for a given mini-batch.

Ranked #7 on Text based Person Retrieval on CUHK-PEDES (using extra training data)

Benchmarking Contrastive Learning +7

Label Confusion Learning to Enhance Text Classification Models

1 code implementation9 Dec 2020 Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu

LCM can learn label confusion to capture semantic overlap among labels by calculating the similarity between instances and labels during training and generate a better label distribution to replace the original one-hot label vector, thus improving the final classification performance.

General Classification text-classification +1

Federated Crowdsensing: Framework and Challenges

no code implementations6 Nov 2020 Leye Wang, Han Yu, Xiao Han

In particular, we first propose a federated crowdsensing framework, which analyzes the privacy concerns of each crowdsensing stage (i. e., task creation, task assignment, task execution, and data aggregation) and discuss how federated learning techniques may take effect.

Federated Learning

Microscope Based HER2 Scoring System

no code implementations15 Sep 2020 Jun Zhang, Kuan Tian, Pei Dong, Haocheng Shen, Kezhou Yan, Jianhua Yao, Junzhou Huang, Xiao Han

Recently, artificial intelligence (AI) has been used in various disease diagnosis to improve diagnostic accuracy and reliability, but the interpretation of diagnosis results is still an open problem.

IEEE 802.11be-Wi-Fi 7: New Challenges and Opportunities

no code implementations27 Jul 2020 Cailian Deng, Xuming Fang, Xiao Han, Xianbin Wang, Li Yan, Rong He, Yan Long, Yuchen Guo

Due to the related stringent requirements, supporting these applications over wireless local area network (WLAN) is far beyond the capabilities of the new WLAN standard -- IEEE 802. 11ax.

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

1 code implementation EMNLP (sdp) 2020 Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin

We present Covidex, a search engine that exploits the latest neural ranking models to provide information access to the COVID-19 Open Research Dataset curated by the Allen Institute for AI.

SIMPLE: Statistical Inference on Membership Profiles in Large Networks

no code implementations3 Oct 2019 Jianqing Fan, Yingying Fan, Xiao Han, Jinchi Lv

Both tests are of the Hotelling-type statistics based on the rows of empirical eigenvectors or their ratios, whose asymptotic covariance matrices are very challenging to derive and estimate.

Multi-Perspective Neural Architecture for Recommendation System

no code implementations12 Jul 2018 Xiao Han, Chen Yidong, Shi Xiaodong

In one stage, the user and item are represented from multiple perspectives and in each perspective, the representations of user and item put attentions to each other.

Recommendation Systems

Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method

no code implementations24 Apr 2017 Xiao Han

Liver lesion segmentation is an important step for liver cancer diagnosis, treatment planning and treatment evaluation.

Lesion Segmentation Tumor Segmentation

MR-based synthetic CT generation using a deep convolutional neural network method

1 code implementation journal 2017 Xiao Han

Applying a trained model to generate a complete sCT volume for each new patient MR image only took 9 s, which was much faster than the atlas‐based approach.

Transfer Learning

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