Search Results for author: Jia Wang

Found 47 papers, 12 papers with code

Subjective and Objective Quality-of-Experience Evaluation Study for Live Video Streaming

no code implementations26 Sep 2024 Zehao Zhu, Wei Sun, Jun Jia, Wei Wu, Sibin Deng, Kai Li, Ying Chen, Xiongkuo Min, Jia Wang, Guangtao Zhai

For the subjective QoE study, we introduce the first live video streaming QoE dataset, TaoLive QoE, which consists of $42$ source videos collected from real live broadcasts and $1, 155$ corresponding distorted ones degraded due to a variety of streaming distortions, including conventional streaming distortions such as compression, stalling, as well as live streaming-specific distortions like frame skipping, variable frame rate, etc.

Optical Flow Estimation

UET4Rec: U-net Encapsulated Transformer for Sequential Recommender

1 code implementation Expert Systems with Applications 2024 Jia Wang, Marvin John Ignacio, Seunghee Yu, Hulin Jin, Yong-Guk Kim

One of the core components in the recommender systems is a sequential model with which an input sequence is transformed into the predicted items.

Recommendation Systems

Generative Iris Prior Embedded Transformer for Iris Restoration

1 code implementation28 Jun 2024 Yubo Huang, Jia Wang, Peipei Li, Liuyu Xiang, Peigang Li, Zhaofeng He

In this work, we propose a generative iris prior embedded Transformer model (Gformer), in which we build a hierarchical encoder-decoder network employing Transformer block and generative iris prior.

Decoder Generative Adversarial Network +1

MM-Instruct: Generated Visual Instructions for Large Multimodal Model Alignment

2 code implementations28 Jun 2024 Jihao Liu, Xin Huang, Jinliang Zheng, Boxiao Liu, Jia Wang, Osamu Yoshie, Yu Liu, Hongsheng Li

This paper introduces MM-Instruct, a large-scale dataset of diverse and high-quality visual instruction data designed to enhance the instruction-following capabilities of large multimodal models (LMMs).

Answer Generation Image Captioning +5

Quality-guided Skin Tone Enhancement for Portrait Photography

no code implementations22 Jun 2024 Shiqi Gao, Huiyu Duan, Xinyue Li, Kang Fu, Yicong Peng, Qihang Xu, Yuanyuan Chang, Jia Wang, Xiongkuo Min, Guangtao Zhai

In this paper, we propose a quality-guided image enhancement paradigm that enables image enhancement models to learn the distribution of images with various quality ratings.

Image Enhancement

Debiasing Machine Unlearning with Counterfactual Examples

no code implementations24 Apr 2024 Ziheng Chen, Jia Wang, Jun Zhuang, Abbavaram Gowtham Reddy, Fabrizio Silvestri, Jin Huang, Kaushiki Nag, Kun Kuang, Xin Ning, Gabriele Tolomei

This bias emerges from two main sources: (1) data-level bias, characterized by uneven data removal, and (2) algorithm-level bias, which leads to the contamination of the remaining dataset, thereby degrading model accuracy.

counterfactual Machine Unlearning

First Mapping the Canopy Height of Primeval Forests in the Tallest Tree Area of Asia

no code implementations23 Apr 2024 Guangpeng Fan, Fei Yan, Xiangquan Zeng, Qingtao Xu, Ruoyoulan Wang, Binghong Zhang, Jialing Zhou, Liangliang Nan, Jinhu Wang, Zhiwei Zhang, Jia Wang

We proposed a method to map the canopy height of the primeval forest within the world-level giant tree distribution area by using a spaceborne LiDAR fusion satellite imagery (Global Ecosystem Dynamics Investigation (GEDI), ICESat-2, and Sentinel-2) driven deep learning modeling.

Document Set Expansion with Positive-Unlabelled Learning Using Intractable Density Estimation

1 code implementation26 Mar 2024 Haiyang Zhang, Qiuyi Chen, Yuanjie Zou, Yushan Pan, Jia Wang, Mark Stevenson

The Document Set Expansion (DSE) task involves identifying relevant documents from large collections based on a limited set of example documents.

Density Estimation

SensoryT5: Infusing Sensorimotor Norms into T5 for Enhanced Fine-grained Emotion Classification

no code implementations22 Mar 2024 Yuhan Xia, Qingqing Zhao, Yunfei Long, Ge Xu, Jia Wang

In traditional research approaches, sensory perception and emotion classification have traditionally been considered separate domains.

Classification Emotion Classification

AttentionLut: Attention Fusion-based Canonical Polyadic LUT for Real-time Image Enhancement

no code implementations3 Jan 2024 Kang Fu, Yicong Peng, ZiCheng Zhang, Qihang Xu, Xiaohong Liu, Jia Wang, Guangtao Zhai

Subsequently, the attention fusion module integrates the image feature with the priori attention feature obtained during training to generate image-adaptive canonical polyadic tensors.

Image Enhancement

Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation

1 code implementation CVPR 2024 Xin Fan, Xiaolin Wang, Jiaxin Gao, Jia Wang, Zhongxuan Luo, Risheng Liu

One prevalent method to address one-shot MIS is joint registration and segmentation (JRS) with a shared encoder which mainly explores the voxel-wise correspondence between the labeled data and unlabeled data for better segmentation.

Data Augmentation Image Segmentation +3

Fast data-driven iterative learning control for linear system with output disturbance

no code implementations21 Dec 2023 Jia Wang, Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos

This paper studies data-driven iterative learning control (ILC) for linear time-invariant (LTI) systems with unknown dynamics, output disturbances and input box-constraints.

Dynamic Fair Federated Learning Based on Reinforcement Learning

no code implementations2 Nov 2023 Weikang Chen, Junping Du, Yingxia Shao, Jia Wang, Yangxi Zhou

Federated learning enables a collaborative training and optimization of global models among a group of devices without sharing local data samples.

Fairness Federated Learning +2

RAWIW: RAW Image Watermarking Robust to ISP Pipeline

no code implementations28 Jul 2023 Kang Fu, Xiaohong Liu, Jun Jia, ZiCheng Zhang, Yicong Peng, Jia Wang, Guangtao Zhai

To achieve end-to-end training of the framework, we integrate a neural network that simulates the ISP pipeline to handle the RAW-to-RGB conversion process.

Emulating Reader Behaviors for Fake News Detection

no code implementations27 Jun 2023 Junwei Yin, Min Gao, Kai Shu, Zehua Zhao, Yinqiu Huang, Jia Wang

To this end, we propose an approach of Emulating the behaviors of readers (Ember) for fake news detection on social media, incorporating readers' reading and verificating process to model news from the component perspective thoroughly.

Fake News Detection

The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples

no code implementations30 Apr 2023 Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei

By reversing the learning process of the recommendation model, we thus develop a proficient greedy algorithm to generate fabricated user profiles and their associated interaction records for the aforementioned surrogate model.

counterfactual Counterfactual Explanation +4

Accelerating Wireless Federated Learning via Nesterov's Momentum and Distributed Principle Component Analysis

no code implementations31 Mar 2023 Yanjie Dong, Luya Wang, Yuanfang Chi, Jia Wang, Haijun Zhang, Fei Richard Yu, Victor C. M. Leung, Xiping Hu

A wireless federated learning system is investigated by allowing a server and workers to exchange uncoded information via orthogonal wireless channels.

Federated Learning

Masked Autoencoders as Image Processors

1 code implementation30 Mar 2023 Huiyu Duan, Wei Shen, Xiongkuo Min, Danyang Tu, Long Teng, Jia Wang, Guangtao Zhai

Recently, masked autoencoders (MAE) for feature pre-training have further unleashed the potential of Transformers, leading to state-of-the-art performances on various high-level vision tasks.

Deblurring Image Defocus Deblurring +2

6DOF Pose Estimation of a 3D Rigid Object based on Edge-enhanced Point Pair Features

no code implementations17 Sep 2022 Chenyi Liu, Fei Chen, Lu Deng, Renjiao Yi, Lintao Zheng, Chenyang Zhu, Jia Wang, Kai Xu

We introduce a well-targeted down-sampling strategy that focuses more on edge area for efficient feature extraction of complex geometry.

6D Pose Estimation

GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations

no code implementations4 Aug 2022 Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Zhenhua Huang, Hongshik Ahn, Gabriele Tolomei

Although powerful, it is very difficult for a GNN-based recommender system to attach tangible explanations of why a specific item ends up in the list of suggestions for a given user.

counterfactual Graph Classification +1

Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach

no code implementations28 Jun 2022 Naifu Zhang, Meixia Tao, Jia Wang, Fan Xu

One of the main focuses in distributed learning is communication efficiency, since model aggregation at each round of training can consist of millions to billions of parameters.

Model Compression Quantization

Sentiment Analysis of Online Travel Reviews Based on Capsule Network and Sentiment Lexicon

no code implementations5 Jun 2022 Jia Wang, Junping Du, Yingxia Shao, Ang Li

In this paper, we study the text sentiment classification of online travel reviews based on social media online comments and propose the SCCL model based on capsule network and sentiment lexicon.

Language Modelling Sentiment Analysis +1

A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment

no code implementations27 Jan 2022 Xizhe Wang, Ning Zhang, Jia Wang, Jing Ni, Xinzi Sun, John Zhang, Zitao Liu, Yu Cao, Benyuan Liu

To improve the IVF success rate, we propose a knowledge-based decision support system that can provide medical advice on the treatment protocol and medication adjustment for each patient visit during IVF treatment cycle.

Retrieval

Bounds all around: training energy-based models with bidirectional bounds

no code implementations NeurIPS 2021 Cong Geng, Jia Wang, Zhiyong Gao, Jes Frellsen, Søren Hauberg

Energy-based models (EBMs) provide an elegant framework for density estimation, but they are notoriously difficult to train.

Density Estimation

ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models

1 code implementation22 Oct 2021 Ziheng Chen, Fabrizio Silvestri, Jia Wang, He Zhu, Hongshik Ahn, Gabriele Tolomei

However, existing CF generation methods either exploit the internals of specific models or depend on each sample's neighborhood, thus they are hard to generalize for complex models and inefficient for large datasets.

counterfactual Decision Making +3

Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos

no code implementations15 May 2021 Lei Sun, Jia Wang, Kailun Yang, Kaikai Wu, Xiangdong Zhou, Kaiwei Wang, Jian Bai

A lightweight panoramic annular semantic segmentation neural network model is designed to achieve high-accuracy and real-time scene parsing.

Scene Parsing Scene Segmentation +1

An Improved Discriminative Optimization for 3D Rigid Point Cloud Registration

no code implementations18 Apr 2021 Jia Wang, Ping Wang, Biao Li, Ruigang Fu, Junzheng Wu

The Discriminative Optimization (DO) algorithm has been proved much successful in 3D point cloud registration.

Point Cloud Registration

Sum-Rate-Distortion Function for Indirect Multiterminal Source Coding in Federated Learning

no code implementations21 Jan 2021 Naifu Zhang, Meixia Tao, Jia Wang

In FL, however, the model update is an indirect multi-terminal source coding problem, also called as the CEO problem where each edge device cannot observe directly the gradient that is to be reconstructed at the decoder, but is rather provided only with a noisy version.

Decoder Federated Learning

KNN-enhanced Deep Learning Against Noisy Labels

no code implementations8 Dec 2020 Shuyu Kong, You Li, Jia Wang, Amin Rezaei, Hai Zhou

Inspired by the robustness of K-Nearest Neighbors (KNN) against data noise, in this work, we propose to apply deep KNN for label cleanup.

Deep Learning

A Learning-based Optimization Algorithm:Image Registration Optimizer Network

1 code implementation23 Nov 2020 Jia Wang, Ping Wang, Biao Li, Yinghui Gao, Siyi Zhao

As the search space of registration is usually non-convex, the optimization algorithm, which aims to search the best transformation parameters, is a challenging step.

Image Registration

Generative Model without Prior Distribution Matching

no code implementations23 Sep 2020 Cong Geng, Jia Wang, Li Chen, Zhiyong Gao

Variational Autoencoder (VAE) and its variations are classic generative models by learning a low-dimensional latent representation to satisfy some prior distribution (e. g., Gaussian distribution).

Uniform Interpolation Constrained Geodesic Learning on Data Manifold

no code implementations12 Feb 2020 Cong Geng, Jia Wang, Li Chen, Wenbo Bao, Chu Chu, Zhiyong Gao

Based on this defined Riemannian metric, we introduce a constant speed loss and a minimizing geodesic loss to regularize the interpolation network to generate uniform interpolation along the learned geodesic on the manifold.

Translation

Alleviation of Gradient Exploding in GANs: Fake Can Be Real

no code implementations CVPR 2020 Song Tao, Jia Wang

In order to alleviate the notorious mode collapse phenomenon in generative adversarial networks (GANs), we propose a novel training method of GANs in which certain fake samples are considered as real ones during the training process.

Efficient training and design of photonic neural network through neuroevolution

no code implementations4 Aug 2019 Tian Zhang, Jia Wang, Yihang Dan, Yuxiang Lanqiu, Jian Dai, Xu Han, Xiaojuan Sun, Kun Xu

Recently, optical neural networks (ONNs) integrated in photonic chips has received extensive attention because they are expected to implement the same pattern recognition tasks in the electronic platforms with high efficiency and low power consumption.

 Ranked #1 on Reinforcement Learning on iris (using extra training data)

Reinforcement Learning

Understanding VAEs in Fisher-Shannon Plane

no code implementations10 Jul 2018 Huangjie Zheng, Jiangchao Yao, Ya zhang, Ivor W. Tsang, Jia Wang

In information theory, Fisher information and Shannon information (entropy) are respectively used to quantify the uncertainty associated with the distribution modeling and the uncertainty in specifying the outcome of given variables.

Decoder Representation Learning

Joint Topic-Semantic-aware Social Recommendation for Online Voting

1 code implementation3 Dec 2017 Hongwei Wang, Jia Wang, Miao Zhao, Jiannong Cao, Minyi Guo

JTS-MF model calculates similarity among users and votings by combining their TEWE representation and structural information of social networks, and preserves this topic-semantic-social similarity during matrix factorization.

Topological Recurrent Neural Network for Diffusion Prediction

1 code implementation28 Nov 2017 Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang

As a result, we introduce a new data model, namely diffusion topologies, to fully describe the cascade structure.

Representation Learning

Unsupervised Triplet Hashing for Fast Image Retrieval

no code implementations28 Feb 2017 Shanshan Huang, Yichao Xiong, Ya zhang, Jia Wang

Considering the difficulty in obtaining labeled datasets for image retrieval task in large scale, we propose a novel CNN-based unsupervised hashing method, namely Unsupervised Triplet Hashing (UTH).

Image Retrieval Quantization +2

Truss Decomposition in Massive Networks

4 code implementations30 May 2012 Jia Wang, James Cheng

We first improve the existing in-memory algorithm for computing k-truss in networks of moderate size.

Databases

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