Search Results for author: Yang Yang

Found 220 papers, 63 papers with code

A Progressive Framework for Role-Aware Rumor Resolution

1 code implementation COLING 2022 Lei Chen, Guanying Li, Zhongyu Wei, Yang Yang, Baohua Zhou, Qi Zhang, Xuanjing Huang

Existing works on rumor resolution have shown great potential in recognizing word appearance and user participation.

VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum

no code implementations9 Jan 2023 Huanyu Bian, Zhilong Jia, Menghan Dou, Yuan Fang, Lei LI, Yiming Zhao, Hanchao Wang, Zhaohui Zhou, Wei Wang, Wenyu Zhu, Ye Li, Yang Yang, Weiming Zhang, Nenghai Yu, Zhaoyun Chen, Guoping Guo

Therefore, based on VQNet 1. 0, we further propose VQNet 2. 0, a new generation of unified classical and quantum machine learning framework that supports hybrid optimization.

Quantum Machine Learning Unity

Semantic Enhanced Knowledge Graph for Large-Scale Zero-Shot Learning

no code implementations26 Dec 2022 Jiwei Wei, Yang Yang, Zeyu Ma, Jingjing Li, Xing Xu, Heng Tao Shen

In this paper, we provide a new semantic enhanced knowledge graph that contains both expert knowledge and categories semantic correlation.

Zero-Shot Learning

Holistic risk assessment of inference attacks in machine learning

no code implementations15 Dec 2022 Yang Yang

As far as concerned, researchers have studied and analyzed in depth several types of inference attacks, albeit in isolation, but there is still a lack of a holistic rick assessment of inference attacks against machine learning models, such as their application in different scenarios, the common factors affecting the performance of these attacks and the relationship among the attacks.

Inference Attack Membership Inference Attack

FakeEdge: Alleviate Dataset Shift in Link Prediction

1 code implementation29 Nov 2022 Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh V. Chawla

In this paper, we first identify the dataset shift problem in the link prediction task and provide theoretical analyses on how existing link prediction methods are vulnerable to it.

Link Prediction

Self-attention based high order sequence feature reconstruction of dynamic functional connectivity networks with rs-fMRI for brain disease classification

no code implementations19 Nov 2022 Zhixiang Zhang, Biao Jie, Zhengdong Wang, Jie zhou, Yang Yang

Dynamic functional connectivity networks (dFCN) based on rs-fMRI have demonstrated tremendous potential for brain function analysis and brain disease classification.


Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection

no code implementations17 Nov 2022 Yang Yang, Hongjian Sun, Jialei Gong, Yali Du, Di Yu

Based on the embedding tangent space, featMAP enables the interpretability by locally demonstrating the source features and feature importance.

Dimensionality Reduction Feature Importance +2

WiserVR: Semantic Communication Enabled Wireless Virtual Reality Delivery

no code implementations2 Nov 2022 Le Xia, Yao Sun, Chengsi Liang, Daquan Feng, Runze Cheng, Yang Yang, Muhammad Ali Imran

Virtual reality (VR) over wireless is expected to be one of the killer applications in next-generation communication networks.

Generating Accurate and Faithful Discharge Instructions: Task, Dataset, and Model

2 code implementations23 Oct 2022 Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu sun, Yang Yang, David A. Clifton

We build a benchmark clinical dataset and propose the Re3Writer, which imitates the working patterns of physicians to first retrieve related working experience from historical PIs written by physicians, then reason related medical knowledge.

MMGA: Multimodal Learning with Graph Alignment

no code implementations18 Oct 2022 Xuan Yang, Quanjin Tao, Xiao Feng, Donghong Cai, Xiang Ren, Yang Yang

In this paper, we propose MMGA (Multimodal learning with Graph Alignment), a novel multimodal pre-training framework to incorporate information from graph (social network), image and text modalities on social media to enhance user representation learning.

Representation Learning

SA-DNet: A on-demand semantic object registration network adapting to non-rigid deformation

no code implementations18 Oct 2022 Housheng Xie, Junhui Qiu, Yuan Dai, Yang Yang, Changcheng Xiang, Yukuan Zhang

After utilizing TPS to transform infrared and visible images based on the corresponding feature points in sROI, the registered images are fused using image fusion module (IFM) to achieve a fully functional registration and fusion network.

Image Registration

InterFace:Adjustable Angular Margin Inter-class Loss for Deep Face Recognition

1 code implementation5 Oct 2022 Meng Sang, Jiaxuan Chen, Mengzhen Li, Pan Tan, Anning Pan, Shan Zhao, Yang Yang

In the field of face recognition, it is always a hot research topic to improve the loss solution to make the face features extracted by the network have greater discriminative power.

Face Model Face Recognition

Prompt Tuning for Graph Neural Networks

no code implementations30 Sep 2022 Taoran Fang, Yunchao Zhang, Yang Yang, Chunping Wang

In this paper, we propose Graph Prompt as an efficient and effective alternative to full fine-tuning for adapting the pre-trianed GNN models to downstream tasks.

Real-Time Cattle Interaction Recognition via Triple-stream Network

no code implementations6 Sep 2022 Yang Yang, Mizuka Komatsu, Kenji Oyama, Takenao Ohkawa

Based on this, we tackle the challenging task of real-time recognizing interactions between cattle in a single frame in this paper.

Self-Supervised Learning

Deep Joint Source-Channel Coding Based on Semantics of Pixels

no code implementations24 Aug 2022 Qizheng Sun, Caili Guo, Yang Yang, Jiujiu Chen, Rui Tang, Chuanhong Liu

The semantic information of the image for intelligent tasks is hidden behind the pixels, and slight changes in the pixels will affect the performance of intelligent tasks.

Rain Removal from Light Field Images with 4D Convolution and Multi-scale Gaussian Process

no code implementations16 Aug 2022 Tao Yan, Mingyue Li, Bin Li, Yang Yang, Rynson W. H. Lau

However, making full use of the abundant information available from LFIs, such as 2D array of sub-views and the disparity map of each sub-view, for effective rain removal is still a challenging problem.

Depth Estimation Rain Removal

Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer

no code implementations12 Aug 2022 Robert A. Marsden, Felix Wiewel, Mario Döbler, Yang Yang, Bin Yang

In this work, we focus on UDA and additionally address the case of adapting not only to a single domain, but to a sequence of target domains.

Data Augmentation Semantic Segmentation +2

OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms

no code implementations11 Aug 2022 Jia-Xin Zhuang, Xiansong Huang, Yang Yang, Jiancong Chen, Yue Yu, Wei Gao, Ge Li, Jie Chen, Tong Zhang

In this paper, we present OpenMedIA, an open-source toolbox library containing a rich set of deep learning methods for medical image analysis under heterogeneous Artificial Intelligence (AI) computing platforms.

Image Classification Medical Image Classification +2

MobileCodec: Neural Inter-frame Video Compression on Mobile Devices

no code implementations18 Jul 2022 Hoang Le, Liang Zhang, Amir Said, Guillaume Sautiere, Yang Yang, Pranav Shrestha, Fei Yin, Reza Pourreza, Auke Wiggers

Realizing the potential of neural video codecs on mobile devices is a big technological challenge due to the computational complexity of deep networks and the power-constrained mobile hardware.

Video Compression

Neural Topological Ordering for Computation Graphs

no code implementations13 Jul 2022 Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Herke van Hoof, Weiliang Will Zeng, Piero Zappi, Christopher Lott, Roberto Bondesan

Recent works on machine learning for combinatorial optimization have shown that learning based approaches can outperform heuristic methods in terms of speed and performance.

BIG-bench Machine Learning Combinatorial Optimization

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection

no code implementations30 Jun 2022 Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen

Since GAD emphasizes the application and the rarity of anomalous samples, enriching the varieties of its datasets is a fundamental work.

Anomaly Detection

Towards KAB2S: Learning Key Knowledge from Single-Objective Problems to Multi-Objective Problem

no code implementations26 Jun 2022 Xu Wendi, Wang Xianpeng, Guo Qingxin, Song Xiangman, Zhao Ren, Zhao Guodong, Yang Yang, Xu Te, He Dakuo

As "a new frontier in evolutionary computation research", evolutionary transfer optimization(ETO) will overcome the traditional paradigm of zero reuse of related experience and knowledge from solved past problems in researches of evolutionary computation.

Multiobjective Optimization Scheduling

Multi-View Clustering for Open Knowledge Base Canonicalization

1 code implementation22 Jun 2022 Wei Shen, Yang Yang, Yinan Liu

In this paper, we propose CMVC, a novel unsupervised framework that leverages these two views of knowledge jointly for canonicalizing OKBs without the need of manually annotated labels.

Open Information Extraction

AutoDisc: Automatic Distillation Schedule for Large Language Model Compression

no code implementations29 May 2022 Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song

As a connection, the scale and the performance of the teacher assistant is crucial for transferring the knowledge from the teacher to the student.

Knowledge Distillation Language Modelling +1

Measuring Perceptual Color Differences of Smartphone Photography

1 code implementation26 May 2022 Zhihua Wang, Keshuo Xu, Yang Yang, Jianlei Dong, Shuhang Gu, Lihao Xu, Yuming Fang, Kede Ma

Measuring perceptual color differences (CDs) is of great importance in modern smartphone photography.

Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications

1 code implementation22 May 2022 Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li

The design of MAFENN framework and algorithm are dedicated to enhance the learning capability of the feedfoward DL networks or their variations with the simple data feedback.

Denoising Intelligent Communication

Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech

1 code implementation ACL 2022 Yang Li, Cheng Yu, Guangzhi Sun, Hua Jiang, Fanglei Sun, Weiqin Zu, Ying Wen, Yang Yang, Jun Wang

Modelling prosody variation is critical for synthesizing natural and expressive speech in end-to-end text-to-speech (TTS) systems.

A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality

no code implementations29 Apr 2022 Toby Jia-Jun Li, Yuwen Lu, Jaylexia Clark, Meng Chen, Victor Cox, Meng Jiang, Yang Yang, Tamara Kay, Danielle Wood, Jay Brockman

The AI inequality is caused by (1) the technology divide in who has access to AI technologies in gig work; and (2) the data divide in who owns the data in gig work leads to unfair working conditions, growing pay gap, neglect of workers' diverse preferences, and workers' lack of trust in the platforms.

Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor

no code implementations28 Apr 2022 Yang Yang, Zhiying Cui, Junjie Xu, Changhong Zhong, Wei-Shi Zheng, Ruixuan Wang

In this case, updating the intelligent system with data of new diseases would inevitably downgrade its performance on previously learned diseases.

class-incremental learning Image Classification +1

DropMessage: Unifying Random Dropping for Graph Neural Networks

no code implementations21 Apr 2022 Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang

First, it is challenging to find a universal method that are suitable for all cases considering the divergence of different datasets and models.

Graph Representation Learning

Invertible Mask Network for Face Privacy-Preserving

no code implementations19 Apr 2022 Yang Yang, Yiyang Huang, Ming Shi, Kejiang Chen, Weiming Zhang, Nenghai Yu

Then, put the "Mask" face onto the protected face and generate the masked face, in which the masked face is indistinguishable from "Mask" face.

Privacy Preserving

Adaptable Semantic Compression and Resource Allocation for Task-Oriented Communications

no code implementations19 Apr 2022 Chuanhong Liu, Caili Guo, Yang Yang, Nan Jiang

To solve the problem, both compression ratio and resource allocation are optimized for the task-oriented communication system to maximize the success probability of tasks.

GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval

no code implementations18 Apr 2022 Jiduan Liu, Jiahao Liu, Yang Yang, Jingang Wang, Wei Wu, Dongyan Zhao, Rui Yan

To enhance the performance of dense retrieval models without loss of efficiency, we propose a GNN-encoder model in which query (passage) information is fused into passage (query) representations via graph neural networks that are constructed by queries and their top retrieved passages.

Natural Questions Passage Retrieval +2

Positioning Using Visible Light Communications: A Perspective Arcs Approach

no code implementations18 Apr 2022 Zhiyu Zhu, Caili Guo, Rongzhen Bao, Mingzhe Chen, Walid Saad, Yang Yang

In this paper, the arc feature of the circular luminaire and the coordinate information obtained via visible light communication (VLC) are jointly used for VLC-enabled indoor positioning, and a novel perspective arcs approach is proposed.

Completing Partial Point Clouds with Outliers by Collaborative Completion and Segmentation

no code implementations18 Mar 2022 Changfeng Ma, Yang Yang, Jie Guo, Chongjun Wang, Yanwen Guo

We propose in this paper an end-to-end network, named CS-Net, to complete the point clouds contaminated by noises or containing outliers.

Point Cloud Completion

Medium Transmission Map Matters for Learning to Restore Real-World Underwater Images

1 code implementation17 Mar 2022 Yan Kai, Liang Lanyue, Zheng Ziqiang, Wang Guoqing, Yang Yang

Underwater visual perception is essentially important for underwater exploration, archeology, ecosystem and so on.

Image Enhancement Image Restoration

Adaptive Information Bottleneck Guided Joint Source-Channel Coding

no code implementations12 Mar 2022 Lunan Sun, Caili Guo, Yang Yang

Joint source channel coding (JSCC) has attracted increasing attentions due to its robustness and high efficiency.

Region-of-Interest Based Neural Video Compression

no code implementations3 Mar 2022 Yura Perugachi-Diaz, Guillaume Sautière, Davide Abati, Yang Yang, Amirhossein Habibian, Taco S Cohen

To the best of our knowledge, our proposals are the first solutions that integrate ROI-based capabilities into neural video compression models.

Quantization Video Compression

An Exploratory Study of Stock Price Movements from Earnings Calls

no code implementations31 Jan 2022 Sourav Medya, Mohammad Rasoolinejad, Yang Yang, Brian Uzzi

Third, the semantic features of transcripts are more predictive of stock price movements than sales and earnings per share, i. e., traditional hard data in most of the cases.

MHSnet: Multi-head and Spatial Attention Network with False-Positive Reduction for Pulmonary Nodules Detection

no code implementations31 Jan 2022 Juanyun Mai, Minghao Wang, Jiayin Zheng, Yanbo Shao, Zhaoqi Diao, Xinliang Fu, Yulong Chen, Jianyu Xiao, Jian You, Airu Yin, Yang Yang, Xiangcheng Qiu, Jinsheng Tao, Bo wang, Hua Ji

The false positive reduction module significantly decreases the average number of candidates generated per scan by 68. 11% and the false discovery rate by 13. 48%, which is promising to reduce distracted proposals for the downstream tasks based on the detection results.

Head Detection

Semantic-assisted image compression

no code implementations29 Jan 2022 Qizheng Sun, Caili Guo, Yang Yang, Jiujiu Chen, Xijun Xue

Experimental results show that the proposed SAIC method can retain more semantic-level information and achieve better performance of downstream AI tasks compared to the traditional deep learning-based method and the advanced perceptual method at the same compression ratio.

Image Compression

Bandwidth and Power Allocation for Task-Oriented SemanticCommunication

no code implementations26 Jan 2022 Chuanhong Liu, Caili Guo, Yang Yang, Jiujiu Chen

The first subproblem is a compression ratio optimization problem with a given resource allocation scheme, which is solved by a enumeration algorithm.

Privacy-aware Early Detection of COVID-19 through Adversarial Training

no code implementations9 Jan 2022 Omid Rohanian, Samaneh Kouchaki, Andrew Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David Clifton

One of our main contributions is that we specifically target the development of effective COVID-19 detection models with built-in mechanisms in order to selectively protect sensitive attributes against adversarial attacks.

Real-time Rail Recognition Based on 3D Point Clouds

no code implementations8 Jan 2022 Xinyi Yu, Weiqi He, Xuecheng Qian, Yang Yang, Linlin Ou

Accurate rail location is a crucial part in the railway support driving system for safety monitoring.

Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation

1 code implementation5 Jan 2022 Yang Zhang, Yang Yang, Chenyun Xiong, Guodong Sun, Yanwen Guo

Encoder-decoder models have been widely used in RGBD semantic segmentation, and most of them are designed via a two-stream network.

Semantic Segmentation

Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition

1 code implementation CVPR 2022 Yang Yang, Chaoyue Wang, Risheng Liu, Lin Zhang, Xiaojie Guo, DaCheng Tao

With estimated scene depth, our method is capable of re-rendering hazy images with different thicknesses which further benefits the training of the dehazing network.

Image Dehazing

Conditional Generative Data-free Knowledge Distillation

no code implementations31 Dec 2021 Xinyi Yu, Ling Yan, Yang Yang, Libo Zhou, Linlin Ou

In this paper, we propose a conditional generative data-free knowledge distillation (CGDD) framework for training lightweight networks without any training data.

Conditional Image Generation Knowledge Distillation +1

VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction

no code implementations8 Dec 2021 Dan Li, Yang Yang, Hongyin Tang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen

With the booming of pre-trained transformers, representation-based models based on Siamese transformer encoders have become mainstream techniques for efficient text matching.

Text Matching

ACNet: Approaching-and-Centralizing Network for Zero-Shot Sketch-Based Image Retrieval

no code implementations24 Nov 2021 Hao Ren, Ziqiang Zheng, Yang Wu, Hong Lu, Yang Yang, Sai-Kit Yeung

The huge domain gap between sketches and photos and the highly abstract sketch representations pose challenges for sketch-based image retrieval (\underline{SBIR}).

Retrieval Sketch-Based Image Retrieval

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning

1 code implementation8 Nov 2021 Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang

To bridge this gap, we present the Graph Robustness Benchmark (GRB) with the goal of providing a scalable, unified, modular, and reproducible evaluation for the adversarial robustness of GML models.

Adversarial Robustness BIG-bench Machine Learning

Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities

no code implementations24 Oct 2021 Chao Fan, Yang Yang, Ali Mostafavi

In this study, we propose using a neural embedding model-graph neural network (GNN)- that leverages the heterogeneous features of urban areas and their interactions captured by human mobility network to obtain vector representations of these areas.

Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning

no code implementations22 Oct 2021 Yang Yang, Hongchen Wei, HengShu Zhu, dianhai yu, Hui Xiong, Jian Yang

In detail, considering that the heterogeneous gap between modalities always leads to the supervision difficulty of using the global embedding directly, CPRC turns to transform both the raw image and corresponding generated sentence into the shared semantic space, and measure the generated sentence from two aspects: 1) Prediction consistency.

Image Captioning Informativeness

Region Semantically Aligned Network for Zero-Shot Learning

no code implementations14 Oct 2021 Ziyang Wang, Yunhao Gou, Jingjing Li, Yu Zhang, Yang Yang

Zero-shot learning (ZSL) aims to recognize unseen classes based on the knowledge of seen classes.

Transfer Learning Zero-Shot Learning

Semantic Communications With AI Tasks

no code implementations29 Sep 2021 Yang Yang, Caili Guo, Fangfang Liu, Chuanhong Liu, Lunan Sun, Qizheng Sun, Jiujiu Chen

A radical paradigm shift of wireless networks from ``connected things'' to ``connected intelligence'' undergoes, which coincides with the Shanno and Weaver's envisions: Communications will transform from the technical level to the semantic level.

Defect Detection

Few-Shot Classification with Task-Adaptive Semantic Feature Learning

no code implementations29 Sep 2021 Meihong Pan, Chunqiu Xia, Hongyi Xin, Yang Yang, Xiaoyong Pan, Hong-Bin Shen

Such approach could lead to information imbalance between support and query samples, which confounds model generalization from support to query samples.


Transformer-based Transform Coding

1 code implementation ICLR 2022 Yinhao Zhu, Yang Yang, Taco Cohen

Neural data compression based on nonlinear transform coding has made great progress over the last few years, mainly due to improvements in prior models, quantization methods and nonlinear transforms.

Data Compression Quantization +1

Extended Successive Convex Approximation for Phase Retrieval with Dictionary Learning

no code implementations13 Sep 2021 Tianyi Liu, Andreas M. Tillmann, Yang Yang, Yonina C. Eldar, Marius Pesavento

The second algorithm, referred to as SCAphase, uses auxiliary variables and is favorable in the case of highly diverse mixture models.

Dictionary Learning Retrieval

Boosting Graph Search with Attention Network for Solving the General Orienteering Problem

no code implementations10 Sep 2021 Zongtao Liu, Jing Xu, Jintao Su, Tao Xiao, Yang Yang

We propose a novel combination of a variant beam search algorithm and a learned heuristic for solving the general orienteering problem.

Prior-Guided Deep Interference Mitigation for FMCW Radars

no code implementations30 Aug 2021 JianPing Wang, Runlong Li, Yuan He, Yang Yang

The effectiveness and accuracy of our proposed complex-valued fully convolutional network (CV-FCN) based interference mitigation approach are verified and analyzed through both simulated and measured radar signals.

Joint LED Selection and Precoding Optimization for Multiple-User Multiple-Cell VLC Systems

no code implementations29 Aug 2021 Yang Yang, Yujie Yang, Mingzhe Chen, Chunyan Feng, Hailun Xia, Shuguang Cui, H. Vincent Poor

First, a MU-MC-VLC system model is established, and then a sum-rate maximization problem under dimming level and illumination uniformity constraints is formulated.

Rethinking the Misalignment Problem in Dense Object Detection

no code implementations27 Aug 2021 Yang Yang, Min Li, Bo Meng, Junxing Ren, Degang Sun, Zihao Huang

On the basis of SALT and SDR loss, we propose SALT-Net, which explicitly exploits task-aligned point-set features for accurate detection results.

Dense Object Detection object-detection +1

Crypto Wash Trading

no code implementations24 Aug 2021 Lin William Cong, Xi Li, Ke Tang, Yang Yang

We introduce systematic tests exploiting robust statistical and behavioral patterns in trading to detect fake transactions on 29 cryptocurrency exchanges.

RGB Image Classification with Quantum Convolutional Ansaetze

no code implementations23 Jul 2021 Yu Jing, Xiaogang Li, Yang Yang, Chonghang Wu, Wenbing Fu, Wei Hu, Yuanyuan Li, Hua Xu

With the rapid growth of qubit numbers and coherence times in quantum hardware technology, implementing shallow neural networks on the so-called Noisy Intermediate-Scale Quantum (NISQ) devices has attracted a lot of interest.

Classification Image Classification

Multi-Stage Aggregated Transformer Network for Temporal Language Localization in Videos

no code implementations CVPR 2021 Mingxing Zhang, Yang Yang, Xinghan Chen, Yanli Ji, Xing Xu, Jingjing Li, Heng Tao Shen

Then for a moment candidate, we concatenate the starting/middle/ending representations of its starting/middle/ending elements respectively to form the final moment representation.

Language Scaling for Universal Suggested Replies Model

no code implementations NAACL 2021 Qianlan Ying, Payal Bajaj, Budhaditya Deb, Yu Yang, Wei Wang, Bojia Lin, Milad Shokouhi, Xia Song, Yang Yang, Daxin Jiang

Faced with increased compute requirements and low resources for language expansion, we build a single universal model for improving the quality and reducing run-time costs of our production system.

Continual Learning Cross-Lingual Transfer

Objects as Extreme Points

no code implementations29 Apr 2021 Yang Yang, Min Li, Bo Meng, Zihao Huang, Junxing Ren, Degang Sun

We also propose a new metric to measure the similarity between two groups of extreme points, namely, Extreme Intersection over Union (EIoU), and incorporate this EIoU as a new regression loss.

object-detection Object Detection

Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport

no code implementations17 Apr 2021 Yang Yang, Zhao-Yang Fu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang

Moreover, we introduce the extrinsic unlabeled multi-modal multi-instance data, and propose the M3DNS, which considers the instance-level auto-encoder for single modality and modified bag-level optimal transport to strengthen the consistency among modalities.

Attribute-Based Robotic Grasping with One-Grasp Adaptation

no code implementations6 Apr 2021 Yang Yang, YuanHao Liu, Hengyue Liang, Xibai Lou, Changhyun Choi

In this work, we introduce an end-to-end learning method of attribute-based robotic grasping with one-grasp adaptation capability.

Robotic Grasping

Collision-Aware Target-Driven Object Grasping in Constrained Environments

no code implementations1 Apr 2021 Xibai Lou, Yang Yang, Changhyun Choi

Grasping a novel target object in constrained environments (e. g., walls, bins, and shelves) requires intensive reasoning about grasp pose reachability to avoid collisions with the surrounding structures.

Robotic Grasping

Self-supervised Discriminative Feature Learning for Deep Multi-view Clustering

1 code implementation28 Mar 2021 Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu

To leverage the multi-view complementary information, we concatenate all views' embedded features to form the global features, which can overcome the negative impact of some views' unclear clustering structures.

Toward Tweet Entity Linking with Heterogeneous Information Networks

1 code implementation IEEE Transactions on Knowledge and Data Engineering 2021 Wei Shen, Yuwei Yin, Yang Yang, Jiawei Han, Jianyong Wang, Xiaojie Yuan

The task of linking an entity mention in a tweet with its corresponding entity in a heterogeneous information network is of great importance, for the purpose of enriching heterogeneous information networks with the abundant and fresh knowledge embedded in tweets.

Entity Linking Metric Learning

ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction

1 code implementation NAACL 2021 Jiahao Bu, Lei Ren, Shuang Zheng, Yang Yang, Jingang Wang, Fuzheng Zhang, Wei Wu

Aspect category sentiment analysis (ACSA) and review rating prediction (RP) are two essential tasks to detect the fine-to-coarse sentiment polarities.

Sentiment Analysis

Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems

no code implementations5 Mar 2021 Chuanhong Liu, Caili Guo, Yang Yang, Mingzhe Chen, H. Vincent Poor, Shuguang Cui

Then, the problem of user selection and bandwidth allocation is studied for FL implemented over a hybrid VLC/RF system aiming to optimize the FL performance.

Federated Learning

Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning

1 code implementation1 Mar 2021 Yang Yang, Jiancong Chen, Ruixuan Wang, Ting Ma, Lingwei Wang, Jie Chen, Wei-Shi Zheng, Tong Zhang

Despite tremendous efforts, it is very challenging to generate a robust model to assist in the accurate quantification assessment of COVID-19 on chest CT images.

Transform Network Architectures for Deep Learning based End-to-End Image/Video Coding in Subsampled Color Spaces

no code implementations27 Feb 2021 Hilmi E. Egilmez, Ankitesh K. Singh, Muhammed Coban, Marta Karczewicz, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen

Most of the existing deep learning based end-to-end image/video coding (DLEC) architectures are designed for non-subsampled RGB color format.

Integrating Pre-trained Model into Rule-based Dialogue Management

no code implementations17 Feb 2021 Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang

Rule-based dialogue management is still the most popular solution for industrial task-oriented dialogue systems for their interpretablility.

Dialogue Management Management +1

A proof by foliation that Lawson's cones are $A_Φ$-minimizing

no code implementations16 Feb 2021 Connor Mooney, Yang Yang

We also analyze the behavior at infinity of the leaves in the foliations.

Analysis of PDEs Differential Geometry

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

2 code implementations ICLR 2021 Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu

To further employ the power of quantization, the mixed precision technique is incorporated in our framework by approximating the inter-layer and intra-layer sensitivity.

Image Classification object-detection +2

Progressive Neural Image Compression with Nested Quantization and Latent Ordering

no code implementations4 Feb 2021 Yadong Lu, Yinhao Zhu, Yang Yang, Amir Said, Taco S Cohen

We present PLONQ, a progressive neural image compression scheme which pushes the boundary of variable bitrate compression by allowing quality scalable coding with a single bitstream.

Image Compression Quantization

A Unified Light Framework for Real-time Fault Detection of Freight Train Images

no code implementations31 Jan 2021 Yang Zhang, Moyun Liu, Yang Yang, Yanwen Guo, Huiming Zhang

Real-time fault detection for freight trains plays a vital role in guaranteeing the security and optimal operation of railway transportation under stringent resource requirements.

Fault Detection Region Proposal

The hybrid dimensional representation of permeability tensor: a reinterpretation of the discrete fracture model and its extension on nonconforming meshes

1 code implementation29 Jan 2021 Ziyao Xu, Yang Yang

The discrete fracture model (DFM) has been widely used in the simulation of fluid flow in fractured porous media.

Numerical Analysis Numerical Analysis

The Hybrid-dimensional Darcy's Law: A Reinterpreted Discrete Fracture Model for Fracture and Barrier Networks on Non-conforming Meshes

no code implementations29 Jan 2021 Ziyao Xu, Zhaoqin Huang, Yang Yang

In this paper, we extend the reinterpreted discrete fracture model for flow simulation of fractured porous media containing flow blocking barriers on non-conforming meshes.

Numerical Analysis Numerical Analysis

Upper Limits on the Isotropic Gravitational-Wave Background from Advanced LIGO's and Advanced Virgo's Third Observing Run

no code implementations28 Jan 2021 The LIGO Scientific Collaboration, The Virgo Collaboration, the KAGRA Collaboration, R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, A. Adams, C. Adams, R. X. Adhikari, V. B. Adya, C. Affeldt, D. Agarwal, M. Agathos, K. Agatsuma, N. Aggarwal, O. D. Aguiar, L. Aiello, A. Ain, T. Akutsu, K. M. Aleman, G. Allen, A. Allocca, P. A. Altin, A. Amato, S. Anand, A. Ananyeva, S. B. Anderson, W. G. Anderson, M. Ando, S. V. Angelova, S. Ansoldi, J. M. Antelis, S. Antier, S. Appert, Koya Arai, Koji Arai, Y. Arai, S. Araki, A. Araya, M. C. Araya, J. S. Areeda, M. Arène, N. Aritomi, N. Arnaud, S. M. Aronson, H. Asada, Y. Asali, G. Ashton, Y. Aso, S. M. Aston, P. Astone, F. Aubin, P. Aufmuth, K. AultONeal, C. Austin, S. Babak, F. Badaracco, M. K. M. Bader, S. Bae, Y. Bae, A. M. Baer, S. Bagnasco, Y. Bai, L. Baiotti, J. Baird, R. Bajpai, M. Ball, G. Ballardin, S. W. Ballmer, M. Bals, A. Balsamo, G. Baltus, S. Banagiri, D. Bankar, R. S. Bankar, J. C. Barayoga, C. Barbieri, B. C. Barish, D. Barker, P. Barneo, S. Barnum, F. Barone, B. Barr, L. Barsotti, M. Barsuglia, D. Barta, J. Bartlett, M. A. Barton, I. Bartos, R. Bassiri, A. Basti, M. Bawaj, J. C. Bayley, A. C. Baylor, M. Bazzan, B. Bécsy, V. M. Bedakihale, M. Bejger, I. Belahcene, V. Benedetto, D. Beniwal, M. G. Benjamin, T. F. Bennett, J. D. Bentley, M. BenYaala, F. Bergamin, B. K. Berger, S. Bernuzzi, D. Bersanetti, A. Bertolini, J. Betzwieser, R. Bhandare, A. V. Bhandari, D. Bhattacharjee, S. Bhaumik, J. Bidler, I. A. Bilenko, G. Billingsley, R. Birney, O. Birnholtz, S. Biscans, M. Bischi, S. Biscoveanu, A. Bisht, B. Biswas, M. Bitossi, M. -A. Bizouard, J. K. Blackburn, J. Blackman, C. D. Blair, D. G. Blair, R. M. Blair, F. Bobba, N. Bode, M. Boer, G. Bogaert, M. Boldrini, F. Bondu, E. Bonilla, R. Bonnand, P. Booker, B. A. Boom, R. Bork, V. Boschi, N. Bose, S. Bose, V. Bossilkov, V. Boudart, Y. Bouffanais, A. Bozzi, C. Bradaschia, P. R. Brady, A. Bramley, A. Branch, M. Branchesi, J. E. Brau, M. Breschi, T. Briant, J. H. Briggs, A. Brillet, M. Brinkmann, P. Brockill, A. F. Brooks, J. Brooks, D. D. Brown, S. Brunett, G. Bruno, R. Bruntz, J. Bryant, A. Buikema, T. Bulik, H. J. Bulten, A. Buonanno, R. Buscicchio, D. Buskulic, R. L. Byer, L. Cadonati, M. Caesar, G. Cagnoli, C. Cahillane, H. W. Cain III, J. Calderón Bustillo, J. D. Callaghan, T. A. Callister, E. Calloni, J. B. Camp, M. Canepa, M. Cannavacciuolo, K. C. Cannon, H. Cao, J. Cao, Z. Cao, E. Capocasa, E. Capote, G. Carapella, F. Carbognani, J. B. Carlin, M. F. Carney, M. Carpinelli, G. Carullo, T. L. Carver, J. Casanueva Diaz, C. Casentini, G. Castaldi, S. Caudill, M. Cavaglià, F. Cavalier, R. Cavalieri, G. Cella, P. Cerdá-Durán, E. Cesarini, W. Chaibi, K. Chakravarti, B. Champion, C. -H. Chan, C. Chan, C. L. Chan, M. Chan, K. Chandra, P. Chanial, S. Chao, P. Charlton, E. A. Chase, E. Chassande-Mottin, D. Chatterjee, M. Chaturvedi, A. Chen, C. Chen, H. Y. Chen, J. Chen, K. Chen, X. Chen, Y. -B. 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Ricci, C. J. Richardson, J. W. Richardson, L. Richardson, P. M. Ricker, G. Riemenschneider, K. Riles, M. Rizzo, N. A. Robertson, R. Robie, F. Robinet, A. Rocchi, J. A. Rocha, S. Rodriguez, R. D. Rodriguez-Soto, L. Rolland, J. G. Rollins, V. J. Roma, M. Romanelli, J. D. Romano, R. Romano, C. L. Romel, A. Romero, I. M. Romero-Shaw, J. H. Romie, C. A. Rose, D. Rosińska, S. G. Rosofsky, M. P. Ross, S. Rowan, S. J. Rowlinson, Santosh Roy, Soumen Roy, D. Rozza, P. Ruggi, K. Ryan, S. Sachdev, T. Sadecki, J. Sadiq, N. Sago, S. Saito, Y. Saito, K. Sakai, Y. Sakai, M. Sakellariadou, Y. Sakuno, O. S. Salafia, L. Salconi, M. Saleem, F. Salemi, A. Samajdar, E. J. Sanchez, J. H. Sanchez, L. E. Sanchez, N. Sanchis-Gual, J. R. Sanders, A. Sanuy, T. R. Saravanan, N. Sarin, B. Sassolas, H. Satari, S. Sato, T. Sato, O. Sauter, R. L. Savage, V. Savant, T. Sawada, D. Sawant, H. L. Sawant, S. Sayah, D. Schaetzl, M. Scheel, J. Scheuer, A. Schindler-Tyka, P. Schmidt, R. Schnabel, M. Schneewind, R. M. S. Schofield, A. Schönbeck, B. W. Schulte, B. F. Schutz, E. Schwartz, J. Scott, S. M. Scott, M. Seglar-Arroyo, E. Seidel, T. Sekiguchi, Y. Sekiguchi, D. Sellers, A. Sergeev, A. S. Sengupta, N. Sennett, D. Sentenac, E. G. Seo, V. Sequino, Y. Setyawati, T. Shaffer, M. S. Shahriar, B. Shams, L. Shao, S. Sharifi, A. Sharma, P. Sharma, P. Shawhan, N. S. Shcheblanov, H. Shen, S. Shibagaki, M. Shikauchi, R. Shimizu, T. Shimoda, K. Shimode, R. Shink, H. Shinkai, T. Shishido, A. Shoda, D. H. Shoemaker, D. M. Shoemaker, K. Shukla, S. ShyamSundar, M. Sieniawska, D. Sigg, L. P. Singer, D. Singh, N. Singh, A. Singha, A. M. Sintes, V. Sipala, V. Skliris, B. J. J. Slagmolen, T. J. Slaven-Blair, J. Smetana, J. R. Smith, R. J. E. Smith, S. N. Somala, K. Somiya, E. J. Son, K. Soni, S. Soni, B. Sorazu, V. Sordini, F. Sorrentino, N. Sorrentino, H. Sotani, R. Soulard, T. Souradeep, E. Sowell, V. Spagnuolo, A. P. Spencer, M. Spera, A. K. Srivastava, V. Srivastava, K. Staats, C. Stachie, D. A. Steer, J. Steinlechner, S. Steinlechner, D. J. Stops, M. Stover, K. A. Strain, L. C. Strang, G. Stratta, A. Strunk, R. Sturani, A. L. Stuver, J. Südbeck, S. Sudhagar, V. Sudhir, R. Sugimoto, H. G. Suh, T. Z. Summerscales, H. Sun, L. Sun, S. Sunil, A. Sur, J. Suresh, P. J. Sutton, Takamasa Suzuki, Toshikazu Suzuki, B. L. Swinkels, M. J. Szczepańczyk, P. Szewczyk, M. Tacca, H. Tagoshi, S. C. Tait, H. Takahashi, R. Takahashi, A. Takamori, S. Takano, H. Takeda, M. Takeda, C. Talbot, H. Tanaka, Kazuyuki Tanaka, Kenta Tanaka, Taiki Tanaka, Takahiro Tanaka, A. J. Tanasijczuk, S. Tanioka, D. B. Tanner, D. Tao, A. Tapia, E. N. Tapia San Martin, J. D. Tasson, S. Telada, R. Tenorio, L. Terkowski, M. Test, M. P. Thirugnanasambandam, M. Thomas, P. Thomas, J. E. Thompson, S. R. Thondapu, K. A. Thorne, E. Thrane, Shubhanshu Tiwari, Srishti Tiwari, V. Tiwari, K. Toland, A. E. Tolley, T. Tomaru, Y. Tomigami, T. Tomura, M. Tonelli, A. Torres-Forné, C. I. Torrie, I. Tosta e Melo, D. Töyrä, A. Trapananti, F. Travasso, G. Traylor, M. C. Tringali, A. Tripathee, L. Troiano, A. Trovato, L. Trozzo, R. J. Trudeau, D. S. Tsai, D. Tsai, K. W. Tsang, T. Tsang, J-S. Tsao, M. Tse, R. Tso, K. Tsubono, S. Tsuchida, L. Tsukada, D. Tsuna, T. Tsutsui, T. Tsuzuki, M. Turconi, D. Tuyenbayev, A. S. Ubhi, N. Uchikata, T. Uchiyama, R. P. Udall, A. Ueda, T. Uehara, K. Ueno, G. Ueshima, D. Ugolini, C. S. Unnikrishnan, F. Uraguchi, A. L. Urban, T. Ushiba, S. A. Usman, A. C. Utina, H. Vahlbruch, G. Vajente, A. Vajpeyi, G. Valdes, M. Valentini, V. Valsan, N. van Bakel, M. van Beuzekom, J. F. J. van den Brand, C. Van Den Broeck, N. Van Remortel, D. C. Vander-Hyde, L. van der Schaaf, J. V. van Heijningen, M. H. P. M. van Putten, M. Vardaro, A. F. Vargas, V. Varma, M. Vasúth, A. Vecchio, G. Vedovato, J. Veitch, P. J. Veitch, K. Venkateswara, J. Venneberg, G. Venugopalan, D. Verkindt, Y. Verma, D. Veske, F. Vetrano, A. Viceré, A. D. Viets, V. Villa-Ortega, J. -Y. Vinet, S. Vitale, T. Vo, H. Vocca, E. R. G. von Reis, J. von Wrangel, C. Vorvick, S. P. Vyatchanin, L. E. Wade, M. Wade, K. J. Wagner, R. C. Walet, M. Walker, G. S. Wallace, L. Wallace, S. Walsh, J. Wang, J. Z. Wang, W. H. Wang, R. L. Ward, J. Warner, M. Was, T. Washimi, N. Y. Washington, J. Watchi, B. Weaver, L. Wei, M. Weinert, A. J. Weinstein, R. Weiss, C. M. Weller, F. Wellmann, L. Wen, P. Weßels, J. W. Westhouse, K. Wette, J. T. Whelan, D. D. White, B. F. Whiting, C. Whittle, D. Wilken, D. Williams, M. J. Williams, A. R. Williamson, J. L. Willis, B. Willke, D. J. Wilson, W. Winkler, C. C. Wipf, T. Wlodarczyk, G. Woan, J. Woehler, J. K. Wofford, I. C. F. Wong, C. Wu, D. S. Wu, H. Wu, S. Wu, D. M. Wysocki, L. Xiao, W-R. Xu, T. Yamada, H. Yamamoto, Kazuhiro Yamamoto, Kohei Yamamoto, T. Yamamoto, K. Yamashita, R. Yamazaki, F. W. Yang, L. Yang, Yang Yang, Yi Yang, Z. Yang, M. J. Yap, D. W. Yeeles, A. B. Yelikar, M. Ying, K. Yokogawa, J. Yokoyama, T. Yokozawa, A. Yoon, T. Yoshioka, Hang Yu, Haocun Yu, H. Yuzurihara, A. Zadrożny, M. Zanolin, S. Zeidler, T. Zelenova, J. -P. Zendri, M. Zevin, M. Zhan, H. Zhang, J. Zhang, L. Zhang, R. Zhang, T. Zhang, C. Zhao, G. Zhao, Yue Zhao, Yuhang Zhao, Z. Zhou, X. J. Zhu, Z. -H. Zhu, M. E. Zucker, J. Zweizig

Unlike in previous observing runs in the advanced detector era, we include Virgo in the search for the GWB.

General Relativity and Quantum Cosmology Cosmology and Nongalactic Astrophysics

What social media told about us in the time of COVID-19: a scoping review

no code implementations5 Jan 2021 Shu-Feng Tsao, Helen Chen, Therese Tisseverasinghe, Yang Yang, Lianghua Li, Zahid A. Butt

With the onset of COVID-19 pandemic, social media has rapidly become a crucial communication tool for information generation, dissemination, and consumption.

Misinformation Social and Information Networks

Federated Unlearning

no code implementations27 Dec 2020 Gaoyang Liu, Xiaoqiang Ma, Yang Yang, Chen Wang, Jiangchuan Liu

In this paper, we take the first step to fill this gap by presenting FedEraser, the first federated unlearning methodology that can eliminate the influence of a federated client's data on the global FL model while significantly reducing the time used for constructing the unlearned FL model. The basic idea of FedEraser is to trade the central server's storage for unlearned model's construction time, where FedEraser reconstructs the unlearned model by leveraging the historical parameter updates of federated clients that have been retained at the central server during the training process of FL.

Data Poisoning Federated Learning

PURE: A Framework for Analyzing Proximity-based Contact Tracing Protocols

no code implementations17 Dec 2020 Fabrizio Cicala, Weicheng Wang, Tianhao Wang, Ninghui Li, Elisa Bertino, Faming Liang, Yang Yang

Many proximity-based tracing (PCT) protocols have been proposed and deployed to combat the spreading of COVID-19.

Computers and Society C.3; H.4; J.3; J.7; K.4; K.6.5

Learning to Check Contract Inconsistencies

1 code implementation15 Dec 2020 Shuo Zhang, Junzhou Zhao, Pinghui Wang, Nuo Xu, Yang Yang, Yiting Liu, Yi Huang, Junlan Feng

This will result in the issue of contract inconsistencies, which may severely impair the legal validity of the contract.

Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs

no code implementations12 Dec 2020 Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Yang Yang, Chunping Wang, Jiangang Lu

To bridge the gap between theoretical graph attacks and real-world scenarios, in this work, we propose a novel and more realistic setting: strict black-box graph attack, in which the attacker has no knowledge about the victim model at all and is not allowed to send any queries.

Adversarial Attack Graph Classification +1

Denoising-based Turbo Message Passing for Compressed Video Background Subtraction

no code implementations10 Dec 2020 Zhipeng Xue, Xiaojun Yuan, Yang Yang

In this paper, we consider the compressed video background subtraction problem that separates the background and foreground of a video from its compressed measurements.

Denoising Optical Flow Estimation +1

Improving Knowledge Tracing via Pre-training Question Embeddings

1 code implementation9 Dec 2020 Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu

Knowledge tracing (KT) defines the task of predicting whether students can correctly answer questions based on their historical response.

Knowledge Tracing

Unsupervised Adversarially-Robust Representation Learning on Graphs

no code implementations4 Dec 2020 Jiarong Xu, Yang Yang, Junru Chen, Chunping Wang, Xin Jiang, Jiangang Lu, Yizhou Sun

Additionally, we explore a provable connection between the robustness of the unsupervised graph encoder and that of models on downstream tasks.

Adversarial Robustness Community Detection +4

Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph

1 code implementation25 Nov 2020 Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Mahsa Baktashmotlagh

Most of the prior efforts are devoted to learning node embeddings with graph neural networks (GNNs), which preserve the signed network topology by message-passing along edges to facilitate the downstream link prediction task.

Link Prediction

Query-aware Tip Generation for Vertical Search

no code implementations19 Oct 2020 Yang Yang, Junmei Hao, Canjia Li, Zili Wang, Jingang Wang, Fuzheng Zhang, Rao Fu, Peixu Hou, Gong Zhang, Zhongyuan Wang

Existing work on tip generation does not take query into consideration, which limits the impact of tips in search scenarios.

Decision Making

Text-Embedded Bilinear Model for Fine-Grained Visual Recognition

no code implementations12 Oct 2020 Liang Sun, Xiang Guan, Yang Yang, Lei Zhang

Specially, we first conduct a text-embedded network to embed text feature into the discriminative image feature learning to get a embedded feature.

Fine-Grained Image Recognition Fine-Grained Visual Recognition +1

Universal Weighting Metric Learning for Cross-Modal Matching

1 code implementation CVPR 2020 Jiwei Wei, Xing Xu, Yang Yang, Yanli Ji, Zheng Wang, Heng Tao Shen

Furthermore, we introduce a new polynomial loss under the universal weighting framework, which defines a weight function for the positive and negative informative pairs respectively.

Metric Learning Text Matching

Towards Fast, Accurate and Stable 3D Dense Face Alignment

3 code implementations ECCV 2020 Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li

Firstly, on the basis of a lightweight backbone, we propose a meta-joint optimization strategy to dynamically regress a small set of 3DMM parameters, which greatly enhances speed and accuracy simultaneously.

 Ranked #1 on 3D Face Reconstruction on Florence (Mean NME metric)

3D Face Modelling 3D Face Reconstruction +2

AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss

1 code implementation17 Sep 2020 Yanlun Tu, Jianxing Feng, Yang Yang

Here we present a self-supervised representation learning method, namely AAG, which is featured by an auxiliary augmentation strategy and GNT-Xent loss.

Contrastive Learning Representation Learning +1

GIKT: A Graph-based Interaction Model for Knowledge Tracing

3 code implementations13 Sep 2020 Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Wei-Nan Zhang, Yong Yu

With the rapid development in online education, knowledge tracing (KT) has become a fundamental problem which traces students' knowledge status and predicts their performance on new questions.

Knowledge Tracing

Learning Adaptive Embedding Considering Incremental Class

no code implementations31 Aug 2020 Yang Yang, Zhen-Qiang Sun, HengShu Zhu, Yanjie Fu, Hui Xiong, Jian Yang

To this end, we propose a Class-Incremental Learning without Forgetting (CILF) framework, which aims to learn adaptive embedding for processing novel class detection and model update in a unified framework.

class-incremental learning Incremental Learning

S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification

no code implementations11 Aug 2020 Yang Yang, Zhen-Qiang Sun, Hui Xiong, Jian Yang

Open set classification (OSC) tackles the problem of determining whether the data are in-class or out-of-class during inference, when only provided with a set of in-class examples at training time.

General Classification Knowledge Distillation